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iCRCexp: An Integrative Database for Colorectal Cancer-Associated Gene Expression Profiles
Yan Yuan1,2,3,4, Bi-Jin Cao5, Zhi-Kai Qian2,4
1Department of Medical Oncology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, PR China.
Cancer Informatics
|June 2, 2026
Summary
A new database, iCRCexp, offers a comprehensive resource for colorectal cancer (CRC) transcriptome data. This platform integrates gene and drug information, aiding researchers in understanding CRC development and treatment.
Area of Science:
- Oncology
- Bioinformatics
- Genomics
Background:
- Colorectal cancer (CRC) is a significant cause of cancer mortality.
- Transcriptome data is crucial for understanding CRC development but lacks a centralized repository.
- Existing data sources are fragmented, hindering comprehensive analysis.
Purpose of the Study:
- To construct a comprehensive database of colorectal cancer (CRC) transcriptome sequencing data.
- To integrate gene and drug information relevant to CRC.
- To provide a platform for expression analysis for the CRC research community.
Main Methods:
- Collected CRC-related transcriptome datasets from TCGA and NCBI GEO up to 2022.
- Preprocessed and analyzed sequencing data using a unified pipeline.
- Identified CRC-related genes and drugs via text mining of PubMed abstracts and integrated analysis results.
Main Results:
- Integrated 18,466 tissue samples from 231 studies into the iCRCexp database.
- Collected 2,429 CRC-related genes and 1,852 CRC-related drugs.
- Performed differential correlation and survival analyses, predicting potential target drugs for CRC genes.
Conclusions:
- Developed iCRCexp, a comprehensive resource for CRC gene and medication information.
- Provided an expression analysis platform for the colorectal cancer research community.
- Facilitated further research into CRC pathogenesis and therapeutic strategies.
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