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Updated: Oct 19, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
[Interest of the bc-GenExMiner web tool in oncology]
Pascal Jézéquel1, Wilfried Gouraud2, Fadoua Ben Azzouz2
1Institut de cancérologie de l'Ouest, unité de bioinfomique, boulevard Jacques-Monod, 44805 Saint-Herblain cedex, France; Université de Nantes, université d'Angers, institut de recherche en santé-Université de Nantes, CRCINA, UMR 1232 Inserm, 8, quai Moncousu - BP 70721, 44007 Nantes cedex 1, France; SIRIC ILIAD, Nantes, Angers, France.
Abstract:
We are taking advantage of the launch of the latest version (v4.6) of our web-based data mining tool "breast cancer gene-expression miner" (bc-GenExMiner) to take stock of its position within the oncology research landscape and to present an activity report ten years after its establishment (http://bcgenex.ico.unicancer.fr). bc-GenExMiner is an open-access, user-friendly tool for statistical mining on breast tumor transcriptomes, annotated with more than 20 clinicopathologic and molecular characteristics. The database comprises more than 16,000 patients from 64 cohorts - including TCGA, METABRIC and SCAN-B - for whom several thousands of genes have been quantified by microarrays or RNA-seq. Correlation, expression and prognostic analyses are available for targeted, exhaustive or customized explorations of queried genes. bc-GenExMiner facilitates the validation, investigation, and prioritization of discoveries and hypotheses on genes of interest. It allows users to analyse large databases, create data visualizations, and obtain robust statistical analysis, thereby accelerating biomarker discovery. Ten years after its launch, judging by the number of visits, analyses, and scientific citations of bc-GenExMiner, we conclude that this web resource serves its purpose in the international scientific community working in breast cancer research, with a never-ending rise in its use.

