Prognostic Risk Model for African American Women With Breast Cancer


By The ASCO Post
Posted: 11/5/2018 4:00:36 PM
Last Updated: 11/5/2018 4:00:36 PM

  • The deep-learning algorithm identified a combination of four proteins for optimal prognostic prediction: Bcl2-like protein (BAX); inositol polyphosphate-4-phosphatase, type II (INPP4B); x-ray repair cross-complementing protein 1 (XRCC1); and cleaved poly (ADP-ribose) polymerase (c-PARP).
  • This combination of proteins could stratify high-risk African American patients with breast cancer with 86% accuracy.
  • The model retained its significant prognostic ability when controlling for clinicopathologic variables like stage, age, and positive lymph nodes.

A prognostic model developed using a machine learning approach may be able to identify African American patients…

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