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Background <p>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.</p> Methods <p>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.</p> Results <p>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.</p> Conclusions <p>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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年5月30日

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

摘要

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.