Evidence map›Paper›PMID 40380260›Full record

ArticleJournal of translational medicine2025

Single-cell transcriptomics reveals metabolic remodeling and functional specialization in the immune microenvironment of bone tumors.

Jun Chen, Na Cui, Shao-Hui He, Chun-Yan Xia, Wei-Qing Li

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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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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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.

Jun ChenDepartment of Pathology, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China.
Na CuiDepartment of Pathology, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China.
Shao-Hui HeDepartment of Orthopaedic Oncology, No.905 Hospital of People's Liberation Army Navy, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China.
Chun-Yan XiaDepartment of Pathology, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China.
Wei-Qing LiDepartment of Pathology, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China. liweiqingblk@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the metabolic remodeling and functional specialization of immune cells within the tumor microenvironment (TME) of bone tumors, including Ewing's sarcoma, osteosarcoma, and giant cell tumor of bone, through high-resolution single-cell RNA sequencing (scRNA-seq) analysis.

methodsImmune cells were isolated from 13 bone tumor samples and profiled via scRNA-seq to delineate cellular compositions, metabolic adaptations, and intercellular communication networks. Differential gene expression analysis, metabolic pathway enrichment, and pseudotime trajectory inference were employed to characterize functional states and differentiation processes of immune cell subsets.

resultsWe identified 12 major immune cell clusters with distinct functional and metabolic characteristics. Naïve T cells exhibited amino acid metabolism-dependent activation potential, whereas NK cells relied on lipid metabolism and the TCA cycle for cytotoxic activity. Macrophage subsets demonstrated functional divergence: C06 macrophages adopted lipid metabolism to facilitate immunosuppression and tissue repair, while C04 macrophages displayed pro-inflammatory characteristics associated with complement activation. Intercellular signaling analysis revealed FN1 as a central regulator of immune coordination, governing cell adhesion, migration, and homeostasis within the TME.

conclusionThis study provides novel insights into the metabolic and functional plasticity of immune cells in bone tumor TMEs, underscoring the critical role of metabolic remodeling in immune regulation. Our findings highlight potential therapeutic targets for modulating immune cell function and offering new avenues to improve treatment outcomes for patients with bone tumors.

Indexed as

Bone NeoplasmsGene Expression ProfilingSingle-Cell AnalysisTranscriptomeTumor MicroenvironmentFemaleGene Expression Regulation, NeoplasticHumansMacrophagesBone tumorsImmune microenvironmentMetabolic remodelingScRNA-seq

Identifiers

PMID40380260
PMCPMC12084933

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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.