TY - JOUR ID - 80109 TI - Bioinformatics Analysis of Key Genes and Pathways for Medulloblastoma as a Therapeutic Target JO - Asian Pacific Journal of Cancer Prevention JA - APJCP LA - en SN - 1513-7368 AU - Shaanbanpour Aghamaleki, Fateme AU - Mollashahi, Behrouz AU - Aghamohammadi, Nika AU - Rostami, Nematollah AU - Mazloumi, Zeinab AU - Mirzaei, Hamidreza AU - Moradi, Afshin AU - Sheikhpour, Mojgan AU - Movafagh, Abolfazl AD - Department of Cellular-Molecular Biology, Faculty of Biological Sciences and Technologies, Shahid Beheshti University of Medical Sciences, Tehran, Iran. AD - Department of Cellular-Molecular Biology, Faculty of Biological Sciences and Technologies, Shahid Beheshti University. Tehran, Iran. AD - Department of Dental Sciences,, Shahid Beheshti University, Tehran, Iran. AD - Department of Hematology and Medical Oncology, Shahid Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran. AD - Department of Biology, Zanjan Branch, Islamic Azad University, Zanjan, Iran. AD - Cancer Research Center, Shohadae Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran. AD - Department of Pathology, Shohadae Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran. AD - Department of Mycobacteriology and Pulmonary Research, Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, AD - Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Y1 - 2019 PY - 2019 VL - 20 IS - 1 SP - 221 EP - 227 KW - medulloblastoma KW - Computational Biology KW - Differ KW - KEGG pathways KW - Target Therapy DO - 10.31557/APJCP.2019.20.1.221 N2 - Introduction: One of the major challenges in cancer treatment is the lack of specific and accurate treatment incancer. Data analysis can help to understand the underlying molecular mechanism that leads to better treatment.Increasing availability and reliability of DNA microarray data leads to increase the use of these data in a variety ofcancers. This study aimed at applying and evaluating microarray data analyzing, identification of important pathwaysand gene network for medulloblastoma patients to improve treatment approaches especially target therapy. Methods:In the current study, Microarray gene expression data (GSE50161) were extracted from Geo datasets and then analyzedby the affylmGUI package to predict and investigate upregulated and downregulated genes in medulloblastoma. Then,the important pathways were determined by using software and gene enrichment analyses. Pathways visualizationand network analyses were performed by Cytoscape. Results: A total number of 249 differentially expressed genes(DEGs) were identified in medulloblastoma compared to normal samples. Cell cycle, p53, and FoxO signaling pathwayswere indicated in medulloblastoma, and CDK1, CCNB1, CDK2, and WEE1 were identified as some of the importantgenes in the medulloblastoma. Conclusion: Identification of critical and specific pathway in any disease, in our casemedulloblastoma, can lead us to better clinical management and accurate treatment and target therapy. UR - https://journal.waocp.org/article_80109.html L1 - https://journal.waocp.org/article_80109_bd544cc54f7ae96419121e8d7a441657.pdf ER -