Evidence map›Paper›PMID 41129034›Full record

ArticleMolecular biology reports2025

Investigation of the association of tRNA-derived fragments (tRF-17-79MP9PP and tRF-18-79MP9P04) with prostate cancer.

Sercan Ergun, Kadir Önem, Deniz Bayçelebi, Ümmet Abur, Özlem Terzi, Senanur Olfaz Aslan, Neslihan Taşkurt Hekim, Sezgin Güneş, Dilbeste Demir Yeşilyurt, Yeda Keleş

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Article in Molecular biology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Sercan ErgunDepartment of Medical Biology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey. sercanergun@msn.com.ORCID http://orcid.org/0000-0002-6733-9848
Kadir ÖnemDepartment of Urology, Faculty of Medicine, Ondokuz Mayıs University, Samsun, Turkey.ORCID http://orcid.org/0000-0002-6137-4810
Deniz BayçelebiDepartment of Medical Pathology, Faculty of Medicine, Ondokuz Mayıs University, Samsun, Turkeyv, Turkey.ORCID http://orcid.org/0000-0002-1660-3629
Ümmet AburDepartment of Medical Genetics, Faculty of Medicine, Ondokuz Mayıs University, Samsun, Turkey.ORCID http://orcid.org/0000-0002-4811-9321
Özlem TerziDepartment of Public Health, Faculty of Medicine, Ondokuz Mayıs University, Samsun, Turkey.ORCID http://orcid.org/0000-0002-9524-5582
Senanur Olfaz AslanDepartment of Molecular Medicine, Graduate School, Ondokuz Mayıs University, Samsun, Turkey.ORCID http://orcid.org/0000-0001-5967-9976
Neslihan Taşkurt HekimDepartment of Medical Biology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey.ORCID http://orcid.org/0000-0002-8470-2848
Sezgin GüneşDepartment of Medical Biology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey.ORCID http://orcid.org/0000-0002-3103-6482
Dilbeste Demir YeşilyurtDepartment of Medical Biology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey.ORCID http://orcid.org/0000-0001-9212-7866
Yeda KeleşDepartment of Medical Biology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey.ORCID http://orcid.org/0000-0001-8470-5646

Funding

Ondokuz Mayıs University Scientific Research Projects Coordination Unit (BAPKOP) PYO.TIP.1901.22.001
6 · The paper itself

Abstract

introductionThis study investigates the association between the levels of two tRNA-derived fragments, tRF-17-79MP9PP and tRF-18-79MP9P04, and the pathophysiology of prostate cancer (PCa). MATERIALS AND

methodsForty patients were included: 8 with benign prostatic hyperplasia (BPH) and 32 with different PCa grades. Total RNA was extracted from formalin-fixed paraffin-embedded (FFPE) tumor tissues, and the levels of tRF-17-79MP9PP and tRF-18-79MP9P04 were analyzed.

resultsThe abundance of tRF-17-79MP9PP increased progressively with cancer grade (p < 0.001), with the highest levels observed in advanced PCa. Interestingly, BPH also showed higher tRF-17-79MP9PP level than low- and mild-grade PCa. Level of tRF-18-79MP9P04 was comparable between BPH and low-grade PCa, but significantly higher in mild, high, and advanced grades (p < 0.001). Furthermore, PSA levels were significantly correlated with both tRF-17-79MP9PP and tRF-18-79MP9P04 in PCa patients (p < 0.001), but not in the BPH group. DISCUSSION: Both tRF-17-79MP9PP and tRF-18-79MP9P04 appear to play important roles in prostate cancer, demonstrating potential oncogenic behavior in advanced stages, which contrasts with previous studies reporting tumor-suppressive effects.

conclusionThese findings indicate that elevated levels of these tRNA-derived fragments may serve as potential biomarkers for distinguishing between different grades of PCa.

Indexed as

Prostatic NeoplasmsRNA, TransferAgedBiomarkers, TumorHumansMaleMiddle AgedNeoplasm GradingProstatic HyperplasiaBiomarkers, TumorRNA, TransferExpression analysisProstate cancerTRNA-derived fragments

Identifiers

PMID41129034

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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.