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Updated: May 10, 2025

Modeling Osteosarcoma Using Li-Fraumeni Syndrome Patient-derived Induced Pluripotent Stem Cells
Published on: June 13, 2018
Identifying PSIP1 as a critical R-loop regulator in osteosarcoma via machine-learning and multi-omics analysis
Jiangbo Nie1,2,3, Shijiang Wang2,3, Yanxin Zhong2,3
1Department of Orthopedic Surgery, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, China.
This study introduces a new R-loop Gene Prognostic Score Model (RGPSM) to predict osteosarcoma (OS) patient outcomes. High RGPSM scores indicate poorer prognosis and a more suppressive tumor immune microenvironment (TME), highlighting PSIP1 as a key factor in OS progression.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Dysregulation of R-loops is linked to cancer development and the tumor immune microenvironment (TME).
- The specific roles of R-loops in osteosarcoma (OS) pathogenesis are not well understood.
- Understanding R-loop involvement is crucial for developing novel therapeutic strategies in OS.
Purpose of the Study:
- To develop a prognostic model for osteosarcoma based on R-loop-related genes.
- To investigate the association between R-loop gene expression and the tumor immune microenvironment (TME) in OS.
- To identify key R-loop-associated genes influencing OS progression and validate their functional roles.
Main Methods:
- Construction of an R-loop Gene Prognostic Score Model (RGPSM) using RNA-sequencing (RNA-seq) data.
- Analysis of the correlation between RGPSM scores and TME characteristics.
- Utilizing single-cell RNA sequencing (scRNA-seq) to identify key R-loop genes in OS progression, followed by in vitro and in vivo experimental validation.
- Investigating the role of PC4 and SRSF1 Interacting Protein 1 (PSIP1) in R-loop dynamics and DNA damage.
Main Results:
- High RGPSM scores were associated with poorer prognosis, lower Huvos grades, and a more suppressive TME in osteosarcoma patients.
- A higher proportion of malignant cells was observed in patients with high RGPSM scores.
- PC4 and SRSF1 Interacting Protein 1 (PSIP1) was identified as highly expressed in proliferative OS cells and linked to poor prognosis.
- PSIP1 knockdown inhibited OS progression, increased R-loop accumulation and DNA damage, while PSIP1 overexpression promoted R-loop resolution.
Conclusions:
- The developed RGPSM is a valuable tool for predicting osteosarcoma patient outcomes.
- PSIP1 plays a critical role in osteosarcoma progression by modulating R-loop accumulation and DNA damage.
- Targeting PSIP1 may represent a potential therapeutic strategy for osteosarcoma.
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