MINI REVIEW article
Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
This article is part of the Research TopicExploring immune low-response states through single-cell technologies and spatial transcriptomicsView all 29 articles
Advancing Immunotherapy for Esophageal Cancer: Decoding the Roles of PD-L1, TME, and Tumor-Intrinsic Biomarkers
Provisionally accepted- 1Henan Key Laboratory of Cancer Epigenetics; Cancer Hospital, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China, 471003, Lu'o'yang, China
- 2Department of Pathology, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China, 471003, Lu'o'yang, China
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Esophageal squamous cell carcinoma (ESCC) remains a global health challenge, with immune checkpoint inhibitors (ICIs) reshaping therapeutic strategies. However, heterogeneous responses underscore the urgent need for robust predictive biomarkers. While PD-L1 expression remains the most widely used marker, its limitations, including spatial heterogeneity and inducible expression, have prompted exploration of alternative and composite indicators. Recent advances highlight the predictive potential of tumor immune microenvironment (TME) features such as tumor-infiltrating lymphocytes (TILs), tertiary lymphoid structures (TLSs), stromal maturity, and T cell–inflamed gene expression profiles. Concurrently, tumor-intrinsic biomarkers, including microsatellite instability, tumor mutational burden, neoantigen load, and chromosomal alterations—have shown promise in stratifying immunotherapy responders. Multi-omics approaches, liquid biopsies, and integration of host factors such as gut microbiota are emerging to refine patient selection. This review comprehensively examines evolving biomarkers and therapeutic trials, emphasizing the need for integrative precision strategies to optimize immunotherapy efficacy in ESCC.
Keywords: esophageal cancer, programmed death-ligand 1, Tumor immune microenvironment, predictive biomarkers, Immunotherapy, chemoimmunotherapy
Received: 04 Aug 2025; Accepted: 29 Oct 2025.
Copyright: © 2025 Ma, Wu, Liu and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Guangping Zhang, yfyzgp@163.com
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