TY - JOUR
T1 - Predictive Biomarkers for Immunotherapy in Lung Cancer
T2 - Perspective From the International Association for the Study of Lung Cancer Pathology Committee
AU - IASLC Pathology Committee
AU - Mino-Kenudson, Mari
AU - Schalper, Kurt
AU - Cooper, Wendy
AU - Dacic, Sanja
AU - Hirsch, Fred R.
AU - Jain, Deepali
AU - Lopez-Rios, Fernando
AU - Tsao, Ming Sound
AU - Yatabe, Yasushi
AU - Beasley, Mary Beth
AU - Yu, Hui
AU - Sholl, Lynette M.
AU - Brambilla, Elizabeth
AU - Chou, Teh Ying
AU - Connolly, Casey
AU - Wistuba, Ignacio
AU - Kerr, Keith M.
AU - Lantuejoul, Sylvie
N1 - Publisher Copyright:
© 2022 International Association for the Study of Lung Cancer
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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.
KW - Immunotherapy
KW - Lung cancer
KW - Neoadjuvant therapy
KW - PD-L1
KW - Predictive biomarkers
KW - TMB
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U2 - 10.1016/j.jtho.2022.09.109
DO - 10.1016/j.jtho.2022.09.109
M3 - Review article
C2 - 36184066
AN - SCOPUS:85139467275
SN - 1556-0864
VL - 17
SP - 1335
EP - 1354
JO - Journal of Thoracic Oncology
JF - Journal of Thoracic Oncology
IS - 12
ER -