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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling by array of breast cancer samples to define breast cancer subsets

ABSTRACT: A Cartes d'Identite des Tumeurs (CIT) project from the french Ligue Nationale Contre le Cancer (http://cit.ligue-cancer.net) | 537 samples on Affymetrix HG-U133 Plus 2,0 GeneChips arrays for 537 patients. 555 samples on CGH CIT v7 for 531 patients. Breast cancer molecular subtypes have been debated, pointing at their instability and dependence on the original set of samples or genes. Classification of breast cancer currently used in the clinic, albeit being simple, lacks precision. We aimed at defining more homogeneous breast cancer subsets at both the biological and clinical levels. | Submitter : Renaud Schiappa schiappar@ligue-cancer.net | Project leader : Charles Theillet charles.theillet@inserm.fr

ORGANISM(S): Homo sapiens

DISEASE(S): normal

SUBMITTER: Fabien Petel

PROVIDER: E-MTAB-365 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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A refined molecular taxonomy of breast cancer.

Guedj M M Marisa L L de Reynies A A Orsetti B B Schiappa R R Bibeau F F MacGrogan G G Lerebours F F Finetti P P Longy M M Bertheau P P Bertrand F F Bonnet F F Martin A L AL Feugeas J P JP Bièche I I Lehmann-Che J J Lidereau R R Birnbaum D D Bertucci F F de Thé H H Theillet C C

Oncogene 20110725 9

The current histoclinical breast cancer classification is simple but imprecise. Several molecular classifications of breast cancers based on expression profiling have been proposed as alternatives. However, their reliability and clinical utility have been repeatedly questioned, notably because most of them were derived from relatively small initial patient populations. We analyzed the transcriptomes of 537 breast tumors using three unsupervised classification methods. A core subset of 355 tumors ...[more]

PMID: 21785460

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