Evidence map›Paper›PMID 33941613›Full record

ArticleCancer research2021

Targeting DDX3X Triggers Antitumor Immunity via a dsRNA-Mediated Tumor-Intrinsic Type I Interferon Response.

Hyeongjwa Choi, Juntae Kwon, Min Soon Cho, Yifan Sun, Xiaofeng Zheng, Jing Wang, Kerrie B Bouker, John L Casey, Michael B Atkins, Jeffrey Toretsky and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

32 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
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  4. Human lncRNAProceedings of the National Academy of Sciences of the United States of America · 2026
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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

11 authors at 3 institutions in 1 country.

Hyeongjwa ChoiDepartment of Oncology, Georgetown University, Washington, DC.
Juntae KwonDepartment of Oncology, Georgetown University, Washington, DC.
Min Soon ChoDepartment of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Yifan SunDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.ORCID 0000-0001-6205-0837
Xiaofeng ZhengDepartment of Bioinformatics and Statistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Jing WangDepartment of Bioinformatics and Statistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Kerrie B BoukerLombardi Comprehensive Cancer Center, Georgetown University, Washington, DC.ORCID 0000-0002-4896-9692
John L CaseyDepartment of Microorganism and Immunology, Georgetown University School of Medicine, Washington, DC.
Michael B AtkinsDepartment of Oncology, Georgetown University, Washington, DC.
Jeffrey ToretskyDepartment of Oncology, Georgetown University, Washington, DC.
Cecil HanDepartment of Oncology, Georgetown University, Washington, DC. ch1182@georgetown.edu.ORCID 0000-0001-6276-168X
Georgetown University · USThe University of Texas MD Anderson Cancer Center · USIndiana University – Purdue University Indianapolis · US

Funding

Dissection of EWS-FLI1 oncogenic mechanisms and small molecule targetingR01CA233619 · NCI · GEORGETOWN UNIVERSITY · PI TORETSKY, JEFFREY A · 2020 to 2025
$1.9M
Targeting cellular double-stranded RNA homeostasis in breast cancerR01CA262418 · NCI · GEORGETOWN UNIVERSITY · PI HAN, CECIL · 2021 to 2025
$1.8M
Role of DEAD-box helicase 1 in microRNA biogenesis and cancerR00CA197487 · NCI · GEORGETOWN UNIVERSITY · PI HAN, CECIL · 2018 to 2020
$707k
Role of DEAD-box helicase in microRNA biogenesis and CancerK99CA197487 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HAN, CECIL · 2016 to 2017
$203k
NCI NIH HHS K99 CA197487NCI NIH HHS R00 CA197487NCI NIH HHS R01 CA233619NCI NIH HHS R01 CA262418
6 · The paper itself

Abstract

Induction of nucleic acid sensing-mediated type I interferon (IFN) has emerged as a novel approach to activate the immune system against cancer. Here we show that the depletion of DEAD-box RNA helicase 3X (DDX3X) triggers a tumor-intrinsic type I IFN response in breast cancer cells. Depletion or inhibition of DDX3X activity led to aberrant cytoplasmic accumulation of cellular endogenous double-stranded RNAs (dsRNA), which triggered type I IFN production through the melanoma differentiation-associated gene 5 (MDA5)-mediated dsRNA-sensing pathway. Furthermore, DDX3X interacted with dsRNA-editing ADAR1 and dual depletion of DDX3X and ADAR1 synergistically activated the cytosolic dsRNA pathway in breast cancer cells. Loss of DDX3X in mouse mammary tumors enhanced antitumor activity by increasing the tumor-intrinsic type I IFN response, antigen presentation, and tumor infiltration of cytotoxic T and dendritic cells. These findings may lead to the development of a novel therapeutic approach for breast cancer by targeting DDX3X in combination with immune-checkpoint blockade. SIGNIFICANCE: This study elucidates the novel role of DDX3X in regulating endogenous cellular dsRNA homeostasis and type I IFN signaling in breast cancer. GRAPHICAL ABSTRACT: http://cancerres.aacrjournals.org/content/canres/81/13/3607/F1.large.jpg.

Indexed as

Gene Expression Regulation, NeoplasticAnimalsApoptosisBiomarkers, TumorBreast NeoplasmsCell ProliferationDEAD-box RNA HelicasesFemaleHumansImmunity, InnateInterferon-Induced Helicase, IFIH1Interferon Type IMiceMice, Inbred BALB CMice, NudePrognosisBiomarkers, TumorDDX3X protein, humanDEAD-box RNA HelicasesIFIH1 protein, humanInterferon-Induced Helicase, IFIH1Interferon Type IRNA, Double-Stranded

Identifiers

PMID33941613
PMCPMC8597981
OpenAlexW3158054786

What OpenQuestion holds

Textmetadata
LicenceTDM
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.