Evidence map›Paper›PMID 41727220›Full record

ArticlePeerJ2026

Targetome profile of hsa-miR-93-5p is resistant to isoform formation in prostate adenocarcinoma.

Anton Zhiyanov, Ivan Kirillov, Roman Suvorov, Diana Maltseva, Alexander Tonevitsky

Abstract read
In one paragraph

Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Anton ZhiyanovFaculty of Biology and Biotechnology, Higher School of Economics, Moscow, Russia.
Ivan KirillovFaculty of Biology and Biotechnology, Higher School of Economics, Moscow, Russia.
Roman SuvorovFaculty of Biology and Biotechnology, Higher School of Economics, Moscow, Russia.
Diana MaltsevaFaculty of Biology and Biotechnology, Higher School of Economics, Moscow, Russia.
Alexander TonevitskyFaculty of Biology and Biotechnology, Higher School of Economics, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) and their isoforms, known as isomiRs, are important regulators of tumorigenesis that act as post-transcriptional modulators of gene expression. Among these, 5'-isomiRs-generated through imprecise cleavage during miRNA biogenesis-exhibit altered seed regions compared to their canonical counterparts, potentially leading to distinct targetomes. Consequently, 5'-isomiRs may exert biological functions that differ substantially from those of the corresponding canonical miRNAs. Despite growing recognition of their potential significance, the functional roles of 5'-isomiRs remain largely uncharacterized for most miRNAs. In this study, we investigated the targetome divergence between canonical miRNAs and their 5'-isomiRs, focusing on hsa-miR-93-5p, a miRNA with a well-established oncogenic role in prostate adenocarcinoma. Target transcripts of the 5'-isomiRs were identified using a shRNA-based overexpression system. Bioinformatic analysis revealed a substantial overlap between the targets of the 5'-isomiRs and the canonical miRNA. This overlap was attributed to the co-occurrence of both canonical and shifted seed motifs within the same mRNA targets. Notably, hsa-miR-93-5p ranked among the top miRNAs with a relatively high number of targets transcripts containing both seed motifs, suggesting a unique dual-targeting capacity.

Indexed as

AdenocarcinomaGene Expression Regulation, NeoplasticMicroRNAsProstatic NeoplasmsCell Line, TumorHumansMaleRNA IsoformsMicroRNAsMIRN93 microRNA, humanRNA Isoforms5’-isomiR targetsDual targetingmiR-93-5pSeed region

Identifiers

PMID41727220
PMCPMC12919312

What OpenQuestion holds

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Registered trials

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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.