Literature DB >> 28915714

The efficacy of anti-PD-1/PD-L1 therapy and its comparison with EGFR-TKIs for advanced non-small-cell lung cancer.

Zhixin Sheng1, Xu Zhu1, Yanhua Sun1, Yanxia Zhang2.   

Abstract

PURPOSE: To better understand the efficacy and safety of anti-PD-1/PD-L1 therapy (atezolizumab, pembrolizumab, nivolumab) in patients with previously treated advanced non-small-cell lung cancer (NSCLC).
METHODS: The Cochrane Controlled Trial Register, Embase, Medline, and the Science Citation Index were searched for prospective published reports of atezolizumab, pembrolizumab, nivolumab in previously treated patients with advanced NSCLC.
RESULTS: Finally, we identified 14 prospective published reports including four trials of atezolizumab covering 542 subjects, three trials of pembrolizumab covering 1566 subjects, seven trials of nivolumab covering 1678 subjects. When compared to docetaxel, anti-PD-1/PD-L1 therapy could significantly improve overall survival (hazard ratio [HR] 0.67, P<0.001) and progression-free survival (HR 0.83, P=0.002) for previously treated patients with advanced NSCLC. Anti-PD-1/PD-L1 therapy produced an overall response rate of 19% in the 2374 evaluable patients. When using docetaxel as the common comparator, indirect comparison of anti-PD-1/PD-L1 therapy versus EGFR-TKIs showed progression-free survival benefit (HR 0.62, P<0.001) and overall survival benefit (HR 0.60, P<0.001) for those patients with EGFR wild-type. Meanwhile, for those EGFR mutant patients, indirect comparison indicated that anti-PD-1/PD-L1 therapy was inferior to EGFR-TKIs therapy in terms of progression-free survival (HR 3.20, P<0.001), but no survival difference (HR 1.30, P=0.18).
CONCLUSION: Anti-PD-1/PD-L1 therapy could produce progression-free survival and overall survival improvement over docetaxel for patients with previously treated NSCLC. For EGFR wild-type patients, anti-PD-1/PD-L1 therapy seemed to prolong progression-free survival and overall survival when compared to EGFR-TKIs. Meanwhile, for these EGFR mutant patients, anti-PD-1/PD-L1 therapy was inferior to EGFR-TKIs therapy in terms of progression-free survival.

Entities:  

Keywords:  NSCLC; anti-PD-1/PD-L1 therapy; atezolizumab; nivolumab; pembrolizumab

Year:  2017        PMID: 28915714      PMCID: PMC5593686          DOI: 10.18632/oncotarget.18406

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

The interaction of programmed death 1 (PD-1) with the non-small-cell lung cancer (NSCLC) expressed ligands programmed death-ligand 1 (PD-L1) and PD-L2 could downregulate T cell activity and promote tumor immune escape [1-4]. Recently, anti-PD-1/PD-L1 therapy (atezolizumab, pembrolizumab, nivolumab) which could disrupt PD-1/PD-L1-mediated signaling and restore antitumor immunity had been reported to be a good treatment option for advanced NSCLC [5-18]. However, whether anti-PD-1/PD-L1 therapy could provide progression free survival (PFS) improvement still remained undefined for previously treated patients with advanced NSCLC. PFS improvement was only shown in two of the four trials [5-8]. With these results variable, the meta-analysis tried to evaluate the activity and safety of anti-PD-1/PD-L1 therapy in previously treated advanced NSCLC. The primary endpoints were PFS, overall survival (OS), overall response rate (ORR) derived from anti-PD-1/PD-L1 therapy. Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) such as gefitinib and erlotinib have been used as suggested for heavily pretreated molecularly selected patients with NSCLC [19-22]. Both anti-PD-1/PD-L1 therapy and EGFR-TKIs are considered as vital breakthroughs in the management of advanced NSCLC and are credited for changing this once dismal history of previously treated advanced NSCLC. However, direct head-to-head comparison between EGFR-TKIs and anti-PD-1/PD-L1 therapy is lacking. When a direct comparison is not available, another way to assess the relative activity of competing regimens is to undertake an indirect comparison. Thus, we applied an adjusted indirect comparison analysis to evaluate the relative activity of anti-PD-1/PD-L1 therapy versus EGFR-TKIs for previously treated patients with advanced NSCLC using common comparator.

RESULTS

Characteristics of the published reports

Finally, we identified 14 prospective published reports including four trials of atezolizumab covering 542 subjects, three trials of pembrolizumab covering 1566 subjects, seven trials of nivolumab covering 1678 subjects. And, four trials of EGFR-TKIs covering 2475 subjects were also included for indirect comparison [5-22]. All RCTs reported intention-to-treat analyses, description of dropouts, and generation of allocation sequence, however none of them was blind [5–8, 19–22]. Study flow diagram was indicated in Figure 1. Table 1 summarized the characteristics of 18 identified clinical reports.
Figure 1

Study flow diagram

Table 1

Main characteristics of the studies included in the meta-analysis

Study name (year)NnTherapy regimenAge medianSmoker/non-smokerTrial type
EGFREGFR+
Anti-PD-1/PD-L1 therapy Trials
Fehrenbacher 2016 [5]287--Ate 1200mg, q3w62117/27RCT
Doc 75mg/m2, q3w62114/29
Herbst 2016 [6]103387586Pem 2mg/kg or 10mg/kg, q3w63564/123RCT
Doc 75mg/m2, q3w62269/67
Borghaei 2015 [7]58234082Niv 3 mg/kg, q2w61231/58RCT
Doc 75mg/m2, q3w64227/60
Brahmer 2015 [8]272--Niv 3 mg/kg, q2w62121/10RCT
Doc 75mg/m2, q3w64129/7
Herbst 2014 [9]53--Ate 0.3, 1, 3, 10 and 20mg/kg, q3w;10, 15 or 20 mg/kg, q3w6068/17Single-arm
Spigel 2015 [10]114--Ate 1200mg, q3w--Single-arm
Horn 2015 [11]88--Ate 20 mg/kg q3w--Single-arm
Garon 2015 [12]495--Pem 2mg/kg or 10mg/kg, q3w;10mg/kg, q2w64369/126Single-arm
Gandhi 2014 [13]38--Pem 10mg/kg, q3w--Single-arm
Gettinger 2015 [14]129--Niv 1-, 3-, or 10-mg/kg, q2w65-Single-arm
Rizvi 2015 [15]117--Niv 3mg/k, q2w65108/9Single-arm
Brahmer 2012 [16]49--Niv 0.3, 1, 3, and 10 mg/kg, q2w65-Single-arm
Topalian 2012 [17]122--Niv 1, 3, and 10 mg/kg, q2w65-Single-arm
Gettinger 2014 [18]20--Niv 3mg/k, q2w--Single-arm
EGFR-TKIs Trials
Maruyama 2008 [19]4892631Gef 250 mg/d-174/71RCT
Docl 60mg/m2, q3w-157/87
Douillard 2010 [20]146625344Gef 250 mg/d61585/148RCT
Doc 75mg/m2, q3w60583/150
Garassino 2013 [21]2192190Erl 150 mg/d6690/19RCT
Doc 75mg/m2, q3w6780/30
Kawaguchi 2014 [22]30119956Erl 150 mg/d68111/39RCT
Doc 60mg/m2, q3w67114/37

EGFR+: presence of epidermal growth factor receptor mutation; EGFR−: absence of epidermal growth factor receptor mutation; Ate: atezolizumab; Pem: pembrolizumab; Doc: docetaxel; Gef: gefitinib; Erl: erlotinib; -: not available; N: the total number of patients; n: the number of patients with known EGFR status; RCT: randomised controlled trials.

EGFR+: presence of epidermal growth factor receptor mutation; EGFR−: absence of epidermal growth factor receptor mutation; Ate: atezolizumab; Pem: pembrolizumab; Doc: docetaxel; Gef: gefitinib; Erl: erlotinib; -: not available; N: the total number of patients; n: the number of patients with known EGFR status; RCT: randomised controlled trials.

Comparison of anti-PD-1/PD-L1 therapy vs. docetaxel

In the total population, the pooled analysis indicated that anti-PD-1/PD-L1 therapy consistently reduced the risk of death by 33% over docetaxel (hazard ratio [HR] 0.67, P<0.001), and prolonged the PFS by 17%(HR 0.83, P<0.001) (Figure 2). The values for heterogeneity tests across these trials were I2=0%, P=1.00 for OS analysis; I2=44%, P=0.13 for PFS analysis. The HRs in this analysis of OS favored anti-PD-1/PD-L1 therapy across most prespecified subpopulation; the exceptions were the subpopulation who lived in the rest-of-the-world geographic region, those with age more than 75 years, those with central nervous system metastases, those who had never smoked, and those with EGFR mutation(Figure 3). And, similar results was shown in PFS analysis(Figure 3). And, anti-PD-1/PD-L1 therapy resulted in an impressive ORR of 19%(Figure 2). No significant publication bias was found in the ORR analysis (P= 0.582). The value for heterogeneity test across these trials was I2=97%, P<0.001 for ORR analysis.
Figure 2

Meta-analysis of the treatment effects of anti-PD-1/PD-L1 therapy in patients with advanced non-small cell lung cancer

(1.1) anti-PD-1/PD-L1 therapy vs. Docetaxel in progression free survival (PFS) and overall survival (OS);(1.2) overall response rate (ORR) from anti-PD-1/PD-L1 therapy. CI: 95 % confidence interval; Random: random-effects model.

Figure 3

Subgroup Meta-analysis of progression free survival (PFS) and overall survival (OS)

(2.1) anti-PD-1/PD-L1 therapy vs. Docetaxel in PFS; (2.2) anti-PD-1/PD-L1 therapy vs. Docetaxel in OS. ECOG: Eastern Cooperative Oncology Group performance status; CI: 95 % confidence interval; Random: random-effects model.

Meta-analysis of the treatment effects of anti-PD-1/PD-L1 therapy in patients with advanced non-small cell lung cancer

(1.1) anti-PD-1/PD-L1 therapy vs. Docetaxel in progression free survival (PFS) and overall survival (OS);(1.2) overall response rate (ORR) from anti-PD-1/PD-L1 therapy. CI: 95 % confidence interval; Random: random-effects model.

Subgroup Meta-analysis of progression free survival (PFS) and overall survival (OS)

(2.1) anti-PD-1/PD-L1 therapy vs. Docetaxel in PFS; (2.2) anti-PD-1/PD-L1 therapy vs. Docetaxel in OS. ECOG: Eastern Cooperative Oncology Group performance status; CI: 95 % confidence interval; Random: random-effects model. Subgroup analyses by the tumor PD-L1 expression level indicated that anti-PD-1/PD-L1 therapy could significantly prolong both PFS and OS in patients of high PD-L1 expressions, but not in those with low expressions, regardless of PD-L1 expression level of 1%, 5%, and 10% (Figure 4). Furthermore, this analysis declared statistically significant difference between PD-L1 expression level of≥5% and <5% (P=0.0008), between PD-L1 expression level of≥10% and <10%(P=0.005) in OS analysis. And, PFS analysis indicated a marginal difference between PD-L1 expression level of≥5% and <5% (P=0.05).
Figure 4

Meta-analysis of progression free survival (PFS) and overall survival (OS) by PD-L1 Expression Level

(3.1) anti-PD-1/PD-L1 therapy vs. Docetaxel in PFS; (3.2) anti-PD-1/PD-L1 therapy vs. Docetaxel in OS. CI: 95 % confidence interval; Random: random-effects model.

Meta-analysis of progression free survival (PFS) and overall survival (OS) by PD-L1 Expression Level

(3.1) anti-PD-1/PD-L1 therapy vs. Docetaxel in PFS; (3.2) anti-PD-1/PD-L1 therapy vs. Docetaxel in OS. CI: 95 % confidence interval; Random: random-effects model. Generally, the rates of adverse events (AEs) of anti-PD-1/PD-L1 therapy seemed to be lower than that of docetaxel (Figure 5).
Figure 5

Meta-analysis of adverse events (AEs) of anti-PD-1/PD-L1 therapy vs. Docetaxel in previously treated patients with advanced non-small cell lung cancer

n: the number of included trials for analysis; CI: 95% confidence interval; Random: random-effects model.

Meta-analysis of adverse events (AEs) of anti-PD-1/PD-L1 therapy vs. Docetaxel in previously treated patients with advanced non-small cell lung cancer

n: the number of included trials for analysis; CI: 95% confidence interval; Random: random-effects model.

Indirect comparison of anti-PD-1/PD-L1 therapy vs. EGFR-TKIs via common comparator of docetaxel

When using docetaxel as common comparator, our indirect comparison indicated that anti-PD-1/PD-L1 could reduce the progression of risk by 38% (HR 0.62, P<0.001), and prolonged OS by 40% (HR 0.60, P<0.001) for those EGFR wild-type patients(Figure 6). This finding has special meaning, because a larger number of patients with advanced NSCLC are EGFR wild-type. Meanwhile, for those EGFR mutant patients, indirect comparison indicated that anti-PD-1/PD-L1 therapy was inferior to EGFR-TKIs therapy in terms of PFS (HR 3.20, P<0.001), but no survival difference between them (HR 1.30, P=0.18) (Figure 6).
Figure 6

Indirect meta-analysis of treatment effects (anti-PD-1/PD-L1 therapy vs. EGFR-TKIs via common comparator) in progression free survival (PFS) (4.1.) and overall survival (OS) (4.2.) in previously heavily treated patients with and without EGFR mutation

CI: 95 % confidence interval; Random: random-effects model.

Indirect meta-analysis of treatment effects (anti-PD-1/PD-L1 therapy vs. EGFR-TKIs via common comparator) in progression free survival (PFS) (4.1.) and overall survival (OS) (4.2.) in previously heavily treated patients with and without EGFR mutation

CI: 95 % confidence interval; Random: random-effects model.

DISCUSSION

In this pooled analysis, an impressive ORR of 19% derived from anti-PD-1/PD-L1 therapy compared favorably to the ORRs of 7% to 9% from current second-line therapies for advanced NSCLC [24-26]. Furthermore, anti-PD-1/PD-L1 therapy clearly benefited patients over docetaxel concerning PFS and OS. These data contribute to the increasing evidence that supports PD-1 pathway inhibition in advanced NSCLC. Anti-PD-1/PD-L1 therapy related with fewer treatment-related adverse events than was docetaxel. Unlike chemotherapy, immune checkpoint inhibitors by blocking the PD-1 inhibitory receptor tried to restore antitumor immunity. So anti-PD-1/PD-L1 therapy added to chemotherapy might be a good option for such patients. Ongoing trials are assessing anti-PD-1/PD-L1 therapy as adjuvant therapy (PEARLS, ClinicalTrials.gov numberNCT02504372). These trials were enrolling patients using different biomarker cutpoints, and which cutpoint could best predict the activity of anti-PD-1/PD-L1 therapy still remains undefined. Furthermore, this analysis indicated statistically significant difference between PD-L1 expression level of≥5% and <5% (P=0.0008), between PD-L1 expression level of≥10% and <10% (P=0.005) in OS analysis. And, a marginal difference between PD-L1 expression level of≥5% and <5% (P=0.05) was shown in PFS analysis. Analysis by smoking history indicated favorable PFS and OS outcomes in former and current smokers, which could be explained by the expected higher mutational load in smoking-associated lung cancer. And there were separate anti-PD-1/PD-L1 therapy studies for squamous and non-squamous, this analysis indicated that anti-PD-1/PD-L1 therapy could provide similar benefit for squamous and non-squamous NSCLC. Whether the benefit of anti-PD-1/PD-L1 therapy extends to patients with a tumour proportion score of less than 1% needs to be defined in future trials. KEYNOTE-024 trial [25] had indicated anti-PD-1/PD-L1 therapy used as first-line therapy could improve treatment outcome than chemotherapy. Another ongoing study is also assessing anti-PD-1/PD-L1 therapy as first-line therapy (KEYNOTE-042, ClinicalTrials.gov number NCT02220894). This study is enrolling patients using distinct biomarker cutpoints, and the final analyses could provide help to determine which cutpoint best predicts activity of anti-PD-1/PD-L1 therapy monotherapy in these earlier lines of therapy. For those patients for whom anti-PD-1/PD-L1 therapy monotherapy is not as effective as cytotoxic chemotherapy, in combination with chemotherapy [26] or other immunotherapies [27] might be needed. Additional studies will also be needed to define the optimal duration of anti-PD-1/PD-L1 therapy. Responses with anti-PD-1/PD-L1 therapy were seen in patients with EGFR- and KRAS-wildtype and EGFR- and KRAS-mutant NSCLC; however, low numbers of enrolled patients in these trials precluded relationship of mutation status with clinical outcomes after anti-PD-1/PD-L1 therapy. Futhermore, the introduction of anti-PD-1/PD-L1 therapy and EGFR-TKIs for heavily pretreated patients with NSCLC had also created a dilemma regarding whether anti-PD-1/PD-L1 agent was better than EGFR-TKIs, or vice versa. Using the common comparator of docetaxel, our indirect comparison indicated that PFS and OS with anti-PD-1/PD-L1 were superior to that with EGFR-TKIs. Meanwhile, for those EGFR mutant patients, anti-PD-1/PD-L1 therapy was inferior to EGFR-TKIs therapy in terms of PFS. However, these findings should be viewed with caution: First caveat is that of relatively insufficient evidence because of the limitation of indirect comparison [23]. So, a direct head-to-head trial comparing anti-PD-1/PD-L1 therapy versus EGFR-TKIs is clearly warranted in future. Secondly, we used abstracted data, whereas an individual patient data-based analysis would provide a more precise estimate of the activity and safety of anti-PD-1/PD-L1 therapy versus EGFR-TKIs. Thirdly, these studies were relatively heterogeneous with respect to patient population, disease status, and study design. For our primary outcomes analysis, the heterogeneity among selected studies were were low and non-significant for PFS (P=0.13, I2=44%) and OS (P=0.63, I2=0%) analysis, high and significant for ORR (P<0.001, I2=97%) analysis (Figure 2). Given this high and significant difference among these included trials for ORR analysis, the pooled ORR could be questioned. In summary, anti-PD-1/PD-L1 therapy could produce clinical benefit over docetaxel for patients with previously treated NSCLC. For these EGFR wild-type patients, anti-PD-1/PD-L1 therapy seemed to prolong PFS and OS when compared with EGFR-TKIs. Meanwhile, among those EGFR mutant patients, anti-PD-1/PD-L1 therapy was inferior to EGFR-TKIs therapy in terms of PFS.

MATERIALS AND METHODS

Literature search strategy

The Cochrane Controlled Trial Register, Embase, Medline, and the Science Citation Index were searched using the medical subject headings “lung cancer”, Atezolizumab”, “Pembrolizumab”, “Nivolumab”, “Gefitinib” and “Erlotinib”. Reference lists of selected reports were also hand-searched. This pooled analysis was approved by the institutional review boards of Weifang People's Hospital, in accordance with the Helsinki Declaration.

Selection of studies

Trials were included for this analysis if they met the following criteria: (1) They dealt only with previously treated advanced NSCLC patients. (2) They enrolled patients treated with anti-PD-1/PD-L1 therapy or EGFR-TKIs.(3) Acceptable comparator was docetaxel. (4) They could provide data about adverse events rate, response rate, overall survival (OS) and (or) progression free survival (PFS). (5) These studies are prospective. Multiple reports about a single trial were considered as one. All potential trials were reviewed by two investigators separately (Y.X.Z and Z.X.S.).

Quality assessment

Two reviewers (Y.X.Z and Z.X.S.) independently assessed the quality of selected RCTs using the following criteria: (1) generation of allocation sequence, (2) description of dropouts, (3) masking of randomization, intervention, outcome assessment, (4) intention-to-treat analyses. Each criterion was rated as yes, no or unclear.

Outcome measures

The primary objective was to define the Hazard Ratios (HRs) of PFS and OS for anti-PD-1/PD-L1 therapy versus EGFR-TKIs, and calculate ORR from anti-PD-1/PD-L1 therapy. The secondary objectives were to evaluate the Risk Ratio (RRs) of adverse events for anti-PD-1/PD-L1 therapy versus docetaxel.

Statistical analysis

The indirect meta-analysis preserves the randomization within a RCT meanwhile, combines all available comparisons between treatments [23, 24]. These comparisons included both the direct within trial comparisons between two treatment strategies and the indirect comparisons constructed from trials that have one common comparator. When more than one RCT was available for comparison (e.g., anti-PD-1/PD-L1 therapy vs. Docetaxel), we first calculated the pooled estimates using standard meta-analytic techniques for that comparison. Using similar method, we obtained a pooled estimate from RCTs that compared other interventions (e.g., EGFR-TKIs vs. Docetaxel). Because both comparisons used docetacel as control, the summary estimates obtained from the respective meta-analysis (anti-PD-1/PD-L1 therapy vs. Docetaxel and EGFR-TKIs vs. Docetaxel) can be used to provide estimates of the HR for the indirect comparison of anti-PD-1/PD-L1 therapy vs. EGFR-TKIs. The adjusted indirect comparisons were performed using the method described by Bucher et al [24]. According to this, an indirect comparison of interventions anti-PD-1/PD-L1 therapy vs. EGFR-TKIs can be obtained by adjusting the results of their direct comparisons with a common intervention of docetacel. If we assume that anti-PD-1/PD-L1 therapyMA is the estimate of direct comparison between intervention anti-PD-1/PD-L1 therapy vs. docetacel and EGFR-TKIsMA is the direct comparison of intervention EGFR-TKIs vs. docetacel, then the estimate of the adjusted indirect comparison of intervention EGFR-TKIs vs. docetacel (such as log HR) is estimated by anti-PD-1/PD-L1 therapyMA-EGFR-TKIsMA [23, 24]. Because the estimates are obtained from different studies, the results are statistically independent and its variance can be obtained by Var (log (anti-PD-1/PD-L1 therapyMA) + Var (log (EGFR-TKIsMA) [23, 24]. All these analyses were undertaken using a random-effects model which could provided a more conservative result. The heterogeneity among these trials was evaluated using Cochrane χ2 test and quantified with the I2 statistic. Statistical heterogeneity was considered significant when the test produced a P-value <0.1. The I2 statistic was calculated as a measure of the degree of heterogeneity among selected studies, where I2 values of 25%, 50% and 75% were considered low, moderate and high degrees of heterogeneity respectively. We also undertook subgroup analyses to sought the source of heterogeneity. Publication bias was evaluated with Egger's test. All meta-analyses were undertaken with Review Manager (version 5.3; The Cochrane Collaboration, Oxford, England) and Stata ver. 12.0 software (College Station, TX). Statistical significance was defined as a P value of less than 0.05 except for heterogeneity test.
  21 in total

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Journal:  J Clin Oncol       Date:  2014-05-19       Impact factor: 44.544

2.  Indirect comparisons of competing interventions.

Authors:  A M Glenny; D G Altman; F Song; C Sakarovitch; J J Deeks; R D'Amico; M Bradburn; A J Eastwood
Journal:  Health Technol Assess       Date:  2005-07       Impact factor: 4.014

3.  Overall Survival and Long-Term Safety of Nivolumab (Anti-Programmed Death 1 Antibody, BMS-936558, ONO-4538) in Patients With Previously Treated Advanced Non-Small-Cell Lung Cancer.

Authors:  Scott N Gettinger; Leora Horn; Leena Gandhi; David R Spigel; Scott J Antonia; Naiyer A Rizvi; John D Powderly; Rebecca S Heist; Richard D Carvajal; David M Jackman; Lecia V Sequist; David C Smith; Philip Leming; David P Carbone; Mary C Pinder-Schenck; Suzanne L Topalian; F Stephen Hodi; Jeffrey A Sosman; Mario Sznol; David F McDermott; Drew M Pardoll; Vindira Sankar; Christoph M Ahlers; Mark Salvati; Jon M Wigginton; Matthew D Hellmann; Georgia D Kollia; Ashok K Gupta; Julie R Brahmer
Journal:  J Clin Oncol       Date:  2015-04-20       Impact factor: 44.544

4.  Erlotinib versus docetaxel as second-line treatment of patients with advanced non-small-cell lung cancer and wild-type EGFR tumours (TAILOR): a randomised controlled trial.

Authors:  Marina Chiara Garassino; Olga Martelli; Massimo Broggini; Gabriella Farina; Silvio Veronese; Eliana Rulli; Filippo Bianchi; Anna Bettini; Flavia Longo; Luca Moscetti; Maurizio Tomirotti; Mirko Marabese; Monica Ganzinelli; Calogero Lauricella; Roberto Labianca; Irene Floriani; Giuseppe Giaccone; Valter Torri; Alberto Scanni; Silvia Marsoni
Journal:  Lancet Oncol       Date:  2013-07-22       Impact factor: 41.316

5.  Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients.

Authors:  Roy S Herbst; Jean-Charles Soria; Marcin Kowanetz; Gregg D Fine; Omid Hamid; Michael S Gordon; Jeffery A Sosman; David F McDermott; John D Powderly; Scott N Gettinger; Holbrook E K Kohrt; Leora Horn; Donald P Lawrence; Sandra Rost; Maya Leabman; Yuanyuan Xiao; Ahmad Mokatrin; Hartmut Koeppen; Priti S Hegde; Ira Mellman; Daniel S Chen; F Stephen Hodi
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

6.  Phase I study of single-agent anti-programmed death-1 (MDX-1106) in refractory solid tumors: safety, clinical activity, pharmacodynamics, and immunologic correlates.

Authors:  Julie R Brahmer; Charles G Drake; Ira Wollner; John D Powderly; Joel Picus; William H Sharfman; Elizabeth Stankevich; Alice Pons; Theresa M Salay; Tracee L McMiller; Marta M Gilson; Changyu Wang; Mark Selby; Janis M Taube; Robert Anders; Lieping Chen; Alan J Korman; Drew M Pardoll; Israel Lowy; Suzanne L Topalian
Journal:  J Clin Oncol       Date:  2010-06-01       Impact factor: 44.544

7.  Safety, activity, and immune correlates of anti-PD-1 antibody in cancer.

Authors:  Suzanne L Topalian; F Stephen Hodi; Julie R Brahmer; Scott N Gettinger; David C Smith; David F McDermott; John D Powderly; Richard D Carvajal; Jeffrey A Sosman; Michael B Atkins; Philip D Leming; David R Spigel; Scott J Antonia; Leora Horn; Charles G Drake; Drew M Pardoll; Lieping Chen; William H Sharfman; Robert A Anders; Janis M Taube; Tracee L McMiller; Haiying Xu; Alan J Korman; Maria Jure-Kunkel; Shruti Agrawal; Daniel McDonald; Georgia D Kollia; Ashok Gupta; Jon M Wigginton; Mario Sznol
Journal:  N Engl J Med       Date:  2012-06-02       Impact factor: 91.245

8.  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

9.  Phase III study, V-15-32, of gefitinib versus docetaxel in previously treated Japanese patients with non-small-cell lung cancer.

Authors:  Riichiroh Maruyama; Yutaka Nishiwaki; Tomohide Tamura; Nobuyuki Yamamoto; Masahiro Tsuboi; Kazuhiko Nakagawa; Tetsu Shinkai; Shunichi Negoro; Fumio Imamura; Kenji Eguchi; Koji Takeda; Akira Inoue; Keisuke Tomii; Masao Harada; Noriyuki Masuda; Haiyi Jiang; Yohji Itoh; Yukito Ichinose; Nagahiro Saijo; Masahiro Fukuoka
Journal:  J Clin Oncol       Date:  2008-09-10       Impact factor: 44.544

10.  Clinical significance of programmed death-1 ligand-1 expression in patients with non-small cell lung cancer: a 5-year-follow-up study.

Authors:  Yan-bin Chen; Chuan-Yong Mu; Jian-An Huang
Journal:  Tumori       Date:  2012-11
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  17 in total

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Authors:  Shuai Wang; Jiatao Hao; Hao Wang; Yong Fang; Lijie Tan
Journal:  Oncoimmunology       Date:  2018-04-24       Impact factor: 8.110

2.  Gram-negative bacteria facilitate tumor progression through TLR4/IL-33 pathway in patients with non-small-cell lung cancer.

Authors:  Mengyao Sun; Yang Bai; Song Zhao; Xiyu Liu; Yongsheng Gao; Lei Wang; Bin Liu; Dashi Ma; Chunye Ma
Journal:  Oncotarget       Date:  2018-01-04

3.  Immunotherapy "Shock" with vitiligo due to nivolumab administration as third line therapy in lung adenocarcinoma.

Authors:  Paul Zarogoulidis; Haidong Huang; Theodora Tsiouda; Chrysa Sardeli; Georgia Trakada; Lemonia Veletza; Anastasios Kallianos; Christoforos Kosmidis; Aggeliki Rapti; Liana Papaemmanouil; Dimitrios Hatzibougias; Dimitrios Drougas; Chong Bai; Wolfgang Hohenforst-Schmidt
Journal:  Respir Med Case Rep       Date:  2017-10-26

Review 4.  Anti-PD-1/PD-L1 Therapy for Non-Small-Cell Lung Cancer: Toward Personalized Medicine and Combination Strategies.

Authors:  Hongshu Sui; Ningxia Ma; Ying Wang; Hui Li; Xiaoming Liu; Yanping Su; Jiali Yang
Journal:  J Immunol Res       Date:  2018-08-08       Impact factor: 4.818

Review 5.  Role of Immunotherapy for Oncogene-Driven Non-Small Cell Lung Cancer.

Authors:  Yosuke Miura; Noriaki Sunaga
Journal:  Cancers (Basel)       Date:  2018-07-27       Impact factor: 6.639

Review 6.  Biomarkers for predicting efficacy of PD-1/PD-L1 inhibitors.

Authors:  Ming Yi; Dechao Jiao; Hanxiao Xu; Qian Liu; Weiheng Zhao; Xinwei Han; Kongming Wu
Journal:  Mol Cancer       Date:  2018-08-23       Impact factor: 27.401

7.  Pembrolizumab and salvage chemotherapy in EGFR T790M-positive non-small-cell lung cancer with high PD-L1 expression.

Authors:  Takehiro Tozuka; Masahiro Seike; Yuji Minegishi; Shingo Kitagawa; Tomomi Kato; Natsuki Takano; Kakeru Hisakane; Satoshi Takahashi; Kenichi Kobayashi; Takeru Kashiwada; Teppei Sugano; Susumu Takeuchi; Shinobu Kunugi; Rintaro Noro; Yoshinobu Saito; Kaoru Kubota; Akihiko Gemma
Journal:  Onco Targets Ther       Date:  2018-09-07       Impact factor: 4.147

Review 8.  The influence of the microbiota on immune development, chronic inflammation, and cancer in the context of aging.

Authors:  Taylor N Tibbs; Lacey R Lopez; Janelle C Arthur
Journal:  Microb Cell       Date:  2019-05-13

Review 9.  Importance of immune monitoring approaches and the use of immune checkpoints for the treatment of diffuse intrinsic pontine glioma: From bench to clinic and vice versa (Review).

Authors:  Jorge Augusto Borin Scutti
Journal:  Int J Oncol       Date:  2018-02-23       Impact factor: 5.650

Review 10.  The Roles of CD38 and CD157 in the Solid Tumor Microenvironment and Cancer Immunotherapy.

Authors:  Yu Jun Wo; Adelia Shin Ping Gan; Xinru Lim; Isabel Shu Ying Tay; Sherlly Lim; Jeffrey Chun Tatt Lim; Joe Poh Sheng Yeong
Journal:  Cells       Date:  2019-12-20       Impact factor: 6.600

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