Classification of triple-negative breast cancers based on Immunogenomic profiling.

ABSTRACT:

Background

Abundant evidence shows that triple-negative breast cancer (TNBC) is heterogeneous, and many efforts have been devoted to identifying TNBC subtypes on the basis of genomic profiling. However, few studies have explored the classification of TNBC specifically based on immune signatures that may facilitate the optimal stratification of TNBC patients responsive to immunotherapy.

Methods

Using four publicly available TNBC genomics datasets, we classified TNBC on the basis of the immunogenomic profiling of 29 immune signatures. Unsupervised and supervised machine learning methods were used to perform the classification.

Results

We identified three TNBC subtypes that we named Immunity High (Immunity_H), Immunity Medium (Immunity_M), and Immunity Low (Immunity_L) a

SUBMITTER: He Y 

PROVIDER: S-EPMC6310928 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature