Biomarkers: Optimizing Immunotherapy Response and Prediction
Received Date: Jul 01, 2025 / Accepted Date: Jul 29, 2025 / Published Date: Jul 29, 2025
Abstract
This research consolidates current advancements in immunotherapy biomarkers, focusing on their role in predicting patient re
sponse and guiding clinical decisions. Key biomarkers discussed include tumor mutational burden, microsatellite instability, PD-L1
expression, gene expression profiles, and tumor microenvironment characteristics. Emerging areas such as circulating biomarkers,
neoantigens, and digital pathology are also explored. The review emphasizes the importance of standardized assessment and combi
natorial approaches for optimizing immunotherapy efficacy across various cancers.
Citation: Chen DE (2025) Biomarkers: Optimizing Immunotherapy Response and Prediction. Immunol Curr Res 09: 270. Doi: 10.4172/icr.1000270
Copyright: © 2025 Dr. Emily Chen This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricteduse, distribution and reproduction in any medium, provided the original author and source are credited.
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