Development of a Novel Proteomic Risk-Classifier for Prognostication of Patients With Early-Stage Hormone Receptor–Positive Breast Cancer

Development of a Novel Proteomic Risk-Classifier for Prognostication of Patients With Early-Stage Hormone Receptor–Positive Breast Cancer

Use of proteomic strategies to identify a risk classifier that estimates probability of distant recurrence in early-stage hormone receptor (HR)-positive breast cancer is relevant to physiological cellular function and therefore to intrinsic tumor biology. We used a 298-sample retrospective training...

Full description

Bibliographic Details
Main Authors: Charusheila Ramkumar, Ljubomir Buturovic, Sukriti Malpani, Arun Kumar Attuluri, Chetana Basavaraj, Chandra Prakash, Lekshmi Madhav, Dinesh Chandra Doval, Anurag Mehta, Manjiri M Bakre
Format: Article
Language:English
Published: SAGE Publishing 2018-07-01
Series:Biomarker Insights
Online Access:https://doi.org/10.1177/1177271918789100

Internet

https://doi.org/10.1177/1177271918789100

Similar Items