Evidence map›Paper›PMID 34812534›Full record

ArticleJournal of clinical laboratory analysis2022

Expression and prognostic significance of m6A-related genes in TP53-mutant non-small-cell lung cancer.

Zhuochen Zhao, Junhu Wan, Manman Guo, Yangxia Wang, Zhengwu Yang, Fuyou Zhou, Zhuofang Li, Liang Ming

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

19 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. METTL16-mediated mJournal of experimental & clinical cancer research : CR · 2026
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  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. METTL14 Regulates PLAGL2/Journal of oncology · 2023
    Article
  14. METTL16 in human diseases: What should we do next?Open medicine (Warsaw, Poland) · 2023
    Review
  15. Review
  16. Article
  17. HNRNPA2B1 Demonstrates Diagnostic and Prognostic Values Based on Pan-Cancer Analyses.Computational and mathematical methods in medicine · 2022
    Article
  18. Article
  19. 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

8 authors at 2 institutions in 1 country.

Zhuochen ZhaoThe Clinical Laboratory of the First Affiliated Hospital of Zhengzhou University, Henan, China.ORCID https://orcid.org/0000-0001-9187-0199
Junhu WanThe Clinical Laboratory of the First Affiliated Hospital of Zhengzhou University, Henan, China.
Manman GuoThe Clinical Laboratory of the First Affiliated Hospital of Zhengzhou University, Henan, China.
Yangxia WangThe Clinical Laboratory of the First Affiliated Hospital of Zhengzhou University, Henan, China.
Zhengwu YangThe Clinical Laboratory of the First Affiliated Hospital of Zhengzhou University, Henan, China.
Fuyou ZhouThe Department of Thoracic Surgery, Anyang Cancer Hospital, Henan, China.
Zhuofang LiThe Clinical Laboratory of the First Affiliated Hospital of Zhengzhou University, Henan, China.
Liang MingThe Clinical Laboratory of the First Affiliated Hospital of Zhengzhou University, Henan, China.ORCID https://orcid.org/0000-0002-3622-3965
First Affiliated Hospital of Zhengzhou University · CNAnyang Tumor Hospital · CN

Funding

Henan Provincial Health and Health Commission, medical science and Technology, provincial ministry co-construction project SBGJ2018018
6 · The paper itself

Abstract

backgroundTP53 is an important tumor suppressor gene on human 17th chromosome with its mutations more than 60% in tumor cells. Lung cancer is the highest incidence malignancy in men around the world. N-6 methylase (m6A) is an enzyme that plays an important role in mRNA splicing, translation, and stabilization. However, its role in TP53-mutant non-small-cell lung cancer (NSCLC) remains unknown.

methodFirst, we investigated 17 common m6A regulators' prognostic values in NSCLC. Then, after the establishment of risk signature, we explored the diagnostic value of m6A in TP53-mutant NSCLC. Finally, gene set enrichment analysis (GSEA), gene ontology (GO) enrichment analysis, and differential expression analysis were used to reveal the possible mechanism of m6A regulators affecting TP53-mutant NSCLC patients.

resultsStudy showed that nine m6A regulators (YTHDC2, METTL14, FTO, METTL16, YTHDF1, HNRNPA2B1, RBM15, KIAA1429, and WTAP) were expressed differently between TP53-mutant and wild-type NSCLC (p < 0.05); and ALKBH5 and HNRNPA2B1 were associated with the prognostic of TP53-mutant patients. After construction of the risk signature combined ALKBH5 and HNRNPA2B1, we divided patients with TP53 mutations into high- and low-risk groups, and there was a significant survival difference between two groups. Finally, 338 differentially expression genes (DEGs) were found between high- and low-risk groups. GO enrichment analysis, PPI network, and GSEA enrichment analysis showed that m6A may affect the immune environment in extracellular and change the stability of mRNA.

conclusionIn conclusion, m6A regulators can be used as prognostic predictors in TP53-mutant patients.

Indexed as

Carcinoma, Non-Small-Cell LungComputational BiologyHumansLung NeoplasmsMethylationMethyltransferasesMutationPrognosisTumor Suppressor Protein p53MethyltransferasesMETTL3 protein, humanTP53 protein, humanTumor Suppressor Protein p53bioinformaticsN-6 methylationNSCLCprognosticTP53 mutant

Identifiers

PMID34812534
PMCPMC8761469
OpenAlexW3113212578

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.