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>
Links
Where it is published
- DOI doi.org/10.3389/fonc.2026.1948199.s002 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Life Sciences · Life Sciences · Life Sciences · Medicine & Health · Medicine & Health · Medicine & Health
- Inferred from text
- Cancer 75% · Disease 75% · Image 75% · Oncology and carcinogenesis 73%
Provenance · 3 source records, 18 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34041846 | 12 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34041846 | 12 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/34041846 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[disease].local:disease:disease | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:3211 | enrichment · zivahub uct ac za | taxonomy-embedding@1.1.0 | title+keywords+description (73%) |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |