Xueying Hou1,2, Yuelin Zhang2,3, Siyuan Han, Baoxian Hou4. 1. Department of Breast Surgery, The First Affiliated Hospital of China Medical University , Shenyang, Liaoning Province, People's Republic of China. 2. School of Postgraduate, China Medical University , Shenyang, Liaoning, People's Republic of China. 3. China Medical University , Shenyang, People's Republic of China. 4. Department of Orthopedic Surgery, Shenyang Orthopaedics Hospital , Shenyang, Liaoning, People's Republic of China.
Abstract
BACKGROUND: Prostate cancer (PC) is the most common non-cutaneous malignancy among men in the western world. However, heterogeneity remains a pressing clinical problem. RESEARCH DESIGN AND METHODS: The least absolute shrinkage and selection operator (LASSO) was used to screen the prognostic signature. Weighted correlation network analysis (WGCNA) was used to identify the target genes associated with high-risk characteristics. Gene set enrichment analysis was used to suggest the molecular mechanism of MYBL2 in PC. In addition, in vitro experiments were carried out to validate the role of MYBL2 in PC. RESULTS: Ten DNA methylation sites were selected as the prognostic signature. A high expression of MYBL2 was associated with a poor prognosis in PC patients. The effect of MYBL2 in PC was related to KRAS, AKT, IL21, and ATM. MYBL2 facilitates the proliferation, migration, invasion, and metastasis of PC cells. CONCLUSIONS: We developed a DNA methylation 10-CpG prognostic signature to predict the prognosis of PC patients. And the high expression of MYBL2 in PC may be related to poor prognosis.
BACKGROUND:Prostate cancer (PC) is the most common non-cutaneous malignancy among men in the western world. However, heterogeneity remains a pressing clinical problem. RESEARCH DESIGN AND METHODS: The least absolute shrinkage and selection operator (LASSO) was used to screen the prognostic signature. Weighted correlation network analysis (WGCNA) was used to identify the target genes associated with high-risk characteristics. Gene set enrichment analysis was used to suggest the molecular mechanism of MYBL2 in PC. In addition, in vitro experiments were carried out to validate the role of MYBL2 in PC. RESULTS: Ten DNA methylation sites were selected as the prognostic signature. A high expression of MYBL2 was associated with a poor prognosis in PCpatients. The effect of MYBL2 in PC was related to KRAS, AKT, IL21, and ATM. MYBL2 facilitates the proliferation, migration, invasion, and metastasis of PC cells. CONCLUSIONS: We developed a DNA methylation 10-CpG prognostic signature to predict the prognosis of PCpatients. And the high expression of MYBL2 in PC may be related to poor prognosis.
Entities:
Keywords:
DNA methylation; LASSO; TCGA; WGCNA; multiple omics