Department of Breast Surgery, The First Affiliated Hospital of China Medical University , Shenyang, Liaoning Province, People's Republic of China.
School of Postgraduate, China Medical University , Shenyang, Liaoning, People's Republic of China.
Expert Rev Anticancer Ther. 2020 Dec;20(12):1107-1119. doi: 10.1080/14737140.2020.1838280. Epub 2020 Nov 5.
Prostate cancer (PC) is the most common non-cutaneous malignancy among men in the western world. However, heterogeneity remains a pressing clinical problem.
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 in PC. In addition, experiments were carried out to validate the role of in PC.
Ten DNA methylation sites were selected as the prognostic signature. A high expression of was associated with a poor prognosis in PC patients. The effect of in PC was related to , and facilitates the proliferation, migration, invasion, and metastasis of PC cells.
We developed a DNA methylation 10-CpG prognostic signature to predict the prognosis of PC patients. And the high expression of in PC may be related to poor prognosis.
前列腺癌(PC)是西方世界男性中最常见的非皮肤恶性肿瘤。然而,异质性仍然是一个紧迫的临床问题。
采用最小绝对收缩和选择算子(LASSO)筛选预后特征。加权相关网络分析(WGCNA)用于鉴定与高危特征相关的靶基因。基因集富集分析用于提示在 PC 中作用的分子机制。此外,进行了实验以验证在 PC 中作用。
选择了十个 DNA 甲基化位点作为预后特征。在 PC 患者中,高表达与预后不良相关。在 PC 中作用的效果与有关,促进了 PC 细胞的增殖、迁移、侵袭和转移。
我们开发了一个 DNA 甲基化 10-CpG 预后特征来预测 PC 患者的预后。并且在 PC 中高表达可能与预后不良有关。