[HTML][HTML] Identification of differentially expressed genes in the development of osteosarcoma using RNA-seq

Y Yang, Y Zhang, X Qu, J Xia, D Li, X Li, Y Wang… - Oncotarget, 2016 - ncbi.nlm.nih.gov
Y Yang, Y Zhang, X Qu, J Xia, D Li, X Li, Y Wang, Z He, S Li, Y Zhou, L Xie, Z Yang
Oncotarget, 2016ncbi.nlm.nih.gov
Objective Osteosarcoma (OS) is a malignant bone tumor with high morbidity in young adults
and adolescents. This study aimed to discover potential early diagnosis biomarkers in OS.
Results In total, 111 differentially expressed genes (DEGs) were identified in primary OS
compared with normal controls and 235 DEGs were identified in metastatic OS compared
with primary OS. AURKB and PPP2R2B were the significantly up-regulated and down-
regulated hub proteins, respectively, in the PPI protein-protein network (PPI) network of …
Abstract
Objective
Osteosarcoma (OS) is a malignant bone tumor with high morbidity in young adults and adolescents. This study aimed to discover potential early diagnosis biomarkers in OS.
Results
In total, 111 differentially expressed genes (DEGs) were identified in primary OS compared with normal controls and 235 DEGs were identified in metastatic OS compared with primary OS. AURKB and PPP2R2B were the significantly up-regulated and down-regulated hub proteins, respectively, in the PPI protein-protein network (PPI) network of primary OS. ISG15 and BTRC were the significantly up-regulated and down-regulated hub proteins, respectively, in the network of metastatic OS. The DEGs in metastatic OS compared with primary OS were significantly enriched in the arachidonic acid metabolism, malaria, and chemokine signaling pathways. Finally, we employed quantitative real-time polymerase chain reaction (qRT-PCR) to validate the expression levels of candidate DEGs and the results indicated that our bioinformatics approach was acceptable.
Materials and Methods
The mRNA expression profiling of 20 subjects was obtained through high-throughput RNA-sequencing. DEGs were identified between primary OS and normal Control, and between primary OS and metastatic OS, respectively. Functional annotation and PPI networks were used to obtain insights into the functions of DEGs. qRT-PCR was performed to detect the expression levels of dysregulated genes in OS.
Conclusions
Our work might provide groundwork for the further exploration of tumorigenesis and metastasis mechanisms of OS.
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