OMIX010056

1Summary
Title Matched transcriptome sequencing in colorectal cancer patients with liver metastases before and after treatment with bevacizumab combined with standard chemotherapy.
Description We focused on predicting the efficacy of bevacizumab plus chemotherapy unresectable colorectal cancer liver metastases with radiomics and pathomics, and explored the tumor microenvironment related to radiomic analysis based on the transcriptome sequencing of 14 matched samples obtained from before and after treatment. Our biological interpretation of the radiomic model correlated extracellular matrix remodeling and cancer-associated fibroblasts with poor bevacizumab efficacy. Pathological validation further identified fibroblasts and peritumoral angiogenesis as key resistance drivers. This integrative and comparative omics analysis proposed a new analytical template for uncovering the environmental heterogeneity and treatment resistance of colorectal cancer liver metastases, providing practical theoretical basis for the accurate stratification and translational perspectives for pre-treatment decision-making in the management of colorectal cancer liver metastases.
Organism Homo sapiens
Data Type Expression Profiling
Data Accessibility Controlled-access
BioProject PRJCA039715
Release Date 2025-12-03
Submitter Yuedan Li (yuedan_li@163.com)
Organization Nanfang Hospital, Southern Medical University
Submission Date 2025-05-05
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
OMIX010056-01 raw count before treatment 14 Expression Profiling 4.4 MB xlsx Unavailable
OMIX010056-02 raw count after treatment 14 Expression Profiling 4.3 MB xlsx Unavailable
3Relevant Publications
Paper Title Journal Name Publish Time Accession Citing Type
Radiological and pathological integration predicts the efficacy of bevacizumab with chemotherapy in colorectal cancer liver metastases Research Square 2025-11 OMIX010056 Deposit

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