Evidence map›Paper›PMID 39436255›Full record

ArticleGenomics, proteomics & bioinformatics2025

NeoTCR: An Immunoinformatic Database of Experimentally-supported Functional Neoantigen-specific TCR Sequences.

Weijun Zhou, Wenting Xiang, Jinyi Yu, Zhihan Ruan, Yichen Pan, Kankan Wang, Jian Liu

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2025. 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
–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

17 citing papers in PubMed.

  1. Review
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  13. Biomedical Big Data and Artificial Intelligence in Blood.Genomics, proteomics & bioinformatics · 2025
    Article
  14. Article
  15. Article
  16. TIL Therapy in Lung Cancer: Current Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  17. Review
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.

Weijun ZhouDepartment of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China.ORCID 0000-0002-0137-7382
Wenting XiangCollege of Computer Science, Nankai University, Tianjin 300350, China.ORCID 0000-0002-1313-170X
Jinyi YuShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.ORCID 0000-0002-4548-8447
Zhihan RuanCollege of Computer Science, Nankai University, Tianjin 300350, China.ORCID 0000-0002-2902-0852
Yichen PanCollege of Computer Science, Nankai University, Tianjin 300350, China.ORCID 0000-0002-4541-4261
Kankan WangShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.ORCID 0000-0001-7198-2134
Jian LiuCollege of Computer Science, Nankai University, Tianjin 300350, China.ORCID 0000-0001-5516-0157

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neoantigen-based immunotherapy has demonstrated long-lasting antitumor activity. The recognition of neoantigens by T cell receptors (TCRs) is considered a trigger for antitumor responses. Due to the overwhelming number of TCR repertoires in the human genome, pinpointing neoantigen-specific TCRs is a formidable challenge. Recent studies have identified a number of functional neoantigen-specific TCRs, but the corresponding information is scattered across published literature and is difficult to retrieve. To improve access to these data, we developed an immunoinformatic database (NeoTCR) containing a unified description of publicly available neoantigen-specific TCR sequences, as well as relevant information on targeted neoantigens, from experimentally-supported studies across 17 cancer subtypes. A user-friendly web interface allows interactive browsing and running of complex database queries. To facilitate rapid identification of neoantigen-specific TCRs from raw sequencing data, NeoTCR offers a one-stop analysis for annotation and visualization of TCR clonotypes, discovery of existing neoantigen-specific TCRs, and exclusion of bystander virus-associated TCRs. NeoTCR represents a unique tool to expedite future studies of neoantigen-specific TCRs and the development of neoantigen-based immunotherapy. NeoTCR is available at http://neotcrdb.bioxai.cn/ and https://github.com/lyotvincent/NeoTCR.

Indexed as

Antigens, NeoplasmComputational BiologyDatabases, GeneticReceptors, Antigen, T-CellHumansNeoplasmsSoftwareAntigens, NeoplasmReceptors, Antigen, T-CellCDR3DatabaseImmunotherapyNeoantigenT cell receptor

Identifiers

PMID39436255
PMCPMC13223748

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.