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Dataset Information

Functional proteomics characterization of residual triple-negative breast cancer after standard neoadjuvant chemotherapy.


ABSTRACT:

Background

In this study, we used functional proteomics to determine the molecular characteristics of residual triple receptor-negative breast cancer (TNBC) patients after neoadjuvant systemic chemotherapy (NCT) and their relationship with patient outcomes in order to identify potential targets for therapy.

Patients and methods

Protein was extracted from 54 residual TNBCs, and 76 proteins related to breast cancer signaling were measured by reverse phase protein arrays (RPPAs). Univariable and multivariable Cox proportional hazard models were fitted for each protein. Survival outcomes were estimated by the Kaplan-Meier product limit method. Training and cross validation were carried out. The coefficients estimated from the multivariable Cox model were used to calculate a risk

SUBMITTER: Sohn J 

PROVIDER: S-EPMC3784335 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature