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Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
Published on: January 12, 2020
Correlation analysis of HOX, ErbB and IGFBP family gene expression in ovarian cancer
Zahra Bahrani-Mostafavi1, Timothy L Tickle, Jian Zhang
1Cannon Research Center, Molecular Biology Core Facility, Carolinas Medical Center, Charlotte, NC 28203, USA. zahra.mostafavi@carolinashealthcare.org
Abstract:
Utilizing microarray gene expression data in cancer research possesses the ability to identify deregulated cellular pathways involved in malignant development. This study investigated the relationships of three gene families, HOX, ErbB and IGFBP, with regard to the development of ovarian cancer. These families were of interest because of similar chromosomal locations and their deregulated expression in ovarian cancer. Higher level statistics were used to differentially analyze microarray data in 65 ovarian samples to assess correlation and relationships among the gene families of interest. Fifteen genes in the three families were found to be significantly deregulated. Thirty-eight significant correlations were found within and between the genes of interest. Our data indicates that the significantly modeled relationships between HOX, ErbB and IGFBP gene pairs could provide insight into the underlying biological mechanisms in ovarian cancer.
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