Evidence map›Paper›PMID 37649123›Full record

ReviewMolecular cancer2023

The screening, identification, design and clinical application of tumor-specific neoantigens for TCR-T cells.

Jiangping Li, Zhiwen Xiao, Donghui Wang, Lei Jia, Shihong Nie, Xingda Zeng, Wei Hu

Open access · goldAbstract readReview
In one paragraph

Review in Molecular cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
14.5field-weighted citation impact, top 1% 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

53 citing papers in PubMed, 63 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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  5. Article
  6. Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  7. Review
  8. Repurposing public sarcoma multi-omics for neoantigen discovery.Cancer immunology, immunotherapy : CII · 2026
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Computational Methods for Cancer Neoantigen Prediction.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  20. 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 at 4 institutions in 1 country.

Jiangping LiDivision of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China. lijiangping@wchscu.cn.
Zhiwen XiaoDepartment of Otolaryngology Head and Neck Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510655, People's Republic of China.
Donghui WangDepartment of Radiation Oncology, The Third Affiliated Hospital Sun Yat-Sen University, Guangzhou, 510630, People's Republic of China.
Lei JiaInternational Health Medicine Innovation Center, Shenzhen University, Shenzhen, 518060, People's Republic of China.
Shihong NieDepartment of Radiation Oncology, West China Hospital, Sichuan University, Cancer Center, Chengdu, 610041, People's Republic of China.
Xingda ZengDepartment of Parasitology of Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
Wei HuDivision of Vascular Surgery, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, People's Republic of China.
Sun Yat-sen University · CNSichuan University · CNShenzhen University Health Science Center · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in neoantigen research have accelerated the development of tumor immunotherapies, including adoptive cell therapies (ACTs), cancer vaccines and antibody-based therapies, particularly for solid tumors. With the development of next-generation sequencing and bioinformatics technology, the rapid identification and prediction of tumor-specific antigens (TSAs) has become possible. Compared with tumor-associated antigens (TAAs), highly immunogenic TSAs provide new targets for personalized tumor immunotherapy and can be used as prospective indicators for predicting tumor patient survival, prognosis, and immune checkpoint blockade response. Here, the identification and characterization of neoantigens and the clinical application of neoantigen-based TCR-T immunotherapy strategies are summarized, and the current status, inherent challenges, and clinical translational potential of these strategies are discussed.

Indexed as

Cancer VaccinesNeoplasmsHumansProspective StudiesReceptors, Antigen, T-CellT-LymphocytesCancer VaccinesReceptors, Antigen, T-CellACTImmunotherapyNeoantigenTCR-TTSA

Identifiers

PMID37649123
PMCPMC10466891
OpenAlexW4386290271

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.