Evidence mapPaperPMID 41840707Full record

ReviewMolecular cancer2026

Targeting cholesterol-driven immunometabolism in cancer: from molecular circuits to clinical translation.

Qiang Ma, Bonan Chen, Tingting Li, Yanhui Lu, Xiaoguang Li

Abstract readReview
In one paragraph

Review in Molecular cancer, 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

5 authors.

Qiang MaState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Bonan ChenDepartment of Anatomical and Cellular Pathology, State Key Laboratory of Translational Oncology, Sir Y.K. Pao Cancer Center, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Tingting LiShanghai University of Medicine & Health Sciences, Shanghai, China.
Yanhui LuSchool of Nursing, Peking University, Beijing, 100191, China. luyanhui@bjmu.edu.cn.
Xiaoguang LiState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China. lixg@shsmu.edu.cn.

Funding

Innovative research team of high-level local universities in Shanghai and Shanghai Jiao Tong University Key Program of Medical Engineering YG2021ZD01Natural Science Foundation of Shanghai 23ZR1435900the National Natural Science Foundation of China 82574086
6 · The paper itself

Abstract

Cholesterol integrates membrane organization, oncogenic signaling, and tumor immune regulation. Consistent with this central role, cholesterol homeostasis is frequently rewired in cancer, and dysregulated cholesterol metabolism is increasingly recognized as a key contributor to tumor initiation and progression. Accumulating evidence indicates a mutually reinforcing interplay between oncogenic pathways and cholesterol metabolism: malignant transformation upregulates cholesterol biosynthesis and related homeostatic programs, and the ensuing metabolic reprogramming supports tumor growth, metastatic competence, and immune evasion. Beyond serving as structural components of cellular membranes in proliferating cells, cholesterol and its derivatives can act as signaling mediators that reshape membrane microdomains, reprogram oncogenic circuitry, and modulate stress-adaptation pathways in a context-dependent manner. Importantly, cholesterol metabolism is also remodeled in immune cells within the tumor microenvironment, where alterations in sterol flux and oxysterol signaling can influence antigen presentation, T-cell activation versus dysfunction, and myeloid polarization, thereby shaping responses to immunotherapy. Although cholesterol metabolism represents a promising therapeutic target, clinical translation of cholesterol-modulating agents remains limited. Key obstacles include the poor tumor specificity of current drugs (e.g., statins and cholesterol absorption inhibitors), cancer cell metabolic plasticity, and context-dependent tumor-immune interactions. Emerging next-generation strategies encompass enzymatic inhibitors, targeted delivery platforms, and gene-editing systems. While these approaches show promising preclinical results, their clinical translation demands systematic optimization, pharmacodynamic biomarker development, and patient stratification aligned with precision oncology principles. This review synthesizes mechanistic links between cholesterol-driven metabolic rewiring and cancer and critically appraises preclinical and clinical advances, including representative clinical trials combining cholesterol-lowering interventions with systemic anti-cancer therapies.

Indexed as

CholesterolNeoplasmsAnimalsAntineoplastic AgentsHumansImmunotherapyMetabolic ReprogrammingMolecular Targeted TherapySignal TransductionTranslational Research, BiomedicalTumor MicroenvironmentAntineoplastic AgentsCholesterolCholesterol metabolismImmunometabolismPrecision oncologyTumor microenvironment

Identifiers

PMID41840707
PMCPMC13104250

What Socratic 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 Socratic graph.