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Cancer-Critical Genes II: Tumor Suppressor Genes

Cancer-Critical Genes II: Tumor Suppressor Genes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...

Cancer-Critical Genes II: Tumor Suppressor Genes

Cancer-Critical Genes II: Tumor Suppressor Genes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...

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Updated: Jun 3, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

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

Yan Yuan^1,2,3,4, Bi-Jin Cao⁵, Zhi-Kai Qian^2,4

¹Department of Medical Oncology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, PR China.

Cancer Informatics

|June 2, 2026

Summary

This summary is machine-generated.

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.

Keywords:

colorectal cancer database drug prediction iCRCexp transcriptome

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Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

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Published on: October 11, 2019

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Last Updated: Jun 3, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

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Published on: May 17, 2019

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

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.