Analysis of metastasis‑related risk factors and clinical relevance in adult soft‑tissue sarcoma
- Shuai Han 1, Xin Song 1, Jialiang Liu 2, Jingfen Zhou 1, Zhipeng Wu 2, Haihan Song 3, Jun Tao 4, Jian Wang 1
- Shuai Han 1, Xin Song 1, Jialiang Liu 2
- 1Department of Orthopedics, Shanghai Pudong New Area People's Hospital, Shanghai 201299, P.R. China.
- 2Department of Orthopedic Oncology, Shanghai Changzheng Hospital, Naval Medical University, Shanghai 200003, P.R. China.
- 3Central Laboratory of Shanghai Key Laboratory of Pathogenic Fungi Medical Testing, Shanghai Pudong New Area People's Hospital, Shanghai 201299, P.R. China.
- 4Department of Orthopedics, Weihai Central Hospital, Qingdao University, Shandong 264499, P.R. China.
- 0Department of Orthopedics, Shanghai Pudong New Area People's Hospital, Shanghai 201299, P.R. China.
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View abstract on PubMed
Summary
This summary is machine-generated.A new five-gene signature predicts survival in adult soft-tissue sarcoma (ASTS) by identifying metastatic risk. This model aids in personalized treatment strategies for ASTS patients.
Area Of Science
- Oncology
- Genomics
- Biomarker Discovery
Background
- Metastasis significantly impacts prognosis in adult soft-tissue sarcoma (ASTS), with a 2-year survival rate around 30%.
- Accurate prognostic models are crucial for personalized therapeutic strategies in ASTS.
- Identifying metastatic characteristics can improve survival predictions for ASTS patients.
Purpose Of The Study
- To develop and validate a prognostic prediction model for ASTS based on gene expression differences between metastatic and non-metastatic patients.
- To identify key genes associated with metastasis and survival in ASTS.
- To explore the functional implications of identified gene signatures in sarcoma progression.
Main Methods
- Differential gene expression analysis of Gene Expression Omnibus (GEO) and Cancer Genome Atlas (TCGA) datasets.
- Development of a five-gene prognostic signature (ACTG2, apolipoprotein D, coatomer protein complex subunit γ2 imprinted transcript 1, collagen type VI α6 chain, osteomodulin).
- Functional enrichment, pathway analysis (including PI3K-Akt), immune infiltration analysis, and in vitro assays (wound-healing, Transwell) to validate gene significance.
Main Results
- A five-gene signature was developed and validated, categorizing ASTS patients into high- and low-risk groups.
- High-risk patients showed activated stemness, extracellular matrix, cell adhesion, and PI3K-Akt pathways.
- Inhibition of ACTG2 reduced cell migration and invasion in a sarcoma cell line, confirming its role in metastasis.
Conclusions
- A validated metastasis-based prognostic model for ASTS has been successfully developed.
- This model accurately predicts survival and offers insights into sarcoma metastasis mechanisms.
- The findings support the design of tailored therapeutic regimens for ASTS patients.
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