↓ Skip to main content

Optimizing Breast Cancer Management

Overview of attention for book
Attention for Chapter 8: Multi-gene Panel Testing in Breast Cancer Management
Altmetric Badge

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
40 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Multi-gene Panel Testing in Breast Cancer Management
Chapter number 8
Book title
Optimizing Breast Cancer Management
Published in
Cancer treatment and research, January 2018
DOI 10.1007/978-3-319-70197-4_8
Pubmed ID
Book ISBNs
978-3-31-970195-0, 978-3-31-970197-4
Authors

Christos Fountzilas, Virginia G. Kaklamani

Abstract

Hereditary predisposition accounts for approximately 10% of all breast cancers and is mostly associated with germline mutations in high-penetrance genes encoding for proteins participating in DNA repair through homologous recombination (BRCA1 and BRCA2). With the advent of massive parallel next-generation DNA sequencing, simultaneous analysis of multiple genes with a short turnaround time and at a low cost has become possible. The clinical validity and utility of multi-gene panel testing is getting better characterized as more data on the significance of moderate-penetrance genes are collected from large, cancer genetic testing studies. In this chapter, we attempt to provide a general guide for interpretation of panel gene testing in breast cancer and use of the information obtained for clinical decision-making.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 10%
Student > Doctoral Student 4 10%
Student > Ph. D. Student 4 10%
Other 3 8%
Student > Bachelor 3 8%
Other 8 20%
Unknown 14 35%
Readers by discipline Count As %
Medicine and Dentistry 11 28%
Biochemistry, Genetics and Molecular Biology 8 20%
Agricultural and Biological Sciences 2 5%
Nursing and Health Professions 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 16 40%