Evidence map›Paper›PMID 33860037›Full record

ArticleBioMed research international2021

Differential Expression Profiles and Function Prediction of Transfer RNA-Derived Fragments in High-Grade Serous Ovarian Cancer.

Buze Chen, Sicong Liu, Haihong Wang, Guilin Li, Xiaoyuan Lu, Hao Xu

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. tRNA-derived fragments (tRFs) in cancer.Journal of cell communication and signaling · 2023
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. tRNACancers · 2021
    Article
  14. Article
  15. 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

6 authors at 2 institutions in 1 country.

Buze ChenDepartment of Gynecology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000 Jiangsu, China.
Sicong LiuGraduate School, Xuzhou Medical University, Xuzhou, Jiangsu 221000, China.
Haihong WangDepartment of Gynecology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000 Jiangsu, China.
Guilin LiDepartment of Gynecology, Maternal and Child Health Care Hospital Affiliated to Xuzhou Medical University, Xuzhou, 221000 Jiangsu, China.
Xiaoyuan LuDepartment of Gynecology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000 Jiangsu, China.ORCID https://orcid.org/0000-0001-5839-0804
Hao XuDepartment of Gynecology, Huangshi Love & Health Hospital Affiliated to Hubei Polytechnic University, Huangshi, 435000 Hubei, China.ORCID https://orcid.org/0000-0003-2608-6570
Xuzhou Medical College · CNHubei Polytechnic University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe present study is aimed at providing systematic insight into the composition and expression of transfer RNA (tRNA) derivative transcription in high-grade serous ovarian cancer (HGSOC).

methodstRNA derivative expression profiles in three pairs of HGSOC and adjacent normal ovarian tissues were conducted by tRNA-derived small RNA fragment (tRF) and tRNA half (tiRNA) sequencing. The differentially expressed tRFs and tiRNAs between HGSOC and paired adjacent normal samples were screened. The targeted genes of differentially expressed tRFs and tiRNAs were screened. The Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) of target genes of tRFs and tiRNAs were analyzed.

resultsThere are a total of 20 significantly upregulated and 15 significantly downregulated tRFs and tiRNAs between the cancer group and the paracarcinoma group. The upregulated tRFs and tiRNAs are mucin-type O-glycan biosynthesis, glycosphingolipid biosynthesis, the glucagon signaling pathway, the AMPK signaling pathway, maturity-onset diabetes of the young, glycosphingolipid biosynthesis, the insulin signaling pathway, insulin resistance, leukocyte transendothelial migration, starch, and sucrose metabolism. The downregulated tRFs and tiRNAs are other glycan degradation, vitamin digestion and absorption, fatty acid elongation, and biosynthesis of unsaturated fatty acids.

conclusionsThere are significantly expressed tRFs and tiRNAs in HGSOC tissues, and these may provide potential diagnostic biomarkers and therapeutic targets for HGSOC.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticAgedCystadenocarcinoma, SerousDown-RegulationFemaleGene OntologyGene Regulatory NetworksHumansMiddle AgedMolecular Sequence AnnotationNeoplasm GradingOvarian NeoplasmsRNA, MessengerRNA, TransferUp-RegulationRNA, MessengerRNA, Transfer

Identifiers

PMID33860037
PMCPMC8028742
OpenAlexW3144594007

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.