The safety of first and subsequent lines of PD-1/PD-L1 inhibitors monotherapy in non-small cell lung cancer patients: a meta-analysis
Original Article

The safety of first and subsequent lines of PD-1/PD-L1 inhibitors monotherapy in non-small cell lung cancer patients: a meta-analysis

Yilin Yang1,2#, Peilin Pang1,2#, Zihong Xie1,2#, Nian Wang3, Hengrui Liang4, Lei Zhao2,3

1Respiratory Medicine Department, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China; 2Nanshan College, Guangzhou Medical University, Guangzhou 511436, China; 3Department of Respiratory Medicine, The Sixth Affiliated Hospital, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou 511500, China; 4Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou 510120, China

Contributions: (I) Conception and design: Y Yang, P Pang, Z Xie; (II) Administrative support: H Liang, L Zhao; (III) Provision of study materials or patients: H Liang, L Zhao; (IV) Collection and assembly of data: Y Yang, P Pang, Z Xie; (V) Data analysis and interpretation: Y Yang, P Pang, Z Xie; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

#These authors contributed equally to this work.

Correspondence to: Lei Zhao. The Sixth Affiliated Hospital, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou 511500, China. Email: crystal-zl@163.com.

Background: In both first or subsequent therapy of patients with non-small cell lung cancer (NSCLC), some programmed cell death protein 1/programmed death-ligand 1 (PD-1/PD-L1) inhibitors have shown prominent efficacy and safety. However, the disease spectra of side effects in different therapy time might exist heterogeneity. In this meta-analysis, we assessed and compared the safety of PD-1/PD-L1 inhibitors in first or subsequent line therapy. And the system-specific disease spectra of both treatment-related adverse events (trAEs) and immune-related adverse events (irAEs) were summarized.

Methods: We performed a comprehensive search of online databases. Incidence and its 95% confidence interval (95% CI) were chosen as the main outcome to assess safety. The incidence of trAEs/irAEs was calculated, including discontinuation and death results. Besides, the most common trAEs/irAEs and system-specific treatment-related/immune-related disease spectra in different therapy lines were also collected.

Results: In total, 18 studies (5,649 patients) were included. First-line therapy had a higher risk of high-grade trAEs, any-grade irAEs and high-grade irAEs comparing with subsequent therapy (19.4% vs. 13.0%, P<0.001; 30.1% vs. 16.9%, P<0.001; 9.9% vs. 2.4%, P<0.001). The rate of discontinuation in first-line therapy were also higher (9.5% vs. 5.2%, P<0.001). However, the common system-specific trAEs of first-line and subsequent therapy were semblable, including gastrointestinal disorders, general disorders, skin and subcutaneous tissue disorders, investigations. As for irAEs, the frequent system-specific adverse events related to different therapy lines were also similar, including endocrine adverse events, dermatologic adverse events, pulmonary adverse events, and gastrointestinal adverse events. Especially, the incidence of pneumonitis always ranks high in most of the analyses, while for the high-grade toxicities, first-line therapy focuses more on liver-related disorders in trAEs/irAEs.

Conclusions: In summary, the incidence of trAEs in first-line therapy of PD-1/PD-L1 inhibitors in NSCLC is similar to the one in subsequent therapy, while the rate of having any-grade irAEs and high-grade trAEs/irAEs in first-line therapy is higher than the one in subsequent therapy. Meanwhile, there is no obvious heterogeneity for disease spectra in different therapy lines.

Keywords: Meta-analysis; non-small cell lung cancer (NSCLC); programmed cell death 1 protein (PD-1 protein); programmed cell death 1 ligand 1 (PD-L1); safety


Submitted Nov 12, 2019. Accepted for publication Mar 16, 2020.

doi: 10.21037/tcr.2020.03.82


Introduction

Lung cancer was related to 18.4% of deaths, and also was the most lethal tumor which led to 11.6% new cases of cancer in 2018 (1). Among lung cancer, non-small cell lung cancer (NSCLC) accounts for 84% (2). Two decades ago, chemotherapy had shown a unique effect in the treatment of NSCLC. Platinum-based doublet therapy has been the standard therapy for patients with advanced-stage NSCLC and good performance status (3). After the researcher found the mechanisms of gene mutation and function of the immune system in tumorigenesis, the evolution in the treatment and other therapy of NSCLC went faster. Targeted therapy and immunotherapy have come out one after another. Immunotherapy facilitates the recognition of cancer as foreign by the host immune system, then stimulates the immune system, and relieves the inhibition that allows growth and spread of disease (4).

From the latest studies, some of the programmed cell death protein 1/programmed death-ligand 1 (PD-1/PD-L1) inhibitors have shown better efficacy than conventional chemotherapy in second-line therapy. Besides the better survival curve, PD-1/PD-L1 inhibitors are also safer than chemotherapy. As a result, nivolumab (5-11) pembrolizumab (12), atezolizumab (13-15) and durvalumab (16) have been approved by Food and Drug Administration (FDA) for the treatment of patients with metastatic NSCLC in the second-line. Following the pace of second-line researches, the studies of first-line treatment of PD-1/PD-L1 inhibitors are currently in full swing. Fortunately, some PD-1/PD-L1 inhibitors have also shown good efficacy in first-line treatment. As the only one PD-1/PD-L1 inhibitor approved in first-line monotherapy of NSCLC, pembrolizumab has shown better treatment benefit in the patients with ≥1% of tumor cells expressing PD-L1, especially the patients with ≥50% PD-L1 expression (17,18). Basing on the IMpower 150 trial (19), patients who have metastatic non-squamous NSCLC with no epidermal growth factor receptor (EGFR) or anaplastic lymphoma kinase (ALK) genomic tumor aberrations received the first-line treatment of atezolizumab in combination with bevacizumab, paclitaxel, and carboplatin. More researches about first-line therapy of PD-1/PD-L1 inhibitors are ongoing. Many clinical trials and meta-analysis have shown that PD-1/PD-L1 inhibitors have fewer side effects than chemotherapy, no matter in first-line or subsequent therapy (5,6,10-13,15,17,18,20-22). However, the safety and disease spectra of side effects in different therapy time might have heterogeneity.

To figure out if there were any heterogeneity for the safety between first-line and subsequent therapy of PD-1/PD-L1 inhibitors in patients with NSCLC, we assessed and compared the safety of PD-1/PD-L1 inhibitors in first or subsequent line therapy, providing the following information for different therapy lines including incidence of adverse events, toxicity spectra, system-specific disease spectra as well as the rates of discontinuation and death.


Methods

Literature search

We searched in databases comprehensively, including PubMed, Cochrane library, and Embase using the following terms in English: (PD-1 OR PD-L1 OR “programmed death receptor 1” OR “programmed death receptor ligand” OR “immune checkpoint inhibitor” OR nivolumab OR BMS936558 OR ONO-4538 OR pembrolizumab OR MK-3475 OR atezolizumab OR Tecentriq OR durvalumab OR Imfinzi OR avelumab) AND (“non-small cell lung cancer” OR NSCLC). The articles should be identified as randomized controlled trials with publication date before February 01, 2020.

Inclusion criteria and Exclusion criteria

The eligibility criteria used for selecting studies in this meta-analysis were as following: (I) prospective clinical trials that provide detailed information about treatment-related adverse events (trAEs) and immune-related adverse events (irAEs), including the total number of patients, cases, and full side effects; (II) all patients were diagnosed with stage III/IV NSCLC with Eastern Cooperative Oncology Group (ECOG) performance status score of 0/1; (III) the treatment must be the first-line or subsequent monotherapy of PD-1/PD-L1 inhibitors; (IV) studies need to be in English. We used not only the full text but also the appendix and the references of each article would be used as the information resources. Studies that failed to meet the criteria above were excluded from this analysis; at the same time, we have chosen those that offered the most up-to-date and detailed data information as the primary data sources for this research. The other different studies from the same trial would be kept as the sources of other information supplements.

Data extraction and quality assessment

Two authors (YL Yang and PL Pang) evaluated each article independently. If there were any different opinions, the difference would be discussed with the third author (HR Liang). The data collected includes first author’s name, publication, publish year, phase of trials, blind method, trial name, NCT number, drug, therapy line, dose of drugs, trAEs (any grade and grade 3 or higher) classified by version 4.0 of the Common Terminology Criteria for Adverse Events (CTCAE 4.0) (23) of the National Cancer Institute, irAEs (any grade and grade 3 or higher) classified by the guideline of managing toxicities associated with immune checkpoint inhibitors (24), the sample size included in safety study, the number of patients with trAEs/irAEs as well as the number of discontinuation and deaths. The incidence and its 95% confidence interval (95% CI) of toxicities is used as a primary indicator of safety.

Statistical analysis

The incidence and its 95% CI were assessed by meta-analysis. The disease spectra of trAEs and irAEs were assessed by ranking the incidence of toxicities. In this process, heterogeneity was evaluated by Q test and I2 statistic. I2 over 50% (I2>50%) and P less than 0.05 (P<0.05) were considered as being with high heterogeneity. The random-effects model was used to calculate the summary estimate with high heterogeneity. Otherwise the fixed-effects model would replace it. The chi-square test was used to evaluate the statistical difference between different incidence, and a p-value of less than 0.05 (P<0.05) was considered as statistical significance. All of the statistical analysis was achieved by Statistical Product and Service Solutions version 24.0 (SPSS 24.0) and R studio Version 1.1.442, using the meta-package.


Results

Study selection and characteristics

After the checking of duplicates, a total of 2,465 articles remained. By reading the titles and abstracts, 2,441 studies which were not meet the filter criteria were excluded from the research. Ultimately, after we carefully read the full text, we chose 19 articles (18 studies) (5-18,20,21,25-27). The summarizing process of study selection was showed in the flow chart (Figure 1), and the details of the included studies were listed in the following table (Table 1).

Figure 1 Flow chart of studies selection and exclusion.

Table 1

Information of the included studies

Author Publication Publish Year Phase Blind Trial Name Drug Therapy line Dose Age (median) No. of Patients
Gettinger (25) J Clin Oncol 2016 I Open-label CheckMate 012 Nivolumab First-line 3 mg/kg Q2W 67 52
Carbone (20) N Engl J Med 2017 III Open-label CheckMate 026 Nivolumab First-line 3 mg/kg Q2W 63 267
Hellmann (26) N Engl J Med 2019 III Open-label Checkmate 227 Nivolumab First-line 240 mg Q2W 64 391
Borghaei (5) N Engl J Med 2015 III Open-label Checkmate 057 Nivolumab Subsequence 3 mg/kg Q2W 61 287
Brahmer (6) N Engl J Med 2015 III Open-label Checkmate 017 Nivolumab Subsequence 3 mg/kg Q2W 62 131
Gettinger (7) J Clin Oncol 2015 I Open-label - Nivolumab Subsequence 1, 3 or 10 mg/kg Q2W 65 129
Rizvi (8) Lancet Oncol 2015 II Open-label CheckMate 063 Nivolumab Subsequence 3 mg/kg Q2W 65 117
Hida (9) Cancer Sci 2017 II Open-label - Nivolumab Subsequence 3 mg/kg Q2W 65 35
Vokes (10) Ann Oncol 2018 III Open-label Checkmate 017 and Checkmate 057 Nivolumab Subsequence 3 mg/kg Q2W 61 418
Wu (11) J Thorac Oncol 2019 III Open-label Checkmate 078 Nivolumab Subsequence 3 mg/kg Q2W 60 337
Reck (17) J Clin Oncol 2019 III Open-label Keynote-024 Pembrolizumab First-line 200 mg Q3W 64.5 154
Mok (18) Lancet 2019 III Open-label Keynote-042 Pembrolizumab First-line 200 mg Q3W 63 636
Herbst (12) Lancet 2016 II/III Open-label Keynote-010 Pembrolizumab Subsequence 2 mg/kg Q2W, 10 mg/kg Q2W 63 682
Peters (14) J Clin Oncol 2017 II Open-label BIRCH Atezolizumab First-line and Subsequence 1,200 mg Q3W 64 659
Fehrenbacher (15) Lancet 2016 II Open-label POPLAR Atezolizumab Subsequence 1,200 mg Q3W 62 142
Rittmeyer (13) Lancet 2017 III Open-label OAK Atezolizumab Subsequence 1,200 mg Q3W 63 609
Gulley (27) Lancet Oncol 2017 Ib Open-label JAVELIN Solid Tumor Avelumab Subsequence 10 mg/kg Q2W 65 184
Barlesi (21) Lancet 2018 III Open-label JAVELIN Lung 200 Avelumab Subsequence 10 mg/kg Q2W 64 393
Garassino (16) Lancet 2018 II Open-label ATLANTIC Durvalumab Subsequence 10 mg/kg Q2W 62 444

, the number of patients calculated in the safety analysis.

trAEs

A total of 5,649 patients in 18 studies (6 of first-line therapy and 13 of subsequent therapy, Peters et al. (2017) (14) containing both first-line and subsequent therapy) were included in this analysis. The incidence of any-grade trAEs in different therapy line were similar (67.5% vs. 66.7%) (Figures 2A,S1, Table S1), with no statistically significant difference (P=0.710). As for high-grade trAEs, the incidence in first-line therapy was higher than the one of subsequent line (19.4% vs. 13.0%, P<0.001) (Figures 2A,S2, Table S1). In other words, first-line therapy was more accessible to lead to high-grade trAEs than subsequent therapy.

Figure 2 Incidence of adverse events in different therapy lines. (A) Including the incidence of treatment-related adverse events of different grades in different therapy time, and the incidence of discontinuation and incidence of death which attributes to treatment; (B) incidence of immune-related adverse events of different grades in different therapy time.

The common any-grade trAEs in first-line and subsequent therapy were similar, including fatigue, diarrhoea, nausea, and rash (Tables S2,S3). Besides, the incidence of aminotransferase increased was more obvious in first-line therapy. For high-grade trAEs, diarrhoea (1.1%), alanine aminotransferase increased (0.7%), pneumonitis (0.7%), rash (0.6%) and aspartate aminotransferase increased (0.5%) were the most frequent adverse events in first-line therapy (Table S4). Among the subsequent therapy, there were pneumonitis (0.8%), fatigue (0.8%), infusion-related reaction (0.2%), diarrhoea (0.2%) and γ-glutamyltransferase increased (0.1%) (Table S5).

irAEs

A total of 3,361 patients were evaluated across nine studies (two of first-line therapy, seven of subsequent therapy). Because only four studies in the subsequent therapy had mentioned the number of overall patients with irAEs, we calculated the overall incidence of irAEs in subsequent therapy from these four studies data. For the same reason, two of these four studies were incorporated in the analysis of high-grade irAEs. The morbidity of any-grade irAEs due to first-line therapy of PD-1/PD-L1 inhibitors in NSCLC patients was 30.1%. In comparison, the rate of subsequent therapy was 16.9% (Figures 2B,S3, Table S1) which is lower than the one of first-line therapy (P<0.001). In the analysis of high-grade irAEs, the incidence of first-line therapy was 9.9%, and the one of subsequent therapy was 2.4%. Alike the high-grade trAEs, the incidence of irAEs in first-line therapy was higher (P<0.001) (Figures 2B,S4, Table S1). Therefore, the relationship between first-line treatment and irAEs is closer than subsequent treatment, not only in any-grade irAEs but also in high-grade irAEs.

The most common any-grade irAEs of first-line therapy were hypothyroidism (11.7%), pneumonitis (8.2%), hyperthyroidism (6.3%), severe skin reactions (3.3%), and infusion reaction (3.0%) (Table S6). Meanwhile, any-grade irAEs of subsequent therapy were similar to the one of first-line therapy, including hypothyroidism (3.1%), pneumonitis (2.2%), rash (0.8%), hyperthyroidism (0.7%), and severe skin reactions (0.4%) (Table S7). As for the high-grade irAEs, the frequent adverse events were also similar such as pneumonitis and severe skin reactions. Besides these two irAEs, the common high-grade irAEs of first-line therapy also included hepatitis (1.1%), while colitis (0.1%) was ranked third in the subsequent therapy (Tables S8,S9).

Discontinue and death

Discontinuations due to trAEs were reported in 18 studies, happening in 350 of 5,183 patients. The discontinuation rate of first-line therapy was 9.5% (95% CI: 6.6–12.5%; I2=73% P<0.001) and the incidence for subsequent therapy was 5.2% (95% CI: 3.5–7.0%; I2=85% P<0.001). Death occurred in 42 of 5,205 patients, and the rate of deaths in first-line and subsequent therapy was 0.9% (95% CI: 0.4–1.5%; I2=38% P=0.15) and 0.5% (95% CI: 0.1–0.9%; I2=52% P=0.02), respectively (Figure 2A). The difference between the first-line and subsequent therapy of the rate of discontinuation is statistically significant (P<0.001). However, the statistical difference in the rate of death is not obvious.

System-specific disease spectra

According to CTCAE 4.0 (23) and the guideline of managing toxicities associated with immune checkpoint inhibitors (ICI) (24), we classified the adverse events to obtain the system-specific disease spectra of trAEs and irAEs in first-line or subsequent therapy of PD-1/PD-L1 inhibitors in NSCLC. For any-grade trAEs, the frequent system-specific adverse events that blame to PD-1/PD-L1 inhibitors for different therapy line were nearly the same. The typical treatment-related system-specific disease spectra at each grade in different therapy time were shown in Figure 3. Besides, the incidence of each system and the detailed systems of “others” were listed in the supplementary appendix (Tables S10-S13).

Figure 3 The proportion of different treatment-related system-specific disease spectra. (A) The proportion of different treatment-related system-specific disease spectra of any grade in first-line therapy; (B) the proportion of different treatment-related high-grade system-specific disease spectra of high grades in first-line therapy; (C) the proportion of different treatment-related system-specific disease spectra of any grade in subsequent therapy; (D) the proportion of different treatment-related system-specific disease spectra of high grades in subsequent therapy. The proportion is not the same as the incidence, and it means the proportion of different system-specific disease spectra among all system-specific disease spectra.

Notably, the spectra of system-specific irAEs were mostly different from those of trAEs. For any-grade irAEs, the most common system-specific irAEs were exactly alike between different therapy line. The common irAEs at each grade in different therapy time were shown in the figure below (Figure 4). More information was offered in the supplementary appendix (Tables S14-S17).

Figure 4 The proportion of different immune-related system-specific disease spectra. (A) The proportion of different immune-related system-specific disease spectra of any grade in first-line therapy; (B) the proportion of different immune-related system-specific disease spectra of high grades in first-line therapy; (C) the proportion of different immune-related system-specific disease spectra of any grade in subsequent therapy; (D) the proportion of different immune-related system-specific disease spectra of high grades in subsequent therapy. The proportion is not the same as the incidence, and it means the proportion of different system-specific disease spectra among all system-specific disease spectra. Unknown includes the disorders that can not be classified with the guideline of managing toxicities associated with immune checkpoint inhibitors.

Discussion

Many trials have proved that PD-1/PD-L1 inhibitors have fewer side effects than chemotherapy (28). Recently, most PD-1/PD-L1 inhibitors have shown better efficacy and safety in subsequent therapy. Therefore, some clinical trials are working on the application of PD-1/PD-L1 inhibitors in first-line therapy (29). However, there has been no research on the comparison between the safety of PD-1/PD-L1 inhibitors in first-line and subsequent therapy. As more and more PD-1/PD-L1 inhibitors are approved in the first-line therapy, we believe that comparing the safety of first-line and subsequent therapy is conducive to the precision of treatment.

In this research, we found that first-line therapy was more likely to have adverse events than subsequent therapy, which may be related to two following reasons. Firstly, organisms had been changed after chemotherapy or other first-line therapy. Some studies have proved that chemotherapy may damage the immune system after the treatment (30). Meanwhile, PD-1 and PD-L1 targeting is an efficient way to maintain the function of effector T-cells (31), which is the primary mechanism of PD-1/PD-L1 inhibitors. Therefore, if the immune system had damaged by chemotherapy, the response of organisms to PD-1/PD-L1 inhibitors would probably be weaker. Secondly, the tumor of patients in different treatment lines had different degrees of malignancy or sensitivity to drugs. Entering the subsequent therapy means that the patients have a recurrence after remission of first-line therapy, or there is no relief after the first-line treatment, which shows that the tumor of these patients may be more malignant and less sensitive to the anti-tumor drugs. According to the mechanism mentioned above, this characteristic may also be one of the reasons for the difference between the incidence of adverse events in various therapy time.

Besides, some researches have shown that the irAEs of ICI are associated with its clinical outcome (32). Clinical trial data for each drug on different treatment lines showed that both overall survival (OS) and progress free survival (PFS) were higher in first-line therapy than subsequent therapy. Besides, the objective response rate (ORR) of first-line treatment is generally higher than the subsequent line. Nivolumab had an ORR of 23.0–26.0% in first-line treatment and 14.5–18.0% in second-line treatment (7-10,20,25,26). For pembrolizumab, the rate was 27.3–44.8% and 18% for first-line and second-line therapy, respectively (12,17,18).

Similarly, the rate of Atezolizumab was 22% for the first line and 14–19% for the subsequent line (13,14). It can be seen that a higher incidence of side effects in first-line treatment is not surprising. It also confirms our previous statement that the differences in the incidence of adverse events are related to the different responding degrees of organism and tumor to the drug. However, the incidence of any-grade trAEs in first-line therapy and subsequent therapy is similar, which is different from the results of high-grade trAEs, any-grade irAEs, and high-grade irAEs. We find that most of the common high-grade trAEs were also belong to irAEs, which is consistent with the result of previous studies (33). IrAEs are thought to result from either induction of autoimmunity or due to a proinflammatory state which means that the happening of irAEs is more related to the state of patients’ immune system (34). According to the content mentioned above, the insignificant difference in the incidence of any-grade trAEs may be attributable to the different mechanisms of common trAEs.

In terms of the spectra of adverse events, there were not many differences between first-line and subsequent therapy. Regarding trAEs, any-grade, and high-grade adverse events mainly related to the gastrointestinal tract, general conditions, skin and nutrition, among which the gastrointestinal adverse events were numerous and frequent. As for the irAEs, the endocrine system, respiratory system and skin were the most common systems involved. These consequences are consistent with the previous research (35). The result may affiliate with the mechanism of the emergence of adverse events due to PD-1/PD-L1 inhibitors.

According to recent articles, the following mechanisms were the reasons of the adverse events which was related to ICI, especially the irAEs: increasing T-cell activity against antigens that are present in tumors and healthy tissue, increasing levels of preexisting autoantibodies, increasing level of inflammatory cytokines, enhancing complement-mediated inflammation due to direct binding of a PD-1/PD-L1 antibody with PD-1/PD-L1 expressed on normal tissue. However, the reason for the system-specific phenomenon is still unclear (36).

Although there are many mechanisms, we can find that no matter in first-line or subsequent therapy, the common adverse events are similar, which means that the mechanisms leading to toxicities have not changed after first-line treatment with other therapies. Nevertheless, the incidence of pneumonitis ranked high in most of the analyses. Although the precise underlying mechanism remains unclear, some authors declared that alveolar macrophages might hyperactivate in patients receiving anti-PD-1 agents (37). Moreover, different from the subsequent therapy, the most common high-grade trAEs and irAEs in first-line therapy were both related to the liver according to the outcomes of specific adverse events. As the reason that the liver mainly metabolizes chemotherapy drugs, we consider that the main factor might be the damage led by the first-line therapy with other treatments as well, which has been mentioned above.

According to our results, there is some guiding significance for clinical medication of PD-1/PD-L1 inhibitors in the future. Firstly, we consider that patients with first-line therapy should be more alert to adverse effects. Secondly, clinicians should be alert to common side effects and should be adequately prepared and responded to promptly, such as the timely application of steroids. Thirdly, higher incidence of adverse events in first-line therapy prompts that for patients who are not in a good general condition, especially those with severe basal diseases in the gastrointestinal system, skin, respiratory system, thyroid gland and liver, the consideration of whether the benefit of first-line therapy is balanced with adverse reactions is necessary. Because there is a particular relationship between the efficacy of immunotherapy and the occurrence of side effects, side effects always exist in a typical proportion. At present, most of the coping methods are withdrawal. Therefore, for scientific research in the future, as most of the mechanisms of different adverse events are still unclear, the mechanisms should be studied in detail to manage the adverse events better.

However, this research still has some flaws. Firstly, the simples of first-line therapy and irAEs were not large enough, which might lead to deviations in results. Therefore, the meaning of the results on the two aspects are limited. We believe that, along with the progress of many trials about first-line therapy, there will be more authoritative and valuable results to provide more evidence for drug applications. Secondly, more and more researches and clinical applications tend to push PD-1/PD-L1 inhibitors into the direction of combination therapy. However, there are many types of combination therapy, and the mechanism of side effects caused by the combination is not very clear. Meanwhile, the number of trials of each kind of combination therapy is still limited. Because of the complexity and limited data of combination therapy, we currently chose to study the monotherapy of PD-1/PD-L1 inhibitors. In the future, to make the research more closer to clinical practice, it is valuable to assess the safety of combination therapy in different therapy lines.


Conclusions

In summary, the overall treatment-related safety of first-line therapy of PD-1/PD-L1 inhibitors in NSCLC is similar to the one of subsequent therapy. In contrast, the rate of having any-grade irAEs and high-grade adverse events in first-line therapy is higher. Meanwhile, there is no evident heterogeneity for disease spectra in different therapy lines.

Figure S1 Forest plot of the incidence of any-grade trAEs in first-line and subsequent therapy.
Figure S2 Forest plot of the incidence of high-grade trAEs in first-line and subsequent therapy.
Figure S3 The incidence of any-grade irAEs in first-line and subsequent therapy.
Figure S4 The incidence of high-grade irAEs in first-line and subsequent therapy

Table S1

The incidence of adverse events in first-line and subsequent therapy

Category (trAEs/irAEs and First/Subsequent line) Any-grade Adverse Events Grade 3 or Higher Adverse Events
Patients/total Incidence I2 Patients/total Incidence I2
First-line therapy of trAEs 1,081/1,639 0.675 [0.626; 0.727] 76% 313/1,639 0.194 [0.150; 0.250] 82%
Subsequent therapy of trAEs 2,624/4,010 0.667 [0.640; 0.696] 70% 504/4,010 0.130 [0.120; 0.141] 48%
First-line therapy of irAEs 229/790 0.301 [0.249; 0.364] 57% 71/790 0.099 [0.057; 0.151] 70%
Subsequent therapy of irAEs 289/1,703 0.169 [0.138; 0.207] 70% 15/628 0.024 [0.013; 0.037] 0%

, the number of “patients” was the number of patients with the adverse events; , the number of “Total” is the total number of patients who participated in the safety analysis in all articles included in the analysis. trAEs, treatment-related adverse events; irAEs, immune-related adverse events.

Table S2

The 10 top common treatment-related adverse events of first-line therapy

First line (Treatment-related adverse events) Any-grade treatment-related adverse events
Patients/total Incidence I2
Fatigue 187/1,500 0.151 [0.094; 0.218] 90%
Diarrhoea 151/1,500 0.114 [0.068; 0.169] 87%
Rash 141/1,500 0.100 [0.074; 0.128] 60%
Nausea 108/1,500 0.081 [0.052; 0.116] 77%
Pruritus 124/1,500 0.081 [0.067; 0.095] 1%
Decreased appetite 113/1,500 0.068 [0.040; 0.102] 78%
Hypothyroidism 89/1,500 0.030 [0.000; 0.102] 97%
Asthenia 65/1,500 0.024 [0.005; 0.055] 87%
Aspartate aminotransferase increased 65/1,500 0.022 [0.000; 0.074] 95%
Alanine aminotransferase increased 65/1,500 0.021 [0.000; 0.072] 95%

, the number of “patients” was the number of patients with the adverse events; , the number of “Total” is the total number of patients who participated in the safety analysis in all articles included in the analysis.

Table S3

The 10 top common any-grade treatment-related adverse events of subsequent therapy

Subsequence (Treatment-related adverse events) Any grade treatment-related adverse events
Patients/total Incidence I2
Fatigue 510/3,490 0.151 [0.115; 0.191] 89%
Decreased appetite 317/3,490 0.093 [0.055; 0.139] 94%
Nausea 288/3,490 0.080 [0.049; 0.116] 92%
Diarrhoea 185/3,490 0.052 [0.023; 0.090] 95%
Asthenia 218/3,490 0.040 [0.017; 0.071] 93%
Rash 173/3,490 0.033 [0.006; 0.078] 97%
Vomiting 97/3,490 0.024 [0.009; 0.044] 89%
Pruritus 132/3,490 0.019 [0.002; 0.048] 95%
Hypothyroidism 142/3,490 0.018 [0.002; 0.045] 95%
Infusion-related reaction 118/3,490 0.017 [0.000; 0.051] 97%

, the number of “patients” was the number of patients with the adverse events; , the number of “Total” is the total number of patients who participated in the safety analysis in all articles included in the analysis.

Table S4

The 5 top common treatment-related adverse events of first-line therapy

First line (Treatment-related adverse events) Grade 3 or higher treatment-related adverse events
Patients/total Incidence I2
Diarrhoea 17/1,500 0.011 [0.003; 0.022] 53%
Alanine aminotransferase increased 17/1,500 0.007 [0.000; 0.022] 78%
Pneumonitis 23/1,500 0.007 [0.000; 0.024] 81%
Rash 12/1,500 0.006 [0.002; 0.011] 18%
Aspartate aminotransferase increased 12/1,500 0.005 [0.000; 0.018] 74%

, the number of “patients” was the number of patients with the adverse events; , the number of “Total” is the total number of patients who participated in the safety analysis in all articles included in the analysis.

Table S5

The 5 top common high-grade treatment-related adverse events of subsequent therapy

Subsequence (Treatment-related adverse events) Grade 3 or higher treatment-related adverse event
Patients†/total‡ Incidence I2
Pneumonitis 31/2,739 0.008 [0.003; 0.017] 62%
Fatigue 29/2,739 0.008 [0.003; 0.015] 57%
Infusion-related reaction 13/2,739 0.002 [0.000; 0.007] 67%
Diarrhoea 13/2,739 0.002 [0.000; 0.005] 46%
γ-glutamyltransferase increased 9/2,739 0.001 [0.000; 0.003] 18%

, the number of “patients” was the number of patients with the adverse events; , the number of “Total” is the total number of patients who participated in the safety analysis in all articles included in the analysis.

Table S6

The 5 top common any-grade immune-related adverse events of first-line therapy

First line (Immune-related adverse events) Any Grade Immune-related Adverse Events
Patients/total Incidence I2
Hypothyroidism 93/790 0.117 [0.095; 0.140] 0%
Pneumonitis 65/790 0.082 [0.063; 0.101] 0%
Hyperthyroidism 50/790 0.063 [0.046; 0.080] 0%
Severe skin reactions 23/790 0.033 [0.007; 0.058] 54%
Infusion reaction 18/790 0.030 [0.000; 0.064] 73%

, the number of “patients” was the number of patients with the adverse events; , the number of “Total” is the total number of patients who participated in the safety analysis in all articles included in the analysis.

Table S7

The 5 top common any-grade immune-related adverse events of subsequent therapy

Subsequence (Immune-related adverse events) Any grade immune-related adverse events
Patients/total Incidence I2
Hypothyroidism 121/2571 0.031 [0.006; 0.073] 95%
Pneumonitis 65/2571 0.022 [0.012; 0.036] 73%
Rash 27/2571 0.008 [0.000; 0.025] 91%
Hyperthyroidism 47/2571 0.007 [0.000; 0.024] 91%
Diarrhoea 15/2571 0.004 [0.000; 0.015] 84%

, the number of “patients” was the number of patients with the adverse events; , the number of “Total” is the total number of patients who participated in the safety analysis in all articles included in the analysis.

Table S8

The 3 top common high-grade immune-related adverse events of first-line therapy

First line (Immune-related adverse events) Grade 3 or higher immune-related adverse events
Patients/total Incidence I2
Pneumonitis 26/790 0.034 [0.024; 0.049] 0%
Severe skin reactions 19/790 0.031 [0.010; 0.090] 84%
Hepatitis 8/790 0.011 [0.006; 0.022] 0%

, the number of “patients” was the number of patients with the adverse events; , the number of “Total” is the total number of patients who participated in the safety analysis in all articles included in the analysis.

Table S9

The 3 top common high-grade immune-related adverse events of subsequent therapy

Subsequence (Immune-related adverse events) Grade 3 or higher immune-related adverse events
Patients/total Incidence I2
Pneumonitis 26/2178 0.010 [0.006; 0.015] 38%
Severe skin reactions 9/2178 0.001 [0.000; 0.006] 69%
Colitis 5/2178 0.001 [0.000; 0.003] 34%

, the number of “patients” was the number of patients with the adverse events; , the number of “Total” is the total number of patients who participated in the safety analysis in all articles included in the analysis.

Table S10

The incidence of any-grade treatment-related system-specific disease spectra in first-line therapy

Disorders First line
Any grade (%) Proportion 95% CI (%)
General disorders and administration site conditions 30.40 [18.48, 42.31]
Gastrointestinal disorders 28.06 [16.28, 39.84]
Skin and subcutaneous tissue disorders 22.23 [14.83, 29.63]
Investigations 9.46 [0.10, 18.82]
Endocrine disorders 5.76 [0.00, 14.22]
Nervous system disorders 4.45 [0.00, 4.59]
Blood and lymphatic system disorders 3.94 [0.46, 7.41]
Metabolism and nutrition disorders 3.40 [0.00, 9.27]
Respiratory, thoracic and mediastinal disorders 2.51 [0.00, 6.79]
Infections and infestations 1.80 [0.17, 3.42]
Neoplasms benign, malignant and unspecified (incl cysts and polyps) 0.85 [0.00, 2.39]
Cardiac disorders 0.38 [0.00, 1.45]
Eye disorders 0.00 [0.00, 0.00]
Hepatobiliary disorders 0.00 [0.00, 0.00]
Immune system disorders 0.00 [0.00, 0.00]
Injury, poisoning and procedural complications 0.00 [0.00, 0.00]
Musculoskeletal and connective tissue disorders 0.00 [0.00, 0.00]
Psychiatric disorders 0.00 [0.00, 0.00]
Renal and urinary disorders 0.00 [0.00, 0.00]
Vascular disorders 0.00 [0.00, 0.00]
unknown 0.00 [0.00, 0.00]
Congenital, familial and genetic disorders 0.00 [0.00, 0.00]
Ear and labyrinth disorders 0.00 [0.00, 0.00]
Pregnancy, puerperium and perinatal conditions 0.00 [0.00, 0.00]
Reproductive system and breast disorders 0.00 [0.00, 0.00]
Social circumstances 0.00 [0.00, 0.00]
Surgical and medical procedures 0.00 [0.00, 0.00]

, disorders that can not be classified with Common Terminology Criteria for Adverse Events version 4.0.

Table S11

The incidence of high-grade treatment-related system-specific disease spectra of first-line therapy

Disorders First line
Grade 3–5 (%) Proportion 95% CI (%)
Investigations 3.18 [0.00, 7.54]
Gastrointestinal disorders 1.83 [0.29, 3.36]
Skin and subcutaneous tissue disorders 1.56 [0.00, 3.17]
General disorders and administration site conditions 1.31 [0.29, 2.33]
Metabolism and nutrition disorders 1.15 [0.00, 4.36]
Respiratory, thoracic and mediastinal disorders 1.14 [0.00, 2.82]
Blood and lymphatic system disorders 0.67 [0.84, 1.25]
Infections and infestations 0.44 [0.00, 1.48]
Cardiac disorders 0.38 [0.00, 1.45]
unknown 0.26 [0.00, 0.98]
Endocrine disorders 0.06 [0.00, 0.24]
Musculoskeletal and connective tissue disorders 0.03 [0.00, 0.12]
Eye disorders 0.00 [0.00, 0.00]
Hepatobiliary disorders 0.00 [0.00, 0.00]
Immune system disorders 0.00 [0.00, 0.00]
Injury, poisoning and procedural complications 0.00 [0.00, 0.00]
Neoplasms benign, malignant and unspecified (incl cysts and polyps) 0.00 [0.00, 0.00]
Nervous system disorders 0.00 [0.00, 0.00]
Psychiatric disorders 0.00 [0.00, 0.00]
Renal and urinary disorders 0.00 [0.00, 0.00]
Vascular disorders 0.00 [0.00, 0.00]
Congenital, familial and genetic disorders 0.00 [0.00, 0.00]
Ear and labyrinth disorders 0.00 [0.00, 0.00]
Pregnancy, puerperium and perinatal conditions 0.00 [0.00, 0.00]
Reproductive system and breast disorders 0.00 [0.00, 0.00]
Social circumstances 0.00 [0.00, 0.00]
Surgical and medical procedures 0.00 [0.00, 0.00]

, disorders that can not be classified with Common Terminology Criteria for Adverse Events version 4.0.

Table S12

The incidence of any-grade treatment-related system-specific disease spectra of subsequent therapy

Disorders First line
Any grade (%) Proportion 95% CI (%)
General disorders and administration site conditions 39.04 [28.38, 49.70]
Gastrointestinal disorders 19.90 [12.52, 27.28]
Skin and subcutaneous tissue disorders 9.48 [3.54, 15.42]
Investigations 5.33 [1.56, 9.11]
Musculoskeletal and connective tissue disorders 4.32 [1.85, 6.80]
Respiratory, thoracic and mediastinal disorders 3.44 [1.14, 5.73]
Blood and lymphatic system disorders 3.20 [1.71, 4.69]
Endocrine disorders 2.66 [0.58, 4.74]
Nervous system disorders 2.15 [0.51, 3.80]
Metabolism and nutrition disorders 1.25 [0.00, 2.66]
Immune system disorders 1.17 [0.00, 3.07]
Infections and infestations 0.79 [0.13, 1.45]
Vascular disorders 0.30 [0.01, 0.59]
unknown 0.25 [0.00, 0.50]
Cardiac disorders 0.09 [0.00, 0.24]
Injury, poisoning and procedural complications 0.04 [0.00, 0.13]
Renal and urinary disorders 0.04 [0.00, 0.09]
Hepatobiliary disorders 0.02 [0.00, 0.06]
Psychiatric disorders 0.02 [0.00, 0.06]
Eye disorders 0.00 [0.00, 0.00]
Neoplasms benign, malignant and unspecified (incl cysts and polyps) 0.00 [0.00, 0.00]
Congenital, familial and genetic disorders 0.00 [0.00, 0.00]
Ear and labyrinth disorders 0.00 [0.00, 0.00]
Pregnancy, puerperium and perinatal conditions 0.00 [0.00, 0.00]
Reproductive system and breast disorders 0.00 [0.00, 0.00]
Social circumstances 0.00 [0.00, 0.00]
Surgical and medical procedures 0.00 [0.00, 0.00]

, disorders that can not be classified with Common Terminology Criteria for Adverse Events version 4.0.

Table S13

The incidence of high-grade treatment-related system-specific disease spectra of subsequent therapy

Disorders First line
Grade 3–5 (%) Proportion 95% CI (%)
Investigations 1.49 [0.42, 2.56]
General disorders and administration site conditions 1.48 [0.63, 2.32]
Respiratory, thoracic and mediastinal disorders 1.26 [0.28, 2.23]
Gastrointestinal disorders 0.89 [0.30, 1.48]
Skin and subcutaneous tissue disorders 0.38 [0.00, 0.82]
Blood and lymphatic system disorders 0.35 [0.15, 0.55]
Vascular disorders 0.29 [0.00, 0.62]
Musculoskeletal and connective tissue disorders 0.27 [0.00, 0.56]
Metabolism and nutrition disorders 0.25 [0.00, 0.55]
Immune system disorders 0.23 [0.00, 0.56]
Infections and infestations 0.23 [0.02, 0.43]
Nervous system disorders 0.19 [0.00, 0.41]
unknown 0.18 [0.00, 0.41]
Cardiac disorders 0.14 [0.00, 0.29]
Endocrine disorders 0.14 [0.00, 0.31]
Renal and urinary disorders 0.04 [0.00, 0.09]
Hepatobiliary disorders 0.02 [0.00, 0.06]
Psychiatric disorders 0.02 [0.00, 0.06]
Eye disorders 0.00 [0.00, 0.00]
Injury, poisoning and procedural complications 0.00 [0.00, 0.00]
Neoplasms benign, malignant and unspecified (incl cysts and polyps) 0.00 [0.00, 0.00]
Congenital, familial and genetic disorders 0.00 [0.00, 0.00]
Ear and labyrinth disorders 0.00 [0.00, 0.00]
Pregnancy, puerperium and perinatal conditions 0.00 [0.00, 0.00]
Reproductive system and breast disorders 0.00 [0.00, 0.00]
Social circumstances 0.00 [0.00, 0.00]
Surgical and medical procedures 0.00 [0.00, 0.00]

, disorders that can not be classified with Common Terminology Criteria for Adverse Events version 4.0.

Table S14

The incidence of any-grade immune-related system-specific disease spectra of first-line therapy

Disorders First line
Any (%) Proportion 95% CI (%)
Endocrine adverse events 20.30 [14.15, 26.44]
Pulmonary adverse events 8.38 [0.94, 15.81]
Gastrointestinal adverse events 3.93 [0.00, 19.96]
Dermatologic adverse events 3.78 [0.00, 21.80]
Hematologic adverse events 3.38 [0.00, 26.40]
Rheumatologic/musculoskeletal adverse events 0.97 [0.00, 13.35]
Renal adverse events 0.56 [0.00, 1.69]
Neurologic adverse events 0.56 [0.00, 1.69]
Ophthalmologic adverse events 0.32 [0.00, 4.45]
Cardiovascular adverse events 0.08 [0.00, 1.08]
Unknown 0.00 [0.00, 0.00]
Infusion reactions 0.00 [0.00, 0.00]

, disorders that can not be classified with the guideline of managing toxicities associated with immune checkpoint inhibitors.

Table S15

The incidence of high-grade immune-related system-specific disease spectra of first-line therapy

Disorders First line
Grade 3–5 (%) Proportion 95% CI (%)
Dermatologic adverse events 3.46 [0.00, 25.48]
Pulmonary adverse events 3.19 [0.00, 10.66]
Gastrointestinal adverse events 2.49 [0.00, 12.13]
Neurologic adverse events 0.56 [0.00, 1.69]
Endocrine adverse events 0.48 [0.00, 2.61]
Renal adverse events 0.40 [0.00, 3.53]
Hematologic adverse events 0.40 [0.00, 3.53]
Ophthalmologic adverse events 0.32 [0.00, 4.45]
Cardiovascular adverse events 0.08 [0.00, 1.08]
Rheumatologic/musculoskeletal adverse events 0.00 [0.00, 0.00]
Unknown 0.00 [0.00, 0.00]
Infusion reactions 0.00 [0.00, 0.00]

, disorders that can not be classified with the guideline of managing toxicities associated with immune checkpoint inhibitors.

Table S16

The incidence of any-grade immune-related system-specific disease spectra of subsequent therapy

Disorders Subsequence
Any grade (%) Proportion 95% CI (%)
Endocrine adverse events 5.62 [1.02, 10.23]
Dermatologic adverse events 3.80 [0.00, 9.29]
Pulmonary adverse events 3.35 [1.92, 4.79]
Unknown 2.36 [0.00, 5.20]
Gastrointestinal adverse events 2.14 [0.00, 4.83]
Renal adverse events 0.24 [0.00, 0.84]
Rheumatologic/musculoskeletal adverse events 0.18 [0.00, 0.40]
Ophthalmologic adverse events 0.16 [0.00, 0.54]
Infusion reactions 0.08 [0.00, 0.27]
Neurologic adverse events 0.07 [0.00, 0.19]
Cardiovascular adverse events 0.00 [0.00, 0.00]
Hematologic adverse events 0.00 [0.00, 0.00]

, disorders that can not be classified with the guideline of managing toxicities associated with immune checkpoint inhibitors.

Table S17

The incidence of high-grade immune-related system-specific disease spectra of subsequent therapy

Disorders Subsequence
Grade 3–5 (%) Proportion 95% CI (%)
Pulmonary adverse events 1.50 [0.34, 2.65]
Unknown 0.91 [0.00, 2.64]
Gastrointestinal adverse events 0.81 [0.00, 1.17]
Dermatologic adverse events 0.58 [0.00, 1.37]
Infusion reactions 0.09 [0.00, 0.32]
Neurologic adverse events 0.09 [0.00, 0.23]
Endocrine adverse events 0.07 [0.00, 0.26]
Renal adverse events 0.00 [0.00, 0.00]
Rheumatologic/musculoskeletal adverse events 0.00 [0.00, 0.00]
Ophthalmologic adverse events 0.00 [0.00, 0.00]
Cardiovascular adverse events 0.00 [0.00, 0.00]
Hematologic adverse events 0.00 [0.00, 0.00]

, disorders that can not be classified with the guideline of managing toxicities associated with immune checkpoint inhibitors.


Acknowledgments

Funding: This work was supported by the Medical Research Cooperation Project Between Qingyuan People's hospital and School of Basic Medical Sciences of Guangzhou Medical University (No. 1014158).


Footnote

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/tcr.2020.03.82). The authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


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Cite this article as: Yang Y, Pang P, Xie Z, Wang N, Liang H, Zhao L. The safety of first and subsequent lines of PD-1/PD-L1 inhibitors monotherapy in non-small cell lung cancer patients: a meta-analysis. Transl Cancer Res 2020;9(5):3231-3241. doi: 10.21037/tcr.2020.03.82

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