Cited by 579RNA Research and SplicingCancer-related molecular mechanisms researchRNA regulation and disease

RNA splicing dysregulation and the hallmarks of cancer

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Bradley, Robert K., Anczuków, Olga·2023·Nature Reviews Cancer

Abstract

Dysregulated RNA splicing is a molecular feature that characterizes almost all tumour types. Cancer-associated splicing alterations arise from both recurrent mutations and altered expression of trans-acting factors governing splicing catalysis and regulation. Cancer-associated splicing dysregulation can promote tumorigenesis via diverse mechanisms, contributing to increased cell proliferation, decreased apoptosis, enhanced migration and metastatic potential, resistance to chemotherapy and evasion of immune surveillance. Recent studies have identified specific cancer-associated isoforms that play critical roles in cancer cell transformation and growth and demonstrated the therapeutic benefits of correcting or otherwise antagonizing such cancer-associated mRNA isoforms. Clinical-grade small molecules that modulate or inhibit RNA splicing have similarly been developed as promising anticancer therapeutics. Here, we review splicing alterations characteristic of cancer cell transcriptomes, dysregulated splicing's contributions to tumour initiation and progression, and existing and emerging approaches for targeting splicing for cancer therapy. Finally, we discuss the outstanding questions and challenges that must be addressed to translate these findings into the clinic.

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  • Dysregulation of RNA processing and miRNA-mediated gene silencing is associated with an increasing number of human diseases, including cancer.

    “and their dysregulation is associated with an increasing number of human diseases, including cancer (Manning and Cooper 2017; Bradley and Anczuków 2023; Rogalska et al. 2023).”

    From ESRP2–microRNA-122 axis promotes the postnatal onset of liver polyploidization and maturation (2025) · cites this paper as Bradley and Anczuków 2023

    The Introduction and Abstract link dysregulated RNA splicing to cancer, describing splicing abnormalities across tumors. They do not establish the claim about miRNA-mediated gene silencing or an increasing number of human diseases; the paper focuses on splicing and cancer. Page numbers are unavailable in our copy. (LLM, conf=0.88)

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Sorted by citations

Authors
Bradley, R. K., & Anczuków, O.
Affiliations
  • Fred Hutch Cancer Center (US)
  • The Jackson Laboratory for Genomic Medicine (US)
Corresponding author
  • Bradley, Robert K.
  • Anczuków, Olga
Venue
Nature Reviews Cancer
Published
2023-01-10
Volume
23
Issue
3
Pages
135-155
ISSN
  • 1474-175X (ISSN-L)
  • 1474-1768
OpenAlex
W4315475728
Cited by
579
References
16
Citations by year
2026: 169 · 2025: 201 · 2024: 164 · 2023: 44 · 2022: 1
FWCI
15.74
Type
journal article
Language
en
Open access
Locations
  • Nature reviews. Cancer (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • The Mouseion at the JAXlibrary (Jackson Laboratory) (submittedVersion)
Funders
  • National Institutes of Health (CA 034196)
  • National Heart, Lung, and Blood Institute (HL128239, R01HL128239, R01HL151651)
  • National Cancer Institute (CA-034196, R01CA251138, R01CA248317, P30CA034196)
  • National Institute of General Medical Sciences (R01GM138541)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
Keywords
cancer hallmarks, carcinogenesis, alternative splicing, splicing mutation, splicing factors, metastasis, chemoresistance, immune evasion, tumor progression
MeSH terms
Cell Transformation, Neoplastic, Humans, Neoplasms, RNA Splicing, Alternative Splicing, Protein Isoforms, Carcinogenesis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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