<HashMap><database>biostudies-other</database><scores/><additional><submitter>Nielsen TO</submitter><pagination>5367-5374</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-ECPF-SMDB-2863</full_dataset_link><project>EurocanPlatform</project><abstract>Expression profiling studies have classified breast carcinomas into luminal, normal breast-like, HER2 expressing and basal-like groups, with the latter two associated with poor outcomes. This study's objectives were to define an immunohistochemical profile that identifies basal-like tumors, to identify the presence of potential drug targets, and to determine the prognostic significance of the basal-like immunophenotype in a large series with long-term follow-up. On a panel of 21 breast tumors with basal-like expression profiles, we determined that this subtype was immunohistochemically negative for estrogen receptor and HER2, but positive for basal cytokeratins, HER1 and/or c-KIT. Using breast carcinoma tissue microarrays representing 930 patients with 17.4 years mean follow-up, basal cytokeratin expression was associated with decreased disease-specific survival. HER1 expression was observed in 54% of cases positive for basal cytokeratins (vs. 11% of negative cases) and was associated with poor survival independent of nodal status and size. c-KIT expression was more common in basal-like tumors than in other breast cancers, but did not influence prognosis. A panel of four antibodies (ER, HER1, HER2, and cytokeratin 5/6) can accurately identify basal-like tumors and suggests candidate drugs for therapies targeting HER1 or c-KIT.</abstract><repository>biostudies-other</repository><experiment_type>transcription profiling by array</experiment_type><data_source>EurocanPlatform</data_source><omics_type>Unknown</omics_type><volume>10</volume><journal>Clinical cancer research : an official journal of the American Association for Cancer Research</journal><species>Homo sapiens</species><pubmed_authors>Livasy C</pubmed_authors><pubmed_authors>Hu Z</pubmed_authors><pubmed_authors>Ragaz J</pubmed_authors><pubmed_authors>Karaca G</pubmed_authors><pubmed_authors>Gilks CB</pubmed_authors><pubmed_authors>Nielsen TO</pubmed_authors><pubmed_authors>Perou CM</pubmed_authors><pubmed_authors>van de Rijn M</pubmed_authors><pubmed_authors>Gown AM</pubmed_authors><pubmed_authors>Hernandez-Boussard T</pubmed_authors><pubmed_authors>Jensen K</pubmed_authors><pubmed_authors>Hsu FD</pubmed_authors><pubmed_authors>Dressler L</pubmed_authors><pubmed_authors>Cowan D</pubmed_authors><pubmed_authors>Cheang M</pubmed_authors><pubmed_authors>Akslen LA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Transcription profiling of human breast carcinoma tissues representing 930 patients with 17.4 years mean follow-up, basal cytokeratin expression was associated with decreased disease-specific survival</name><description>Expression profiling studies have classified breast carcinomas into luminal, normal breast-like, HER2 expressing and basal-like groups, with the latter two associated with poor outcomes. This study's objectives were to define an immunohistochemical profile that identifies basal-like tumors, to identify the presence of potential drug targets, and to determine the prognostic significance of the basal-like immunophenotype in a large series with long-term follow-up. On a panel of 21 breast tumors with basal-like expression profiles, we determined that this subtype was immunohistochemically negative for estrogen receptor and HER2, but positive for basal cytokeratins, HER1 and/or c-KIT. Using breast carcinoma tissue microarrays representing 930 patients with 17.4 years mean follow-up, basal cytokeratin expression was associated with decreased disease-specific survival. HER1 expression was observed in 54% of cases positive for basal cytokeratins (vs. 11% of negative cases) and was associated with poor survival independent of nodal status and size. c-KIT expression was more common in basal-like tumors than in other breast cancers, but did not influence prognosis. A panel of four antibodies (ER, HER1, HER2, and cytokeratin 5/6) can accurately identify basal-like tumors and suggests candidate drugs for therapies targeting HER1 or c-KIT.</description><dates><release>2016-04-14T14:52:24Z</release><publication>2004 Aug</publication><modification>2016-04-14T14:52:24Z</modification><creation>2016-04-14T14:52:24Z</creation></dates><accession>S-ECPF-SMDB-2863</accession><cross_references><ArrayExpress>E-SMDB-2863</ArrayExpress><EFO>EFO_0000635</EFO><EFO>EFO_0000305</EFO><ArrayExpress files>E-SMDB-2863</ArrayExpress files></cross_references></HashMap>