ArticleCancer genomics & proteomics
Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimThe inflammatory microenvironment plays a critical role in stomach adenocarcinoma (STAD); however, the clinical relevance of inflammation-related genes remains unclear. This study aimed to identify key inflammation-related hub genes and evaluate their prognostic, immunological, and therapeutic significance in STAD. MATERIALS AND
methodsThis study integrated six transcriptomic datasets from GEO and TCGA databases to identify differentially expressed genes (DEGs) between STAD and normal tissues. Inflammation-related DEGs were enriched using the MSigDB hallmark gene set, followed by protein-protein interaction (PPI) network analysis to identify hub genes. The expression, diagnostic value, prognostic significance, immune microenvironment associations, and drug sensitivity of the key hub gene,
results
conclusion
Indexed as
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.