Evidence map›Paper›PMID 33861991›Full record

ArticleMolecular cell2021

A pan-cancer transcriptome analysis of exitron splicing identifies novel cancer driver genes and neoepitopes.

Ting-You Wang, Qi Liu, Yanan Ren, Sk Kayum Alam, Li Wang, Zhu Zhu, Luke H Hoeppner, Scott M Dehm, Qi Cao, Rendong Yang

Open access · greenAbstract read
In one paragraph

Article in Molecular cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.9field-weighted citation impact, top 3% 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

41 citing papers in PubMed, 73 citations in OpenAlex.

  1. Article
  2. Article
  3. Splicing-driven post-translational dysregulation: a new frontier for precision cancer medicine and immunotherapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
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  13. Article
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  15. Review
  16. Advances in Vaccines for Melanoma.Hematology/oncology clinics of North America · 2024
    Review
  17. Article
  18. Article
  19. Review
  20. Sequence Alignment betweenJournal of personalized medicine · 2024
    Article
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

10 authors at 2 institutions in 1 country.

Ting-You WangThe Hormel Institute, University of Minnesota, Austin, MN 55912, USA.
Qi LiuDepartment of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
Yanan RenThe Hormel Institute, University of Minnesota, Austin, MN 55912, USA.
Sk Kayum AlamThe Hormel Institute, University of Minnesota, Austin, MN 55912, USA.
Li WangThe Hormel Institute, University of Minnesota, Austin, MN 55912, USA.
Zhu ZhuThe Hormel Institute, University of Minnesota, Austin, MN 55912, USA.
Luke H HoeppnerThe Hormel Institute, University of Minnesota, Austin, MN 55912, USA; Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA.
Scott M DehmMasonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA; Departments of Laboratory Medicine and Pathology and Urology, University of Minnesota, Minneapolis, MN 55455, USA.
Qi CaoDepartment of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA. Electronic address: qi.cao@northwestern.edu.
Rendong YangThe Hormel Institute, University of Minnesota, Austin, MN 55912, USA; Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA. Electronic address: yang4414@umn.edu.
University of Minnesota · USNorthwestern University · US

Funding

Targeting FOXA1-downstream pathways: a novel therapeutic strategy for castration-resistant prostate cancerP50CA180995 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ABDULKADIR, SARKI A., HUSSAIN, MAHA H · 2015 to 2025
$19.9M
AR Gene Rearrangements and AR Signaling in Prostate CancerR01CA174777 · NCI · UNIVERSITY OF MINNESOTA · PI Scott M. Dehm · 2013 to 2026
$4.9M
The inhibitory network between EZH2 and PARP1 in triple-negative breast cancerR01CA208257 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CAO, QI · 2017 to 2022
$1.8M
mRNA Polyadenylation in Prostate CancerR01CA244599 · NCI · UNIVERSITY OF MINNESOTA · PI DEHM, SCOTT M. · 2020 to 2020
$386k
NCI NIH HHS P50 CA180995NCI NIH HHS R01 CA174777NCI NIH HHS R01 CA208257NCI NIH HHS R01 CA244599
6 · The paper itself

Abstract

Exitron splicing (EIS) creates a cryptic intron (called an exitron) within a protein-coding exon to increase proteome diversity. EIS is poorly characterized, but emerging evidence suggests a role for EIS in cancer. Through a systematic investigation of EIS across 33 cancers from 9,599 tumor transcriptomes, we discovered that EIS affected 63% of human coding genes and that 95% of those events were tumor specific. Notably, we observed a mutually exclusive pattern between EIS and somatic mutations in their affected genes. Functionally, we discovered that EIS altered known and novel cancer driver genes for causing gain- or loss-of-function, which promotes tumor progression. Importantly, we identified EIS-derived neoepitopes that bind to major histocompatibility complex (MHC) class I or II. Analysis of clinical data from a clear cell renal cell carcinoma cohort revealed an association between EIS-derived neoantigen load and checkpoint inhibitor response. Our findings establish the importance of considering EIS alterations when nominating cancer driver events and neoantigens.

Indexed as

Gene Expression ProfilingOncogenesAmino Acid SequenceCell LineCohort StudiesEpitopesExonsHumansIntronsMutationNeoplasmsRNA SplicingEpitopescancer driver genescheckpoint inhibition immunotherapyexitronGTEximmunopeptidomeneoantigensnon-canonical splicingpan-cancer analysisTCGAtranscriptome alterations

Identifiers

PMID33861991
PMCPMC8141048
OpenAlexW3129061826

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.