Prognostic nomogram based on immune scores for breast cancer patients.

ABSTRACT:

Background

Increased attention has been focused on cancer immunity gene signature. However, the threshold of immune scores to predict disease-free survival (DFS) and overall survival (OS) in breast cancer has not yet been defined. This study aimed to explore the association of immune scores with prognosis and build a clinical nomogram to predict the survival of patients with breast cancer.

Methods

A total of 986 subjects were analyzed, and clinicopathological characteristics and immune scores were obtained from the TCGA database. Cox proportional hazards regression model was used to estimate the adjusted hazard ratios (HRs). Based on results of multivariate analysis, nomograms were built. The models were subjected to bootstrap internal validation. The predictive accuracy and

SUBMITTER: Wang J 

PROVIDER: S-EPMC6718583 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature