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bc-GenExMiner 4.5: new mining module computes breast cancer differential gene expression analyses. | LitMetric

bc-GenExMiner 4.5: new mining module computes breast cancer differential gene expression analyses.

Database (Oxford)

CRCINA Team 8, UMR 1232 INSERM, Université de Nantes, Université d'Angers, Institut de Recherche en Santé-Université de Nantes, 8 Quai Moncousu-BP 70721, Nantes 44007, France.

Published: February 2021

'Breast cancer gene-expression miner' (bc-GenExMiner) is a breast cancer-associated web portal (http://bcgenex.ico.unicancer.fr). Here, we describe the development of a new statistical mining module, which permits several differential gene expression analyses, i.e. 'Expression' module. Sixty-two breast cancer cohorts and one healthy breast cohort with their corresponding clinicopathological information are included in bc-GenExMiner v4.5 version. Analyses are based on microarray or RNAseq transcriptomic data. Thirty-nine differential gene expression analyses, grouped into 13 categories, according to clinicopathological and molecular characteristics ('Targeted' and 'Exhaustive') and gene expression ('Customized'), have been developed. Output results are visualized in four forms of plots. This new statistical mining module offers, among other things, the possibility to compare gene expression in healthy (cancer-free), tumour-adjacent and tumour tissues at once and in three triple-negative breast cancer subtypes (i.e. C1: molecular apocrine tumours; C2: basal-like tumours infiltrated by immune suppressive cells and C3: basal-like tumours triggering an ineffective immune response). Several validation tests showed that bioinformatics process did not alter the pathobiological information contained in the source data. In this work, we developed and demonstrated that bc-GenExMiner 'Expression' module can be used for exploratory and validation purposes. Database URL: http://bcgenex.ico.unicancer.fr.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904047PMC
http://dx.doi.org/10.1093/database/baab007DOI Listing

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