ArticleGastroenterology and hepatology from bed to bench2025
Colon cancer versus colitis: a microRNA and gene expression analysis via system biology tools.
Article in Gastroenterology and hepatology from bed to bench, 2025. 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: The molecular mechanism of this relationship can be detected that promote the transition from colitis to colon cancer via system biology tools is the main aim of this study. Background: There is a correlation between colitis and associated colon analysis. Methods: The differentially expressed microRNA and gene profiles of samples with colitis and colon cancer are extracted from the Gene Expression Omnibus (GEO) database and assessed using the GEO2R program and the CluePedia plugin of Cytoscape software to identify crucial actors and controlled genes or microRNAs. Results: Analyses revealed microRNA analysis was not suitable tool to detect molecular mechanism of colitis to associated colon cancer in mouse model but the gene expression profile assessment leads to introduce CLASP1, CENPM, KIF18A, PRS7, CENPI, ZWINT, SPC24, and CENPK as the critical genes that promote this transition in fibroblast cells of colon cancer. Conclusion: Regulation of ribosome and kinetochore was suggested as a possible treatment to prevent colitis - colon cancer transition.
Indexed as
Identifiers
What 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.