Functional proteomics can define prognosis and predict pathologic complete response in patients with breast cancer.

ABSTRACT:

Purpose

To determine whether functional proteomics improves breast cancer classification and prognostication and can predict pathological complete response (pCR) in patients receiving neoadjuvant taxane and anthracycline-taxane-based systemic therapy (NST).

Methods

Reverse phase protein array (RPPA) using 146 antibodies to proteins relevant to breast cancer was applied to three independent tumor sets. Supervised clustering to identify subgroups and prognosis in surgical excision specimens from a training set (n = 712) was validated on a test set (n = 168) in two cohorts of patients with primary breast cancer. A score was constructed using ordinal logistic regression to quantify the probability of recurrence in the training set and tested in the test set. The score was then e

SUBMITTER: Gonzalez-Angulo AM 

PROVIDER: S-EPMC3170272 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature