Open AccessDevelopment and verification of a personalized immune prognostic feature in breast cancer
Author(s) -
Honglei Wang,
Wu Li,
Hong-Tao Wang
Publication year - 2020
Publication title -
experimental biology and medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.012
H-Index - 146
eISSN - 1535-3702
pISSN - 1535-3699
DOI - 10.1177/1535370220936964
Subject(s) - breast cancer , oncology , immune system , medicine , gene signature , cancer , feature selection , proportional hazards model , lasso (programming language) , correlation , gene , gene expression , immunology , biology , artificial intelligence , computer science , genetics , world wide web , geometry , mathematics
Breast cancer is among the highest prevalent malignant tumors worldwide with a low survival ratio. Immune-related genes have great potential as prognostic indicator in many types of tumors. Therefore, we have attempted to develop immune-related gene markers to enhance the prognosis of breast cancer. 17-IRGPs signature was constructed as a newly developed prognostic indicator to predict the survival of BC patients.