Predictive Biomarkers for Immunotherapy in Lung Cancer: Perspective From the International Association for the Study of Lung Cancer Pathology Committee

医学 免疫疗法 生物标志物 肿瘤科 肺癌 肿瘤微环境 伴生诊断 佐剂 免疫组织化学 癌症免疫疗法 癌症 生物标志物发现 内科学 免疫学 蛋白质组学 生物化学 化学 基因
作者
Mari Mino–Kenudson,Kurt A. Schalper,Wendy A. Cooper,Sanja Đačić,Fred R. Hirsch,Deepali Jain,Fernando López‐Ríos,Ming‐Sound Tsao,Yasushi Yatabe,Mary Beth Beasley,Hui Yu,Lynette M. Sholl,E. Brambilla,Teh‐Ying Chou,Casey Connolly,Ignacio I. Wistuba,Keith M. Kerr,Sylvie Lantuéjoul
出处
期刊:Journal of Thoracic Oncology [Elsevier BV]
卷期号:17 (12): 1335-1354 被引量:198
标识
DOI:10.1016/j.jtho.2022.09.109
摘要

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.
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