ArticleApplied biochemistry and biotechnology2026
Screening Biomarkers Related to Circadian Rhythm of Gastric Cancer Through Bioinformatics.
Article in Applied biochemistry and biotechnology, 2026. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
5 authors.
Funding
Abstract
Circadian rhythm (CR) dysregulation is increasingly recognized as a contributor to gastric cancer (GC) development, yet the biological and immunological consequences of CR-related alterations remain unclear. In this study, integrative transcriptomic analyses identified 147 CR-related differentially expressed genes in GC. Functional enrichment revealed significant involvement in circadian processes, cytokine activity, and immune-related signaling pathways. By applying three complementary machine learning algorithms, five robust hub genes (INHBA, DEPTOR, PDCD4, SELENBP1, and SIRT4) were identified. Among them, INHBA and SELENBP1 showed significant prognostic value, and SELENBP1 expression was strongly associated with immune infiltration patterns. Experimental validation confirmed that SELENBP1 overexpression suppressed GC cell proliferation, migration, and inflammatory cytokine secretion, and displayed a clear 24-h circadian oscillation. Collectively, these findings highlight key CR-related molecular alterations in GC and identify SELENBP1 as a promising diagnostic biomarker with potential immunoregulatory and circadian-dependent functional relevance.
Indexed as
Identifiers
42287537What OpenQuestion holds
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.