Predictive Biomarkers for Immunotherapy in Lung Cancer: Perspective From the International Association for the Study of Lung Cancer Pathology Committee.
Immunotherapy
Lung cancer
Neoadjuvant therapy
PD-L1
Predictive biomarkers
TMB
Journal
Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
ISSN: 1556-1380
Titre abrégé: J Thorac Oncol
Pays: United States
ID NLM: 101274235
Informations de publication
Date de publication:
12 2022
12 2022
Historique:
received:
06
07
2022
revised:
08
09
2022
accepted:
12
09
2022
pubmed:
3
10
2022
medline:
24
11
2022
entrez:
2
10
2022
Statut:
ppublish
Résumé
Immunotherapy including immune checkpoint inhibitors (ICIs) has become the backbone of treatment for most lung cancers with advanced or metastatic disease. In addition, they have increasingly been used for early stage tumors in neoadjuvant and adjuvant settings. Unfortunately, however, only a subset of patients experiences meaningful response to ICIs. Although programmed death-ligand 1 (PD-L1) protein expression by immunohistochemistry (IHC) has played a role as the principal predictive biomarker for immunotherapy, its performance may not be optimal, and it suffers multiple practical issues with different companion diagnostic assays approved. Similarly, tumor mutational burden (TMB) has multiple technical issues as a predictive biomarker for ICIs. Now, ongoing research on tumor- and host immune-specific factors has identified immunotherapy biomarkers that may provide better response and prognosis prediction, in particular in a multimodal approach. This review by the International Association for the Study of Lung Cancer Pathology Committee provides an overview of various immunotherapy biomarkers, including updated data on PD-L1 IHC and TMB, and assessments of neoantigens, genetic and epigenetic signatures, immune microenvironment by IHC and transcriptomics, and microbiome and pathologic response to neoadjuvant immunotherapies. The aim of this review is to underline the efficacy of new individual or combined predictive biomarkers beyond PD-L1 IHC and TMB.
Identifiants
pubmed: 36184066
pii: S1556-0864(22)01695-1
doi: 10.1016/j.jtho.2022.09.109
pii:
doi:
Substances chimiques
B7-H1 Antigen
0
Biomarkers, Tumor
0
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
1335-1354Informations de copyright
Copyright © 2022 International Association for the Study of Lung Cancer. All rights reserved.