Evidence map›Paper›PMID 33332661›Full record

ArticleJournal of clinical laboratory analysis2021

A comprehensive expression profile of tRNA-derived fragments in papillary thyroid cancer.

Shiting Shan, Yuting Wang, Chunfu Zhu

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

20 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. tRNA-derived fragments in gastric cancer: Biomarkers and functions.Journal of cellular and molecular medicine · 2022
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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

3 authors at 2 institutions in 1 country.

Shiting ShanNanjing Medical University, Nanjing, China.
Yuting WangDepartment of General Surgery, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, China.
Chunfu ZhuDepartment of General Surgery, The Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou, China.ORCID https://orcid.org/0000-0002-4363-5781
Changzhou No.2 People's Hospital · CNDalian Medical University · CN

Funding

the Changzhou Sci & Tech Program CE20165020the High-Level Medical Talents Training Project of Changzhou 2016CZLJ007the Project of Changzhou medical innovation team CCX201807the Social Development Foundation of Science and Technology of Jiangsu BE2016658
6 · The paper itself

Abstract

backgroundThe incidence of thyroid cancer has been on a rise. Papillary thyroid cancer (PTC) is the most common type of malignant thyroid tumor and accounts for approximately 85% of thyroid cancer cases. Although the genetic background of PTC has been studied extensively, relatively little is known about the role of small noncoding RNAs (sncRNAs) in PTC. tRNA-derived fragments (tRFs) represent a newly discovered class of sncRNAs that exist in many species and play key roles in various biological processes.

methodsIn this study, we used high-throughput next-generation sequencing technology to analyze the expression of tRFs in samples from PTC tissues and normal tissues. We selected four tRFs to perform qPCR to determine the expression levels of these molecules and make bioinformatic predictions.

resultsWe identified 53 unique tRFs and transfer RNA halves (tsRNAs). The 10 most upregulated tRFs and tsRNAs were tRF-39-I6D3887S1RMH5MI2, tRF-21-2E489B3RB, tRF-18-JMRPFQDY, tRF-17-202L2YF, tRF-17-VBY9PYJ, tRF-18-YRRHQFD2, tRF-21-WE884U1DD, tRF-41-EX2Z10I9BZBZOS4YB, tRF-39-HPDEXK7S1RNS9MI2, and tRF-20-1SS2P46I. The 10 most downregulated tRFs and tsRNAs were tRF-31-HQ9M739P8WQ0B, tRF-43-5YXENDBP1IUUK7VZV, tRF-38-RZYQHQ9M739P8WD8, tRF-25-9M739P8WQ0, tRF-33-V6Z3M8ZLSSXUD6, tRF-27-MY73H3RXPLM, tRF-26-DBNIB9I1KQ0, tRF-38-Z9HMI8W47W1R7HX, tRF-40-Z6V6Z3M8ZLSSXUOL, and tRF-39-YQHQ9M739P8WQ0EB. qPCR verification of cell lines and tissue samples yielded results consistent with the sequencing analysis. As tRF-39 expression showed the maximum difference between PTC cells and normal cells, we chose this tRF to predict targets and perform functional tRF and tsRNA enrichment analysis.

conclusionIn this study, we provided a comprehensive catalog of tRFs involved in PTC and assessed the abnormal expression of these fragments. Through qPCR verification, tRF-39-0VL8K87SIRMM12E2 was found to be the most significantly upregulated tRF. Further tRF and enrichment analysis revealed that tRF-39 was mostly enriched in the "metabolic pathways." These preliminary findings can be used as the basis for further research studies based on the functional role of tRFs in patients with PTC.

Indexed as

AdultAgedGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedRNA, TransferThyroid Cancer, PapillaryThyroid NeoplasmsRNA, Transferexpression profilepapillary thyroid cancertRNA-derived fragments

Identifiers

PMID33332661
PMCPMC7957983
OpenAlexW3111952205

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.