- 1Chongqing Key Laboratory of Ultrasound Molecular Imaging, Institute of Ultrasound Imaging and Department of Ultrasound, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
- 2Department of Ultrasound, The Third People’s Hospital of Chengdu City, Chengdu, China
Immune checkpoint blockade (ICB) typified by anti-PD-1/PD-L1 antibodies as a revolutionary treatment for solid malignancies has been limited to a subset of patients due to poor immunogenicity and inadequate T cell infiltration. Unfortunately, no effective strategies combined with ICB therapy are available to overcome low therapeutic efficiency and severe side effects. Ultrasound-targeted microbubble destruction (UTMD) is an effective and safe technique holding the promise to decrease tumor blood perfusion and activate anti-tumor immune response based on the cavitation effect. Herein, we demonstrated a novel combinatorial therapeutic modality combining low-intensity focused ultrasound-targeted microbubble destruction (LIFU-TMD) with PD-L1 blockade. LIFU-TMD caused the rupture of abnormal blood vessels to deplete tumor blood perfusion and induced the tumor microenvironment (TME) transformation to sensitize anti-PD-L1 immunotherapy, which markedly inhibited 4T1 breast cancer’s growth in mice. We discovered immunogenic cell death (ICD) in a portion of cells induced by the cavitation effect from LIFU-TMD, characterized by the increased expression of calreticulin (CRT) on the tumor cell surface. Additionally, flow cytometry revealed substantially higher levels of dendritic cells (DCs) and CD8+ T cells in draining lymph nodes and tumor tissue, as induced by pro-inflammatory molecules like IL-12 and TNF-α. These suggest that LIFU-TMD as a simple, effective, and safe treatment option provides a clinically translatable strategy for enhancing ICB therapy.
1 Introduction
Tumor immunotherapy aims to kill tumor cells by activating and promoting autoimmune function to effectively eliminate tumors and improve prognosis, including immune checkpoint blockade (ICB), which has revolutionized the treatment strategy of malignant tumors (Zhang and Zhang, 2020; Li et al., 2021; Yi et al., 2022). Immune checkpoints, molecules of coinhibitory signaling pathways that maintain a normal immune response, are often utilized by cancer cells resulting in immune resistance (Zhang and Zhang, 2020). As one of the most widely used monoclonal antibodies for ICB, anti-PD-1/PD-L1 antibodies are designed to redirect T cells to cancer cells by blocking the binding of immune checkpoint PD-1 receptor on T cells and its ligand PD-L1 on tumor cells, thereby overcoming tumor immune evasion (Gambichler et al., 2020; Yamaguchi et al., 2022). Exciting therapeutic efficacy has been achieved in melanoma, lung cancer, lymphoma, and others (Song et al., 2020; Reck et al., 2021; Luke et al., 2022). Nevertheless, the overall response rate of checkpoint inhibition strategies is limited to 20%-30% in clinical practice because most “immune-cold” solid tumors are not responsive, which are characterized by the lack of intratumoral T cell infiltration or signals to stimulate T cell activation (Li et al., 2018; Bagchi et al., 2021; Zhang et al., 2022). Especially, it even suffers an extremely low objective response rate of about 5% in triple-negative breast cancer (Adams et al., 2019). For this reason, researchers have been exploring various combination therapies to modify the tumor microenvironment (TME) to turn ‘cold’ into “hot” tumors (Yadav et al., 2022). For instance, chemotherapy, radiotherapy, or photodynamic therapy can promote the expression of tumor antigens or PD-L1 on the cancer cell surface to enhance the tumor immune responses to anti-PD-1/PD-L1 antibodies (Krombach et al., 2019; Du et al., 2020; Su et al., 2021). Unfortunately, chemotherapy is based on the systemic administration of drugs that attack normal and tumor cells indiscriminately, resulting in serious adverse effects including gastrointestinal toxicity, neurotoxicity, myelosuppression and so on (Oun et al., 2018). Moreover, the induction of infiltration and accumulation of regulatory T cells (Tregs) and myeloid-derived suppressor cells (MDSCs) by radiotherapy lead to immunosuppression (Liang et al., 2017; De Martino et al., 2021). Photodynamic therapy has always struggled to overcome the limitations of low penetration depth, low target specificity, and premature leakage (Liu et al., 2020; Deng et al., 2021). Therefore, the search for new effective and safe combination therapies remains an essential and challenging task.
It is increasingly clear that the effectiveness of immunotherapy depends on the infiltration of immune effector cells (Morad et al., 2021). Ultrasound-targeted microbubble destruction (UTMD), a newly developed technique, can destroy the established aberrant tumor blood vessels and impede tumor angiogenesis by utilizing microjets, shock waves, and free radicals generated by ultrasonic cavitation (Wang et al., 2015; Han et al., 2022). More importantly, a range of potentially immunotherapeutic-related effects can be stimulated through ultrasonic thermal or cavitation mechanisms, including dendritic cells (DCs), effector T cells, and tumor-associated macrophages (Yin et al., 2021; Han et al., 2022). It has been reported that the combination of low-frequency ultrasound and microbubbles (MBs) can potentiate DCs differentiation and further induce T lymphocyte-mediated immune responses by downregulation of vascular endothelial growth factor in a mouse prostate cancer model (Zhang et al., 2017), the resulting acoustic cavitation can alter tumor-associated macrophages polarization and promote T cell infiltration (Abe et al., 2022). Therefore, UTMD demonstrates the great potential to convert ‘cold’ into ‘hot’ tumors through multiple immunomodulating mechanisms, thereby sensitizing cancer immunotherapy. Notably, low-intensity ultrasound combined with MBs holds undeniable advantages of efficiency and safety, precise targeting, clinical availability, and high penetration (Arulpragasam et al., 2022), which enables it to be an ideal option to enhance ICB therapy.
To date, the anti-tumor effects and synergistic mechanisms remain to be explored in the combination of ultrasound-induced biological effects and immunotherapeutic approaches. In this study, we investigated the anti-tumor effect of low-intensity focused ultrasound-targeted microbubble destruction (LIFU-TMD) treatment combined with ICB therapy and explored the potential mechanisms in a 4T1 orthotopic breast cancer model in mice. We found that LIFU-TMD treatment significantly reduced tumor growth by mechanically destroying tumor vascular endothelium, which led to a substantial decrease in tumor blood perfusion. Moreover, the ultrasonic cavitation-mediated damage-induced immunogenic cell death (ICD), improved the efficiency of anti-PD-L1 treatment by stimulating DCs maturation and enhancing CD8+ T cells infiltration in tumor tissue (Figure 1). Considering the accessibility of low-intensity ultrasound and the superb safety of MB contrast agents (Sirsi and Borden, 2009), the combination of LIFU-TMD and anti-PD-L1 immunotherapy holds great promise for clinical translation.
FIGURE 1. Low-intensity focused ultrasound-targeted microbubble destruction (LIFU-TMD) damages tumor vascular endothelial cells and starves tumor cells by cutting off the blood supply, and simultaneously tumor cell debris induced by the cavitation effect further stimulates dendritic cells (DCs) maturation, and ultimately activating CD8+ T cells, thereby enhancing the efficacy of PD-L1 blockade.
2 Materials and methods
2.1 Cell lines and animals
4T1 murine breast carcinoma cell line was provided by Chongqing Medical University. 4T1 cells were cultured in RPMI 1640 medium (Gibco) with 10% fetal bovine serum (Biological Industries) and 1% penicillin/streptomycin (Gibco) as dietary supplements at 37°C and 5% CO2. Female Balb/c mice at the age of 6 to 8 weeks old were bought from the Chongqing Medical University Animal Center. The mice were housed in specified pathogen-free environments with a 12-h light/dark cycle, providing food and water ad libitum. The in vivo experimental protocols were approved by the Ethics Committee of the Second Affiliated Hospital of Chongqing Medical University (Ethical approval number: (2022) 103).
2.2 MB preparation and characterization
1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC), 1,2-Distearoyl-sn-glycero-3-phosphoethanolamine-N-[methoxy (polyethylene glycol)-2000] (DSPE-PEG2000) were purchased from Avanti Polar Lipids Inc. and Xi’an Ruixi Biological Technology Co., respectively. DPPC (10 mg) and DSPE-PEG2000 (4 mg) were dissolved in 1 mL of glycerol-phosphate-buffered saline (PBS) suspension to make a lipid film solution by a thin-film hydration method and stored in a 2 mL vial. Perfluoropropane was then poured into the vial. Finally, MBs were obtained by shaking for 40 s using the dental amalgamators (Shanghai Medical Instruments Co., Ltd.). The morphology of MB was observed by an optical microscope (Olympus). The particle size and zeta potential were measured using dynamic light scattering (Malvern).
2.3 In vivo anticancer treatment
4T1 cells in the logarithmic growth phase were collected and resuspended in PBS to a concentration of 5×107 cells/mL. Subsequently, the 4T1 orthotopic breast cancer model was established by injection with 100 μL 4T1 cell suspensions into the fifth right mammary fat pad. When tumors reached 50-100 mm3 (about 7 days after 4T1 tumor cell inoculation), for the anti-tumor treatment investigation, four groups of mice were tested (n = 5 per group): 1) Control (no treatment), 2) LIFU (no MB), 3) MB (no LIFU), and 4) MB + LIFU. A self-developed LIFU instrument (Chongqing Key Laboratory of Ultrasound Molecular Imaging) was used in this study, which consisted of a hand-held transducer with a diameter of 1 cm, a focal length of 1.5 cm, a focus area of 0.4 cm2, driving frequency of 1.0 MHz, acoustic intensity controllable by the user at the focal spot of 0.5-3.5 W/cm2 (continuous-wave mode) or 1.0-8.0 W/cm2 (pulsed-wave mode), and a duty cycle of 50%. The acoustic intensity was measured with a hydrophone (HNA-0400, ONDA Corporation, California, CA, United States). The parameters of ultrasound are 1.0 MHz, 3 W/cm2, and 50% duty cycle with 5 min sonication duration. 4T1 tumor-bearing mice were treated with LIFU immediately after intravenous injection of MB (200 μL suspension) on day 0, 1, 2, 3 and 4. During the treatment, the ultrasonic probe was moved around the tumor so that the whole tumor can be fully covered. The tumor volume was monitored every second day with the following formula:
2.4 Antivascular effect evaluation
To explore the antivascular effect of LIFU-TMD treatment, the tumor perfusion was evaluated using an ultrasonic scanner from the Vevo® 2100 Imaging System (VisualSonics Inc.) with the LZ-250 sensor in dual contrast mode (frequency: 18 MHz, power: 4%, contrast gain: 40.0 dB, and 2D gain: 18.0 dB), and the focal point was adjusted to the middle or the lower edge of the lesion. The mice were injected with 200 μL of MB suspension via the tail vein and treated with the same as the above acoustic parameters. B-mode and contrast-enhanced ultrasound (CEUS) imaging were performed before treatment (Pre-treatment), immediately after treatment (Post-0 h), and 24 h later (Post-24 h) with another 200 μL of MB injection. A time-intensity curve of the contrast signals in the region of interest was analyzed using QontraXt software (Amid, Milan, Italy), and three-dimensional pseudo-color images were generated based on the computer simulation of the acoustic intensity distribution in the tumors at the peak time point, and the mean peak intensity (PI) value of tumor perfusion was recorded and compared to evaluate the antivascular effect induced by LIFU-TMD.
Next, mice with 4T1 tumors were sacrificed. The histological changes were checked by H&E staining, and the tumor vessels were marked by CD31 antibody staining to assess microvessel density (MVD). MVD was counted according to the following criteria: The highest vessel density areas were selected at ×20 magnification, and then three fields were selected and counted under ×40 magnification.
2.5 Immune cells infiltration
To observe the effect of LIFU-TMD treatment on TME, calreticulin (CRT) protein exposed on the cell surface as a distinct biomarker of ICD was investigated by immunofluorescence staining (Han et al., 2019). Moreover, the maturation of DCs is essential for the activation of T lymphocytes to stimulate an efficient specific immune response (Marciscano and Anandasabapathy, 2021). Therefore, we evaluated changes in cytotoxic T lymphocytes (CTLs) within the tumor by flow cytometry. The following provides specific steps. Four groups of tumor-bearing mice were tested (n = 3 per group): 1) Control (no treatment), 2) LIFU (no MB), 3) MB (no LIFU), and 4) MB + LIFU. LIFU was performed immediately after intravenous injection of 200 μL MB suspension on day 0, 1, 2, 3 and 4. All the mice were sacrificed on day 7 after the last treatment, then the tumors and draining lymph nodes were collected and cut into fragments. Subsequently, enzyme digestion solution (0.025 mg/mL DNase I, 0.05 mg/mL Hyaluronidase, and 0.1 mg/mL collagenase IV) was added and the resulting suspension was incubated at 37°C for 40 min to produce a single-cell suspension. After the depletion of the red blood cells (RBCs) with red blood cell lysis buffer (Biosharp), the single-cell suspension was washed with PBS and stained with fluorescently labeled antibodies according to the protocol recommended by the manufacturer. Finally, the prepared cell suspension was analyzed by flow cytometry. The following antibodies were purchased from BioLegend: FITC anti-mouse CD3 (100204), PE anti-mouse CD4 (100408), APC anti-mouse CD8a (100712), FITC anti-mouse CD11c (117306), PE anti-mouse CD80 (104708), APC anti-mouse CD86 (105012), and Alexa Fluor® 647 anti-mouse FOXP3 (126408). At the same time, TNF-α and IL-12 in serum from different groups of mice were tested by ELISA kits (Jiangsu Meimian Industrial Co.). In forward scatter (FSC)/side scatter (SSC) plots of flow cytometry, lymphocyte population size and granularity are analyzed. As compensation controls, we performed single-dye stains. The expression of CD11c+ lymphocytes was detected. Finally, Matured DCs were defined as the CD80+ CD86+ subpopulation of the CD11c+ subset. Similarly, CD4+ and CD8+ T cells were subdivided from the CD3+ T lymphocyte subset within the lymphocyte size/structure gate, and CD3+ CD8+ T lymphocytes were defined as CTLs. Tregs were identified by separating CD4+ Foxp3+ cells from the CD3+ subpopulation.
2.6 In vivo synergistic therapy
For the synergistic therapy experiment, four groups of orthotopic 4T1-bearing mice on the right were tested (n = 5 per group): 1) Control (no treatment), 2) PD-L1, 3) MB + LIFU, and 4) MB + LIFU + PD-L1. On day 0, 1, 2, 3 and 4, MB suspension was intravenously injected followed by LIFU (1.0 MHz, 3 W/cm2, 50% duty cycle, and 5 min). Anti-PD-L1 antibody (1.5 mg/kg) was intravenously injected on day 1, 4 and 7. The mouse weight and volume were monitored every other day. Three mice were randomly sacrificed on day 11 after treatment and the obtained tumor tissue was immunofluorescently labeled with CD8 antibody.
2.7 Statistical analysis
Data for statistical analysis were expressed as means ± standard deviations, One-way analysis of variance (ANOVA), followed by Tukey correction, was used to make multiple comparisons. The changes in MVD were examined by Student’s two-tailed t-test. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.
3 Results
3.1 LIFU-TMD treatment inhibits tumor growth
Following the effective creation of milky white microbubbles with a potential of −5.12 ± 0.99 mV and a particle size of 1957 ± 53.37 nm in a single-peaked distribution (Supplementary Figures S1–S5), we assessed the impact of LIFU-TMD therapy on tumor growth in a 4T1 in situ breast cancer model. The experimental design was displayed in Supplementary Figure S6. As shown in Figures 2A–D, treatment with MB or LIFU alone has no obvious anti-tumor effect, while MB + LIFU treatment significantly inhibited tumor growth. And LIFU-TMD treatment exhibited favorable safety in view of the negligible fluctuation in the body weight of mice (Figure 2E). To further confirm the therapeutic efficacy, tumors were collected and sectioned for H&E, TUNEL, and PCNA staining on the third day after treatment. Mass necrosis and apoptosis were found in the group with MB + LIFU treatment, and the green fluorescence signal of dead cells was notably strengthened, whereas cells with proliferation exhibited a weaker red signal, indicating LIFU-TMD therapy could promote potent cancer cell apoptosis and inhibit tumor cell proliferation (Figure 2F). These results encouraged us to further explore the underlying mechanisms of LIFU-TMD treatment.
FIGURE 2. Evaluations on the LIFU-TMD treatment anti-tumor effectiveness in vivo. (A) Representative tumor images of the 4T1 tumors of diverse groups on day 11 after different treatments. Individual tumor growth curves (B) and the relative tumor volume (C) of the 4T1 tumors. (D) Tumor weights of the 4T1 tumors after different treatments. (E) Body weight change in each group. (F) H&E staining, TUNEL staining (green fluorescence) and PCNA staining images (red fluorescence) of the 4T1 tumors. Scale bar: 100 μm. Data are presented as mean ± SD (n = 5), *p < 0.05, **p < 0.01.
3.2 LIFU-TMD treatment blocks tumor blood perfusion and causes histological damage
After LIFU-TMD treatment, the tumor blood perfusion significantly decreased and was not substantially recovered 24 h later (Figure 3A; Supplementary Figure S7), and the mean PI values showed a similar trend (Figure 3D).
FIGURE 3. Tumor perfusion and histological changes of microvessels at different time points after LIFU-TMD therapy. (A) Representative contrast-enhanced ultrasound (CEUS) and three-dimensional pseudo-color images of the 4T1 tumor. H&E (B) and immunohistochemical staining for the endothelial marker CD31 with brown color (C) in the 4T1 tumor by light microscopy at before treatment (Pre-treatment), immediately after treatment (Post-0 h) and 24 h later (Post-24 h); scale bar: 50 μm for 40.0x images, 20 μm for amplification. (D) Mean peak intensity (PI) of tumors at 3-time points. (E) Quantitative analysis of the microvessel density (MVD) at different times. Data are presented as mean ± SD (n = 3), *p < 0.05, **p < 0.01, ***p < 0.001.
H&E staining results verified the disrupted microvessels in tumor tissue after treatment, the tubular structure disappeared and RBCs extravagated into the interstitial space. Flaky necrosis with pyknosis, karyorrhexis, and karyolysis was shown in tumor tissue 24 h later (Figure 3B). Next, CD31 immunohistochemistry staining results revealed that the vascular morphology of the tumor was intact and clearly visible before LIFU-TMD treatment, while LIFU-TMD mediated damage to tumor vascular endothelium and structure was confirmed by the unevenly staining and invisible tubular architectures after LIFU irradiation (Figure 3C). MVD expression was markedly reduced at 24 h post-treatment (Figure 3E). Taking these findings together, LIFU-TMD treatment inhibited tumor growth mainly by blocking blood perfusion and causing tumor cell damage.
3.3 LIFU-TMD treatment enhances immune effector cells infiltration
Encouraged by the release of damage-associated molecular patterns (DAMPs) signals in vitro, including CRT, adenosine triphosphate (ATP), and high mobility group box protein B1 (HMGB1), whose results were reported in the Supplementary Figures S8–S10, the in vivo immune responses were evaluated next. As shown in Figure 4A, a higher expression of CRT with a stronger fluorescence signal was found in the MB + LIFU group, indicating enhanced ICD after LIFU-TMD treatment. And the matured DCs proportion in tumor-draining lymph nodes was upregulated as analyzed by flow cytometry, which was significantly higher in the MB + LIFU group (26.40% ± 3.70%) compared to that in the control group (13.03% ± 2.03%) (Figures 4B, C). In addition, we observed a significant increase of CTLs infiltration in the MB + LIFU group (23.27% ± 4.42%) compared to that in other groups (Figures 4D, E). Serum cytokines, including IL-12 and TNF-α, play an important role in recruiting immune cells. ELISA results demonstrated that IL-12 and TNF-α secretion levels increased in serum in the LIFU-TMD treatment group (Figure 4F, G), which corresponded with the findings of DCs maturation and CTLs infiltration. The percentage range for Tregs is slightly smaller than for groups Control and LIFU, whereas there was no statistical difference among all groups (Figure S11-12).
FIGURE 4. In vivo immunomodulating mechanisms. (A) Immunofluorescence staining of 4T1 tumors showing the induction of calreticulin (CRT) after different treatments (scale bar: 100 μm). (B) The matured DCs (CD11c+CD80+CD86+) in tumor-draining lymph nodes of mice after different treatments analyzed by flow cytometry and (C) the corresponding quantitative data. (D) Flow cytometric analysis of cytotoxic T lymphocytes (CTLs; CD3+CD8+) in 4T1 tumor-bearing mice and (E) the corresponding quantification of CTLs. (F, G) Cytokine levels in sera measured by ELISA assay. All data are presented as mean ± SD (n = 3), *p < 0.05, **p < 0.01.
3.4 LIFU-TMD treatment increases anticancer responsiveness to anti-PD-L1 therapy
The efficacy of anti-PD-L1 immunotherapy is limited by insufficient CTLs infiltration within the tumor. Encouraged by the verified satisfactory immunostimulation effect, we next evaluated the synergistic effectiveness of LIFU-TMD in combination with anti-PD-L1 therapy. The combinatory therapy regime was illustrated in Figure 5A. As shown in Figures 5B–E, tumor growth reduction was greatest in the MB + LIFU + PD-L1 group based on the results of tumor volume and weight. LIFU-TMD treatment could inhibit tumor growth as confirmed in the above experiment, while anti-PD-L1 immunotherapy showed no evident tumor inhibitory effect. No obvious fluctuations in the body weight of mice were found during the treatment (Figure 5F), indicating good therapeutic safety. Similarly, we observed a remarkable increase of activated CD8+ T cell infiltration in the MB + LIFU + PD-L1 group (Figure 5G). Therefore, LIFU-TMD treatment not only inhibits tumor growth but simultaneously activates an immune response to anti-PD-L1 antibodies leading to synergistic therapeutic efficacy.
FIGURE 5. Evaluations of anti-tumor efficacy in vivo of LIFU-TMD treatment plus PD-L1 blockade. (A) Schematic illustration of LIFU-TMD treatment plus anti-PD-L1 antibodies to suppress the development of the tumors. (n = 5) (B) Representative tumor images of the 4T1 tumors of various groups after different treatments. Individual tumor growth curves (C), the relative tumor volume (D) and tumor weights (E) of the 4T1 tumors after different treatments (n = 5). (F) Body weight change in each group (n = 5). (G) Immunofluorescence staining images of CD8+ T cell the 4T1 tumors. Scale bar: 100 μm. Data are presented as mean ± SD, *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.
3.5 Biosafety evaluation
As shown in Supplementary Figures S13–S16, the MB and LIFU groups showed nearly no toxicity to the HUVECs and 4T1 cells. When the concentration of MBs increased, the viability of 4T1 cells reduced significantly after irradiation of LIFU (Supplementary Figure S17). Accordingly, LIFU or MB alone demonstrated good biocompatibility in vitro, while increasing the MBs concentration (≥20%) resulted in targeted killing of 4T1 tumor cells through LIFU. Consistently, the body weight was not affected by MBs injection in tail veins (Supplementary Figure S18). Furthermore, routine blood and serum biochemistry, as well as H&E staining of major organs, revealed no significant systematic toxicity, suggesting good biocompatibility of MBs in vivo (Figures 6A, B).
FIGURE 6. Biosafety evaluation. The hematology indicators (A) and H&E staining of major organs of (B) Balb/c mice 14 days after intravenous injection of MBs (n = 3, scale bar: 100 μm).
4 Discussion
Recently, there has been a lot of interest in the use of nanocarriers to modify the TME to improve the effectiveness of ICBs, including the use of low-intensity ultrasound stimulation nanoparticles loaded with acoustic sensitizers to trigger an anti-tumor immune response (Yue et al., 2019; Huang et al., 2021; Yadav et al., 2022). Nevertheless, it is difficult to apply nanomedicines in clinical practice due to unclear release mechanisms, uncertainty about potential toxicity, and incomplete pharmacokinetic behavior of drug-loaded nanoparticles in vivo (Karimi et al., 2016; Su et al., 2019). Therefore, in this study, we aimed to seek a novel strategy to improve patients’ response to ICBs to address unmet clinical needs. As a commonly used contrast enhancement agent clinically, MBs caught our attention with a high safety and stability profile. Our earlier studies exhibited no substantial alterations in key organs in mice treated with LIFU (Deng et al., 2021; Jiang et al., 2022). We selected LIFU-mediated MB destruction treatment to hypothesize synergy with the combined anti-PD-L1 antibodies. Fortunately, we demonstrated that LIFU-TMD treatment generated a similar anti-tumor effect, and the combination with anti-PD-L1 antibodies successfully inhibited the growth of cold tumors.
Since the aberrant vascular system due to the high rate of angiogenesis in TME is known to play a critical role in promoting tumor growth and metastasis, reduction in tumor perfusion is particularly attractive. The antivascular effect of ultrasound-mediated MB disruption has been adequately documented by several studies (Todorova et al., 2013; Wang et al., 2015; Shen et al., 2017; Wu et al., 2020; Yu et al., 2022), which is consistent with our work. Based on imaging and histological results, we found that tumor perfusion was visibly reduced after LIFU-TMD treatment and MVD was decreased 24 h later. As disrupting the established abnormal vasculature, the tumor cells would be directly starved without oxygen and nutrients from tumor blood vessels (Ho et al., 2017; Snipstad et al., 2021), in line with the results of sustained perfusion reduction caused by LIFU-TMD.
Notably, while the impact of ultrasound cavitation effect in regulating immune cell infiltration has been documented by pieces of evidence, the mechanisms concerning the adaptive immune response induced by low-intensity ultrasound are still partially explored (Hunt et al., 2015; Ho et al., 2020; Liu et al., 2022). A recent study reported that a cytotoxic T cell (T-cyt) dependent mechanism plausibly existed in antivascular ultrasound stimulation of MBs-induced anti-tumor immune response longitudinal growth studies by the use of the CT26 model (Bulner et al., 2019). Our results suggested that in addition to enhancing CTLs infiltration, LIFU-TMD treatment had a broader impact on the TME of 4T1 breast cancer, which has been reported to convert to immunosuppressive TME in a natural course over 11 days (Cohen et al., 2020). To activate the anti-tumor immune response, several critical steps must be taken. 1) Immature DCs can specifically recognize antigens based on their expressed molecules and are transformed into matured DCs upon stimulation by maturation signals. 2) T cells in lymph nodes are activated by matured DCs presenting antigens. 3) Activated T cells infiltrate tumor tissue and kill cancer cells (Somarribas Patterson and Vardhana, 2021; Bao and Xie, 2022). The preliminary data we collected in this study was consistent with the above principles: 1) DAMPs signals changed in conjunction with tumor fragmentation induced by the ultrasonic cavitation effect. CRT served as an ‘eat-me’ signal to stimulate the antigen-presenting function of DCs, while ATP functioned as a “find-me” signal to recruit DCs, and HMGB1 assisted in the maturation of DCs (Bao and Xie, 2022; Li et al., 2022). As expected, the percentage of matured DCs was approximately 1.6 times greater than that in the other groups. Also, the secretion levels of pro-inflammatory cytokines in serum, including IL-12 and TNF-α, were increased in the ELISA assay, which were able to recruit and activate DCs and enhance antigen-specific immunity (Karan, 2018). 2) The percentage of CD3+CD8+ T cells was nearly 2.5-fold higher compared to that in the control group, confirming the activation and infiltration of effector T cells.
Currently, the lack of CTLs infiltration in solid tumors limits patients’ response to ICB therapy. Several previous studies implied that one of the immune-supportive properties of low-intensity ultrasound-mediated treatment depended on the development of inflamed TME supported by CD8+ T cells, and its establishment was proved in this study. In addition, drug distribution in the TME can be affected by abnormal vasculature and high interstitial fluid pressure (IFP). It has been confirmed that vascular disrupting agents (VDA) can effectively reduce high IFP and improve tumor vascular permeability by influencing tumor blood flow (Bouzin and Feron, 2007; Liu et al., 2022). Due to intravenous administration, VDA would cause side effects by affecting some damaged normal blood vessels in the systemic circulation. Attractively, UTMD can destroy tumor blood vessels in the site through cavitation to reduce adverse effects. And vascular rupture generated by disruption of micro- or nano-droplets with ultrasound can reduce IFP, break the pore size limitation between endothelial cells, and expand tissue space to facilitate drug penetration (Ho and Yeh, 2017; Cao et al., 2018; Ho et al., 2018; Xi et al., 2022; Zheng et al., 2023). In light of the above theory, it is reasonable to speculate that the destruction of tumor vasculature by LIFU-TMD treatment caused incomplete vessel wall structure and decreased IFP, which could promote the penetration of anti-PD-L1 antibodies into tumors through the enlarged vascular space. Therefore, LIFU-TMD potentiated the efficacy of PD-L1 blockade immunotherapy through multiple mechanisms in our study.
There are a few limitations to our research. Firstly, the investigation of the immune cell infiltration for a broader range of time points (such as 24 h, 3 days and 5 days post-treatment) is warranted, which would be more beneficial for us to determine the optimal time of administration of anti-PD-L1. Secondly, the work validated the short-term anti-tumor effects of LIFU-TMD, while it will be desirable to also look into the long-term impacts of tumor growth inhibition.
Overall, in this study, we observed that LIFU-mediated MB destruction led to the rupture of tumor microvasculatures causing a substantial decrease of tumor perfusion and directly resulting in massive tumor cell death. Notably, we found that a portion of tumor cells underwent ICD accompanied by the release of DAMPs, which further stimulated DC maturation and recruitment of T cells into the TME. These findings lay the foundation for the further combination of LIFU-TMD treatment with PD-L1 blockade, which resulted in synergistic anti-tumor efficacy. It is well known that MBs possess good biosafety with broad clinical application and LIFU is endowed with safety, non-invasiveness, accessibility, and simple operation, we thereby can expect the combinatory therapy of LIFU-TMD with PD-L1 blockade will be a promising strategy for clinical translation.
Data availability statement
The data presented in this study are available from the corresponding author on reasonable request.
Ethics statement
The animal study was reviewed and approved by the Ethics Committee of the Second Affiliated Hospital of Chongqing Medical University.
Author contributions
NW, conceptualization, methodology, writing-original draft. YC and YL, data curation, formal analysis. YZ, HH, and RT, investigation, analysis data. LW and CW, validation. XX and LZ, supervision. PL, writing-review and editing, project administration, acquisition.
Funding
This research was funded by the National Natural Science Foundation Project (82272025), Venture and Innovation Support Program for Chongqing Overseas Returnees (cx2019027), and Chongqing Natural Science Foundation project (cstc2021jcyj-msxmX0220).
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.
Publisher’s note
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.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fbioe.2023.1173381/full#supplementary-material
References
Abe, S., Nagata, H., Crosby, E. J., Inoue, Y., Kaneko, K., Liu, C. X., et al. (2022). Combination of ultrasound-based mechanical disruption of tumor with immune checkpoint blockade modifies tumor microenvironment and augments systemic antitumor immunity. J. Immunother. Cancer 10 (1), e003717. doi:10.1136/jitc-2021-003717
Adams, S., Schmid, P., Rugo, H. S., Winer, E. P., Loirat, D., Awada, A., et al. (2019). Pembrolizumab monotherapy for previously treated metastatic triple-negative breast cancer: cohort A of the phase II KEYNOTE-086 study. Ann. Oncol. 30 (3), 397–404. doi:10.1093/annonc/mdy517
Arulpragasam, A. R., van 't Wout-Frank, M., Barredo, J., Faucher, C. R., Greenberg, B. D., and Philip, N. S. (2022). Low intensity focused ultrasound for non-invasive and reversible deep brain neuromodulation-A paradigm shift in psychiatric research. Front. Psychiatry 13, 825802. doi:10.3389/fpsyt.2022.825802
Bagchi, S., Yuan, R., and Engleman, E. G. (2021). Immune checkpoint inhibitors for the treatment of cancer: Clinical impact and mechanisms of response and resistance. Annu. Rev. Pathol. 16, 223–249. doi:10.1146/annurev-pathol-042020-042741
Bao, X., and Xie, L. (2022). Targeting purinergic pathway to enhance radiotherapy-induced immunogenic cancer cell death. J. Exp. Clin. Cancer Res. 41 (1), 222. doi:10.1186/s13046-022-02430-1
Bouzin, C., and Feron, O. (2007). Targeting tumor stroma and exploiting mature tumor vasculature to improve anti-cancer drug delivery. Drug Resist Updat 10 (3), 109–120. doi:10.1016/j.drup.2007.03.001
Bulner, S., Prodeus, A., Gariepy, J., Hynynen, K., and Goertz, D. E. (2019). Enhancing checkpoint inhibitor therapy with ultrasound stimulated microbubbles. Ultrasound Med. Biol. 45 (2), 500–512. doi:10.1016/j.ultrasmedbio.2018.10.002
Cao, Y., Chen, Y., Yu, T., Guo, Y., Liu, F., Yao, Y., et al. (2018). Drug release from phase-changeable nanodroplets triggered by low-intensity focused ultrasound. Theranostics 8 (5), 1327–1339. doi:10.7150/thno.21492
Cohen, G., Chandran, P., Lorsung, R. M., Tomlinson, L. E., Sundby, M., Burks, S. R., et al. (2020). The impact of focused ultrasound in two tumor models: Temporal alterations in the natural history on tumor microenvironment and immune cell response. Cancers (Basel) 12 (2), 350. doi:10.3390/cancers12020350
De Martino, M., Daviaud, C., Diamond, J. M., Kraynak, J., Alard, A., Formenti, S. C., et al. (2021). Activin A promotes regulatory T-cell-mediated immunosuppression in irradiated breast cancer. Cancer Immunol. Res. 9 (1), 89–102. doi:10.1158/2326-6066.CIR-19-0305
Deng, K., Yu, H., Li, J. M., Li, K. H., Zhao, H. Y., Ke, M., et al. (2021a). Dual-step irradiation strategy to sequentially destroy singlet oxygen-responsive polymeric micelles and boost photodynamic cancer therapy. Biomaterials 275, 120959. doi:10.1016/j.biomaterials.2021.120959
Deng, L., Liu, M., Sheng, D., Luo, Y., Wang, D., Yu, X., et al. (2021b). Low-intensity focused ultrasound-augmented Cascade chemodynamic therapy via boosting ROS generation. Biomaterials 271, 120710. doi:10.1016/j.biomaterials.2021.120710
Du, B., Wen, X., Wang, Y., Lin, M., and Lai, J. (2020). Gemcitabine and checkpoint blockade exhibit synergistic anti-tumor effects in a model of murine lung carcinoma. Int. Immunopharmacol. 86, 106694. doi:10.1016/j.intimp.2020.106694
Gambichler, T., Reuther, J., Scheel, C. H., and Becker, J. C. (2020). On the use of immune checkpoint inhibitors in patients with viral infections including COVID-19. J. Immunother. Cancer 8 (2), e001145. doi:10.1136/jitc-2020-001145
Han, A., Li, C., Zahed, T., Wong, M., Smith, I., Hoedel, K., et al. (2019). Calreticulin is a critical cell survival factor in malignant neoplasms. PLoS Biol. 17 (9), e3000402. doi:10.1371/journal.pbio.3000402
Han, Y., Sun, J., Wei, H., Hao, J., Liu, W., and Wang, X. (2022). Ultrasound-targeted microbubble destruction: Modulation in the tumor microenvironment and application in tumor immunotherapy. Front. Immunol. 13, 937344. doi:10.3389/fimmu.2022.937344
Ho, Y. J., Li, J. P., Fan, C. H., Liu, H. L., and Yeh, C. K. (2020). Ultrasound in tumor immunotherapy: Current status and future developments. J. Control. Release 323, 12–23. doi:10.1016/j.jconrel.2020.04.023
Ho, Y. J., Wang, T. C., Fan, C. H., and Yeh, C. K. (2017). Current progress in antivascular tumor therapy. Drug Discov. Today 22 (10), 1503–1515. doi:10.1016/j.drudis.2017.06.001
Ho, Y. J., Wang, T. C., Fan, C. H., and Yeh, C. K. (2018). Spatially uniform tumor treatment and drug penetration by regulating ultrasound with microbubbles. ACS Appl. Mater. Interfaces 10 (21), 17784–17791. doi:10.1021/acsami.8b05508
Ho, Y. J., and Yeh, C. K. (2017). Concurrent anti-vascular therapy and chemotherapy in solid tumors using drug-loaded acoustic nanodroplet vaporization. Acta Biomater. 49, 472–485. doi:10.1016/j.actbio.2016.11.018
Huang, J., Xiao, Z., An, Y., Han, S., Wu, W., Wang, Y., et al. (2021). Nanodrug with dual-sensitivity to tumor microenvironment for immuno-sonodynamic anti-cancer therapy. Biomaterials 269, 120636. doi:10.1016/j.biomaterials.2020.120636
Hunt, S. J., Gade, T., Soulen, M. C., Pickup, S., and Sehgal, C. M. (2015). Antivascular ultrasound therapy: Magnetic resonance imaging validation and activation of the immune response in murine melanoma. J. Ultrasound Med. 34 (2), 275–287. doi:10.7863/ultra.34.2.275
Jiang, Q., Qiao, B., Lin, X., Cao, J., Zhang, N., Guo, H., et al. (2022). A hydrogen peroxide economizer for on-demand oxygen production-assisted robust sonodynamic immunotherapy. Theranostics 12 (1), 59–75. doi:10.7150/thno.64862
Karan, D. (2018). Inflammasomes: Emerging central players in cancer immunology and immunotherapy. Front. Immunol. 9, 3028. doi:10.3389/fimmu.2018.03028
Karimi, M., Ghasemi, A., Sahandi Zangabad, P., Rahighi, R., Moosavi Basri, S. M., Mirshekari, H., et al. (2016). Smart micro/nanoparticles in stimulus-responsive drug/gene delivery systems. Chem. Soc. Rev. 45 (5), 1457–1501. doi:10.1039/c5cs00798d
Krombach, J., Hennel, R., Brix, N., Orth, M., Schoetz, U., Ernst, A., et al. (2019). Priming anti-tumor immunity by radiotherapy: Dying tumor cell-derived DAMPs trigger endothelial cell activation and recruitment of myeloid cells. Oncoimmunology 8 (1), e1523097. doi:10.1080/2162402X.2018.1523097
Li, J., Byrne, K. T., Yan, F., Yamazoe, T., Chen, Z., Baslan, T., et al. (2018). Tumor cell-intrinsic factors underlie heterogeneity of immune cell infiltration and response to immunotherapy. Immunity 49 (1), 178–193.e7. doi:10.1016/j.immuni.2018.06.006
Li, K., Zhang, A., Li, X., Zhang, H., and Zhao, L. (2021). Advances in clinical immunotherapy for gastric cancer. Biochim. Biophys. Acta Rev. Cancer 1876 (2), 188615. doi:10.1016/j.bbcan.2021.188615
Li, Z., Lai, X., Fu, S., Ren, L., Cai, H., Zhang, H., et al. (2022). Immunogenic cell death activates the tumor immune microenvironment to boost the immunotherapy efficiency. Adv. Sci. 9 (22), 2201734. doi:10.1002/advs.202201734
Liang, H., Deng, L., Hou, Y., Meng, X., Huang, X., Rao, E., et al. (2017). Host STING-dependent MDSC mobilization drives extrinsic radiation resistance. Nat. Commun. 8 (1), 1736. doi:10.1038/s41467-017-01566-5
Liu, S., Zhang, Y., Liu, Y., Wang, W., Gao, S., Yuan, W., et al. (2022a). Ultrasound-targeted microbubble destruction remodels tumour microenvironment to improve immunotherapeutic effect. Br. J. Cancer 128, 715–725. doi:10.1038/s41416-022-02076-y
Liu, Z., Cao, T., Xue, Y., Li, M., Wu, M., Engle, J. W., et al. (2020). Self-amplified photodynamic therapy through the (1) O2 -mediated internalization of photosensitizers from a ppa-bearing block copolymer. Angew. Chem. Int. Ed. Engl. 59 (9), 3711–3717. doi:10.1002/anie.201914434
Liu, Z., Zhang, Y., Shen, N., Sun, J., Tang, Z., and Chen, X. (2022b). Destruction of tumor vasculature by vascular disrupting agents in overcoming the limitation of EPR effect. Adv. Drug Deliv. Rev. 183, 114138. doi:10.1016/j.addr.2022.114138
Luke, J. J., Rutkowski, P., Queirolo, P., Del Vecchio, M., Mackiewicz, J., Chiarion-Sileni, V., et al. (2022). Pembrolizumab versus placebo as adjuvant therapy in completely resected stage IIB or IIC melanoma (KEYNOTE-716): A randomised, double-blind, phase 3 trial. Lancet 399 (10336), 1718–1729. doi:10.1016/S0140-6736(22)00562-1
Marciscano, A. E., and Anandasabapathy, N. (2021). The role of dendritic cells in cancer and anti-tumor immunity. Semin. Immunol. 52, 101481. doi:10.1016/j.smim.2021.101481
Morad, G., Helmink, B. A., Sharma, P., and Wargo, J. A. (2021). Hallmarks of response, resistance, and toxicity to immune checkpoint blockade. Cell. 184 (21), 5309–5337. doi:10.1016/j.cell.2021.09.020
Oun, R., Moussa, Y. E., and Wheate, N. J. (2018). The side effects of platinum-based chemotherapy drugs: A review for chemists. Dalton Trans. 47 (19), 6645–6653. doi:10.1039/c8dt00838h
Reck, M., Rodríguez-Abreu, D., Robinson, A. G., Hui, R., Csőszi, T., Fülöp, A., et al. (2021). Five-year outcomes with pembrolizumab versus chemotherapy for metastatic non–small-cell lung cancer with PD-L1 tumor proportion score ≥ 50%. J. Clin. Oncol. 39 (21), 2339–2349. doi:10.1200/jco.21.00174
Shen, Z. Y., Liu, C., Wu, M. F., Shi, H. F., Zhou, Y. F., Zhuang, W., et al. (2017). Spiral computed tomography evaluation of rabbit VX2 hepatic tumors treated with 20 kHz ultrasound and microbubbles. Oncol. Lett. 14 (3), 3124–3130. doi:10.3892/ol.2017.6557
Sirsi, S., and Borden, M. (2009). Microbubble compositions, properties and biomedical applications. Bubble Sci. Eng. Technol. 1 (1-2), 3–17. doi:10.1179/175889709X446507
Snipstad, S., Vikedal, K., Maardalen, M., Kurbatskaya, A., Sulheim, E., and Davies, C. d. L. (2021). Ultrasound and microbubbles to beat barriers in tumors: Improving delivery of nanomedicine. Adv. Drug Deliv. Rev. 177, 113847. doi:10.1016/j.addr.2021.113847
Somarribas Patterson, L. F., and Vardhana, S. A. (2021). Metabolic regulation of the cancer-immunity cycle. Trends Immunol. 42 (11), 975–993. doi:10.1016/j.it.2021.09.002
Song, Y., Gao, Q., Zhang, H., Fan, L., Zhou, J., Zou, D., et al. (2020). Treatment of relapsed or refractory classical hodgkin lymphoma with the anti-PD-1, tislelizumab: Results of a phase 2, single-arm, multicenter study. Leukemia 34 (2), 533–542. doi:10.1038/s41375-019-0545-2
Su, C., Liu, Y., Li, R., Wu, W., Fawcett, J. P., and Gu, J. (2019). Absorption, distribution, metabolism and excretion of the biomaterials used in Nanocarrier drug delivery systems. Adv. Drug Deliv. Rev. 143, 97–114. doi:10.1016/j.addr.2019.06.008
Su, Z., Xiao, Z., Huang, J., Wang, Y., An, Y., Xiao, H., et al. (2021). Dual-sensitive PEG-sheddable nanodrug hierarchically incorporating PD-L1 antibody and zinc phthalocyanine for improved immuno-photodynamic therapy. ACS Appl. Mater Interfaces 13 (11), 12845–12856. doi:10.1021/acsami.0c20422
Todorova, M., Agache, V., Mortazavi, O., Chen, B., Karshafian, R., Hynynen, K., et al. (2013). Antitumor effects of combining metronomic chemotherapy with the antivascular action of ultrasound stimulated microbubbles. Int. J. Cancer 132 (12), 2956–2966. doi:10.1002/ijc.27977
Wang, J., Zhao, Z., Shen, S., Zhang, C., Guo, S., Lu, Y., et al. (2015). Selective depletion of tumor neovasculature by microbubble destruction with appropriate ultrasound pressure. Int. J. Cancer 137 (10), 2478–2491. doi:10.1002/ijc.29597
Wu, Y., Sun, T., Tang, J., Liu, Y., and Li, F. (2020). Ultrasound-targeted microbubble destruction enhances the antitumor efficacy of doxorubicin in a mouse hepatocellular carcinoma model. Ultrasound Med. Biol. 46 (3), 679–689. doi:10.1016/j.ultrasmedbio.2019.09.017
Xi, F., Feng, Y., Chen, Q., Chen, L., and Liu, J. (2022). Microbubbles ultrasonic cavitation regulates tumor interstitial fluid pressure and enhances sonodynamic therapy. Front. Oncol. 12, 852454. doi:10.3389/fonc.2022.852454
Yadav, D., Kwak, M., Chauhan, P. S., Puranik, N., Lee, P. C. W., and Jin, J. O. (2022). Cancer immunotherapy by immune checkpoint blockade and its advanced application using bio-nanomaterials. Semin. Cancer Biol. 86 (2), 909–922. doi:10.1016/j.semcancer.2022.02.016
Yamaguchi, H., Hsu, J. M., Yang, W. H., and Hung, M. C. (2022). Mechanisms regulating PD-L1 expression in cancers and associated opportunities for novel small-molecule therapeutics. Nat. Rev. Clin. Oncol. 19 (5), 287–305. doi:10.1038/s41571-022-00601-9
Yi, M., Zheng, X., Niu, M., Zhu, S., Ge, H., and Wu, K. (2022). Combination strategies with PD-1/PD-L1 blockade: Current advances and future directions. Mol. Cancer 21 (1), 28. doi:10.1186/s12943-021-01489-2
Yin, Y., Jiang, X., Sun, L., Li, H., Su, C., Zhang, Y., et al. (2021). Continuous inertial cavitation evokes massive ROS for reinforcing sonodynamic therapy and immunogenic cell death against breast carcinoma. Nano Today 36, 101009. doi:10.1016/j.nantod.2020.101009
Yu, Y., Qiao, W., Feng, S., Yi, C., and Liu, Z. (2022). Inhibition of walker-256 tumor growth by combining microbubble-enhanced ultrasound and endostar. J. Ultrasound Med. 41 (10), 2591–2600. doi:10.1002/jum.15949
Yue, W., Chen, L., Yu, L., Zhou, B., Yin, H., Ren, W., et al. (2019). Checkpoint blockade and nanosonosensitizer-augmented noninvasive sonodynamic therapy combination reduces tumour growth and metastases in mice. Nat. Commun. 10 (1), 2025. doi:10.1038/s41467-019-09760-3
Zhang, J., Huang, D., Saw, P. E., and Song, E. (2022). Turning cold tumors hot: From molecular mechanisms to clinical applications. Trends Immunol. 43 (7), 523–545. doi:10.1016/j.it.2022.04.010
Zhang, W., Shou, W. D., Xu, Y. J., Bai, W. K., and Hu, B. (2017). Low-frequency ultrasound-induced VEGF suppression and synergy with dendritic cell-mediated anti-tumor immunity in murine prostate cancer cells in vitro. Sci. Rep. 7 (1), 5778. doi:10.1038/s41598-017-06242-8
Zhang, Y., and Zhang, Z. (2020). The history and advances in cancer immunotherapy: Understanding the characteristics of tumor-infiltrating immune cells and their therapeutic implications. Cell. Mol. Immunol. 17 (8), 807–821. doi:10.1038/s41423-020-0488-6
Keywords: immune checkpoint blockade, immune infiltration, antivascular therapy, cavitation, microbubble, low-intensity focused ultrasound
Citation: Wu N, Cao Y, Liu Y, Zhou Y, He H, Tang R, Wan L, Wang C, Xiong X, Zhong L and Li P (2023) Low-intensity focused ultrasound targeted microbubble destruction reduces tumor blood supply and sensitizes anti-PD-L1 immunotherapy. Front. Bioeng. Biotechnol. 11:1173381. doi: 10.3389/fbioe.2023.1173381
Received: 24 February 2023; Accepted: 04 April 2023;
Published: 17 April 2023.
Edited by:
Chengcheng Niu, Central South University, ChinaReviewed by:
Jianhua Zhou, Sun Yat-sen University Cancer Center (SYSUCC), ChinaWenwen Yue, Tongji University, China
Xi Wei, Tianjin Medical University Cancer Institute and Hospital, China
Copyright © 2023 Wu, Cao, Liu, Zhou, He, Tang, Wan, Wang, Xiong, Zhong and Li. 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: Pan Li, bGlwYW5AaG9zcGl0YWwuY3FtdS5lZHUuY24=