Skip to main content

SYSTEMATIC REVIEW article

Front. Oncol., 19 March 2021
Sec. Cancer Immunity and Immunotherapy
This article is part of the Research Topic Dynamic Biomarkers of Response to Anti-Immune Checkpoint Inhibitors in Cancer View all 25 articles

Efficacy of Anti-PD-1/PD-L1 Monotherapy or Combinational Therapy in Patients Aged 75 Years or Older: A Study-Level Meta-Analysis

Run-Cong Nie&#x;Run-Cong Nie1†Guo-Ming Chen&#x;Guo-Ming Chen1†Yun Wang&#x;Yun Wang2†Jie Zhou&#x;Jie Zhou3†Jin-Ling Duan&#x;Jin-Ling Duan3†Zhi-Wei Zhou*&#x;Zhi-Wei Zhou1*‡Shu-Qiang Yuan*&#x;Shu-Qiang Yuan1*‡
  • 1Department of Gastric Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
  • 2Department of Hematologic Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
  • 3Department of Experimental Research, Cancer Institute, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China

Recent trials have shown a promising anti-tumor activity for advanced cancer patients treated with PD-1/PD-L1 inhibitors; however, little is known on the use of PD-1/PD-L1 inhibitors in adults over 75 years of age. Here, we performed a study-level meta-analysis to compare the efficacy of anti-PD-1/PD-L1 agents between elderly (≥ 75 years) and non-elderly (< 75 years) patients. In the present study, we systematically reviewed phase 2/3 trials of PD-1/PD-L1 inhibitors of advanced solid tumors that reported treatment effect (hazard ratio [HR]) in patients based on age (≥ 75 years vs. < 75 years) and set anti-PD-1/PD-L1 monotherapy or combinational therapy as experimental arm. The HRs of OS and progression-free survival (PFS) are based on random-effect models. Overall, a total of eight qualifying trials comprising 5,393 subjects were included for meta-analysis, and 472 patients (8.8%) were aged 75 years or older. The overall estimated HR for OS was 0.70 (0.62–0.79) in patients < 75 years vs. 0.94 (0.67–1.30) in patients ≥ 75 years. Anti-PD-1/PD-L1 agents improved OS of melanoma patients in both elderly (HR 0.25 [0.10-0.60]) and non-elderly (HR 0.49 [0.33–0.71]) group. The OS difference in the efficacy of PD-1/PD-L1 inhibitors between elderly and non-elderly patients was significant (P = 0.043 for interaction). The overall estimated HR for PFS was 0.77 (0.60–1.00) in patients < 75 years vs. 0.97 (0.60–1.58) in patients ≥ 75 years. Therefore, with the exception of melanoma, elderly patients (≥ 75 years) could not benefit from the anti-PD-1/PD-L1 agents in survival, and toxicity profile of anti-PD-1/PD-L1 drugs should be explored in this population.

Introduction

Recently, the advent of immune checkpoint inhibitors (ICIs) has tremendously revolutionized the landscape of cancer treatment. Monoclonal antibodies targeting the programmed cell death 1 (PD-1) or its ligand, programmed death ligand 1 (PD-L1), have been demonstrated to induce remarkable survival outcomes in a wide range of advanced malignancies (110). So far, the FDA has approved anti-PD-1/PD-L1 agents and their combinations for treatment of more than 13 cancer types and mismatch repair deficiency or microsatellite instable-high solid tumors (11). However, although cancer predominantly affects older adults (12), there is a lack of consensus on the efficacy of anti-PD-1/PD-L1 immunotherapy in this geriatric population (13).

It had been reported that aging is accompanied by decreased or dysregulation of immunity (1416), which can theoretically blunt the efficacy of the PD-1/PD-L1 inhibitors. There have no prospective clinical trials focused specifically on the use of PD-1/PD-L1 inhibitors in elderly patients, which was mainly due to concerns about the safety profile. Elias et al. (17) also reported that PD-1/PD-L1 inhibitors had similar therapeutic effect in younger and older patients, with an age cutoff of 65 years. With the aging of society, average human lifespan has dramatically increased across the globe (12), with life expectancy higher than 75 years, and the therapeutic effect of PD-1/PD-L1 inhibitors in patients aged 75 years or older was still unknown. Therefore, we conducted a study-level meta-analysis to compare the efficacy of anti-PD-1/PD-L1 agents between elderly (≥ 75 years) and non-elderly (< 75 years) patients.

Methods

Search Strategy and Study Selection

This study was conducted in compliance with Cochrane Handbook for Systematic Reviews of Interventions recommendations and was reported based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement guidelines (18).

We conducted a comprehensive systematic search of Medline (PubMed), Embase, ClinicalTrials.gov and Cochrane Library databases from inception to November 2019 using the following key words: “pembrolizumab”, “nivolumab”, “avelumab”, “atezolizumab”, “durvalumab”, and “immune checkpoint inhibitor”, limiting to phase 2 trials and phase 3 trials. The 2019 ASCO meeting and 2019 ESMO congress were also searched for the additional studies. The terms of the search strategy were shown in Doc S1 (Supplementary Materials). The clinical trials should meet the following criteria: (1) phase 2 and phase 3 randomized controlled trials (RCTs) of advanced solid tumors; (2) studies that assigned participants to PD-1/PD-L1 inhibitors or non-PD-1/PD-L1 inhibitors, and set anti-PD-1/PD-L1 monotherapy or combinational therapy as experimental arms; (3) subgroup comparisons of overall survival (OS) using a hazard ratio (HR) based on the age (≥ 75 years versus < 75 years). Two independent authors (RCN and YFL) screened the titles and abstracts of the reports to identify the potential articles, and then assessed the eligibility of the full texts of these relevant articles. The references of the relevant trials were also reviewed through hand-searching strategy.

Data Extraction

Two reviewers (RCN and YFL) extracted the following data: first author’s name, study number, accrual period, phase of study, included population, line of therapy, treatment strategy, number of patients by age, median follow-up duration, HR for OS and for progression-free survival (PFS) based on the age. The discrepancies in the literature search and data extraction were resolved by consensus.

We also used the MSKCC immunotherapy cohort (19) to further explore the tumor mutation burden (TMB) and survival outcomes according to the age through cBioPortal website (https://www.cbioportal.org/). We extracted the data of anti-PD1 monotherapy or combination therapy of the specified cancer types that were included in the meta-analysis.

Data Synthesis and Analysis

In our study, the primary outcome was to evaluate OS between elderly and non-elderly patients treated with PD-1/PD-L1 inhibitors. The secondary outcome was to compare the PFS between elderly and non-elderly patients. The measures of OS and PFS were quantified by the HR with the corresponding 95% confidence intervals (CI). The heterogeneity among trials was examined using Cochran Q statistic, and quantified by I2 index. The heterogeneity was considered significant for P < 0.1 and I2 < 50%. All the pooled HR of this meta-analysis was calculated through random effects model because of the potential heterogeneity among the included trials. For studies that reported the HR estimates for < 65 and 65–75 years separately, we combined the estimate (< 75 years) using a random effects model. An interaction test was used to evaluate the heterogeneity of efficacy between subgroups, which was expressed as P for interaction to quantify the potential publication bias. Regarding the MSKCC immunotherapy cohort, TMB and OS based on the age were compared by t-test and log-rank test, respectively. All the statistical analyses were performed using Stata version 13.0 (StataCorp, College Station, TX) and R version 3.6.2 (https://www.r-project.org/). Statistical significance was considered as P < 0.05.

Results

Search Results and Patient Characteristics

Initially, a total of 763 relevant publications matched our basic search strategy. After screening the titles and abstracts of these publications, 75 studies were reviewed the full-text for eligibility. Sixty-seven of those 75 articles were excluded since they did not report the OS subgroup by age with the cutoff 75 years (Figure 1). Finally, a total of eight phase 3 trials (1, 8, 2025) were included for meta-analysis, among which four investigated nivolumab, two investigated the combination of nivolumab plus ipilimumab, one investigated pembrolizumab, and one investigated avelumab. The underlying malignancies comprised were non-small-cell lung cancer (four trials), renal-cell carcinoma (two trials), melanoma (one trial), and head and neck cancer (one trial). There were six trials of anti-PD-1/PD-L1 monotherapy and two trials of anti-PD-1/PD-L1 plus anti-CTLA therapy as the experimental arms. A total of 5,393 patients (intervention: 2,698; control: 2,695) were included, and 472 patients (8.8%) were aged 75 years or older. The baseline characteristics of each trial are presented in Table 1. A funnel plot was performed to assess the publication bias, which showed a symmetric distribution of studies on either side of the funnel. The Begg and Egger test also indicated no obvious publication bias (P = 0.071; Figure S1).

FIGURE 1
www.frontiersin.org

Figure 1 Study flow diagram. OS, overall survival; PD-1, programmed death 1; PD-L1, programmed death-ligand 1.

TABLE 1
www.frontiersin.org

Table 1 Characteristics of the included trials.

Primary Outcome: Overall Survival

The primary outcome is OS in trials comparing PD-1/PD-L1 inhibitors with control agents. The HR of each trial and the pooled result based on the random effects model are shown in Figure 2. Overall, the estimated HR is 0.73 (95% CI: 0.65 to 0.81) (P < 0.001), suggesting that PD-1/PD-L1 inhibitors reduced the risk of death by 27% compared with control treatments. Patients were then dichotomized into elderly and non-elderly groups with the cutoff of 75 years. For non-elderly patients, the estimated HR for OS showed significant difference between PD-1/PD-L1 inhibitors and control agents (HR, 0.70; 95% CI: 0.62 to 0.79; P < 0.001; Figure 3A). For this subgroup, no significant heterogeneity was observed among individual trials (I2 = 38.7%, chi-squared P = 0.122). For elderly patients, no significant heterogeneity was observed (I2 = 41.1%, chi-squared P = 0.104), and all studies reported no OS benefit for PD-1/PD-L1 inhibitors except for the CheckMate 066, which explored the efficacy of nivolumab in melanoma (22); the overall estimated HR was 0.94 (95% CI: 0.67 to 1.30; P = 0.696; Figure 3B). Furthermore, we observed a significant heterogeneity of efficacy between elderly and non-elderly patients concerning the pooled HRs for OS (P = 0.043 for interaction), which indicated that the effects of the anti-PD-1/PD-L1 therapy on OS varied for the elderly and non-elderly adults (Table 2). Subgroup stratified by anti-PD-1/PD-L1 monotherapy and anti-PD-1/PD-L1 combinational therapy showed the similar results (Table S1). Moreover, we found that the estimated HR for OS was 0.68 (95% CI: 0.59 to 0.77; P < 0.001; Figure S2) in patients aged 65-75 years.

FIGURE 2
www.frontiersin.org

Figure 2 Forest plot of hazard ratio for overall survival. CI, confidence interval; PD-1, programmed death 1; PD-L1, programmed death-ligand 1.

FIGURE 3
www.frontiersin.org

Figure 3 Forest plot of hazard ratio for overall survival in patients < 75 years (A) and ≥ 75 years (B). CI, confidence interval; PD-1, programmed death 1; PD-L1, programmed death-ligand 1.

TABLE 2
www.frontiersin.org

Table 2 Summary of HR for PFS and OS by age.

Secondary Outcome: Progression-Free Survival

The secondary outcome is PFS in trials comparing PD-1/PD-L1 inhibitors with control agents. Of the eight included trials, eight reported HR for overall PFS, and four reported HR for PFS based on the age group. Overall, the estimated HR for PFS is 0.76 (95% CI: 0.63 to 0.92; P = 0.005; Figure 4), indicating of 24% reduction of the risk of progression treated with anti-PD-1/PD-L1 agents. Using the random effects model, the measures of PFS of the non-elderly patients favored anti-PD-1/PD-L1 therapy for a HR of 0.77 (95% CI: 0.60 to 1.00; P = 0.054; Figure 5A). There was significant heterogeneity among individual trials (I2 = 74.9%, chi-squared P = 0.008). However, for elderly patients, the PFS was not different between PD-1/PD-L1 inhibitors and controls (HR, 0.97; 95% CI: 0.60 to 1.58; P = 0.898; Figure 5B). No difference between elderly and non-elderly subsets was observed regarding the estimated HR for PFS (P = 0.433 for interaction) (Table 2).

FIGURE 4
www.frontiersin.org

Figure 4 Forest plot of hazard ratio for progression-free survival. CI, confidence interval; PD-1, programmed death 1; PD-L1, programmed death-ligand 1.

FIGURE 5
www.frontiersin.org

Figure 5 Forest plot of hazard ratio for progression-free survival in patients < 75 years (A) and ≥ 75 years (B). CI, confidence interval; PD-1, programmed death 1; PD-L1, programmed death-ligand 1.

Tumor Mutation Burden

Finally, we extracted the patients with non-small-cell lung cancer, renal-cell carcinoma, head and neck cancer and melanoma to explore the TMB differences between elderly and non-elderly patients in the MSKCC immunotherapy cohort (19). A total of 845 patients treated with PD-1/PD-L1 inhibitors were included. For non-melanoma cohort, the TMB between elderly and non-elderly patients was not significant (median TMB: 6.89 [0–33.45] vs 5.27 [0–100.37]; P = 0.230; Figure 6A), and elderly patients were associated with shorted OS (HR, 1.35; 95% CI: 1.02 to 1.78; P = 0.038; Figure 6B). Interesting, for melanoma cohort, elderly patients had higher TMB than non-elderly patients (median TMB: 15.74 [0–33.45] vs 7.87 [0–100.37]; P = 0.012; Figure 6C), and comparable OS with non-elderly patients (HR, 1.39; 95% CI: 0.87 to 2.22; P = 0.171; Figure 6D).

FIGURE 6
www.frontiersin.org

Figure 6 Comparisons of the tumor mutation burden and OS based on the age (< 75 years vs. ≥ 75 years) in non-melanoma (A, B) and melanoma patients (C, D) of the MSKCC immunotherapy cohort (19). CI, confidence interval; HR, hazard ratio.

Discussion

The aging phenomenon is one of the most significant global challenges today, which would accompany with age-related disease, such as increasing incidence of cancer. Aging is associated with the immune dysfunction that may affect the efficacy of PD-1/PD-L1 inhibitors (14, 15, 26, 27). Consequently, we performed this first meta-analysis of eight RCTs that comprised 5393 patients to explore the efficacy of PD-1/PD-L1 inhibitors in patients ≥ 75 years with metastatic cancer compared to those < 75 years. Overall, our finding suggested that the impact of PD-1/PD-L1 inhibitors significantly improved the OS (HR 0.70 [0.62–0.79] vs. 0.94 [0.67–1.30]) and PFS (HR 0.77 [0.60–1.00] vs. 0.97 [0.60–1.58]) in the non-elderly patients rather than elderly patients. Parallel results were confirmed in both monotherapy and combinational therapy. Melanoma patients aged 75 years or older can still benefit from PD-1/PD-L1 inhibitors.

Only two previous literatures attempt to review the topic of geriatric population in PD-1/PD-L1 inhibitors (17, 28). Nishijima et al. (28) compared the efficacy of ICIs between younger and older patients. However, only four of their included trials (eight trials) were anti-PD-1 trials. They concluded that a benefit in OS with ICIs was observed in both younger (HR, 0.75; 95% CI, 0.68–0.82) and older (HR, 0.73; 95% CI, 0.62–0.87) patients, but it should be noted that the age cutoff of this study was non-uniform (65–70 years). Elias et al. (17) also reported that anti-PD-1/PD-L1 agents had similar therapeutic effect in younger and older patients. Nonetheless, this analysis dichotomized patients into younger and older with an age cutoff of 65 years. Initially, we also found that patients aged 65–75 years could still benefit from PD-1/PD-L1 inhibitors. With the aging of society, adults over 75 years of age contribute more than 25% of the new cancer cases annually (12). Therefore, it is critical to clarify the efficacy of PD-1/PD-L1 inhibitors specific to patients aged 75 years or older. In contrary to the previous meta-analysis, we observed the better survival outcomes only in patients < 75 years, but not in patients ≥ 75 years. It had been reported that aging is associated with immune dysregulation, such as the decreased TCR diversity in CD4+ T cells (14) and CD8+ T cells (15), but not the T-cell immunosenescence (29). In addition, aging-associated adipocyte accumulation in the bone marrow also contributes to reduced hematopoiesis with age (30), and hematopoiesis becomes skewed toward myeloid and away from lymphoid lineages with age (16). Moreover, aging is associated with increased M2 polarization (26). Thus, the hypothesis of immunosenescence, the age-related decline in host immunity, may explain the invalid efficacy of PD-1/PD-L1 inhibitors in patients ≥ 75 years.

Among the eight included trials, the CheckMate 066 (22) study reported the OS outcomes of melanoma for the age groups of 75 years. Notably, we found that a significant improvement in OS was still observed in melanoma patients aged 75 years or older (HR, 0.25; 95% CI, 0.10–0.62; Figure 3B). Betof et al. (31) reported the survival outcomes of 254 patients with metastatic melanoma treated with anti-PD-1/PD-L1 agents, and found that the OS and PFS of patients ≥ 75 years were comparable to those with age < 75 years. Additionally, the safety profiles were also similar. In the present study, we also used the MSKCC immunotherapy cohort (19) to further explore the underlying mechanism of age based efficacy difference in term of TMB (Figure 6). Interestingly, an increased TMB was observed in the elderly patient with melanoma; this increased TMB may restore the age-related immune dysfunction of melanoma, thus leading to the comparable immunity between patients younger and older than 75 years.

Our study has several potential limitations. First, we observed heterogeneity among the included trials, which was mainly due to the multiple cancer types among the included trials. Thus, we minimized its influence through the random effects model for quantitative synthesis. However, the conclusion of this study still cannot be expanded to all solid tumor types. Second, although our work contributes the best level of evidence showing an age-based (≥ 75 years vs. < 75 years) efficacy difference for anti-PD-1/PD-L1 agents, this is a meta-analysis at study-level in essence. A meta-analysis at individual level should be performed to further validate the impact of age on the efficacy of anti-PD-1/PD-L1 agents. Third, the toxicities difference between elderly and non-elderly patient could not be analyzed because of lack of report. The toxicity profile might influence the therapeutic choice between anti-PD-1/PD-L1 agents or standard chemotherapy in elderly patients. Finally, elderly patients enrolled in clinical trials were a selected population with good performance status at academic hospitals. These selected elderly patients do not represent the real medical conditions of the elderly adults. Therefore, whether our findings applicable to patients treated in the community remains further validation.

In conclusion, our study suggested that the use of anti-PD-1/PD-L1 significantly improved the survival of patients aged < 75 years, but not those aged ≥ 75 years. This is mainly due to a potential interaction of immunosenescence and efficacy of anti-PD-1/PD-L1 drugs. An improved OS was still observed in melanoma patients aged ≥ 75 years, owing to the increased TMB in the elderly melanoma patients. Overall, our study indicated that, with the exception of melanoma, elderly patients (≥ 75 years) could not benefit from the anti-PD-1/PD-L1 agents in survival, and toxicity profile of anti-PD-1/PD-L1 drugs should be explored in this population.

Data Availability Statement

The datasets generated for this study are available on request to the corresponding authors.

Author Contributions

All authors contributed to the study concept and design. R-CN and G-MC extracted the data and performed the quality assessment. R-CN, YW and JZ participated in analysis of the data. R-CN, YW, J-LD and JZ contributed to drafting of the manuscript. S-QY and Z-WZ revised the manuscript. All authors contributed to the article and approved the submitted version.

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.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2021.538174/full#supplementary-material

References

1. Borghaei H, Paz-Ares L, Horn L, Spigel DR, Steins M, Ready NE, et al. Nivolumab versus Docetaxel in Advanced Nonsquamous Non-Small-Cell Lung Cancer. N Engl J Med (2015) 373:1627–39. doi: 10.1056/NEJMoa1507643

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Ribas A, Puzanov I, Dummer R, Schadendorf D, Hamid O, Robert C, et al. Pembrolizumab versus investigator-choice chemotherapy for ipilimumab-refractory melanoma (KEYNOTE-002): a randomised, controlled, phase 2 trial. Lancet Oncol (2015) 16:908–18 doi: 10.1016/S1470-2045(15)00083-2.

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Wolchok JD, Chiarion-Sileni V, Gonzalez R, Rutkowski P, Grob JJ, Cowey CL, et al. Overall Survival with Combined Nivolumab and Ipilimumab in Advanced Melanoma. N Engl J Med (2017) 377:1345–56 doi: 10.1056/NEJMoa1709684.

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Antonia SJ, Villegas A, Daniel D, Vicente D, Murakami S, Hui R, et al. Overall Survival with Durvalumab after Chemoradiotherapy in Stage III NSCLC. N Engl J Med (2018) 379:2342–50 doi: 10.1056/NEJMoa1809697.

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Larkin J, Minor D, D’Angelo S, Neyns B, Smylie M, Miller WH Jr, et al. Overall Survival in Patients With Advanced Melanoma Who Received Nivolumab Versus Investigator’s Choice Chemotherapy in CheckMate 037: A Randomized, Controlled, Open-Label Phase III Trial. J Clin Oncol (2018) 36:383–90. doi: 10.1200/JCO.2016.71.8023

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Paz-Ares L, Luft A, Vicente D, Tafreshi A, Gümüş M, Mazières J, et al. Pembrolizumab plus Chemotherapy for Squamous Non-Small-Cell Lung Cancer. N Engl J Med (2018) 379:2040–51. doi: 10.1056/NEJMoa1810865

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Schmid P, Adams S, Rugo HS, Schneeweiss A, Barrios CH, Iwata H, et al. Atezolizumab and Nab-Paclitaxel in Advanced Triple-Negative Breast Cancer. N Engl J Med (2018) 379:2108–21. doi: 10.1056/NEJMoa1809615

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Cohen EEW, Soulières D, Le Tourneau C, Dinis J, Licitra L, Ahn MJ, et al. Pembrolizumab versus methotrexate, docetaxel, or cetuximab for recurrent or metastatic head-and-neck squamous cell carcinoma (KEYNOTE-040): a randomised, open-label, phase 3 study. Lancet (2019) 393:156–67 doi: 10.1016/S0140-6736(18)31999-8.

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Motzer RJ, Penkov K, Haanen J, Rini B, Albiges L, Campbell MT, et al. Avelumab plus Axitinib versus Sunitinib for Advanced Renal-Cell Carcinoma. N Engl J Med (2019) 380:1103–15. doi: 10.1056/NEJMoa1816047

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Reck M, Rodriguez-Abreu D, Robinson AG, Hui R, Csőszi T, Fülöp A, et al. Updated Analysis of KEYNOTE-024: Pembrolizumab Versus Platinum-Based Chemotherapy for Advanced Non-Small-Cell Lung Cancer With PD-L1 Tumor Proportion Score of 50% or Greater. J Clin Oncol (2019) 37:537–46. doi: 10.1200/JCO.18.00149

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Ribas A, Wolchok JD. Cancer immunotherapy using checkpoint blockade. Science (2018) 359:1350–5. doi: 10.1126/science.aar4060

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Huang J, Mo H, Zhang W, Chen X, Qu D, Wang X, et al. Promising efficacy of SHR-1210, a novel anti-programmed cell death 1 antibody, in patients with advanced gastric and gastroesophageal junction cancer in China. Cancer (2019) 125:742–9. doi: 10.1002/cncr.31855

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Elias R, Karantanos T, Sira E, Hartshorn KL. Immunotherapy comes of age: Immune aging & checkpoint inhibitors. J Geriatr Oncol (2017) 8:229–35. doi: 10.1016/j.jgo.2017.02.001

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Naylor K, Li G, Vallejo AN, Lee WW, Koetz K, Bryl E, et al. The influence of age on T cell generation and TCR diversity. J Immunol (2005) 174:7446–52. doi: 10.4049/jimmunol.174.11.7446

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Pfister G, Weiskopf D, Lazuardi L, Kovaiou RD, Cioca DP, Keller M, et al. Naive T cells in the elderly: are they still there? Ann N Y Acad Sci (2006) 1067:152–7. doi: 10.1196/annals.1354.018

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Beerman I, Bhattacharya D, Zandi S, Sigvardsson M, Weissman IL, Bryder D, et al. Functionally distinct hematopoietic stem cells modulate hematopoietic lineage potential during aging by a mechanism of clonal expansion. Proc Natl Acad Sci U S A (2010) 107:5465–70. doi: 10.1073/pnas.1000834107

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Elias R, Giobbie-Hurder A, McCleary NJ, Ott P, Hodi FS, Rahma O. Efficacy of PD-1 & PD-L1 inhibitors in older adults: a meta-analysis. J Immunother Cancer (2018) 6:26. doi: 10.1186/s40425-018-0336-8

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JP, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ (2009) 339:b2700. doi: 10.1136/bmj.b2700

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Samstein RM, Lee CH, Shoushtari AN, Hellmann MD, Shen R, Janjigian YY, et al. Tumor mutational load predicts survival after immunotherapy across multiple cancer types. Nat Genet (2019) 51:202–6 doi: 10.1038/s41588-018-0312-8.

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Brahmer J, Reckamp KL, Baas P, Crinò L, Eberhardt WE, Poddubskaya E, et al. Nivolumab versus Docetaxel in Advanced Squamous-Cell Non-Small-Cell Lung Cancer. N Engl J Med (2015) 373:123–35. doi: 10.1056/NEJMoa1504627

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Motzer RJ, Escudier B, McDermott DF, George S, Hammers HJ, Srinivas S, et al. Nivolumab versus Everolimus in Advanced Renal-Cell Carcinoma. N Engl J Med (2015) 373:1803–13. doi: 10.1056/NEJMoa1510665

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Robert C, Long GV, Brady B, Dutriaux C, Maio M, Mortier L, et al. Nivolumab in previously untreated melanoma without BRAF mutation. N Engl J Med (2015) 372:320–30 doi: 10.1056/NEJMoa1412082.

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Barlesi F, Vansteenkiste J, Spigel D, Ishii H, Garassino M, de Marinis F, et al. Avelumab versus docetaxel in patients with platinum-treated advanced non-small-cell lung cancer (JAVELIN Lung 200): an open-label, randomised, phase 3 study. Lancet Oncol (2018) 19:1468–79 doi: 10.1016/S1470-2045(18)30673-9.

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Motzer RJ, Tannir NM, McDermott DF, Arén Frontera O, Melichar B, Choueiri TK, et al. Nivolumab plus Ipilimumab versus Sunitinib in Advanced Renal-Cell Carcinoma. N Engl J Med (2018) 378:1277–90 doi: 10.1056/NEJMoa1712126.

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Hellmann MD, Paz-Ares L, Bernabe Caro R, Zurawski B, Kim SW, Carcereny Costa E, et al. Nivolumab plus Ipilimumab in Advanced Non-Small-Cell Lung Cancer. N Engl J Med (2019) 381:2020–31 doi: 10.1056/NEJMoa1910231.

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Mahbub S, Deburghgraeve CR, Kovacs EJ. Advanced age impairs macrophage polarization. J Interferon Cytokine Res (2012) 32:18–26. doi: 10.1089/jir.2011.0058

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Kugel CH 3rd, Douglass SM, Webster MR, Kaur A, Liu Q, Yin X, et al. Age Correlates with Response to Anti-PD1, Reflecting Age-Related Differences in Intratumoral Effector and Regulatory T-Cell Populations. Clin Cancer Res (2018) 24:5347–56. doi: 10.1158/1078-0432.CCR-18-1116

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Nishijima TF, Muss HB, Shachar SS, Moschos SJ. Comparison of efficacy of immune checkpoint inhibitors (ICIs) between younger and older patients: A systematic review and meta-analysis. Cancer Treat Rev (2016) 45:30–7. doi: 10.1016/j.ctrv.2016.02.006

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Ferrara R, Naigeon M, Auclin E, Duchemann B, Cassard L, Jouniaux JM, et al. Circulating T-cell Immunosenescence in Patients with Advanced Non-small Cell Lung Cancer Treated with Single-agent PD-1/PD-L1 Inhibitors or Platinum-based Chemotherapy. Clin Cancer Res (2021) 27:492–503. doi: 10.1158/1078-0432.CCR-20-1420

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Ambrosi TH, Scialdone A, Graja A, Gohlke S, Jank AM, Bocian C, et al. Adipocyte Accumulation in the Bone Marrow during Obesity and Aging Impairs Stem Cell-Based Hematopoietic and Bone Regeneration. Cell Stem Cell (2017) 20:771–84.e776. doi: 10.1016/j.stem.2017.02.009

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Betof AS, Nipp RD, Giobbie-Hurder A, Johnpulle RAN, Rubin K, Rubinstein SM, et al. Impact of Age on Outcomes with Immunotherapy for Patients with Melanoma. Oncologist (2017) 22:963–71. doi: 10.1634/theoncologist.2016-0450

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: programmed cell death 1 (PD-1), PD-L1, age, efficacy, overall survival

Citation: Nie R-C, Chen G-M, Wang Y, Zhou J, Duan J-L, Zhou Z-W and Yuan S-Q (2021) Efficacy of Anti-PD-1/PD-L1 Monotherapy or Combinational Therapy in Patients Aged 75 Years or Older: A Study-Level Meta-Analysis. Front. Oncol. 11:538174. doi: 10.3389/fonc.2021.538174

Received: 02 March 2020; Accepted: 01 February 2021;
Published: 19 March 2021.

Edited by:

Taha Merghoub, Memorial Sloan Kettering Cancer Center, United States

Reviewed by:

Marie-Andree Forget, University of Texas MD Anderson Cancer Center, United States
Diego Salas Benito, University Clinic of Navarra, Spain

Copyright © 2021 Nie, Chen, Wang, Zhou, Duan, Zhou and Yuan. 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: Shu-Qiang Yuan, yuanshq@sysucc.org.cn; Zhi-Wei Zhou, zhouzhw@sysucc.org.cn

These authors have contributed equally to this work

These authors share senior 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.