Evidence map›Paper›PMID 39090129›Full record

ArticleScientific data2024

MHC-I-presented non-canonical antigens expand the cancer immunotherapy targets in acute myeloid leukemia.

Yangyang Cai, Donghao Li, Dezhong Lv, Jiaxin Yu, Yingying Ma, Tiantongfei Jiang, Na Ding, Zhigang Liu, Yongsheng Li, Juan Xu

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

10 authors.

Yangyang Cai *College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, 150001, China.
Donghao Li *College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, 150001, China.
Dezhong Lv *College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, 150001, China.
Jiaxin YuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, 150001, China.
Yingying MaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, 150001, China.
Tiantongfei JiangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, 150001, China.
Na DingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, 150001, China.
Zhigang LiuAffiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University, Guangzhou, China. whitexblack@163.com.
Yongsheng LiSchool of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin, 150081, China. liyongsheng@ems.hrbmu.edu.cn.ORCID 0000-0003-1914-0727
Juan XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, 150001, China. xujuanbiocc@ems.hrbmu.edu.cn.ORCID 0000-0002-3709-4165

Funding

National Natural Science Foundation of China (National Science Foundation of China) 31970646National Natural Science Foundation of China (National Science Foundation of China) 32060152National Natural Science Foundation of China (National Science Foundation of China) 32170676National Natural Science Foundation of China (National Science Foundation of China) 32322020Natural Science Foundation of Heilongjiang Province ZD2023C007
6 · The paper itself

Abstract

Identification of tumor neoantigens is indispensable for the development of cancer immunotherapies. However, we are still lacking knowledge about the potential neoantigens derived from sequences outside protein-coding regions. Here, we comprehensively characterized the immunopeptidome landscape by integrating multi-omics data in acute myeloid leukemia (AML). Both canonical and non-canonical MHC-associated peptides (MAPs) in AML were identified. We found that the quality and characteristics of ncMAPs are comparable or superior to cMAPs, suggesting ncMAPs are indispensable sources for tumor neoantigens. We further proposed a computational framework to prioritize the neoantigens by integrating additional transcriptome and immunopeptidome in normal tissues. Notably, 6 of prioritized 13 neoantigens were derived from ncMAPs. The expressions of corresponding source genes are highly related to infiltrations of immune cells. Finally, a risk model was developed, which exhibited good performance for clinical prognosis in AML. Our findings expand potential cancer immunotherapy targets and provide in-depth insights into AML treatment, laying a new foundation for precision therapies in AML.

Indexed as

Antigens, NeoplasmImmunotherapyLeukemia, Myeloid, AcuteHistocompatibility Antigens Class IHumansAntigens, NeoplasmHistocompatibility Antigens Class I

Identifiers

PMID39090129
PMCPMC11294462

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.