Evidence map›Paper›PMID 39699517›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2025

Comparison of Shared Class I HLA-Bound Noncanonical Neoepitopes between Normal and Neoplastic Tissues of Pancreatic Adenocarcinoma.

Tengyi Zhang, Betul Celiker, Yingkuan Shao, Jessica Gai, Mark Hill, Chunyu Wang, Lei Zheng

Abstract readComparative Study
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. A pan-cancer atlas of therapeutic T cell targets.bioRxiv : the preprint server for biology · 2025
    Article
  3. Shared HLA-Bound Neoepitopes Are New Targets for Pancreatic Cancer Immunotherapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    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

7 authors.

Tengyi ZhangSidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0009-0002-1421-6729
Betul CelikerSidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0009-0009-4248-2662
Yingkuan ShaoSidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0001-9683-5691
Jessica GaiSidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0009-0007-3291-7832
Mark HillImmuno-Oncology Discovery and Translational Medicine, Bristol Myers Squibb Company, Seattle, Washington.ORCID 0009-0009-1979-6428
Chunyu WangDepartment of Biological Sciences, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York.ORCID 0000-0001-5165-7959
Lei ZhengSidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0003-4163-2541

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI WILLIAM George NELSON · 1985 to 2026
$208.6M
Tumor Antigens for Individual Signatures and TherapyP50CA062924 · NCI · JOHNS HOPKINS UNIVERSITY · PI JAFFEE, ELIZABETH M. · 1993 to 2022
$54.6M
Transforming Human Pancreatic Cancer Into An Immunologic DiseaseP01CA247886 · NCI · JOHNS HOPKINS UNIVERSITY · PI ANDERS, ROBERT A. · 2021 to 2025
$12.7M
Targeting the Immunosuppressive Tumor Microenvironment of Pancreatic Cancer with a Neoadjuvant Platform Clinical TrialR01CA197296 · NCI · JOHNS HOPKINS UNIVERSITY · PI William Reece Burns, Eric Christenson · 2015 to 2026
$5.7M
Interrogate the interaction between tumor cells and nerves in the tumor microenvironment of pancreatic cancerR01CA169702 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI ZHENG, LEI · 2013 to 2023
$3.6M
NCI NIH HHS P01 CA247886NCI NIH HHS P30 CA006973NCI NIH HHS P50 CA062924NCI NIH HHS R01 CA169702NCI NIH HHS R01 CA197296
6 · The paper itself

Abstract

purposeDeveloping T-cell or vaccine therapies for pancreatic ductal adenocarcinoma (PDAC) has been challenging because of a lack of knowledge regarding immunodominant, cancer-specific antigens as PDAC are characterized by a scarcity of genomic mutation-associated neoepitopes, and effective approaches to discover them are limited. EXPERIMENTAL

designAn advanced mass spectrometry approach was employed to compare the immunopeptidome of PDAC tissues and matched normal tissues from the same patients.

resultsThis study identified HLA class I-binding variant peptides derived from canonical proteins, which had single amino-acid substitutions not attributed to genetic mutations or RNA editing. These amino-acid substitutions appeared to result from translational errors. The variant peptides were predominantly found in tumor tissues, with certain peptides common among multiple patients. Importantly, several of these variant peptides were more immunogenic than their wild-type counterparts.

conclusionsThe shared noncanonical neoepitopes identified in this study offer promising candidates for vaccine and T-cell therapy development, potentially providing new avenues for immunotherapy in PDAC. See related commentary by Yuan et al., p. 1821.

Indexed as

AdenocarcinomaAntigens, NeoplasmCarcinoma, Pancreatic DuctalEpitopesHistocompatibility Antigens Class IPancreatic NeoplasmsFemaleHumansMaleProtein BindingAntigens, NeoplasmEpitopesHistocompatibility Antigens Class I

Identifiers

PMID39699517
PMCPMC12079097

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.