Longitudinal Plasma Metabolomics Guides Dynamic Risk Assessment and Dietary Modulation for Esophageal Squamous Cell Cancer Chemoimmunotherapy

Esophageal squamous cell carcinoma (ESCC) exhibits heterogeneous responses to chemoimmunotherapy, with only a minority achieving durable benefit, necessitating dynamic precision monitoring. Through longitudinal plasma metabolomics of 541 serial samples from 252 ESCORT-1st trial patients receiving chemoimmunotherapy plus three independent cohorts of 288 samples, we established an integrated risk assessment framework spanning the entire therapeutic continuum: (1) a baseline predictor for initial responders based on metabolite signatures; (2) an on-treatment predictor in prognosticating long-term responders among initial ones based on treatment-induced metabolic shift patterns; (3) a real-time model based on dual alteration of sphingolipid and glycerophospholipid dynamically stratifying progression risk. Meanwhile, two dietary metabolites, garlic-derived S-allyl-L-cysteine and cruciferous vegetable-derived indole-3-carbinol, were confirmed to improve outcomes by promoting NK cells infiltration and reversing CD8+ T cells exhaustion. In conclusion, we provide the first metabolomic roadmap for precision chemoimmunotherapy in ESCC, unifying baseline prediction, longitudinal surveillance, and dietary modulation into clinically actionable paradigm.

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Publication Details

Journal
Cancer Discovery
Published
2026-03-02
DOI
https://doi.org/10.1158/2159-8290.cd-25-1449
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
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article

Longitudinal Plasma Metabolomics Guides Dynamic Risk Assessment and Dietary Modulation for Esophageal Squamous Cell Cancer Chemoimmunotherapy

Haojie Chen, Meng Yang, Ke Xu, C. Y. Yeung et al.
Cancer Discovery
Metabolomics and Mass Spectrometry Studies
article

Longitudinal Plasma Metabolomics Guides Dynamic Risk Assessment and Dietary Modulation for Esophageal Squamous Cell Cancer Chemoimmunotherapy

Haojie Chen, Meng Yang, Ke Xu, C. Y. Yeung, Zhao-Lei Zeng, Qihua Zhang, Xiao-Jing Luo, X M Zhang, Jiayi Liu, Yi‐Qian Pan, Yuqing Deng, M. Xi, B. Chen, Zheng-Yu Qian, Jun Huang, Ming-Ming He, Yupeng Zheng, Rui-Hua Xu, Zong-Jian Li, Mengmeng Li, Minjie Mao, Hui Sun, Huai-Qiang Ju
article en

Abstract

Esophageal squamous cell carcinoma (ESCC) exhibits heterogeneous responses to chemoimmunotherapy, with only a minority achieving durable benefit, necessitating dynamic precision monitoring. Through longitudinal plasma metabolomics of 541 serial samples from 252 ESCORT-1st trial patients receiving chemoimmunotherapy plus three independent cohorts of 288 samples, we established an integrated risk assessment framework spanning the entire therapeutic continuum: (1) a baseline predictor for initial responders based on metabolite signatures; (2) an on-treatment predictor in prognosticating long-term responders among initial ones based on treatment-induced metabolic shift patterns; (3) a real-time model based on dual alteration of sphingolipid and glycerophospholipid dynamically stratifying progression risk. Meanwhile, two dietary metabolites, garlic-derived S-allyl-L-cysteine and cruciferous vegetable-derived indole-3-carbinol, were confirmed to improve outcomes by promoting NK cells infiltration and reversing CD8+ T cells exhaustion. In conclusion, we provide the first metabolomic roadmap for precision chemoimmunotherapy in ESCC, unifying baseline prediction, longitudinal surveillance, and dietary modulation into clinically actionable paradigm.

Cancer Discovery
Sun Yat-sen University (CN), Sun Yat-sen University Cancer Center (CN)
Openalex Percentile: Top 37%
Metabolomics and Mass Spectrometry Studies
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