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Updated: Oct 28, 2025
Induction of Mesenchymal-Epithelial Transitions in Sarcoma Cells
Published on: April 7, 2017
Development of a Novel Immune Infiltration-Related ceRNA Network and Prognostic Model for Sarcoma
Deyao Shi1,2, Shidai Mu3, Feifei Pu1
1Department of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Abstract:
Due to the rarity and heterogeneity, it is challenging to explore and develop new therapeutic targets for patients with sarcoma. Recently, immune cell infiltration in the tumor microenvironment (TME) was widely studied, which provided a novel potential approach for cancer treatment. The competing endogenous RNA (ceRNA) regulatory network has been reported as a critical molecular mechanism of tumor development. However, the role of the ceRNA regulatory network in the TME of sarcoma remains unclear. In this study, gene expression data and clinical information were obtained from The Cancer Genome Atlas (TCGA) sarcoma datasets, and an immune infiltration-related ceRNA network was constructed, which comprised 14 lncRNAs, 13 miRNAs, and 23 mRNAs. Afterward, we constructed an immune infiltration-related risk score model based on the expression of IRF1, MFNG, hsa-miR-940, and hsa-miR-378a-5p, presenting a promising performance in predicting the prognosis of patients with sarcoma.
Insights
Developing new sarcoma treatments is difficult. This study constructed a competing endogenous RNA (ceRNA) network related to immune cell infiltration in the tumor microenvironment (TME) to identify potential therapeutic targets and predict patient prognosis.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Sarcoma presents challenges in therapeutic target discovery due to rarity and heterogeneity.
- Immune cell infiltration within the tumor microenvironment (TME) is a promising avenue for cancer treatment.
- Competing endogenous RNA (ceRNA) networks are crucial in tumor development, but their role in sarcoma's TME is not well understood.
Purpose of the Study:
- To investigate the role of the ceRNA regulatory network in the tumor microenvironment (TME) of sarcoma.
- To construct an immune cell infiltration-related ceRNA network for sarcoma.
- To develop a prognostic risk score model for sarcoma patients based on ceRNA network components.
Main Methods:
- Utilized gene expression data and clinical information from The Cancer Genome Atlas (TCGA) sarcoma datasets.
- Constructed a ceRNA network incorporating lncRNAs, miRNAs, and mRNAs associated with immune infiltration.
- Developed a risk score model using key genes (IRF1, MFNG) and microRNAs (hsa-miR-940, hsa-miR-378a-5p).
Main Results:
- Successfully constructed an immune infiltration-related ceRNA network comprising 14 lncRNAs, 13 miRNAs, and 23 mRNAs.
- Identified IRF1, MFNG, hsa-miR-940, and hsa-miR-378a-5p as significant components of the network.
- The developed risk score model demonstrated promising performance in predicting sarcoma patient prognosis.
Conclusions:
- The constructed ceRNA network provides insights into the molecular mechanisms of sarcoma development within the TME.
- The immune infiltration-related risk score model offers a potential tool for predicting sarcoma patient outcomes.
- This study highlights the significance of ceRNA networks and immune infiltration in sarcoma, paving the way for novel therapeutic strategies.
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