Evidence map›Paper›PMID 40397742›Full record

ArticleScience advances2025

Immunopeptidomics-guided discovery and characterization of neoantigens for personalized cancer immunotherapy.

Yangyang Cai, Manyu Gong, Mengqian Zeng, Feng Leng, Dezhong Lv, Jiyu Guo, Hao Wang, Yapeng Li, Quan Lin, Jing Jing and 3 more

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Integrating multi-omics data for next-generation cancer research and precision medicine.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  14. CIITA/PRMT5 promote CD4BMC medicine · 2026
    Article
  15. Review
  16. Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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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

13 authors.

Yangyang CaiState Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0000-0002-8600-7275
Manyu GongDepartment of Pharmacology (Key Laboratory of Cardiovascular Medicine Research, Ministry of Education), College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang 150081, PR China.ORCID 0009-0006-2883-5159
Mengqian ZengState Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0009-0003-0980-6916
Feng LengState Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0009-0000-0249-3564
Dezhong LvState Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Jiyu GuoState Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), School of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin, Heilongjiang 150081, China.ORCID 0009-0000-0429-4833
Hao WangDepartment of Pharmacology (Key Laboratory of Cardiovascular Medicine Research, Ministry of Education), College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang 150081, PR China.
Yapeng LiThe Second Affiliated Hospital of Harbin Medical University, Harbin 150081, China.ORCID 0000-0003-3292-0824
Quan LinDepartment of Radiation Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150040, China.
Jing JingDepartment of Radiation Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150040, China.
Ying ZhangDepartment of Pharmacology (Key Laboratory of Cardiovascular Medicine Research, Ministry of Education), College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang 150081, PR China.ORCID 0000-0002-9556-361X
Juan XuState Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0000-0002-3709-4165
Yongsheng LiState Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), School of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin, Heilongjiang 150081, China.ORCID 0000-0003-1914-0727

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neoantigens have emerged as ideal targets for personalized cancer immunotherapy. We depict the pan-cancer peptide atlas by comprehensively collecting immunopeptidomics from 531 samples across 14 cancer and 29 normal tissues, and identify 389,165 canonical and 70,270 noncanonical peptides. We reveal that noncanonical peptides exhibit comparable presentation levels as canonical peptides across cancer types. Tumor-specific peptides exhibit significantly distinct biochemical characteristics compared with those observed in normal tissues. We further propose an immunopeptidomic-guided machine learning-based neoantigen screening pipeline (MaNeo) to prioritize neo-peptides as immunotherapy targets. Benchmark analysis reveals MaNeo results in the accurate identification of shared and tumor-specific canonical and noncanonical neo-peptides. Last, we use MaNeo to detect and validate three neo-peptides in cancer cell lines, which can effectively induce increased proliferation of active T cells and T cell responses to kill cancer cells but not damage healthy cells. The pan-cancer peptide atlas and proposed MaNeo pipeline hold great promise for the discovery of canonical and noncanonical neoantigens for cancer immunotherapies.

Indexed as

Antigens, NeoplasmImmunotherapyNeoplasmsPeptidesPrecision MedicineCell Line, TumorHumansMachine LearningProteomicsT-LymphocytesAntigens, NeoplasmPeptides

Identifiers

PMID40397742
PMCPMC12094241

What OpenQuestion holds

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LicenceCC BY-NC
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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.