Evidence map›Paper›PMID 31943856›Full record

ArticleCancer medicine2020

Identification of three m6A-related mRNAs signature and risk score for the prognostication of hepatocellular carcinoma.

Zedong Li, Fazhan Li, Yu Peng, Jianyu Fang, Jun Zhou

Open access · goldAbstract readValidation Study
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. DamageZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
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  3. Hypoxia-mediated mJournal of translational medicine · 2025
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  5. Abnormal changes in metabolites caused by mJournal of advanced research · 2025
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  6. Review
  7. Article
  8. Insights into the role of RNA mGenes & diseases · 2024
    Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. METTL14‑mediated RNA methylation in digestive system tumors.International journal of molecular medicine · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Role of histone lactylation interference RNA mFrontiers in cell and developmental biology · 2023
    Review
  19. mBMC cancer · 2022
    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

5 authors at 2 institutions in 1 country.

Zedong LiDepartment of Minimally Invasive Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Fazhan LiDepartment of Gastroenterology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yu PengDepartment of Minimally Invasive Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jianyu FangDepartment of Nursing, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jun ZhouDepartment of Minimally Invasive Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID 0000-0002-5895-2472
Central South University · CNFifth Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the most common type of liver cancer and is extremely harmful to human health. In recent years, N6-methyladenosine (m6A) RNA methylation in eukaryotic mRNA has been increasingly implicated in cancer pathogenesis and prognosis. In this study, we downloaded the expression profile and clinical information of 307 patients from The Cancer Genome Atlas database and 64 patients from the Gene Expression Omnibus (GEO) database, and univariate Cox analysis revealed that METTL14 was a prognostic m6A RNA methylation regulator. For further study on the related genes of METTL14, weighted gene co-expression network analysis was used to find the relationship between METTL14 and gene expression, and univariate Cox analysis and least absolute shrinkage and selection operator (LASSO) methods were used to identify hub genes that may be associated with HCC prognosis. The results indicated that cysteine sulfinic acid decarboxylase, glutamic-oxaloacetic transaminase 2, and suppressor of cytokine signaling 2 were key genes affecting the prognosis of HCC patients, and m6A methylation of these mRNAs may be regulated by METTL14. Finally, a nomogram was constructed based on the hub gene expression levels, and its prediction accuracy and discriminative ability were measured by the C-index and a calibration curve. In conclusion, METTL14, an m6A RNA methylation regulator, may participate in the malignant progression of HCC by adjusting the m6A of cysteine sulfinic acid decarboxylase, glutamic-oxaloacetic transaminase 2, and suppressor of cytokine signaling 2, and these genes are useful for prognostic stratification and treatment strategy development.

Indexed as

NomogramsAdenosineBiomarkers, TumorCarboxy-LyasesCarcinoma, HepatocellularCell Line, TumorDatasets as TopicDisease ProgressionEpigenesis, GeneticGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateLiver NeoplasmsMethylationMethyltransferasesRisk FactorsAdenosineBiomarkers, TumorCarboxy-Lyaseskynurenine-oxoglutarate transaminaseMethyltransferasesMETTL14 protein, humanN-methyladenosineRNA, MessengerSOCS2 protein, humansulfoalanine decarboxylaseSuppressor of Cytokine Signaling ProteinsTransaminaseshepatocellular carcinomaN6-methyladenosine (m6A) RNA methylationnomogramprognosis

Identifiers

PMID31943856
PMCPMC7050095
OpenAlexW2999321196

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.