OMIX012561

1Summary
Title A Circulating GPNMB-Based Multimodal Model Integrates Tumor-Immune Crosstalk to Predict Immunotherapy Response in Esophageal Cancer
Description High-throughput proteomic profiling of pretreatment plasma samples was conducted in a discovery cohort of 91 patients with esophageal squamous cell carcinoma (ESCC) who received neoadjuvant chemoimmunotherapy. These datasets were used to explore circulating biomarkers and their association with therapeutic response. RNA-sequencing data were generated from OT1 CD8 T cells stimulated in vitro with recombinant mouse GPNMB to investigate transcriptional changes associated with GPNMB-mediated immune regulation.
Organism Homo sapiens
Data Type Expression Profiling by Array
Data Accessibility Controlled-access
BioProject PRJCA049406
Release Date 2026-02-18
Submitter Chen Wu (chenwu@cicams.ac.cn)
Organization Cancer Hospital, Chinese Academy of Medical Sciences
Submission Date 2025-10-27
2Files & Download

The data cannot be downloaded as it has not yet been registered in the Human Genetic Resource Management Platform of MOST.

File ID File Title Number/Samples File Type File Size File Suffix Download
OMIX012561-01 fpkm_tcell.csv 4 Expression Profiling by Array 1.5 MB csv Unavailable
OMIX012561-02 Proteomic of plasma 91 Expression Profiling by Array 630.3 KB zip Unavailable
3Relevant Publications
Paper Title Journal Name Publish Time Accession Citing Type
A Circulating GPNMB-Based Multimodal Model Integrates Tumor-Immune Crosstalk to Predict Immunotherapy Response in Esophageal Cancer Cancer Discovery 2025-09 OMIX005326 OMIX012561 OMIX267 OMIX005710 Deposit
Secondary use

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