Building a Hand-Curated ceRNET for Endometrial Cancer, Striving for Clinical as Well as Medicolegal Soundness: A Systematic Review DOI Creative Commons
Roberto Piergentili, Stefano Sechi, Lina De Paola

et al.

Non-Coding RNA, Journal Year: 2025, Volume and Issue: 11(3), P. 34 - 34

Published: April 30, 2025

Background/Objectives: Competing endogenous RNAs (ceRNA) are molecules that compete for the binding to a microRNA (miR). Usually, there two ceRNA, one of which is protein-coding RNA (mRNA), with other being long non-coding (lncRNA). The miR role inhibit mRNA expression, either promoting its degradation or impairing translation. lncRNA can “sponge” miR, thus impeding inhibitory action on mRNA. In their easier configuration, these three constitute regulatory axis protein expression. However, each interact multiple targets, creating branched and intersected axes that, all together, what known as competing network (ceRNET). Methods: this systematic review, we collected available data from PubMed about experimentally verified (by luciferase assay) in endometrial cancer (EC), excluding works not using test; Results: This search allowed selection 172 bibliographic sources, manually building series ceRNETs variable complexity showed deduced intersections. main limitation highly stringent criteria, possibly leading an underestimation networks identified. work allows us only hypothesize possible gap fillings but also set basis instruct artificial intelligence, adequate prompts, expand EC ceRNET by comparing it cancers. Moreover, be used inform guide research toward specific, though still unidentified, EC, complete parts partially described, even integrate low subnetworks into larger more complex ones. Filling gaps among existing will allow physicians new therapeutic strategies may potentiate substitute Conclusions: These easily visualize long-distance interactions, helping select best treatment, depending molecular profile patient, personalized medicine. would yield higher efficiency rates lower toxicity levels, both extremely relevant factors patients’ wellbeing, legal, regulatory, ethical aspects miR-based innovative treatments medicine whole. review has been registered PROSPERO (ID: 2025 CRD420251035222).

Language: Английский

Building a Hand-Curated ceRNET for Endometrial Cancer, Striving for Clinical as Well as Medicolegal Soundness: A Systematic Review DOI Creative Commons
Roberto Piergentili, Stefano Sechi, Lina De Paola

et al.

Non-Coding RNA, Journal Year: 2025, Volume and Issue: 11(3), P. 34 - 34

Published: April 30, 2025

Background/Objectives: Competing endogenous RNAs (ceRNA) are molecules that compete for the binding to a microRNA (miR). Usually, there two ceRNA, one of which is protein-coding RNA (mRNA), with other being long non-coding (lncRNA). The miR role inhibit mRNA expression, either promoting its degradation or impairing translation. lncRNA can “sponge” miR, thus impeding inhibitory action on mRNA. In their easier configuration, these three constitute regulatory axis protein expression. However, each interact multiple targets, creating branched and intersected axes that, all together, what known as competing network (ceRNET). Methods: this systematic review, we collected available data from PubMed about experimentally verified (by luciferase assay) in endometrial cancer (EC), excluding works not using test; Results: This search allowed selection 172 bibliographic sources, manually building series ceRNETs variable complexity showed deduced intersections. main limitation highly stringent criteria, possibly leading an underestimation networks identified. work allows us only hypothesize possible gap fillings but also set basis instruct artificial intelligence, adequate prompts, expand EC ceRNET by comparing it cancers. Moreover, be used inform guide research toward specific, though still unidentified, EC, complete parts partially described, even integrate low subnetworks into larger more complex ones. Filling gaps among existing will allow physicians new therapeutic strategies may potentiate substitute Conclusions: These easily visualize long-distance interactions, helping select best treatment, depending molecular profile patient, personalized medicine. would yield higher efficiency rates lower toxicity levels, both extremely relevant factors patients’ wellbeing, legal, regulatory, ethical aspects miR-based innovative treatments medicine whole. review has been registered PROSPERO (ID: 2025 CRD420251035222).

Language: Английский

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