Weighted correlation network analysis identifies multiple susceptibility loci for low-grade glioma.
Weighted correlation network analysis identifies multiple susceptibility loci for low-grade glioma.
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作者：
目前的分子分类不能完全解释低级别胶质瘤（LGG）的两极分化的恶性生物学行为，特别是肿瘤复发。因此，我们试图鉴定与LGG中肿瘤复发相关的可疑枢纽基因。在这项研究中，我们通过加权基因共表达网络分析（WGCNA）构建了LGG的基因-miRNA-lncRNA共表达网络。数据分析主要使用GDCRNATools和WGCNA R软件包。本研究分析了502例LGG患者的测序数据。与复发性胶质瘤组织相比，我们在原发性LGG中鉴定了774个差异表达（DE）mRNA，49个DE miRNA和129个DE lncRNA，并最终确定MKLN 1的表达与LGG中的肿瘤复发有关。本研究确定了LGG发病机制和复发的潜在生物标志物，并提出MKLN 1可能是潜在的治疗靶点。在这项研究中，我们通过加权基因共表达网络分析（WGCNA）构建了低级别胶质瘤（LGGs）的基因-miRNA-lncRNA共表达网络。本研究确定了LGG发病和复发的潜在生物标志物，并提出MKLN 1可能是潜在的治疗靶点。
The current molecular classifications cannot completely explain the polarized malignant biological behavior of low‐grade gliomas (LGGs), especially for tumor recurrence. Therefore, we tried to identify suspicious hub genes related to tumor recurrence in LGGs. In this study, we constructed a gene‐miRNA‐lncRNA co‐expression network for LGGs by a weighted gene co‐expression network analysis (WGCNA). GDCRNATools and the WGCNA R package were mainly used in data analysis. Sequencing data from 502 LGG patients were analyzed in this study. Compared with recurrent glioma tissues, we identified 774 differentially expressed (DE) mRNAs, 49 DE miRNAs, and 129 DE lncRNAs in primary LGGs and ultimately determined that the expression of MKLN1 was related to tumor recurrence in LGG. This study identified the potential biomarkers for the pathogenesis and recurrence of LGGs and proposed that MKLN1 could be a potential therapeutic target. In this study, we constructed a gene‐miRNA‐lncRNA co‐expression network for low‐grade gliomas (LGGs) by a weighted gene coexpressionnetwork analysis (WGCNA). This study identified the potential biomarkers for the pathogenesis and recurrence of LGGsand proposed that MKLN1 could be a potential therapeutic target.
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WGCNA：用于加权相关网络分析的 R 包。
影响因子：
3
作者：
Langfelder P;Horvath S
通讯作者：
Horvath S
影响因子：
3.7
作者：
Huang L;Ye T;Wang J;Gu X;Ma R;Sheng L;Ma B
通讯作者：
Ma B
影响因子：
5.5
作者：
Wu T;Wei B;Lin H;Zhou B;Lin T;Liu Q;Sang H;Liu H;Huang W
通讯作者：
Huang W
影响因子：
5.4
作者：
Gao W;Chen X;Chi W;Xue M
通讯作者：
Xue M
影响因子：
12.6
作者：
He S;Huang L;Shao C;Nie T;Xia L;Cui B;Lu F;Zhu L;Chen B;Yang Q
通讯作者：
Yang Q