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Dataset Information

Identification of potentially deleterious mutations in gastric cancer using patient-derived xenograft models.


ABSTRACT:

Background

This study aimed to identify novel mutations associated with the progression of gastric cancer by establishing patient-derived xenograft (PDX) models and performing comprehensive genomic characterization of these PDX models and their corresponding primary tumors.

Methods

Fresh gastric cancer tissue samples were collected from 20 patients who underwent surgical resection at Shanxi Cancer Hospital and were subsequently implanted into NOD-SCID mice to establish PDX models. Histopathological features were evaluated using hematoxylin and eosin (H&E) staining. Whole-exome sequencing (WES) was performed on both primary tumors and their corresponding F1-PDX and F3-PDX tumors, focusing on mutations within 559 cancer-related genes. Predictive tools, including SIFT, Polyphen

SUBMITTER: Kong L 

PROVIDER: S-EPMC12895051 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature