Breast cancer heterogeneity in primary and metastatic disease

Saunus, Jodi M., McCart-Reed, Amy, Momeny, Majid, Cummings, Margaret and Lakhani, Sunil R. (2013). Breast cancer heterogeneity in primary and metastatic disease. In Aamir Ahmad (Ed.), Breast Cancer Metastasis and Drug Resistance: Challenges and Progress (pp. 65-96) New York, NY, USA: Springer. doi:10.1007/978-1-4614-5647-6

Author Saunus, Jodi M.
McCart-Reed, Amy
Momeny, Majid
Cummings, Margaret
Lakhani, Sunil R.
Title of chapter Breast cancer heterogeneity in primary and metastatic disease
Title of book Breast Cancer Metastasis and Drug Resistance: Challenges and Progress
Place of Publication New York, NY, USA
Publisher Springer
Publication Year 2013
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1007/978-1-4614-5647-6
Open Access Status
ISBN 9781461456469
Editor Aamir Ahmad
Chapter number 5
Start page 65
End page 96
Total pages 32
Total chapters 23
Collection year 2014
Language eng
Formatted Abstract/Summary
The term ‘breast cancer’ describes a heterogeneous collection of neoplasms arising from the mammary epithelium. Tumors in different patients display diverse morphologies, molecular phenotypes, responses to therapy, probabilities of relapse and overall survival. Current histopathological classification systems aim to categorise tumors into subgroups to inform patient management decisions, but the diversity within subgroups is considerable. Molecular analyses such as gene expression profiling, and more recently, massively parallel sequencing technologies, have been employed to increase the degree of resolution in breast cancer taxonomies. It will take time for this information to be translated into the clinic. Sequencing projects have also been instrumental in revealing the true extent of intratumoral heterogeneity: three-dimensional variability in the genetic, phenotypic, cellular and microenvironmental constitution of individual tumors. This variability underlies clinical problems such as metastasis and drug resistance, and will present additional challenges as breast cancer diagnostics evolves to include higher resolution molecular analyses. Intratumoral heterogeneity will need to be carefully considered as we move towards more personalized models of breast cancer patient management.
Keyword Autopsy
Breast cancer classification
Breast cancer molecular subtypes
Clonal evolution
Intratumoral heterogeneity
Histological subtypes
Clinico-pathologic factors
‘Triple negative’ breast cancer (TNBC)
Oestrogen receptor (ER)
Massively parallel sequencing (MPS)
Microenvironmental heterogeneity
Q-Index Code B1
Q-Index Status Confirmed Code
Institutional Status UQ

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Created: Mon, 24 Mar 2014, 12:47:43 EST by Dr Jodi Saunus on behalf of UQ Centre for Clinical Research