ArticleTranslational cancer research2024
The value of a panel of circulating microRNAs in screening prostate cancer.
Article in Translational cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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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
1 citing paper in PubMed, 4 citations in OpenAlex.
- Prostate cancer epigenetics - from pathophysiology to clinical application.Nature reviews. Urology · 2025Review
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Authors and funding
13 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Prostate cancer (PCa) remains a worldwide public health problem that poses a serious threat to the health of men worldwide. Many studies have found that microRNA (miRNA) in serum has the potential to be a biomarker for cancer screening. Our study was conducted to investigate the value of serum miRNAs in PCa screening. Methods: We selected 12 miRNAs from past studies for its association with PCa. We checked the expression levels of these miRNAs in the serum of 112 PCa patients and 112 healthy controls in a two-stage experiment. We plotted the receiver operating characteristic curve of miRNAs in the validation stage and constructed a four-miRNA panel with the highest diagnostic value using stepwise logistic regression. We also predicted the target genes with these four miRNAs through online databases and performed Gene Ontology functional annotation and pathway analysis. Results: The results showed that six miRNAs (miR-429, miR-10a-5p, miR-183-5p, miR-181a-5p, miR-1231, miR-129-5p) were abnormally expressed in the serum of PCa patients. We used four of these miRNAs including miR-1231, miR-10a-5p, miR-429 and miR-129-5p to construct a combination of miRNAs with high specificity and sensitivity in screening PCa (area under the curve =0.878). Bioinformatics analysis showed that the genes targeted by these miRNAs can be linked to the development of PCa. Conclusions: Our study detected and identified a set of miRNAs that serves as screening marker for PCa, which may assist in early diagnosis and treatment of PCa.
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