Thesis
Temporal Transcriptome of Prostate Cancer and Disease Progression
Prostate cancer (PC) is the second most diagnosed cancer in men and the fifth leading cause of
death worldwide. PC has greater racial or ethnic disparities than any other cancer type.
African-Americans (AA) have a prevalence in relation to incidence rates and cancer aggressiveness
compared to European-Americans (EA). Thus, understanding the genetic background of PC can
provide new insight into the disease progression in different races. The method used to understand
genetic background through differentially expressed genes is transcriptomic profiling. Using the
method, tissue samples of 6 AA and 14 EA patients were run through bioinformatic analysis.
Software such as FastQC, Cutadapt, STAR-Aligner, R studio and Deseq2 were applied, and temporal
transcriptome was obtained. It reveals distinct gene expressions between two racial groups, where
685 (33.4%) DE genes are exclusive to AA, 1239 (60.4%) exclusively to EA and 127 DE (6.2%) genes
are shared by both groups. Molecular functions and Pathways found in AA men indicate higher
inflammation activity associated with disease progression. The gene expression of MMP9, CD44,
CXCR1, CXCL2, CXCL3 and CXCL5 supported this. Similarly, Findings in gene ontologies of Molecular
Functions and Pathways in EA men indicate inflammatory response as the gene expression of CXCL9
supported this. Gene expressions that were differentially expressed in both patients suggest the
presence of inflammation activity associated with disease progression. Where AA men inhibit
higher inflammation activity compared to EA men based on differentially expressed gene.
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