Literature DB >> 27310809

Biomarkers for the Clinical Use of PD-1/PD-L1 Inhibitors in Non-Small-Cell Lung Cancer: A Review.

Adrian G Sacher1, Leena Gandhi2.   

Abstract

IMPORTANCE: The development of programmed cell death 1 (PD-1)/PD-1 ligand 1 (PD-L1) checkpoint inhibitors has changed the landscape of non-small-cell lung cancer (NSCLC) therapy, with 2 approvals from the US Food and Drug Administration of PD-1 inhibitors for second-line therapy. However, the rational use of these agents has been limited by the lack of a definitive predictive biomarker. OBSERVATIONS: Tumor PD-L1 expression is associated with an increased likelihood of NSCLC response to these agents, although responses can still occur at a low rate in PD-L1-negative tumors. The use of PD-L1 as a predictive biomarker for use of PD-1/PD-L1 inhibitors is limited by the multitude of PD-L1 antibodies, assays, scoring systems, and thresholds for positivity currently used. Alternative biomarkers such as tumor neoantigens identified through whole-exome sequencing and clinical parameters (eg, smoking or oncogene driver status) may also have predictive value. Biomarkers that can direct the rational use of PD-1/PD-L1 checkpoint inhibitors are crucial given the risk of life-threatening immune-related complications associated with these therapies and the reality that most patients still do not benefit from their use. CONCLUSIONS AND RELEVANCE: The refinement of existing biomarkers and identification of novel predictive biomarkers will be key to ensuring the effective and safe use of these agents. Since most patients still do not benefit from these agents, it is critical to continue to work to define the select patient population who will derive durable benefit from PD-1/PD-L1 inhibition and identify markers that could have predictive value for combination therapies that could expand the population who benefit.

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Year:  2016        PMID: 27310809     DOI: 10.1001/jamaoncol.2016.0639

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN: 2374-2437            Impact factor:   31.777


  92 in total

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Authors:  Cesare Gridelli; Andrea Ardizzoni; Massimo Barberis; Federico Cappuzzo; Francesca Casaluce; Romano Danesi; Giancarlo Troncone; Filippo De Marinis
Journal:  Transl Lung Cancer Res       Date:  2017-06

Review 2.  Dynamic versus static biomarkers in cancer immune checkpoint blockade: unravelling complexity.

Authors:  W Joost Lesterhuis; Anthony Bosco; Michael J Millward; Michael Small; Anna K Nowak; Richard A Lake
Journal:  Nat Rev Drug Discov       Date:  2017-01-06       Impact factor: 84.694

3.  Decitibine improve the efficiency of anti-PD-1 therapy via activating the response to IFN/PD-L1 signal of lung cancer cells.

Authors:  Qi Lai; Haiyong Wang; Angui Li; Yinhui Xu; Liang Tang; Qiang Chen; Chunfang Zhang; Yang Gao; Jianfei Song; Zhenzong Du
Journal:  Oncogene       Date:  2018-02-09       Impact factor: 9.867

4.  Clinical Molecular Marker Testing Data Capture to Promote Precision Medicine Research Within the Cancer Research Network.

Authors:  Andrea N Burnett-Hartman; Natalia Udaltsova; Lawrence H Kushi; Christine Neslund-Dudas; Alanna Kulchak Rahm; Pamala A Pawloski; Douglas A Corley; Sarah Knerr; Heather Spencer Feigelson; Jessica Ezzell Hunter; David C Tabano; Mara M Epstein; Stacey A Honda; Monica Ter-Minassian; Julie A Lynch; Christine Y Lu
Journal:  JCO Clin Cancer Inform       Date:  2019-09

5.  Prognostic impact of primary cancer adjoining emphysematous bullae in non-small cell lung cancer patients treated with immune checkpoint inhibitors.

Authors:  Shinkichi Takamori; Kazuki Takada; Mototsugu Shimokawa; Mikako Jinnnouchi; Taichi Matsubara; Naoki Haratake; Naoko Miura; Ryo Toyozawa; Masafumi Yamaguchi; Mitsuhiro Takenoyama; Yasuto Yoneshima; Kentaro Tanaka; Isamu Okamoto; Tetsuzo Tagawa; Masaki Mori
Journal:  Cancer Immunol Immunother       Date:  2021-01-03       Impact factor: 6.968

6.  Immune Checkpoint Blockade: The New Frontier in Cancer Treatment.

Authors:  Jeffrey M Clarke; Daniel J George; Stacey Lisi; April K S Salama
Journal:  Target Oncol       Date:  2018-02       Impact factor: 4.493

Review 7.  Monitoring immune-checkpoint blockade: response evaluation and biomarker development.

Authors:  Mizuki Nishino; Nikhil H Ramaiya; Hiroto Hatabu; F Stephen Hodi
Journal:  Nat Rev Clin Oncol       Date:  2017-06-27       Impact factor: 66.675

8.  Associations of PD-L1, PD-L2, and HLA class I expression with responses to immunotherapy in patients with advanced sarcoma: post hoc analysis of a phase 1/2 trial.

Authors:  S Miwa; T Nojima; A A Alomesen; H Ikeda; N Yamamoto; H Nishida; K Hayashi; A Takeuchi; K Igarashi; T Higuchi; H Yonezawa; Y Araki; S Morinaga; Y Asano; H Tsuchiya
Journal:  Clin Transl Oncol       Date:  2021-02-26       Impact factor: 3.405

9.  Wide Expression and Significance of Alternative Immune Checkpoint Molecules, B7x and HHLA2, in PD-L1-Negative Human Lung Cancers.

Authors:  Haiying Cheng; Alain Borczuk; Murali Janakiram; Xiaoxin Ren; Juan Lin; Amer Assal; Balazs Halmos; Roman Perez-Soler; Xingxing Zang
Journal:  Clin Cancer Res       Date:  2018-01-26       Impact factor: 12.531

Review 10.  PD-1/PD-L1 pathway: current researches in cancer.

Authors:  Yanyan Han; Dandan Liu; Lianhong Li
Journal:  Am J Cancer Res       Date:  2020-03-01       Impact factor: 6.166

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