Literature DB >> 32426052

Association of immune-related pneumonitis with the efficacy of PD-1/PD-L1 inhibitors in non-small cell lung cancer.

Pengfei Cui1, Di Huang2, Zhaozhen Wu2, Haitao Tao3, Sujie Zhang3, Junxun Ma3, Zhefeng Liu3, Jinliang Wang3, Ziwei Huang2, Shixue Chen1, Xuan Zheng1, Yi Hu4.   

Abstract

BACKGROUND: Cutaneous adverse events (AEs) have been positively associated with immune checkpoint inhibitor (ICI) efficacy in patients with melanoma, but little is known regarding the association between checkpoint inhibitor pneumonitis (CIP) and programmed cell death protein 1/programmed death ligand 1 (PD-1/PD-L1) inhibitor efficacy in non-small cell lung cancer (NSCLC).
METHODS: A single-institution, retrospective medical record review of patients with advanced or recurrent NSCLC who were treated with PD-1/PD-L1 inhibitors between 1 September 2015 and 1 June 2019 was conducted. A total of 276 NSCLC patients with or without immune-related pneumonitis who received at least one dose of ICIs and had at least one follow-up visit were identified. Kaplan-Meier curves of the progression-free survival (PFS) of patients stratified according to immune-related pneumonitis development were evaluated with the log-rank test as a preplanned primary objective. Multivariate analysis of PFS was performed with Cox proportional hazard regression models.
RESULTS: In the cohort of 276 patients, 42 patients developed CIP attributed to PD-1/PD-L1 inhibitors. Survival analysis showed that the overall response rate was significantly higher in patients with CIP than in those without CIP (61.90% versus 29.91%, respectively, p < 0.01), and that CIP development was significantly associated with increased PFS (45.80 weeks versus 21.15 weeks, respectively, p < 0.01). Additionally, 16-week landmark analysis produced the same results. Similarly, subgroup analysis of PD-1 inhibitor-treated, nivolumab-treated, and pembrolizumab-treated groups also revealed that CIP increased survival in NSCLC patients. Additionally, grade 1-2 pneumonitis showed an association with increased ICI efficacy in NSCLC; however, grade 3-4 pneumonitis did not. In addition, only two of the four pneumonitis radiological subtypes showed associations with increased ICI efficacy in NSCLC.
CONCLUSION: CIP is associated with enhanced PD-1/PD-L1 inhibitor efficacy in NSCLC patients. Grade 1-2 pneumonitis and the radiological features of hypersensitivity and cryptogenic organizing pneumonia (COP) may be signs of enhanced ICI efficacy. However, further studies with larger numbers of patients and longer follow-up times are needed to validate our findings.
© The Author(s), 2020.

Entities:  

Keywords:  PD-1 inhibitors; PD-L1 inhibitors; efficacy; immune-related pneumonitis; non-small cell lung cancer

Year:  2020        PMID: 32426052      PMCID: PMC7222233          DOI: 10.1177/1758835920922033

Source DB:  PubMed          Journal:  Ther Adv Med Oncol        ISSN: 1758-8340            Impact factor:   8.168


Introduction

The development of immune checkpoint inhibitors (ICIs) has improved treatment outcomes for various types of cancer, including melanoma, non-small cell lung cancer (NSCLC), and renal cell cancer.[1-8] On the other hand, patients treated with ICIs sometimes experience unique adverse events (AEs) called immune-related adverse events (irAEs).[9,10] The development of cutaneous AEs has been found to be associated with a survival benefit in melanoma,[11-14] indicating that the occurrence of such events might reflect antitumor responses. Similarly, recent studies have suggested a similar association in patients with advanced NSCLC.[15-17] However, whether the occurrence of immune-related pneumonitis has predictive value in NSCLC patients treated with programmed cell death protein 1/programmed death ligand 1 (PD-1/PD-L1) inhibitors remains to be confirmed. We performed a retrospective cohort study to investigate immune-related pneumonitis and its association with the clinical activity of PD-1/PD-L1 inhibitors in NSCLC.

Methods

Study design and patients

The Ethics Committee of the Chinese People’s Liberation Army General Hospital approved this retrospective cohort study on patients with advanced (stage IIIB–IV) or recurrent NSCLC who were treated with PD-1/PD-L1 inhibitors at the Cancer Center of the Chinese People’s Liberation Army General Hospital between 1 September 2015 and 1 June 2019. Patients who received at least one cycle of ICI treatment and completed at least one follow-up visit were included. The end of the follow-up period was 31 August 2019. We reviewed patient medical records from 1 September 2015 to 31 August 2019. From this review, we identified 276 patients who received PD-1/PD-L1 inhibitors. Both monotherapy with PD-1/PD-L1 inhibitors and combined treatment with chemotherapy were included. The monotherapy included PD-1/PD-L1 inhibitors for NSCLC. The combination therapy included PD-1/PD-L1 inhibitors + pemetrexed + carboplatin for non-squamous NSCLC and PD-1/PD-L1 inhibitors + carboplatin + nab-paclitaxel for lung squamous carcinoma. Medical records were reviewed, and data for clinicopathological features and treatment history were extracted. We collected the following data: patient demographics, therapeutic regimen, type of disease, stage of disease, time point of disease progression, pulmonary AEs attributed to ICIs, time point of immune-related pneumonitis, driver gene mutation status, and PD-L1 expression. Tumor response was assessed by computed tomography according to RECIST version 1.1 every 6–8 weeks. Progression-free survival (PFS) was measured from the time of treatment initiation to clinical or radiographic disease progression or death from any cause. Patients without documented clinical or radiographic progression were censored on the date of the last follow up. A checkpoint inhibitor pneumonitis (CIP) diagnosis was determined clinically by the treating oncologist in consultation with pulmonologists and a radiologist. Briefly, using a combination of clinical (history, exam, pulse oximetry, and pulmonary function testing), radiographic (presence or absence of tumor progression and the pattern of parenchymal infiltrates), and biological parameters (sputum cultures and/or bronchoscopy, respiratory viral cultures, and routine labs), we excluded alternative aetiologies such as heart failure, infection, and tumor progression. Pneumonitis was graded based on the National Cancer Institute’s Common Terminology Criteria for Adverse Events (CTCAE), version 4.03.10. Disease progression was defined according to immune-related response criteria.[18] ICI therapy was discontinued in all cases when a patient was diagnosed with symptomatic CIP (CTCAE grade 2 or higher). All patients diagnosed with CIP were treated with high-dose corticosteroids as per current guidelines.[19,20] Following initiation of steroid therapy, clinical improvement was defined as a decrease in oxygen requirement, an increase in exercise capacity, and a decrease in radiographic infiltrates. Conversely, worsening was defined as a lack of improvement in oxygen requirement, exercise capacity, and/or radiographic infiltrates after 72 h of corticosteroid therapy. Each radiologist described the radiological patterns of pneumonitis according to the study by Naidoo et al.[21] The radiological features of CIP were classified into four subtypes: cryptogenic organizing pneumonia (COP)-like, ground-glass opacities (GGO), interstitial, and hypersensitivity. The study was approved by the institutional review board of People’s Liberation Army General Hospital, Beijing, China (approval number: S2018-092-01). This clinical study was conducted in accordance with the Declaration of Helsinki. Because of the retrospective nature of the study, informed consent was waived by the Ethics Committee of Chinese People’s Liberation Army General Hospital. This paper does not contain any individual person’s data in any form.

Statistical analysis

Statistical analyses were performed using Stata, version 15.1 (StataCorp). To compare groups, we used Fisher’s exact test (categorical variables) or the Wilcoxon rank-sum test (continuous variables). Time to disease progression was calculated from the first ICI cycle to progression. Differences in PFS curves were estimated with the Kaplan–Meier method, according to the absence or presence of CIP, and evaluated with the log-rank test as a preplanned primary objective. Other analyses were performed as secondary objectives. Fisher’s exact test was applied to compare overall response rates. Univariate and multivariate Cox proportional hazard regression models were adopted to determine hazard ratios. Multivariate analysis was performed with adjustments for age, sex, the number of treatment lines, PD-L1 expression, central nervous system (CNS) metastasis, histology, and treatment cycles. Taking into account the lead-time bias due to the time-dependent nature of irAEs, we also performed 16-week landmark analysis of PFS, including only patients manifesting disease control at 112 days after initiation of ICI therapy (that is, patients who manifested disease control with development of pulmonary AEs before day 113 were compared with those who manifested disease control without development of immune-related pneumonitis before day 113 in the 16-week landmark analysis of PFS, whereas patients whose follow-up time was less than 113 days were excluded). In addition, 12-week and 20-week landmark analyses were performed as complementary evaluations. All p values were based on a two-sided hypothesis, and those less than 0.05 were considered statistically significant.

Results

Patient characteristics

We included 276 patients with advanced or recurrent NSCLC who were treated with PD-1/PD-L1 inhibitors in our study (consisting of 175 non-squamous NSCLC patients and 101 squamous carcinoma patients). Of the 276 patients, 205 (74.28%) were males and 71 (25.72%) were females. Their ages ranged from 29 to 86 years, with a median age of 61 years. The baseline patient characteristics are shown in Table 1.
Table 1.

Patient characteristics.

No. of patients (%)
CharacteristicAll patients(n = 276)Pneumonitis (n = 42)Non pneumonitis (n = 234)p value
Median age (range), years61 (29–86)61 (39–86)60.5 (29–79)0.720
Sex0.181
 Male205 (74.28)35 (83.33)170 (72.65)
 Female71 (25.72)7 (2.38)64 (27.35)
ECOG performance status0.075
 0–1228 (82.61)39 (92.86)189 (80.77)
 ⩾248 (17.39)3 (7.14)45 (19.23)
Smoking history0.171
 Current or former170 (61.59)30 (71.43)140 (59.83)
 Never106 (38.41)12 (28.57)94 (40.17)
Stage0.622
 Recurrence37 (13.41)4 (9.52)33 (14.10)
 IIIB–IV239 (86.59)38 (90.48)201 (85.90)
Metastasis
 CNS versus no CNS63 (22.83) versus 213 (77.17)9 (21.43) versus 33 (78.57)54 (23.08) versus 180 (76.92)1.000
 Intrathoracic only versus no intrathoracic132 (47.83) versus 144 (52.17)16 (38.10) versus 26 (61.90)116 (49.57) versus 118 (50.43)0.183
Histology0.387
 Squamous101 (36.59)18 (42.86)83 (35.47)
 Non-squamous175 (63.41)24 (57.14)151 (64.53)
EGFR mutation status0.406
 Positive39 (14.13)5 (11.90)34 (14.53)
 Negative145 (52.54)19 (45.24)126 (53.85)
 Not examined92 (33.33)18 (42.86)74 (31.62)
ALK fusion status 0.035
 Positive4 (1.45)0 (0)4 (1.71)
 Negative204 (73.91)25 (59.52)179 (76.50)
 Not examined68 (24.64)17 (40.48)51 (21.79)
PD-L1 expression0.142
 <116 (5.80)0 (0)16 (6.84)
 1–4932 (11.59)3 (7.14)29 (12.39)
 ⩾5040 (14.49)9 (21.43)31 (13.25)
 Not examined188 (68.12)30 (71.43)158 (67.52)
Treatment lines0.293
 197 (35.14)18 (42.86)79 (33.76)
 ⩾2179 (64.86)24 (57.14)155 (66.24)
Previous target therapy0.700
 No206 (74.64)33 (78.57)173 (73.93)
 Yes70 (25.36)9 (21.43)61 (26.07)
Prior thoracic radiotherapy0.848
 No207 (75.00)31 (73.81)176 (75.21)
 Yes69 (25.00)11 (26.19)58 (24.79)
Combined with chemotherapy0.089
 No160 (57.97)19 (45.24)141 (60.26)
 Yes116 (42.03)23 (54.76)93 (39.74)
Agent0.337
 PD-1 inhibitors255 (92.39)37 (88.10)218 (93.16)
 PD-L1 inhibitors21 (7.61)5 (11.90)16 (6.84)
Agent0.098
 Nivolumab109 (39.49)13 (30.95)96 (41.03)
 Pembrolizumab146 (52.90)24 (57.14)122 (52.14)
 Atezolizumab15 (5.43)2 (4.76)13 (5.56)
 Durvalumab6 (2.17)3 (7.14)3 (1.28)
Cycles of treatment, median (range), No.5 (1–38)8 (1–38)5 (1–31) 0.005
Follow up time, (range), days256.5 (13–1288)350 (31–1288)232 (13–1286) 0.005
Overall response rate96 (34.78)26 (61.90)70 (29.91) 0.000

ALK, anaplastic lymphoma kinase gene; CNS, central nervous system; ECOG, Eastern Cooperative Oncology Group; EGFR, epidermal growth factor receptor gene; PD-1, programmed cell death protein 1; PD-L1, programmed cell death ligand 1; No., number.

Patient characteristics. ALK, anaplastic lymphoma kinase gene; CNS, central nervous system; ECOG, Eastern Cooperative Oncology Group; EGFR, epidermal growth factor receptor gene; PD-1, programmed cell death protein 1; PD-L1, programmed cell death ligand 1; No., number. CIP occurred in 42 of the 276 patients with NSCLC (15.22%), 37 of 255 patients treated with PD-1 inhibitors (14.51%), 5 of 21 patients treated with PD-L1 inhibitors (23.81%), 13 of 109 patients treated with nivolumab (11.93%), 24 of 146 patients treated with pembrolizumab (16.44%), 2 of 15 patients treated with atezolizumab (13.33%), and 3 of 6 patients treated with durvalumab (50%). According to the CTCAE, 30 of the 42 cases (71.43%) were grade 1 pneumonitis, 5 of the 42 cases (11.90%) were grade 2, 5 of the 42 cases (11.90%) were grade 3, and 2 of the 42 cases (4.76%) were grade 4. The radiological features of pneumonitis were classified into four subtypes: COP-like [7 of 42 (16.67%)], GGO [6 of 42 (14.29%)], interstitial [13 of 42 (30.95%)], and hypersensitivity [16 of 42 (38.10%)] (Figure S1 in the Supplement). Of the 42 patients with pneumonitis, 12 (28.57%) received systemic steroid therapy. The time to onset of CIP ranged from 20 to 687 days (median, 134) from the start of ICI treatment. The CIP profile is shown in Table 2.
Table 2.

Pneumonitis in patients treated with PD-1/PD-L1 inhibitors.

No. (%)
Total (n = 276)PD-1 inhibitors (n = 255)PD-L1 inhibitors (n = 21)Nivolumab (n = 109)Pembrolizumab (n = 146)Atezolizumab (n = 15)Durvalumab (n = 6)
Pneumonitis42 (15.22)37 (14.51)5 (23.81)13 (11.93)24 (16.44)2 (13.33)3 (50%)
Grade
130 (71.43)26 (70.27)4 (80)9 (69.23)17 (70.83)1 (50)3 (100)
25 (11.90)5 (13.51)0 (0)3 (23.08)2 (8.33)0 (0)0 (0)
35 (11.90)4 (10.81)1 (20)0 (0)4 (16.67)1 (50)0 (0)
42 (4.76)2 (5.41)0 (0)1 (7.69)1 (4.17)0 (0)0 (0)
Radiologic subtypes
COP7 (16.67)7 (18.92)0 (0)4 (30.77)3 (12.5)0 (0)0 (0)
Ground glass opacities6 (14.29)4 (10.81)2 (40)1 (7.69)3 (12.5)0 (0)2 (66.67)
Interstitial13 (30.95)12 (32.43)1 (20)1 (7.69)11 (45.83)0 (0)1 (33.33)
Hypersensitivity16 (38.10)14 (37.84)2 (40)7 (53.85)7 (29.17)2 (100)0 (0)
Systemic steroid therapy12 (28.57)11 (29.73)1(20)4 (30.77)7 (29.17)1 (50)0 (0)
Days to onset,median (range), days134 (20–687)134 (20–687)134 (20–687)148 (21–565)107.5 (20–687)85 (82–88)335 (46–336)

COP, Cryptogenic organizing pneumonia-like; PD-1, programmed cell death protein 1; PD-L1, programmed cell death ligand 1.

Pneumonitis in patients treated with PD-1/PD-L1 inhibitors. COP, Cryptogenic organizing pneumonia-like; PD-1, programmed cell death protein 1; PD-L1, programmed cell death ligand 1. For 16-week landmark analysis, 101 patients were excluded from the NSCLC group, 67 patients were excluded from the non-squamous NSCLC group, and 34 patients were excluded from the squamous carcinoma group because of disease progression before day 113 of ICI treatment or because their follow-up time was less than 113 days for the PFS analysis (Table S1 in the Supplement).

Association of CIP with PD-1/PD-L1 inhibitor efficacy

Baseline characteristics, except for treatment cycles and follow-up time, did not differ between patients who developed CIP and those who did not (Table 1 and Table S1 in the Supplement). Survival analysis showed that the overall response rate was significantly higher in the patients with CIP than in those without CIP [26 of 42 patients (61.90%) versus 70 of 234 patients (29.91%), respectively, p < 0.01] and that the development of CIP was significantly associated with increased PFS (p < 0.01) (Figure 1). Taking into account the lead-time bias due to the time-dependent nature of CIP, we performed a 16-week landmark analysis for PFS (n = 175). This analysis showed that the objective response rate was significantly higher in patients with CIP than in those without CIP (81.82% versus 42.07%, respectively, p = 0.013) and that the development of CIP significantly increased PFS in NSCLC (p = 0.01) (Figure S2 in the Supplement). Similar results were obtained with 12-week and 20-week landmark analyses. When adjusted for age, sex, the number of treatment lines, PD-L1 expression, CNS metastasis, histology, and treatment cycles, which may affect ICI efficacy, multivariate analysis also revealed that CIP was significantly associated with increased PFS (Table S2 in the Supplement).
Figure 1.

Analysis of PFS for patients with or without CIP.

CI, confidence interval; CIP, checkpoint inhibitor pneumonitis; PFS, progression-free survival.

Figure 2.

Analysis of PFS for patients according to the grades of CIP.

CI, confidence interval; CIP, checkpoint inhibitor pneumonitis; PFS, progression-free survival.

Analysis of PFS for patients with or without CIP. CI, confidence interval; CIP, checkpoint inhibitor pneumonitis; PFS, progression-free survival.

Association of CIP with efficacy by subgroup analysis

Subgroup analysis of NSCLC patients was conducted. In the PD-1 inhibitor group, survival analysis showed that the development of CIP was significantly associated with increased PFS (p < 0.01) (Figure S3 in the Supplement). Similar results were obtained in the nivolumab and pembrolizumab groups (Figures S4 and S5 in the Supplement), whereas the PD-L1 inhibitor group did not achieve similar efficacy, which may be due to the limited number of patients included in the subgroup. We also explored the associations between the grades or radiological subtypes of CIP and ICI efficacy. This analysis showed that grade 1–2 CIP was significantly associated with increased PFS (p < 0.01), whereas grade 3–4 CIP was not (Figure 2). Hypersensitivity pneumonitis and COP-like pneumonitis increased PFS significantly (p < 0.01) (Figure 3). Multivariate analysis also revealed the same results (Table S2 in the Supplement).
Figure 3.

Analysis of PFS for patients according to the radiological subtypes of CIP.

CI, confidence interval; CIP, checkpoint inhibitor pneumonitis; COP, cryptogenic organizing pneumonia; GGO, ground-glass opacities; PFS, progression-free survival.

Analysis of PFS for patients according to the grades of CIP. CI, confidence interval; CIP, checkpoint inhibitor pneumonitis; PFS, progression-free survival. Analysis of PFS for patients according to the radiological subtypes of CIP. CI, confidence interval; CIP, checkpoint inhibitor pneumonitis; COP, cryptogenic organizing pneumonia; GGO, ground-glass opacities; PFS, progression-free survival.

Discussion

In this study, we described the relationship between the development of pneumonitis and survival in ICI-treated NSCLC patients. The results of this retrospective cohort study describe the incidence of CIP in a cohort of 276 patients treated with ICIs. A total of 42 patients (15.22%) developed CIP that was attributed to ICIs, and CIP was positively associated with ICI efficacy in patients with NSCLC. Additionally, our landmark analyses minimized the lead-time bias potentially associated with time-dependent factors such as irAEs. This result was further supported by our multivariate analysis. Subgroup analysis showed that CIP was also positively associated with efficacy in patients treated with PD-1 inhibitors, including nivolumab and pembrolizumab. CIP was not associated with efficacy in the PD-L1 inhibitor group; however, this result needs to be further confirmed by studies including a large number of patients. This study also revealed that the development of low-grade CIP (grade 1–2) increased survival in NSCLC patients treated with ICIs, whereas higher grade CIP did not. Four subtypes of radiological features were described in our study, and the interstitial and hypersensitivity types were more common than the other two types, which was not in accordance with the results of Naidoo et al.[21] And our study further analyzed the association between the radiological features and the efficiency of ICIs, which suggested that hypersensitivity and COP-like pneumonitis were associated with increased ICI efficacy in NSCLC. The effect of irAEs on disease progression has been studied in other malignancies, and the development of irAEs has been associated with improved responses to therapy and improved survival in some cases.[15,22-25] Most studies have suggested that the development of irAEs improves overall survival (OS) and PFS. However, Suresh et al. described the relationship between the development of pneumonitis and survival in ICI-treated NSCLC patients using a multistate model of illness and death, and suggested that the development of CIP decreased survival in NSCLC.[26] In contrast, our data suggest that the development of CIP after the initiation of ICI therapy is associated with increased survival. Several reasons may explain this difference: Firstly, Suresh’s study used a continuous time Markov multistate model to describe the clinical transitions of those alive with and without CIP to death.[26] This model can describe the transitory states of CIP; thus, it may be more appropriate in the analysis of a time-varying event such as CIPs than the landmark analysis. However, the Markov assumption of the models specified that an individual’s transition was based solely on the current state and not dependent on the time that was spent in a prior state. Whereas patients without CIP transited from patients with CIP may have a higher probability of the development of CIP again. So this model should be used with caution when analyzing CIP. Secondly, the majority of patients in Suresh’s study received nivolumab. However, pembrolizumab has a larger proportion than nivolumab in our study. Furthermore, ICI combination with chemotherapy was included in our study, but not in that of Suresh. Thirdly, the endpoint of Suresh’s study was OS, which was more convincing than PFS in our study. Few studies have explored the association between CIP and responses to ICI therapy in NSCLC.[26] However, our study is the first, to our knowledge, to suggest that the grades and radiological features of CIP may also affect the efficacy of ICIs in NSCLC. The mechanisms underlying the association of irAEs with the outcome of PD-1 inhibitor treatment are unknown. Previous studies have suggested that antigens shared between melanoma cells and normal melanocytes may contribute to this association.[11,14] Suresh et al. observed several dysregulated immune cell subpopulations in CIP.[27] However, whether lung cancer cells share antigens with the tissues affected by CIP in patients with NSCLC remains to be determined. There are several limitations to our results. First, we performed only landmark analysis of the primary results, which may affect the interpretation of subgroup analysis; however, potential confounding factors, including treatment cycles, were included in our multivariate analysis. Second, the follow-up time was not long enough to allow us to fully address long-term survival outcomes, and OS was not analyzed in this study because of the high loss rate to follow up. Third, this was a single-center retrospective study of NSCLC patients, and information bias, including other irAEs which may affect the efficiency of ICIs, could not be excluded; thus, the association between CIP and ICI efficacy warrants further study with larger cohorts.

Conclusion

Our findings indicate that CIP is positively associated with PD-1/PD-L1 inhibitor efficacy in patients with NSCLC. Specifically, grade 1–2 pneumonitis, hypersensitivity pneumonitis and COP-like pneumonitis increased the survival of NSCLC patients treated with PD-1/PD-L1 inhibitors. These findings may suggest that the lower grades of pneumonitis and the radiological features of hypersensitivity and COP may be signs of enhanced ICI efficacy. However, future studies with larger numbers of patients and longer follow-up times are needed to validate our findings. Click here for additional data file. Supplemental material, eFigures for Association of immune-related pneumonitis with the efficacy of PD-1/PD-L1 inhibitors in non-small cell lung cancer by Pengfei Cui, Di Huang, Zhaozhen Wu, Haitao Tao, Sujie Zhang, Junxun Ma, Zhefeng Liu, Jinliang Wang, Ziwei Huang, Shixue Chen, Xuan Zheng and Yi Hu in Therapeutic Advances in Medical Oncology Click here for additional data file. Supplemental material, eTables for Association of immune-related pneumonitis with the efficacy of PD-1/PD-L1 inhibitors in non-small cell lung cancer by Pengfei Cui, Di Huang, Zhaozhen Wu, Haitao Tao, Sujie Zhang, Junxun Ma, Zhefeng Liu, Jinliang Wang, Ziwei Huang, Shixue Chen, Xuan Zheng and Yi Hu in Therapeutic Advances in Medical Oncology
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Journal:  N Engl J Med       Date:  2018-04-16       Impact factor: 91.245

2.  Practical management of immune-related adverse events from immune checkpoint protein antibodies for the oncologist.

Authors:  Jeffrey S Weber
Journal:  Am Soc Clin Oncol Educ Book       Date:  2012

3.  Nivolumab plus ipilimumab as first-line treatment for advanced non-small-cell lung cancer (CheckMate 012): results of an open-label, phase 1, multicohort study.

Authors:  Matthew D Hellmann; Naiyer A Rizvi; Jonathan W Goldman; Scott N Gettinger; Hossein Borghaei; Julie R Brahmer; Neal E Ready; David E Gerber; Laura Q Chow; Rosalyn A Juergens; Frances A Shepherd; Scott A Laurie; William J Geese; Shruti Agrawal; Tina C Young; Xuemei Li; Scott J Antonia
Journal:  Lancet Oncol       Date:  2016-12-05       Impact factor: 41.316

4.  Early Immune-Related Adverse Events and Association with Outcome in Advanced Non-Small Cell Lung Cancer Patients Treated with Nivolumab: A Prospective Cohort Study.

Authors:  Shunsuke Teraoka; Daichi Fujimoto; Takeshi Morimoto; Hayato Kawachi; Munehiro Ito; Yuki Sato; Kazuma Nagata; Atsushi Nakagawa; Kojiro Otsuka; Keiichiro Uehara; Yukihiro Imai; Kaori Ishida; Junya Fukuoka; Keisuke Tomii
Journal:  J Thorac Oncol       Date:  2017-09-20       Impact factor: 15.609

5.  Guidelines for the evaluation of immune therapy activity in solid tumors: immune-related response criteria.

Authors:  Jedd D Wolchok; Axel Hoos; Steven O'Day; Jeffrey S Weber; Omid Hamid; Celeste Lebbé; Michele Maio; Michael Binder; Oliver Bohnsack; Geoffrey Nichol; Rachel Humphrey; F Stephen Hodi
Journal:  Clin Cancer Res       Date:  2009-11-24       Impact factor: 12.531

6.  Nivolumab versus Docetaxel in Advanced Nonsquamous Non-Small-Cell Lung Cancer.

Authors:  Hossein Borghaei; Luis Paz-Ares; Leora Horn; David R Spigel; Martin Steins; Neal E Ready; Laura Q Chow; Everett E Vokes; Enriqueta Felip; Esther Holgado; Fabrice Barlesi; Martin Kohlhäufl; Oscar Arrieta; Marco Angelo Burgio; Jérôme Fayette; Hervé Lena; Elena Poddubskaya; David E Gerber; Scott N Gettinger; Charles M Rudin; Naiyer Rizvi; Lucio Crinò; George R Blumenschein; Scott J Antonia; Cécile Dorange; Christopher T Harbison; Friedrich Graf Finckenstein; Julie R Brahmer
Journal:  N Engl J Med       Date:  2015-09-27       Impact factor: 91.245

7.  Association of Vitiligo With Tumor Response in Patients With Metastatic Melanoma Treated With Pembrolizumab.

Authors:  Camille Hua; Lise Boussemart; Christine Mateus; Emilie Routier; Céline Boutros; Hugo Cazenave; Roxane Viollet; Marina Thomas; Séverine Roy; Naima Benannoune; Gorana Tomasic; Jean-Charles Soria; Stéphane Champiat; Matthieu Texier; Emilie Lanoy; Caroline Robert
Journal:  JAMA Dermatol       Date:  2016-01       Impact factor: 10.282

8.  Correlation between vitiligo occurrence and clinical benefit in advanced melanoma patients treated with nivolumab: A multi-institutional retrospective study.

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9.  Managing toxicities associated with immune checkpoint inhibitors: consensus recommendations from the Society for Immunotherapy of Cancer (SITC) Toxicity Management Working Group.

Authors:  I Puzanov; A Diab; K Abdallah; C O Bingham; C Brogdon; R Dadu; L Hamad; S Kim; M E Lacouture; N R LeBoeuf; D Lenihan; C Onofrei; V Shannon; R Sharma; A W Silk; D Skondra; M E Suarez-Almazor; Y Wang; K Wiley; H L Kaufman; M S Ernstoff
Journal:  J Immunother Cancer       Date:  2017-11-21       Impact factor: 13.751

Review 10.  Treatment of the Immune-Related Adverse Effects of Immune Checkpoint Inhibitors: A Review.

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Journal:  JAMA Oncol       Date:  2016-10-01       Impact factor: 31.777

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  7 in total

1.  Clinical types of checkpoint inhibitor-related pneumonitis in lung cancer patients: a multicenter experience.

Authors:  Xinqing Lin; Haiyi Deng; Likun Chen; Di Wu; Xiaobo Chen; Yilin Yang; Tao Chen; Xiaohong Xie; Zhanhong Xie; Ming Liu; Ming Ouyang; Yinyin Qin; Shiyue Li; Nanshan Zhong; Jeffrey P Gregg; Nobuyuki Horita; Yong Song; Chengzhi Zhou
Journal:  Transl Lung Cancer Res       Date:  2021-01

2.  Immune-Related Adverse Events Predict the Efficacy of Immune Checkpoint Inhibitors in Lung Cancer Patients: A Meta-Analysis.

Authors:  Donghui Wang; Cen Chen; Yanli Gu; Wanjun Lu; Ping Zhan; Hongbing Liu; Tangfeng Lv; Yong Song; Fang Zhang
Journal:  Front Oncol       Date:  2021-03-01       Impact factor: 6.244

Review 3.  The Hippo Signaling Core Components YAP and TAZ as New Prognostic Factors in Lung Cancer.

Authors:  Yu Jiang; Wen-Jing Xie; Rong-Wei Chen; Wei-Wei You; Wei-Lin Ye; Hong Chen; Wen-Xu Chen; Jian-Ping Xu
Journal:  Front Surg       Date:  2022-03-21

4.  Rate and risk factors of recurrent immune checkpoint inhibitor-related pneumonitis in patients with lung cancer.

Authors:  Haitao Tao; Fangfang Li; Dongxiao Wu; Shiyu Ji; Qingyan Liu; Lijie Wang; Bo Liu; Francesco Facchinetti; Tracy L Leong; Francesco Passiglia; Yi Hu
Journal:  Transl Lung Cancer Res       Date:  2022-03

Review 5.  Immune checkpoint inhibitor-related pneumonitis in non-small cell lung cancer: A review.

Authors:  Yuxuan Hao; Xiaoye Zhang; Li Yu
Journal:  Front Oncol       Date:  2022-08-16       Impact factor: 5.738

6.  Prognostic value of CCR2 as an immune indicator in lung adenocarcinoma: A study based on tumor-infiltrating immune cell analysis.

Authors:  Yi Wan; Xin Wang; Ting Liu; Tianyu Fan; Zugui Zhang; Bin Wang; Bei Zhang; Zibin Tian; Tao Mao; Zheng Gong; Li Zhang
Journal:  Cancer Med       Date:  2021-05-04       Impact factor: 4.452

Review 7.  Clinical management of immune-related adverse events following immunotherapy treatment in patients with non-small cell lung cancer.

Authors:  Hannah Elizabeth Green; Jorge Nieva
Journal:  J Investig Med       Date:  2021-06-14       Impact factor: 2.895

  7 in total

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