Biomarkers for Predicting Response to Personalized Immunotherapy in Gastric Cancer

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초록

Despite advances in diagnostic imaging, surgical techniques, and systemic therapy, gastric cancer (GC) is the third leading cause of cancer-related death worldwide. Unfortunately, molecular heterogeneity and, consequently, acquired resistance in GC are the major causes of failure in the development of biomarker-guided targeted therapies. However, by showing promising survival benefits in some studies, the recent emergence of immunotherapy in GC has had a significant impact on treatment-selectable procedures. Immune checkpoint inhibitors (ICIs), widely indicated in the treatment of several malignancies, target inhibitory receptors on T lymphocytes, including the programmed cell death protein (PD-1)/programmed death-ligand 1 (PD-L1) axis and cytotoxic T-lymphocyte-associated protein 4 (CTLA4), and release effector T-cells from negative feedback signals. In this article, we review currently available predictive biomarkers (including PD-L1, microsatellite instability, Epstein-Barr virus, and tumor mutational burden) that affect the ICI treatment response, focusing on PD-L1 expression. We further briefly describe other potential biomarkers or mechanisms for predicting the response to ICIs in GC. This review may facilitate the expansion of the understanding of biomarkers for predicting the response to ICIs and help select the appropriate therapeutic approaches for patients with GC.

키워드

gastric cancer; immunotherapy; molecular pathology; biomarker; programmed cell death-ligand 1; EXPRESSION-BASED CLASSIFICATION; TUMOR MUTATIONAL BURDEN; PLUS CHEMOTHERAPY; PD-L1; HETEROGENEITY; SUBTYPES; PROTEIN; SAMPLES
제목
Biomarkers for Predicting Response to Personalized Immunotherapy in Gastric Cancer
저자
Kim, Moonsik; Jeong, Ji Yun; Seo, An Na
DOI
10.3390/diagnostics13172782
발행일
2023-09
유형
Review
저널명
DIAGNOSTICS
권
13
호
17