Evidence map›Paper›PMID 33445472›Full record

ArticleNon-coding RNA2021

Evaluation of the Interplay between the ADAR Editome and Immunotherapy in Melanoma.

Marina Tusup, Phil F Cheng, Ernesto Picardi, Austeja Raziunaite, Reinhard Dummer, Mitchell P Levesque, Lars E French, Emmanuella Guenova, Thomas M Kundig, Steve Pascolo

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Non-coding RNA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 3 countries.

Marina TusupDepartment of Dermatology, University Hospital of Zürich, Gloriastrasse 31, 8091 Zürich, Switzerland.ORCID 0000-0001-7746-1057
Phil F ChengDepartment of Dermatology, University Hospital of Zürich, Gloriastrasse 31, 8091 Zürich, Switzerland.ORCID 0000-0003-2940-006X
Ernesto PicardiDepartment of Biosciences, Biotechnology and Biopharmaceutics, University of Bari "A. Moro", 70121 Bari, Italy.ORCID 0000-0002-6549-0114
Austeja RaziunaiteDepartment of Dermatology, University Hospital of Zürich, Gloriastrasse 31, 8091 Zürich, Switzerland.ORCID 0000-0002-6728-2909
Reinhard DummerDepartment of Dermatology, University Hospital of Zürich, Gloriastrasse 31, 8091 Zürich, Switzerland.
Mitchell P LevesqueDepartment of Dermatology, University Hospital of Zürich, Gloriastrasse 31, 8091 Zürich, Switzerland.ORCID 0000-0001-5902-9420
Lars E FrenchDepartment of Dermatology, University Hospital of Zürich, Gloriastrasse 31, 8091 Zürich, Switzerland.ORCID 0000-0002-4629-1486
Emmanuella GuenovaDepartment of Dermatology, University Hospital of Zürich, Gloriastrasse 31, 8091 Zürich, Switzerland.ORCID 0000-0001-5478-8735
Thomas M KundigDepartment of Dermatology, University Hospital of Zürich, Gloriastrasse 31, 8091 Zürich, Switzerland.
Steve PascoloDepartment of Dermatology, University Hospital of Zürich, Gloriastrasse 31, 8091 Zürich, Switzerland.
University of Zurich · CHInstitute of Biomembranes, Bioenergetics and Molecular Biotechnologies · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRNA editing is a highly conserved posttranscriptional mechanism that contributes to transcriptome diversity. In mammals, it includes nucleobase deaminations that convert cytidine (C) into uridine (U) and adenosine (A) into inosine (I). Evidence from cancer studies indicates that RNA-editing enzymes promote certain mechanisms of tumorigenesis. On the other hand, recoding editing in mRNA can generate mutations in proteins that can participate in the Major Histocompatibility Complex (MHC) ligandome and can therefore be recognized by the adaptive immune system. Anti-cancer treatment based on the administration of immune checkpoint inhibitors enhance these natural anti-cancer immune responses.

resultsBased on RNA-Seq datasets, we evaluated the editome of melanoma cell lines generated from patients pre- and post-immunotherapy with immune checkpoint inhibitors. Our results reveal a differential editing in Arthrobacter luteus (Alu) sequences between samples pre-therapy and relapses during therapy with immune checkpoint inhibitors.

conclusionThese data pave the way towards the development of new diagnostics and therapies targeted to editing that could help in preventing relapses during immunotherapies.

Indexed as

ADARAlu sequenceseditingimmune checkpoint inhibitorsimmunotherapymelanoma

Identifiers

PMID33445472
PMCPMC7838980
OpenAlexW3119533710

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.