2018
DOI: 10.3390/genes9020092
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Identification of Key Pathways and Genes in the Dynamic Progression of HCC Based on WGCNA

Abstract: Hepatocellular carcinoma (HCC) is a devastating disease worldwide. Though many efforts have been made to elucidate the process of HCC, its molecular mechanisms of development remain elusive due to its complexity. To explore the stepwise carcinogenic process from pre-neoplastic lesions to the end stage of HCC, we employed weighted gene co-expression network analysis (WGCNA) which has been proved to be an effective method in many diseases to detect co-expressed modules and hub genes using eight pathological stag… Show more

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Cited by 148 publications
(131 citation statements)
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“…Moreover, the eight candidate biomarkers of the pathogenesis of breast cancer have been identified [14]. Yin et al [15] found through WGCNA that five high degree hub genes may play a key role in the hepatocellular carcinoma (HCC) progression. Additional studies using WGCNA have shown that SKA1, ERCC6L, and GTSE-1 may be potential diagnostic markers for renal cell carcinoma [16].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the eight candidate biomarkers of the pathogenesis of breast cancer have been identified [14]. Yin et al [15] found through WGCNA that five high degree hub genes may play a key role in the hepatocellular carcinoma (HCC) progression. Additional studies using WGCNA have shown that SKA1, ERCC6L, and GTSE-1 may be potential diagnostic markers for renal cell carcinoma [16].…”
Section: Introductionmentioning
confidence: 99%
“…The modules are then used to analyze their association with clinical traits to find functional key modules (8). WGCNA has been used for analyzing a number of biological processes, including ontogeny (9), cancer (10)(11)(12) and mental disorders (13), and has been validated as a valuable method to identify underlying mechanisms, potential biomarkers or therapeutic targets in different types of diseases by placing a focus on key modules. Previous studies on the mechanisms of AF have primarily concentrated on specific pathophysiological functions, with relatively fewer studies identifying comprehensive regulatory networks.…”
Section: Introductionmentioning
confidence: 99%
“…The key genes in the PPI network were investigated topologically by NetworkAnalyzer. The cytoHubba plugin of Cytoscape further analyzed the network, and the high degree nodes were identi ed [25].…”
Section: Gene Expression Analysis By Reverse Transcription-qpcrmentioning
confidence: 99%