Evidence map›Paper›PMID 42304486›Full record

ReviewJournal of translational medicine2026

tRF and gastric cancer: molecular mechanism exploration and novel strategies for precision diagnosis and therapy.

Hongping Jia, Yiyao Duan, Yun Huang, Jun Hu, Xirui Fan, Rui Gong, Ningyan Zhang, Rong Qin, Hui Wang

Abstract readReview
In one paragraph

Review in Journal of translational medicine, 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

9 authors.

Hongping Jia *Department of Gastroenterology, Yan' an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, 650051, China.
Yiyao Duan *Department of Gastroenterology, Yan' an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, 650051, China.
Yun HuangDepartment of Gastroenterology, Yan' an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, 650051, China.
Jun HuCalmette Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, 650034, China.
Xirui FanDepartment of Gastroenterology, Yan' an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, 650051, China.
Rui GongDepartment of Gastroenterology, Yan' an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, 650051, China.
Ningyan ZhangDepartment of Gastroenterology, Yan' an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, 650051, China.
Rong QinDepartment of Gastroenterology, Yan' an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, 650051, China. 54897694@qq.com.
Hui WangDepartment of Gastroenterology, Yan' an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan, 650051, China. Amyhxy126@163.com.ORCID 0000-0001-5293-4612

Funding

Joint Special Funds for the Department of Science and Technology of Yunnan Province-Kunming Medical University 202001AY070001-266Joint Special Funds for the Department of Science and Technology of Yunnan Province-Kunming Medical University 202501AY070001-238Kunming Health Science and Technology Personnel Training Project-Leading talents in medical science and technology 2023-SW(Leader)-03Kunming Health Science and Technology Personnel Training Project-Medical science and technology leader 2023-SW (Lead)-15Kunming Health Science and Technology Personnel Training Project-Medical science and technology leader 2024-SW (Lead)-07Kunming Health Science and Technology Talents Training Project 2024-SW Technology-07Yunnan Provincial Department of Science and Technology-Kunming Medical University Joint Special Program (Key Project) 202401AY070001-023Yunnan Provincial Education Department Scientific Research Fund 2024J0285Yunnan Provincial Health Commission Medical Academic Leader Training Program D-2025048Yunnan "Xingdian Talent Support Program" Healthcare Talent 410103197910153712
6 · The paper itself

Abstract

backgroundGastric cancer (GC) remains a leading cause of cancer-related mortality, and current diagnostic biomarkers lack sufficient sensitivity and specificity. tRNA-derived fragments (tRFs), an emerging class of non-coding RNAs, have garnered attention for their stability and regulatory roles in carcinogenesis. MAIN BODY: This review adopts a comparative perspective to evaluate the distinctive roles of tRFs in GC relative to other non-coding RNAs, particularly microRNAs (miRNAs). We summarize tRF biogenesis and classification, highlighting their unique mechanistic repertoire that encompasses both AGO2-dependent gene silencing and non-canonical protein interactions. Dysregulated tRF profiles in patient samples reveal promising diagnostic candidates (e.g., tRF-23-Q99P9P9NDD, tRF-17-18VBY9M) that demonstrate superior performance to conventional markers. However, we critically examine translational barriers including functional heterogeneity, detection challenges, and the absence of registered clinical trials. We also dissect sources of contradictory findings and propose standardized frameworks for future investigation.

conclusionstRFs represent functionally versatile regulators with distinct advantages over miRNAs in diagnostic applications. Their clinical translation requires overcoming methodological standardization gaps and evidence thresholds through interdisciplinary efforts integrating multi-omics profiling, advanced delivery systems, and rigorous clinical validation.

Indexed as

Precision MedicineRNA, TransferStomach NeoplasmsAnimalsBiomarkers, TumorHumansMicroRNAsBiomarkers, TumorMicroRNAsRNA, TransferBiomarkersGastric cancerMolecular mechanismsTargeted therapytRNA-derived fragments (tRFs)

Identifiers

PMID42304486
PMCPMC13452128

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.