Normal cell phenotypes of breast epithelial cells provide the foundation of a breast cancer taxonomy

Sandro Santagata, Tan Ince

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

The current classification system for breast cancer is based on expression of empirical prognostic and predictive biomarkers. As an alternative, we propose a hypothesis-based ontological breast cancer classification modeled after the taxonomy of species in evolutionary biology. This approach uses normal breast epithelial cell types and differentiation lineages as the gold standard to classify tumors. We show that there are at least eleven previously undefined normal cell types in human breast epithelium and that each breast carcinoma is related to one of these normal cell types. We find that triple negative breast cancers do not have a 'basal-like' phenotype. Normal breast epithelial cells conform to four novel hormonal differentiation states and almost all human breast tumors duplicate one of these hormonal differentiation states which have significant survival differences. This ontological classification scheme provides actionable treatment strategies and provides an alternative approach for understanding tumor biology with wide-ranging implications for tumor taxonomy.

Original languageEnglish
Pages (from-to)1385-1389
Number of pages5
JournalExpert Review of Anticancer Therapy
Volume14
Issue number12
DOIs
StatePublished - Jan 1 2014

Fingerprint

Breast
Epithelial Cells
Breast Neoplasms
Phenotype
Triple Negative Breast Neoplasms
Neoplasms
Cell Lineage
Cell Differentiation
Epithelium
Biomarkers
Survival

Keywords

  • -omics
  • biomarkers
  • breast cancer diagnostics
  • heterogeneity
  • Nurses' Health Study
  • pathology

ASJC Scopus subject areas

  • Pharmacology (medical)
  • Oncology

Cite this

Normal cell phenotypes of breast epithelial cells provide the foundation of a breast cancer taxonomy. / Santagata, Sandro; Ince, Tan.

In: Expert Review of Anticancer Therapy, Vol. 14, No. 12, 01.01.2014, p. 1385-1389.

Research output: Contribution to journalArticle

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