Evidence map›Paper›PMID 30428628›Full record

ReviewGenes2018

The Emerging Role of Epitranscriptomics in Cancer: Focus on Urological Tumors.

João Lobo, Daniela Barros-Silva, Rui Henrique, Carmen Jerónimo

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 3% 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

57 citing papers in PubMed, 1 synthesis or guideline pooled it, 86 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. mNAR cancer · 2023
    Article
  10. Review
  11. Article
  12. Review
  13. Post-transcriptional modification of mCell death & disease · 2023
    Article
  14. Article
  15. Article
  16. Review
  17. NSUN2-mediated RNA mEpigenetics · 2022
    Article
  18. Review
  19. Downregulation of mMolecular oncology · 2022
    Article
  20. Comprehensive analysis of NCancer cell international · 2022
    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

4 authors at 2 institutions in 1 country.

João LoboCancer Biology and Epigenetics Group, Research Center of Portuguese Oncology Institute of Porto (GEBC CI-IPOP), R. Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal. joaomachadolobo@gmail.com.ORCID 0000-0001-6829-1391
Daniela Barros-SilvaCancer Biology and Epigenetics Group, Research Center of Portuguese Oncology Institute of Porto (GEBC CI-IPOP), R. Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal. daniela.barros.silva94@gmail.com.ORCID 0000-0001-6746-6807
Rui HenriqueCancer Biology and Epigenetics Group, Research Center of Portuguese Oncology Institute of Porto (GEBC CI-IPOP), R. Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal. henrique@ipoporto.min-saude.pt.ORCID 0000-0003-3171-4666
Carmen JerónimoCancer Biology and Epigenetics Group, Research Center of Portuguese Oncology Institute of Porto (GEBC CI-IPOP), R. Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal. carmenjeronimo@ipoporto.min-saude.pt.ORCID 0000-0003-4186-5345
Universidade do Porto · PTInstituto Português de Oncologia Francisco Gentil · PT

Funding

CI-IPOP CI-IPOFB-GEBC-2018FCT POCI-01-0145-FEDER-29043
6 · The paper itself

Abstract

Epitranscriptomics has gained ground in recent years, especially after the advent of techniques for accurately studying these mechanisms. Among all modifications occurring in RNA molecules, N6-methyladenosine (m⁶A) is the most frequent, especially among mRNAs. m⁶A has been demonstrated to play important roles in many physiological processes and several disease states, including various cancer models (from solid to liquid tumors). Tumor cells' epitranscriptome is indeed disrupted in a way to promote cancer-prone features, by means of up/downregulating m⁶A-related players: the so-called writers, readers and erasers. These proteins modulate m⁶A establishment, removal and determine mRNAs fate, acting in a context-dependent manner, so that a single player may act as an oncogenic signal in one tumor model (methyltransferase like 3 (METTL3) in lung cancer) and as a tumor suppressor in another context (METTL3 in glioblastoma). Despite recent advances, however, little attention has been directed towards urological cancer. By means of a thorough analysis of the publicly available TCGA (The Cancer Genome Atlas) database, we disclosed the most relevant players in four major urogenital neoplasms-kidney, bladder, prostate and testicular cancer-for prognostic, subtype discrimination and survival purposes. In all tumor models assessed, the most promising player was shown to be Vir like m⁶A methyltransferase associated (VIRMA), which could constitute a potential target for personalized therapies.

Indexed as

bladder cancerepitranscriptomicseraserkidney cancerm6Aprostate cancerreaderRNA modificationstesticular cancerwriter

Identifiers

PMID30428628
PMCPMC6265908
OpenAlexW2901644547

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.