Construction a new nomogram prognostic model for predicting overall survival after radical resection of esophageal squamous cancer.

ABSTRACT:

Background

Esophageal cancer is one of the deadliest malignancies in the world, and 5-year overall survival (OS) of esophageal cancer ranges from 12% to 20%. Surgical resection remains the principal treatment. The American Joint Commission on Cancer (AJCC) TNM (tumor, node, and metastasis) staging system is a key guideline for prognosis and treatment decisions, but it cannot fully predict outcomes. Therefore, targeting the molecular and biological features of each patient's tumor, and identifying key prognostic biomarkers as effective survival predictors and therapeutic targets are highly important to clinicians and patients.

Methods

In this study, three different methods, including Univariate Cox regression, Lasso regression, and Randomforest regression were used to screen

SUBMITTER: Shi B 

PROVIDER: S-EPMC10070853 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature