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REVIEW article

Front. Immunol., 25 August 2020
Sec. Cancer Immunity and Immunotherapy

Anti-angiogenic Agents in Combination With Immune Checkpoint Inhibitors: A Promising Strategy for Cancer Treatment

  • 1Cancer Center, Hubei Provincial Research Center for Precision Medicine of Cancer, Renmin Hospital of Wuhan University, Wuhan, China
  • 2Department of Oncology, Xiangyang Hospital, Hubei University of Chinese Medicine, Xiangyang, China
  • 3Medical Research Centre, The First Affiliated Hospital of Shandong First Medical University, Jinan, China
  • 4Institute of Cancer, Xinqiao Hospital, Army Medical University, Chongqing, China
  • 5Department of Oncology, The First Affiliated Hospital of Shandong First Medical University, Jinan, China

Advances in cancer immunity have promoted a major breakthrough in the field of cancer therapy. This is mainly associated with the successful development of immune checkpoint inhibitors (ICIs) for multiple types of human tumors. Blockade with different ICIs, including programmed cell death 1 (PD-1), programmed cell death-ligand 1 (PD-L1), and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) inhibitors, may activate the immune system of the host against malignant cells. However, only a subgroup of patients with cancer would benefit from immune checkpoint blockade. Some patients experience primary resistance to initial immunotherapy, and a majority eventually develop acquired resistance to ICIs. However, the mechanisms involved in the development of drug resistance to immune checkpoint blockade remain unclear. Recent studies supported that combination of ICIs and anti-angiogenic agents could be a promising therapeutic strategy for overcoming the low efficacy of ICIs. Moreover, through their direct anti-cancer effect by inhibiting tumor growth and metastasis, anti-angiogenic drugs reprogram the tumor milieu from an immunosuppressive to an immune permissive microenvironment. Activated immunity by immune checkpoint blockade also facilitates anti-angiogenesis by downregulating the expression of vascular endothelial growth factor and alleviating hypoxia condition. Many clinical trials showed an improved anti-cancer efficacy and prolonged survival following the addition of anti-angiogenic agents to ICIs. This review summarizes the current understanding and clinical development of combination therapy with immune checkpoint blockade and anti-angiogenic strategy.

Introduction

Cancer immunotherapy has achieved great advances during the past several decades due to improved understanding of tumor immunobiology, which boost durable tumor immune response, lead to long-term tumor remission, and even cure a subgroup of patients (1). Prominent immunotherapy involves the use of immune checkpoint inhibitors (ICIs) targeting negative regulators of specific CD8+ T cells or immune checkpoints, such as programmed cell death 1 (PD-1), programmed cell death ligand 1 (PD-L1), and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) (2). Ipilimumab is the first antagonistic CTLA-4 antibody approved by the US Food and Drug Administration in 2011, improving overall survival (OS) in patients with advanced or metastatic melanoma. Monotherapy with other antibodies targeting PD-1 or PD-L1 has been shown to be effective against numerous types of human tumors (3). Furthermore, promising results from clinical trials inspired further investigations regarding the possible blockade of alternative immune checkpoints. However, only a proportion of patients are initially responsive to immune checkpoint blockade and a majority are intrinsically resistant to these therapies, partly because of the low number of infiltrating lymphocytes in the tumor bed (4). In addition, most patients eventually develop acquired resistance to ICIs, and the mechanisms involved in the development of drug resistance remain unknown (2).

Anti-angiogenesis is another promising therapeutic strategy designed to disrupt the vascular supply and starve tumor of nutrients and oxygen. This is achieved mainly by blocking the vascular endothelial growth factor (VEGF)/VEGF receptor (VEGFR) signaling pathway that is active in the tumor microenvironment with hypoxia condition. As a result, there is a local balance between pro-angiogenic factors, anti-angiogenic factors, and vessel normalization following anti-angiogenic therapy (5). A total of 11 anti-angiogenic agents, including anti-VEGF antibody, anti-VEGFR antibody, as well as VEGFR tyrosine kinase inhibitors (TKIs), have been approved for certain types of cancer. However, monotherapy with an anti-angiogenic agent or combination with chemotherapy or targeted therapies demonstrated limited clinical benefits for most patients with cancer. Given that both anti-angiogenesis and immune checkpoint blockade focus on targeting the tumor microenvironment, the combination of ICIs and anti-angiogenic agents presents a potential synergistic anti-tumor effect (6). This review summarizes the current understanding and clinical development of combination therapy of immune checkpoint blockade and anti-angiogenesis.

Synergistic Anti-Tumor Mechanisms Attributable to Anti-Angiogenic Agents in Combination With ICIs

It is well-established that tumor angiogenesis is deregulated under the continuous stimulation of excessive release of pro-angiogenic factors, such as VEGF, which can be induced by hypoxia or specific genetic alterations. Junctional defects of endothelial cells result in leaky tumor vasculature that is usually tortuous, dilated, and poorly covered with pericytes. Anti-angiogenic therapy can downregulate continuous angiogenic signaling and result in vasculature normalization, such as pruning, vasculature maturation, and increased perfusion (5). As a result, the local concentration and efficacy of other anti-cancer drugs, including cytotoxic drugs, targeted drugs, and ICIs, are significantly improved (7).

The cancer immunity cycle described by Chen and Mellman (8) includes seven important steps, which may control an effective and systematic anti-tumor immune response: (a) release of cancer cell antigens; (b) cancer antigen presentation; (c) priming and activation of antigen-presenting cells and T cells; (d) trafficking of T cells to tumors; (e) infiltration of T cells into tumors; (f) recognition of cancer cells; and (g) killing of cancer cells. In fact, VEGF signaling decreases the anti-tumor response by influencing multiple steps of the cancer immunity cycle (9), including the functional maturation of dendritic cells (DCs), priming and activation of T cells, trafficking of T cells from the lymph node to the tumor bed, and infiltration of T cells into tumors. Thus, anti-angiogenic drugs could recover the host's potent anti-tumor immune response by interfering with the multiple steps of the cancer immunity cycle.

Anti-angiogenic Agents Promote Antigen Presentation and Activate Cytotoxic CD8+ T Cells

DCs are the main antigen-presenting cells and derived from hematopoietic bone marrow prognostic cells. Immature DCs fail to present cancer antigens to T cells because of the lack of expression of surface MHC-I, MHC-II, and costimulatory molecules. Mature DCs have been found to be inversely correlated with increased VEGF levels in the circulation (10); however, patients with immature DCs in the peripheral blood had increased levels of plasma VEGF. VEGF affects the differentiation and maturation of DCs by inhibiting the transcriptional activation of nuclear factor-κB (11), resulting in inactivation of cytotoxic T lymphocytes. It was found that VEGF blockade results in a more mature DC phenotype in mouse models of glioblastoma, demonstrated by the increasing expression of the co-stimulatory molecules B7-1, B7-2, and MHC-II (12). Specifically, anti-angiogenic agents alleviate the restraining effects of VEGF on the migration capacity and immune function of DCs (13). Thus, normalization of the tumor vasculature promotes antitumor immunity by enhancing the uptake of antigen presentation in DCs.

Under high concentrations, VEGF induces apoptotic pathways in cytotoxic CD8+ T cells by increasing the expression of PD-1 and activates regulatory T cells (Tregs) in a VEGFR2-dependent manner (14). Activation of the PD-1/PD-L1 pathway regulates CD4+ T-cell differentiation into Tregs expressing the forkhead box P3 (FOXP3), directly triggering immune suppression. Mulligan et al. (15) have shown that, in oral squamous carcinoma, VEGF induces the secretion of prostaglandin E2 (PGE2) by endothelial cells. PGE2 is an immune suppressant disrupting T-cell activation and suppressing T-cell generation and cytotoxic functions (15). In addition, there are results showing that memory CD4+ T cells can recognize neoantigens and may lead to cancer remission after immunomodulation in the hepatocellular carcinoma (HCC) microenvironment after treatment with sorafenib (16). Meanwhile, other findings imply that stable vessels due to treatment with bevacizumab in pancreatic ductal adenocarcinoma supply anti-cancer immune cells including memory CD4+ T cells, which are at least partially responsible for the better OS observed in patients with tumors expressing high levels of CD31 (17).

Anti-angiogenic Agents Promote the Infiltration and Migration of Lymphocytes

The migration of lymphocytes from blood to the tumor stroma is affected by the integrity of the tumor vasculature. Anti-angiogenic antibodies, such as VEGF inhibitors (e.g., bevacizumab), can promote T-cell infiltration into solid tumors and enhance the efficacy of immunotherapy (18). Additionally, a mouse model using a BRAF inhibitor in combination with adoptive transfer of T cells revealed that the downregulation of VEGF was responsible for the increase in T-cell infiltration (19). Anti-angiogenic agents suppress tumor growth and restore microvessel density, as well as upregulate endothelial adhesion molecules in tumor vessels which lead to enhanced T-cell infiltration. Dirkx et al. (20) discovered that in two mouse models (i.e., colon carcinoma LS174T/nude mice and B16F10 melanoma/C57bl/6), treatment with angiogenesis inhibitors (i.e., anginex, endostatin, angiostatin, and paclitaxel) improved the leucocyte-vessel wall interaction by upregulation of adhesion molecules.

The angiopoietins affect inflammation and immune trafficking by increasing the expression of platelet endothelial cell adhesion molecule-1 (PECAM-1) and vascular endothelial-cadherin, and decreasing that of vascular-cell adhesion molecule-1 (VCAM-1), intracellular adhesion molecule-1 (ICAM-1), and endothelial leukocyte adhesion molecule 1 (ELAM-1) (21). Consequently, inhibition of angiopoietins or other angiogenic activators may restore normal immune cells trafficking and promote lymphocyte infiltration into the tumor (22). Pro-angiogenic factors in the tumor microenvironment suppress the expression of adhesion molecules and chemokines, such as CXC chemokine ligands 10 (CXCL10) and CXCL11, that attract cytolytic T cells and natural killer cells (23). Nitric oxide and epidermal growth factor-like domain 7 (EGFL7) can also regulate the expression of adhesion molecules in tumors (24, 25). Bevacizumab in combination with atezolizumab increases the number of intra-tumor CD8+ T cells, and increases the expression of intra-tumor chemokine CX3C-ligand1 (CX3CL1) and the CX3CL1 receptor (CX3CR1) on CD8+ T cells (26) and trafficking lymphocytes in metastatic renal cell carcinoma (mRCC) models. These findings suggest that this combination treatment improves antigen-specific T-cell migration.

Anti-angiogenic Agents Reduce Immunosuppression

Immunosuppression acts as a survival mechanism of cancer cells to escape elimination by the human immune defense system. Cancer cells can inhibit the generation of anti-tumor response through a variety of immunosuppression-related mechanisms, such as downregulating the expression of antigens and MHC-I, altering the immunosuppressive signal, secreting inhibitory factors that dampen the activity of immune cells, and recruiting inhibitory immune cells (27, 28). Moreover, endothelial cells in the tumor vasculature also control immunosuppression by modulating the activity and variability of immune cells. Firstly, the Fas ligand is upregulated in response to tumor-derived VEGF, interleukin 10 (IL-10), and PGE3. Secondly, some inhibitory molecules, including PD-L1, T cells immunoglobulin, and domain-containing protein 3 (TIM3), tumor necrosis factor-related apoptosis-inducing ligand, and transforming growth factor-β (TGF-β) are found in endothelial cells. This suggests a possible regulatory effect of endothelial cells on angiogenesis (29). Thus, anti-angiogenic therapy also regulates immunosuppression by changing the function of tumor vasculature endothelial cells. Compelling evidence indicates that myeloid-derived suppressor cells (MDSCs), Tregs, tumor-associated macrophages (TAMs), regulatory DCs, neutrophils, T helper 17 (Th17) cells, and regulatory B cells are key immunosuppressive cells that promote tumor progression (30, 31). The immunosuppressive tumor microenvironment is established by recruiting immunosuppressive cells and tumor cell-derived immunosuppressive cytokines, such as VEGF, TGF-β, galectin, or indoleamine 2-3-dioxygenase (32). MDSCs, TAMs, and Tregs are the major effector cells in this immunosuppressive microenvironment. MDSCs can diminish the antitumor immune response in such a microenvironment by: (a) inducing Tregs; (b) producing immunosuppressive cytokines, such as TGF-β; (c) depleting or sequestering the amino acids arginine, tryptophan, or cysteine required for the function of T cells; or (d) nitrating the T-cell receptor or chemokine receptors on tumor-specific T cells (33). Meanwhile, tumor-derived granulocyte-macrophage colony-stimulating factor, IL-1β, VEGF, and PGE2 lead to the accumulation of MDSCs in the tumor microenvironment (33).

Normalization of the tumor vasculature can reduce the immunosuppression exerted by Tregs, TAMs, and MDSCs (34). Increases in intratumoral CD8+ T cells and macrophages were observed after monotherapy with bevacizumab in mRCC. These effects resulted in an upregulation of MHC-I on tumor cells, and increased the expression of Th1 and T effector gene signatures in post-dose biopsies (35).

Tregs can secrete the immunosuppressive cytokine IL-10, TGF-β, and express immune checkpoint molecules (e.g., PD-1) to inhibit the activity of antigen-presenting cells and effector cells. However, the reduced induction of T-cell differentiation into Tregs and promoting effector Th cells, which generate interferon-γ (IFN-γ), can be implemented by blocking the signal transducer and activator of transcription 3 (STAT3) signaling pathway, thereby suppressing tumor growth (36). CXC chemokines are potent angiogenic factors promoting the migration and generation of endothelial cells (37). Anti-angiogenic therapy targeting VEGF/VEGFR may restrain the expression of CXCL1, IL-1β, and IL-6 to inhibit Tregs chemotaxis and accumulation in tumors (38).

Alleviated hypoxia, owing to normalization of the tumor vasculature, preferentially induces polarization of TAMs to the M1-like phenotype (39). Tumor cells secrete VEGF-A and VEGFR2 to improve the formation and effectiveness of MDSCs (40), which can be reduced by some anti-angiogenic drugs. This indicates the potential for utilization, with an indirect impact of MDSCs on alterations in Tregs. Overall, anti-angiogenic therapy reprograms the tumor vasculature by normalization and leads to improved anti-tumor immune response.

ICIs Can Enhance the Anti-cancer Effects of Anti-angiogenic Agents by Relieving Immunosuppression

In addition to eliciting immune-mediated elimination of tumor cells, ICIs were also demonstrated to promote normalization of the tumor vasculature in orthotopic breast and ectopic colon tumor models (34, 41). In both studies, blockade of CTLA-4 or PD-1 reduced tumor vascular density, improved vessel perfusion, and alleviated tumor tissue hypoxia, all of which were marks of the vascular normalization effect. In mouse models lacking CD4+ T lymphocytes (CD4–/–) or CD8 T lymphocytes (CD8–/–) through genetic knockout, it was found that blockade of CTLA-4 and PD-1 facilitated tumor vessel normalization by the activation of CD4+ Th1 cells (34). Furthermore, the exhaustion of Tregs led to aggregation of CD8+ effector T cells and increased the production of IFN-γ, along with increased tumor vessel perfusion detectable by Doppler ultrasonography prior to tumor shrinkage (41). Thus, it is suggested that the vasculature-normalizing effect of ICIs is mainly mediated by the activation of CD8+ T cells via the IFN-γ signaling pathway. IFN-γ elevated the expression of endothelial adhesion molecules ICAM1 and e-selectin, which mediate immunocyte infiltration, decreased that of endothelial VEGFA and increased the expression of CXCL9, CXCL10, and CXCL1, which recruit Th1 cells (41). In addition, Th1 type chemokines (e.g., CXCL9 and CXCL10) can engender angiostatic effects (42) by stimulating the recruitment of pericytes (41), apart from acting as chemoattractants for effector T cells (43). Interestingly, the decrease of Tregs also stimulates the infiltration of eosinophils in tumors (44). In addition, anti-CTLA-4 therapy has been reported to increase the infiltration of eosinophils via the activation of memory CD4+ and CD8+ T lymphocytes in breast tumor models (45). Meanwhile, IFN-γ is secreted to promote tumor vessel normalization, enhancing the infiltration of effector T cells.

Immune checkpoints PD-1/PD-L1 play an important role in immunosuppression in various types of cancer. Some inhibitory cells, including MDSCs, Tregs, and M2-macrophages, as well as secretory immunomodulatory factors are pivotal for immunosuppression (46). In fact, these inhibitory cells also stimulate angiogenesis by increasing the expression of pro-angiogenic factors from the extracellular matrix. The immunosuppressive tumor microenvironment attributed to repressive inflammatory cells may play a major role in mediating the adaptive resistance to anti-angiogenic agents. It is well-known that anti-VEGF therapy can cause tumor hypoxia due to excessive vessel regression, M2-TAMs attracted by oncostatin M and eotaxin from hypoxic tumor cells might be a compensatory mechanism to secure tumor angiogenesis through providing pro-angiogenic factors (47), which seems partially responsible for the resistance to anti-VEGF therapy. Furthermore, MDSC-derived Bv8 (prokinectin 2) is found to directly promote tumor angiogenesis even when the VEGF signaling pathway is blocked (48, 49). These studies have provided compelling evidence that anti-angiogenic therapy is more effective following the generation of an immunostimulatory microenvironment. Based on various studies, the proposition that angiogenesis and inflammation are mutually regulated has been accepted (5052). As mentioned, alleviated hypoxia and normalization of the tumor vasculature by ICIs also contribute to reprogram the immunosuppression environment, which in turn enhances the anti-tumor effects of both therapies. Thus, alleviated immunosuppression coupled with normalization of the tumor vasculature eventually achieve a loop of positive feedback that promotes each other (Figure 1). This further assists in identifying new, non-invasive, predictive biomarkers for immunotherapy and develop more effective combination strategies. Functional detection of vascular remodeling within the tumor microenvironment with Doppler ultrasonography, perfusion scans, or dynamic contrast-enhanced magnetic resonance imaging can more accurately represent tumor vascular rebuilding induced by ICIs, which extends beyond the traditional tumor cell and immune cell analysis (43). With the normalization of the tumor vessels and tissue perfusion as well as the promotion of oxygenation, ICIs therapy may increase the concentration of agents from other systemic therapies in tumors (53) and enhance radiosensitivity. Nevertheless, more detailed investigation is warranted to delicately investigate the feasibility of the new ICIs combination strategies.

FIGURE 1
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Figure 1. The mutual regulation between vasculature normalization and immune activation in tumor microenvironment.

Clinical Data Involving the Combination of Anti-Angiogenic Agents and ICIs

Numerous clinical trials and other studies have focused on the combination of anti-angiogenic agents and ICIs. The results of these clinical trials are displayed in Table 1. Table 2 exhibits the currently ongoing or recruiting clinical trials to investigate the efficacy of ICIs plus anti-angiogenic agents.

TABLE 1
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Table 1. Clinical trials investigating the combination effect of anti-angiogenic agents and ICIs.

TABLE 2
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Table 2. Ongoing clinical trials investigating the efficacy of ICIs plus anti-angiogenic agents.

Anti-VEGF Antibody and ICIs

When combined with chemotherapy, bevacizumab (an anti-VEGF monoclonal antibody) has been shown to prolong the survival of patients with cancer, especially for those with metastatic colorectal cancer (mCRC) and non-small cell lung cancer (NSCLC).

Bevacizumab, in combination with intravenous fluorouracil-based chemotherapy, is indicated for the first- or second-line treatment of patients with mCRC. A series of phase III clinical studies have demonstrated the survival benefit of adding bevacizumab to chemotherapy (7476). The most common backbone regimen for combination is FOLFOX (fluorouracil–leucovorin–oxaliplatin) (77). The phase III AVEX study, comparing capecitabine–bevacizumab with capecitabine monotherapy in elderly patients (aged > 70 years) with untreated mCRC, showed a significant bevacizumab-related benefit in median progression-free survival (PFS) (78). A phase IV study (NCT01506167) provided evidence that there were no clear differences observed in outcomes between bevacizumab with capecitabine-based chemotherapy and fluorouracil-based regimens and confirmed the safety profile of bevacizumab in a real-world UK-based population (79).

Several meta-analyses have confirmed the benefit of bevacizumab in terms of PFS and OS in the first-line treatment of mCRC. However, a subgroup analysis suggested that the bevacizumab-related survival benefit is observed only when combined with irinotecan-based chemotherapy (8083). Nevertheless, it is widely accepted that the addition of bevacizumab to first-line chemotherapy offers a modest clinical benefit.

The Center for Drug Evaluation of China approved bevacizumab, in combination with platinum-based doublet chemotherapy, for the first-line treatment of patients with unresectable, locally advanced, recurrent or metastatic non-squamous NSCLC. Adding bevacizumab to platinum-based chemotherapy in advanced non-squamous NSCLC confers a significant benefit in terms of PFS and OS (8486) compared with chemotherapy alone.

In a meta-analysis, the addition of bevacizumab to chemotherapy can significantly improve PFS and overall response rate (ORR) both in first- and second-line treatments of advanced NSCLC; however, there was no benefit in terms of OS (87). In the setting of maintenance therapy, PFS was significantly improved by bevacizumab combined with pemetrexed following first-line induction vs. bevacizumab alone. However, OS was not prolonged upon combinatory maintenance therapy, and the treatment led to an increase in adverse events (AEs) (88, 89). Besides, the ERACLE phase III trial, using the evaluation of quality of life as the end point, illustrated that bevacizumab did not exert a superior effect on quality of life as maintenance therapy compared with pemetrexed (90). Some retrospective studies provided caveats regarding the benefit/risk profile in elderly patients (9193). Therefore, bevacizumab in combination with chemotherapy is not recommended for eligible patients aged > 75 years. This subgroup of patients did not obtain significant benefit in terms of ORR, PFS, and OS from the addition of bevacizumab. Moreover, elderly patients in the bevacizumab group experienced a higher incidence of ≥ grade 3 AEs.

Bevacizumab is the first approved anti-VEGF monoclonal antibody that can maximize the clinical benefit of immunotherapy with ICIs. A phase I trial was designed to determine the safety and efficacy of bevacizumab in combination with the CTLA-4 inhibitor ipilimumab in metastatic melanoma (59). A total of 46 patients were included in that study and treated with four dosing combinations of ipilimumab (3 or 10 mg/kg) and bevacizumab (7.5 or 15 mg/kg). Eight and 22 patients had partial response (PR) and stable disease (SD), respectively. The disease control rate (DCR) was 67.4%. Median OS time was 25.1 months. Toxicities were generally higher than expected with ipilimumab alone but remained manageable. Eleven patients experienced grade 3 treatment-related adverse events (TRAEs), and two patients had grade 4 proteinuria and hepatic toxicities. Data from a randomized phase II clinical trial of patients with BRAF wild-type metastatic melanoma suggest an advantage with the sequential use of ipilimumab followed by nanoparticle albumin-bound-paclitaxel + bevacizumab (94). A randomized phase II trial (NCT01950390) to compare the OS of patients with unresectable stage III or stage IV melanoma receiving ipilimumab plus bevacizumab vs. ipilimumab monotherapy is currently ongoing. A phase II study (NCT04091217) evaluating the efficacy and safety of atezolizumab in combination with bevacizumab in patients with unresectable locally advanced or metastatic mucosal melanoma is currently in the patient recruitment phase.

In a retrospective study, 10 patients with untreated mRCC received a single dose of bevacizumab and subsequent combined administration of the anti-PD-L1 antibody atezolizumab and bevacizumab. A total of four patients achieved PR, while another four patients had SD. The median time to response was 4.2 months; however, the median duration of response was not reached (35). The phase II IMmotion150 study demonstrated that combination of bevacizumab and atezolizumab was superior to monotherapy with sunitinib in mRCC (95, 96). The phase III IMmotion151 study, including 915 untreated patients with mRCC, showed a prolonged PFS for PD-L1-positive patients after treatment with bevacizumab and atezolizumab vs. monotherapy with sunitinib (67). Furthermore, addition of bevacizumab to other PD-1/PD-L1 inhibitors (e.g., nivolumab or pembrolizumab) showed potent clinical activity in advanced and pretreated RCC (97, 98). The combination of bevacizumab and nivolumab had a higher ORR than that of nivolumab and ipilimumab (52 vs. 38%, respectively) (98).

In the phase III IMpower150 trials involving untreated patients with advanced non-squamous NSCLC, the combination of bevacizumab and platinum-based chemotherapy and atezolizumab improved PFS compared with chemotherapy and bevacizumab, regardless of the PD-L1 expression status (54). A phase I study evaluating maintenance therapy in patients after post-platinum doublet chemotherapy showed promising median PFS in non-squamous patients: 37.1 weeks with nivolumab and bevacizumab, and 21.4 weeks with nivolumab monotherapy (56). The safety profile was tolerable with nivolumab and bevacizumab. In the KEYNOTE-021 study, the median PFS in cohort B (pembrolizumab/carboplatin/paclitaxel/bevacizumab + pembrolizumab/bevacizumab maintenance) was not reached (NR) vs. that recorded at 10 months in cohort A (without bevacizumab) and cohort C (without bevacizumab) (55). Moreover, there were no pembrolizumab dose-limiting toxicities reported and the proportion of grade 3/4 TRAEs in cohort B was 42%. However, an estimation of efficacy cannot be affirmed because of the small numbers at the data cutoff (99).

For advanced HCC, a phase Ib study combining atezolizumab and bevacizumab confirmed that the response rate was 62%, suggesting that the combination therapy has synergistic clinical activity (61). Grade 3–4 TRAEs occurred in nine patients (35%), and grade 5 AEs were not observed. Given the safety and tolerability of this combination therapy, the US Food Drug Administration (FDA) approved atezolizumab + bevacizumab for the treatment of advanced HCC. During the 44th Congress of the European Society for Medical Oncology, the positive results of the IMbrave 150 phase III study (62) were inspiringly published, revealing a PFS of 6.8 months in the atezolizumab + bevacizumab arm vs. 4.3 months in the sorafenib arm; the ORR was 27 vs. 12%, respectively. At 2020 American Society of Clinical Oncology (ASCO) annual meeting, a network meta-analysis suggested greater OS and PFS benefits with first-line atezolizumab + bevacizumab over other therapies approved for unresectable HCC (100).

In a single practice case series including 20 patients with glioblastoma treated with the combination of ipilimumab and bevacizumab, Carter et al. (101) reported 31% PR, 31% SD, and 38% progressive disease. The toxicity profile of this regimen was basically predictable and manageable. Grade ≥ 3 AEs were found in seven patients (35%), and only two patients discontinued treatment due to AEs (10%).

Anti-VEGFR Antibody and ICIs

Anti-VEGFR antibody also showed a synergistic anti-cancer effect when combined with a checkpoint inhibitor. In a phase I trial of patients with advanced gastric or gastroesophageal junction adenocarcinoma (64), ramucirumab in combination with pembrolizumab led to a promising ORR (7 and 17%) and DCR (46 and 50%) in pretreated and untreated patients, respectively. This combination effect was also confirmed in advanced NSCLC (57, 102). Of the 27 patients with NSCLC included in the study, 30% had an objective response and 85% experienced disease control. Median PFS was not reached, and the median duration of treatment was ≥ 6.8 months. In the pretreated group (59% had received at least two lines of therapy), these results were encouraging. However, the small number of patients limited the confirmation of the effectiveness of this combination against NSCLC. The efficacy of this combination was also observed in urothelial cancer (103).

In an early-stage trial (NCT02572687), the efficacy of the combination of ramucirumab and durvalumab in gastric or gastroesophageal junction carcinomas was reported; five of 29 patients (17%) achieved PR, the ORR for patients with PD-L1 ≥ 25% was 36%, and the median PFS was 2.6 months (65). TRAEs were observed in 24 patients (83%) and 10 patients (35%) suffered grade 3 TRAEs without occurrence of grade 4 or 5 TRAEs.

VEGFR TKIs and ICIs

The combination of VEGFR TKIs with ICIs in RCC, HCC, NSCLC, mucosal melanoma, endometrial carcinoma, esophageal carcinoma, triple-negative breast cancer, microsatellite stability (MSS) gastric carcinoma (GC) and CRC, head and neck squamous cell carcinoma, urothelial carcinoma, osteosarcoma, and other malignant tumors has been associated with favorable outcomes (104).

A group of different VEGFR TKIs were tested in combination with PD-1 blockade in mRCC. The efficacy of axitinib in combination with pembrolizumab in patients with advanced RCC was preliminarily investigated in a phase Ib trial. Following the combination therapy, the ORR was 73%, the proportion of patients achieving complete response was 8%, and tumor shrinkage occurred in > 90% of patients. Only two patients failed to attain tumor shrinkage or stable disease, with a median PFS of > 20 months vs. 10–15 months in the axitinib monotherapy group (105107). A phase II study following the phase Ib trial of lenvatinib + pembrolizumab in patients with mRCC manifested promising antitumor activity, including a median PFS of 17.7 months [95% confidence interval [CI]: 11.9–15.7] and ORR of 66.7% (95% CI: 43.9–80.1) (70) compared with the confirmed ORR of 40.4% for the combination of nivolumab and ipilimumab in mRCC (108, 109). Additionally, nivolumab in combination with sunitinib or pazopanib in patients with mRCC (CheckMate 016 study) that had received more than one prior systematic treatment showed encouraging outcome. The ORR was 55% (18/33) and 45% (9/20) in the sunitinib and pazopanib arms, respectively. Meanwhile, rate of response at the first assessment (week 6) was 41% (sunitinib arm) and 56% (pazopanib arm) (72). However, the scheme of nivolumab plus sunitinib or pazopanib were not recommended due to the high incidence (82 and 70%) of grade 3–4 TRAEs. In 2018, Choueiri et al. (68) reported the efficacy of avelumab and axitinib combination therapy in treatment-naive patients with advanced clear cell RCC (NCT02493751). During nearly 1 year of follow-up, the OS in the combination therapy was 58% (32/55), while the rate of SD was 20% (11/55) (68). In this study, it was observed that the diverse expression levels of PD-L1 did not significantly affect the efficacy of treatment. Motivated by the preliminarily encouraging results of NCT02493751, a phase III clinical trial (NCT02684006) (JAVELIN Renal 101) aiming to compare the efficacy of avelumab plus axitinib vs. monotherapy with sunitinib in advanced clear cell RCC was sequentially conducted. Median PFS in patients with PD-L1+ tumors receiving avelumab plus axitinib was not estimable (8.1 months, not estimable), while that noted in patients receiving sunitinib was 11.2 months; in patients irrespective of PD-L1 expression, the median PFS was 16.6 months vs. 11.2 months, respectively. The ORR was 60.6 vs. 17.6%, respectively. Common TRAEs (grade ≥ 3) in each group were hand-foot syndrome (9 vs. 9%, respectively), hypertension (30 vs. 18%, respectively), and platelet count decreased (0 vs. 32%, respectively) (69). Given the bracing results of JAVELIN Renal 101 study, avelumab combined with axitinib was approved by FDA. In a phase III KEYNOTE-426 study investigating pembrolizumab plus axitinib vs. sunitinib as first-line therapy for advanced RCC, the median PFS and ORR in the pembrolizumab plus axitinib arm vs. the sunitinib arm were 15.1 months vs. 11.1 months and 59.3 vs. 35.7%, respectively. Grade ≥ 3 AEs occurred in 75.8% of patients in the pembrolizumab plus axitinib arm and in 70.6% of patients in the sunitinib arm (71). Based on this outcome, first-line therapy of pembrolizumab plus axitinib was approved for advanced RCC. Furthermore, the updated analysis of the phase III KEYNOTE-426 study presented that the combination continued to demonstrate superior and durable antitumor activity over sunitinib after a 27-months median follow-up and no new safety signals were observed (110). A multicenter, randomized, open-label, phase III study (NCT02811861) to compare the efficacy and safety of lenvatinib in combination with everolimus or pembrolizumab vs. sunitinib as first-line treatment in participants with advanced RCC is ongoing.

In the field of combination therapies for advanced HCC, SHR-1210 (known as camrelizumab, an anti-PD-1 antibody manufactured in China) in combination with apatinib yielded promising results: ORR of 30.8% (95% CI: 17.0–47.6) and PR rate of 50.0% (95% CI: 24.7–75.4) (60). Of note, this combination therapy offered a statistically significant advantage for patients with advanced HCC over the previous clinical trial of monotherapy with nivolumab (111). A phase Ib study assessing the combination of pembrolizumab and lenvatinib treating patients with unresectable HCC was revealed at 2020 ASCO annual meeting. Median OS was 22.0 months (95% CI: 20.4-NR), median PFS was 8.6 months (95% CI: 7.1–9.7), and ORR was 36% (95% CI: 26.6–46.2), and the safety profile was tolerable (63). Meanwhile, a real-world study about unresectable HCC in Taiwan demonstrated pembrolizumab plus lenvatinib can produce excellent ORR and DCR with tolerable safety profiles (112). In a study using an animal model of HCC, Kimura et al. (113) highlighted that lenvatinib has immunoregulation activity in mice, which contributes to its antitumor activity. This activity also enhances the antitumor activity of anti-PD-1 antibody in combination therapy (113). Currently, multiple clinical trials in different phases are underway, intending to reveal the role of combination therapy based on ICIs plus VEGFR TKIs in treating advanced HCC. For example, a large phase III trial aims to evaluate the efficacy of the combination of lenvatinib plus pembrolizumab as a first-line therapy (NCT03713593), while a phase I trial was designed to assess the efficacy of a combination of lenvatinib with nivolumab (NCT03418922).

Han et al. (58) reported a similar evolution in patients with advanced NSCLC. The first clinical trial to assess the efficacy and safety of sintilimab with anlotinib as first-line therapy has indicated a synergistic effect against advanced NSCLC. Sixteen patients (72.7%) achieved PR and six patients (27.3%) achieved SD with an ORR of 72.7% and a DCR of 100%; the 6-month PFS rate was 93.8%. Notably, five of the six patients with SD had cavities in tumors, manifesting that the combination regimen exhibits synergy. Grade ≥ 3 TRAEs occurred in six patients (27.3%) and remained manageable.

Sheng et al. (114, 115) conducted an open-label, phase Ib trial combining axitinib with toripalimab (the third approved anti-PD-1 antibody manufactured in China) in patients with metastatic mucosal melanoma. Among 29 chemotherapy-naïve patients with mucosal melanoma, the ORR was 48.3% (n = 14, 95% CI: 29.4–67.5), the median PFS was 7.5 months (95% CI: 3.7–NR) and the median OS was 20.7 months. The vast majority (97%) of patients experienced TRAEs, with mild (grade 1 or 2) TRAEs being the most common; 39.4% of patients experienced grade ≥ 3 TRAEs.

The results of a phase Ib/II study applying combination therapy of pembrolizumab and lenvatinib in patients with advanced endometrial cancer were revealed at the 2018 ASCO annual meeting (73). A total of 53 patients with advanced endometrial cancer were included in the study. The ORR was 39.6% (21/53, including three patients with complete response) and the median PFS was 7.4 months. The incidence of grade 3 TRAEs was 59%, and there was no occurrence of grade 4 TRAEs. Of note, in this study, the efficacy of the combination therapy was not associated with some common important predictive biomarkers, such as microsatellite instability and PD-L1. Moreover, a study of pembrolizumab plus lenvatinib for early-line treatment of previously treated, advanced, non high-frequency microsatellite instability (MSI-H) or mismatch-repair deficiency (dMMR) endometrial cancer patients was reported at the 2020 ASCO annual meeting (116). Patients were divided in two subgroups, the ORR was 41.3% (n = 63, 95% CI, 29.0–54.4) for subgroup 1 and 57.1% (n = 21, 95% CI, 34.0–78.2) for subgroup 2. In subgroup 1, 42 (67%) of patients were exposed to grade ≥ 3 TRAEs, serious TRAEs occurred in 18 (29%) patients and 2 (3%) patients died from TRAEs. The safety profile for subgroup 2 was generally similar to that for subgroup 1.

The REGONIVO study included 50 patients with advanced GC or CRC, with a median of three lines of previous treatment, who received regorafenib plus nivolumab (117). Accordingly, the ORR was 40%, the DCR was 88%, and the median duration of treatment was 6.1 months. In the CRC group, the general ORR and median PFS were 36% and 6.3 months, respectively; the ORR of patients with MSS CRC was 33%. All examined GC cases were of the MSS type; the ORR was 44% and the median PFS was 5.8 months. The outcome of a phase II trial assessing the efficacy and safety of regorafenib + avelumab combination in non MSI-H metastatic CRC patients has been released recently (66). The combination achieved better PFS and OS compared to regorafenib alone with historical data of in this clinical setting. In this trial, median number of previous treatment lines was 3 (range: 1–7). The median PFS and OS were 3.6 months (95% CI: 1.8–5.4) and 10.8 months (95% CI: 5.9-NR), respectively, and the safety profile was manageable. It was also reported that high infiltration by TAMs at baseline was significantly associated with adverse outcome (PFS: 1.9 vs. 3.7 months, p = 0.045; OS: 4.8 months vs. NR, p = 0.027) and increased tumor infiltration by CD8+ T cells compared to baseline was significantly associated with better PFS (p = 0.011). Besides, the efficiency of fruquintinib (a VEGFR inhibitor manufactured in China) combined with sintilimab (an anti-PD-1 antibody manufactured in China) in refractory metastatic CRC patients in China was evaluated (118). Median PFS was 108 days, whereas it seemed not resulted in a significant increase in ORR, DCR and OS. In the evaluation, patients with PFS <90 days was considered worse subgroup, and they were found have the following mutations: AMER1 (p = 0.0073), DNMT3A (p = 0.0075), ETV5 (p = 0.012), EWSR1 (p = 0.016), FANCA (p = 0.019), IKBKE (p = 0.0073), NOTCH1 (p = 0.015), STAG2 (p = 0.012), and TCF7L2 (p = 0.0073), which suggested targeting these mutational genes may be helpful to improve the efficacy.

Predictive Indicators for Combination Therapy of Anti-Angiogenic Agents and ICIs

The indication of anti-angiogenesis TKIs is mainly restricted to highly vascular tumors, such as RCC, HCC, NSCLC, endometrial cancer, and CRC (119). A barrier for the use of these TKIs is the lack of sensitive and valid biomarkers. VEGF-A121, a secreted isoform of the VEGF-A family (VEGF-A121, VEGF-A165, VEGF-A189, and VEGF-A206) (120), has been intensively studied as a measurable biomarker predicting the efficacy of VEGF targeted agents (121). Unfortunately, it failed to yield satisfactory results as a potent predictive biomarker. Measurement of the tumor vascular function through dynamic contrast-enhanced magnetic resonance imaging (122) and the baseline levels of IL-6 (123, 124) were also declared predictors of PFS and OS benefit in patients with RCC after pazopanib therapy. Other biomarkers were successively proposed, such as VEGFR-2, fibroblast growth factor 2 (FGF-2), or IL-8. However, their use has not been established in routine clinical practice (125). Recently, a cohort study indicated a positive correlation between the anti-angiogenesis-related AEs and prolonged OS (126, 127). Similarly, several investigations demonstrated that anti-angiogenesis-related hypertension can be considered a predictor of OS and PFS benefit after treatment with VEGF TKIs (128, 129). Considering the lack of a robust biomarker for routine clinical use, TRAEs may be helpful in predicting efficacy.

For ICIs, some predictive biomarkers have been strongly associated with the response to such therapy with monoclonal antibodies. These include, PD-L1 in NSCLC and advanced urothelial carcinoma patients treated with pembrolizumab (130, 131), tumor mutation burden (132), and MSI-H/dMMR in patients with pembrolizumab for unresectable or metastatic mismatch-repair deficient solid tumors (133). Multiple studies have proposed the absolute lymphocyte count and lactate dehydrogenase in peripheral blood as potential predictive biomarkers. These data suggested that an increase in absolute lymphocyte count or the levels of lactate dehydrogenase predicted more positive response of patients (134136). The KEYNOTE-086 study (137) used lymph nodes and cutaneous/subcutaneous metastatic surgical samples resected from patients with metastatic melanoma treated with ipilimumab to validate the presence of tumor-infiltrating lymphocytes. The results showed that, especially CD16+ and CD68+ cells, were associated with an affirmative response to ICIs, as well as prolonged survival. Subsequent studies including patients with NSCLC or metastatic melanoma receiving ICIs discovered that neoantigens coded by DNA with loss-of-function mutations can result in drug resistance (138140). Alterations in PD-L1 and PD-L2 copy number (141), as well as microsatellite instability/mismatch-repair deficiency (142) were identified as potential predictive biomarkers. Lately, the ratio of metabolic to morphological lesion volumes for patients with NSCLC (143) and tumor heterogeneity index for patients with metastatic melanoma (144), calculated through 2-deoxy-2-(18F)fluoro-D-glucose positron-emission tomography/computed tomography, have been utilized as imaging biomarkers for ICI therapy.

Based on the successful combination of anti-angiogenic agents with ICIs and the ongoing research, it becomes clear that the use of a single predictive biomarker regardless of cancer type or combination therapy regimen may be inappropriate (59). Wallin et al. (35) confirmed that the combination of bevacizumab and atezolizumab in mRCC promotes antigen-specific T-cell migration. Meanwhile, elevation of intra-tumoral MHC-I, Th1, and T-effector markers, and chemokines (most notably CX3CL1) was also found. Moreover, the VEGF inhibitor improves the levels of the CX3CL1 receptor CX3CR1 on periphery CD8+ T cells (145). In the IMmotion 150 and IMmotion 151 trials comparing bevacizumab + atezolizumab vs. monotherapy with sunitinib in mRCC, patients with tumors with T-effector/IFN-γ-high response or high myeloid inflammatory gene expression signatures had better PFS after treatment with the combination regimen (146, 147). Remarkably, the IMpower150 study addressed that atezolizumab + bevacizumab benefitted the EGFR or ALK wild-type patients with high expression of T-effector gene signature, which substituted the PD-L1+ populations in defining the other group for primary endpoint analysis (148).

The synergetic promotion of the intra-tumoral chemokine and its receptor in the periphery implies the presence of a lymphocyte-trafficking mechanism associated with inhibition of VEGF. In a phase I clinical trial (NCT00790010) to investigate the effect of ipilimumab plus bevacizumab in patients with metastatic melanoma, patients receiving the combination regimen showed a great advantage in prognosis (median OS, combination therapy vs. ipilimumab monotherapy: 25.1 vs. 10.1 months, respectively) (59, 149). In addition, conspicuous upregulation of CD31, E-selectin, VCAM-1, and other adhesion molecules on intra-tumoral endothelia cells were recorded (150). In a clinical trial investigating the combination therapy of camrelizumab plus apatinib, the efficacy in patients with GC/esophagogastric junction cancer was unsatisfactory, although the therapeutic effect in patients with HCC was encouraging. We can presume that the discrepant consequences among these different types of cancers may be attributed to tumor immunogenicity (60). Interestingly, in numerous studies, elevation in PD-L1 expression is considered a consequence of hypoxia induced by anti-angiogenic treatment (151) or independent of hypoxia or hypoxia-inducible factor 1α (HIF1α) (152, 153). This implies that the detection of PD-L1 expression is not applicable for prediction during treatment with this combination therapy. The JAVELIN Renal 101 study demonstrated that the PD-L1 expression levels cannot distinguish whether the combination therapy benefits PFS, while the high levels of intratumoral CD8+ T cells were strongly associated with better efficacy. Notably, 26 gene profiles, including immune-related genes, may be potential biomarkers for this combination (69).

In summary, numerous predictive biomarkers with diverse functions have been studied in anti-angiogenesis and immune checkpoint blockade, respectively. However, multiple sensitive and efficient predictors for anti-angiogenic agents in combination with ICIs are currently being investigated, where both cancer type and combination therapy regimen should be taken into consideration. As the authors are concerned, it seems rare difficult to determine a common indicator applied to several kinds of cancer, probably owing to different tumor immunogenicity resulting in distinct response to various medicines. Another reason is assumed to be the objective lack of relevant clinical trials. Since this combination therapy is emerging and the antibodies/TKIs are rapidly developing, the amount of certain trials is increasing at a low baseline and the data of detecting biomarkers is insufficient. Thus far, no appropriate predictive biomarker has been identified and clinical trials need accumulate more.

Safety of Combination Therapy of Anti-Angiogenic Agents and ICIs

Undoubtedly, both types of therapy will result in complicated biological responses. This complexity was further enhanced since the development of the combination strategy, suggesting that an increased risk of toxicities may ensue. In a systematic review (154), it was clarified that the risk of cardiovascular events, hypertension, arterial thromboembolism, and proteinuria associated with anti-angiogenic agents was high. Meanwhile, immune-related AEs, such as autoimmune colitis (155), immune-related pneumonitis (156), and immune-related dermatitis (157) are relatively frequent symptoms. According to previous studies, toxicities (both anti-angiogenesis-related and immune-related AEs) have been simultaneously or, respectively, observed during treatment in the majority of cases. The synergistic effects of combination treatment are affirmative. However, theoretically, the frequencies and degrees of the two aforementioned toxicities may be elevated accordingly (158). In a former study combining pazopanib and nivolumab in the treatment of mRCC, the addition of nivolumab enhanced the pazopanib-related unpredictable elevation of transaminases (159). In contrast, based on the clinical data available thus far, there is no appearance of novel anti-angiogenesis-related or immune-related toxicity, and the toxicity profile of the regimen remains tolerable (with only the spectrum of TRAEs expanding). The evaluation of the safety of ICIs in combination with anti-angiogenic agents demands consideration of both the tumor type and position, requiring further investigation. Reports have shown that treatment with ICIs increases the risk of edema in brain parenchyma for patients with primary brain tumors and metastatic encephaloma, and my even result in death (160, 161). Nevertheless, anti-VEGF agents are reported to decrease the risk of glioblastoma-associated brain edema in both mice and patients (162, 163), offering promise for the combination of anti-VEGF therapy and ICIs in the treatment of glioblastoma and possibly brain metastases. In breast cancer models, a vascular normalization effect induced by ICIs was observed (34), contrasting to the severe cerebrovascular events noted in former cases. Toxicities caused by ICIs can often resolve after discontinuing or reducing the treatment doses (155). Considering that vascular normalization due to the anti-angiogenic agents can improve the delivery of therapeutic agents to tumors (164), the proposed combination strategy may not require large doses of ICIs to maintain its immunostimulatory effect and simultaneously reduce the risk of immune-related AEs (2). In the CheckMate 016 study, higher frequencies of high-grade (3 or 4) TRAEs were reported with combination therapy than monotherapy with nivolumab, sunitinib, or pazopanib. In addition, the frequencies of AEs resulting in treatment discontinuation were higher with the combination regimen than monotherapy with nivolumab, sunitinib, or pazopanib. Notably, responses to nivolumab combined with sunitinib or pazopanib and the OS outcome were encouraging. When compared with other regimens of combination therapy, the discoveries of the CheckMate 016 study suggest that the safety and efficacy of different regimens based on ICIs combined with anti-angiogenic agents may depend on thoughtful selection of the anti-angiogenic component and dose. Of note, the accurate mechanism of TRAEs occurrence during this treatment (anti-angiogenesis-related or immune-related) can differ owing to individual differences. For instance, both drugs may lead to thrombocytopenia, which may be a consequence of anti-angiogenic agent-induced thrombotic microangiopathy and atypical hemolytic uremic syndrome or ICIs-induced overactivation of T cells (165167). According to those reports, the treatment-related thrombocytopenia diminished with the discontinuation of agents or intravenous monoclonal antibodies (e.g., eculizumab) from the perspective of anti-angiogenesis therapy, or with the application of corticosteroids or immunosuppressive drugs from the perspective of ICIs therapy. Hence, clinicians are requested to distinguish the pathogenesis for adopting optimal countermeasures.

With ICIs attracting more attention in the treatment of patients with HCC, several clinical trials combining ICIs with anti-angiogenic agents are currently recruiting patients with HCC worldwide. For example, a phase III, randomized, active-controlled trial aiming to assess the safety and efficacy of lenvatinib in combination with pembrolizumab compared with lenvatinib plus placebo as first-line therapy of advanced HCC (NCT03713593) is ongoing. Moreover, a phase II trial evaluating sorafenib combined with nivolumab as first-line therapy is also in the recruitment phase (NCT03439891).

Overall, the toxicity of anti-angiogenesis therapy combined with ICIs is not severe, and lower than that of ICIs combined with chemotherapy. Most existing clinical trials show tolerable or manageable safety profile. In authors' opinion, the doses of ICIs or anti-angiogenic agents can be slightly inadequate to reduce the degree and frequency of TRAEs, and the administration time of each agent during the treatment is worth considering to achieve better efficacy. However, physicians are required to carefully identify the source of the TRAEs associated with this combination to precisely determine the corresponding countermeasures.

Conclusion

Although immunotherapy with ICIs in the treatment of cancer is undoubtedly one of the most promising strategies, serious challenges remain (e.g., low response rate, AEs, and acquired resistance). Studies have revealed that anti-angiogenesis and ICIs therapy can reprogram the tumor milieu from an immunosuppressive to an immune permissive microenvironment, and mutually enhance the antitumor effect. Firstly, deeper comprehension of the impact anti-angiogenic agents and immunotherapy have on the immune system of patients with cancer, and the mechanism of mutual enhancement is warranted. Secondly, diverse combination therapy regimens involving ICIs (PD-1, PD-L1, and CTLA-4 inhibitors) combined with anti-VEGF antibody, anti-VEGFR antibody, or VEGFR TKIs have shown more clinical benefit than ICIs or anti-angiogenic monotherapy and homogeneous combination therapy, providing a hopeful solution to the dilemma of immunotherapy with ICIs. Nevertheless, the timing or the sequence of each agent in the combination and the optimal regimen are currently unclear, while the optimal dose of each agent remains unknown. Thirdly, owing to the vascular normalization caused by anti-angiogenic agents, the delivery of therapeutic agents to tumors is improved, thereby reducing the doses of ICIs and decreasing the risk of immune-related AEs. Despite these exciting achievements, several safety problems urgently need to be resolved. Finally, the lack of sensitive and efficient predictive biomarkers for anti-angiogenic agents in combination with ICIs impedes the adjustment of the scheme on certain conditions. On the other hand, the evaluation of either safety or prognosis should take both the type of cancer and the selection of drugs into sensible consideration. This may lead to a low efficiency clinical decision and demand for a number of relevant studies in the future.

In conclusion, anti-angiogenic agents in combination with ICIs have demonstrated promising outcome in certain types of carcinoma. However, further intensive studies are warranted to resolve the above problems. The effectiveness, toxicity, and tolerability of the combination therapy need to be optimized by determining the appropriate dose and sequence. Anti-angiogenic agents combined with ICIs are more suitable for patients with advanced malignant tumors who are not sensitive to, willing, or able to tolerate chemotherapy. This therapy has been proved competent for the treatment of HCC and RCC, but further research is still warranted to claim that the treatment of cancer has reached the chemotherapy-free era. In the future, basic researches investigating the mechanism of the positive feedback loop between anti-angiogenic agents and ICIs should be conducted in a more detailed and interconnected manner to help develop new formulation and design clinical studies. Meanwhile, not only the efficient of certain regimen is evaluated, biomarkers are supposed to be detected synchronously in more clinical trials. With increasing valid evidence, physicians are tending able to decide better combination and administration time and sequence, enhancing the efficacy and reducing the toxicities. Optimizing this new strategy into the most standard therapy requires a long distance.

Author Contributions

BZha and JW provided access to the data and writing materials. YS and YF contributed to writing this manuscript. All authors made substantial contributions, read, and approved the final manuscript.

Funding

This research was funded by the National Nature Science Foundation of China (Nos. 81272619 and 81572875), Natural Science Foundation of Hubei Province (2019CFB635), Health Commission of Hubei Province (WJ2019M194), CSCO-Hengrui Cancer Research Foundation (Y-HR2018-328), and CSCO-BMS Cancer Immunotherapy Research Foundation (Y-BMS2019-003).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

1. Joshi S, Durden DL. Combinatorial approach to improve cancer immunotherapy: rational drug design strategy to simultaneously hit multiple targets to kill tumor cells and to activate the immune system. J Oncol. (2019) 2019:5245034. doi: 10.1155/2019/5245034

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Yi M, Jiao D, Qin S, Chu Q, Wu K, Li A. Synergistic effect of immune checkpoint blockade and anti-angiogenesis in cancer treatment. Mol Cancer. (2019) 18:60. doi: 10.1186/s12943-019-0974-6

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Ghahremanloo A, Soltani A, Modaresi SMS, Hashemy SI. Recent advances in the clinical development of immune checkpoint blockade therapy. Cell Oncol. (2019) 42:609–26. doi: 10.1007/s13402-019-00456-w

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Fucà G, de Braud F, Di Nicola M. Immunotherapy-based combinations: an update. Curr Opin Oncol. (2018) 30:345–1. doi: 10.1097/CCO.0000000000000466

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Kazerounian S, Lawler J. Integration of pro-and anti-angiogenic signals by endothelial cells. J Cell Commun Signal. (2018) 12:171–9. doi: 10.1007/s12079-017-0433-3

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Georganaki M, van Hooren L, Dimberg A. Vascular targeting to increase the efficiency of immune checkpoint blockade in cancer. Front Immunol. (2018) 21:3081. doi: 10.3389/fimmu.2018.03081

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Lupo G, Caporarello N, Olivieri M, Cristaldi M, Motta C, Bramanti V. Anti-angiogenic therapy in cancer: downsides and new pivots for precision medicine. Front Pharmacol. (2017) 6:519. doi: 10.3389/fphar.2016.00519

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Chen DS, Mellman I. Oncology meets immunology: the cancer-immunity cycle. Immunity. (2013) 39:1–10. doi: 10.1016/j.immuni.2013.07.012

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Yang J, Yan J, Liu B. Targeting VEGF/VEGFR to modulate antitumor immunity. Front Immunol. (2018) 9:978. doi: 10.3389/fimmu.2018.00978

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Galati D, Zanotta S, Canora A, Cristaldi M, Motta C, Bramanti V. Severe depletion of peripheral blood dendritic cell subsets in obstructive sleep apnea patients: a new link with cancer? Cytokine. (2020) 125:154831. doi: 10.1016/j.cyto.2019.154831

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Aggarwal V, Tuli HS, Varol A, Thakral F, Yerer MB, Sak K. Role of reactive oxygen species in cancer progression: molecular mechanisms and recent advancements. Biomolecules. (2019) 9:E735. doi: 10.3390/biom9110735

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Malo CS, Khadka RH, Ayasoufi K, Jin F, AbouChehade JE, Hansen MJ. Immunomodulation mediated by anti-angiogenic therapy improves CD8 T cell immunity against experimental glioma. Front Oncol. (2018) 8:320. doi: 10.3389/fonc.2018.00320

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Long J, Hu Z, Xue H, Wang Y, Chen J, Tang F, et al. Vascular endothelial growth factor (VEGF) impairs the motility and immune function of human mature dendritic cells through the VEGF receptor 2-RhoA-cofilin1 pathway. Cancer Sci. (2019) 110:2357–67. doi: 10.1111/cas.14091

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Voron T, Colussi O, Marcheteau E, Pernot S, Nizard M, Pointet al, et al. VEGF-A modulates expression of inhibitory checkpoints on CD8+ T cells in tumors. J Exp Med. (2015) 212:139–48. doi: 10.1084/jem.20140559

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Mulligan JK, Day TA, Gillespie MB, Rosenzweig SA, Young MR. Secretion of vascular endothelial growth factor by oral squamous cell carcinoma cells skews endothelial cells to suppress T-cell functions. Hum Immunol. (2009) 70:375–82. doi: 10.1016/j.humimm.2009.01.014

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Vrecko S, Guenat D, Mercier-Letondal P, Faucheu H, Dosset M, Royer B, et al. Personalized identification of tumor-associated immunogenic neoepitopes in hepatocellular carcinoma in complete remission after sorafenib treatment. Oncotarget. (2018) 9:35394–407. doi: 10.18632/oncotarget.26247

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Katsuta E, Qi Q, Peng X, Hochwald SN, Yan L, Takabe K. Pancreatic adenocarcinomas with mature blood vessels have better overall survival. Sci Rep. (2019) 9:1310. doi: 10.1038/s41598-018-37909-5

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Shrimali RK, Yu Z, Theoret MR, Chinnasamy D, Restifo NP, Rosenberg SA. Antiangiogenic agents can increase lymphocyte infiltration into tumor and enhance the effectiveness of adoptive immunotherapy of cancer. Cancer Res. (2010) 70:6171–80. doi: 10.1158/0008-5472.CAN-10-0153

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Liu C, Peng W, Xu C, Lou Y, Zhang M, Wargo JA, et al. BRAF inhibition increases tumor infiltration by T cells and enhances the antitumor activity of adoptive immunotherapy in mice. Clin Cancer Res. (2013) 19:393–403. doi: 10.1158/1078-0432.CCR-12-1626

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Dirkx AE, oude Egbrink MG, Castermans K, van der Schaft DW, Thijssen VL, Dings RP, et al. Anti-angiogenesis therapy can overcome endothelial cell anergy and promote leukocyte-endothelium interactions and infiltration in tumors. FASEB J. (2006) 20:621–30. doi: 10.1096/fj.05-4493com

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Melani C, Stoppacciaro A, Foroni C, Felicetti F, Caré A, Colombo MP. Angiopoietin decoy secreted at tumor site impairs tumor growth and metastases by inducing local inflammation and altering neoangiogenesis. Cancer Immunol Immunother. (2004) 53:600–8. doi: 10.1007/s00262-004-0500-5

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Fricke I, Mirza N, Dupont J, Lockhart C, Jackson A, Lee JH. Vascular endothelial growth factor-trap overcomes defects in dendritic cell differentiation but does not improve antigen-specific immune responses. Clin Cancer Res. (2007) 13:4840–8. doi: 10.1158/1078-0432.CCR-07-0409

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Mauge L, Terme M, Tartour E, Helley D. Control of the adaptive immune response by tumor vasculature. Front Oncol. (2014) 4:61. doi: 10.3389/fonc.2014.00061

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Gehad AE, Lichtman MK, Schmults CD, Teague JE, Calarese AW, Jiang Y. Nitric oxide-producing myeloid-derived suppressor cells inhibit vascular E-selectin expression in human squamous cell carcinomas. J Invest Dermatol. (2012) 132:2642–51. doi: 10.1038/jid.2012.190

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Delfortrie S, Pinte S, Mattot V, Samson C, Villain G, Caetano B, et al. Egfl7 promotes tumor escape from immunity by repressing endothelial cell activation. Cancer Res. (2011) 71:7176–86. doi: 10.1158/0008-5472.CAN-11-1301

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Szukiewicz D, Kochanowski J, Pyzlak M, Szewczyk G, Stangret A, Mittal TK. Fractalkine (CX3CL1) and its receptor CX3CR1 may contribute to increased angiogenesis in diabetic placenta. Mediators Inflamm. (2013) 2013:437576. doi: 10.1155/2013/437576

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Liu Y, Cao X. Immunosuppressive cells in tumor immune escape and metastasis. J Mol Med (Berl). (2016) 94:509–22. doi: 10.1007/s00109-015-1376-x

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Missiaen R, Mazzone M, Bergers G. The reciprocal function and regulation of tumor vessels and immune cells offers new therapeutic opportunities in cancer. Semin Cancer Biol. (2018) 52:107–16. doi: 10.1016/j.semcancer.2018.06.002

PubMed Abstract | CrossRef Full Text | Google Scholar

29. De Sanctis F, Ugel S, Facciponte J, Facciabene A. The dark side of tumor-associated endothelial cells. Semin Immunol. (2018) 35:35–47. doi: 10.1016/j.smim.2018.02.002

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Kitamura T, Qian BZ, Pollard JW. Immune cell promotion of metastasis. Nat Rev Immunol. (2015) 15:73–86. doi: 10.1038/nri3789

PubMed Abstract | CrossRef Full Text | Google Scholar

31. McAllister SS, Weinberg RA. The tumor-induced systemic environment as a critical regulator of cancer progression and metastasis. Nat Cell Biol. (2014) 16:717–27. doi: 10.1038/ncb3015

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Vesely MD, Kershaw MH, Schreiber RD, Smyth MJ. Natural innate and adaptive immunity to cancer. Annu Rev Immunol. (2011) 29:235–71. doi: 10.1146/annurev-immunol-031210-101324

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Marvel D, Gabrilovich DI. Myeloid-derived suppressor cells in the tumor microenvironment: expect the unexpected. J Clin Invest. (2015) 125:3356–64. doi: 10.1172/JCI80005

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Tian L, Goldstein A, Wang H, Ching Lo H, Sun Kim I, Welte T, et al. Mutual regulation of tumor vessel normalization and immunostimulatory reprogramming. Nature. (2017) 544:250–4. doi: 10.1038/nature21724

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Wallin JJ, Bendell JC, Funke R, Sznol M, Korski K, Jones S, et al. Atezolizumab in combination with bevacizumab enhances antigen-specific T-cell migration in metastatic renal cell carcinoma. Nat Commun. (2016) 7:12624. doi: 10.1038/ncomms12624

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Martin del Campo SE, Levine KM, Mundy-Bosse BL, Grignol VP, Fairchild ET, Campbell AR, et al. The Raf kinase inhibitor sorafenib inhibits JAK-STAT signal transduction in human immune cells. J Immunol. (2015) 195:1995–2005. doi: 10.4049/jimmunol.1400084

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Kanzler I, Tuchscheerer N, Steffens G, Simsekyilmaz S, Konschalla S, Kroh A, et al. Differential roles of angiogenic chemokines in endothelial progenitor cell-induced angiogenesis. Basic Res Cardiol. (2013) 108:310. doi: 10.1007/s00395-012-0310-4

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Roland CL, Lynn KD, Toombs JE, Dineen SP, Udugamasooriya DG, Brekken RA. Cytokine levels correlate with immune cell infiltration after anti-VEGF therapy in preclinical mouse models of breast cancer. PLoS ONE. (2009) 4:e7669. doi: 10.1371/journal.pone.0007669

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Huang Y, Yuan J, Righi E, Kamoun WS, Ancukiewicz M, Nezivar J, et al. Vascular normalizing doses of antiangiogenic treatment reprogram the immunosuppressive tumor microenvironment and enhance immunotherapy. Proc Natl Acad Sci USA. (2012) 109:17561–6. doi: 10.1073/pnas.1215397109

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Huang Y, Chen X, Dikov MM, Novitskiy SV, Mosse CA, Yang L, et al. Distinct roles of VEGFR-1 and VEGFR-2 in the aberrant hematopoiesis associated with elevated levels of VEGF. Blood. (2007) 110:624–31. doi: 10.1182/blood-2007-01-065714

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Zheng X, Fang Z, Liu X, Deng S, Zhou P, Wang X, et al. Increased vessel perfusion predicts the efficacy of immune checkpoint blockade. J Clin Invest. (2018) 128:2104–15. doi: 10.1172/JCI96582

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Huang Y, Kim BYS, Chan CK, Hahn SM, Weissman IL, Jiang W. Improving immune-vascular crosstalk for cancer immunotherapy. Nat Rev Immunol. (2018) 18:195–203. doi: 10.1038/nri.2017.145

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Nagarsheth N, Wicha MS, Zou W. Chemokines in the cancer microenvironment and their relevance in cancer immunotherapy. Nat Rev Immunol. (2017) 17:559–72. doi: 10.1038/nri.2017.49

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Carretero R, Sektioglu IM, Garbi N, Salgado OC, Beckhove P, Hämmerling GJ. Eosinophils orchestrate cancer rejection by normalizing tumor vessels and enhancing infiltration of CD8(+) T cells. Nat Immunol. (2015) 16:609–17. doi: 10.1038/ni.3159

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Zheng X, Zhang N, Qian L, Wang X, Fan P, Kuai J, et al. CTLA4 blockade promotes vessel normalization in breast tumors via the accumulation of eosinophils. Int J Cancer. (2020) 146:1730–40. doi: 10.1002/ijc.32829

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Talmadge JE, Gabrilovich DI. History of myeloid-derived suppressor cells. Nat Rev Cancer. (2013) 13:739–52. doi: 10.1038/nrc3581

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Tripathi C, Tewari BN, Kanchan RK, Baghel KS, Nautiyal N, Shrivastava R, et al. Macrophages are recruited to hypoxic tumor areas and acquire a pro-angiogenic M2-polarized phenotype via hypoxic cancer cell derived cytokines Oncostatin M and Eotaxin. Oncotarget. (2014) 5:5350–68. doi: 10.18632/oncotarget.2110

PubMed Abstract | CrossRef Full Text | Google Scholar

48. van Beijnum JR, Nowak-Sliwinska P, Huijbers EJ, Thijssen VL, Griffioen AW. The great escape; the hallmarks of resistance to antiangiogenic therapy. Pharmacol Rev. (2015) 67:441–61. doi: 10.1124/pr.114.010215

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Zhong C, Qu X, Tan M, Meng YG, Ferrara N. Characterization and regulation of bv8 in human blood cells. Clin Cancer Res. (2009) 15:2675–84. doi: 10.1158/1078-0432.CCR-08-1954

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Ramjiawan RR, Griffioen AW, Duda DG. Anti-angiogenesis for cancer revisited: is there a role for combinations with immunotherapy? Angiogenesis. (2017) 20:185–204. doi: 10.1007/s10456-017-9552-y

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Kaneda MM, Messer KS, Ralainirina N, Li H, Leem CJ, Gorjestani S, et al. PI3Kγ is a molecular switch that controls immune suppression. Nature. (2016) 539:437–42. doi: 10.1038/nature19834

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Rivera LB, Meyronet D, Hervieu V, Frederick MJ, Bergsland E, Bergers G. Intratumoral myeloid cells regulate responsiveness and resistance to antiangiogenic therapy. Cell Rep. (2015) 11:577–91. doi: 10.1016/j.celrep.2015.03.055

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Stylianopoulosa T, Jain RK. Combining two strategies to improve perfusion and drug delivery in solid tumors. Proc Natl Acad Sci USA. (2013) 110:18632–7. doi: 10.1073/pnas.1318415110

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Reck M, Mok TSK, Nishio M, Jotte RM, Cappuzzo F, Orlandi F, et al. Atezolizumab plus bevacizumab and chemotherapy in non-small-cell lung cancer (IMpower150): key subgroup analyses of patients with EGFR mutations or baseline liver metastases in a randomised, open-label phase 3 trial. Lancet Respir Med. (2019) 7:387–401. doi: 10.1016/S2213-2600(19)30084-0

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Gadgeel SM, Stevenson JP, Langer CJ, Gandhi L, Borghaei H, Patnaik A, et al. Pembrolizumab and platinum-based chemotherapy as first-line therapy for advanced non-small-cell lung cancer: phase 1 cohorts from the KEYNOTE-021 study. Lung Cancer. (2018) 125:273–81. doi: 10.1016/j.lungcan.2018.08.019

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Rizvi NA, Antonia SJ, Shepherd FA, Chow LQ, Goldman J, Shen Y, et al. Nivolumab (anti-PD-1; BMS-936558, ONO-4538) maintenance as monotherapy or in combination with bevacizumab for NSCLC previously treated with chemotherapy. Int J Radiat Oncol Biol Phys. (2014) 90:32. doi: 10.1016/j.ijrobp.2014.08.206

CrossRef Full Text | Google Scholar

57. Herbst RS, Martin-Liberal J, Calvo E, Isambert N, Bendell J, Cassier P, et al. Previously treated advanced NSCLC cohort from a multi-disease phase 1 study of ramucirumab (R) plus pembrolizumab (P): efficacy and safety data. Ann Oncol. (2017) 28:119. doi: 10.1093/annonc/mdx091.010

CrossRef Full Text | Google Scholar

58. Han B, Chu T, Zhong R, Zhong H, Zhang B, Zhang W, et al. Efficacy and safety of sintilimab with anlotinib as first-line therapy for advanced non-small cell lung cancer (NSCLC). J Thorac Oncol. (2019) 14:129. doi: 10.1016/j.jtho.2019.08.269

CrossRef Full Text | Google Scholar

59. Hodi FS, Lawrence D, Lezcano C, Wu X, Zhou J, Sasada T, et al. Bevacizumab plus ipilimumab in patients with metastatic melanoma. Cancer Immunol Res. (2014) 2:632–42. doi: 10.1158/2326-6066.CIR-14-0053

CrossRef Full Text | Google Scholar

60. Xu J, Zhang Y, Jia R, Yue C, Chang L, Liu R, et al. Anti-PD-1 antibody SHR-1210 Combined with apatinib for advanced hepatocellular carcinoma, gastric, or esophagogastric junction cancer: an open-label, dose escalation and expansion study. Clin Cancer Res. (2019) 25:515–23. doi: 10.1158/1078-0432.CCR-18-2484

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Stein S, Pishvaian MJ, Lee MS, Lee KH, Hernandez S, Kwan A, et al. Safety and clinical activity of 1L atezolizumab + bevacizumab in a phase Ib study in hepatocellular carcinoma (HCC). J Clin Oncol. (2018) 36:4074. doi: 10.1200/JCO.2018.36.15_suppl.4074

CrossRef Full Text | Google Scholar

62. Cheng AL, Qin S, Ikeda M, Galle P, Ducreux M, Zhu A, et al. IMbrave150: efficacy and safety results from a ph III study evaluating atezolizumab (atezo) + bevacizumab (bev) vs sorafenib (Sor) as first treatment (tx) for patients (pts) with unresectable hepatocellular carcinoma (HCC). Ann Oncol. (2019) 30:186–7. doi: 10.1093/annonc/mdz446.002

CrossRef Full Text | Google Scholar

63. Zhu AX, Finn RS, Ikeda M, Sung MW, Baron AD, Kudo M, et al. A phase Ib study of lenvatinib (LEN) plus pembrolizumab (PEMBRO) in unresectable hepatocellular carcinoma (uHCC). J Clin Oncol. (2020) 38:4519. doi: 10.1200/JCO.2020.38.15_suppl.4519

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Chau I, Bendell JC, Calvo E, Santana-Davila R, Ahnert JR, Penel N, et al. Interim safety and clinical activity in patients (pts) with advanced gastric or gastroesophageal junction (G/GEJ) adenocarcinoma from a multicohort phase 1 study of ramucirumab (R) plus pembrolizumab (P). J Clin Oncol. (2017) 35:102. doi: 10.1200/JCO.2017.35.4_suppl.102

CrossRef Full Text | Google Scholar

65. Bang YJ, Golan T, Lin CC, Kang YK, Wainberg ZA, Wasserstrom H, et al. Interim safety and clinical activity in patients (pts) with locally advanced and unresectable or metastatic gastric or gastroesophageal junction (G/GEJ) adenocarcinoma from a multicohort phase I study of ramucirumab (R) plus durvalumab (D). J Clin Oncol. (2018) 36:92. doi: 10.1200/JCO.2018.36.4_suppl.92

CrossRef Full Text | Google Scholar

66. Cousin S, Bellera CA, Guégan JP, Gomez-Roca CA, Metges JP, Adenis A, et al. REGOMUNE: a phase II study of regorafenib plus avelumab in solid tumors—Results of the non-MSI-H metastatic colorectal cancer (mCRC) cohort. J Clin Oncol. (2020) 38:4019. doi: 10.1200/JCO.2020.38.15_suppl.4019

CrossRef Full Text | Google Scholar

67. Jonasch E, Slack RS, Geynisman DM, Hasanov E, Milowsky MI, Rathmell WK, et al. Phase II study of two weeks on, one week off sunitinib scheduling in patients with metastatic renal cell carcinoma. J Clin Oncol. (2018) 36:1588–93. doi: 10.1200/JCO.2017.77.1485

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Choueiri TK, Larkin J, Oya M, Thistlethwaite F, Martignoni M, Nathan P, et al. Preliminary results for avelumab plus axitinib as first-line therapy in patients with advanced clear-cell renal-cell carcinoma (JAVELIN Renal 100): an open-label, dose-finding and dose-expansion, phase 1b trial. Lancet Oncol. (2018) 19:451–60. doi: 10.1016/S1470-2045(18)30107-4

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Uemura M, Tomita Y, Miyake H, Hatakeyama S, Kanayama HO, Numakura K, et al. Avelumab plus axitinib vs sunitinib for advanced renal cell carcinoma: Japanese subgroup analysis from JAVELIN Renal 101. Cancer Sci. (2019) 111:907–23. doi: 10.1111/cas.14294

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Lee CH, Makker V, Rasco DW, Taylor MH, Stepan DE, Shumaker RC. Lenvatinib plus pembrolizumab in patients with renal cell carcinoma: updated results. J Clin Oncol. (2018) 36:4560. doi: 10.1200/JCO.2018.36.15_suppl.4560

CrossRef Full Text | Google Scholar

71. Rini BI, Plimack ER, Stus V, Gafanov R, Hawkins R, Nosov D, et al. Pembrolizumab plus axitinib versus sunitinib for advanced renal-cell carcinoma. N Engl J Med. (2019) 380:1116–27. doi: 10.1056/NEJMoa1816714

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Amin A, Plimack ER, Ernstoff MS, Lewis LD, Bauer TM, McDermott DF, et al. Safety and efficacy of nivolumab in combination with sunitinib or pazopanib in advanced or metastatic renal cell carcinoma: the CheckMate 016 study. J Immunother Cancer. (2018) 6:109. doi: 10.1186/s40425-018-0420-0

CrossRef Full Text | Google Scholar

73. Makker V, Rasco D, Vogelzang NJ, Brose MS, Cohn AL, Mier J, et al. Lenvatinib plus pembrolizumab in patients with advanced endometrial cancer: an interim analysis of a multicentre, open-label, single-arm, phase 2 trial. Lancet Oncol. (2019) 20:711–8. doi: 10.1016/S1470-2045(19)30020-8

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Hurwitz H, Fehrenbacher L, Novotny W, Cartwright T, Hainsworth J, Heim W, et al. Bevacizumab plus irinotecan, fluorouracil, and leucovorin for metastatic colorectal cancer. N Engl J Med. (2004) 350:2335–42. doi: 10.1056/NEJMoa032691

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Saltz LB, Clarke S, Diaz-Rubio E, Scheithauer W, Figer A, Wong R, et al. Bevacizumab in combination with oxaliplatin-based chemotherapy as firstline therapy in metastatic colorectal cancer: a randomized phase III study. J Clin Oncol. (2008) 26:2013–19. doi: 10.1200/JCO.2007.14.9930

CrossRef Full Text | Google Scholar

76. Bennouna J, Sastre J, Arnold D, Österlund P, Greil R, Van Cutsem E, et al. Continuation of bevacizumab after first progression in metastatic colorectal cancer (ML18147): a randomised phase 3 trial. Lancet Oncol. (2013) 14:29–37. doi: 10.1016/S1470-2045(12)70477-1

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Goldberg RM, Sargent DJ, Morton RF, Fuchs CS, Ramanathan RK, Williamson SK. A randomized controlled trial of fluorouracil plus leucovorin, irinotecan, and oxaliplatin combinations in patients with previously untreated metastatic colorectal cancer. J Clin Oncol. (2004) 22:23–30. doi: 10.1200/JCO.2004.09.046

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Cunningham D, Lang I, Marcuello E, Lorusso V, Ocvirk J, Shin DB, et al. Bevacizumab plus capecitabine versus capecitabine alone in elderly patients with previously untreated metastatic colorectal cancer (avex): an open-label, randomised phase 3 trial. Lancet Oncol. (2013) 14:1077–85. doi: 10.1016/S1470-2045(13)70154-2

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Khakoo S, Chau I, Pedley I, Ellis R, Steward W, Harrison M, et al. ACORN: Observational study of bevacizumab in combination with first-line chemotherapy for treatment of metastatic colorectal cancer in the UK. Clin Colorectal Cancer. (2019) 18:280–91. doi: 10.1016/j.clcc.2019.07.003

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Petrelli F, Borgonovo K, Cabiddu M, Ghilardi M, Lonati V, Maspero F, et al. FOLFIRI–bevacizumab as first-line chemotherapy in 3500 patients with advanced colorectal cancer: a pooled analysis of 29 published trials. Clin Colorectal Cancer. (2013) 12:145–51. doi: 10.1016/j.clcc.2013.04.006

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Macedo LT, da Costa Lima AB, Sasse AD. Addition of bevacizumab to first-line chemotherapy in advanced colorectal cancer: a systematic review and meta-analysis, with emphasis on chemotherapy subgroups. BMC Cancer. (2012) 12:89. doi: 10.1186/1471-2407-12-89

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Meyerhardt JA, Li L, Sanoff HK, Carpenter W, Schrag D. Effectiveness of bevacizumab with first-line combination chemotherapy for Medicare patients with stage IV colorectal cancer. J Clin Oncol. (2012) 30:608–15. doi: 10.1200/JCO.2011.38.9650

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Hurwitz HI, Lyman GH. Registries and randomized trials in assessing the effects of bevacizumab in colorectal cancer: is there a common theme? J Clin Oncol. (2012) 30:580–1. doi: 10.1200/JCO.2011.40.7031

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Soria JC, Mauguen A, Reck M, Sandler AB, Saijo N, Johnson DH, et al. Systematic review and meta-analysis of randomised, Phase II/III trials adding bevacizumab to platinum-based chemotherapy as first-line treatment in patients with advanced non-small-cell lung cancer. Ann Oncol. (2013) 24:20–30. doi: 10.1093/annonc/mds590

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Zhou C, Wu YL, Chen G, Liu X, Zhu Y, Lu S, et al. BEYOND: a randomized, double-blind, placebo-controlled, multicenter, phase III study of first-line carboplatin/paclitaxel plus bevacizumab or placebo in Chinese patients with advanced or recurrent nonsquamous non-small-cell lung cancer. J Clin Oncol. (2015) 33:2197–204. doi: 10.1200/JCO.2014.59.4424

CrossRef Full Text | Google Scholar

86. Ellis PM. Anti-angiogenesis in personalized therapy of lung cancer. Adv Exp Med Biol. (2016) 893:91–126. doi: 10.1007/978-3-319-24223-1_5

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Sun L, Ma JT, Zhang SL, Zou HW, Han CB. Efficacy and safety of chemotherapy or tyrosine kinase inhibitors combined with bevacizumab versus chemotherapy or tyrosine kinase inhibitors alone in the treatment of non-small cell lung cancer: a systematic review and meta-analysis. Med Oncol. (2015) 32:473. doi: 10.1007/s12032-014-0473-y

CrossRef Full Text | Google Scholar

88. Barlesi F, Scherpereel A, Gorbunova V, Gervais R, Vikström A, Chouaid C, et al. Maintenance bevacizumab-pemetrexed after first-line cisplatin-pemetrexed-bevacizumab for advanced nonsquamous nonsmall-cell lung cancer: updated survival analysis of the AVAPERL (MO22089) randomized phase III trial. Ann Oncol. (2014) 25:1044–52. doi: 10.1093/annonc/mdu098

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Patel JD, Socinski MA, Garon EB, Reynolds CH, Spigel DR, Olsen MR, et al. PointBreak: a randomized phase III study of pemetrexed plus carboplatin and bevacizumab followed by maintenance pemetrexed and bevacizumab versus paclitaxel plus carboplatin and bevacizumab followed by maintenance bevacizumab in patients with stage IIIB or IV nonsquamous non-small-cell lung cancer. J Clin Oncol. (2013) 31:4349–57. doi: 10.1200/JCO.2012.47.9626

CrossRef Full Text | Google Scholar

90. Galetta D, Cinieri S, Pisconti S, Gebbia V, Morabito A, Borsellino N, et al. Cisplatin/pemetrexed followed by maintenance pemetrexed versus carboplatin/paclitaxel/bevacizumab followed by maintenance bevacizumab in advanced nonsquamous lung cancer: the GOIM (Gruppo Oncologico Italia Meridionale) ERACLE Phase III randomized trial. Clin Lung Cancer. (2015) 16:262–73. doi: 10.1016/j.cllc.2014.12.002

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Ramalingam SS, Dahlberg SE, Langer CJ, Gray R, Belani CP, Brahmer JR, et al. Outcomes for elderly, advanced-stage non-small cell lung cancer patients treated with bevacizumab in combination with carboplatin and paclitaxel: analysis of Eastern cooperative oncology group trial 4599. J Clin Oncol. (2008) 26:60–5. doi: 10.1200/JCO.2007.13.1144

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Laskin J, Crino L, Felip E, Franke F, Gorbunova V, Groen H, et al. Safety and efficacy of first-line bevacizumab plus chemotherapy in elderly patients with advanced or recurrent nonsquamous non-small cell lung cancer: safety of avastin in lung trial (MO19390). J Thorac Oncol. (2012) 7:203–11. doi: 10.1097/JTO.0b013e3182370e02

CrossRef Full Text | Google Scholar

93. Langer CJ, Socinski MA, Patel JD, Sandler AB, Schiller JH, Leon L, et al. Isolating the role of bevacizumab in elderly patients with previously untreated nonsquamous non-small-cell lung cancer: secondary analyses of the ECOG 4599 and PointBreak trials. Am J Clin Oncol. (2016) 39:441–7. doi: 10.1097/COC.0000000000000163

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Markovic SN, Suman VJ, Javed A, Reid JM, Wall DJ, Erickson LA, et al. Sequencing ipilimumab immunotherapy before or after chemotherapy (nab-paclitaxel and bevacizumab) for the treatment of BRAFwt (BRAF wild-type) metastatic malignant melanoma: Results of a study of Academic and Community Cancer Research United (ACCRU) RU261206I. Am J Clin Oncol. (2020) 43:115–21. doi: 10.1097/COC.0000000000000644

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Ornstein MC, Wood LS, Elson P, Allman KD, Beach J, Martin A, et al. A phase II study of intermittent sunitinib in previously untreated patients with metastatic renal cell carcinoma. J Clin Oncol. (2017) 35:1764–9. doi: 10.1200/JCO.2016.71.1184

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Laguna MP. Re: A phase II study of intermittent sunitinib in previously untreated patients with metastatic renal cell carcinoma. J Urol. (2018) 199:23–5. doi: 10.1016/j.juro.2017.09.134

CrossRef Full Text | Google Scholar

97. Dudek AZ, Sica RA, Sidani A, Jha GG, Xie H, Alva AS, et al. Phase Ib study of pembrolizumab in combination with bevacizumab for the treatment of metastatic renal cell carcinoma: big ten cancer research consortium BTCRC-GU14-003. J Clin Oncol. (2016) 34:559. doi: 10.1200/jco.2016.34.2_suppl.559

CrossRef Full Text | Google Scholar

98. Jianjun G, Jose AK, Christopher GW, Matin S, Ahrar K, Jonasch E, et al. Clinical activity, immune and molecular correlates of nivolumab vs. nivolumab plus bevacizumab vs nivolumab plus ipilimumab in metastatic renal cell carcinoma. Cancer Res. (2017) 77:CT083. doi: 10.1158/1538-7445.AM2017-CT083

CrossRef Full Text | Google Scholar

99. Perdrizet K, Leighl NB. The role of angiogenesis inhibitors in the era of immune checkpoint inhibitors and targeted therapy in metastatic non-small cell lung cancer. Curr Treat Options Oncol. (2019) 20:21. doi: 10.1007/s11864-019-0617-6

PubMed Abstract | CrossRef Full Text | Google Scholar

100. Vogel A, Rimassa L, Sun HC, Abou-Alfa GK, El-Khoueiry AB, Pinato DJ, et al. Clinical value of atezolizumab + bevacizumab for first-line unresectable hepatocellular carcinoma (HCC): a network meta-analysis. J Clin Oncol. (2020) 38:4585. doi: 10.1200/JCO.2020.38.15_suppl.4585

CrossRef Full Text | Google Scholar

101. Carter T, Shaw H, Cohn-Brown D, Chester K, Mulholland P. Ipilimumab and bevacizumab in glioblastoma. Clin Oncol. (2016) 28:622–6. doi: 10.1016/j.clon.2016.04.042

CrossRef Full Text | Google Scholar

102. Herbst RS, Martin-Liberal J, Calvo E, Isambert N, Bendell JC, Cassier P, et al. Interim safety and clinical activity in patients with advanced NSCLC from a multi-cohort phase 1 study of ramucirumab (R) plus pembrolizumab (P). Ann Oncol. (2016) 27:LBA38. doi: 10.1093/annonc/mdw435.34

CrossRef Full Text | Google Scholar

103. Petrylak DP, Arkenau HT, Perez-Gracia JL, Krebs M, Santana-Davila R, Yang J. A multicohort phase I study of ramucirumab (R) plus pembrolizumab (P): interim safety and clinical activity in patients with urothelial carcinoma. J Clin Oncol. (2017) 35:349. doi: 10.1200/JCO.2017.35.6_suppl.349

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Taylor MH, Lee CH, Makker V, Rasco D, Dutcus CE, Wu J, et al. Phase IB/II trial of lenvatinib plus pembrolizumab in patients with advanced renal cell carcinoma, endometrial cancer, and other selected advanced solid tumors. J Clin Oncol. (2020) 38:1154–63. doi: 10.1200/JCO.19.01598

PubMed Abstract | CrossRef Full Text | Google Scholar

105. Atkins MB, Plimack ER, Puzanov I, Fishman MN, McDermott DF, Cho DC, et al. Axitinib in combination with pembrolizumab in patients with advanced renal cell cancer: a non-randomised, open-label, dose-finding, and dose-expansion phase 1b trial. Lancet Oncol. (2018) 19:405–15. doi: 10.1016/S1470-2045(18)30081-0

PubMed Abstract | CrossRef Full Text | Google Scholar

106. Hutson TE, Lesovoy V, Al-Shukri S, Stus VP, Lipatov ON, Bair AH, et al. Axitinib versus sorafenib as first-line therapy in patients with metastatic renal-cell carcinoma: a randomised open-label phase 3 trial. Lancet Oncol. (2013) 14:1287–94. doi: 10.1016/S1470-2045(13)70465-0

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Rini BI, Melichar B, Ueda T, Grünwald V, Fishman MN, Arranz JA, et al. Axitinib with or without dose titration for first-line metastatic renal-cell carcinoma: a randomised double-blind phase 2 trial. Lancet Oncol. (2013) 14:1233–42. doi: 10.1016/S1470-2045(13)70464-9

CrossRef Full Text | Google Scholar

108. Hammers HJ, Plimack ER, Infante JR, Rini BI, McDermott DF, Lewis LD, et al. Safety and efficacy of nivolumab in combination with ipilimumab in metastatic renal cell carcinoma: the CheckMate 016 Study. J Clin Oncol. (2017) 35:3851–8. doi: 10.1200/JCO.2016.72.1985

PubMed Abstract | CrossRef Full Text | Google Scholar

109. Gao X, McDermott DF. Ipilimumab in combination with nivolumab for the treatment of renal cell carcinoma. Expert Opin Biol Ther. (2018) 18:947–57. doi: 10.1080/14712598.2018.1513485

PubMed Abstract | CrossRef Full Text | Google Scholar

110. Plimack ER, Rini BI, Stus V, Gafanov R, Waddell T, Nosov D, et al. Pembrolizumab plus axitinib versus sunitinib as first-line therapy for advanced renal cell carcinoma (RCC): Updated analysis of KEYNOTE-426. J Clin Oncol. (2020) 38:5001. doi: 10.1200/JCO.2020.38.15_suppl.5001

CrossRef Full Text | Google Scholar

111. El-Khoueiry AB, Sangro B, Yau T, Crocenzi TS, Kudo M, Hsu C, et al. Nivolumab in patients with advanced hepatocellular carcinoma (CheckMate 040): an open-label, non-comparative, phase 1/2 dose escalation and expansion trial. Lancet. (2017) 389:2492–502. doi: 10.1016/S0140-6736(17)31046-2

PubMed Abstract | CrossRef Full Text | Google Scholar

112. Wu CJ, Hung YW, Lee PC, Lee CJ, Chen MH, Chao Y, et al. Real-world experience of pembrolizumab plus lenvatinib in unresectable hepatocellular carcinoma in Taiwan. J Clin Oncol. (2020) 38:e16627. doi: 10.1200/JCO.2020.38.15_suppl.e16627

CrossRef Full Text | Google Scholar

113. Kimura T, Kato Y, Ozawa Y, Kodama K, Ito J, Ichikawa K, et al. Immunomodulatory activity of lenvatinib contributes to antitumor activity in the Hepa1-6 hepatocellular carcinoma model. Cancer Sci. (2018) 109:3993–4002. doi: 10.1111/cas.13806

PubMed Abstract | CrossRef Full Text | Google Scholar

114. Sheng X, Yan X, Chi Z, Si L, Cui C, Tang B, et al. Axitinib in combination with toripalimab, a humanized immunoglobulin G4 monoclonal antibody against programmed cell death-1, in patients with metastatic mucosal melanoma: an open-label phase IB trial. J Clin Oncol. (2019) 37:2987–99. doi: 10.1200/JCO.19.00210

PubMed Abstract | CrossRef Full Text | Google Scholar

115. Sheng X, Yan X, Chi Z, Si L, Cui C, Tang B, et al. Overall survival and biomarker analysis of a phase Ib combination study of toripalimab, a humanized IgG4 mAb against programmed death-1 (PD-1) with axitinib in patients with metastatic mucosal melanoma. J Clin Oncol. (2020) 38:10007. doi: 10.1200/JCO.2020.38.15_suppl.10007

CrossRef Full Text | Google Scholar

116. Makker V, Taylor MH, Aghajanian C, Oaknin A, Mier J, Cohn AL, et al. Lenvatinib (LEN) plus pembrolizumab (PEMBRO) for early-line treatment of advanced/recurrent endometrial cancer (EC). J Clin Oncol. (2020) 38:6083. doi: 10.1200/JCO.2020.38.15_suppl.6083

CrossRef Full Text | Google Scholar

117. Fukuoka S, Hara H, Takahashi N, Kojima T, Kawazoe A, Asayama M, et al. Regorafenib plus nivolumab in patients with advanced gastric or colorectal cancer: an open-label, dose –finding, and dose-expansion phase 1b trial (REGONIVO, EPOC1603). J Clin Oncol. (2019) 30:2522. doi: 10.1200/JCO.2019.37.15_suppl.2522

PubMed Abstract | CrossRef Full Text | Google Scholar

118. Gou M, Yan H, E LT, Wang Z, Si H, Chen S, et al. Fruquintinib combination with sintilimab in refractory metastatic colorectal cancer patients in China. J Clin Oncol. (2020) 38:4028. doi: 10.1200/JCO.2020.38.15_suppl.4028

CrossRef Full Text | Google Scholar

119. Poddubskaya EV, Baranova MP, Allina DO, Smirnov PY, Albert EA, Kirilchev AP, et al. Personalized prescription of tyrosine kinase inhibitors in unresectable metastatic cholangiocarcinoma. Exp Hematol Oncol. (2018) 7:21. doi: 10.1186/s40164-018-0113-x

PubMed Abstract | CrossRef Full Text | Google Scholar

120. Harper SJ, Bates DO. VEGF-A splicing: the key to anti-angiogenic therapeutics? Nat Rev Cancer. (2008) 8:880–7. doi: 10.1038/nrc2505

PubMed Abstract | CrossRef Full Text | Google Scholar

121. Hegde PS, Jubb AM, Chen D, Li NF, Meng YG, Bernaards C, et al. Predictive impact of circulating vascular endothelial growth factor in four phase III trials evaluating bevacizumab. Clin Cancer Res. (2013) 19:929–37. doi: 10.1158/1078-0432.CCR-12-2535

PubMed Abstract | CrossRef Full Text | Google Scholar

122. Hahn OM, Yang C, Medved M, Karczmar G, Kistner E, Karrison T, et al. Dynamic contrast-enhanced magnetic resonance imaging pharmacodynamic biomarker study of sorafenib in metastatic renal carcinoma. J Clin Oncol. (2008) 26:4572–8. doi: 10.1200/JCO.2007.15.5655

PubMed Abstract | CrossRef Full Text | Google Scholar

123. Sternberg CN, Davis ID, Mardiak J, Szczylik C, Lee E, Wagstaff J, et al. Pazopanib in locally advanced or metastatic renal cell carcinoma: results of a randomized phase III trial. J Clin Oncol. (2010) 28:1061–8. doi: 10.1200/JCO.2009.23.9764

CrossRef Full Text | Google Scholar

124. Tran HT, Liu Y, Zurita AJ, Lin Y, Baker-Neblett KL, Martin AM, et al. Prognostic or predictive plasma cytokines and angiogenic factors for patients treated with pazopanib for metastatic renal-cell cancer: a retrospective analysis of phase 2 and phase 3 trials. Lancet Oncol. (2012) 13:827–37. doi: 10.1016/S1470-2045(12)70241-3

CrossRef Full Text | Google Scholar

125. Giuliano S, Pagès G. Mechanisms of resistance to anti-angiogenesis therapies. Biochimie. (2013) 95:1110–9. doi: 10.1016/j.biochi.2013.03.002

PubMed Abstract | CrossRef Full Text | Google Scholar

126. Liu X, Qin S, Wang Z, Xu J, Xiong J, Bai Y, et al. Early presence of anti-angiogenesis-related adverse events as a potential biomarker of antitumor efficacy in metastatic gastric cancer patients treated with apatinib: a cohort study. J Hematol Oncol. (2017) 10:153. doi: 10.1186/s13045-017-0521-0

PubMed Abstract | CrossRef Full Text | Google Scholar

127. Liu X, Qin S, Wang Z, Xu J, Xiong J, Bai Y, et al. Correction to: early presence of anti-angiogenesis-related adverse events as a potential biomarker of antitumor efficacy in metastatic gastric cancer patients treated with apatinib: a cohort study. J Hematol Oncol. (2018) 11:5. doi: 10.1186/s13045-017-0545-5

PubMed Abstract | CrossRef Full Text | Google Scholar

128. Rini BI, Schiller JH, Fruehauf JP, Cohen EE, Tarazi JC, Rosbrook B, et al. Diastolic blood pressure as a biomarker of axitinib efficacy in solid tumors. Clin Cancer Res. (2011) 17:3841–9. doi: 10.1158/1078-0432.CCR-10-2806

PubMed Abstract | CrossRef Full Text | Google Scholar

129. Rini BI, Cohen DP, Lu DR, Chen I, Hariharan S, Gore ME, et al. Hypertension as a biomarker of efficacy in patients with metastatic renal cell carcinoma treated with sunitinib. J Natl Cancer Inst. (2011) 103:763–73. doi: 10.1093/jnci/djr128

PubMed Abstract | CrossRef Full Text | Google Scholar

130. Mok TSK, Wu YL, Kudaba I, Kowalski DM, Cho BC, Turna HZ, et al. Pembrolizumab versus chemotherapy for previously untreated, PD-L1-expressing, locally advanced or metastatic non-small-cell lung cancer (KEYNOTE-042): a randomised, open-label, controlled, phase 3 trial. Lancet. (2019) 393:1819–30. doi: 10.1016/S0140-6736(18)32409-7

PubMed Abstract | CrossRef Full Text | Google Scholar

131. Bellmunt J, de Wit R, Vaughn DJ, Fradet Y, Lee JL, Fong L, et al. Pembrolizumab as second-line therapy for advanced urothelial carcinoma. N Engl J Med. (2017) 376:1015–26. doi: 10.1056/NEJMoa1613683

PubMed Abstract | CrossRef Full Text | Google Scholar

132. Cristescu R, Mogg R, Ayers M, Albright A, Murphy E, Yearley J, et al. Pan-tumor genomic biomarkers for PD-1 checkpoint blockade-based immunotherapy. Science. (2018) 362:aar3593. doi: 10.1126/science.aar3593

PubMed Abstract | CrossRef Full Text | Google Scholar

133. Wakabayashi G, Lee YC, Luh F, Kuo CN, Chang WC, Yen Y. Development and clinical applications of cancer immunotherapy against PD-1 signaling pathway. J Biomed Sci. (2019) 26:96. doi: 10.1186/s12929-019-0588-8

CrossRef Full Text | Google Scholar

134. Simeone E, Gentilcore G, Giannarelli D, Grimaldi AM, Caracò C, Curvietto M, et al. Immunological and biological changes during ipilimumab treatment and their potential correlation with clinical response and survival in patients with advanced melanoma. Cancer Immunol Immunother. (2014) 63:675–83. doi: 10.1007/s00262-014-1545-8

PubMed Abstract | CrossRef Full Text | Google Scholar

135. Kelderman S, Heemskerk B, van Tinteren H, van den Brom RR, Hospers GA, van den Eertwegh AJ, et al. Lactate dehydrogenase as a selection criterion for ipilimumab treatment in metastatic melanoma. Cancer Immunol Immunother. (2014) 63:449–58. doi: 10.1007/s00262-014-1528-9

PubMed Abstract | CrossRef Full Text | Google Scholar

136. Buder-Bakhaya K, Hassel JC. Biomarkers for clinical benefit of immune checkpoint inhibitor treatment-a review from the melanoma perspective and beyond. Front Immunol. (2018) 9:1474. doi: 10.3389/fimmu.2018.01474

PubMed Abstract | CrossRef Full Text | Google Scholar

137. Balatoni T, Mohos A, Papp E, Sebestyén T, Liszkay G, Oláh J, et al. Tumor-infiltrating immune cells as potential biomarkers predicting response to treatment and survival in patients with metastatic melanoma receiving ipilimumab therapy. Cancer Immunol Immunother. (2018) 67:141–51. doi: 10.1007/s00262-017-2072-1

PubMed Abstract | CrossRef Full Text | Google Scholar

138. Mardis ER. Neoantigens and genome instability: impact on immunogenomic phenotypes and immunotherapy response. Genome Med. (2019) 11:71. doi: 10.1186/s13073-019-0684-0

PubMed Abstract | CrossRef Full Text | Google Scholar

139. Anagnostou V, Smith KN, Forde PM, Niknafs N, Bhattacharya R, White J, et al. Evolution of neoantigen landscape during immune checkpoint blockade in non-small cell lung cancer. Cancer Discov. (2017) 7:264–76. doi: 10.1158/2159-8290.CD-16-0828

PubMed Abstract | CrossRef Full Text | Google Scholar

140. Jenkins RW, Barbie DA, Flaherty KT. Mechanisms of resistance to immune checkpoint inhibitors. Br J Cancer. (2018) 118:9–16. doi: 10.1038/bjc.2017.434

PubMed Abstract | CrossRef Full Text | Google Scholar

141. Budczies J, Bockmayr M, Denkert C, Klauschen F, Gröschel S, Darb-Esfahani S, et al. Pan-cancer analysis of copy number changes in programmed death-ligand 1 (PD-L1, CD274) - associations with gene expression, mutational load, and survival. Genes Chromosomes Cancer. (2016) 55:626–39. doi: 10.1002/gcc.22365

PubMed Abstract | CrossRef Full Text | Google Scholar

142. Le DT, Durham JN, Smith KN, Wang H, Bartlett BR, Aulakh LK, et al. Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade. Science. (2017) 357:409–13. doi: 10.1126/science.aan6733

PubMed Abstract | CrossRef Full Text | Google Scholar

143. Jreige M, Letovanec I, Chaba K, Renaud S, Rusakiewicz S, Cristina V, et al. F-18-FDG PET metabolic-to-morphological volume ratio predicts PD-L1 tumor expression and response to PD-1 blockade in non-small-cell lung cancer. Eur J Nucl Med Mol Imaging. (2019) 46:1859–68. doi: 10.1007/s00259-019-04348-x

PubMed Abstract | CrossRef Full Text | Google Scholar

144. Sanli Y, Leake J, Odu A, Xi Y, Subramaniam RM. Tumor heterogeneity on FDG PET/CT and immunotherapy: an imaging biomarker for predicting treatment response in patients with metastatic melanoma. Am J Roentgenol. (2019) 212:1318–26. doi: 10.2214/AJR.18.19796

PubMed Abstract | CrossRef Full Text | Google Scholar

145. Ye W. The complexity of translating anti-angiogenesis therapy from basic science to the clinic. Dev Cell. (2016) 37:114–25. doi: 10.1016/j.devcel.2016.03.015

PubMed Abstract | CrossRef Full Text | Google Scholar

146. McDermott DF, Huseni MA, Atkins MB, Motzer RJ, Rini BI, Escudier B, et al. Clinical activity and molecular correlates of response to atezolizumab alone or in combination with bevacizumab versus sunitinib in renal cell carcinoma. Nat Med. (2018) 24:749–57. doi: 10.1038/s41591-018-0053-3

CrossRef Full Text | Google Scholar

147. Rini BI, Huseni M, Atkins MB, McDermott DF, Powles TB, Escudier B, et al. Molecular correlates differentiate response to atezolizumab (atezo) + bevacizumab (bev) vs sunitinib (sun): results from a phase III study (IMmotion151) in untreated metastatic renal cell carcinoma (mRCC). Ann Oncol. (2018) 29:724–5. doi: 10.1093/annonc/mdy424.037

CrossRef Full Text | Google Scholar

148. Rebuzzi SE, Facchinetti F, Tiseo M. Anti-angiogenesis boosts chemo-immunotherapy in patients with EGFR mutations or baseline liver metastases: insights from IMpower150 study. Transl Cancer Res. (2019) 8:612–7. doi: 10.21037/tcr.2019.06.21

CrossRef Full Text | Google Scholar

149. Hodi FS, O'Day SJ, McDermott DF, McDermott DF, Weber RW, Sosman JA, et al. Improved survival with ipilimumab in patients with metastatic melanoma. N Engl J Med. (2010) 363:711–23. doi: 10.1056/NEJMoa1003466

PubMed Abstract | CrossRef Full Text | Google Scholar

150. Wu X, Giobbie-Hurder A, Liao X, Lawrence D, McDermott D, Zhou J, et al. VEGF neutralization plus CTLA-4 blockade alters soluble and cellular factors associated with enhancing lymphocyte infiltration and humoral recognition in melanoma. Cancer Immunol Res. (2016) 4:858–68. doi: 10.1158/2326-6066.CIR-16-0084

PubMed Abstract | CrossRef Full Text | Google Scholar

151. Noman MZ, Desantis G, Janji B, Hasmim M, Karray S, Dessen P, et al. PD-L1 is a novel direct target of HIF-1α, and its blockade under hypoxia enhanced MDSC-mediated T cell activation. J Exp Med. (2014) 211:781–90. doi: 10.1084/jem.20131916

PubMed Abstract | CrossRef Full Text | Google Scholar

152. Francisco LM, Sage PT, Sharpe AH. The PD-1 pathway in tolerance and autoimmunity. Immunol Rev. (2010) 236:219–42. doi: 10.1111/j.1600-065X.2010.00923.x

PubMed Abstract | CrossRef Full Text | Google Scholar

153. Hato T, Goyal L, Greten TF, Duda DG, Zhu AX. Immune checkpoint blockade in hepatocellular carcinoma: current progress and future directions. Hepatology. (2014) 60:1776–82. doi: 10.1002/hep.27246

PubMed Abstract | CrossRef Full Text | Google Scholar

154. Faruque LI, Lin M, Battistella M, Wiebe N, Reiman T, Hemmelgarn B, et al. Systematic review of the risk of adverse outcomes associated with vascular endothelial growth factor inhibitors for the treatment of cancer. PLoS ONE. (2014) 9:e101145. doi: 10.1371/journal.pone.0101145

PubMed Abstract | CrossRef Full Text | Google Scholar

155. Nishino M, Ramaiya NH, Hatabu H, Hodi FS. Monitoring immune-checkpoint blockade:response evaluation and biomarker development. Nat Rev Clin Oncol. (2017) 14:655–68. doi: 10.1038/nrclinonc.2017.88

PubMed Abstract | CrossRef Full Text | Google Scholar

156. Shibaki R, Murakami S, Matsumoto Y, Yoshida T, Goto Y, Kanda S, et al. Association of immune-related pneumonitis with the presence of preexisting interstitial lung disease in patients with non-small lung cancer receiving anti-programmed cell death 1 antibody. Cancer Immunol Immunother. (2020) 69:15–22. doi: 10.1007/s00262-019-02431-8

PubMed Abstract | CrossRef Full Text | Google Scholar

157. Widick P, Gill RR, Mantia C, Costa DB, Rangachari D. Extensive-stage small-cell lung cancer with sustained complete response to single-agent nivolumab and immune-related dermatitis. Clin Lung Cancer. (2020) 21:e6–9. doi: 10.1016/j.cllc.2019.09.005

PubMed Abstract | CrossRef Full Text | Google Scholar

158. de Miguel-Luken MJ, Mansinho A, Boni V, Calvo E. Immunotherapy-based combinations: current status and perspectives. Curr Opin Oncol. (2017) 29:382–94. doi: 10.1097/CCO.0000000000000391

PubMed Abstract | CrossRef Full Text | Google Scholar

159. Amin A, Plimack ER, Infante JR, Ernstoff MS, Rini BI, McDermott DF, et al. Nivolumab (anti-PD-1; BMS-936558, ONO-4538) in combination with sunitinib or pazopanib in patients (pts) with metastatic renal cell carcinoma (mRCC). J Clin Oncol. (2014) 32:5010. doi: 10.1200/jco.2014.32.15_suppl.5010

CrossRef Full Text | Google Scholar

160. Zhu X, McDowell MM, Newman WC, Mason GE, Greene S, Tamber MS. Severe cerebral edema following nivolumab treatment for pediatric glioblastoma: case report. J Neurosurg Pediatr. (2017) 19:249–53. doi: 10.3171/2016.8.PEDS16326

PubMed Abstract | CrossRef Full Text | Google Scholar

161. Qin L, Li X, Stroiney A, Qu J, Helgager J, Reardon DA, et al. Advanced MRI assessment to predict benefit of anti-programmed cell death 1 protein immunotherapy response in patients with recurrent glioblastoma. Neuroradiology. (2017) 59:135–45. doi: 10.1007/s00234-016-1769-8

PubMed Abstract | CrossRef Full Text | Google Scholar

162. Kamoun WS, Ley CD, Farrar CT, Duyverman AM, Lahdenranta J, Lacorre DA, et al. Edema control by cediranib, a vascular endothelial growth factor receptor-targeted kinase inhibitor, prolongs survival despite persistent brain tumor growth in mice. J Clin Oncol. (2009) 27:2542–52. doi: 10.1200/JCO.2008.19.9356

PubMed Abstract | CrossRef Full Text | Google Scholar

163. Batchelor TT, Sorensen AG, di Tomaso E, Zhang WT, Duda DG, Cohen KS, et al. AZD2171, a pan-VEGF receptor tyrosine kinase inhibitor, normalizes tumor vasculature and alleviates edema in glioblastoma patients. Cancer Cell. (2007) 11:83–95. doi: 10.1016/j.ccr.2006.11.021

PubMed Abstract | CrossRef Full Text | Google Scholar

164. Jain RK. Antiangiogenesis strategies revisited: from starving tumors to alleviating hypoxia. Cancer Cell. (2014) 26:605–22. doi: 10.1016/j.ccell.2014.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

165. Kheder El-Fekih R, Deltombe C, Izzedine H. Thrombotic microangiopathy and cancer. Nephrol Ther. (2017) 13:439–47. doi: 10.1016/j.nephro.2017.01.023

PubMed Abstract | CrossRef Full Text | Google Scholar

166. Vakiti A, Singh D, Pilla R, Alhaj-Moustafa M, Fitzpatrick KW. Bevacizumab-induced atypical hemolytic uremic syndrome and treatment with eculizumab. J Oncol Pharm Pract. (2019) 25:1011–5. doi: 10.1177/1078155218774895

PubMed Abstract | CrossRef Full Text | Google Scholar

167. Zhuang J, Du J, Guo X, Zhou J, Duan L, Qiu W, et al. Clinical diagnosis and treatment recommendations for immune checkpoint inhibitor-related hematological adverse events. Thorac Cancer. (2020) 11:799–804. doi: 10.1111/1759-7714.13281

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: immune checkpoint inhibitor, PD-1, PD-L1, anti-angiogenesis, tumor microenvironment, combination therapy

Citation: Song Y, Fu Y, Xie Q, Zhu B, Wang J and Zhang B (2020) Anti-angiogenic Agents in Combination With Immune Checkpoint Inhibitors: A Promising Strategy for Cancer Treatment. Front. Immunol. 11:1956. doi: 10.3389/fimmu.2020.01956

Received: 04 March 2020; Accepted: 20 July 2020;
Published: 25 August 2020.

Edited by:

Nicola Giuliani, University of Parma, Italy

Reviewed by:

Nahum Puebla-Osorio, University of Texas MD Anderson Cancer Center, United States
Lu Si, Peking University Cancer Hospital, China
Chunxia Su, Shanghai Pulmonary Hospital, China

Copyright © 2020 Song, Fu, Xie, Zhu, Wang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jun Wang, Z2dqdW4yMDA1JiN4MDAwNDA7MTI2LmNvbQ==; Bicheng Zhang, YmljaGVuZ3poYW5nJiN4MDAwNDA7aG90bWFpbC5jb20=

These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.