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bc-GenExMiner 4.5: new mining module computes breast cancer differential gene expression analyses.
Jézéquel, Pascal; Gouraud, Wilfried; Ben Azzouz, Fadoua; Guérin-Charbonnel, Catherine; Juin, Philippe P; Lasla, Hamza; Campone, Mario.
Afiliação
  • Jézéquel P; Unité de Bioinfomique, Institut de Cancérologie de l'Ouest, Bd Jacques Monod, Saint Herblain Cedex 44805, France.
  • Gouraud W; 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.
  • Ben Azzouz F; SIRIC ILIAD, Institut de Recherche en Santé-Université de Nantes, 8 Quai Moncousu-BP 70721, Nantes 44007, France.
  • Guérin-Charbonnel C; Unité de Bioinfomique, Institut de Cancérologie de l'Ouest, Bd Jacques Monod, Saint Herblain Cedex 44805, France.
  • Juin PP; SIRIC ILIAD, Institut de Recherche en Santé-Université de Nantes, 8 Quai Moncousu-BP 70721, Nantes 44007, France.
  • Lasla H; Unité de Bioinfomique, Institut de Cancérologie de l'Ouest, Bd Jacques Monod, Saint Herblain Cedex 44805, France.
  • Campone M; SIRIC ILIAD, Institut de Recherche en Santé-Université de Nantes, 8 Quai Moncousu-BP 70721, Nantes 44007, France.
Database (Oxford) ; 20212021 02 18.
Article em En | MEDLINE | ID: mdl-33599248
ABSTRACT
'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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Limite: Female / Humans Idioma: En Revista: Database (Oxford) Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Limite: Female / Humans Idioma: En Revista: Database (Oxford) Ano de publicação: 2021 Tipo de documento: Article