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Data · dataset · 2026

Image 1_Molecular profiling and prognostic significance of gastric cancer subtypes based on extracellular vesicle-related characteristics.tif

Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.3389/fonc.2026.1948199.s002

Background<p>Gastric cancer (GC) is a molecularly heterogeneous disease.

Description

This study aims to explore whether endocytosis pathway-associated genes and immune checkpoint-related features were linked to GC subtypes and prognosis.</p>Methods<p>Public transcriptomic datasets from TCGA and GEO were analyzed. ssGSEA was applied to predefined endocytosis-related gene sets, and NMF was used to identify molecular subtypes. Survival, tumor microenvironment features, tumor mutation burden, microsatellite instability, and differentially expressed genes were evaluated.

A three-gene prognostic model was developed and assessed through retrospective internal and external validation across public cohorts for prognostic association only.</p>Results<p>Two endocytosis-related subtypes were identified. The Group 1 subtype showed higher pathway activity, more immunosuppressive microenvironmental features, higher expression of selected immune checkpoint-related markers, and poorer survival. The Group 2 subtype showed lower pathway activity and more favorable outcomes.

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A three-gene signature (NRP1, SERPINE1, and MISP3) stratified patients into higher-risk and lower-risk groups across retrospective cohorts. Higher-risk cases were associated with worse overall survival and enrichment of epithelial-mesenchymal transition- and immune evasion-related pathways. This retrospective cross-cohort validation suggests that the prognostic signal was not restricted to a single dataset, but it does not demonstrate prospective clinical validity, analytical validity, or readiness for clinical implementation.</p>Conclusions<p>Endocytosis-related molecular patterns may be associated with distinct biological and prognostic features in GC.

The identified subtypes and prognostic signature should be interpreted as exploratory, hypothesis-generating findings that warrant further prospective, functional, and assay-level validation.</p>

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Inferred from text
Cancer 75% · Disease 75% · Image 75% · Oncology and carcinogenesis 73%
Provenance · 3 source records, 18 field assertions
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