Discipline: Biological Sciences
Subcategory: Cancer Research
Leticia B. McDaniels - Xavier University of Louisiana
Co-Author(s): Hebei University, Hebei Province, China Fengkun Du, Yan Li Xavier, Wensheng Zhang, Shubha P. Kale, Harris McFerrin, Ian Davenport, Guangdi Wang, Elena Skripnikova, Xiao-Lin Li, and Qian-Jin Zhang, Xavier University of Louisiana, New Orleans, LA Nathan J. Bowen, Clark Atlanta University, Atlanta, GA Yuan-Xiang Meng, Morehouse School of Medicine, East Point, GA Paula Polk, LSUHSC Health Sciences Center, Shreveport, LA Yong-Yu Liu, University of Louisiana at Monroe, Monroe, LA
Patients with advanced epithelial ovarian cancer often experience disease recurrence after standard therapies, a critical factor in determining their five-year survival rate. Recent reports indicated that long-term or short-term survival is associated with varied gene expression of cancer cells. Thus, identification of novel prognostic biomarkers should be considered. Since the mouse genome is similar to the human genome, we explored potential prognostic biomarkers using two groups of mouse ovarian cancer cell lines (group 1: IG-10, IG-10pw, and IG-10pw/agar; group 2: IG-10 clones 2, 3, and 11) which display highly and moderately aggressive phenotypes in vivo. Mice injected with these cell lines have different survival time and rates, capacities of tumor, and ascites formations, reflecting different prognostic potentials. Using an Affymetrix Mouse Genome 430 2.0 Array, a total of 181 genes were differentially expressed (P < 0.01) by at least twofold between two groups of the cell lines. Of the 181 genes, 109 and 72 genes were overexpressed in highly and moderately aggressive cell lines, respectively. Analysis of the 109 and 72 genes using Ingenuity Pathway Analysis (IPA) tool revealed two cancer-related gene networks. One was associated with the highly aggressive cell lines and affiliated with MYC gene, and another was associated with the moderately aggressive cell lines and affiliated with the androgen receptor (AR). Finally, the gene enrichment analysis indicated that the overexpressed 89 genes (out of 109 genes) in highly aggressive cell lines had a function annotation in the David database. The cancer-relevant significant gene ontology (GO) terms included Cell cycle, DNA metabolic process, and Programmed cell death. None of the genes from a set of the 72 genes overexpressed in the moderately aggressive cell lines had a function annotation in the David database. Our results suggested that the overexpressed MYC and 109 gene set represented highly aggressive ovarian cancer potential biomarkers while overexpressed AR and 72 gene set represented moderately aggressive ovarian cancer potential biomarkers. Based on our knowledge, the current study is first time to report the potential biomarkers relevant to different aggressive ovarian cancer. These potential biomarkers provide important information for investigating human ovarian cancer prognosis.
Funder Acknowledgement(s): NSF, NIH, and Louisiana Cancer Research Consortium.
Faculty Advisor: Qian-Jin Zhang, email@example.com
Role: My contribution to my labs research includes employing components of data analysis and Bioinformatics to evaluate elements of the data my lab obtained. To begin, using transcripts of our cell lines analyzed by a Microarray, I applied aspects of mathematical and statistical analysis to compare the gene expression of the highly and moderately aggressive cell lines. From my analysis, I was able to discover a differential overexpression of 181 significant genes in the highly and moderately aggressive cell lines. Then, I used functional enrichment analysis to determine if the gene subsets had a function annotation in the David database.