A Circulating GPNMB-Based Multimodal Model Integrates Tumor-Immune Crosstalk to Predict Immunotherapy Response in Esophageal Cancer

Neoadjuvant immunotherapy improves outcomes in esophageal squamous cell carcinoma (ESCC), yet ~70% of patients fail to respond. Pretreatment biopsies and plasma provide critical opportunities for biomarker discovery. Here, we performed plasma proteomic profiling and identified soluble glycoprotein non-metastatic melanoma protein B (sGPNMB) as the most elevated circulating protein in non-responders. Mechanistically, tumor cell-derived sGPNMB suppressed CD8+ T cell receptor (TCR) signaling via the SDC4-CD148 axis to induce functional exhaustion, with secretion being required for its immunosuppressive activity. Cancer-associated fibroblast-epithelial (CAF-Epi) niches promoted SOX2 upregulation in tumor cells, transcriptionally activating GPNMB expression. In humanized PDX models, circulating GPNMB levels predicted response to PD-1 blockade, and GPNMB inhibition synergised with therapy. Across retrospective cohorts and a prospective clinical trial, a multimodal model combining plasma GPNMB levels, CAF-Epi niche detection, and clinical-pathological features achieved robust predictive accuracy for immunotherapy response and survival. These findings establish a spatial-circulating biomarker framework for precision ESCC immunotherapy.

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Publication Details

Journal
Cancer Discovery
Published
2026-02-26
DOI
https://doi.org/10.1158/2159-8290.cd-25-1907
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00

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article

A Circulating GPNMB-Based Multimodal Model Integrates Tumor-Immune Crosstalk to Predict Immunotherapy Response in Esophageal Cancer

Lingxuan Zhu, X. Wang, Xinjie Chen, Xinyi Xiao et al.
Cancer Discovery
Cancer Immunotherapy and Biomarkers
article

A Circulating GPNMB-Based Multimodal Model Integrates Tumor-Immune Crosstalk to Predict Immunotherapy Response in Esophageal Cancer

Lingxuan Zhu, X. Wang, Xinjie Chen, Xinyi Xiao, Guoyu Cheng, Z. S. You, Dongxin Lin, Lan Lan, Dong Ziming, Rucheng Liu, Z X He, Yancheng Lai, Liang Zhu, Li Zhang, Shaosen Zhang, Jiang Chang, Chen Wu
article en

Abstract

Neoadjuvant immunotherapy improves outcomes in esophageal squamous cell carcinoma (ESCC), yet ~70% of patients fail to respond. Pretreatment biopsies and plasma provide critical opportunities for biomarker discovery. Here, we performed plasma proteomic profiling and identified soluble glycoprotein non-metastatic melanoma protein B (sGPNMB) as the most elevated circulating protein in non-responders. Mechanistically, tumor cell-derived sGPNMB suppressed CD8+ T cell receptor (TCR) signaling via the SDC4-CD148 axis to induce functional exhaustion, with secretion being required for its immunosuppressive activity. Cancer-associated fibroblast-epithelial (CAF-Epi) niches promoted SOX2 upregulation in tumor cells, transcriptionally activating GPNMB expression. In humanized PDX models, circulating GPNMB levels predicted response to PD-1 blockade, and GPNMB inhibition synergised with therapy. Across retrospective cohorts and a prospective clinical trial, a multimodal model combining plasma GPNMB levels, CAF-Epi niche detection, and clinical-pathological features achieved robust predictive accuracy for immunotherapy response and survival. These findings establish a spatial-circulating biomarker framework for precision ESCC immunotherapy.

Cancer Discovery
Harbin Medical University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN), Third Affiliated Hospital of Harbin Medical University (CN), Huazhong University of Science and Technology Hospital (CN), Tongji Hospital (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, Chinese Academy of Medical Sciences
Good health and well-being
Openalex Percentile: Top 41%
Cancer Immunotherapy and Biomarkers
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