Evidence mapPaperPMID 42558878Full record

ReviewFrontiers in immunology2026

Obesity-induced metabolic reprogramming of the tumor immune microenvironment: mechanisms, spatial niches, and immunotherapy response.

Yikang Xu, Jiaxing Yang

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Yikang XuDepartment of Gastrointestinal and Colorectal Surgery, General Surgery, The First Hospital of Jilin University, Changchun, Jilin, China.
Jiaxing YangDepartment of Gastrointestinal and Colorectal Surgery, General Surgery, The First Hospital of Jilin University, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a major global health challenge and an established risk factor for cancer. Beyond increasing tumor incidence, obesity reshapes the tumor immune microenvironment (TIME) through systemic metabolic reprogramming, adipokine dysregulation, chronic inflammation, and gut microbiota alterations. These systemic changes create spatially organized immunosuppressive metabolic niches, including adipocyte-rich, hypoxic/lactate-enriched, myeloid-dense, and CAF/ECM barrier regions. Such niches restrict effector T-cell and NK-cell function while supporting regulatory T cells, tumor-associated macrophages (TAMs), and myeloid-derived suppressor cells (MDSCs), collectively promoting tumor progression and therapy resistance. Obesity also generates context-dependent effects on immune checkpoint blockade (ICB), a phenomenon known as the "obesity paradox, " in which immune suppression coexists with increased checkpoint dependency. Understanding how obesity modulates tumor cell metabolism, immune-cell metabolic fitness, and stromal remodeling is essential for designing effective interventions. Therapeutic strategies combining metabolic modulation, ICB, lifestyle intervention, and microbiota-targeted therapies may convert obesity-driven immune suppression into actionable vulnerabilities. Integrating systemic metabolic indicators, immune-cell signatures, and spatial biomarkers will enable precision stratification of patients and inform combination immunotherapy strategies in obesity-associated cancers.

Indexed as

ImmunotherapyNeoplasmsObesityTumor MicroenvironmentAnimalsHumansImmune Checkpoint InhibitorsMetabolic ReprogrammingImmune Checkpoint Inhibitorsimmune checkpoint blockade (ICB)metabolic reprogrammingobesityspatial immunometabolic nichestumor immune microenvironment (TIME)

Identifiers

PMID42558878
PMCPMC13438420

What Socratic 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 Socratic graph.