Weighted correlation network analysis identifies multiple susceptibility loci for low‐grade glioma

Typical low-grade gliomas (LGGs), World Health Organization (WHO) grade 2 gliomas, are generally slowly growing and locally infiltrative brain tumors, and usually occur in young or middle-aged adults. 1,2 Most patients who received comprehensive treatments (including maximal surgical resection and follow-up chemoradiotherapy based on molecular neuropathology) may have better survival, but these types of tumors are unlikely to change their invasive nature. 3,4 Recent studies disclosed that LGGs were more concordant with molecular status (IDH, 1p/19q, and TP53) than with histologic class. [4][5][6] LGGs with IDH wild-type, 1p/19q non-codeletion, and

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Weighted correlation network analysis identifies multiple susceptibility loci for low‐grade glioma

Niu

Pan

Zhang

et al. 2022

Cancer Medicine

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Identification of key modules and driving genes in nonalcoholic fatty liver disease by weighted gene co-expression network analysis

Song

Lin

et al. 2023

BMC Genomics

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Background Nonalcoholic fatty liver disease (NAFLD) is characterized by excessive liver fat deposition, and progresses to liver cirrhosis, and even hepatocellular carcinoma. However, the invasive diagnosis of NAFLD with histopathological evaluation remains risky. This study investigated potential genes correlated with NAFLD, which may serve as diagnostic biomarkers and even potential treatment targets. Methods The weighted gene co-expression network analysis (WGCNA) was constructed based on dataset E-MEXP-3291. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to evaluate the function of genes. Results Blue module was positively correlated, and turquoise module negatively correlated with the severity of NAFLD. Furthermore, 8 driving genes (ANXA9, FBXO2, ORAI3, NAGS, C/EBPα, CRYAA, GOLM1, TRIM14) were identified from the overlap of genes in blue module and GSE89632. And another 8 driving genes were identified from the overlap of turquoise module and GSE89632. Among these driving genes, C/EBPα (CCAAT/enhancer binding protein α) was the most notable. By validating the expression of C/EBPα in the liver of NAFLD mice using immunohistochemistry, we discovered a significant upregulation of C/EBPα protein in NAFLD. Conclusion we identified two modules and 16 driving genes associated with the progression of NAFLD, and confirmed the protein expression of C/EBPα, which had been paid little attention to in the context of NAFLD, in the present study. Our study will advance the understanding of NAFLD. Moreover, these driving genes may serve as biomarkers and therapeutic targets of NAFLD.

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Weighted correlation network analysis identifies multiple susceptibility loci for low‐grade glioma

Cited by 2 publications

References 38 publications