Title |
Appraisal of the technologies and review of the genomic landscape of ductal carcinoma in situ of the breast
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Published in |
Breast Cancer Research, June 2015
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DOI | 10.1186/s13058-015-0586-z |
Pubmed ID | |
Authors |
Jia-Min B. Pang, Kylie L. Gorringe, Stephen Q. Wong, Alexander Dobrovic, Ian G. Campbell, Stephen B. Fox |
Abstract |
Ductal carcinoma in situ is a biologically diverse entity. Whereas some lesions are cured by local surgical excision, others recur as in situ disease or progress to invasive carcinoma with subsequent potential for metastatic spread. Reliable prognostic biomarkers are therefore desirable for appropriate clinical management but remain elusive. In common with invasive breast cancer, ductal carcinoma in situ exhibits many genomic changes, predominantly copy number alterations. Although studies have revealed the genomic heterogeneity within individual ductal carcinoma in situ lesions and the association of certain copy number alterations with nuclear grade, none of the genomic changes defined so far is consistently associated with invasive transformation or recurrence risk in pure ductal carcinoma in situ. This article will review the current landscape of genomic alterations in ductal carcinoma in situ and their potential as prognostic biomarkers together with the technologies used to define these. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 40% |
France | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 39 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 7 | 18% |
Student > Bachelor | 7 | 18% |
Researcher | 7 | 18% |
Student > Ph. D. Student | 6 | 15% |
Student > Master | 5 | 13% |
Other | 1 | 3% |
Unknown | 6 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 15 | 38% |
Agricultural and Biological Sciences | 10 | 26% |
Biochemistry, Genetics and Molecular Biology | 3 | 8% |
Nursing and Health Professions | 1 | 3% |
Chemical Engineering | 1 | 3% |
Other | 2 | 5% |
Unknown | 7 | 18% |