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The aim is to construct a comprehensive database for colorectal cancer gene expression profiles.

June 1, 2026Cancer InformaticsOpen Access

iCRCexp: An Integrative Database for Colorectal Cancer-Associated Gene Expression Profiles

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The aim is to construct a comprehensive database for colorectal cancer gene expression profiles.
Collected CRC-related transcriptome datasets from TCGA and GEO databases until 2022.
Preprocessed sequencing data through a unified pipeline and conducted analyses.
Used text mining to identify CRC-related genes and drugs from PubMed abstracts.
Integrated 18,466 tissue samples from 231 studies into iCRCexp.
Identified 2429 CRC-related genes and 1852 CRC-related drugs.
Conducted differential correlation and survival analyses, predicting potential target drugs for CRC-related genes.

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Database construction reveals extensive CRC gene and drug information, aiding cancer research efforts.

Yuan et al. (2026) studied this question.

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