Prediction of Overall Survival Among Female Patients With Breast Cancer Using a Prognostic Signature Based on 8 DNA Repair–Related Genes
Author(s) -
Dai Zhang,
Si Yang,
Yiche Li,
Jia Yao,
Jian Ruan,
Yi Zheng,
Yujiao Deng,
Na Li,
Bajin Wei,
Ying Wu,
Zhen Zhai,
Jun Lyu,
Zhijun Dai
Publication year - 2020
Publication title -
jama network open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.278
H-Index - 39
ISSN - 2574-3805
DOI - 10.1001/jamanetworkopen.2020.14622
Subject(s) - nomogram , proportional hazards model , oncology , medicine , breast cancer , gene signature , survival analysis , univariate , cancer , multivariate statistics , gene , biology , gene expression , genetics , statistics , mathematics
Key Points Question Can a better prognosis model based on DNA repair–related genes be developed for the comprehensive evaluation of breast cancer? Findings In this prognostic study based on samples from 1096 women, a novel signature for breast cancer constructed using 8 DNA repair–related genes showed satisfactory performance for predicting survival in the training cohort from The Cancer Genome Atlas and the validation cohort from the Gene Expression Omnibus database. The DNA repair–related gene signature was an independent predictor of survival after adjustment for clinical characteristics. Meaning A prognostic signature based on 8 DNA repair–related genes predicted overall survival among female patients with breast cancer, thereby providing a new modality for the accurate diagnosis and targeted treatment of breast cancer.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom