生物标志物
新辅助治疗
肿瘤科
代谢组学
癌症研究
医学
生物
内科学
免疫疗法
靶向治疗
队列
化疗
生物标志物发现
食管鳞状细胞癌
离体
细胞
体内
基因表达谱
生物信息学
预测标记
CD8型
肿瘤微环境
免疫学
癌
临床试验
等离子体电池
转录组
蛋白质组学
作者
Chu Xiao,Ziqin Deng,Guochao Zhang,Zhenlin Yang,Long Zhang,Hongfei Yin,Tao Fan,Di Wang,Yixiao Liu,Wenpeng Cai,Yu Ji,Jia Li,Tianle Liao,Chunxiang Li,Jie He
标识
DOI:10.1186/s12943-026-02733-3
摘要
Neoadjuvant therapy (NAT) followed by radical surgery is the standard treatment for locally advanced esophageal squamous cell carcinoma (LA-ESCC), yet many patients fail to achieve pathologic complete response (pCR). Predictive biomarkers and biological mechanisms underlying NAT resistance remain elusive. We aimed to address this challenge through longitudinal multi-omics profiling of patient plasma during NAT. We performed longitudinal plasma proteomic and metabolomic analyses in a discovery cohort of patients with LA-ESCC ( n = 40) receiving neoadjuvant chemotherapy (nCT) or neoadjuvant immunochemotherapy (nICT) to reveal molecular features relevant to treatment response. Predictive biomarkers for pCR were assessed in plasma samples from an independent validation cohort ( n = 93) by ELISA. Mechanistic studies were conducted through in vitro cell co-culture, in vivo mouse experiments, and analysis of ESCC tissue samples from another validation cohort ( n = 33). Multi-omics analysis revealed distinct molecular profiles between treatment responders and non-responders. Metabolomic profiling revealed dynamic treatment-associated changes in amino acid and lipid metabolism during NAT, and proteomic profiling highlighted baseline differences related to neutrophil activity and inflammatory responses. DEFA1 was validated as an unfavorable predictive biomarker for achieving pCR after nICT. Mechanistic studies demonstrated that DEFA1 fosters an immunosuppressive microenvironment by promoting myeloid-derived suppressor cell (MDSC) differentiation and impairing CD8 + T cell cytotoxicity. This study delineates the longitudinal plasma multi-omic landscape associated with NAT response in LA-ESCC and identifies DEFA1 as a predictive biomarker and potential therapeutic target for overcoming immunotherapy resistance.
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