Identification of allograft inflammatory factor-1 suppressing the progression and indicating good prognosis of osteosarcoma
- Wenda Liu 1,2, Tao Shi 3, Di Zheng 2, Guangshui Ke 1, Jingteng Chen 4
- 1Department of Orthopedics, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, Hubei Province, P. R. China.
- 2Department of Orthopedics, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, P.R. China.
- 3Department of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, P.R. China.
- 4Department of Orthopedics, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, Hubei Province, P. R. China. jtchen@whu.edu.cn.
- 0Department of Orthopedics, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, Hubei Province, P. R. China.
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View abstract on PubMed
Summary
This summary is machine-generated.Allograft inflammatory factor-1 (AIF1) is a potential biomarker for osteosarcoma progression and prognosis. Lower AIF1 expression correlates with poorer outcomes, suggesting AIF1 as a therapeutic target for osteosarcoma.
Area Of Science
- Oncology
- Molecular Biology
- Genomics
Background
- Osteosarcoma is a prevalent cancer with incompletely understood mechanisms.
- Identifying novel biomarkers is crucial for improving osteosarcoma diagnosis and treatment.
- Allograft inflammatory factor-1 (AIF1) was investigated for its role in osteosarcoma.
Purpose Of The Study
- To investigate allograft inflammatory factor-1 (AIF1) as a potential biomarker for osteosarcoma progression.
- To elucidate the molecular mechanisms and prognostic value of AIF1 in osteosarcoma.
- To explore AIF1's association with survival and its functional role in osteosarcoma.
Main Methods
- Differential gene expression analysis using public microarray (GEO) and TCGA datasets.
- Gene Ontology (GO) and KEGG pathway enrichment analyses of differentially expressed genes (DEGs).
- Construction and visualization of a protein-protein interaction (PPI) network.
- Survival analysis (OS, MFS) and in vitro experiments to assess AIF1 function.
Main Results
- Identified 126 DEGs, with AIF1 significantly associated with overall survival (OS) and metastasis-free survival (MFS).
- AIF1 enrichment in the NF-κB signaling pathway and association with tumor immune invasion.
- In vitro studies revealed AIF1 underexpression in osteosarcoma cells, with its overexpression attenuating malignant properties and affecting the NF-κB pathway.
Conclusions
- Differentially expressed genes and hub genes, including AIF1, provide insights into osteosarcoma carcinogenesis.
- AIF1 serves as a potential prognostic biomarker and therapeutic target for osteosarcoma.
- Understanding AIF1's role in the NF-κB pathway offers new avenues for osteosarcoma treatment.
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