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SYSTEMATIC REVIEW article

Front. Oncol., 11 September 2025

Sec. Cancer Immunity and Immunotherapy

Volume 15 - 2025 | https://doi.org/10.3389/fonc.2025.1590017

This article is part of the Research TopicMechanisms of Resistance to Immunotherapy and Targeted Therapy and Predictive Biomarkers in Non-small Cell Lung CancerView all 8 articles

The benefits and risks of adding PD-1/PD-L1 inhibitors to chemotherapy for stage IIIb-IV non-small-cell lung cancer: an updated meta-analysis based on phase 3 randomized controlled trials

Yun XuYun Xu1Baoliang ZhongBaoliang Zhong2Chunlin YuChunlin Yu2Qingjian HouQingjian Hou1Wenying ChenWenying Chen1Wen ZhengWen Zheng1Wenxiong ZhangWenxiong Zhang3Tonggang Zhou*Tonggang Zhou2*
  • 1Department of Oncology, Shangrao People’s Hospital, Shangrao, China
  • 2Department of Interventional Therapy, Ganzhou People’s Hospital, Ganzhou, China
  • 3Department of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China

Background: Previous research has confirmed that integrating PD-1/PD-L1 inhibitors with chemotherapy (PC) represents a more effective strategy for treating advanced non-small-cell lung cancer (NSCLC). However, with the increasing number of phase 3 randomized controlled trials (RCTs) published in recent years, it is essential to re-evaluate the validity of this conclusion and to comprehensively assess the efficacy and safety across diverse patient subgroups.

Methods: We systematically reviewed phase 3 RCTs comparing PC with chemotherapy alone for stage IIIb-IV NSCLC. Data were extracted and analyzed for overall survival (OS), progression-free survival (PFS), response rates, and adverse events (AEs). Subgroup analyses were performed based on factors such as disease stage, pathological type, etc.

Results: After screening, 19 phase 3 RCTs involving 9335 patients were included. Our updated analysis confirmed at PC therapy significantly improves OS (hazard ratio [HR]: 0.73 [0.69, 0.77], P < 0.00001), PFS (HR: 0.56 [0.52, 0.60], P < 0.00001), duration of response (DOR, HR: 0.50 [0.45, 0.54], P < 0.00001) and objective response rate (ORR, risk ratio [RR]: 1.59 [1.51, 1.67], P < 0.00001) compared to chemotherapy alone. The survival benefits were consistent across all subgroups and increases with longer follow-up. Brain metastases and PD-L1 combined positive score (CPS) > 50% were the favorable factors for PC group. However, the combined treatment was associated with an increased incidence of total/grade 3–5 treatment emergent AEs (TEAEs), and immune-related AEs (irAEs), although the overall safety profile remained manageable. The most common AEs in the PC group were blood toxicity related AEs (anemia, neutrophil count decreased, etc).

Conclusion: The PC therapy continues to provide a substantial survival benefit for patients with stage IIIb-IV NSCLC. However, its higher incidence of AEs, especially irAEs, needs to be taken seriously.

Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251005925, identifier CRD420251005925.

Introduction

Non-small cell lung cancer (NSCLC) is a leading cause of cancer-related mortality globally, with advanced-stage disease often presenting limited treatment options and poor survival outcomes (1). One of the major challenges in current NSCLC treatment is the development of primary and acquired resistance to both chemotherapy and targeted therapies, which often leads to treatment failure. Moreover, conventional chemotherapy alone is limited by modest survival benefits and cumulative toxicity, while targeted therapies are only applicable to subsets of patients with specific driver mutations (2). The emergence of immune checkpoint inhibitors (ICIs), particularly those targeting the PD-1/PD-L1 pathway, has transformed the therapeutic landscape for advanced NSCLC. The rationale behind the PC regimen lies in its potential to overcome these limitations: chemotherapy not only reduces tumor burden but may also induce immunogenic cell death, thereby enhancing tumor antigen presentation, while PD-1/PD-L1 inhibitors restore T cell activity and help to counteract immune evasion and resistance mechanisms. By enhancing the immune system’s antitumor activity, these agents have demonstrated significant improvements in overall survival (OS) and progression-free survival (PFS) when administered in combination with chemotherapy (3).

However, the field is rapidly evolving, with numerous new phase 3 randomized controlled trials (RCTs) continually refining our understanding of these combinations (47). Recent studies have examined their efficacy across diverse patient subgroups, including those with varying PD-L1 expression levels, different histologic subtypes, and specific genetic mutations (47). While some trials reaffirm the superiority of PD-1/PD-L1 inhibitors combined with chemotherapy (PC), others report more nuanced outcomes, particularly in patients with low or negative PD-L1 expression, raising questions about universal applicability (8, 9). Meanwhile, safety remains a critical consideration. Immune-related adverse events (irAEs), such as pneumonitis and colitis, are well-documented risks of ICIs and may be exacerbated when combined with chemotherapy (10). Elderly patients and those with pre-existing autoimmune conditions are particularly susceptible, necessitating a careful evaluation of the risk-benefit profile in these populations (11).

Given the growing body of evidence, an updated meta-analysis is warranted to synthesize findings from recent phase 3 RCTs and provide a comprehensive evaluation of the benefits and risks of PC. This analysis aims to address key questions: (1) Does this combination continue to outperform chemotherapy alone in advanced NSCLC? (2) How do efficacy and safety profiles vary across patient subgroups? (3) What are the most frequent and severe adverse events (AEs) associated with these regimens? By integrating data from recent phase 3 RCTs, this meta-analysis seeks to offer evidence-based insights into optimizing treatment strategies for advanced NSCLC, ensuring that the benefits of these novel therapies are maximized while minimizing risks.

Materials and methods

Search strategy

Keywords including “PD-1/PD-L1 inhibitors”, “Lung cancer”, and “Randomized” were used in the search process. Six major databases-PubMed, ScienceDirect, Cochrane Library, Scopus, EMBASE, and Web of Science-were systematically searched. The investigation covered all available records from the inception of these databases up to February 13, 2025 (Supplementary Table S1).

Selection criteria

The inclusion criteria: (1) Participants: patients diagnosed with stage IIIb-IV NSCLC; (2) Intervention and control: PC compared to chemotherapy; (3) Outcomes: survival, response rates, and AEs; (4) Study design: phase 3 RCTs.

We excluded studies if they were retrospective studies, letters, review articles, editorials, and conference abstracts.

Data extraction

Two investigators independently collected data on study details (registration No., study name, etc), patient characteristics (age, pathological type, etc), survival outcomes (OS, PFS, etc), response rates (duration of response [DOR], objective response rate [ORR], etc), and AEs (treatment emergent AEs [TEAEs], irAEs, etc). In cases of missing data, corresponding authors were contacted for clarification, and discrepancies were resolved through re-evaluation by the investigators.

Outcome assessments

OS and PFS were subgroup analyzed based on age, sex, race, ECOG PS, smoking status, pathological type, stage, brain metastases, liver metastases, PD-L1 combined positive score (CPS), PD-1/PD-L1 inhibitors type, and platinum chemotherapy type. If specific subgroup data were missing in individual studies, those studies were excluded from the relevant subgroup analysis but remained in the overall analyses. The survival rates of OS (OSR) and PFS (PFSR) were evaluated at 6 to 60 months, and the duration of response rate (DORR) were assessed at 6 to48 months.

Quality assessment

Two instruments, the Cochrane Risk Assessment Tool and the Jadad scale, were used to assess the methodological quality of RCTs. The Jadad scale employs a 7-point scoring method, with scores ranging from 4 to 7 indicating high-quality studies (12, 13). Additionally, the outcomes were analyzed using the GRADE framework, which classifies evidence into four distinct levels: high, moderate, low, and very low (14).

Statistical analysis

STATA 12.0 and Review Manager 5.3 were used to perform data analysis. For survival outcomes, hazard ratios (HR) were used, whereas risk ratios (RR) were utilized for dichotomous data. Different articles from the same trial were considered only if they reported distinct outcomes, while for the same outcome we used the most recent or most complete dataset. A fixed-effects model was used for low heterogeneity (I² < 50% or P > 0.1), whereas a random-effects model was applied when heterogeneity was higher. Meanwhile, for outcomes exhibiting substantial heterogeneity, sensitivity analyses were also conducted by sequentially excluding individual studies to evaluate the robustness of the pooled estimates. A P-value below 0.05 was considered statistically significant. Publication bias was examined using funnel diagrams, along with Egger’s and Begg’s statistical tests (15, 16).

Results

Search results

Among the 2977 screened studies, 47 reports from 19 phase 3 RCTs (AK105-302, ASTRUM-004, CameL, CameL-Sq, CheckMate 227 Part 1b, CheckMate 227 Part 2, CHOICE-01, EMPOWER-Lung 3, GEMSTONE-302, IMpower130, IMpower131, IMpower132, KEYNOTE-189, KEYNOTE-407, ORIENT-11, ORIENT-12, POSEIDON, RATIONALE-304, and RATIONALE-307), encompassing a total of 9335 patients, were selected (Figure 1) (49, 1757). Table 1 summarizes the baseline characteristics of these studies. Of these, ten RCTs (5, 6, 8, 9, 21, 3234, 37, 43) were international multicenter trials, while the remaining nine (4, 7, 17, 20, 30, 49, 52, 54, 56) were multicenter studies conducted in China. All included studies were considered high quality (Supplementary Figure S1, Supplementary Table S2). According to the GRADE framework, the evidence quality ranged from moderate to high (Supplementary Table S3).

Figure 1
Flowchart depicting the identification of studies via databases and registers. In the identification phase, 6,550 records were found in databases and zero in registers. After removing 3,573 duplicates and other ineligible records, 2,977 records were screened. During screening, 2,729 records were excluded. In the next phase, 248 reports were sought for retrieval and assessed for eligibility. 201 were excluded for being non-comparative or not relevant. Finally, 19 studies were included in the review with reports generated for overall survival, progression-free survival, duration of response, survival rate, disease-specific outcomes, responses, and adverse events, all totaling 47 reports.

Figure 1. Flow chart.

Table 1
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Table 1. Baseline characteristics of the included studies.

Survival

The PC group demonstrated superior OS (HR: 0.73 [0.69, 0.77], P < 0.00001) (Figure 2). OSR showed a significant advantage for the PC group over a period of 6 to 60 months. The OS benefit became more pronounced as survival time extended (Figure 3; Supplementary Figure S2).

Figure 2
Forest plot showing hazard ratios for different studies comparing PIC group versus chemotherapy group. Each study, like AK105-302 and KEYNOTE-189, lists log hazard ratio, standard error, weight, and confidence intervals. The overall effect is 0.73, indicating the PIC group favors survival over chemotherapy. Subtotal statistics show heterogeneity and a significant overall effect with Z = 11.26, p-value < 0.00001.

Figure 2. Forest plot of overall survival associated with PC versus chemotherapy.

Figure 3
Two graphs illustrating overall survival rates. Panel A is a line graph comparing survival probability over sixty months for PC (blue line) and Chemotherapy (red line). PC shows higher survival percentages at each time interval. Panel B is a line graph showing the risk ratio over time, with a confidence interval, peaking around thirty months and fluctuating until sixty months. Both graphs display key statistical data trends in survival rates.

Figure 3. Comparisons of OSR associated with PC versus chemotherapy. (A) OSR at 6–60 months; (B) Trend of risk ratios in OSR.

The PC group demonstrated enhanced PFS (HR: 0.56 [0.52, 0.60], P < 0.00001) (Figure 4). PFSR displayed a significant advantage for the PC group over a duration of 6 to 60 months. The PFS also benefit became more evident as survival time extended (Figure 5; Supplementary Figure S3).

Figure 4
Forest plot showing hazard ratios with 95% confidence intervals for various studies comparing PIC and chemotherapy groups. Each study's hazard ratio is represented by a red square, with lines indicating confidence intervals. Overall, the combined hazard ratio favors the PIC group. Statistical data for heterogeneity and overall effect are included below the plot.

Figure 4. Forest plot of progression-free survival associated with PC versus chemotherapy.

Figure 5
Graph A shows progression-free survival rates over 60 months, with blue and red lines indicating different treatments. Survival probability decreases over time. Graph B depicts risk ratios with 95% confidence intervals across the same period, illustrating fluctuating risk levels.

Figure 5. Comparisons of PFSR associated with PC versus chemotherapy. (A) PFSR at 6–60 months; (B) Trend of risk ratios in PFSR.

Subgroup analysis of survival

OS and PFS consistently favored PC in all subgroups (as described in the outcome assessments). Brain metastases and PD-L1 CPS > 50% were the favorable factors for PC group in both OS and PFS (Table 2).

Table 2
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Table 2. Subgroup analysis of overall survival and progression-free survival.

Responses

The PC group exhibited superior DOR (HR: 0.50 [0.45, 0.54], P < 0.00001) (Figure 6). DORR consistently favored the PC group over a period of 6 to 48 months (Figure 7; Supplementary Figure S4).

Figure 6
Forest plot displaying risk ratios of various studies related to chemotherapy and PC group effectiveness. Each study is represented with a risk ratio and confidence interval, visualized as blocks and lines. Subtotals and totals are indicated, showing a combined risk ratio of 0.50, favoring the chemotherapy group. Heterogeneity statistics and tests for overall effect are included.

Figure 6. Forest plot of duration of response associated with PC versus chemotherapy.

Figure 7
Graph A shows the duration of response rate (DORR) over time for PC and Chem, with probabilities decreasing over 48 months. PC has higher probabilities than Chem throughout. Graph B displays the risk ratio with a ninety-five percent confidence interval, showing variations from approximately 1.5 to 2.5 over 48 months.

Figure 7. Comparisons of DORR associated with PC versus chemotherapy. (A) DORR at 6–48 months; (B) Trend of risk ratios in DORR.

The PC group achieved superior ORR (RR: 1.59 [1.51, 1.67], P < 0.00001), disease control rate (DCR) (RR: 1.12 [1.07, 1.18], P < 0.00001), complete response (CR) (RR: 2.30 [1.64, 3.23], P < 0.00001), and partial response (PR) (RR: 1.55 [1.47, 1.64], P < 0.00001). In contrast, the chemotherapy group had higher rates of stable disease (SD) (RR: 1.59 [1.51, 1.67], P < 0.00001) and progressive disease (PD) (RR: 1.55 [1.47, 1.64], P < 0.00001) (Table 3; Supplementary Figure S5).

Table 3
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Table 3. Tumor Responses.

Safety

Overall, the PC group experienced higher incidences of total TEAEs/TRAEs/irAEs, grade 3–5 TEAEs/TRAEs/irAEs, serious TEAEs/TRAEs/irAEs, TEAEs/TRAEs/irAEs leading to discontinuation, and TRAEs/irAEs leading to death (Table 4).

Table 4
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Table 4. Summary of adverse events.

In TEAE analysis, the PC group showed higher occurrence of any grade nausea, alopecia, platelet count decreased, fatigue, alanine ALT increased, AST increased, decreased appetite, constipation, diarrhea, vomiting, pyrexia, hypoalbuminaemia, rash, arthralgia, edema peripheral, peripheral sensory neuropathy, pruritus, hyperglycemia, hypothyroidism, pneumonia, blood creatinine increased, hyperthyroidism, hypercholesteraemia, and interstitial lung disease (Supplementary Table S4). Meanwhile, the PC group also experienced higher rates of grade 3–5 platelet count decreased, fatigue, decreased appetite, diarrhea, arthralgia, and rash (Supplementary Table S5).

In irAEs analysis, the PC group showed higher occurrence of any grade hypothyroidism, pneumonitis, pneumonia, hepatitis, hyperthyroidism, severe skin reactions, infusion reactions, colitis, nephritis, adrenal insufficiency, and pancreatitis (Supplementary Table S6). Meanwhile, the PC group also experienced higher rates of grade 3–5 hepatitis, pneumonitis, severe skin reactions, colitis, hypothyroidism, and nephritis (Supplementary Table S7).

Sensitivity analysis

The findings for PFS, DCR, and total TEAEs remained robust after excluding individual studies in the sensitivity analysis (Supplementary Figure S6).

Publication bias

Funnel plots for OS, PFS, ORR, and grade 3–5 TEAEs appeared symmetrical, suggesting an acceptable level of publication bias (Supplementary Figure S7). Furthermore, no significant publication bias was found by Egger’s and Begg’s tests for these outcomes (all p > 0.05) (Supplementary Figure S8).

Discussion

The PC therapy has revolutionized the treatment landscape for advanced NSCLC, particularly for stage IIIb-IV disease. However, the rapid evolution of immunotherapy and the publication of numerous phase 3 RCTs in recent years have introduced new complexities and controversies (47). Given the persistent challenges of drug resistance and the limitations of current therapies, the PC regimen offers a rational approach by combining cytotoxic and immune-mediated mechanisms to achieve more durable responses. While earlier studies established the superiority of PC over chemotherapy alone, emerging evidence indicates that the benefits may vary across patient subgroups, particularly those with low or negative PD-L1 expression (17, 20). Additionally, the safety profile of PC, especially the incidence of irAEs, remains a critical concern, particularly for vulnerable populations such as elderly patients or those with pre-existing autoimmune conditions (21, 27). These uncertainties underscore the need for an updated meta-analysis to synthesize the latest evidence and conduct a thorough assessment of PC’s effectiveness and safety in advanced NSCLC. This updated meta-analysis, encompassing 19 phase 3 RCTs and 9,335 patients, confirms the significant survival benefits of PC over chemotherapy alone. The pooled results demonstrate substantial improvements in OS, PFS, DOR, and ORR. Subgroup analyses further reveal that patients with brain metastases and those with a PD-L1 CPS > 50% derive the greatest benefit from PC. Nevertheless, the combined treatment showed increased occurrences of AEs, including TEAEs, TRAEs, and irAEs, necessitating careful risk-benefit assessment in clinical practice.

The survival benefits of PC in advanced NSCLC are robust, as evidenced by marked improvements in OS (HR: 0.73) and PFS (HR: 0.56) in our meta-analysis. These findings align with recent studies, such as the KEYNOTE-189 and IMpower130 trials, which reported similar hazard ratios for OS and PFS in favor of PC (35, 37). Notably, the survival benefits of PC appear to increase over time, with OS and PFS rates showing greater divergence between the PC and chemotherapy groups at longer follow-up intervals. This suggests that the immunomodulatory effects of PD-1/PD-L1 inhibitors may provide durable clinical benefits, a phenomenon also observed in other malignancies treated with immune checkpoint inhibitors (4, 20). Subgroup analyses further illuminate the differential efficacy of PC across patient populations. Patients with brain metastases, a historically poor prognostic group, exhibited particularly pronounced survival benefits from PC. This finding is consistent with recent studies highlighting the potential of immunotherapy to penetrate the blood-brain barrier and exert antitumor effects in the central nervous system (37, 49). Meanwhile, all evaluated PD-1/PD-L1 inhibitors confer OS and PFS benefits versus chemotherapy, supporting a class effect in advanced NSCLC. While numerical differences in pooled HRs are apparent across agents, these arise from indirect, across-trial contrasts with heterogeneous populations, backbones, PD-L1 assays, and follow-up durations. Notably, patients with PD-L1 CPS >50% have consistently demonstrated a greater magnitude of benefit from immunotherapy-based regimens, highlighting the potential of CPS as a predictive biomarker in clinical decision-making. However, variability in testing methods and thresholds remains a challenge for universal application (58). In our subgroup analysis, patients with elevated PD-L1 expression (CPS > 50%) showed greater survival advantages, underscoring PD-L1 as a key predictor of immunotherapy effectiveness. In contrast, the survival benefits in patients with low or negative PD-L1 expression, though statistically significant, were less pronounced, raising considerations regarding the cost-effectiveness of PC in this subgroup (37, 39). Tumor mutational burden (TMB) has emerged as another promising biomarker, as tumors with high TMB tend to harbor more neoantigens, which can enhance immune recognition and response to immune checkpoint inhibitors. Recent evidence suggests that TMB may serve as an independent predictor of treatment efficacy across multiple cancer types. Incorporating both PD-L1 CPS and TMB into predictive models may improve the precision of patient stratification in future clinical trials (59). These findings highlight the need for further research to identify additional biomarkers that can refine patient selection for PC. Enhanced DOR further reinforces PC’s survival advantage, with a significantly prolonged duration in the PC group (HR: 0.50). This suggests that PC not only delays disease progression but also sustains tumor control over a more extended period, a key factor in improving long-term outcomes. The durability of response is particularly important in the context of immunotherapy, where the immune system’s memory effect can lead to prolonged antitumor activity even after treatment discontinuation (17, 21). Although our meta-analysis focuses on clinical outcomes, emerging preclinical and translational studies provide insight into the potential mechanisms underlying the superior efficacy of PD-1/PD-L1 inhibitors combined with chemotherapy. Chemotherapy can enhance tumor immunogenicity by increasing neoantigen presentation and promoting immunogenic cell death, thereby synergizing with PD-1/PD-L1 blockade to enhance cytotoxic T-cell responses. Furthermore, PC therapy has been shown to modulate the tumor microenvironment by reducing immunosuppressive cells such as regulatory T cells and myeloid-derived suppressor cells, and by increasing the infiltration and activation of effector CD8+ T cells. Cytokine profiling studies have also suggested that combined therapy may augment pro-inflammatory cytokine production, contributing to durable antitumor responses (60). Recent studies have further broadened the landscape of NSCLC research in ways that may intersect with immunotherapy. For example, analysis of bronchoalveolar lavage fluid microbiota has revealed significant associations with prognosis and immune modulation in NSCLC, while novel agents such as cycloastragenol have shown antitumor efficacy through apoptosis and autophagy pathways, potentially enhancing immunotherapeutic responses. These findings highlight the need to integrate clinical, microbiological, and molecular perspectives to optimize future immunotherapy-based strategies (61, 62).

In addition to survival outcomes, this meta-analysis highlights the superior response rates associated with PC. The PC group exhibited an ORR approximately 60% higher than the chemotherapy group (RR: 1.59), with similar improvements observed in DCR, CR, and PR rates. These findings are consistent with recent trials, such as the ORIENT-11 and RATIONALE-307 studies, which reported ORRs exceeding 60% in the PC arms (49, 56). The improved response rates likely contribute to the observed survival benefits, as deeper and more durable responses are associated with prolonged disease control and delayed progression. The DOR, a key measure of treatment response durability, was notably extended in the PC group (HR: 0.50). This finding aligns with the hypothesis that immunotherapy enhances the immune system’s ability to maintain long-term tumor control, even after the cessation of treatment (9, 43). However, the higher rates of PD in the chemotherapy group suggest that PC may be particularly effective in preventing disease progression, a key determinant of survival in advanced NSCLC. The improved response rates and DOR observed in the PC group may also have implications for patient quality of life. Patients who achieve a complete or partial response are more likely to experience symptom relief and improved functional status, which are critical considerations in the management of advanced NSCLC (4, 17). Furthermore, the higher rates of disease control in the PC group may reduce the need for subsequent lines of therapy, thereby minimizing the cumulative toxicity associated with multiple treatment regimens.

While the efficacy of PC is well-established, its safety profile remains a critical consideration. Our meta-analysis verifies that PC leads to increased incidences of TEAEs, TRAEs, and irAEs relative to chemotherapy alone. The most common AEs in the PC group were hematologic toxicities, such as anemia and decreased neutrophil count, which are likely attributable to the chemotherapy component of the regimen. However, the higher incidence of irAEs, including pneumonitis, hepatitis, and colitis, underscores the unique toxicity profile of immunotherapy (54, 56). The higher occurrence of grade 3–5 AEs, especially irAEs, in the PC group underscores the importance of close monitoring and proactive toxicity management. Recent studies have emphasized the importance of multidisciplinary care teams and standardized protocols for managing irAEs, which can significantly reduce morbidity and mortality associated with these events (63). Additionally, the higher rates of treatment discontinuation and death due to TRAEs/irAEs in the PC group underscore the importance of patient selection and risk stratification, particularly for vulnerable populations such as elderly patients or those with pre-existing autoimmune conditions (49, 52). The safety profile of PC also has implications for treatment sequencing and combination strategies. For example, a greater occurrence of irAEs in the PC group might hinder the viability of future immunotherapy for patients with severe toxic effects. Although rare, severe irAEs such as myocarditis and Guillain–Barré syndrome were observed in the PC group. These findings underscore the importance of vigilant monitoring and long-term follow-up, as some rare toxicities may emerge late or be underreported in clinical trials (64). This underscores the need for personalized treatment approaches that balance the potential benefits of PC with the risks of toxicity, particularly in patients with comorbidities or poor performance status (58).

Compared with the study by Meng et al. (2022), which analyzed a broader NSCLC population and demonstrated consistent OS and PFS benefits across PD-L1 subgroups, our findings align in confirming the robust efficacy of ICI plus chemotherapy but also expand upon their work by including additional trials and updated evidence (65). In contrast, Chen et al. (2022) focused specifically on squamous NSCLC, reporting stronger relative benefits in OS and PFS, likely reflecting histology-specific sensitivity to chemo-immunotherapy, but with a higher incidence of hematologic and hepatic toxicities (66). These differences can be largely attributed to variations in patient populations (all NSCLC vs. squamous only), the scope of included trials, and the weighting of safety endpoints (67). Taken together, our meta-analysis complements prior work by providing a more comprehensive overview across different PD-1/PD-L1 inhibitors and NSCLC subtypes, while also highlighting that efficacy and safety profiles may vary depending on histology and study design.

Despite its comprehensive scope, this meta-analysis has several limitations. First, heterogeneity among the included studies in patient populations, treatment regimens, and follow-up durations might have impacted the pooled outcomes. Second, the subgroup analyses, while informative, were limited by the availability of data in the original studies. For example, the impact of specific genetic mutations, such as EGFR or ALK alterations, on the efficacy of PC could not be fully explored due to insufficient data. Third, the long-term safety profile of PC remains incompletely characterized, as many of the included studies had relatively short follow-up periods. Fourth, the meta-analysis was unable to assess the cost-effectiveness of PC, a important consideration for healthcare systems worldwide. Fifth, our study is limited by the lack of data on the optimal sequencing of PD-1/PD-L1 inhibitors and chemotherapy, as most trials used induction chemoimmunotherapy followed by maintenance immunotherapy. Sixth, a further limitation is the absence of direct RCTs comparing different PD-1/PD-L1 inhibitors; our agent-level subgroup results versus chemotherapy cannot be interpreted as between-agent comparisons. Seventh, another limitation is the potential bias in AE reporting across trials, as differences in grading systems, monitoring intensity, and reporting standards may affect the comparability of safety outcomes. Finally, the long-term incidence of rare irAEs could not be fully characterized due to limited follow-up in the included trials.

Conclusion

This updated meta-analysis confirms the significant survival and response benefits of PC therapy in advanced NSCLC. The survival benefits were consistent across all subgroups (particularly effective in patients with brain metastases and high PD-L1 expression) and increases with the prolongation of survival time. Nevertheless, the increased occurrence of AEs, especially irAEs, requires careful patient selection and proactive toxicity control. Future studies should aim to discover novel biomarkers for better patient stratification and develop strategies to mitigate PC-related risks.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.

Author contributions

YX: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. BZ: Conceptualization, Data curation, Formal Analysis, Writing – original draft. CY: Conceptualization, Data curation, Formal Analysis, Writing – original draft. QH: Conceptualization, Data curation, Formal Analysis, Writing – original draft. WC: Conceptualization, Data curation, Formal Analysis, Writing – original draft. WZ: Conceptualization, Data curation, Formal Analysis, Writing – original draft. WXZ: Conceptualization, Data curation, Formal Analysis, Writing – original draft. TZ: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, and/or publication of this article.

Acknowledgments

The authors appreciate all the public health workers who participated in the databases (PubMed, ScienceDirect, the Cochrane Library, Scopus, EMBASE, and Web of Science).

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.

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The author(s) declare that no Generative AI was used in the creation of this manuscript.

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Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2025.1590017/full#supplementary-material

Supplementary Figure 1 | Cochrane Risk Assessment.

Supplementary Figure 2 | Forest plots of OSR at 6–60 months associated with PC versus chemotherapy.

Supplementary Figure 3 | Forest plots of PFSR at 6–60 months associated with PC versus chemotherapy.

Supplementary Figure 4 | Forest plots of DORR at 6–48 months associated with PC versus chemotherapy.

Supplementary Figure 5 | Forest plots of responses associated with PC versus chemotherapy.

Supplementary Figure 6 | Sensitivity analysis of PFS (A), DCR (B), and total TEAEs (C).

Supplementary Figure 7 | Funnel plots of OS (A), PFS (B), ORR (C), and grade 3–5 TEAEs (D).

Supplementary Figure 8 | Egger’s and Begg’s tests of OS (A), PFS (B), and grade TEAEs (C).

Abbreviations

AE, Adverse event; ALK, Anaplastic lymphoma kinase; ALT, Alanine aminotransferase; AST, Aspartate aminotransferase; CI, Confidence interval; CPS, Combined positive score; CR, Complete response; DCR, Disease control rate; DOR, Duration of response; DORR, Duration of response rate; ECOG PS, Eastern Cooperative Oncology Group Performance Status; EGFR, Epidermal growth factor receptor; GRADE, Grading of Recommendations Assessment, Development, and Evaluation; HR, Hazard ratio; ICI, Immune checkpoint inhibitor; irAE, Immune-related adverse event; M/F, Male/Female; Non-sq, Non-squamous non-small-cell lung cancer; NSCLC, Non-small-cell lung cancer; ORR, Objective response rate; OS, Overall survival; OSR, Overall survival rate; PC, PD-1/PD-L1 inhibitors combined with chemotherapy; PD, Progressive disease; PD-1, Programmed cell death protein 1; PD-L1, Programmed death-ligand 1; PFS, Progression-free survival; PFSR, Progression-free survival rate; PR, Partial response; PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses; PROSPERO, International prospective register of systematic reviews; Sq, Squamous cell carcinoma; RCT, Randomized controlled trial; RET, Rearranged during transfection; ROS1, ROS Proto-Oncogene 1, receptor tyrosine kinase; RR, Risk ratio; SD, Stable disease; TEAE, Treatment-emergent adverse event; TRAE, Treatment-related adverse event.

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Keywords: PD-1/PD-L1 inhibitors, chemotherapy, non-small-cell lung cancer, meta-analysis, phase 3 randomized controlled trials

Citation: Xu Y, Zhong B, Yu C, Hou Q, Chen W, Zheng W, Zhang W and Zhou T (2025) The benefits and risks of adding PD-1/PD-L1 inhibitors to chemotherapy for stage IIIb-IV non-small-cell lung cancer: an updated meta-analysis based on phase 3 randomized controlled trials. Front. Oncol. 15:1590017. doi: 10.3389/fonc.2025.1590017

Received: 08 March 2025; Accepted: 28 August 2025;
Published: 11 September 2025.

Edited by:

Julie Tabiasco, INSERM UMR1291 Institut Toulousain des Maladies Infectieuses et Inflammatoires, France

Reviewed by:

Chen Ling, Fudan University, China
Ling Yang, Xinyu People’s Hospital, China
Xia Hu, Jiangxi Provincial People’s Hospital, China

Copyright © 2025 Xu, Zhong, Yu, Hou, Chen, Zheng, Zhang and Zhou. 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: Tonggang Zhou, emhvdXRvbmdnYW5nYUAxNjMuY29t

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