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Immunotherapy - Cancer

Immune checkpoint inhibitors as first-line therapy for non-small cell lung cancer: A systematic evaluation and meta-analysis

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Article: 2169531 | Received 28 Jun 2022, Accepted 13 Jan 2023, Published online: 30 Jan 2023

ABSTRACT

Recently, immune checkpoint inhibitors (ICIs) present promising application prospects in treating non-small cell lung cancer (NSCLC). This study aimed to investigate optimal treatment strategy by comparing the first-line treatment strategies with ICIs in NSCLC. We retrieved relevant studies on first-line therapy of NSCLC with ICIs. Primary outcomes were overall survival (OS) and progression-free survival (PFS). Secondary outcomes were treatment-related serious adverse events (tr-SAEs) with grade 3 or higher and objective response rate (ORR). We also conducted a Bayesian network meta-analysis. We included 14 studies involving 7,823 patients and compared seven different interventions. In PD-L1 nonselective NSCLC, nivolumab+ipilimumab had good PFS and ORR, pembrolizumab significantly prolonged OS, and nivolumab had the fewest adverse events (AEs). For PD-L1-positive patients, nivolumab remarkably prolonged OS. For those with negative PD-L1, nivolumab+ipilimumab also showed an advantage. In addition, nivolumab+ipilimumab significantly prolonged the PFS in both PD-L1-negative and -positive patients. For patients with PD-L1 tumor proportion score (TPS) within 1–49%, atezolizumab+chemotherapy remarkably prolonged PFS and OS. For those with PD-L1 TPS ≥50%, pembrolizumab prolonged OS and atezolizumab+chemotherapy significantly prolonged PFS. Nivolumab combined with ipilimumab showed advantages in OS, PFS and ORR in most patients. Nivolumab+ipilimumab may be the optimal first-line therapy for NSCLC.

Introduction

Non-small cell lung cancer (NSCLC) constitutes 80–85% of lung cancer, which is a predominant cause of deaths,Citation1 As most patients are too advanced for surgical treatment when diagnosed, chemotherapy remains the preferred therapy for NSCLC. But patients receiving chemotherapy had relatively low response rate (<50%)Citation2 and 5-y overall survival rate (about 5%).Citation3 Nowadays, with the advent of targeted drugs, 30–40% of the NSCLC patients with sensitive mutations have benefited. Nevertheless, acquired resistance has limited their availability of targeted drugs.Citation4 Therefore, finding new treatment methods for NSCLC is an issue demands prompt solution.

Recently, accumulating evidence has shown that immune evasion is a central marker for lung cancer.Citation5 Activation of immune checkpoint antibodies programmed death 1 (PD-1)/programmed death ligand 1 (PD-L1) and cytotoxic T-lymphocyte antigen 4 (CTLA-4) pathways were vital mechanisms to evade immune elimination in tumor cells.Citation6 Immune checkpoint inhibitors (ICIs) promote autoimmune function of cancer cells via blocking expression of immune checkpoint antibodies mentioned above.Citation7 The U.S. Food and Drug Administration (FDA) has approved four ICIs for NSCLC patients: pembrolizumab, nivolumab, durvalumab and atezolizumab. The former two target PD-1 receptor, and the latter two target anti-PD-L1.Citation8 Several phase III randomized controlled trials (RCTs) presented that pembrolizumab monotherapy substantially improves survival in advanced NSCLC patients compared with platinum-based chemotherapy, with a lower probability of grade 3 or higher adverse events (AEs).Citation9–11 Recent studies reported that the standard first-line therapy for NSCLC patients with PD-L1 tumor proportional score (TPS) ≥1% is pembrolizumab monotherapy or atezolizumab monotherapy.Citation12–14 PACIFIC trial unveiled that durvalumab monotherapy is suitable for patients with unresectable stage III NSCLC.Citation15

CTLA4 binds to CD80/CD86 to activate inhibitory downstream signaling in lymphocytes.Citation7 Ipilimumab and tremelimumab act as immunosuppressive agents by antagonizing CTLA4 to prevent it from binding to ligands.Citation7 Additionally, the antitumor mechanism of CTLA-4 and repression of PD-1/PD-L1 pathway are complementary.Citation12 Compared with ICI monotherapy, the combination regimen of ipilimumab plus nivolumab can be first-line therapy of advanced NSCLC patients and is independent of PD-L1 levels.Citation16,Citation17 Durvalumab can improve survival in patients with metastatic NSCLC with PD-L1 ≥ 25% whatever being a single agent or in combination with tremelimumab,Citation18

Clinical trials in recent years have also revealed that ICIs combined with chemotherapy as first-line therapy for advanced NSCLC patients have favorable survival and fewer side effects.Citation12 But immune-related AEs caused by ICIs are even more than chemotherapy.Citation19 The main cause of AEs is the activation of autoreactive T cells caused by the blockade of immune checkpoint receptors PD-1/PD-L1 and CTLA-4, mainly involving the endocrine glands, gastrointestinal tract, skin, lung, liver, cardiovascular, nervous system, and blood.Citation20–23 Hence, the treatment and management of AEs need to be considered with therapeutic regimens in clinical practice.

However, the best PD-1/L1 treatment is still unclear. Now it is controversial whether PD-L1 expression affects the immunotherapy effect on patients. Therefore, a network meta-analysis comparing the first-line treatment methods was conducted in our study to determine the best treatment option.

Methods

Literature retrieval

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement and the PRISMA extension statement for network meta-analysis were applied to conduct this systematic evaluation and meta-analysis.

By 20 August 2020, two investigators did a comprehensive literature search in PubMed, Embase, Web of Science and The Cochrane Library databases independently. Retrieval strategies were as follows: ((((((((((((((((((“Carcinoma, Non-Small-Cell Lung”[MeSH Terms]) OR (“Non-Small Cell Lung Cancer”[Title/Abstract])) OR (“Carcinoma, Non-Small Cell Lung”[Title/Abstract])) OR (“Non Small Cell Lung Carcinoma”[Title/Abstract])) OR (“Non-Small-Cell Lung Carcinoma”[Title/Abstract])) OR (“Nonsmall Cell Lung Cancer”[Title/Abstract])) OR (“Non-Small-Cell Lung Carcinomas”[Title/Abstract])) OR (“Lung Carcinomas, Non-Small-Cell”[Title/Abstract])) OR (“Lung Carcinoma, Non-Small-Cell”[Title/Abstract])) OR (“Carcinomas, Non-Small-Cell Lung”[Title/Abstract])) OR (“Carcinoma, Non Small Cell Lung”[Title/Abstract])) OR (“Lung Cancers”[Title/Abstract])) OR (“Lung Cancer”[Title/Abstract])) OR (“Lung Neoplasms”[Title/Abstract])) OR (“Lung Neoplasm”[Title/Abstract])) OR (“NSCLC”[Title/Abstract])) AND (((((((((((((((((((Ipilimumab[Title/Abstract]) OR (Yervoy[Title/Abstract])) OR (Pembrolizumab[Title/Abstract])) OR (Keytruda[Title/Abstract])) OR (lambrolizumab[Title/Abstract])) OR (Nivolumab[Title/Abstract])) OR (Opdivo[Title/Abstract])) OR (Cemiplimab[Title/Abstract])) OR (Libtayo[Title/Abstract])) OR (Sintilimab[Title/Abstract])) OR (“Da Boshu”[Title/Abstract])) OR (Atezolizumab[Title/Abstract])) OR (Tecentriq[Title/Abstract])) OR (Durvalumab[Title/Abstract])) OR (Imfinzi[Title/Abstract])) OR (Avelumab[Title/Abstract])) OR (Bavencio[Title/Abstract])) OR (Toripalimab[Title/Abstract])) OR (“Tuo Yi”[Title/Abstract]))) AND (first-line[Title/Abstract])) OR (front-line[Title/Abstract])

Literature screening

The following were inclusion criteria: (1) Studies involved patients who were confirmed advanced NSCLC histologically or cytologically; (2) Studies taking ICIs as the first-line therapy; (3) Studies comparing ICI monotherapy and combination therapies involving chemotherapy or targeted therapy; (4) Studies containing ≥1 of outcome indicators including overall survival (OS), progression-free survival (PFS), treatment-related serious AE (tr-SAE) and objective response rate (ORR). Exclusion criteria were as follows: (1) Studies involving patients who had received treatment other than immunotherapy or chemotherapy in first-line treatment; (2) Studies involving patients with sensitive mutations of epidermal growth factor receptor, anaplastic lymphoma kinase, or other genes; (3) Duplicate literature, systematic review, case report, meta-analysis, letter or non-English literature.

Data selection and quality assessment

Two investigators completed data extraction severally, and a third investigator joined negotiation when there was any disagreement. Data included author, publication year, phase of trial, intervention, sample size, histological type, gender and age, and primary outcome measures including OS, PFS, ORR, and tr-SAE.

With the Cochrane bias risk tool, quality assessment was conducted from seven perspectives: (1) random sequence production; (2) allocation hiding; (3) blinding the subjects and investigators; (4) blinding outcome assessors; (5) incomplete data; (6) selective result reporting; and (7) other biases. Items were scored as unclear risk (yellow), low risk (green), and high risk (red).

Statistical analysis

All data were included for comparison of efficacy of different treatments. PFS and OS were taken as the primary outcomes, and incidence of ORR and tr-SAE were taken as the secondary outcomes. The hazard ratio (HR) of PFS and OS were extracted from literature. Odds ratio (OR) of ORR and incidence of tr-SAE were obtained by calculation.

We used Stata 14.0 software to map the network diagram of different interventions with different outcomes to visually reflect the direct or indirect comparisons of the treatment methods in included studies. The gemtc package of R software was applied to summarize data of comparisons directly and indirectly. The R-based ggplot2 package generated a cumulative ranking curve, and surface under cumulative ranking curve showed the probability of different treatments ranking best, second best and third best under different outcome indicators. Besides, we also performed subgroup analysis based on PD-L1 expression. Heterogeneity of studies was measured using Q test and I2 statistics. If p < .1 or I2 > 50%, the heterogeneity was regarded as high and then the random-effects model was adopted. Instead, fixed-effects model was adopted. Statistical significance was considered when p < .05.

Results

Literature retrieval

A total of 789 studies were retrieved through online databases, 103 duplicates were excluded, 648 articles were removed after browsing titles and abstracts, 38 articles were evaluated in full-text, and 14 studies were finally included ().

Figure 1. Flow chart of literature screening.

Figure 1. Flow chart of literature screening.

Basic characteristics and quality assessment

shows the basic characteristics of 14 references.Citation9,Citation11,Citation13,Citation17,Citation24–33 A total of 7,823 patients participated in 7 different treatment strategies: Comparison between pembrolizumab, nivolumab, atezolizumab, docetaxel, atezolizumab+chemotherapy, and nivolumab+ipilimumab, and chemotherapy. The included literature included multicenter Phase II or Phase III RCTs. shows detailed results of bias assessment. A comparative network plot for all outcomes is presented in . Among PD-L1 nonselective NSCLC patients, PFS was reported in five treatment strategies, OS and AEs in six treatment strategies, and ORR in four treatment strategies.

Figure 2. Quality assessment of included studies. Yellow (?): unclear risk; Green (+): low risk; Red (-): high risk.

Figure 2. Quality assessment of included studies. Yellow (?): unclear risk; Green (+): low risk; Red (-): high risk.

Figure 3. Network diagram. (a) PFS; (b) OS; (c) ORR; (d) AEs ≥3. The dots in the figure represent different treatment methods; the size of the dots represents the sample size using that treatment; the line between the dots represents a direct comparison between the two treatments; the thickness of the line represents the number of studies. PFS: progression-free survival; OS: overall survival; ORR: objective response rate; AEs: adverse events.

Figure 3. Network diagram. (a) PFS; (b) OS; (c) ORR; (d) AEs ≥3. The dots in the figure represent different treatment methods; the size of the dots represents the sample size using that treatment; the line between the dots represents a direct comparison between the two treatments; the thickness of the line represents the number of studies. PFS: progression-free survival; OS: overall survival; ORR: objective response rate; AEs: adverse events.

Table 1. Basic characteristics of the included literature.

Therapeutic effect

A meta-analysis of overall efficacy across all studies was conducted. As illustrated by forest plot, when compared with chemotherapy, immunotherapy markedly prolonged OS (HR = 0.72, 95% CI: 0.69–0.76, ) and PFS (HR = 0.71, 95% CI: 0.66–0.77, ) in advanced NSCLC patients, and noticeably reduced the incidence of grade 3 and worse AEs (RR: 0.62, 95% CI: 0.48–0.80, ).

Figure 4. Forest plot of comparison of (a) OS, (b) PFS, and (c) adverse events of grade 3 or higher between immunotherapy and chemotherapy.

Figure 4. Forest plot of comparison of (a) OS, (b) PFS, and (c) adverse events of grade 3 or higher between immunotherapy and chemotherapy.

Afterward, the efficacy of immunotherapy and chemotherapy on advanced NSCLC patient’s survival was compared through league charts. In terms of OS, immunotherapy was evidently superior to chemotherapy, and no prominent differences were seen in these immunotherapies. In the context of PFS, immunotherapy was notably better than chemotherapy except for nivolumab (HR = 0.90, 95% CI: 0.79–1.02; ). Besides, the PFS of nivolumab+ipilimumab was substantially higher than nivolumab monotherapy (HR = 0.64, 95% CI: 0.45–0.93; ).

Figure 5. League chart. (a) Combined HR (95%CI) of PFS (upper triangle) and OS (lower triangle); (b) Combined or (95% CI) of grade 3 or higher AEs (upper triangle) and ORR (lower triangle); the data in each cell is HR or OR (95% CI) comparing row definition processing and column definition processing. HR <1 or OR >1 indicates better results. The results in bold are significant. PFS: progression-free survival; OS: overall survival; HR: hazard ratio; OR: odds ratio; ORR: objective response rate; AEs: adverse events; Atez: atezolizumab; Chem: chemotherapy; Nivo: nivolumab; Ipil: ipilimumab.

Figure 5. League chart. (a) Combined HR (95%CI) of PFS (upper triangle) and OS (lower triangle); (b) Combined or (95% CI) of grade 3 or higher AEs (upper triangle) and ORR (lower triangle); the data in each cell is HR or OR (95% CI) comparing row definition processing and column definition processing. HR <1 or OR >1 indicates better results. The results in bold are significant. PFS: progression-free survival; OS: overall survival; HR: hazard ratio; OR: odds ratio; ORR: objective response rate; AEs: adverse events; Atez: atezolizumab; Chem: chemotherapy; Nivo: nivolumab; Ipil: ipilimumab.

Regarding ORR, ORR in atezolizumab (OR = 0.41, 95% CI: 0.23–0.71), chemotherapy (OR = 0.44, 95% CI: 0.27–0.71) and nivolumab (OR = 0.53, 95% CI: 0.31–0.93) groups were significantly lower than that in the nivolumab+ipilimumab group (). Additionally, nivolumab+ipilimumab had a similar ORR as pembrolizumab (OR = 1.05, 95% CI: 0.58–1.89; ).

We ranked OS and PFS of treatment strategies by SUCRA value. The results showed that pembrolizumab ranked first in OS among patients with PD-L1 nonselective NSCLC (53.9% probability; ). Nivolumab+ipilimumab was most likely to rank first in PFS (71.5% probability; ) and ORR (55.8% probability; ). Nivolumab ranked first in AE (99.9% probability; ). Overall, nivolumab had the fewest AEs compared to other treatments.

Figure 6. Ranking diagram. (a) Ranking diagram of OS of PD-L1 nonselective NSCLC patients; (b) Ranking diagram of PFS of PD-L1 nonselective NSCLC patients; (c) 7 Ranking diagram of ORR of PD-L1 nonselective NSCLC patients; (d) Ranking diagram of tr-SAE of PD-L1 nonselective NSCLC patients. Atez: atezolizumab; Chem: chemotherapy; Nivo: nivolumab; Ipil: ipilimumab.

Figure 6. Ranking diagram. (a) Ranking diagram of OS of PD-L1 nonselective NSCLC patients; (b) Ranking diagram of PFS of PD-L1 nonselective NSCLC patients; (c) 7 Ranking diagram of ORR of PD-L1 nonselective NSCLC patients; (d) Ranking diagram of tr-SAE of PD-L1 nonselective NSCLC patients. Atez: atezolizumab; Chem: chemotherapy; Nivo: nivolumab; Ipil: ipilimumab.

Results of subgroup analysis

PD-L1 TPS within 1–49% and PD-L1 TPS ≥50%

All studies were categorized per different cutoffs for PD-L1 TPS: PD-L1 TPS 1–49% and PD-L1 TPS ≥50%. A pooled analysis of patient’s survival with PD-L1 TPS 1–49% and PD-L1 TPS ≥50% revealed significant heterogeneity (I2 = 65.8%, p = .002, ; I2 = 68.4%, p < .001, ), and random effects model was utilized for analysis. Compared with chemotherapy, immunotherapy was beneficial to prolong OS (HR = 0.79, 95% CI: 0.67–0.93, ; HR = 0.67, 95% CI: 0.57–0.77, ) and PFS (HR = 0.68, 95% CI: 0.48–0.97, ; HR = 0.58, 95% CI: 0.42–0.81, ) in advanced NSCLC patients with PD-L1 TPS 1–49% and PD-L1 TPS ≥50%.

Figure 7. Forest plots for PD-L1 TPS 1–49% and TPS ≥50%. (a) PD-L1 TPS 1–49%, forest plot comparing OS and PFS between immunotherapy and chemotherapy; (b) PD-L1 TPS ≥50%, forest plot comparing OS and PFS between immunotherapy and chemotherapy.

Figure 7. Forest plots for PD-L1 TPS 1–49% and TPS ≥50%. (a) PD-L1 TPS 1–49%, forest plot comparing OS and PFS between immunotherapy and chemotherapy; (b) PD-L1 TPS ≥50%, forest plot comparing OS and PFS between immunotherapy and chemotherapy.

Next, survival analysis of patients with PD-L1 TPS 1–49% and PD-L1 TPS ≥50% receiving different therapies was done. In those with PD-L1 TPS within 1–49%, OS was reported in four treatments () and PFS was reported in three treatments (). For OS, pembrolizumab notably prolonged OS in comparison with chemotherapy (HR = 1.32, 95% CI: 1.04–1.66; ). For PFS, atezolizumab+chemotherapy showed prolonged PFS than chemotherapy (HR = 1.64, 95% CI: 1.23–2.19) and pembrolizumab (HR = 1.71, 95% CI: 1.2–2.43; ).

Figure 8. Network diagram of subgroup analysis. (a-b) OS and PFS of patients with PD-L1 1–49%; (c-d) OS and PFS of patients with PD-L1 ≥ 50%. The dots in the figure represent different treatment methods; the size of the dots represents the sample size using that treatment; the line between the dots represents a direct comparison between the two treatments; the thickness of the line represents the number of studies. Atez: atezolizumab; Chem: chemotherapy; Nivo: nivolumab; Ipil: ipilimumab.

Figure 8. Network diagram of subgroup analysis. (a-b) OS and PFS of patients with PD-L1 1–49%; (c-d) OS and PFS of patients with PD-L1 ≥ 50%. The dots in the figure represent different treatment methods; the size of the dots represents the sample size using that treatment; the line between the dots represents a direct comparison between the two treatments; the thickness of the line represents the number of studies. Atez: atezolizumab; Chem: chemotherapy; Nivo: nivolumab; Ipil: ipilimumab.

Figure 9. League chart of subgroup analysis. (a) Combined HR (95%CI) for PFS (upper triangle) and OS (lower triangle) of patients with PD-L1 1–49%; (b) Combined HR (95%CI) for PFS (upper triangle) and OS (lower triangle) of patients with PD-L1 ≥ 50%; the data in each cell is HR or OR (95% CI) comparing row definition processing and column definition processing. HR <1 and OR >1 indicate better results. Significant results are shown in bold. PFS: progression-free survival; OS: overall survival; HR: hazard ratio; OR: odds ratio; Atez: atezolizumab; Chem: chemotherapy; Nivo: nivolumab; Ipil: ipilimumab.

Figure 9. League chart of subgroup analysis. (a) Combined HR (95%CI) for PFS (upper triangle) and OS (lower triangle) of patients with PD-L1 1–49%; (b) Combined HR (95%CI) for PFS (upper triangle) and OS (lower triangle) of patients with PD-L1 ≥ 50%; the data in each cell is HR or OR (95% CI) comparing row definition processing and column definition processing. HR <1 and OR >1 indicate better results. Significant results are shown in bold. PFS: progression-free survival; OS: overall survival; HR: hazard ratio; OR: odds ratio; Atez: atezolizumab; Chem: chemotherapy; Nivo: nivolumab; Ipil: ipilimumab.

Among patients with PD-L1 TPS ≥50%, OS was reported in 5 treatments () and PFS was reported in 4 treatments (). For OS, nivolumab+ipilimumab (HR = 1.43, 95% CI: 1.12–1.82) and pembrolizumab (HR = 1.59, 95% CI: 1.35–1.88) remarkably prolonged OS compared with chemotherapy (). For PFS, atezolizumab + chemotherapy (HR = 1.96, 95% CI: 1.3–2.95) and pembrolizumab (HR = 0.71, 95% CI: 0.61–0.83; ) were significantly superior to chemotherapy.

The ranking results showed that atezolizumab+chemotherapy was the most possible therapy to rank first in PFS (99.8% probability) and OS (61.8% probability) among the PD-L1 1–49% population (). In patients with PD-L1 ≥50%, pembrolizumab ranked first in OS (65.2% probability) and atezolizumab+chemotherapy ranked first in PFS (93.4% probability) ().

Figure 10. Ranking diagram of PD-L1 TPS 1–49% and TPS ≥50% subgroups. (a) Ranking diagram of OS of NSCLC patients with PD-L1 1–49%; (b) Ranking diagram of PFS of NSCLC patients with PD-L1 1–49%; (c) Ranking diagram of OS of NSCLC patients with PD-L1 ≥ 50%; (d) Ranking diagram of PFS of NSCLC patients with PD-L1 ≥ 50%. Atez: atezolizumab; Chem: chemotherapy; Nivo: nivolumab; Ipil: ipilimumab.

Figure 10. Ranking diagram of PD-L1 TPS 1–49% and TPS ≥50% subgroups. (a) Ranking diagram of OS of NSCLC patients with PD-L1 1–49%; (b) Ranking diagram of PFS of NSCLC patients with PD-L1 1–49%; (c) Ranking diagram of OS of NSCLC patients with PD-L1 ≥ 50%; (d) Ranking diagram of PFS of NSCLC patients with PD-L1 ≥ 50%. Atez: atezolizumab; Chem: chemotherapy; Nivo: nivolumab; Ipil: ipilimumab.

PD-L1 TPS ≥1% and PD-L1 TPS <1%

According to PD-L1 TPS level, it was divided into PD-L1 TPS <1% and PD-L1 TPS ≥1%. With PD-L1 TPS ≥1%, the pooled analysis revealed large heterogeneity among studies (I2 = 81.2%, p < .001, ), and random effects model was utilized for analysis. With PD-L1 TPS <1%, pooled analysis illustrated little heterogeneity among studies (I2 = 37.1%, p = .080, ), and fixed effects model was utilized for analysis. Compared with chemotherapy, immunotherapy was beneficial to prolong OS (HR = 0.75, 95% CI: 0.69–0.82, ; HR = 0.72, 95% CI: 0.64–0.82, ) and PFS (HR = 0.64, 95% CI: 0.45–0.91, ; HR = 0.75, 95% CI: 0.60–0.94, ) when PD-L1 TPS ≥1% and PD-L1 TPS <1%.

Figure 11. Forest plots for PD-L1 TPS ≥1% and TPS <1%. (a) PD-L1 TPS ≥1%, forest plot comparing OS and PFS between immunotherapy and chemotherapy; (b) PD-L1 TPS <1%, forest plot comparing OS and PFS between immunotherapy and chemotherapy.

Figure 11. Forest plots for PD-L1 TPS ≥1% and TPS <1%. (a) PD-L1 TPS ≥1%, forest plot comparing OS and PFS between immunotherapy and chemotherapy; (b) PD-L1 TPS <1%, forest plot comparing OS and PFS between immunotherapy and chemotherapy.

Additionally, network diagram depicted that with PD-L1 TPS ≥1%, OS and PFS were reported in 4 treatments (). Regarding OS, all immunotherapies had superior efficiency than chemotherapy (). For PFS, both nivolumab+ipilimumab (HR = 0.62, 95% CI: 0.44–0.88) and nivolumab (HR = 0.69, 95% CI: 0.55–0.87) were better than chemotherapy except pembrolizumab (HR = 1.07, 95% CI: 0.94–1.21) ().

Figure 12. Network diagram of PD-L1-positive and -negative subgroups. (a-b) OS and PFS of patients with PD-L1 ≥ 1%; (c-d) OS and PFS of patients with PD-L1 < 1%. The dots in the figure represent different treatment methods; the size of the dots represents the sample size using that treatment; the line between the dots represents a direct comparison between the two treatments; the thickness of the line represents the number of studies. Atez: atezolizumab; Chem: chemotherapy; Nivo: nivolumab; Ipil: ipilimumab.

Figure 12. Network diagram of PD-L1-positive and -negative subgroups. (a-b) OS and PFS of patients with PD-L1 ≥ 1%; (c-d) OS and PFS of patients with PD-L1 < 1%. The dots in the figure represent different treatment methods; the size of the dots represents the sample size using that treatment; the line between the dots represents a direct comparison between the two treatments; the thickness of the line represents the number of studies. Atez: atezolizumab; Chem: chemotherapy; Nivo: nivolumab; Ipil: ipilimumab.

Figure 13. League chart of PD-L1-positive and -negative subgroups. (a) Combined HR (95%CI) for PFS (upper triangle) and OS (lower triangle) of patients with PD-L1 ≥ 1%; (b) Combined HR (95%CI) for PFS (upper triangle) and OS (lower triangle) of patients with PD-L1 < 1%; the data in each cell is HR or OR (95%CI) comparing row definition processing and column definition processing. HR <1 and OR >1 indicate better results. Significant results are shown in bold. PFS: progression-free survival; OS: overall survival; HR: hazard ratio; OR: odds ratio; Atez: atezolizumab; Chem: chemotherapy; Nivo: nivolumab; Ipil: ipilimumab.

Figure 13. League chart of PD-L1-positive and -negative subgroups. (a) Combined HR (95%CI) for PFS (upper triangle) and OS (lower triangle) of patients with PD-L1 ≥ 1%; (b) Combined HR (95%CI) for PFS (upper triangle) and OS (lower triangle) of patients with PD-L1 < 1%; the data in each cell is HR or OR (95%CI) comparing row definition processing and column definition processing. HR <1 and OR >1 indicate better results. Significant results are shown in bold. PFS: progression-free survival; OS: overall survival; HR: hazard ratio; OR: odds ratio; Atez: atezolizumab; Chem: chemotherapy; Nivo: nivolumab; Ipil: ipilimumab.

With PD-L1 TPS <1%, OS and PFS were reported in three treatments (). For OS, nivolumab+ipilimumab (HR = 1.61, 95% CI: 1.27–2.05) had significantly better efficiency than chemotherapy (). For PFS, in addition to nivolumab (HR = 0.97, 95% CI: 0.76–1.25), atezolizumab+chemotherapy (HR = 1.39, 95% CI: 1.09–1.77) and nivolumab+ipilimumab (HR = 0.48, 95% CI: 0.27–0.85) were both prominently better than chemotherapy ().

The ranking results showed that nivolumab ranked first in OS (90.4% probability, ) and nivolumab+ipilimumab ranked first in PFS (69.3% probability, ) among patients with positive PD-L1. Among PD-L1-negative patients, nivolumab+ipilimumab was likely to rank first in PFS (89.7% probability, ) and OS (84.3% probability, ).

Figure 14. Ranking diagram of PD-L1-positive and -negative subgroups. (a) Ranking diagram of OS of PD-L1-positive NSCLC patients; (b) Ranking diagram of PFS of PD-L1-positive NSCLC patients; (c) Ranking diagram of OS of PD-L1-negative NSCLC patients; (d) Ranking diagram of PFS of PD-L1-negative NSCLC patients Atez: atezolizumab; Chem: chemotherapy; Nivo: nivolumab; Ipil: ipilimumab.

Figure 14. Ranking diagram of PD-L1-positive and -negative subgroups. (a) Ranking diagram of OS of PD-L1-positive NSCLC patients; (b) Ranking diagram of PFS of PD-L1-positive NSCLC patients; (c) Ranking diagram of OS of PD-L1-negative NSCLC patients; (d) Ranking diagram of PFS of PD-L1-negative NSCLC patients Atez: atezolizumab; Chem: chemotherapy; Nivo: nivolumab; Ipil: ipilimumab.

Discussion

Immunotherapy takes a vital part in first-line therapy of NSCLC. Herein, network meta-analysis was performed on 14 RCTs. Nivolumab+ipilimumab had better PFS and ORR of PD-L1 nonselective NSCLC patients. Additionally, in those with PD-L1 TPS ≥1% or PD-L1 TPS <1%, nivolumab+ipilimumab were beneficial to improve the survival benefit of advanced NSCLC patients. Nivolumab monotherapy had the fewest AEs, and in PD-L1-positive patients, OS of those who received nivolumab monotherapy was substantially prolonged. A phase III CheckMate 227 trial reported that nivolumab+ipilimumab can be used as the first-line therapy in patients suffering advanced NSCLC with high tumor mutational burden (TMB), with longer OS and PFS and fewer AEs than chemotherapy, and is independent of PD-L1 expression.Citation17,Citation31,Citation34 The CheckMate 9LA trial revealed that nivolumab+ipilimumab in combination with two cycles of chemotherapy have longer OS and favorable risk-benefit profile than four cycles of chemotherapy alone, further supporting its use as first-line therapeutic avenue for advanced NSCLC patients.Citation35 A recent meta-analysis of nivolumab+ipilimumab therapy and existing regimens revealed that compared with existing immunotherapy regimens, the nivolumab+ipilimumab therapy is more likely to be tolerated but has no benefit in PFS in PD-L1-positive patients with advanced NSCLC.Citation36 The reason for the difference from our results may be that only four documents were included, with small sample size. Therefore, more clinical trials are warranted to deeply investigate the optimal efficacy of dual immunotherapy.

We manifested that different PD-L1 TPS scores indicated different therapeutic effects, which made the optimal treatment for patients substantially different. When PD-L1 TPS within 1–49%, atezolizumab+chemotherapy evidently prolonged PFS as well as OS. When PD-L1 TPS ≥50%, pembrolizumab prolonged OS and atezolizumab+chemotherapy significantly prolonged PFS. We analyzed the reasons from the perspective of drug mechanism. For one thing, PD-1 inhibitors have different mechanisms with PD-L1 inhibitors. A recent meta-analysis showed that PD-L1 inhibitors block the PD-L1/PD-1 and PD-L1/B7–1 pathways and therefore have a stronger immune response than PD-1 inhibitors.Citation37 For another thing, PD-1 inhibitors have different binding sites with PD-L1 inhibitors. For PD-1 inhibitors, the binding region of nivolumab is completely different from that of pembrolizumab. These two antibodies bind to PD-1 from two different directions, causing a spatial conflict. The binding region of nivolumab is near the binding region of pembrolizumab on PD-1 without overlap.Citation38 Regarding PD-L1 inhibitors, BMS-963559 AND atezolizumab bind on the upper side near N-end of PD-L1. Different from that, avelumab and durvalumab bind vertically to PD-L1, meaning that specific drugs bind to PD-L1 by specific way.Citation39 However, some articles reported that effect of PD-1/L1 inhibitors is independent of molecular differences between drugs.Citation40 Therefore, whether differences in the mechanism and binding sites affect the efficacy of PD-1/PD-L1 inhibitors awaits to be explored.

From perspective of clinical trial design, the differences between these immunotherapies can also be considered in the following aspects. First, there is heterogeneity between combination regimens. For example, we should also consider differences in synergies between chemotherapy and immunotherapy. Studies have shown that in addition to cytotoxic effects, conventional chemotherapy can also exert an immunomodulatory function by inducing immunogenic cell death or destroying immunosuppressive tumor microenvironment.Citation41 This reasonably explains the fact that immunotherapy combined with chemotherapy has a survival advantage over chemotherapy alone, especially in the non-immunogenic tumor microenvironment, which may be transformed into immunogenic microenvironment by chemotherapy to enhance the activity of immunotherapy.Citation42 Second, it is also related to the clinical features of the patients enrolled in our study, including smoking history, location, proportion of tumor tissues, and differences in PD-L1 determination methods.

Limitations also exist in our study. First, subgroup analysis was done on PD-L1 level only, and the results were controversial. Prediction based on PD-L1 level upon PD-1/L1 inhibitor efficacy cannot be applied to NSCLC patients.Citation43 Second, the characteristics of patients included in different RCTs may affect the efficacy of immunotherapy, such as patients’ metastatic sites. Results of a meta-analysis demonstrated that patients with brain metastases obtained improved OS by ICI+chemotherapy, while patients with liver metastasis benefit in OS from both ICI monotherapy and ICI+chemotherapy+anti-VEGF therapy.Citation44 Hence, subgroup analysis of baseline characteristics of patients is necessary to confirm our results. Last, most comparisons between interventions were indirect, and our main conclusions were based on relatively few clinical trials. Therefore, more experiments with more complete results are needed to support our conclusions.

In 2020, the FDA approved nivolumab+ipilimumab in combination with two cycles of chemotherapy for metastatic or recurrent NSCLC patients as first-line therapy.Citation45 This study also suggests that nivolumab+ipilimumab can be an optimal first-line therapy for NSCLC.

Authors’ contributions

Y L contributed to conceptualization and data curation. MY Z contributed to methodology and formal analysis. XY Z contributed to writing. JY N contributed to visualization. All authors have reviewed and approved the final manuscript.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data used to support the findings of this study are available from the corresponding author upon request.

Additional information

Funding

This study was supported in part by grants from the Health and Family Planning Commission of Hunan Province Research Project [No.C2019119] and the Natural Science Foundation of Hunan Province [No.2021JJ50097] . The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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