Automated Quantitative Analysis of p53, Cyclin D1, Ki67 and pERK Expression in Breast Carcinoma Does Not Differ from Expert Pathologist Scoring and Correlates with Clinico-Pathological Characteristics

Automated Quantitative Analysis of p53, Cyclin D1, Ki67 and pERK Expression in Breast Carcinoma Does Not Differ from Expert Pathologist Scoring and Correlates with Clinico-Pathological Characteristics

There is critical need for improved biomarker assessment platforms which integrate traditional pathological parameters (TNM stage, grade and ER/PR/HER2 status) with molecular profiling, to better define prognostic subgroups or systemic treatment response. One roadblock is the lack of semi-quantitati...

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Bibliographic Details
Main Authors: Yolanda Madarnas, Sandip K. SenGupta, Bruce E. Elliott, Jeremy Squire, Leda H. Raptis, Ashish B. Rajput, Andrew G. Day, Waheed Sangrar, Sonal Varma, Jamaica D. Cass
Format: Article
Language:English
Published: MDPI AG 2012-07-01
Series:Cancers
Subjects:
breast cancer
p53/cyclin D1/Ki67/pERK
tissue microarray
automated image analysis
clinico-pathological parameters
Online Access:http://www.mdpi.com/2072-6694/4/3/725

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