{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Thennavan A"],"funding":["Breast Cancer Research Foundation","Susan G. Komen","National Cancer Institute","NCI NIH HHS","University of North Carolina at Chapel Hill"],"pagination":["100067"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9028992"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["1(3)"],"pubmed_abstract":["Breast cancer is classified into multiple distinct histologic types, and many of the rarer types have limited characterization. Here, we extend The Cancer Genome Atlas Breast Cancer (TCGA-BRCA) dataset with additional histologic type annotations, in a total of 1063 breast cancers. We analyze this extended dataset to define transcriptomic and genomic profiles of six rare special histologic types: cribriform, micropapillary, mucinous, papillary, metaplastic, and invasive carcinoma with medullary pattern. We show the broader applicability of our constructed special histologic type gene signatures in the TCGA Pan-Cancer Atlas dataset with a predictive model that detects mucinous histologic type across cancers of other organ systems. Using a normal mammary cell differentiation score analysis, w"],"journal":["Cell genomics"],"pubmed_title":["Molecular analysis of TCGA breast cancer histologic types."],"pmcid":["PMC9028992"],"funding_grant_id":["RO1-CA195740","P50 CA058223","R01 CA195740","R01 CA148761","P50-CA58223","SAC-160074","RO1-CA148761"],"pubmed_authors":["Xia Y","Allison K","Collins LC","Beck A","Thennavan A","Schnitt SJ","Hoadley KA","Chen YY","Beca F","Tse GM","Perou CM","Recio SG"],"additional_accession":[]},"is_claimable":false,"name":"Molecular analysis of TCGA breast cancer histologic types.","description":"Breast cancer is classified into multiple distinct histologic types, and many of the rarer types have limited characterization. Here, we extend The Cancer Genome Atlas Breast Cancer (TCGA-BRCA) dataset with additional histologic type annotations, in a total of 1063 breast cancers. We analyze this extended dataset to define transcriptomic and genomic profiles of six rare special histologic types: cribriform, micropapillary, mucinous, papillary, metaplastic, and invasive carcinoma with medullary pattern. We show the broader applicability of our constructed special histologic type gene signatures in the TCGA Pan-Cancer Atlas dataset with a predictive model that detects mucinous histologic type across cancers of other organ systems. Using a normal mammary cell differentiation score analysis, w","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Dec","modification":"2026-05-10T01:01:04.383Z","creation":"2025-04-07T01:52:44.895Z"},"accession":"S-EPMC9028992","cross_references":{"pubmed":["35465400"],"doi":["10.1016/j.xgen.2021.100067"]}}