Literature DB >> 31063864

Impact of Patient Characteristics, Prior Therapy, and Sample Type on Tumor Cell Programmed Cell Death Ligand 1 Expression in Patients with Advanced NSCLC Screened for the ATLANTIC Study.

Anne-Marie Boothman1, Marietta Scott2, Marianne Ratcliffe2, Jessica Whiteley2, Phillip A Dennis3, Catherine Wadsworth4, Alan Sharpe5, Naiyer A Rizvi6, Marina Chiara Garassino7, Jill Walker2.   

Abstract

INTRODUCTION: We evaluated the impact of patient characteristics, sample types, and prior non-immunotherapy treatment on tumor cell (TC) programmed cell death ligand 1 (PD-L1) expression using samples from patients with advanced NSCLC.
METHODS: Patients (N = 1590) screened for the ATLANTIC study submitted a recently acquired (≤3 months) or archival (>3 months to >3 years old) tumor sample for PD-L1 assessment using the VENTANA PD-L1 (SP263) Assay with a cutoff of ≥25% of TCs expressing PD-L1 (TC ≥25%). Samples were acquired either before or after the two or more treatment regimens required for study entry and sample age varied among patients. A subset of patients (n = 123) provided both recent and archival samples.
RESULTS: A total of 517 of 1590 (32.5%) patients had TC greater than or equal to 25%: prevalence was greater in smokers versus nonsmokers (p = 0.0005) and those with EGFR- versus EGFR+ tumors (p = 0.0002); these effects were independent. Prevalence of TC greater than or equal to 25% was increased in recent metastatic versus primary (p = 0.005) and recent versus archival (p = 0.039) samples. Chemotherapy or radiotherapy, but not tyrosine kinase inhibition, before sampling was associated with significantly increased PD-L1 prevalence. PD-L1 status (TC ≥25% cutoff) remained unchanged in 74.0% of patients with recent and archival samples; where PD-L1 status changed, it was more likely to increase than decrease over time or with intervening treatment.
CONCLUSIONS: Several factors potentially impact PD-L1 TC greater than or equal to 25% prevalence in advanced NSCLC; however, no characteristic can be considered a surrogate for PD-L1 expression. Fresh biopsy may provide more accurate assessment of current tumoral PD-L1 expression where a low/negative result is seen in an archival sample, especially if the patient has received intervening therapy.
Copyright © 2019 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diagnostic test; Immunohistochemistry; Immunotherapy; NSCLC; Programmed cell death ligand 1

Mesh:

Substances:

Year:  2019        PMID: 31063864     DOI: 10.1016/j.jtho.2019.04.025

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  10 in total

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Review 2.  PD-L1 as a biomarker of response to immune-checkpoint inhibitors.

Authors:  Deborah Blythe Doroshow; Sheena Bhalla; Mary Beth Beasley; Lynette M Sholl; Keith M Kerr; Sacha Gnjatic; Ignacio I Wistuba; David L Rimm; Ming Sound Tsao; Fred R Hirsch
Journal:  Nat Rev Clin Oncol       Date:  2021-02-12       Impact factor: 66.675

Review 3.  Liquid biopsy is a valuable tool in the diagnosis and management of lung cancer.

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4.  Concordance of PD-L1 Status Between Image-Guided Percutaneous Biopsies and Matched Surgical Specimen in Non-Small Cell Lung Cancer.

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5.  Study on PD-L1 Expression in NSCLC Patients and Related Influencing Factors in the Real World.

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Review 6.  From rough to precise: PD-L1 evaluation for predicting the efficacy of PD-1/PD-L1 blockades.

Authors:  Xuan Zhao; Yulin Bao; Bi Meng; Zijian Xu; Sijin Li; Xu Wang; Rui Hou; Wen Ma; Dan Liu; Junnian Zheng; Ming Shi
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Review 7.  Program death ligand-1 immunocytochemistry in lung cancer cytological samples: A systematic review.

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8.  Clinical and molecular correlates of PD-L1 expression in patients with lung adenocarcinomas.

Authors:  A J Schoenfeld; H Rizvi; C Bandlamudi; J L Sauter; W D Travis; N Rekhtman; A J Plodkowski; R Perez-Johnston; P Sawan; A Beras; J V Egger; M Ladanyi; K C Arbour; C M Rudin; G J Riely; B S Taylor; M T A Donoghue; M D Hellmann
Journal:  Ann Oncol       Date:  2020-02-06       Impact factor: 32.976

9.  Analytical Concordance of PD-L1 Assays Utilizing Antibodies From FDA-Approved Diagnostics in Advanced Cancers: A Systematic Literature Review.

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10.  Prognostic significance of T-cell-inflamed gene expression profile and PD-L1 expression in patients with esophageal cancer.

Authors:  Torben Steiniche; Sun Young Rha; Hyun Cheol Chung; Jeanette Baehr Georgsen; Morten Ladekarl; Marianne Nordsmark; Marie Louise Jespersen; Hyo Song Kim; Hyunki Kim; Carly Fein; Laura H Tang; Ting Wu; Matthew J Marton; Senaka Peter; David P Kelsen; Geoffrey Ku
Journal:  Cancer Med       Date:  2021-10-24       Impact factor: 4.452

  10 in total

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