» Articles » PMID: 28407145

GEPIA: a Web Server for Cancer and Normal Gene Expression Profiling and Interactive Analyses

Overview
Specialty Biochemistry
Date 2017 Apr 14
PMID 28407145
Citations 5444
Authors
Affiliations
Soon will be listed here.
Abstract

Tremendous amount of RNA sequencing data have been produced by large consortium projects such as TCGA and GTEx, creating new opportunities for data mining and deeper understanding of gene functions. While certain existing web servers are valuable and widely used, many expression analysis functions needed by experimental biologists are still not adequately addressed by these tools. We introduce GEPIA (Gene Expression Profiling Interactive Analysis), a web-based tool to deliver fast and customizable functionalities based on TCGA and GTEx data. GEPIA provides key interactive and customizable functions including differential expression analysis, profiling plotting, correlation analysis, patient survival analysis, similar gene detection and dimensionality reduction analysis. The comprehensive expression analyses with simple clicking through GEPIA greatly facilitate data mining in wide research areas, scientific discussion and the therapeutic discovery process. GEPIA fills in the gap between cancer genomics big data and the delivery of integrated information to end users, thus helping unleash the value of the current data resources. GEPIA is available at http://gepia.cancer-pku.cn/.

Citing Articles

Superior preclinical efficacy of co-treatment with BRG1/BRM and FLT3 inhibitor against AML cells with FLT3 mutations.

Fiskus W, Mill C, Piel J, Collins M, Hentemann M, Cuglievan B Blood Cancer J. 2025; 15(1):40.

PMID: 40089460 DOI: 10.1038/s41408-025-01251-7.


Pathological expression of mitochondrial genome-derived circRNA SCAR/mc-COX2 and its ceRNA network in colorectal cancer: implications for clinical significance.

Nourbakhsh S, Mirzaei S, Mohamadhashem F, Naghizadeh M, Razavi A, Mansoori Y BMC Cancer. 2025; 25(1):466.

PMID: 40082804 PMC: 11907809. DOI: 10.1186/s12885-025-13886-7.


A Comprehensive Analysis Revealing BUB1B as a Potential Prognostic and Immunological Biomarker in Lung Adenocarcinoma.

Hao Z, An F, Zhang W, Zhu X, Meng S, Zhao B Int J Mol Sci. 2025; 26(5).

PMID: 40076684 PMC: 11899737. DOI: 10.3390/ijms26052061.


Spatial Transcriptomics Reveals Novel Mechanisms Involved in Perineural Invasion in Pancreatic Ductal Adenocarcinomas.

Lakis V, Chan N, Lyons R, Blackburn N, Nguyen T, Chang C Cancers (Basel). 2025; 17(5).

PMID: 40075699 PMC: 11899704. DOI: 10.3390/cancers17050852.


H2AJ Is a Direct Androgen Receptor Target Gene That Regulates Androgen-Induced Cellular Senescence and Inhibits Mesenchymal Markers in Prostate Cancer Cells.

Heidari Horestani M, Atri Roozbahani G, Baniahmad A Cancers (Basel). 2025; 17(5).

PMID: 40075640 PMC: 11898987. DOI: 10.3390/cancers17050791.


References
1.
Zhou Y, Luoh S, Zhang Y, Watanabe C, Wu T, Ostland M . Genome-wide identification of chromosomal regions of increased tumor expression by transcriptome analysis. Cancer Res. 2003; 63(18):5781-4. View

2.
Li L, Chaudhuri A, Chant J, Tang Z . PADGE: analysis of heterogeneous patterns of differential gene expression. Physiol Genomics. 2007; 32(1):154-9. DOI: 10.1152/physiolgenomics.00259.2006. View

3.
Uhlen M, Fagerberg L, Hallstrom B, Lindskog C, Oksvold P, Mardinoglu A . Proteomics. Tissue-based map of the human proteome. Science. 2015; 347(6220):1260419. DOI: 10.1126/science.1260419. View

4.
Plitas G, Konopacki C, Wu K, Bos P, Morrow M, Putintseva E . Regulatory T Cells Exhibit Distinct Features in Human Breast Cancer. Immunity. 2016; 45(5):1122-1134. PMC: 5134901. DOI: 10.1016/j.immuni.2016.10.032. View

5.
Welsh J, Sapinoso L, Su A, Kern S, Wang-Rodriguez J, Moskaluk C . Analysis of gene expression identifies candidate markers and pharmacological targets in prostate cancer. Cancer Res. 2001; 61(16):5974-8. View