Evidence map›Paper›PMID 42047819›Full record

ArticleCancer immunology, immunotherapy : CII2026

Integrating single-cell and bulk transcriptomes to reveal prognostic and immunological features of ecDNA-related genes in osteosarcoma.

Jinyan Feng, Jianchao Liu, Houzhi Yang, Yiqin Li, Yao Xu, Xiuxin Han, Chao Zhang, Guowen Wang

Abstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jinyan FengDepartment of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, People's Republic of China.
Jianchao LiuDepartment of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, People's Republic of China.
Houzhi YangDepartment of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, People's Republic of China.
Yiqin LiDepartment of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, People's Republic of China.
Yao XuDepartment of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, People's Republic of China.
Xiuxin HanDepartment of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, People's Republic of China.
Chao ZhangDepartment of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, People's Republic of China. Zhangchao198409@163.com.
Guowen WangDepartment of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, People's Republic of China. wangguowen@tmu.edu.cn.

Funding

National Key Laboratory of Druggability Evaluation and Systematic Translational Medicine QZ23-10National Natural Science Foundation of China 82303076National Natural Science Foundation of China 82472905Science & Technology Development Fund of Tianjin Education Commission for Higher Education 2022KJ225
6 · The paper itself

Abstract

backgroundThe role of extrachromosomal DNA (ecDNA)-related genes in osteosarcoma remains largely unexplored. The aim of this study is to investigate the association between ecDNA-related genes and prognosis and tumor microenvironment (TME) in osteosarcoma.

methodsDifferential gene expression analysis of GEO datasets was conducted to identify ecDNA-related genes in osteosarcoma. Based on bulk RNA-seq data, a novel ecDNA-related Gene Prognostic Score Model (EGPSM) was developed using an integrated framework of 101 machine learning algorithms, which was validated in training, testing, and external cohorts. The associations between risk scores, prognosis, and TME characteristics were comprehensively evaluated. Single-cell RNA sequencing (scRNA-seq) data were further analyzed to elucidate the relationship between EGPSM, pro-tumor behaviors, and immune modulation in osteosarcoma, as well as to identify key prognostic genes involved in tumor progression. Lastly, we conducted in vitro and in vivo assays to characterize the biological roles of MTDH and to elucidate its regulatory effects on CD8⁺ T cell function.

resultsA robust EGPSM was constructed, demonstrating superior predictive accuracy with a maximum C-index of 0.803. High-risk patients exhibited poorer survival, higher metastatic potential, and an "immune-cold" TME characterized by diminished CD8⁺ T/NK cell infiltration and impaired effector functions. Single-cell analysis confirmed the enrichment of malignant cells and depletion of T/NK populations with lower effector scores in the high-risk group. MTDH was identified as a key driver; functional assays showed it promotes proliferation and invasion while inhibiting apoptosis. Notably, MTDH knockdown potentiated CD8⁺ T-cell cytotoxicity by increasing the levels of granzyme B, IFN-γ, and perforin.

conclusionThe newly developed EGPSM represents an effective tool for prognostic assessment and therapeutic stratification in osteosarcoma. MTDH may serve as a promising prognostic biomarker and therapeutic target.

Indexed as

Biomarkers, TumorBone NeoplasmsExtrachromosomal DNAOsteosarcomaTranscriptomeAnimalsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMicePrognosisSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisTumor MicroenvironmentBiomarkers, TumorExtrachromosomal DNAecDNA-related genesMachine learningOsteosarcomaSingle-cell RNA sequencingTumor immune microenvironment

Identifiers

PMID42047819
PMCPMC13125642

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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.