biostudies-literatureUnknown15Yehan Z<h4>Objective</h4>The choice of neoadjuvant therapy for esophageal squamous cell carcinoma (ESCC) is controversial. This study aims to provide a basis for clinical treatment selection by establishing a predictive model for the efficacy of neoadjuvant immunochemotherapy (NICT).<h4>Methods</h4>A retrospective analysis of 30 patients was conducted, divided into Response and Non-response groups based on whether they achieved major pathological remission (MPR). Differences in genes and immune microenvironment between the two groups were analyzed through next-generation sequencing (NGS) and multiplex immunofluorescence (mIF). Variables most closely related to therapeutic efficacy were selected through LASSO regression and ROC curves to establish a predictive model. An additional 48 patients wereFrontiers in immunology1312380https://www.ebi.ac.uk/biostudies/studies/S-EPMC11079241biostudies-literatureTo develop a prognostic model for neoadjuvant immunochemotherapy efficacy in esophageal squamous cell carcinoma by analyzing the immune microenvironment.PMC11079241Jun HJiayu LJiaxin YYang LJuan JYehan ZMin SYi WXueyan CHong YShangzhi HQifeng WZongyao HSheng QXuefeng LWenwu HfalseTo develop a prognostic model for neoadjuvant immunochemotherapy efficacy in esophageal squamous cell carcinoma by analyzing the immune microenvironment.<h4>Objective</h4>The choice of neoadjuvant therapy for esophageal squamous cell carcinoma (ESCC) is controversial. This study aims to provide a basis for clinical treatment selection by establishing a predictive model for the efficacy of neoadjuvant immunochemotherapy (NICT).<h4>Methods</h4>A retrospective analysis of 30 patients was conducted, divided into Response and Non-response groups based on whether they achieved major pathological remission (MPR). Differences in genes and immune microenvironment between the two groups were analyzed through next-generation sequencing (NGS) and multiplex immunofluorescence (mIF). Variables most closely related to therapeutic efficacy were selected through LASSO regression and ROC curves to establish a predictive model. An additional 48 patients were2024-01-01T00:00:00Z20242026-06-01T08:06:19.617Z2026-04-08T10:51:30.259ZS-EPMC110792413872600210.3389/fimmu.2024.1312380