Homogeneous datasets of triple negative breast cancers enable the identification of novel prognostic and predictive signatures.

Homogeneous datasets of triple negative breast cancers enable the identification of novel prognostic and predictive signatures.

BACKGROUND:Current prognostic gene signatures for breast cancer mainly reflect proliferation status and have limited value in triple-negative (TNBC) cancers. The identification of prognostic signatures from TNBC cohorts was limited in the past due to small sample sizes. METHODOLOGY/PRINCIPAL FINDING...

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Bibliographic Details
Main Authors: Thomas Karn, Lajos Pusztai, Uwe Holtrich, Takayuki Iwamoto, Christine Y Shiang, Marcus Schmidt, Volkmar Müller, Christine Solbach, Regine Gaetje, Lars Hanker, Andre Ahr, Cornelia Liedtke, Eugen Ruckhäberle, Manfred Kaufmann, Achim Rody
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22220191/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22220191/?tool=EBI

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