Evidence map›Paper›PMID 42045304›Full record

ArticleScientific reports2026

tRF-34-P4R8YP9LON4VHM may serve as a promising potential diagnostic biomarker for hepatocellular carcinoma.

Yuchen Guo, Minjie Huang, Yuyuan Lu, Tianxin Xu, Xinqi Ge, Yan Huang, Wei Zong, Kan Ni

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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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

8 authors.

Yuchen Guo *Medical School of Nantong University, Nantong University, Nantong, Jiangsu, China.
Minjie Huang *Medical School of Nantong University, Nantong University, Nantong, Jiangsu, China.
Yuyuan Lu *Medical School of Nantong University, Nantong University, Nantong, Jiangsu, China.
Tianxin XuDepartment of General Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Xinqi GeDepartment of General Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Yan HuangDepartment of General Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Wei ZongDepartment of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong, China. 13390607005@163.com.
Kan NiDepartment of General Surgery, Affiliated Hospital of Nantong University, Nantong, China. unicorn_nrc@163.com.

Funding

the Jiangsu Province Graduate Innovation Training Program S202510304160the Nantong City Natural Science Foundation JC2024013
6 · The paper itself

Abstract

Hepatocellular carcinoma represents one of the most common and fatal malignancies worldwide, with early diagnosis being critical for enhancing patient survival rates. Traditional tumor biomarkers have limitations, as serum biomarker levels remain normal in certain patients, thus constraining diagnostic accuracy. Previous researches have elucidated that tRNA-derived small RNAs (tsRNAs) exert a critical function as regulators in the pathogenesis of malignant tumors. Nevertheless, the clinical relevance of circulating tsRNAs in HCC remains largely unclear. Consequently, this research aimed to examine the possible application of a newly identified tsRNA (tRF-34-P4R8YP9LON4VHM) for auxiliary diagnosis, disease surveillance, and prognostic evaluation of HCC. tRF-34-P4R8YP9LON4VHM was detected through high-throughput sequencing, and its serum concentration was quantified using qRT-PCR. Methodological evaluation demonstrated that qRT-PCR for detecting serum tRF-34-P4R8YP9LON4VHM exhibited excellent stability, reproducibility, and specificity. Serum level of this biomarker were markedly upregulated in HCC patients compared to hepatitis patients and the healthy, and it decreased significantly following surgical resection. Moreover, elevated serum level was strongly associated with advanced TNM stage, lymph node metastasis, and tumor differentiation. Our data suggest that serum tRF-34-P4R8YP9LON4VHM is a promising auxiliary diagnostic biomarker for HCC and may further function as a valuable indicator for disease monitoring and prognostic stratification.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularLiver NeoplasmsRNA, TransferFemaleHumansMaleMiddle AgedPrognosisBiomarkers, TumorRNA, TransferBiomarkerHCCLiquid biopsytRF-34-P4R8YP9LON4VHMtRNA

Identifiers

PMID42045304
PMCPMC13287578

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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.