ArticleDiscover oncology2025
A network-based analysis to identify a piRNA-target signature related to colorectal cancer prognosis: in silico and in vitro study.
Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- piR-27222 alleviates dexamethasone-induced osteoporosis by inhibiting ferroptosis through modulating WWP1.Journal of orthopaedic surgery and research · 2026Article
- Emerging roles of PIWI-interacting RNAs in cancer molecular diagnostics and therapeutics: a molecular biosciences perspective.Frontiers in molecular biosciences · 2026Review
- Mechanisms of Traditional Chinese Medicine-Derived Alkaloids in Colorectal Cancer Therapy: Molecular Targets, Preclinical Evidence, and Translational Prospects.Drug design, development and therapy · 2026Review
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7 authors.
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Abstract
purposePatients with colorectal cancer (CRC) are diagnosed in advanced stages and have worse overall survival. Also, this cancer incidence is rising in many countries. The aim of this study is to find piwi-interacting RNAs (piRNA) predicting the prognosis of patients with colorectal cancer, using bioinformatics and evaluating these results through RT-qPCR method.
methodsThe target genes of piRNAs were predicted using miRDB and TargetRank databases. Protein-protein interaction (PPI) networks were constructed by STRING and were analyzed with Cytoscape software and the MCODE tool used for module construction. Expression levels of final selected piRNAs in 18 pairs of CRC tissue and adjacent normal tissue were measured by quantitative real-time reverse-transcription polymerase chain reaction (qRT-PCR).
resultsTwenty CRC-related piRNAs and 980 target genes were included in this study. After PPI analysis 19 hub genes were identified. Then, the prognostic value of these hub genes was assessed via Kaplan-Meier survival analyses. This survival analysis indicated that the expression of six genes was significantly associated with overall survival of patients with CRC. These genes are targets of hsa-piR-487, hsa-piR-28944 and piR-hsa-8401. Also, the pathway analysis revealed the potential signal pathways of these piRNAs targets involved in CRC. RT-qPCR showed that hsa-piR-487 and hsa-piR-28944 expression significantly were down-regulated in CRC tumor tissues compared with the adjacent normal tissues (P < 0.05, P < 0.01).
conclusionIt seems that hsa-piR-487 and hsa-piR-28944 can be considered as a potential biomarker for the diagnosis of CRC. However, it is still necessary to conduct studies with a higher statistical population and measure them in the serum of patients to confirm these results.
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