Evidence map›Paper›PMID 32300195›Full record

ReviewNature reviews. Cancer2020

Role of RNA modifications in cancer.

Isaia Barbieri, Tony Kouzarides

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06575452 (Using the Epitranscriptome to Diagnose and Treat Gliomas), which is not on this map. Cited by 838 papers.

0numbers the graph read from it
0cells of the map it votes in
838citing papers in PubMed
61.2field-weighted citation impact, top 1% 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.

NCT06575452 narecruitingnot on this mapstarted 2026, after this paper: background citation

Using the Epitranscriptome to Diagnose and Treat Gliomas

TypeinterventionalSponsorInstitut du Cancer de Montpellier - Val d'AurelleRan2026 to 2031Enrolled228ConditionsGliomaArmsBlood, urine and tumoral tissue samples, Tumoral tissue samples
3 · Its place in the literature

Who cites it

838 citing papers in PubMed, 1,327 citations in OpenAlex.

  1. NAR cancer · 2026
    Article
  2. Review
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  11. Beyond mBiomedicines · 2026
    Review
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778 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Isaia BarbieriThe Gurdon Institute, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-3035-8970
Tony KouzaridesThe Gurdon Institute, University of Cambridge, Cambridge, UK. tony.kouzarides@gurdon.cam.ac.uk.ORCID http://orcid.org/0000-0002-8918-4162
University of Cambridge · GB

Funding

Cancer Research UK 27321Cancer Research UK C6946/A14492Cancer Research UK RG17001Cancer Research UK RG86786Wellcome Trust 092096
6 · The paper itself

Abstract

Specific chemical modifications of biological molecules are an efficient way of regulating molecular function, and a plethora of downstream signalling pathways are influenced by the modification of DNA and proteins. Many of the enzymes responsible for regulating protein and DNA modifications are targets of current cancer therapies. RNA epitranscriptomics, the study of RNA modifications, is the new frontier of this arena. Despite being known since the 1970s, eukaryotic RNA modifications were mostly identified on transfer RNA and ribosomal RNA until the last decade, when they have been identified and characterized on mRNA and various non-coding RNAs. Increasing evidence suggests that RNA modification pathways are also misregulated in human cancers and may be ideal targets of cancer therapy. In this Review we highlight the RNA epitranscriptomic pathways implicated in cancer, describing their biological functions and their connections to the disease.

Indexed as

Epigenesis, GeneticHumansMolecular Targeted TherapyNeoplasmsRNARNA, MessengerRNA Processing, Post-TranscriptionalRNARNA, Messenger

Identifiers

PMID32300195
OpenAlexW3017173206

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.