Evidence map›Paper›PMID 35148169›Full record

ArticleJCO clinical cancer informatics2022

Intron-Retention Neoantigen Load Predicts Favorable Prognosis in Pancreatic Cancer.

Chuanpeng Dong, Jill L Reiter, Edward Dong, Yue Wang, Kelvin P Lee, Xiongbin Lu, Yunlong Liu

Open access · hybridAbstract read
In one paragraph

Article in JCO clinical cancer informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.0field-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

17 citing papers in PubMed, 10 citations in OpenAlex.

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  10. Chasing the Ghost Proteome in the Dark Matter.Molecular & cellular proteomics : MCP · 2025
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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

7 authors at 2 institutions in 1 country.

Chuanpeng DongCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN.ORCID 0000-0001-5068-0495
Jill L ReiterCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN.ORCID 0000-0001-5460-2355
Edward DongCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN.ORCID 0000-0001-5888-699X
Yue WangDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN.ORCID 0000-0003-4671-8547
Kelvin P LeeDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN.
Xiongbin LuCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN.ORCID 0000-0002-7987-9825
Yunlong LiuCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN.
Indiana University School of MedicineIndiana University Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHigh tumor mutation burden (TMB) in many cancer types is associated with the production of tumor-specific neoantigens, a favorable outcome and response to immune checkpoint blockade (ICB) therapy. Besides mutation-derived neoantigens, aberrant intron retention also produces tumor neopeptides that could trigger an immune response. The relationship between intron-retention-derived tumor neoantigens (IR-neoAg) and clinical outcomes in pancreatic cancer remains uncertain. Here, we quantify IR-neoAg in pancreatic cancer and evaluate whether IR-neoAg load might serve as a biomarker for selecting patients who may benefit from ICB therapy.

methodsWe developed a computational approach to estimate patient-specific IR-neoAg load from transcriptome data available in The Cancer Genome Atlas pancreatic cancer cohort. Associations between IR-neoAg load and patient overall survival were evaluated using Kaplan-Meier estimates and Cox regression. Differential expression of immune checkpoint and

resultsHigh IR-neoAg load predicted better overall survival in pancreatic cancer, although no association was found for TMB. IR-neoAg load remained a significant prognostic factor after adjusting for patient age, sex, tumor stage and grade, and TMB. Moreover, pancreatic tumors with both high IR-neoAg load and high

conclusionIR-neoAg load is associated with favorable survival in pancreatic cancer. These findings provide strong evidence for considering IR-neoAgs when selecting patients who might benefit from ICB therapy.

Indexed as

Pancreatic NeoplasmsHumansIntronsMutationPrognosis

Identifiers

PMID35148169
PMCPMC8846286
OpenAlexW4210982924

What OpenQuestion holds

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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.