Literature DB >> 30536734

Clinical significance of ≥ 50% PD-L1 expression with the SP263 monoclonal antibody in non-small cell lung cancer patients.

Wenbin Li1, Peng Song2, Lei Guo1, Xiuyun Liu1, Changyuan Guo1, Jianming Ying1, Shugeng Gao2.   

Abstract

BACKGROUND: PD-L1 expression in tumor cells has been associated with the efficacy of immune checkpoint inhibitors in non-small cell lung cancer (NSCLC). The aim of this study was to explore correlations between smoking, genetic profiles, patient outcomes, and PD-L1 expression in NSCLC.
METHODS: PD-L1 expression was evaluated in 241 surgically resected specimens by immunostaining and 50% was set as the cutoff value.
RESULTS: Of the 241 tumors analyzed, a PD-L1 tumor proportion score (TPS) of ≥ 50% was detected in 35 cases (14.5%) and a TPS of < 50% in 206 cases (85.5%). A PD-L1 TPS ≥ 50% was significantly associated with smoking and EGFR wild-type status (P < 0.001 and P = 0.039, respectively). Detailed assessment of smoking variables showed that total smoking duration was a predictor of a PD-L1 TPS ≥ 50% (P = 0.001). Univariate and multivariate survival analyses revealed that patients with a PD-L1 TPS ≥ 50% had poorer disease-free and overall survival than those with a PD-L1 TPS < 50% (P = 0.001 and P < 0.001, respectively).
CONCLUSION: The incidence of a PD-L1 TPS ≥ 50% was significantly higher in smoking and EGFR wild-type NSCLC patients, particularly in long-term smokers. A PD-L1 TPS of ≥ 50% was an independent adverse prognostic factor for survival in patients with NSCLC.
© 2018 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd.

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Keywords:  Driver mutation; non-small cell lung cancer; programmed death ligand 1; smoking

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Year:  2018        PMID: 30536734      PMCID: PMC6360219          DOI: 10.1111/1759-7714.12929

Source DB:  PubMed          Journal:  Thorac Cancer        ISSN: 1759-7706            Impact factor:   3.500


Introduction

Remarkable progress has been made in the treatment of lung cancer in recent years. Blockade of immune checkpoints with monoclonal antibodies has recently emerged as a new therapeutic tool for lung cancer.1, 2, 3, 4, 5 Immune responses are fine‐tuned and regulated through a combination of stimulatory and inhibitory molecules and signal pathways. PD‐L1 binds PD‐1 as counter receptors to offer signals that control and suppress cytotoxic T lymphocyte responses in both autoimmune responses and evasion of tumor immunity.6 Consequently, clinical trials of blocking monoclonal antibodies (mAbs) against PD‐1 and PD‐L1 in a variety of solid tumors have shown promising results and have validated this pathway as a therapeutic target. The KEYNOTE‐024 clinical trial demonstrated that pembrolizumab, an anti‐PD‐1 immune checkpoint inhibitor, is associated with longer progression‐free and overall survival (OS) than platinum‐based chemotherapy in advanced non‐small cell lung cancer (NSCLC) patients with a PD‐L1 tumor proportion score (TPS) of ≥ 50%.7, 8 Therefore, evaluation of the relationship between clinicopathological characteristics and a PD‐L1 TPS ≥ 50% might provide valuable information to predict benefit for patients receiving first‐line immunotherapy. Although the association between PD‐L1 expression and clinicopathological characteristics in NSCLC has already been examined, the relationship between oncogenic driver mutations, smoking history, and PD‐L1 expression status remains unclear. Recent studies have demonstrated that high PD‐L1expression is more frequently found in resected NSCLC patients with a smoking history,9, 10, 11 while other studies have found no relationship.12 Furthermore, detailed analysis of the association between PD‐L1 expression and smoking variables was not performed in these studies. Several studies have revealed that the level of PD‐L1 expression is significantly higher in patients with ALK fusion or EGFR mutation, and these driver oncogenic alterations induce PD‐L1 expression by activating downstream signaling pathways in NSCLC.13 However, other studies have shown conflicting results.14, 15 Therefore, precise analysis of PD‐L1 expression and correlations with oncogenic driver mutations and smoking is still worthwhile. In this study, we assessed PD‐L1 expression in surgically resected NSCLC patients by SP263 monoclonal antibody and analyzed the correlations of PD‐L1 expression with cigarette smoking, driver oncogenic alterations, and patient outcomes using a cutoff value of 50% PD‐L1 TPS.

Methods

Patients and samples

We retrospectively screened 241 NSCLC patients who underwent surgery at the Cancer Hospital, Chinese Academy of Medical Sciences (CAMS, Beijing, China) between June 2012 and April 2013. Clinicopathological features, including age, gender, smoking history, histology, pathologic tumor node metastasis (TNM) stage (the American Joint Committee on Cancer 8th edition Lung Cancer Staging system), and EGFR and KRAS mutation status were studied. In addition, detailed assessments of smoking variables were also analyzed, including the average number of cigarettes smoked per day, total smoking duration, and cumulative pack‐years. After surgery, routine examinations, including chest computed tomography and blood tests (including serum tumor markers), were performed at three‐month intervals for the first three years and at six‐month intervals thereafter. The Ethics Committee of the Cancer Hospital, CAMS, approved this study protocol and all patients provided written informed consent prior to study commencement.

Immunohistochemical analysis of PD‐L1

Immunohistochemistry (IHC) was conducted using a fully automated Ventana Benchmark XT stainer with the pre‐diluted Ventana PD‐L1 Rabbit monoclonal primary antibody (SP263, CAT No. 740‐4907; Ventana Medical Systems, Roche Group, Tuscon, AZ, USA). Tumor cells showing membranous staining for PD‐L1 were evaluated as positive cells. The TPS was used to evaluate PD‐L1 expression, which was the percentage of PD‐L1 positive tumor cells showing partial or complete membrane staining in the overall tumor sections. We classified PD‐L1 expression into three levels: PD‐L1 TPS ≥ 50%, PD‐L1 TPS 1–49% and PD‐L1 TPS < 1%. Two experienced observers assessed all immunohistochemical images; if the independent judgments did not agree, the observers reviewed the slides together to achieve consensus.

Detection of EGFR and KRAS mutations

Mutation detection was carried out as previously described.16 Briefly, to determine mutation status, four exons that code for the tyrosine kinase domain of the EGFR gene (exons 18–21) and two exons of the KRAS gene (codons 12, 13) were examined.

Statistical analysis

The relationship between PD‐L1 expression and clinicopathologic variables was evaluated statistically by Pearson's χ2 or Fisher's exact test as appropriate. Multivariable analysis was performed using a logistic regression model to investigate the association between PD‐L1 expression and patient characteristics. Disease‐free survival (DFS) was considered as the period between surgery and the date of the recurrence, and OS as the period between surgery and the date of the last follow‐up or death. These rates were estimated using the Kaplan–Meier method with the log rank test. Cox proportional hazards regression analysis was performed to assess the hazard ratios for positive risk factors. Statistical tests were two‐sided, and the significance level for all analyses was set at P < 0.05. Statistics were calculated using SPSS version 20.0 (IBM Corp., Armonk, NY, USA).

Results

Patient characteristics

The clinicopathologic characteristics of patients, driver mutation status, and PD‐L1 TPS are reported in Table 1. The majority of patients were female (56.0%) and never smokers (60.2%). Almost all patients had a diagnosis of adenocarcinoma (95.0%). KRAS mutations were detected in 23 out of 241 patients (9.5%) and EGFR mutations in 79: 36 patients with a deletion in exon 19, 37 with an L858R mutation in exon 21, and 6 patients with other mutations. A PD‐L1 TPS ≥ 50% was observed in 35 cases (14.5%), a PD‐L1 TPS 1–49% in 53 cases (22.0%), and a PD‐L1 TPS < 1% in 153 cases (63.5%) (Fig 1).
Table 1

Patient characteristics, driver mutation status, and PD‐L1 TPS

CharacteristicsNo. of patients
Gender
Male106 (44.0%)
Female135 (56.0%)
Age (years)
Median56
Range24–77
Smoking history
Never145 (60.2%)
Current/former96 (39.8%)
Histology
Adenocarcinoma229 (95.0%)
Squamous cell carcinoma8 (3.3%)
Adenosquamous carcinoma4 (1.7%)
p stage
IA40 (16.6%)
IB46 (19.1%)
IIA3 (1.2%)
IIB39 (16.2%)
IIIA91 (37.8%)
IIIB22 (9.1%)
EGFR status
Wild‐type162 (67.2%)
Exon 19 deletion36 (14.9%)
Exon 21 L858R37 (15.4%)
Others 6 (2.5%)
KRAS status
Wild‐type218 (90.5%)
Mutated23 (9.5%)
PD‐L1 TPS
< 1%153 (63.5%)
1–49%53 (22.0%)
≥ 50%35 (14.5%)

Others: exon 18, S768I and insertion, exon 21 L861Q, complex mutation with exon 19 deletion + T790M.

TPS, tumor proportion score.

Figure 1

PD‐L1 tumor proportion score (TPS) immunohistochemistry (IHC) results in non‐small cell lung cancer patients using a SP263 antibody on a fully automated Ventana Benchmark XT stainer. (a) Negative staining for PD‐L1; (b) PD‐L1 TPS of 1–10%; (c) PD‐L1 TPS of 11–49%; (d) PD‐L1 TPS of ≥ 50%.

Patient characteristics, driver mutation status, and PD‐L1 TPS Others: exon 18, S768I and insertion, exon 21 L861Q, complex mutation with exon 19 deletion + T790M. TPS, tumor proportion score. PD‐L1 tumor proportion score (TPS) immunohistochemistry (IHC) results in non‐small cell lung cancer patients using a SP263 antibody on a fully automated Ventana Benchmark XT stainer. (a) Negative staining for PD‐L1; (b) PD‐L1 TPS of 1–10%; (c) PD‐L1 TPS of 11–49%; (d) PD‐L1 TPS of ≥ 50%.

Association between PD‐L1 expression and clinicopathological characteristics

The association between a PD‐L1 TPS ≥ 50% and clinicopathological characteristics was examined by Pearson's χ2 or Fisher's exact test (Table S1). A PD‐L1 TPS ≥ 50% was significantly associated with smoking (P < 0.001) and wild type EGFR (P = 0.012). No significant association was found between a PD‐L1 ≥ 50% and gender (male vs. female, P = 0.885), age (> 56 vs. ≤ 56 years, P = 0.060), histology (adenocarcinoma vs. non‐adenocarcinoma, P = 1.000), pathologic tumor stage (I or II vs. III, P = 0.880), or KRAS status (wild‐type vs. mutated, P = 0.054). Multivariate analysis by logistic regression also revealed that a PD‐L1 TPS ≥ 50% was significantly associated with smoking (P < 0.001) and wild type EGFR status (P = 0.032) (Table S2). The relationship between a PD‐L1 TPS ≥ 50% and smoking variables, including average number of cigarettes smoked per day, total smoking duration, and cumulative pack‐years was assessed in smokers. Positive associations were observed between a PD‐L1 TPS ≥ 50% and total smoking duration (P = 0.001) (Table S3).

Univariate and multivariate survival analyses in non‐small cell lung cancer patients

The median follow‐up time for all 241 patients was 30 months (range: 3–66 months). NSCLC patients with a PD‐L1 TPS ≥ 50% had significantly shorter DFS and OS compared to those with a PD‐L1 TPS < 50% (P = 0.001 and P < 0.001, respectively) (Figs 2, 3).
Figure 2

Kaplan–Meier analysis of disease‐free survival according to a PD‐L1 tumor proportion score (TPS) of < 50% or ≥ 50% in non‐small cell lung cancer patients.

Figure 3

Kaplan–Meier analysis of overall survival according to a PD‐L1 tumor proportion score (TPS) of < 50% or ≥ 50% in non‐small cell lung cancer patients.

Kaplan–Meier analysis of disease‐free survival according to a PD‐L1 tumor proportion score (TPS) of < 50% or ≥ 50% in non‐small cell lung cancer patients. Kaplan–Meier analysis of overall survival according to a PD‐L1 tumor proportion score (TPS) of < 50% or ≥ 50% in non‐small cell lung cancer patients. Cox proportional hazards regression models showed that male gender, smoking, advanced stage, wild‐type EGFR, KRAS mutation, and a PD‐L1 TPS ≥ 50% were associated with significantly shorter OS (P = 0.036, P = 0.009, P < 0 0.001, P < 0 0.001, P < 0 0.001, and P < 0.001, respectively). In multivariate analysis, advanced stage, wild‐type EGFR, KRAS mutation, and a PD‐L1 TPS ≥ 50% remained predictors of OS (P < 0.001, P = 0.026, P = 0.040, and P < 0.001, respectively). Cox proportional hazards regression models showed that male gender, smoking, advanced stage, and a PD‐L1 TPS ≥ 50% were associated with significantly shorter DFS (P = 0.011, P = 0.010, P < 0.001, and P = 0.001, respectively), and advanced stage and a PD‐L1 TPS ≥ 50% remained predictors of DFS in multivariate analysis (P < 0.001 and P < 0.001, respectively) (Table 2).
Table 2

Univariate and multivariate analyses of DFS and OS in all patients

DFSOS
FactorsN (%)Univariate analysisMultivariate analysisUnivariate analysisMultivariate analysis
HR 95% CI P HR 95% CI P HR 95% CI P HR 95% CI P
Gender
Male106 (44.0%)1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
Female135 (56.0%)0.640.46–0.900.0110.790.51–1.230.3000.620.40–0.970.0360.770.45–1.340.361
Age (years)
≤ 56118 (49.0%)1.0 (ref)1.0 (ref)
> 56123 (51.0%)0.970.69–1.370.8711.020.65–1.580.946
Smoking history
Never145 (60.2%)1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
Current/former96 (39.8%)1.571.12–2.220.0101.000.62–1.620.9941.811.16–2.810.0090.870.48–1.570.635
Histology
Adenocarcinoma229 (95.0%)1.0 (ref)1.0 (ref)
Non‐Adenocarcinoma12 (5.0%)1.410.66–3.030.3731.840.80–4.230.152
p stage
I/II128 (35.7%)1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
III113 (64.3%)3.872.67–5.61< 0.0013.872.66–5.64< 0.0012.871.79–4.62< 0.0012.721.68–4.42< 0.001
EGFR status
Wild‐type162 (67.2%)1.0 (ref)1.0 (ref)1.0 (ref)
Mutated79 (32.8%)0.700.48–1.020.0650.530.31–0.92< 0.0010.480.25–0.910.026
KRAS status
Wild‐type218 (90.5%)1.0 (ref)1.0 (ref)1.0 (ref)
Mutated23 (9.5%)1.540.90–2.650.1142.661.35–5.21< 0.0011.881.03–3.430.040
PD‐L1 status
< 50%206 (85.5%)1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
≥ 50%35 (14.5%)2.131.39–3.260.0012.551.56–4.18< 0.0012.371.24–4.54< 0.0013.071.73–5.45< 0.001

DFS, disease‐free survival; OS, overall survival; HR, hazard ratio; ref., reference category; TPS, tumor proportion score.

Univariate and multivariate analyses of DFS and OS in all patients DFS, disease‐free survival; OS, overall survival; HR, hazard ratio; ref., reference category; TPS, tumor proportion score.

Discussion

During the past few years, immune checkpoint therapies have established a new era for the treatment of patients beyond tumor types, yet the predictors of response remain largely undetermined. Although several studies have evaluated PD‐L1 expression in NSCLC, the clinicopathologic characteristics and molecular features associated with a PD‐L1 TPS ≥ 50% remain controversial. Herein, we evaluated PD‐L1 expression by IHC in 241 surgically resected NSCLC specimens and examined correlations between PD‐L1 expression and smoking history and oncogenic driver mutations. Our data revealed that 14.5% of NSCLC patients had a PD‐L1 TPS ≥ 50%, as measured via SP263 assay. A PD‐L1 TPS of ≥ 50% was significantly higher in smokers and EGFR wild‐type patients. Univariate and multivariate survival analysis revealed that patients with a PD‐L1 TPS ≥ 50% had poorer DFS and OS than those with a PD‐L1 TPS < 50%. Carcinogens in tobacco are known to be responsible for direct DNA damage and mutagenesis in NSCLC.17 Smoking‐related lung cancers are characterized by a greater mutation burden than lung cancers occurring in never smokers.18, 19 Tumors with a greater number of somatic mutations generate more immunogenic neoantigens, which can drive immune responses, and the levels of neoantigens may correlate with the degree of immune response.20, 21 Studies based on The Cancer Genome Atlas project showed that NSCLC patients with a larger number of somatic mutations are more sensitive to immunotherapy with PD‐1/PD‐L1 inhibitors.22 Moreover, patients with high PD‐L1 expression show greater sensitivity to anti‐PD‐1/PD‐L1 inhibitors.3, 5 Therefore, tumors with excessive somatic mutation burdens tend to be associated with high PD‐L1 expression. Consistent with this data, our results revealed that smokers more frequently had a PD‐L1 TPS ≥ 50% compared to non‐smokers. In addition, persistent exposure to smoking increases the risk of chronic inflammation, which plays a vital role in the regulation of PD‐L1 expression by the interferon‐γ (IFN‐γ) driven inflammatory signaling pathway.23 IFN‐γ is a proinflammatory cytokine that is abundantly produced by T cells upon activation; binding of IFN‐γ to its receptor on tumor cells results in activation of the classic JAK‐STAT signaling pathway, inducing increased PD‐L1 expression.24 Furthermore, we performed a detailed analysis of the association between smoking variables and a PD‐L1 TPS ≥ 50%. Our data showed that tumors with a PD‐L1 TPS of ≥ 50% were more common in patients with a total smoking duration > 20 years than in those who smoked an average of > 20 cigarettes per day or cumulative pack‐years > 20. Our results suggest that total smoking duration is more predictive of a PD‐L1 TPS ≥ 50% than the average number of cigarettes smoked per day or cumulative pack‐years. PD‐L1 expression was recently found to be elevated in NSCLC patients harboring EGFR mutations.12, 25 Several in vitro studies have shown that EGFR mutation induces PD‐L1 expression via downstream pathways mediated by MEKERK, PI3K‐AKT, or STAT3 signaling pathways.26 However, in the present study, a PD‐L1 TPS of ≥ 50% was more frequently observed in patients with negative driver oncogenic alterations in EGFR, while most patients harboring EGFR mutations had a PD‐L1 TPS of < 50%. In patients with a PD‐L1 TPS ≥ 50%, subgroup analyses revealed that the majority of patients with wild‐type EGFR were smokers (24/30, 80%). Existing evidence shows that EGFR mutations are common in non‐smokers, who are likely to have low mutation burdens and inactive inflammatory signaling. Consequently, high mutation burdens and activation of the inflammatory signaling pathway as a result of smoking tend to have a greater influence on PD‐L1 expression compared to activation of the downstream signaling pathway induced by EGFR mutation. Thus, smokers are more likely to have high PD‐L1 expression than non‐smokers with EGFR mutation. Recent studies have evaluated the prognostic effect of PD‐L1 expression in NSCLC.27, 28, 29 However, the prognostic relevance of PD‐L1 expression in NSCLC remains controversial. In our study, univariate and multivariate survival analysis showed that patients with a PD‐L1 TPS ≥ 50% showed significantly poorer DFS and OS compared to those with a PD‐L1 TPS < 50%. Immune evasion induced by the PD‐1/PD‐L1 pathway plays a significant role in NSCLC. Cancer cells can evade host immune systems by expressing PD‐L1 to downregulate cytotoxic T lymphocytes through inhibitory pathways, which are usually initiated by PD‐1/PD‐L1 interaction. Cancer cells then become uncontrollable in the host immune system, allowing cancer cells to survive and progress.30 Additionally, our data indicated that patients with EGFR mutation were significantly associated with better OS, possibly because these patients have the opportunity to receive EGFR‐tyrosine kinase inhibitors (TKIs). Ota et al. demonstrated that EGFR‐TKIs downregulate PD‐L1 expression in EGFR‐mutant NSCLC cells but not in those with wild‐type EGFR,31 which indicates that TKIs could not only could induce apoptosis of tumor cells, but also inhibit immune evasion of tumor cells by downregulating PD‐L1 expression. The benefit of TKIs for EGFR mutant patients may be partly attributed to the inhibition of tumor cell immune evasion by downregulating the expression of PD‐L1. There were several limitations to our study. First, it was retrospective and from a single institution; thus, the possibility of bias cannot be excluded. Second, PD‐L1 expression in tumor cells was only evaluated with an SP263 antibody. A large prospective study of clinicopathological characteristics, molecular features, and prognosis of tumors with evaluated PD‐L1 expression with various antibodies is needed to validate this exploratory result. In conclusion, our results demonstrate that a PD‐L1 TPS of ≥ 50% is associated with poor DFS and OS in NSCLC patients. Furthermore, current smokers without EGFR mutations, particularly long‐term smokers, were associated with a PD‐L1 TPS ≥ 50%, which indicates that these NSCLC patients may benefit from immunotherapy.

Disclosure

No authors report any conflict of interest. Table S1. Patient characteristics and PD‐L1 expression status. Table S2. Multivariate analysis of the relationship between a PD‐L1 tumor proportion score (TPS) of ≥ 50% and patient characteristics. Table S3. Associations between cigarette smoking and PD‐L1 expression. Click here for additional data file.
  31 in total

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Journal:  J Thorac Oncol       Date:  2016-04-18       Impact factor: 15.609

2.  Activation of the PD-1 pathway contributes to immune escape in EGFR-driven lung tumors.

Authors:  Esra A Akbay; Shohei Koyama; Julian Carretero; Abigail Altabef; Jeremy H Tchaicha; Camilla L Christensen; Oliver R Mikse; Andrew D Cherniack; Ellen M Beauchamp; Trevor J Pugh; Matthew D Wilkerson; Peter E Fecci; Mohit Butaney; Jacob B Reibel; Margaret Soucheray; Travis J Cohoon; Pasi A Janne; Matthew Meyerson; D Neil Hayes; Geoffrey I Shapiro; Takeshi Shimamura; Lynette M Sholl; Scott J Rodig; Gordon J Freeman; Peter S Hammerman; Glenn Dranoff; Kwok-Kin Wong
Journal:  Cancer Discov       Date:  2013-09-27       Impact factor: 39.397

3.  Nivolumab versus Docetaxel in Advanced Squamous-Cell Non-Small-Cell Lung Cancer.

Authors:  Julie Brahmer; Karen L Reckamp; Paul Baas; Lucio Crinò; Wilfried E E Eberhardt; Elena Poddubskaya; Scott Antonia; Adam Pluzanski; Everett E Vokes; Esther Holgado; David Waterhouse; Neal Ready; Justin Gainor; Osvaldo Arén Frontera; Libor Havel; Martin Steins; Marina C Garassino; Joachim G Aerts; Manuel Domine; Luis Paz-Ares; Martin Reck; Christine Baudelet; Christopher T Harbison; Brian Lestini; David R Spigel
Journal:  N Engl J Med       Date:  2015-05-31       Impact factor: 91.245

4.  Colocalization of inflammatory response with B7-h1 expression in human melanocytic lesions supports an adaptive resistance mechanism of immune escape.

Authors:  Janis M Taube; Robert A Anders; Geoffrey D Young; Haiying Xu; Rajni Sharma; Tracee L McMiller; Shuming Chen; Alison P Klein; Drew M Pardoll; Suzanne L Topalian; Lieping Chen
Journal:  Sci Transl Med       Date:  2012-03-28       Impact factor: 17.956

5.  Induction of PD-L1 Expression by the EML4-ALK Oncoprotein and Downstream Signaling Pathways in Non-Small Cell Lung Cancer.

Authors:  Keiichi Ota; Koichi Azuma; Akihiko Kawahara; Satoshi Hattori; Eiji Iwama; Junko Tanizaki; Taishi Harada; Koichiro Matsumoto; Koichi Takayama; Shinzo Takamori; Masayoshi Kage; Tomoaki Hoshino; Yoichi Nakanishi; Isamu Okamoto
Journal:  Clin Cancer Res       Date:  2015-05-27       Impact factor: 12.531

6.  Combinational Analysis of FISH and Immunohistochemistry Reveals Rare Genomic Events in ALK Fusion Patterns in NSCLC that Responds to Crizotinib Treatment.

Authors:  Wenbin Li; Jing Zhang; Lei Guo; Shannon Chuai; Ling Shan; Jianming Ying
Journal:  J Thorac Oncol       Date:  2016-09-08       Impact factor: 15.609

7.  Genomic landscape of non-small cell lung cancer in smokers and never-smokers.

Authors:  Ramaswamy Govindan; Li Ding; Malachi Griffith; Janakiraman Subramanian; Nathan D Dees; Krishna L Kanchi; Christopher A Maher; Robert Fulton; Lucinda Fulton; John Wallis; Ken Chen; Jason Walker; Sandra McDonald; Ron Bose; David Ornitz; Donghai Xiong; Ming You; David J Dooling; Mark Watson; Elaine R Mardis; Richard K Wilson
Journal:  Cell       Date:  2012-09-14       Impact factor: 41.582

Review 8.  The prognostic role of programmed cell death-ligand 1 expression in non-small cell lung cancer patients: An updated meta-analysis.

Authors:  Guangzhi Ma; Yunfu Deng; Hai Jiang; Wen Li; Qiang Wu; Qinghua Zhou
Journal:  Clin Chim Acta       Date:  2018-03-31       Impact factor: 3.786

Review 9.  Neoantigens in cancer immunotherapy.

Authors:  Ton N Schumacher; Robert D Schreiber
Journal:  Science       Date:  2015-04-03       Impact factor: 47.728

10.  PD-1 and PD-L1 expression in molecularly selected non-small-cell lung cancer patients.

Authors:  A D'Incecco; M Andreozzi; V Ludovini; E Rossi; A Capodanno; L Landi; C Tibaldi; G Minuti; J Salvini; E Coppi; A Chella; G Fontanini; M E Filice; L Tornillo; R M Incensati; S Sani; L Crinò; L Terracciano; F Cappuzzo
Journal:  Br J Cancer       Date:  2014-10-28       Impact factor: 7.640

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  1 in total

1.  PD-L1 as a prognostic biomarker in surgically resectable non-small cell lung cancer: a meta-analysis.

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