Literature DB >> 33489801

Immunotherapy beyond progression in patients with advanced non-small cell lung cancer.

Xiangwei Ge1,2, Zhibo Zhang2,3, Sujie Zhang4, Fang Yuan4, Fan Zhang4, Xiang Yan4, Xiao Han4, Junxun Ma4, Lijie Wang4, Haitao Tao4, Xiaoyan Li4, Xiaoyu Zhi1,2, Zhiyue Huang5, Paul Hofman6, Arsela Prelaj7,8, Giuseppe Luigi Banna9, Luciano Mutti10, Yi Hu4, Jinliang Wang2,4.   

Abstract

BACKGROUND: Immune checkpoint inhibitors (ICIs) represent a great breakthrough in the treatment of advanced non-small cell lung cancer (aNSCLC). However, whether immunotherapy beyond progression (IBP) is effective for aNSCLC has yet to be established. Therefore, a retrospective clinical study was conducted to investigate the efficacy of IBP in patients with aNSCLC under real-world conditions.
METHODS: A total of 125 Chinese patients with aNSCLC who experienced progressive disease (PD) after receiving monotherapy or combination therapy (combined with chemotherapy or/and antiangiogenic therapy) with programmed cell death-1 (PD-1)/programmed cell death ligand-1 (PD-L1) inhibitors between January 2015 and March 2019 were enrolled. Patients who were treated with ICIs for more than 6 weeks after PD were defined as IBP (n=39), while those who received ICI treatment for less than 6 weeks or discontinued it due to PD were defined as non-IBP (n=86). Patient clinical characteristics were evaluated. An optimization-based method was applied to balance the clinical baseline characteristics between the two groups.
RESULTS: In total population, the IBP group had longer overall survival (median OS, 26.6 vs. 9.5 months; HR, 0.40; 95% CI: 0.23-0.69; P<0.001) and progression-free survival (median PFS, 8.9 vs. 4.1 months; HR, 0.41; 95% CI: 0.26-0.65; P<0.001), compared with the non-IBP group. Despite no significant difference in objective response rate (ORR, 15.4% vs. 11.6%, P=0.560), disease control rate (DCR) was significantly higher in the IBP group (89.7% vs. 61.6%, P<0.001). After balancing baseline covariates, the IBP group also had longer OS (median: 26.6 vs. 10.7 months; HR, 0.40; 95% CI: 0.19-0.84; P=0.015) and PFS (median: 9.7 vs. 4.3 months; HR, 0.28; 95% CI: 0.15-0.51; P<0.001), with a benefit in either of patients previously treated with ICI monotherapy or in combination therapy and with non-response to the previously ICI.
CONCLUSIONS: IBP is associated with longer OS and PFS in patients with aNSCLC. Our findings may suggest new therapeutic options for patients with aNSCLC who experienced disease progression after initial immunotherapy. 2020 Translational Lung Cancer Research. All rights reserved.

Entities:  

Keywords:  Immunotherapy beyond progression; immune checkpoint inhibitors (ICIs); non-small cell lung cancer (NSCLC); prognosis

Year:  2020        PMID: 33489801      PMCID: PMC7815351          DOI: 10.21037/tlcr-20-1252

Source DB:  PubMed          Journal:  Transl Lung Cancer Res        ISSN: 2218-6751


Introduction

Lung cancer is one of the most common malignancies in the world. In 2018, lung cancer was responsible for approximately 1.8 million deaths globally, with 2.1 million new cases diagnosed (1). There are two main subtypes of lung cancer: non-small cell lung cancer (NSCLC) and small cell lung cancer. NSCLC is the most common histological type, accounting for more than 85% of lung cancer, and has a 5-year survival rate of less than 16% (2). Therefore, there is an urgent need for improving the survival of patients with advanced non-small cell lung cancer (aNSCLC). Immune checkpoint inhibitors (ICIs), including anti-programmed cell death-1 (PD-1) and anti-programmed cell death ligand-1 (PD-L1) antibodies, have made a major impact on the treatment landscape for patients with aNSCLC in recent years (3-6). In a series of clinical trials, some ICIs were confirmed to achieve a better clinical response than standard chemotherapy in patients with aNSCLC (7-9). However, only a limited number of patients obtain sustained benefit from ICI therapy (10). For patients with disease progression to treatment with ICIs, the continuation of immunotherapy with subsequent treatment regimens is still investigational. Immunotherapy beyond progression (IBP) has been reported as possibly effective for advanced melanoma and renal cell carcinoma patients (11-13). In the subgroup analysis of Checkmate 025 study, for instance, the tumor burden was reduced by 30% or more in 13% (20/153) of patients with advanced renal cell carcinoma in the IBP group (14). Moreover, in a retrospective melanoma study (15), the median overall survival (mOS) of patients who received IBP with anti-PD-1 antibody was significantly longer than that of patients in the non-IBP group. Conversely, research on IBP with ICIs in NSCLC is still in its infancy. In the long-term analysis of Keynote-010, 7 of 14 patients who received IBP with pembrolizumab achieved a partial response (PR) or stable disease (SD) as their best response, suggesting that IBP may hold potential for the treatment of patients with aNSCLC (16). While in a real-world European series of 60 aNSCLC patients with PD-L1 ≥50% progressed to first-line pembrolizumab and treated with salvage chemotherapy (42/60, 70%) or pembrolizumab and possible local ablative radiotherapies (18/60, 30%), the post-progression median survival between these two groups was not significantly different (6.9 vs. 8.1 months, P=0.08) (17). Therefore, further research on IBP is necessary. In this context, we conducted a retrospective clinical study under real-world conditions to investigate whether IBP was effective for patients with aNSCLC and to further identify those subgroups of patients that could potentially benefit more from this treatment. We present the following article in accordance with the STROBE reporting checklist (available at http://dx.doi.org/10.21037/tlcr-20-1252).

Methods

Study design and patients

The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the Ethics Committee of PLA General Hospital (S2018-141-01) and individual consent for this retrospective analysis was waived. Between January 2015 and March 2019, patients with aNSCLC whose response was evaluated as progressive disease (PD) after receiving monotherapy or combination therapy (combined with chemotherapy or/and antiangiogenic therapy) with PD-1/PD-L1 checkpoint inhibitors at the Chinese PLA general hospital were screened. The inclusion criteria were: (I) NSCLC confirmed by pathological diagnosis; (II) stage IIIB or IV or recurrent disease; (III) at least one cycle of ICI treatment. Patients without disease reassessment to ICI treatment were excluded. Patients’ electronic medical records were reviewed, and 125 patients were eligible for this analysis. Patients who were treated with ICIs for more than 6 weeks after PD were defined as IBP, while those who received ICI treatment for less than 6 weeks or discontinued it due to the PD were defined as non-IBP. The clinical data of the patients were collected, including age, gender, tumor histology, smoking history, Eastern Cooperative Oncology Group (ECOG) performance status, tumor stage, liver/brain metastases, previous lines of therapy, best response to the previous line, initial immunotherapy regimen (monotherapy/combination therapy). ICIs used included nivolumab, pembrolizumab, atezolizumab, and durvalumab. Tumor response, including complete response (CR), PR, SD and PD, were assessed by referring to the Response Evaluation Criteria in Solid Tumors (RECIST) criteria version 1.1 (18). The primary study objective was overall survival (OS), defined as the time from the initiation of the post-PD treatment to death from any cause. The secondary objectives were progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR). PFS was defined as the time from the initiation of the post-PD treatment to disease progression or death from any cause, whichever came first. The ORR was defined as the sum of CR and PR, while the DCR was the sum of CR, PR, and SD. The date of the last follow-up was May 1, 2020.

Statistical analysis

An optimization-based method was used to eliminate the standardized mean difference in an attempt to balance the distribution of covariates between the IBP and non-IBP groups (19). A weight was assigned to patients according to the following criteria: (I) the variance ratio was between 0.67 and 2.0; (II) the absolute value of the standardized mean difference was less than 0.15. Kish’s approximate formula was used to calculate the effective size for the weighted sample. Chi-square or Fisher’s exact test was used to compare categorical variables. Continuous or ordinal variables were compared using the Student’s t-test or Mann-Whitney U test. Kaplan-Meier curves were used to analyze OS and PFS, and the log-rank test was used to compare the survival curves. Cox proportional-hazards regression was performed to calculate the hazard ratios (HRs). P-values were calculated based on a two-sided assumption, and P<0.05 was considered to be statistically significant. Statistical analyses were performed using R for the optimization-based method and survey for the weighted sample (R packages WeightIt version 0.5.1, https://cran.r-project.org/web/packages/WeightIt/index.html; survey version 3.36, https://cran.r-project.org/web/packages/survey/index.html).

Results

Patient clinical characteristics

A total of 125 patients with aNSCLC who experienced PD after treatment with PD-1/PD-L1 inhibitors were enrolled in this study. There were 39 and 86 patients in the IBP group and the non-IBP group, respectively. summarized the patients’ baseline clinical characteristics. The median age for all participants was 59 (range, 33–82) years; 91 (72.8%) patients were male and 34 (27.2%) were female. 75 (60.0%) patients had a smoking history. 47 (37.6%) patients had squamous cell carcinoma and 78 (62.4%) patients had non-squamous cell carcinoma. Liver and brain metastases were presented in 23 (18.4%) and 38 (30.4%) patients, respectively. 25 (20%) patients had positive EGFR mutations status, and 6 (4.8%) patients had positive ALK fusion status. Of the initial immunotherapy regimens, combination therapy was found to be more common than monotherapy (56.0% vs. 44.0%).
Table 1

Baseline characteristics of the patients

CharacteristicsNo. of patients (%)
All patients (n=125)IBP group (n=39)Non-IBP group (n=86)
Median age (range), years59 (33–82)56 (33–82)59 (33–79)
Sex
   Male91 (72.8)29 (74.4)62 (72.1)
   Female34 (27.2)10 (25.6)24 (27.9)
ECOG performance status
   0–1105 (84.0)36 (92.3)69 (80.2)
   ≥220 (16.0)3 (7.7)17 (19.8)
Smoking history
   Ever75 (60.0)23 (59.0)52 (60.5)
   Never50 (40.0)16 (41.0)34 (39.5)
Histology
   Squamous47 (37.6)17 (43.6)30 (34.9)
   Non-squamous78 (62.4)22 (56.4)56 (65.1)
Liver metastases
   Yes23 (18.4)5 (12.8)18 (20.9)
   No102 (81.6)34 (87.2)68 (79.1)
Brain metastases
   Yes38 (30.4)10 (25.6)28 (32.6)
   No87 (69.6)29 (74.3)58 (67.4)
Tumor stage
   IIIB21 (16.8)4 (10.3)17 (19.8)
   IV104 (83.2)35 (89.7)69 (80.2)
EGFR mutation status
   Positive25 (20.0)6 (15.4)19 (22.1)
   Negative58 (46.4)24 (61.5)34 (39.5)
   Unknown42 (33.6)9 (23.1)33 (38.4)
ALK fusion status
   Positive6 (4.8)2 (5.1)4 (4.6)
   Negative87 (69.6)30 (76.9)57 (66.3)
   Unknown32 (25.6)7 (18.0)25 (29.1)
Previous lines of therapy
   133 (26.4)12 (30.8)21 (24.4)
   238 (30.4)8 (20.5)30 (34.9)
   ≥354 (43.2)19 (48.7)35 (40.7)
Best response to previous line
   PR24 (19.2)12 (30.8)12 (14.0)
   SD49 (39.2)14 (35.9)35 (40.7)
   PD52 (41.6)13 (33.3)39 (45.3)
Initial immunotherapy regimen
   Monotherapy55 (44.0)12 (30.8)43 (50.0)
   Combination therapy70 (56.0)27 (69.2)43 (50.0)
      Chemotherapy43 (34.4)16 (41.0)27 (31.4)
      Antiangiogenic therapy16 (12.8)7 (17.9)9 (10.5)
      Chemotherapy and antiangiogenic therapy11 (8.8)4 (10.3)7 (8.1)

ECOG, Eastern Cooperative Oncology Group; IBP, immunotherapy beyond progression; PR, partial response; SD, stable disease; PD, progressive disease.

ECOG, Eastern Cooperative Oncology Group; IBP, immunotherapy beyond progression; PR, partial response; SD, stable disease; PD, progressive disease.

Treatment efficacy beyond immunotherapy PD

The IBP group had a median OS of 26.6 months (95% CI: 13.3–NA), compared with 9.5 months (95% CI: 7.7–12.8) in the non-IBP group (HR, 0.40; 95% CI: 0.23–0.69; P<0.001). The 1-year OS rates were 67% (95% CI: 0.53–0.84) and 39% (95% CI: 0.29–0.52) in the IBP and non-IBP groups, respectively. The median PFS was 8.9 months (95% CI: 7.4–13.6) in the IBP group and 4.1 months (95% CI: 3.1–5.2) in the non-IBP group (HR, 0.41; 95% CI: 0.26–0.65; P<0.001). The ORR in the IBP group was not statistically different from that in the non-IBP group (15.4% vs. 11.6%, P=0.560). The DCR was significantly higher in the IBP group than in the non-IBP group (89.7% vs. 61.6%, P<0.001; ).
Table 2

Tumor response in all patients

Best responseIBP groupNon-IBP groupP value
CR, n (%)0 (0)0 (0)
PR, n (%)6 (15.4)10 (11.6)
SD, n (%)29 (74.3)43 (50.0)
PD, n (%)4 (10.3)33 (38.4)
ORR, n (%)6 (15.4)10 (11.6)0.560
DCR, n (%)35 (89.7)53 (61.6)0.001

CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease; ORR, objective response rate; DCR, disease control rate; IBP, immunotherapy beyond progression.

CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease; ORR, objective response rate; DCR, disease control rate; IBP, immunotherapy beyond progression. By the exploratory subgroup analysis, unweighted for covariates between the IBP and the non-IBP groups, IBP showed a significant benefit in terms of OS and PFS in the overall population and particularly for OS in males, squamous histology, no brain or liver metastases, any age, not beyond ≥ the third treatment line, with PR to the previous ICI and monotherapy as previous ICI (Figure S1). After optimization-based weighting (Table S1), OS was longer for patients in the IBP group than for those in the non-IBP group (mOS: 26.6 vs. 10.7 months; HR, 0.40; 95% CI: 0.19–0.84; P=0.015) and PFS showed similar results (mPFS: 9.7 vs. 4.3 months; HR, 0.28; 95% CI: 0.15–0.51; P<0.001). The Kaplan-Meier curves of OS and PFS in both original and weighted data were presented in .
Figure 1

Kaplan-Meier curves of OS (A,B) and PFS (C,D) from original data and weighted data in the total study population. IBP, immunotherapy beyond progression; non-IBP, non-immunotherapy beyond progression; mOS, median overall survival; mPFS, median progression-free survival; HR, hazard ratio; CI, confidence interval.

Kaplan-Meier curves of OS (A,B) and PFS (C,D) from original data and weighted data in the total study population. IBP, immunotherapy beyond progression; non-IBP, non-immunotherapy beyond progression; mOS, median overall survival; mPFS, median progression-free survival; HR, hazard ratio; CI, confidence interval.

Subgroup analysis by the initial immunotherapy regimens

A subgroup analysis was performed to explore the efficacy of IBP based on patients’ initial immunotherapy regimens (monotherapy or combination therapy). Optimization-based weighting was conducted to balance the distribution of covariates by minimizing the standardized mean difference in the ICI monotherapy and combination therapy subgroups (Tables S2 and S3). In the ICI monotherapy subgroup, the median OS was statistically significantly different between the IBP and the non-IBP groups (26.6 vs. 10.9 months; HR, 0.31; 95% CI: 0.11–0.84; P=0.021). The median PFS in the IBP group was 10.6 months (95% CI: 4.8–28.0) compared with 2.1 months (95% CI: 1.9–4.1) in the non-IBP group (HR, 0.16; 95% CI: 0.05–0.47; P<0.001). In the combination therapy subgroup, the IBP had longer OS than the non-IBP patients’ group (mOS, 28.8 vs. 11.2 months; HR, 0.42; 95% CI: 0.18–0.97; P=0.042). The median PFS in the IBP group was longer than that in the non-IBP group (mPFS, 8.5 vs. 4.6 months; HR, 0.55; 95% CI: 0.27–1.16), although the difference was not statistically significant (P=0.115). The Kaplan-Meier curves of the ICI monotherapy and combination therapy subgroups were shown in .
Figure 2

Kaplan-Meier curves of OS (A,B) and PFS (C,D) from original data and weighted data in the initial immune monotherapy subgroup. IBP, immunotherapy beyond progression; non-IBP, non-immunotherapy beyond progression; mOS, median overall survival; mPFS, median progression-free survival; HR, hazard ratio; CI, confidence interval.

Figure 3

Kaplan-Meier curves of OS (A,B) and PFS (C,D) from original data and weighted data in the initial immune combination therapy subgroup. IBP, immunotherapy beyond progression; non-IBP, non-immunotherapy beyond progression; mOS, median overall survival; mPFS, median progression-free survival; HR, hazard ratio; CI, confidence interval.

Kaplan-Meier curves of OS (A,B) and PFS (C,D) from original data and weighted data in the initial immune monotherapy subgroup. IBP, immunotherapy beyond progression; non-IBP, non-immunotherapy beyond progression; mOS, median overall survival; mPFS, median progression-free survival; HR, hazard ratio; CI, confidence interval. Kaplan-Meier curves of OS (A,B) and PFS (C,D) from original data and weighted data in the initial immune combination therapy subgroup. IBP, immunotherapy beyond progression; non-IBP, non-immunotherapy beyond progression; mOS, median overall survival; mPFS, median progression-free survival; HR, hazard ratio; CI, confidence interval.

Subgroup analysis by the best response to initial immunotherapy

The patients whose best response to initial immunotherapy was CR/PR were defined as the response group, while those with SD/PD as the non-response group. For the limited sample size of the response subgroup, the covariate distribution could not be balanced. OS and PFS curves for this subgroup from original unweighted data were shown in Figure S2: the median OS was 28.8 months in IBP compared with 12.4 months in the non-IBP group (HR, 0.08; 95% CI: 0.01–0.67; P=0.019); the median PFS was 17.0 months in the IBP compared with 2.5 months in the non-IBP group (HR, 0.26; 95% CI: 0.09–0.79; P=0.017). After balancing the distribution of covariates in the non-response subgroup (Table S4), patients in the IBP group had longer OS (mOS: 26.6 vs. 10.5 months; HR, 0.41; 95% CI: 0.19–0.87; P=0.020) and PFS (mPFS: 9.7 vs. 4.6 months; HR, 0.35; 95% CI: 0.19–0.64; P<0.001) than those in the non-IBP group ().
Figure 4

Kaplan-Meier curves of OS (A,B) and PFS (C,D) from original data and weighted data in the subgroup of patients who had SD/PD as their best response to previous line of therapy. IBP, immunotherapy beyond progression; non-IBP, non-immunotherapy beyond progression; mOS, median overall survival; mPFS, median progression-free survival; HR, hazard ratio; CI, confidence interval.

Kaplan-Meier curves of OS (A,B) and PFS (C,D) from original data and weighted data in the subgroup of patients who had SD/PD as their best response to previous line of therapy. IBP, immunotherapy beyond progression; non-IBP, non-immunotherapy beyond progression; mOS, median overall survival; mPFS, median progression-free survival; HR, hazard ratio; CI, confidence interval.

Discussion

With the continuous development of immunotherapy for cancer, the treatment choice for patients who experience disease progression to immunotherapy has become a new of unmet need (20). Previous studies have reported that IBP might be effective for patients with aNSCLC (21-25). In the retrospective OAK study, 322 aNSCLC patients in the atezolizumab group experienced disease progression (26). Among them, patients who continued atezolizumab had a longer OS than those who received other or no further treatments. Similarly, in a retrospective study of more than 4,000 patients with aNSCLC from USA, Stinchcombe et al. (24) reported that IBP patients had a longer OS (11.5 vs. 5.1 months) compared with non-IBP patients. As above mentioned, in a real-world European series of 60 aNSCLC patients with PD-L1 ≥50% progressed to first-line pembrolizumab, IBP with pembrolizumab and possible local ablative radiotherapies (in 18/60 patients, 30%) showed a non-significant difference in post-PD median OS as compared to salvage chemotherapy (in 42/60 patients, 70%) (8.1 vs. 6.9 months, P=0.08) (17). However, there is little real-world data on IBP for NSCLC patients in China. In this study, we observed that patients who received IBP showed a survival benefit as compared to those who did not receive this, with longer PFS and OS confirmed after balancing the clinical baseline characteristics between these two groups. To the best of our knowledge, this is the first study using real-world data on IBP for NSCLC in a Chinese population. According to a subgroup analysis of IBP with nivolumab, Ricciuti et al. (27) reported a survival benefit for patients in the IBP group as compared to non-IBP patients, independently by the best response to the initial immunotherapy, whether disease control or PD. Similarly, our results demonstrated a longer OS and PFS in the IBP than in the non-IBP patients’ group, either in the subgroup of patients who responded to the initial immunotherapy or in those who showed no response. Furthermore, we explored whether the initial immunotherapy regimen (monotherapy or combination therapy) affected the outcome of post-progression immunotherapy. By the subgroup analysis, weighted for possible differences in covariates, the benefit from IBP was observed in either the monotherapy or combination ICI therapy subgroups; whilst by the unweighted subgroup analysis, it seemed related to the previous ICI monotherapy only. This possible difference could be explained by the proper weighting of patient characteristics, but the small number of patients in the two subgroups should also be considered. Therefore, the curative effect of immunotherapy remains to be determined and further research on predictive biomarkers is needed. The mechanism by which some patients who experience progression after initial immunotherapy may benefit from subsequent immunotherapy is still unclear. One reason for this may rely on differences between PD-1/PD-L1 inhibitors (28). And it may take time for the immune system to activate. The interaction between immune system and tumor may lead to fluctuations in clinical efficacy (29). Moreover, to reflect the continuous effect of immunotherapy after the first immunotherapy for PD, and in reference to Ricciuti’s study mentioned above (27), we defined whether the duration of immunotherapy after PD exceeded 6 weeks as the boundary between the two groups. Of course, it’s not necessarily the best cut-off point in this study. What’s more, the current efficacy evaluation criteria for disease response, RECIST v1.1, might not completely applicable to immunotherapy (29). Atypical responses of NSCLC to ICI therapy could, for instance, explain why few patients who achieve a curative effect are mistakenly considered to have disease progression; therefore, the effectiveness of ICIs may be underestimated by RECIST v1.1 (30). The present study has some limitations. Firstly, although we used an optimization-based method to balance the differences in main baseline clinical characteristics between the groups, other potential factors we might have not considered could have interfered with the conclusions. Secondly, this study was based on the medical records of a single center and the sample size was relatively small; this may undermine the reliability of the results, particularly of those from the subgroup analyses, which should therefore be considered as hypothesis-generating. Thirdly, the retrospective nature of this study has inherent disadvantages that may result in recall bias and selection bias. Finally, we cannot adequately estimate the real contribution of salvage chemotherapy following ICIs, although in recent a retrospective series of 342 aNSCLC patients, the reported mOS of 6.8 months and mPFS of 4.1 months seem quite similar to those observed in our non-IBP group (31). Therefore, our findings warrant further validation in multi-center prospective clinical trials with large cohorts.

Conclusions

IBP may enable patients with aNSCLC to achieve prolonged OS and PFS. Our findings may suggest new treatment options for patients with aNSCLC who experience disease progression after initial immunotherapy. The article’s supplementary files as
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Authors:  Deniz Can Guven; Emre Yekeduz; Enes Erul; Sati Coskun Yazgan; Taha Koray Sahin; Gokturk Karatas; Sercan Aksoy; Mustafa Erman; Suayib Yalcin; Yuksel Urun; Saadettin Kilickap
Journal:  J Cancer Res Clin Oncol       Date:  2022-08-12       Impact factor: 4.322

Review 2.  Biological Rationale for Peripheral Blood Cell-Derived Inflammatory Indices and Related Prognostic Scores in Patients with Advanced Non-Small-Cell Lung Cancer.

Authors:  Giuseppe Luigi Banna; Alex Friedlaender; Marco Tagliamento; Veronica Mollica; Alessio Cortellini; Sara Elena Rebuzzi; Arsela Prelaj; Abdul Rafeh Naqash; Edouard Auclin; Lucia Garetto; Laura Mezquita; Alfredo Addeo
Journal:  Curr Oncol Rep       Date:  2022-10-18       Impact factor: 5.945

3.  A nomogram model based on peripheral blood lymphocyte subsets to assess the prognosis of non-small cell lung cancer patients treated with immune checkpoint inhibitors.

Authors:  Xiaoling Xu; Ding Wang; Wei Chen; Na Li; Rafal Suwinski; Antonio Rossi; Rafael Rosell; Jianxiang Zhong; Yun Fan
Journal:  Transl Lung Cancer Res       Date:  2021-12

4.  Mitosis-related gene CENP-U as a potential biomarker in malignancy.

Authors:  Changjian Shao; Yuanyong Wang; Hongtao Duan; Peng Ding; Yimeng Zhang; Jiayi Ning; Jing Han; Tao Jiang; Xiaolong Yan
Journal:  Ann Transl Med       Date:  2021-12

5.  Study protocol: A single-arm, multicenter, phase II trial of camrelizumab plus apatinib for advanced nonsquamous NSCLC previously treated with first-line immunotherapy.

Authors:  Puyuan Xing; Mengzhao Wang; Jun Zhao; Wei Zhong; Yujia Chi; Ziyi Xu; Junling Li
Journal:  Thorac Cancer       Date:  2021-08-18       Impact factor: 3.500

6.  Immune checkpoint inhibitor (ICI)-based treatment beyond progression with prior immunotherapy in patients with stage IV non-small cell lung cancer: a retrospective study.

Authors:  Tian Tian; Min Yu; Yang Yu; Ke Wang; Panwen Tian; Ziyue Luo; Zhenyu Ding; Ye Wang; Youling Gong; Jiang Zhu; Bingwen Zou; Terence T Sio; Adelaide Alves; Yongmei Liu; Meijuan Huang; You Lu
Journal:  Transl Lung Cancer Res       Date:  2022-06

7.  Immune checkpoint inhibitor rechallenge in advanced or metastatic non-small cell lung cancer: a retrospective cohort study.

Authors:  Ziyi Xu; Xuezhi Hao; Ke Yang; Qi Wang; Jing Wang; Lin Lin; Fei Teng; Junling Li; Puyuan Xing
Journal:  J Cancer Res Clin Oncol       Date:  2022-01-04       Impact factor: 4.322

  7 in total

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