Combination of immune checkpoint inhibitors with multi-targeted tyrosine kinase inhibitors for second- or later-line therapy of non-small cell lung cancer: a systematic review and meta-analysis
Original Article

Combination of immune checkpoint inhibitors with multi-targeted tyrosine kinase inhibitors for second- or later-line therapy of non-small cell lung cancer: a systematic review and meta-analysis

Wujian Xu1,2#, Ximing Liao1#, Kun Wang1, Ting Shi2

1Department of Pulmonary and Critical Care Medicine, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China; 2Usher Institute, University of Edinburgh, Edinburgh, UK

Contributions: (I) Conception and design: T Shi, W Xu; (II) Administrative support: None; (III) Provision of study materials or patients: None; (IV) Collection and assembly of data: W Xu, X Liao; (V) Data analysis and interpretation: W Xu, X Liao, K Wang; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

#These authors contributed equally to this work.

Correspondence to: Ting Shi, PhD. Usher Institute, University of Edinburgh, 5-7 Little France Road, Edinburgh, EH16 4UX, UK. Email: ting.shi@ed.ac.uk.

Background: Second- or later-line therapy for patients with advanced non-small cell lung cancer (NSCLC) is highly individualized. Combining immune checkpoint inhibitors (ICIs) with multi-targeted tyrosine kinase inhibitors (multi-TKIs) has emerged as a chemotherapy-free option for these patients. We aim to provide a comprehensive overview of the efficacy and safety of the treatment.

Methods: We systematically searched four databases for studies evaluating ICIs combined with multi-TKIs in second- or later-line therapy for NSCLC. Data were extracted and study quality was assessed using the Canadian Institute of Health Economics tool for case series. A systematic review and meta-analysis were conducted for efficacy outcomes.

Results: Twenty studies (10 prospective and 10 retrospective) were included from 155 retrieved articles. Nineteen studies were conducted in China, with programmed death receptor 1 (PD-1) antibodies and anlotinib as the most frequently used combination. The single-arm meta-analysis showed that the pooled median progression-free survival (mPFS) was 5.74 months [95% confidence interval (CI): 4.65–6.84], and the median overall survival was 15.41 months (95% CI: 13.40–17.41). The objective response rate was 26.35% (95% CI: 19.52–33.18%), and the disease control rate was about 80.73% (95% CI: 75.59–85.86%). For patients with EGFR/ALK/ROS1 mutations, the mPFS was 3.17 months (95% CI: 2.54–3.79). The most commonly reported severe adverse events across the included studies were hypertension, fatigue, hepatic dysfunction, urinary abnormalities, and hand-foot syndrome.

Conclusions: The combination of ICIs and multi-TKIs offers an alternative chemotherapy-free treatment option for patients with advanced NSCLC in the second- or later-line setting.

Keywords: Non-small cell lung cancer (NSCLC); immune checkpoint inhibitors (ICIs); multi-targeted tyrosine kinase inhibitors (multi-TKIs); second- or later-line therapy; efficacy


Submitted Dec 12, 2024. Accepted for publication Mar 13, 2025. Published online May 28, 2025.

doi: 10.21037/tlcr-2024-1204


Highlight box

Key findings

• This study found that the combination of immune checkpoint inhibitors (ICIs) and multi-targeted tyrosine kinase inhibitors (multi-TKIs), used as second- or later-line treatment, resulted in a median progression-free survival of 5.74 months, a median overall survival of 15.41 months, an objective response rate of 26.35%, and a disease control rate of 80.73% in patients with advanced non-small cell lung cancer (NSCLC). The safety profile included hypertension, fatigue, hepatic dysfunction, urinary abnormalities, and hand-foot syndrome.

What is known and what is new?

• Combining ICIs with multi-TKIs has emerged as a chemotherapy-free option for patients with advanced NSCLC.

• The efficacy and safety of this combined treatment strategy remained unclear when used as second- or later-line for these patients.

What is the implication, and what should change now?

• The combination of ICIs and multi-TKIs offers an alternative chemotherapy-free treatment option for patients with advanced NSCLC in the second- or later-line setting.


Introduction

Lung cancer is one of the leading causes of cancer-related mortality (1). In China, it has the highest mortality in both males and females among all cancers (2). Non-small cell lung cancer (NSCLC) accounts for approximately 85% of all cases of lung cancer. With the development of immunotherapy, many advanced NSCLC patients have benefited from first-line therapy of immune checkpoint inhibitors (ICIs) (3). However, the overall prognosis for NSCLC remains poor, partly due to limited options being available after progression on first-line therapy (4).

Administration of ICIs in second-line therapy has improved 5-year overall survival (OS) from 2.6% with chemotherapy alone to 13.6% with the use of nivolumab (5). However, ICIs only benefit about one fourth of second-line patients with NSCLC, challenges remain in optimizing treatment efficacy. Combining antiangiogenic drugs with ICIs for second- or later-line therapy has demonstrated potential by inhibiting angiogenesis and improving the tumor microenvironment. This is achieved through the normalization of tumor vasculature, reduction of tumor hypoxia, and mitigation of immunosuppression (6). Monoclonal antibodies like bevacizumab have demonstrated the ability to improve progression-free survival (PFS) in NSCLC patients when used alongside ICIs (7). Additionally, multi-targeted tyrosine kinase inhibitors (multi-TKIs), which block various angiogenesis-related pathways including VEGF/VEGFR, PDGF/PDGFR, FGF/FGFR, and c-kit, have been extensively evaluated. In a notable study by Zhang et al., the combination of ICIs and anlotinib showed a significantly longer PFS compared to ICI monotherapy in the second-line treatment of advanced NSCLC (8). Oral multi-TKIs, such as Anlotinib, has been accepted as a standard third-line treatment for both NSCLC and small cell lung cancer (SCLC) in China, due to its efficacy and easy to use (9). Ongoing research continues to investigate the efficacy and safety of combining ICIs with multi-TKIs for NSCLC patients who have progressed after first-line treatment, both in real-world settings and through prospective studies.

In this systematic review, we aim to provide a comprehensive overview of the second or later line treatment of NSCLC using the combination of ICIs and multi-TKIs. By doing so, we hope to provide clinicians and researchers with evidence to support their decision-making, and highlight future directions and challenges in this evolving field of cancer treatment. We present this article in accordance with the PRISMA reporting checklist (available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-2024-1204/rc) (10).


Methods

This systematic review has been registered with PROSPERO (ID: CRD42024534887, https://www.crd.york.ac.uk/prospero/).

Search strategy

We systematically searched PubMed, Medline, Embase and ClinicalTrials.gov on March 10, 2024 to identify relevant studies evaluating ICIs plus multi-TKIs as second or later line therapy for NSCLC. We constructed the search strategy for each database using the following keywords “lung neoplasms”, “immune checkpoint inhibitor” and “multi-targeted kinase inhibitor”. The detailed search strategy and its results are supplied in Table S1.

Selection criteria

Studies would be taken into consideration if they fulfill the following inclusion criteria: (I) patients were histologically diagnosed as NSCLC and had progressed on first-line treatment; (II) taking combination of ICIs and multi-TKIs (anlotinib, apatinib, fruquintinib, sorafenib, lenvatinib, lenvatinib, cediranib, vandetanib, vandetanib, nintedanib, pazopanib, axitinib) as the primary intervention for the second or later line therapy; (III) studies that provided detailed outcomes on efficacy and safety. The studies would be excluded if they: (I) included first-line treatment patients; (II) fell into other types of publications, including cellular or animal experiments, preclinical trials, case report or case series, reviews, and abstracts; we thoroughly reviewed the relevant systematic reviews to ensure comprehensive inclusion of pertinent studies; (III) failed to provide relevant outcome results for further analysis. Two reviewers (W.X. and X.L.) independently screened the titles and abstracts followed by full text reading to select the eligible studies. Conflicts were resolved by the third independent reviewer (K.W.).

Data extraction and quality assessment

Data extraction included information such as first author, publication year, country, inclusion and exclusion criteria of the underlying population, histology, age, proportion of men, therapy line, trial design, intervention and controls, and outcomes. The quality assessment was conducted using the tool developed by the Canadian Institute of Health Economics (IHE) for the case series (11). Studies scoring 14 or higher were deemed to be acceptable (12).

Outcome measures

Median PFS (mPFS) refers to the median length of time from the start of treatment until the disease progresses or the patient dies from any cause, whichever occurs first. Median overall survival (mOS) is the median length of time from the start of treatment until death from any cause. Objective response rate (ORR) is the proportion of patients who have achieved either a complete response (CR) or partial response (PR) to the treatment. Disease control rate (DCR) is the proportion of patients who have achieved CR, PR, or stable disease (SD) after the treatment. The primary objective of this study was to evaluate the efficacy of the combined treatment based on mPFS, mOS, ORR, and DCR. Additionally, we aimed to assess the safety of the combined treatment by analyzing the adverse events reported in the included studies.

Statistical analysis

We conducted a systematic review for the enrolled studies. For the outcome that provided effects and their 95% confidence intervals (CIs), we performed a single-arm meta-analysis to combine the effects among intervention groups using a random effects model due to the substantial heterogeneity across the included studies. Forest plots were used to visually display the pooled estimates. As part of sensitivity analyses, we excluded retrospective studies. The analysis was carried out using Stata 17 statistical software (Stata Corp, USA).


Results

Description of studies

Overall, we found 3,024 citations, 301 of which were discarded as duplicates. From the remaining records, we identified 155 potentially relevant citations. Thirteen were excluded as they primarily focused on SCLC. Out of the 142 citations subjected to full-text screening, 69 were excluded due to their publication types, such as conference abstracts, letters, and reviews; 23 were excluded for incomplete data or mixed with first-line therapy; 30 were excluded for duplicate data. In the end, our review included 20 studies meeting the eligibility criteria (Figure 1).

Figure 1 PRISMA flow diagram of screening process.

Nineteen studies were conducted in China, with the remaining one carried out in Russia (13) (Table 1). All 20 studies focused on NSCLC patients who had experienced progression following initial therapy, which included either platinum-based chemotherapy or EGFR/ALK/ROS1 TKIs. Among these, four studies specifically included patients with EGFR/ALK/ROS1 common mutations (14-17), one with EGFR rare mutation (19), two exclusively involved lung adenocarcinoma patients (20,21), and one solely included those with squamous lung cancer (22). 11 of the studies limited participant inclusion to second-line therapy, while the remaining nine also encompassed later-line therapies. Thirteen studies provided reports on programmed cell death-ligand 1 (PD-L1) expression levels.

Table 1

Characteristics of studies included in the analysis

Study Country Main inclusion and/or exclusion criteria Age (yrs) Male (%) Patient counts Therapy line Study type
Zhang, 2023 (8) China Inclusion: NSCLC with wild-type EGFR/ALK; received at least one line of systemic therapy or could not tolerate chemotherapy 60.1 69.1 101 2nd Prospective, two-arm
Exclusion: previous line of treatment containing anlotinib or ICIs
Galffy, 2023 (13) Russia Inclusion: NSCLC received at least one prior chemotherapy 64 73.2 41 ≥2nd Prospective, single-arm
Exclusion: EGFR\ALK/ROS1 mutation; prior ICI therapy
Gao, 2022 (14) China Inclusion: NSCLC harboring EGFR/ALK mutation with disease progression after at least one prior platinum-based chemotherapy 55 58.1 43 ≥2nd Prospective, single-arm
Exclusion: autoimmune disease; use of immunosuppressive agents; prior treatment with immunotherapy
Zhang, 2023 (15) China Inclusion: EGFR-mutant NSCLC with disease progression after first-line treatment 51 31.6 19 ≥2nd Prospective, two-arm
Exclusion: autoimmune disease history; prior immunotherapy
Yu, 2023 (16) China Inclusion: lung adenocarcinoma harbored sensitive EGFR mutation and had disease progression after EGFR-TKI treatment 63 47.4 80 2nd Retrospective, two-arm
Chen, 2021 (17) China Inclusion: NSCLC with EGFR mutation progressed after EGFR-TKI and chemotherapy 62 55.8 86 ≥2nd Retrospective, two-arm
Yu, 2022 (18) China Inclusion: local advanced NSCLC with disease progression after standard treatment 62 61.4 57 ≥2nd Retrospective, single-arm
Chen, 2023 (19) China Inclusion: treatment-experienced advanced NSCLC with uncommon EGFR mutation 61 66.7 21 ≥2nd Prospective, single-arm
Exclusion: components of small cell carcinoma, central nervous system metastases, risk of hemorrhage, prior immunotherapy
Yao, 2023 (20) China Inclusion: lung adenocarcinoma with relapse or failure to 1st-line chemotherapy; negative mutation in EGFR/ALK/ROS1 56 44.8 29 ≥2nd Prospective, single-arm
Exclusion: brain or meningeal metastases; not suitable for ICIs due to prior drug history
Yu, 2023 (21) China Inclusion: mutation negative lung adenocarcinoma with disease progression after prior standard therapy 63 71.8 134 ≥2nd Retrospective, two-arm
Exclusion: prior usage of ICIs
Gao, 2022 (22) China Inclusion: non-central squamous NSCLC with disease progression after prior first-line chemotherapy 63 92 25 ≥2nd Prospective, single-arm
Exclusion: autoimmune disease or usage of immunosuppressive agents; previous ICIs users; major blood vessel invasion; intratumor cavitation or necrosis
Zhu, 2022 (23) China Inclusion: NSCLC with disease progression after at least 2-line treatment 65.1 65.9 82 ≥3rd Prospective, single-arm
Exclusion: combined with other types of tumors
Zhang, 2021 (24) China Inclusion: relapsed NSCLC who received second- or later-line treatment of anlotinib and/or PD-1 inhibitor 59 67.7 103 ≥2nd Retrospective, two-arm
Zhang, 2021 (25) China Inclusion: NSCLC aged 18-85 69 59 139 3rd Retrospective, two-arm
Exclusion: SCLC; follow-up duration less than 4 weeks, uncontrollable adverse reactions or toxicity
Yang, 2020 (26) China Inclusion: NSCLC patients treated with two-line platinum containing dual drug chemotherapy before 59 58.4 101 3rd Retrospective, single-arm
Exclusion: with targeted mutation
Zhai, 2020 (27) China Inclusion: NSCLC, taken ICIs plus TKIs for 3rd-line or further lines; normal organ function 65 63.6 22 ≥3rd Prospective, single-arm
Exclusion: history of autoimmune diseases or taken immunosuppressive drugs; not squamous-NSCLC
Wang, 2021 (28) China Inclusion: NSCLC experienced progression after 1 systemic treatment 60 70 67 ≥2nd Retrospective, single-arm
Zhou, 2021 (29) China Inclusion: NSCLC with disease progression after at least 1-line treatment 62 72.5 45 ≥2nd Prospective, single-arm
Exclusion: SCLC, hemoptysis, symptomatic brain metastasis; central cavity of squamous NSCLC; active primary immunodeficiency
Zhou, 2021 (30) China Inclusion: NSCLC with disease progression after at least one prior platinum-based chemotherapy 58 75.2 105 ≥2nd Prospective, single-arm
Exclusion: EGFR/ALK mutation; prior treatment with immunotherapy
Yuan, 2023 (31) China Inclusion: NSCLC received ICIs plus TKIs as 2nd-line treatment 51 30 40 ≥2nd Retrospective, single-arm
Exclusion: mixed tumors of small cell; history of hemoptysis; prior usage of multi-TKIs or ICIs

ALK, anaplastic lymphoma kinase; EGFR, epidermal growth factor receptor; ICIs, immune checkpoint inhibitors; NSCLC, non-small cell lung cancer; PD-1, programmed death receptor-1; ROS1, ROS proto-oncogene 1; SCLC, small cell lung cancer.

Ten studies were prospectively designed, of which two were randomized controlled trials (RCTs) (8,24). The remaining 10 studies were retrospective cohorts. In 18 out of the 20 studies, anti-PD-1 antibodies were utilized as ICIs for combination therapy, while the remaining two study employed anti-PD-L1 antibodies (TQB2450, avelumab). Anlotinib emerged as the most frequently utilized multi-TKI, featuring in the combination strategy in 14 studies, followed by apatinib in five studies. Only one study utilized axitinib as the anti-angiogenic drug (13). Comparison was established in only seven studies, which encompassed ICI monotherapy in four studies (8,17,20,24), anlotinib or apatinib monotherapy in two studies (23,25) and chemotherapy in one study (16).

Quality assessment and risk of bias in included studies

Using the IHE quality assessing tool (Table 2), two studies scored 14 (24), one RCT scored 19 (8), with the remaining all higher than 14. Data were collected from multi-center in six studies. No study reported mPFS of the previous treat-line. Nine studies excluded patients with prior usage of ICIs. Only four studies reported co-interventions. Blindness was performed only in one study. Eight studies reported follow-up loss. Ten studies used cox regression or stratification to take into consideration of confounding.

Table 2

Quality assessment of included studies by IHE case series quality assessment tool

Study Items Score
Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 Q19 Q20
S. Yang, 2020 1 0 0 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 1 15
C. Chai, 2020 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 17
Y. Chen, 2021 1 0 0 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 1 15
P. Wang, 2021 1 0 0 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 1 15
X. Zhang, 2021 1 0 0 1 1 1 1 1 0 1 0 1 1 1 1 0 1 0 1 1 14
W. Zhang, 2021 1 0 0 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 1 15
N. Zhou, 2021 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 17
C. Zhou, 2021 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 18
Y. Zhu, 2022 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 0 0 1 1 1 15
G. Gao, 2022 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 18
C. Yu, 2022 1 0 0 1 1 1 1 1 0 1 0 1 1 1 1 0 0 1 1 1 14
G. Gao, 2022 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 18
G. Galffy, 2023 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 1 17
S. Yuan, 2023 1 0 0 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 1 15
K. Chen, 2023 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 1 16
S. Zhang, 2023 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 18
L. Yu, 2023 1 0 0 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 16
Y. Yao, 2023 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 18
W. Zhang, 2023 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 19
L. Yu, 2023 1 0 0 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 16

Q1: Was the hypothesis/aim/objective of the study clearly stated? Q2: Was the study conducted prospectively? Q3: Were the cases collected in more than one center? Q4: Were patients recruited consecutively? Q5: Were the characteristics of the patients included in the study described? Q6: Were the eligibility criteria (i.e. inclusion and exclusion criteria) for entry into the study clearly stated? Q7: Did patients enter the study at a similar point in the disease? Q8: Was the intervention of interest clearly described? Q9: Were additional interventions (co-interventions) clearly described? Q10: Were relevant outcome measures established a priori? Q11: Were outcome assessors blinded to the intervention that patients received? Q12: Were the relevant outcomes measured using appropriate objective/subjective methods? Q13: Were the relevant outcome measures made before and after the intervention? Q14: Were the statistical tests used to assess the relevant outcomes appropriate? Q15: Was follow-up long enough for important events and outcomes to occur? Q16: Were losses to follow-up reported? Q17: Did the study provide estimates of random variability in the data analysis of relevant outcomes? Q18: Were the adverse events reported? Q19: Were the conclusions of the study supported by the results? Q20: Were both competing interests and sources of support for the study reported? 1 point for a “yes” answer, 0 for an “unclear” or “no” answer. The checklist was cited from Institute of Health Economics (IHE). Quality Appraisal of Case Series Studies Checklist. Edmonton (AB): Institute of Health Economics; 2014. Available from: http://www.ihe.ca/research-programs/rmd/cssqac/cssqac-about (11).

Efficacy of the combined therapy

mPFS

The mPFS of the combined therapy ranged from 2.10 to 11.10 months across studies. Among the 20 included studies, 16 reported the mPFS with its 95% CI (Table 3). Combining data from these 16 studies, the pooled mPFS for combination therapy was 5.74 months (95% CI: 4.65–6.84) (Figure 2A). When retrospective studies were excluded, the pooled mPFS slightly decreased to 5.51 months (95% CI: 4.21–6.80) (Figure 2B). Among the four studies specifically targeting patients with EGFR/ALK/ROS1 mutations, the pooled mPFS was 3.17 months (95% CI: 2.54–3.79) (Figure 2C). Three retrospective studies found that the mPFS for the combination therapy group demonstrated an absolute improvement in mPFS of 1.70 to 6.00 months compared to the monotherapy groups, with a reduction of hazard ratio (HR) approximately 34.0%. In Zhang’s RCT study, which made a direct comparison between ICI plus multi-TKI therapy and ICI monotherapy, the combined therapy demonstrated a significant improvement in mPFS, increasing it by nearly 6.00 months (8.70 months in combined therapy vs. 2.80 months in the ICI monotherapy).

Table 3

Main interventions, outcomes and severe adverse effects of the included studies

Study Histology Treatment Comparison PD-L1 levels EGFR/ALK+ (%) mOS (months, 95% CI) mPFS (months, 95% CI) ORR (%) DCR (%) SAE
S. Yang, 2020 NSCLC Anlotinib + ICI (pembrolizumab, sintilimab, nivolumab, tislelizumab) None NA 0 NR 6.7 (6.13–7.24) 18.80 79.2 27/101
C. Zhai, 2020 non-sq-NSCLC Anlotinib + ICI (nivolumab, pembrolizumab, sintilimab, toripalimab, camrelizumab) None High: 9.1%; Neg: 31.9%; unknown: 18.2% 13.6 17.3 (16.1–18.5) 6.8 (3.4–9.8) 36.40 90.90 4/22
Y. Chen, 2021 EGFR/ALK+-NSCLC Anlotinib+ pembrolizumab Pembrolizumab High: 30.2%; Neg: 19.8%; unknown: 12.8% 100 12.28 (9.02–15.54) vs.
7.41 (P=0.02)
3.24 (2.46–4.02) vs. 1.5 21.4 vs. 3.1 NA NA
P. Wang, 2021 NSCLC Anlotinib + ICI (pembrolizumab, nivolumab, camrelizumab, torpalimab, sintinimab, tislelizumab) None Pos: 6%; Neg: 7%; not reported: 87% 13 14.5 (10.9–18.1) 6.9 (5.5–8.3) 28.40 86.6 27/67
X. Zhang, 2021 NSCLC Anlotinib + ICI (pembrolizumab, toripalimab) Pembrolizumab, toripalimab Pos: 8.1% vs. 7.3%; Neg: 8.1% vs. 7.3%; unknown: 72.6% vs. 78.0% 16.1 NA 8 vs. 2 (P=0.00) 19.3 vs. 2.4 (P=0.013) 85.5 vs. 58.5 (P=0.15) NA
W. Zhang, 2021 NSCLC Anlotinib + ICI (pembrolizumab, sintilimab, toripalimab, camrelizumab) Anlotinib NA 19.4 10.5 vs. 8.7 (P=0.033) 5.8 vs. 4.2 [HR 0.68 (0.68–0.97)] 20.5 vs. 18.2 84.9 vs. 71.2 13/73 vs. 10/66
N. Zhou, 2021 NSCLC Anlotinib + camrelizumab None Pos: 25.5%; Neg: 9.8%; unknown: 64.7% NA 12.7 (10.2–15.1) 8.2 (4.3–12.1) 13.3 (95% CI: 3–23.7) 82.2 (95% CI: 70.6–93.8) 1/45
C. Zhou, 2021 NSCLC Apatinib + camrelizumab None Pos: 2.9%; Neg: 62.9%; unknown: 13.3% 0 15.5 (10.9–24.5) 5.7 (4.5–8.8) 30.9 (95% CI: 21.7–41.2) 81.9 (95% CI: 72.6–89.1) 73/104
Y. Zhu, 2022 NSCLC Apatinib + sintilimab Apatinib NA NA NA NA 41.46 vs. 19.51, P=0.03 85.37 vs. 58.54, P=0.007 NA
G. Gao, 2022 EGFR/ALK+-NSCLC Apatinib + camrelizumab None Pos: 51.2%; Neg: 30.2%; unknown: 18.6% 100 NR (7.3–NR) 2.8 (1.9–5.5) 18.6 (95% CI: 8.4–33.4) NA 28/43
C. Yu, 2022 NSCLC Anlotinib + ICI (tislelizumab; toripalimab) None High: 23.2% 14 14 10 50.9% 87.7 NA
G. Gao, 2022 Sq-NSCLC Apatinib + camrelizumab None Pos: 52%; Neg: 44%; unknown: 4% NA 13.3 (6.4–18.8) 6.0 (3.5–8.1) 32 (95% CI: 14.9–53.5) 84 (95% CI: 63.9–95.5) 21/25
G. Galffy, 2023 NSCLC Axitinib + ICI (avelumab) None Pos: 19.5%; Neg: 58.5%; unknown: 22% 0 21.3 (14.9–24.6) 5.5 (2.5–7.0) 31.7 (95% CI: 18.1–48.1) 7.5 (95% CI: 3.7–15.5) 24/41
S. Yuan, 2023 NSCLC Anlotinib + ICI None NA 32.5 27.0 (12–NR) 11.4 (8.5–NR) 40 (16/40) 82.5 (33/40) 1/40
K. Chen, 2023 EGFR+-NSCLC Anlotinib + sintilimab None Pos: 33.3%; Neg: 38.1%; unknown: 28.6 % 100 20.2 (15.6–24.4) 7.0 (5.4–8.6) 38.1 (95% CI: 18.1–61.6) 85.7 (95% CI: 63.7–97) 6/21
S. Zhang, 2023 EGFR+-NSCLC Anlotinib + toripalimab None NA 100 NA 2.1 (0.25–3.95) 0 57.9 2/19
L. Yu, 2023 Ad-NSCLC Anlotinib + ICI (pembrolizumab, nivolumab) ICI (pembrolizumab, nivolumab) High: 25.4%; Neg: 17.5%; unknown: 25.4% 0 16.13 (10.48–21.79) vs. 11.88 (8.88–14.88), P=0.046 6 (4.34–7.66) vs. 3.41 (2.16–4.67), P<0.001 7 (5/71) vs. 3.2 (2/63), P=0.45 81.7 (58/71) vs. 57.1 (36/63), P=0.002 NA
Y. Yao, 2023 Ad-NSCLC Apatinib + camrelizumab + chemotherapy None NA 0 NR 11.1 (5.2–17) 37.90 86.30 7/29
W. Zhang, 2023 NSCLC TQB2450 + anlotinib TQB2450 Pos: 22.5% vs. 21.2%; Neg: 7.4% vs. 15.2%; unknown: 36.8% vs. 27.3% 0 NA 8.7 (6.1–17.1) vs. 2.8 (1.4–4.7) 30.9 (95% CI: 20.2–43.3) vs. 3.0 (95% CI: 36.4–71.9) 73.5 (95% CI: 61.4–83.5) vs.
64.5 (95% CI: 36.4–71.9)
41/68 vs. 3/33
L. Yu, 2023 Ad-NSCLC Anlotinib + ICI (pembrolizumab, nivolumab) Chemotherapy NA 100 14.17 (10.17–18.17) vs. 9.00 (6.92–11.08) 4.33 (2.62–6.05) vs. 3.60 (2.48–4.73) 92.10 18.40 NA

ALK, anaplastic lymphoma kinase; Ad-NSCLC, adenocarcinoma non-small cell lung cancer; CI, confidence interval; EGFR, epidermal growth factor receptor; ICIs, immune checkpoint inhibitors; NA, not available; NR, not reached; sq-NSCLC, squamous non-small cell lung cancer.

Figure 2 Forest plot of pooled PFS results. (A) Pooled PFS results from all included trials. (B) Pooled PFS results from all prospective trials. (C) Pooled PFS results from trials targeting EGFR or ALK mutations. ALK, anaplastic lymphoma kinase; CI, confidence interval; EGFR, epidermal growth factor receptor; PFS, progression-free survival.

mOS

16 studies provided OS among patients who received the combined therapy as second or late-line therapy (Table 3). Among these, 12 studies presented mOS (95% CI), which ranged from 12.30 to 27.00 months. Pooling the mOS data from these 12 studies resulted in a combined mOS of 15.41 months (95% CI: 13.40–17.41) (Figure 3A). When considering only prospective studies, the pooled mOS was slightly higher at 16.49 months (95% CI: 13.09–19.88) (Figure 3B). Additionally, three studies reported the 1-year OS rate, which varied from 40.4% to 81.8%. For patients who progressed on EGFR/ALK TKI and one platinum-based chemotherapy, the mOS ranged from 12.30 to 20.20 months.

Figure 3 Forest plot of pooled OS results. (A) Pooled OS results from all included trials. (B) Pooled OS results from all prospective trials. CI, confidence interval; OS, overall survival.

ORR and DCR

All studies included in the analysis reported ORR of the combined therapy, which ranged from 0 to 41.5% (Table 3). Notably, Zhang’s study (15), focusing on combined therapy for patients with EGFR-mutant tumors, found that none of the 19 patients achieved an ORR. When considering five studies that provided ORR along with its 95% CI, the combined ORR was calculated to be 26.35% (95% CI: 19.52–33.18%) (Figure 4A).

Figure 4 Forest plot of pooled ORR and DCR results. (A) Pooled results of ORR across included trials. (B) Pooled results of DCR across included trials. CI, confidence interval; DCR, disease control rate; ORR, objective response rate.

DCR data of the combined therapy were available from 18 studies, with the lowest DCR observed in Zhang’s study (15) at 57.9% for EGFR-mutant patients. DCR in the other 17 studies ranged from 73.5% to 92.1%. From the subset of five studies providing DCR with corresponding 95% CIs, the pooled DCR was determined to be 80.73% (95% CI: 75.59–85.86%) (Figure 4B).

Two RCTs facilitated direct comparisons between combined therapy and monotherapy. Y. Zhu’s study showed that combined therapy achieved an ORR of 41.5% and a DCR of 85.4%, whereas apatinib monotherapy yielded lower rates of ORR and DCR at 19.5% and 58.54%, respectively. In another RCT by Zhang (8), combined therapy was compared to ICI monotherapy, revealing higher ORR (30.9%) and DCR (73.5%) compared to monotherapy’s rates of 3.0% and 64.5%, respectively.

Adverse events of the combined therapy

The proportion of adverse events with grade 3 severe adverse events (SAE) or higher was reported by 16 studies (Table 4). Hypertension was reported in 12 out of the 16 studies. The prevalence ranged from 2.5% in Yuan’s study (31) to 44.0% in Gao’s study (21). The other top four common SAEs include Fatigue (2.4–5.9%), hepatic dysfunction (3.4–9.5%), urine abnormal (2.0–8.0%) and hand-foot syndrome (1.4–10.0%). Other less common SAEs included rash, pneumonitis, diarrhea, bone marrow suppression, mouth ulceration, cerebral infarction, hypothyroidism, changed appetite and palmar-plantar erythrodysesthesia syndrome. No treatment-related death was reported in the studies.

Table 4

Treatment related adverse events of grade 3–5

Adverse events S. Yang, 2020 C. Zhai, 2020 P. Wang, 2021 W. Zhang, 2021 N. Zhou, 2021 C. Zhou, 2021 Y. Zhu, 2022 G. Gao, 2022 G. Gao, 2022 G. Galffy, 2023 S. Yuan, 2023 K. Chen, 2023 S. Zhang, 2023 L. Yu, 2023 Y. Yao, 2023 W. Zhang, 2023
Hypertension 9 (8.9) 2 (9.1) 12 (18) 3 (4.1) 1 (3.7) 19 (18.1) 7 (16.5) 11 (44) 7 (17.1) 1 (2.5) 1 (5) 12 (19.1)
Fatigue 4 (5.5) 1 (2.4) 2 (4.9) 1 (4.8) 1 (3.4) 4 (5.9)
Hepatic dysfunction 10 (9.5) 2 (4.7) 2 (8) 2 (4.9) 1 (3.4) 6 (8.8)
Urine abnormal 2 (2.0) 8 (7.6) 5 (11.6) 2 (8) 1 (3.4)
Hand-foot syndrome 10 (10) 3 (4.0) 1 (1.4) 2 (9.5) 3 (4.4)
Rash 1 (4.6) 3 (4.1) 2 (4.7) 2 (6.9)
Pneumonitis 2 (2.0) 1 (4.6) 1 (4.8) 3 (4.2)
Diarrhea 1 (4.6) 4 (6.0) 2 (4.9)
Bone marrow suppression 1 (1.4) 1 (2.4) 4 (16)
Mouth ulceration 2 (9.1)
Cerebral infarction 1 (4.8) (1.4)
Hypothyroidism 4 (6.0) 1 (3.4)
Changed appetite 2 (2.0) 1 (2.4) 2 (4.9) 3 (4.4)
Palmar-plantar erythrodysesthesia syndrome 14 (13.3) 4 (9.3) 4 (16)

Data are presented as n (%).


Discussion

In this systematic review, we summarize the efficacy and safety of combining ICIs with multi-TKIs as a second- or later-line therapy for NSCLC. Evidence from 20 prospective or retrospective cohort studies suggests that the pooled mPFS and mOS for this combination therapy are approximately 5.7 and 15.4 months, respectively. The ORR reached 26.5%, while the DCR was about 80%. Common SAEs included hypertension, fatigue, abnormal hepatic function, urinary abnormalities, and hand-foot syndrome.

Second- or later-line treatments for NSCLC are highly individualized. Previous studies involving chemotherapy combined with anti-angiogenic drugs as second-line therapy reported mPFS of 3.40–4.50 months and mOS of 10.50–12.60 months (32-34). To minimize chemotherapy-related side effects, ICIs combined with anti-angiogenic drugs offer a promising alternative. A previous systematic review showed that a combination of ICIs and monoclonal anti-vascular antibodies or multi-TKIs achieved a PFS of 5.20 months and an OS of 14.09 months, suggesting comparable efficacy to chemotherapy-based regimens (35). This approach may be particularly suitable for older patients, those with poor physical status, or those unwilling to undergo chemotherapy.

Multi-TKIs, such as anlotinib and apatinib, have emerged as viable options for later-line NSCLC therapy due to their convenience in oral administration and high safety profiles (36). Anlotinib, noted for its potent anti-angiogenic properties, was the most commonly used multi-TKI in the studies reviewed, surpassing other agents like sunitinib, sorafenib, and nintedanib (37). Clinical trials have explored anlotinib for both second- and first-line therapy in advanced NSCLC patients (34,38). Our analysis revealed that the efficacy of multi-TKI plus ICI regimens in terms of mPFS, mOS, ORR, and DCR was comparable to that of ICI plus angiogenetic monoclonal antibodies, such as ramucirumab and bevacizumab. Multi-TKIs offer several advantages in second- or later-line therapy. First, they have a synergistic effect with ICIs by promoting vascular normalization and altering the tumor microenvironment (32,39). Second, multi-TKIs may benefit patients with primary resistance due to SCLC transformation, as they have shown efficacy in treating SCLC (40). Third, their oral administration facilitates easier dose management. Thus, the combination of ICIs and multi-TKIs presents a promising chemotherapy-free option for later-line NSCLC treatment.

Challenges remain in treating NSCLC patients with positive driver gene mutations, particularly those resistant to EGFR inhibitors (41). ICI monotherapy has demonstrated limited efficacy in extending OS for these patients, as shown in pooled analyses from trials like Checkmate-057, Keynote-010, and OAK (42,43). While combining platinum-based chemotherapy with ICIs and anti-angiogenesis agents has extended mPFS in this group, this comes at the cost of increased treatment-related adverse events (7,44). Thus, efforts have focused on chemotherapy-free strategies for second-line therapy. However, in patients with driver mutations, ICI and multi-TKI combinations yielded a pooled mPFS of only 3.7 months, with the lowest ORR reported in studies including patients with EGFR mutations who had progressed after EGFR-TKI therapy (15). These findings underscore the need for further optimization of treatment strategies for this subgroup.

Combining chemotherapy with ICIs is associated with a high risk of treatment-related complications. In contrast, the combination of ICIs and multi-TKIs, being chemotherapy-free, offers fewer side effects. While this review was not primarily focused on side effect analysis, the included studies offer valuable insights into the adverse events associated with the combination therapy. Most severe adverse events (e.g., hypertension, fatigue, hepatic or renal dysfunction, hand-foot syndrome) were manageable with dose adjustments (45). Importantly, the addition of multi-TKIs did not exacerbate the toxicity commonly associated with ICIs, such as pneumonitis, rash, and hypothyroidism. These findings highlight the favorable safety profile of this combined regimen for later-line NSCLC patients.

Several limitations should be noted. First, most studies included in this review were conducted in China, and studies using other multi-TKIs, such as nintedanib and lenvatinib, were excluded due to premature data (abstract only) (46,47). A well-designed RCT directly comparing multi-TKI plus ICIs with ICI monotherapy across different ethnicities is still required before recommending this treatment strategy. Second, few studies directly compared combination therapy with monotherapy, making it difficult to determine whether adding ICIs to multi-TKIs is superior to multi-TKI therapy alone, especially in patients with prior ICI treatment. Third, the inclusion of retrospective studies may introduce selection bias, although these studies provide valuable insights before RCTs are available. Notably, only one RCT implemented blinding for radiological assessments, and only 10 studies used statistical adjustments to control for confounding factors. Fourth, none of the studies evaluated the efficacy of prior immunotherapy or included data on post-progression PD-L1 levels, limiting our ability to assess the impact of prior ICI use on treatment efficacy. In this situation, future studies with suitable controls and satisfied study design are needed, even in the form of retrospective research.


Conclusions

Our review highlights the potential of ICIs combined with multi-TKIs as an alternative chemotherapy-free regimen for second- and later-line NSCLC treatment. Further investigation is needed, particularly in patients with prior ICI or EGFR inhibitor treatment, to optimize this therapeutic strategy.


Acknowledgments

None.


Footnote

Reporting Checklist: The authors have completed the PRISMA reporting checklist. Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-2024-1204/rc

Peer Review File: Available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-2024-1204/prf

Funding: This work was supported by Shanghai Science and Technology Innovation Action Plan (22Y11901100), and The Top-level Clinical Discipline Project of Shanghai Pudong (PWYgf2021-05).

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://tlcr.amegroups.com/article/view/10.21037/tlcr-2024-1204/coif). All authors report that this work was supported by Shanghai Science and Technology Innovation Action Plan (22Y11901100), and The Top-level Clinical Discipline Project of Shanghai Pudong (PWYgf2021-05). The authors have no other 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: Xu W, Liao X, Wang K, Shi T. Combination of immune checkpoint inhibitors with multi-targeted tyrosine kinase inhibitors for second- or later-line therapy of non-small cell lung cancer: a systematic review and meta-analysis. Transl Lung Cancer Res 2025;14(5):1724-1739. doi: 10.21037/tlcr-2024-1204

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