Evidence map›Paper›PMID 36360311›Full record

ReviewGenes2022

Small Non-Coding RNAs in Human Cancer.

Qunli Xiong, Yaguang Zhang, Junjun Li, Qing Zhu

Abstract readReview
In one paragraph

Review in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. The role of miR-155 in cardiovascular diseases: Potential diagnostic and therapeutic targets.International journal of cardiology. Cardiovascular risk and prevention · 2025
    Review
  7. Review
  8. Non-coding RNA in infantile hemangioma.Pediatric research · 2024
    Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Frontiers in oncology · 2023
    Article
  20. 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

4 authors.

Qunli XiongDepartment of Abdominal Oncology, West China Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0001-8319-2834
Yaguang ZhangState Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0002-9216-1834
Junjun LiDepartment of Radiation Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.ORCID 0000-0002-4080-5458
Qing ZhuDepartment of Abdominal Oncology, West China Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0003-2182-5709

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small non-coding RNAs are widespread in the biological world and have been extensively explored over the past decades. Their fundamental roles in human health and disease are increasingly appreciated. Furthermore, a growing number of studies have investigated the functions of small non-coding RNAs in cancer initiation and progression. In this review, we provide an overview of the biogenesis of small non-coding RNAs with a focus on microRNAs, PIWI-interacting RNAs, and a new class of tRNA-derived small RNAs. We discuss their biological functions in human cancer and highlight their clinical application as molecular biomarkers or therapeutic targets.

Indexed as

MicroRNAsNeoplasmsHumansRNA, Small InterferingRNA, TransferMicroRNAsRNA, Small InterferingRNA, TransfercancerdiagnosismicroRNAPIWI-interacting RNAprognosissmall non-coding RNAtherapytRNA-derived small RNA

Identifiers

PMID36360311
PMCPMC9690286

What OpenQuestion holds

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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.