Evidence map›Paper›PMID 41053742›Full record

ArticleJournal of translational medicine2025

Deciphering metabolic reprogramming of immune cells within the tumor microenvironment.

Yinping Wang, Weijie Chen, Zida Wang, Siwen Cai, Xinnan Zhao, Jingsi Jin, Ting Gao, Junwen Qu

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. 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

8 authors.

Yinping Wang *Department of Biliary-Pancreatic Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Weijie Chen *Department of General Practice, Nanhui New Town Community Health Service Center, Pudong New Area, Shanghai, China.
Zida Wang *Department of Emergency Medicine, School of Medicine, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
Siwen CaiShanghai Jiao Tong University School of Medicine, Shanghai, China.
Xinnan ZhaoDepartment of Anatomy, College of Basic Medical Sciences, Dalian Medical University, Dalian, Liaoning, China.
Jingsi JinPrecision Research Center for Refractory Diseases, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. jingsi_jin0137@163.com.
Ting GaoDepartment of Emergency, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. gaoting0205@163.com.
Junwen QuDepartment of Urology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. junwenqu@163.com.ORCID 0000-0001-6146-4720

Funding

China Postdoctoral Science Foundation 2024M752056National Natural Science Foundation of China 82400887
6 · The paper itself

Abstract

backgroundImmunometabolic adaptations may induce tumor immune escape and immunotherapeutic resistance, representing crucial mechanisms in cancer progression. Understanding the metabolic rewiring of tumor-infiltrating immune cells as tumors advance could enhance current immune-oncology treatments.

methodsIn this study, we investigated metabolic heterogeneity in immune cells within both tumor and adjacent normal tissue using single-cell transcriptome profiling of colon cancer. We also utilized the MC38 colorectal cancer model, a commonly employed mouse tumor model, to assess the metabolic atlas of major immune cell populations in tumor and normal tissue.

resultsWe examined the immunometabolic features in tumor tissue and adjacent normal tissue using public single-cell transcriptomic datasets of colorectal cancer (CRC) patients, in which myeloid cells showed dominant metabolic activity. Using a mouse tumor model, we demonstrated distinct metabolic reprogramming of major immune cell types in tumor compared to normal tissue. Specifically, we observed increased glucose and lipid uptake, along with abundant lipid accumulation in tumor-infiltrating myeloid cells, particularly macrophages. Additionally, we identified diverse mitochondrial fitness and oxidative stress levels within the tumor immune microenvironment. Macrophages exhibited metabolic fitness, CD8

conclusionOverall, our study unveils the heterogeneity and dynamics of metabolic properties in immune cells within the tumor microenvironment. These findings provide insights for developing therapeutic strategies that target metabolism to enhance antitumor immunity.

Indexed as

Cellular ReprogrammingTumor MicroenvironmentAnimalsCell Line, TumorColorectal NeoplasmsHumansMacrophagesMetabolic ReprogrammingMiceMitochondriaMyeloid CellsOxidative StressColon cancerImmune metabolismTumor-associated macrophageTumor microenvironment

Identifiers

PMID41053742
PMCPMC12502548

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.