Literature DB >> 32620629

Identification of Biomarkers for Non-small-cell Lung Cancer Patients Treated With an Immune Checkpoint Inhibitor.

Sousuke Kubo1, Nobuaki Kobayashi2, Kohei Somekawa3, Momo Hirata3, Chisato Kamimaki1, Hiroko Aiko4, Seigo Katakura1, Shuhei Teranishi1, Keisuke Watanabe1, Y U Hara1, Masaki Yamamoto3, Makoto Kudo3, Takeshi Kaneko1.   

Abstract

BACKGROUND/AIM: Immune checkpoint inhibitors (ICIs) have an important role in lung cancer therapy. Although the programmed cell death protein-1 (PD-L1) tumor proportion score (TPS) and tumor mutational burden are known prognostic factors, they are insufficient to predict clinical outcomes. This study was conducted to identify novel biomarkers for ICI treatment. PATIENTS AND METHODS: We performed univariable and multivariable analyses of 110 patients with advanced non-small-cell lung cancer (NSCLC) who were treated with an ICI to identify novel biomarkers related to prognosis. We assessed their backgrounds, such as performance status (PS), PD-L1 TPS, smoking status, and peripheral white blood cell counts at baseline and on the day the second course of ICI administration.
RESULTS: In the multivariable analysis, PS, driver gene, immune-related adverse events, and post-treatment absolute neutrophil counts (post-ANCs) were significantly associated with progression-free survival.
CONCLUSION: A high level of post-ANCs was associated with poor outcome in ICI-treated NSCLC patients. Copyright
© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  Immune checkpoint inhibitor; neutrophil counts; non–small-cell lung carcinoma; predictive factor; tumor-associated neutrophils

Year:  2020        PMID: 32620629     DOI: 10.21873/anticanres.14379

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  3 in total

1.  Absolute Increase in the Number and Proportion of Peripheral Eosinophils Associated With Immune Checkpoint Inhibitor Treatment in Non-small Cell Lung Cancer Patients.

Authors:  Hajime Osawa; Toshihiro Shiozawa; Shinichiro Okauchi; Yuika Sasatani; Gen Ohara; Shinya Sato; Kunihiko Miyazaki; Takahide Kodama; Katsunori Kagohashi; Hiroaki Satoh; Nobuyuki Hizawa
Journal:  Cancer Diagn Progn       Date:  2021-11-03

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

3.  Development and Validation of an E2F-Related Gene Signature to Predict Prognosis of Patients With Lung Squamous Cell Carcinoma.

Authors:  Cailian Wang; Xuyu Gu; Xiuxiu Zhang; Min Zhou; Yan Chen
Journal:  Front Oncol       Date:  2021-10-22       Impact factor: 6.244

  3 in total

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