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Comprehensive molecular portraits of human breast tumours

A. McCullough
- 01 Jan 2013 - 
- Vol. 2013, pp 286-288
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This article is published in Yearbook of Pathology and Laboratory Medicine.The article was published on 2013-01-01. It has received 5867 citations till now.

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UALCAN: A Portal for Facilitating Tumor Subgroup Gene Expression and Survival Analyses.

TL;DR: UALCAN, an easy to use, interactive web-portal to perform to in-depth analyses of TCGA gene expression data, serves as a platform for in silico validation of target genes and for identifying tumor sub-group specific candidate biomarkers.
Journal ArticleDOI

Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013

A. Goldhirsch, +57 more
- 01 Sep 2013 - 
TL;DR: The 13th St Gallen International Breast Cancer Conference (2013) Expert Panel reviewed and endorsed substantial new evidence on aspects of the local and regional therapies for early breast cancer, supporting less extensive surgery to the axilla and shorter durations of radiation therapy.
Journal ArticleDOI

The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge.

TL;DR: The current status of TCGA Research Network structure, purpose, and achievements are discussed, to provide publicly available datasets to help improve diagnostic methods, treatment standards, and finally to prevent cancer.

Integrated genomic characterization of endometrial carcinoma

Gad Getz, +271 more
TL;DR: The genomic features of endometrial carcinomas permit a reclassification that may affect post-surgical adjuvant treatment for women with aggressive tumours, and these features are classified into four categories: POLE ultramutated, microsatellite instability hypermutated, copy- number low, and copy-number high.
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Journal ArticleDOI

Comprehensive molecular portraits of human breast tumours

Daniel C. Koboldt, +355 more
- 04 Oct 2012 - 
TL;DR: The ability to integrate information across platforms provided key insights into previously defined gene expression subtypes and demonstrated the existence of four main breast cancer classes when combining data from five platforms, each of which shows significant molecular heterogeneity.