ArticleAsian Pacific journal of cancer prevention : APJCP2025
Decoding Molecular Interactions: Unraveling the Crosstalk between the Wnt Pathway and Key Signaling Networks by miRNA in Colorectal Cancer Progression.
Article in Asian Pacific journal of cancer prevention : APJCP, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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Who cites it
2 citing papers in PubMed.
- Application of Systems Genetics to Investigate Molecular Pathology of Early-Onset Colorectal Cancer.Chemical biology & drug design · 2026Review
- Integrative systems biology and drug repurposing reveal key regulatory hubs and a prognostic signature in gastric cancer.Discover oncology · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColorectal cancer (CRC) is intricately influenced by dysregulated microRNAs (miRNAs) targeting the Wnt signaling pathway, a phenomenon pivotal in CRC initiation and progression. The exploration of miRNA-Wnt interactions holds promise for innovative therapeutic strategies in CRC treatment.
methodsa comprehensive list of genes influenced by dysregulated miRNAs targeting the Wnt pathway was compiled. High-scoring genes from the miRDB database underwent further analysis. Protein-protein interaction networks were constructed using Cytoscape and StringApp 2.0, with hub proteins identified through MCC, MNC, DMNC, and Degree algorithms. Gene ontology, KEGG enrichment analysis, CytoCluster, and promoter motif analysis were employed to characterize gene functions, associations, dysregulated clusters, and regulatory elements.
resultsProtein-protein interaction networks unveiled 15 central hub proteins, including EP300, , NRAS, NF1, CCND1, SMAD4, SOCS7, SOCS6, NECAP1, MBTD1, ACVR1C, ESR1, CREBBP, and PIK3CA. Gene ontology and KEGG analysis revealed their involvement in critical biological processes, cellular components, and molecular functions. CytoCluster analysis identified dysregulated miRNA-targeted gene clusters linked to cancer-related pathways. Promoter motif analysis provided insights into regulatory elements governing hub protein expression.
conclusionThe identified hub proteins, enriched in cancer-related pathways, offer potential therapeutic targets. These findings pave the way for future research, enhancing our ability to develop targeted interventions for improved outcomes in CRC treatment.
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