A nomogram and risk classification model predicts prognosis in Chinese esophageal squamous cell carcinoma patients.

ABSTRACT:

Background

A nomogram model based on gene mutations for predicting the prognosis of patients with resected esophageal squamous cell carcinoma (ESCC) has not been established. We sought to develop a risk classification system.

Methods

In total, 312 patients with complete clinical and genome mutation landscapes in our previous study were chosen for the present study. Public International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA) data of ESCC were also used as an external validation set.

Results

Using the least absolute shrinkage and selection operator (LASSO) method, we successfully built a 9-gene mutation-based prediction model for overall survival (OS) and a 21-gene mutation model for progression-free survival (PFS). High- and low-risk groups

SUBMITTER: Deng J 

PROVIDER: S-EPMC9552058 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature