Establishment and validation of a prediction model for gastric cancer with perineural invasion based on preoperative inflammatory markers.

ABSTRACT:

Background

Gastric cancer (GC) is a prevalent malignant tumor of the digestive system, characterized by a poor prognosis and high recurrence rate. Perineural invasion (PNI), the neoplastic infiltration of nerves, is a significant predictor of survival outcome in GC. Accurate preoperative identification of PNI could facilitate patient stratification and optimal preoperative treatment. We therefore established and validated a preoperative risk assessment model for GC patients with PNI.

Methods

We collected data from 1,195 patients who underwent surgical resection at our hospital between October 2020 and December 2023, with PNI confirmed by pathological examination. We gathered laboratory data, including blood cell count, blood type, coagulation index, biochemical indexes, and

SUBMITTER: Jiang P 

PROVIDER: S-EPMC11543023 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature