A nomogram for predicting cancer-specific survival in patients with locally advanced unresectable esophageal cancer: development and validation study.

ABSTRACT:

Background

Immunotherapy research for esophageal cancer is progressing rapidly, particularly for locally advanced unresectable cases. Despite these advances, the prognosis remains poor, and traditional staging systems like AJCC inadequately predict outcomes. This study aims to develop and validate a nomogram to predict cancer-specific survival (CSS) in these patients.

Methods

Clinicopathological and survival data for patients diagnosed between 2010 and 2021 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were divided into a training cohort (70%) and a validation cohort (30%). Prognostic factors were identified using the Least Absolute Shrinkage and Selection Operator (LASSO) regression. A nomogram was constructed based on the tra

SUBMITTER: Xie L 

PROVIDER: S-EPMC11868048 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature