Evidence map›Paper›PMID 36449563›Full record

ArticleCancer research2023

Single-Cell Analysis in Lung Adenocarcinoma Implicates RNA Editing in Cancer Innate Immunity and Patient Prognosis.

Tracey W Chan, Jack P Dodson, Jaron Arbet, Paul C Boutros, Xinshu Xiao

Open access · greenAbstract read
In one paragraph

Article in Cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Tracey W ChanBioinformatics Interdepartmental Program, University of California, Los Angeles, California.ORCID 0000-0002-1236-6304
Jack P DodsonBioinformatics Interdepartmental Program, University of California, Los Angeles, California.ORCID 0000-0001-7260-7125
Jaron ArbetJonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, California.ORCID 0000-0003-4218-2458
Paul C BoutrosBioinformatics Interdepartmental Program, University of California, Los Angeles, California.ORCID 0000-0003-0553-7520
Xinshu XiaoBioinformatics Interdepartmental Program, University of California, Los Angeles, California.ORCID 0000-0002-9362-8029
University of California, Los Angeles · USQB3 · US

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
Advancing method benchmarking and data sharing through crowd-sourced competitions in cancer researchU24CA248265 · NCI · SAGE BIONETWORKS · PI BOUTROS, PAUL CHRISTOPHER, VARMA, SUSHEEL · 2020 to 2024
$4.1M
Exploiting public genomic and transcriptomic data to uncover cancer-RNA editing relationshipsR01CA262686 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Xinshu Grace Xiao · 2022 to 2026
$1.9M
NCI NIH HHS P30 CA016042NCI NIH HHS R01 CA262686NCI NIH HHS U24 CA248265
6 · The paper itself

Abstract

RNA editing modifies single nucleotides of RNAs, regulating primary protein structure and protein abundance. In recent years, the diversity of proteins and complexity of gene regulation associated with RNA editing dysregulation has been increasingly appreciated in oncology. Large-scale shifts in editing have been observed in bulk tumors across various cancer types. However, RNA editing in single cells and individual cell types within tumors has not been explored. By profiling editing in single cells from lung adenocarcinoma biopsies, we found that the increased editing trend of bulk lung tumors was unique to cancer cells. Elevated editing levels were observed in cancer cells resistant to targeted therapy, and editing sites associated with drug response were enriched. Consistent with the regulation of antiviral pathways by RNA editing, higher editing levels in cancer cells were associated with reduced antitumor innate immune response, especially levels of natural killer cell infiltration. In addition, the level of RNA editing in cancer cells was positively associated with somatic point mutation burden. This observation motivated the definition of a new metric, RNA editing load, reflecting the amount of RNA mutations created by RNA editing. Importantly, in lung cancer, RNA editing load was a stronger predictor of patient survival than DNA mutations. This study provides the first single cell dissection of editing in cancer and highlights the significance of RNA editing load in cancer prognosis. SIGNIFICANCE: RNA editing analysis in single lung adenocarcinoma cells uncovers RNA mutations that correlate with tumor mutation burden and cancer innate immunity and reveals the amount of RNA mutations that strongly predicts patient survival. See related commentary by Luo and Liang, p. 351.

Indexed as

Adenocarcinoma of LungLung NeoplasmsHumansImmunity, InnatePrognosisRNARNA EditingSingle-Cell AnalysisRNA

Identifiers

PMID36449563
PMCPMC9898195
OpenAlexW4310433408

What OpenQuestion holds

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LicenceTDM
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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.