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Histological, Molecular and Functional Subtypes of Breast Cancers

Overview
Specialties Oncology
Pharmacology
Date 2010 Nov 9
PMID 21057215
Citations 152
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Abstract

Increased understanding of the molecular heterogeneity that is intrinsic to the various subtypes of breast cancer will likely shape the future of breast cancer diagnosis, prognosis, and treatment. Advances in the field over the last several decades have been remarkable and have clearly translated into better patient care as evidenced by the earlier detection, better prognosis, and new targeted therapies. There have been two recent advances in the breast cancer research field that have lead to paradigm shifts: first, the identification of intrinsic breast tumor subtypes, which has changed the way we think about breast cancer and second, the recent characterization of cancer stem cells (CSCs), which are suspected to be responsible for tumor initiation, recurrence and resistance to therapy, have opened new exciting avenues to think about breast cancer therapeutic strategies. While these advances constitute major paradigm shifts within the research realm, the clinical arena has yet to adopt and apply our understanding of the molecular basis of the disease to early diagnosis, prognosis and therapy of breast cancers. Here, we will review the current clinical approach to classification of breast cancers, newer molecular-based classification schemes, and potential future of biomarkers representing a functional classification of breast cancer.

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References
1.
Resetkova E, Reis-Filho J, Jain R, Mehta R, Thorat M, Nakshatri H . Prognostic impact of ALDH1 in breast cancer: a story of stem cells and tumor microenvironment. Breast Cancer Res Treat. 2009; 123(1):97-108. DOI: 10.1007/s10549-009-0619-3. View

2.
Chute J, Muramoto G, Whitesides J, Colvin M, Safi R, Chao N . Inhibition of aldehyde dehydrogenase and retinoid signaling induces the expansion of human hematopoietic stem cells. Proc Natl Acad Sci U S A. 2006; 103(31):11707-12. PMC: 1544234. DOI: 10.1073/pnas.0603806103. View

3.
Al-Hajj M, Wicha M, Benito-Hernandez A, Morrison S, Clarke M . Prospective identification of tumorigenic breast cancer cells. Proc Natl Acad Sci U S A. 2003; 100(7):3983-8. PMC: 153034. DOI: 10.1073/pnas.0530291100. View

4.
Stingl J, Caldas C . Molecular heterogeneity of breast carcinomas and the cancer stem cell hypothesis. Nat Rev Cancer. 2007; 7(10):791-9. DOI: 10.1038/nrc2212. View

5.
Rakha E, Reis-Filho J, Ellis I . Combinatorial biomarker expression in breast cancer. Breast Cancer Res Treat. 2010; 120(2):293-308. DOI: 10.1007/s10549-010-0746-x. View