| Literature DB >> 35465400 |
Aatish Thennavan1,2, Francisco Beca3, Youli Xia2,4, Susana Garcia Recio2,4, Kimberly Allison3, Laura C Collins5, Gary M Tse6, Yunn-Yi Chen7, Stuart J Schnitt8, Katherine A Hoadley2,4, Andrew Beck9, Charles M Perou2,4,10.
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, we order histologic types into a continuum from stem cell-like to luminal progenitor-like to mature luminal-like. Finally, we classify TCGA-BRCA into 12 consensus groups based on integrated genomic and histological features. We present a rich openly accessible resource of histologic and genomic characterization of TCGA-BRCA to enable studies of the range of breast cancers.Entities:
Year: 2021 PMID: 35465400 PMCID: PMC9028992 DOI: 10.1016/j.xgen.2021.100067
Source DB: PubMed Journal: Cell Genom ISSN: 2666-979X