Evidence mapPaperPMID 42445385Full record

ArticleTranslational cancer research2026

Single-cell mitophagy patterns dictate intercellular crosstalk in the tumor microenvironment to promote osteosarcoma progression.

Wei Shi, Lei Zhang, Liying Mei, Chengqi Zhang, Lei Liu, Nan Zhao, Qingyu Liu

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Article in Translational cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Wei Shi *Department of Orthopedics, The 964th Hospital of Joint Logistic Support Force of PLA, Changchun, China.
Lei Zhang *Department of Orthopedics, The 964th Hospital of Joint Logistic Support Force of PLA, Changchun, China.
Liying MeiDepartment of Outpatient, The 964th Hospital of Joint Logistic Support Force of PLA, Changchun, China.
Chengqi ZhangDepartment of Orthopedics, The 964th Hospital of Joint Logistic Support Force of PLA, Changchun, China.
Lei LiuDepartment of Orthopedics, The 964th Hospital of Joint Logistic Support Force of PLA, Changchun, China.
Nan ZhaoDepartment of Pharmacy, The 964th Hospital of Joint Logistic Support Force of PLA, Changchun, China.
Qingyu LiuDepartment of Orthopedics, The 964th Hospital of Joint Logistic Support Force of PLA, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteosarcoma (OS) is a highly aggressive primary bone malignancy in adolescents, with poor prognosis due to limited diagnostic and therapeutic strategies. Mitochondrial dysfunction is a hallmark of cancer, and mitophagy, the selective clearance of damaged mitochondria, critically maintains cellular homeostasis. However, the specific role of mitophagy in shaping the OS tumor microenvironment (TME) at single-cell resolution remains poorly understood. This study aims to systematically characterize mitophagy patterns within the OS TME and investigate their impact on intercellular communication, tumor progression, and patient prognosis. Methods: We analyzed single-cell RNA sequencing data from OS samples using non-negative matrix factorization to cluster cells based on mitophagy-related genes. We characterized distinct mitophagy-associated subtypes of TME cells. Pseudotime trajectory, cell-cell communication), gene regulatory network, and functional enrichment analyses were performed. Prognostic significance was evaluated using GSVA and Cox regression in bulk RNA-seq cohort. Immunotherapy response was predicted using the TIDE algorithm. Results: We identified diverse mitophagy-activated cellular subtypes within the TME. Mitophagy-active CAFs and macrophages exhibited enhanced angiogenic signaling to endothelial cells. Mitophagy-associated CD8+ T cells displayed marked exhaustion features, while macrophages showed metabolic reprogramming. Clinically, higher infiltration of these mitophagy-related subtypes was consistently associated with poorer overall survival. TIDE analysis indicated that mitophagy patterns potentially correlate with immune checkpoint blockade response. Conclusions: Our findings reveal that mitophagy drives complex intercellular crosstalk in the OS TME, promoting angiogenesis and immunosuppression. Mitophagy-related signatures serve as robust prognostic biomarkers. These insights suggest that targeted inhibition of mitophagy, rather than activation, represents a promising therapeutic strategy, providing a novel framework for improving OS patient outcomes.

Indexed as

Mitophagyosteosarcoma (OS)prognosissingle-cell RNA sequencing (scRNA-seq)tumor microenvironment (TME)

Identifiers

PMID42445385
PMCPMC13357079

What Socratic holds

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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.