Literature DB >> 29435068

Common module analysis reveals prospective targets and mechanisms of pediatric adrenocortical adenoma and carcinoma.

Anurag Kulshrestha1, Shikha Suman2.   

Abstract

Pediatric adrenocortical carcinoma and adrenocortical adenoma are two rare diseases affecting children. Molecular analyses were performed to identify commonalities in gene expression between the diseases. Differentially expressed genes were identified for the pediatric adrenocortical adenoma and carcinoma tissues, as compared with normal tissues, using the expression dataset. Protein-protein interaction (PPI) networks were constructed for adenoma and carcinoma disease models, and common modules among the diseases were identified. A total of two common modules with 14 nodes and 20 nodes were revealed among the adenoma and carcinoma networks, respectively. Genes of the common modules were also identified to be the common hub genes of the disease models. Enrichment of the genes of the common modules suggested associations with steroid biosynthesis, the proteasome, cell cycle and metabolic pathways. Modularity, topological and functional analysis of the PPI networks revealed common modules among pediatric adenoma and carcinoma disease models, which provided insight into the underlying disease mechanisms and suggesting prospective targets for future study.

Entities:  

Keywords:  hubs; modules; pediatric adrenocortical adenoma; pediatric adrenocortical carcinoma

Year:  2017        PMID: 29435068      PMCID: PMC5778872          DOI: 10.3892/ol.2017.7646

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


  25 in total

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Authors:  Brian C Gulack; Kristy L Rialon; Brian R Englum; Jina Kim; Lindsay J Talbot; Obinna O Adibe; Henry E Rice; Elisabeth T Tracy
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Authors:  Gary D Bader; Christopher W V Hogue
Journal:  BMC Bioinformatics       Date:  2003-01-13       Impact factor: 3.169

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Review 9.  Pediatric adrenocortical tumors: what they can tell us on adrenal development and comparison with adult adrenal tumors.

Authors:  Enzo Lalli; Bonald C Figueiredo
Journal:  Front Endocrinol (Lausanne)       Date:  2015-02-18       Impact factor: 5.555

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  1 in total

1.  Screening and identification of key biomarkers in adrenocortical carcinoma based on bioinformatics analysis.

Authors:  Zengmiao Xing; Zuojie Luo; Haiyan Yang; Zhenxing Huang; Xinghuan Liang
Journal:  Oncol Lett       Date:  2019-09-06       Impact factor: 2.967

  1 in total

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