Evidence map›Paper›PMID 34504297›Full record

ArticleOncogene2021

Intron retention-induced neoantigen load correlates with unfavorable prognosis in multiple myeloma.

Chuanpeng Dong, Annamaria Cesarano, Giuseppe Bombaci, Jill L Reiter, Christina Y Yu, Yue Wang, Zhaoyang Jiang, Mohammad Abu Zaid, Kun Huang, Xiongbin Lu and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Oncogene, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
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  6. Chasing the Ghost Proteome in the Dark Matter.Molecular & cellular proteomics : MCP · 2025
    Review
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  8. Article
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  15. Article
  16. Review
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  18. Article
  19. Neoantigens: promising targets for cancer therapy.Signal transduction and targeted therapy · 2023
    Review
  20. 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

13 authors at 4 institutions in 1 country.

Chuanpeng DongCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.ORCID http://orcid.org/0000-0001-5068-0495
Annamaria CesaranoDepartment of Medicine, School of Medicine, Indiana University, Indianapolis, IN, 46202, USA.
Giuseppe BombaciDepartment of Medicine, School of Medicine, Indiana University, Indianapolis, IN, 46202, USA.
Jill L ReiterCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.ORCID http://orcid.org/0000-0001-5460-2355
Christina Y YuDepartment of Medicine, School of Medicine, Indiana University, Indianapolis, IN, 46202, USA.
Yue WangCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.ORCID http://orcid.org/0000-0003-4671-8547
Zhaoyang JiangCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Mohammad Abu ZaidDepartment of Medicine, School of Medicine, Indiana University, Indianapolis, IN, 46202, USA.
Kun HuangCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.ORCID http://orcid.org/0000-0002-8530-370X
Xiongbin LuCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.ORCID http://orcid.org/0000-0002-7987-9825
Brian A WalkerCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.ORCID http://orcid.org/0000-0002-8615-6254
Fabiana PernaDepartment of Medicine, School of Medicine, Indiana University, Indianapolis, IN, 46202, USA. fabperna@iu.edu.ORCID http://orcid.org/0000-0002-3744-8672
Yunlong LiuCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA. yunliu@iu.edu.ORCID http://orcid.org/0000-0002-2699-626X
Indiana University Health · USIndiana University Indianapolis · USIndiana University School of MedicineZionsville Community High School · US

Funding

Tumor Microenvironment and Metastasis ProgramP30CA082709 · NCI · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI Sara K Quinney · 1999 to 2026
$59.3M
Project-005U54DK106846 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Reuben Kapur, Karen Elizabeth Pollok · 2015 to 2026
$9.7M
NCI NIH HHS P30 CA082709NIDDK NIH HHS U54 DK106846
6 · The paper itself

Abstract

Neoantigen peptides arising from genetic alterations may serve as targets for personalized cancer vaccines and as positive predictors of response to immune checkpoint therapy. Mutations in genes regulating RNA splicing are common in hematological malignancies leading to dysregulated splicing and intron retention (IR). In this study, we investigated IR as a potential source of tumor neoantigens in multiple myeloma (MM) patients and the relationship of IR-induced neoantigens (IR-neoAg) with clinical outcomes. MM-specific IR events were identified in RNA-sequencing data from the Multiple Myeloma Research Foundation CoMMpass study after removing IR events that also occurred in normal plasma cells. We quantified the IR-neoAg load by assessing IR-induced novel peptides that were predicted to bind to major histocompatibility complex (MHC) molecules. We found that high IR-neoAg load was associated with poor overall survival in both newly diagnosed and relapsed MM patients. Further analyses revealed that poor outcome in MM patients with high IR-neoAg load was associated with high expression levels of T-cell co-inhibitory molecules and elevated interferon signaling activity. We also found that MM cells exhibiting high IR levels had lower MHC-II protein abundance and treatment of MM cells with a spliceosome inhibitor resulted in increased MHC-I protein abundance. Our findings suggest that IR-neoAg may represent a novel biomarker of MM patient clinical outcome and further that targeting RNA splicing may serve as a potential therapeutic strategy to prevent MM immune escape and promote response to checkpoint blockade.

Indexed as

Antigens, NeoplasmBiomarkers, TumorCell Line, TumorFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansIntronsMaleMultiple MyelomaMutationPrognosisRNA SplicingSequence Analysis, RNASurvival AnalysisAntigens, NeoplasmBiomarkers, Tumor

Identifiers

PMID34504297
PMCPMC8426332
OpenAlexW3197634440

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.