Cell Genomics (Dec 2021)

Molecular analysis of TCGA breast cancer histologic types

  • Aatish Thennavan,
  • Francisco Beca,
  • Youli Xia,
  • Susana Garcia-Recio,
  • Kimberly Allison,
  • Laura C. Collins,
  • Gary M. Tse,
  • Yunn-Yi Chen,
  • Stuart J. Schnitt,
  • Katherine A. Hoadley,
  • Andrew Beck,
  • Charles M. Perou

Journal volume & issue
Vol. 1, no. 3
p. 100067

Abstract

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Summary: 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 1,063 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 genomic, molecular, and histologic characterization of TCGA-BRCA to enable studies across the range of breast cancers.

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