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通过液-液相分离相关基因评估骨肉瘤患者的预后及免疫特征

Prognostic and immunological characterization of osteosarcoma patients evaluated by liquid-liquid phase separation related genes.

作者信息

Zhu Jieyang, Chen Sihui, Yi Jiang, Zhuang Xu, Li Yun, Lou Zhenqi, Zhu Jinyu

机构信息

Department of Orthopedics, First Hospital of Jiaxing, Jiaxing, China.

School of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University, Wuhan, China.

出版信息

Discov Oncol. 2025 May 30;16(1):958. doi: 10.1007/s12672-025-02769-9.

DOI:10.1007/s12672-025-02769-9
PMID:40445434
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12125451/
Abstract

BACKGROUND

Liquid-liquid phase separation has been reported to be closely related to the development and occurrence of tumors, but its role in osteosarcoma remains unexplored.

METHODS

For the first time, based on liquid-liquid phase separation related genes (LLPSRGs), a prognostic model was constructed through multivariate Cox regression. The model was validated on an independent dataset. The patients were grouped based on the median risk score. Simultaneously conduct immune infiltration analysis, enrichment analysis and drug sensitivity evaluation.

RESULTS

We have identified for the first time 3 LLPSRGs associated with osteosarcoma prognosis. A prognostic model was constructed based on LLPSRGs and validated in an independent dataset. The signature is an independent risk factor for osteosarcoma patients, the signature was associated with the tumor microenvironment.

CONCLUSIONS

we conducted a comprehensive analysis of LLPSRGs in osteosarcoma patients for the first time and identified 3 LLPSRGs that may be associated with the prognosis of osteosarcoma patients.

摘要

背景

据报道,液-液相分离与肿瘤的发生发展密切相关,但其在骨肉瘤中的作用仍未得到探索。

方法

首次基于液-液相分离相关基因(LLPSRGs),通过多变量Cox回归构建了一个预后模型。该模型在独立数据集上进行了验证。根据中位风险评分对患者进行分组。同时进行免疫浸润分析、富集分析和药物敏感性评估。

结果

我们首次鉴定出3个与骨肉瘤预后相关的LLPSRGs。基于LLPSRGs构建了一个预后模型,并在独立数据集中进行了验证。该特征是骨肉瘤患者的独立危险因素,该特征与肿瘤微环境相关。

结论

我们首次对骨肉瘤患者的LLPSRGs进行了全面分析,鉴定出3个可能与骨肉瘤患者预后相关的LLPSRGs。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f533/12125451/d6fede6105b5/12672_2025_2769_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f533/12125451/257a62a94492/12672_2025_2769_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f533/12125451/ee0a4cd91f29/12672_2025_2769_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f533/12125451/362d5ffbb6ab/12672_2025_2769_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f533/12125451/0d2df4b40d85/12672_2025_2769_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f533/12125451/d725b9c608cd/12672_2025_2769_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f533/12125451/0c63d05f09f2/12672_2025_2769_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f533/12125451/d88a20421a84/12672_2025_2769_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f533/12125451/d6fede6105b5/12672_2025_2769_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f533/12125451/257a62a94492/12672_2025_2769_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f533/12125451/ee0a4cd91f29/12672_2025_2769_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f533/12125451/362d5ffbb6ab/12672_2025_2769_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f533/12125451/0d2df4b40d85/12672_2025_2769_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f533/12125451/d725b9c608cd/12672_2025_2769_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f533/12125451/0c63d05f09f2/12672_2025_2769_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f533/12125451/d88a20421a84/12672_2025_2769_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f533/12125451/d6fede6105b5/12672_2025_2769_Fig8_HTML.jpg

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