Literature DB >> 29683890

Characteristics and Predictive Value of PD-L1 Status in Real-World Non-Small Cell Lung Cancer Patients.

Jeng-Sen Tseng1,2, Tsung-Ying Yang1,2, Chih-Ying Wu3,4, Wen-Hui Ku5, Kun-Chieh Chen1, Kuo-Hsuan Hsu3,6, Yen-Hsiang Huang1, Kang-Yi Su7,8, Sung-Liang Yu7,8,9,10,11, Gee-Chen Chang1,2,12.   

Abstract

Immunotherapy targeting the programmed cell death-1 (PD-1) and programmed cell death-ligand 1 (PD-L1) pathway has emerged as an effective treatment for lung cancer patients. It is important to evaluate the practicality of PD-L1 testing in real-world practice. A total of 211 non-small cell lung cancer patients were enrolled to detect 5 driver mutations and PD-L1 status (22C3 and SP263 assays) and to evaluate the characteristics of PD-L1 expression and its predictive value of immunotherapy. The PD-L1 positive (≥1%) and strong positive (≥50%) rate by SP263 assay was 27.0% and 12.8%. The concordance rates between 2 PD-L1 assays while using 1%, 10%, 25%, and 50% positive tumor cells as the cutoffs were 76.8%, 81.5%, 90.5%, and 94.3%, respectively. Smokers and patients without known actionable driver mutation were more likely to present strong positive PD-L1 [adjusted hazard ratio, 5.00 (95% confidence interval-CI, 1.60-15.64); P=0.006 and 3.59 (95% CI, 1.25-10.33); P=0.018, respectively]. Higher levels of smoking were associated with higher PD-L1 expressions. None of the EGFR, ALK, HER2, or BRAF-mutant nonsmokers displayed strong positive PD-L1 expression by SP263 assay. Among patients undergoing PD-1 checkpoint inhibitors therapy, high PD-L1 expression by SP263 was associated with a longer progression-free survival [adjusted hazard ratio, 0.15 (95% CI, 0.03-0.71); P=0.017]. In conclusion, our results suggest that PD-L1 status remains an important predictor of immunotherapy efficacy. The concordance between 22C3 and SP263 assays was greater at a higher cutoff level of positivity. Patients without known actionable driver mutation, along with smokers, particularly those having high smoking pack-years, were more likely to have strong PD-L1 expression.

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Year:  2018        PMID: 29683890     DOI: 10.1097/CJI.0000000000000226

Source DB:  PubMed          Journal:  J Immunother        ISSN: 1524-9557            Impact factor:   4.456


  14 in total

1.  Characteristics and immune checkpoint inhibitor effects on non-smoking non-small cell lung cancer with KRAS mutation: A single center cohort (STROBE-compliant).

Authors:  Jia-Jun Wu; Po-Hsin Lee; Zhe-Rong Zheng; Yen-Hsiang Huang; Jeng-Sen Tseng; Kuo-Hsuan Hsu; Tsung-Ying Yang; Sung-Liang Yu; Kun-Chieh Chen; Gee-Chen Chang
Journal:  Medicine (Baltimore)       Date:  2022-06-17       Impact factor: 1.817

Review 2.  The nuclear transportation of PD-L1 and the function in tumor immunity and progression.

Authors:  Liyan Qu; Jiakang Jin; Jianan Lou; Chao Qian; Jinti Lin; Ankai Xu; Bing Liu; Man Zhang; Huimin Tao; Wei Yu
Journal:  Cancer Immunol Immunother       Date:  2022-03-05       Impact factor: 6.630

Review 3.  Targeting ALK Rearrangements in NSCLC: Current State of the Art.

Authors:  Ling Peng; Liping Zhu; Yilan Sun; Justin Stebbing; Giovanni Selvaggi; Yongchang Zhang; Zhentao Yu
Journal:  Front Oncol       Date:  2022-04-06       Impact factor: 5.738

4.  PD-L1 expression with respect to driver mutations in non-small cell lung cancer in an Asian population: a large study of 1370 cases in China.

Authors:  Caichen Li; Jun Liu; Zhanhong Xie; Feng Zhu; Bo Cheng; Hengrui Liang; Jianfu Li; Shan Xiong; Zisheng Chen; Zhichao Liu; Yi Zhao; Limin Ou; Ran Zhong; Wei Wang; Jun Huang; Jinyun Sun; Chunya Zhang; Landong Weng; Jianxing He; Wenhua Liang; Zhenkui Pan
Journal:  Ther Adv Med Oncol       Date:  2020-10-17       Impact factor: 8.168

5.  ALK variants, PD-L1 expression, and their association with outcomes in ALK-positive NSCLC patients.

Authors:  Gee-Chen Chang; Tsung-Ying Yang; Kun-Chieh Chen; Kuo-Hsuan Hsu; Yen-Hsiang Huang; Kang-Yi Su; Sung-Liang Yu; Jeng-Sen Tseng
Journal:  Sci Rep       Date:  2020-12-03       Impact factor: 4.379

6.  PD-L1 Expression in Chinese Patients with Advanced Non-Small Cell Lung Cancer (NSCLC): A Multi-Center Retrospective Observational Study.

Authors:  Xin Yang; Lili Jiang; Yan Jin; Peng Li; Yingyong Hou; Jingping Yun; Chunyan Wu; Wenyong Sun; Xiangshan Fan; Dong Kuang; Weiya Wang; Jinsong Ni; Anhua Mao; Wenmin Tang; Zhenhua Liu; Jiali Wang; Suijun Xiao; Yuan Li; Dongmei Lin
Journal:  J Cancer       Date:  2021-10-28       Impact factor: 4.207

7.  Comparability of PD-L1 immunohistochemistry assays for non-small-cell lung cancer: a systematic review.

Authors:  Bregje M Koomen; Sushil K Badrising; Michel M van den Heuvel; Stefan M Willems
Journal:  Histopathology       Date:  2020-03-24       Impact factor: 5.087

8.  [Research Progress of Immune Checkpoint Inhibitor Therapy for BRAF Mutation 
in Non-small Cell Lung Cancer].

Authors:  Xia Liu; Diansheng Zhong
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2019-09-20

9.  A CT-derived deep neural network predicts for programmed death ligand-1 expression status in advanced lung adenocarcinomas.

Authors:  Ying Zhu; Yang-Li Liu; Yu Feng; Xiao-Yu Yang; Jing Zhang; Dan-Dan Chang; Xi Wu; Xi Tian; Ke-Jing Tang; Can-Mao Xie; Yu-Biao Guo; Shi-Ting Feng; Zun-Fu Ke
Journal:  Ann Transl Med       Date:  2020-08

Review 10.  Deep learning in cancer pathology: a new generation of clinical biomarkers.

Authors:  Amelie Echle; Niklas Timon Rindtorff; Titus Josef Brinker; Tom Luedde; Alexander Thomas Pearson; Jakob Nikolas Kather
Journal:  Br J Cancer       Date:  2020-11-18       Impact factor: 7.640

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