Evidence map›Paper›PMID 39568154›Full record

ArticleClinical and translational medicine2024

Targeting METTL3 as a checkpoint to enhance T cells for tumour immunotherapy.

Kaixin Wu, Sa Li, Guangliang Hong, Hongzhi Dong, Tongke Tang, He Liu, Lingmei Jin, Siyuan Lin, Jingyun Ji, Mingli Hu and 8 more

Abstract read
In one paragraph

Article in Clinical and translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
  2. Review
  3. The relevance of mJournal of cancer research and clinical oncology · 2026
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. mFrontiers in immunology · 2026
    Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. YTHDFs as radiotherapy checkpoints in tumor immunity.The Journal of experimental medicine · 2025
    Review
  18. Enhancer regulation in cancer: from epigenetics to mArchives of pharmacal research · 2025
    Review
  19. Article
  20. 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

18 authors.

Kaixin WuCenter for Cell Lineage and Atlas, Bioland Laboratory, Guangzhou Regenerative Medicine and Health GuangDong Laboratory, Guangzhou, China.ORCID 0000-0002-5038-0422
Sa LiCenter for Cell Lineage and Development, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Guangliang HongGuangzhou National Laboratory, Guangzhou, China.
Hongzhi DongCenter for Cell Lineage and Development, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Tongke TangCenter for Cell Lineage and Development, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
He LiuCenter for Cell Lineage and Atlas, Bioland Laboratory, Guangzhou Regenerative Medicine and Health GuangDong Laboratory, Guangzhou, China.
Lingmei JinCenter for Cell Lineage and Development, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Siyuan LinGuangzhou National Laboratory, Guangzhou, China.
Jingyun JiMOE Key Laboratory of Gene Function and Regulation, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.
Mingli HuCenter for Cell Lineage and Development, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Shuntian ChenJoint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China.
Haoyuan WuJoint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China.
Guanzheng LuoMOE Key Laboratory of Gene Function and Regulation, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.
Haoyuan WuCenter for Cell Lineage and Development, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Xiangqian KongCenter for Cell Lineage and Development, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Jiekai ChenCenter for Cell Lineage and Atlas, Bioland Laboratory, Guangzhou Regenerative Medicine and Health GuangDong Laboratory, Guangzhou, China.
Jiangping HeThe Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Hongling WuCenter for Cell Lineage and Development, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.

Funding

Basic Research Project of Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences GIBHBRP23-02Guangdong Basic and Applied Basic Research Foundation 2021A1515111044Guangdong Basic and Applied Basic Research Foundation 2022A1515111080Guangdong Natural Science Funds for Distinguished Young Scholar 2023B1515020111Innovation Technology Commission of the Hong Kong SAR, ChinaNational Key Research and Development Program of China 2021YFA1102200National Key Research and Development Program of China 2021YFE0112900National Key Research and Development Program of China 2023YFF1204701National Natural Science Foundation of China 32070794National Natural Science Foundation of China 32100904National Natural Science Foundation of China 32200461National Natural Science Foundation of China 32225012National Natural Science Foundation of China 32370856National Natural Science Foundation of China 82370109Science and Technology Planning Project of Guangdong Province, China 2023B1212060050Science and Technology Planning Project of Guangdong Province, China 2023B1212120009Science and Technology Projects in Guangzhou 2024A04J4823
6 · The paper itself

Abstract

backgroundImmunotherapy has emerged as a crucial treatment modality for solid tumours, yet tumours often evade immune surveillance. There is an imperative to uncover novel immune regulators that can boost tumour immunogenicity and increase the efficacy of immune checkpoint blockade (ICB) therapy. Epigenetic regulators play critical roles in tumour microenvironment remodelling, and N6-methyladenosine (m

methodsSeveral cancer cell lines were treated with STM2457, an enzymatic inhibitor of RNA m

resultsWe demonstrate that inhibiting METTL3 augments tumour immunogenicity and sustains T-cell function, thereby enhancing responsiveness to ICB therapy. Mechanistically, METTL3 inhibition triggers an interferon response within tumour cells, amplifying the anti-tumour immune response, along with deletion of the m

conclusionTargeting METTL3 enhances anti-tumour immunity by boosting T-cell cytotoxicity and reversing T-cell exhaustion. Our study positions METTL3 as an epigenetic checkpoint, highlighting the potential of targeting METTL3 to invigorate intrinsic anti-tumour defenses and overcome immune resistance. KEY POINTS: Targeting METTL3 augments tumour cell immunogenicity and sustains T-cell function. T cell with METTL3 inhibition can reverse T-cell exhaustion, and promote expression of IFNγ and GzmB, thereby enhancing cytotoxicity in anti-PD-1 therapy. YTHDF2 deletion in tumours prolong the lifespan of MHC-I mRNAs.

Indexed as

ImmunotherapyMethyltransferasesTumor MicroenvironmentAdenosineAnimalsCell Line, TumorDisease Models, AnimalHumansMelanoma, ExperimentalMiceMice, Inbred C57BLT-LymphocytesAdenosineMethyltransferasesMETTL3 protein, humanMettl3 protein, mouseN-methyladenosineB16 melanomaimmunotherapyMETTL3N6‐methyladenosine (m6A)T‐cell functionYTHDF2

Identifiers

PMID39568154
PMCPMC11578931

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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.