Evidence map›Paper›PMID 37642916›Full record

SynthesisCellular oncology (Dordrecht, Netherlands)2024

tRNA-derived fragments: mechanism of gene regulation and clinical application in lung cancer.

Fan Wu, Qianqian Yang, Wei Pan, Wei Meng, Zhongliang Ma, Weiwei Wang

Abstract readSystematic Review
In one paragraph

Synthesis in Cellular oncology (Dordrecht, Netherlands), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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

6 authors at 2 institutions in 1 country.

Fan WuLab for Noncoding RNA & Cancer, School of Life Sciences, Shanghai University, 381 Nanchen Road, Shanghai, 200444, China.
Qianqian YangLab for Noncoding RNA & Cancer, School of Life Sciences, Shanghai University, 381 Nanchen Road, Shanghai, 200444, China.
Wei PanLab for Noncoding RNA & Cancer, School of Life Sciences, Shanghai University, 381 Nanchen Road, Shanghai, 200444, China.
Wei MengLab for Noncoding RNA & Cancer, School of Life Sciences, Shanghai University, 381 Nanchen Road, Shanghai, 200444, China.
Zhongliang MaLab for Noncoding RNA & Cancer, School of Life Sciences, Shanghai University, 381 Nanchen Road, Shanghai, 200444, China. zlma@shu.edu.cn.
Weiwei WangDepartment of Thoracic Surgery, The Third Affiliated Hospital of Kunming Medical University, Cancer Hospital, Yunnan Cancer Center, Kunming, 650118, China. wangweiweiqj@126.com.
Shanghai University · CNKunming Medical University · CN

Funding

Shanghai Science and Technology Committee No.20S11901300Yunnan Provincial Science and Technology Department - Kunming Medical University Joint Fund Key Project 202201AY070001-137
6 · The paper itself

Abstract

Lung cancer, being the most widespread and lethal form of cancer globally, has a high incidence and mortality rate primarily attributed to challenges associated with early detection, extensive metastasis, and frequent recurrence. In the context of lung cancer development, noncoding RNA molecules have a crucial role in governing gene expression and protein synthesis. Specifically, tRNA-derived fragments (tRFs), a subset of noncoding RNAs, exert significant biological influences on cancer progression, encompassing transcription and translation processes as well as epigenetic regulation. This article primarily examines the mechanisms by which tRFs modulate gene expression and contribute to tumorigenesis in lung cancer. Furthermore, we provide a comprehensive overview of the current bioinformatics analysis of tRFs in lung cancer, with the objective of offering a systematic and efficient approach for studying the expression profiling, functional enrichment, and molecular mechanisms of tRFs in this disease. Finally, we discuss the clinical significance and potential avenues for future research on tRFs in lung cancer. This paper presents a comprehensive systematic review of the existing research findings on tRFs in lung cancer, aiming to offer improved biomarkers and drug targets for clinical management of lung cancer.

Indexed as

Gene Expression Regulation, NeoplasticLung NeoplasmsRNA, TransferBiomarkers, TumorComputational BiologyHumansBiomarkers, TumorRNA, TransferBioinformatics analysisBiomarkerGene regulationLung cancertRNA-derived fragments

Identifiers

PMID37642916
PMCPMC12974017
OpenAlexW4386251454

What OpenQuestion holds

Textmetadata
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.