Evidence map›Paper›PMID 40745160›Full record

ArticleNature communications2025

Mogat1 drives metabolic adaptations to evade immune surveillance.

Huan Wei, Congyi Niu, Yue Shi, Yingfei Fang, Chengheng Yang, Jian Liu, Zhenjie Xu

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Huan Wei *School of Basic Medical Science, Fudan University, Shanghai, China.
Congyi Niu *School of Basic Medical Science, Fudan University, Shanghai, China.
Yue Shi *School of Life Sciences, Fudan University, Shanghai, China.
Yingfei FangSchool of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Chengheng YangSchool of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Jian LiuDepartment of Breast Surgery, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.
Zhenjie XuSchool of Life Sciences, Westlake University, Hangzhou, Zhejiang, China. xuzhenjie@westlake.edu.cn.ORCID http://orcid.org/0000-0002-5430-0346

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint blockade (ICB) therapies for solid tumors often fail due to resistance, necessitating new strategies. While efforts target IFNγ signaling or antigen presentation, other immune evasion mechanisms are unclear. Here, we identify Monoacylglycerol O-Acyltransferase 1 (Mogat1) as a critical modulator of tumor immune evasion using an in vivo transcriptomic screen in progressing tumors. We find that tumors exploit Mogat1 to sequester fatty acids into triglycerides, a metabolic adaptation that fuels growth and fosters an immunosuppressive microenvironment, enabling immune escape. Genetic inhibition of Mogat1 suppresses tumor growth by promoting T-cell infiltration and enhancing their tumor-killing ability. Importantly, Mogat1 loss sensitizes tumors to PD-1 blockade, overcoming resistance and suggesting reduced reliance on conventional antigen presentation. Our findings reveal a lipid metabolism-centered immune evasion mechanism and highlight Mogat1 as a potential target to improve cancer immunotherapy.

Indexed as

AcyltransferasesImmunologic SurveillanceNeoplasmsTumor EscapeAnimalsCell Line, TumorFatty AcidsFemaleHumansImmune Checkpoint InhibitorsLipid MetabolismMiceMice, Inbred C57BLMice, KnockoutProgrammed Cell Death 1 ReceptorT-LymphocytesAcyltransferasesFatty AcidsImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorTriglycerides

Identifiers

PMID40745160
PMCPMC12314084

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.