Integrated multigene expression panel to prognosticate patients with gastric cancer

Area of Science:

• Oncology
• Molecular Biology
• Genomics

Background:

• Gastric cancer exhibits significant biological and genetic heterogeneity, limiting the clinical utility of individual prognostic markers.
• Accurate prediction of prognosis is crucial for effective patient management in gastric cancer.

Purpose of the Study:

• To develop a novel molecular-based model for predicting prognosis in gastric cancer patients.
• To identify a multigene expression panel that accurately stratifies patient risk.

Main Methods:

• A total of 200 gastric cancer patients were divided into learning and validation cohorts.
• mRNA expression levels of 15 molecular markers were analyzed in tumor tissues.
• A multigene expression panel was designed based on concordance index (C-index) values and subpopulation index, comprising four genes (MAGED2, SYT8, BTG1, FAM46).

Main Results:

• The optimal four-gene panel achieved a C-index of 0.793, outperforming individual markers.
• Patients were stratified into favorable, intermediate, and poor overall survival groups based on expression scores.
• The panel demonstrated reproducibility in the validation cohort, with survival rates decreasing incrementally with higher expression scores.

Conclusions:

• An integrated multigene expression panel was successfully developed to accurately stratify gastric cancer patient risk.
• The developed panel serves as an independent prognostic factor for overall survival after curative gastrectomy.
• This molecular-based model offers a simple and accurate method for prognostic prediction in gastric cancer.