Lipid Profiling in African-American Men with Prostate Cancer
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo Sapiens
TISSUE(S): Adipose Tissue, Prostate
DISEASE(S): Cancer
PROVIDER: ST001971 | MetabolomicsWorkbench |
REPOSITORIES: MetabolomicsWorkbench
Dataset's files
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| mwtab | Other |
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Project description:African-American (AA) men are more than twice as likely to die of prostate cancer (PCa) than European American (EA) men. Previous in silico analysis revealed enrichment of altered lipid metabolic pathways in pan-cancer AA tumors. Here, we performed global unbiased lipidomics profiling on 48 matched localized PCa and benign adjacent tissues (30 AA, 24 ancestry-verified, and 18 EA, 8 ancestry verified) and quantified 429 lipids belonging to 14 lipid classes. Significant alterations in long chain polyunsaturated lipids were observed between PCa and benign adjacent tissues, low and high Gleason tumors, as well as associated with early biochemical recurrence, both in the entire cohort, and within AA patients. Alterations in cholesteryl esters, and phosphatidyl inositol classes of lipids delineated AA and EA PCa, while the levels of lipids belonging to triglycerides, phosphatidyl glycerol, phosphatidyl choline, phosphatidic acid, and cholesteryl esters distinguished AA and EA PCa patients with biochemical recurrence. These first-in-field results implicate lipid alterations as biological factors for prostate cancer disparities.
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Project description:African-American (AA) men have both a higher incidence and significantly higher mortality rates from prostate cancer (PCa) than European American (EA) men. In this study we have carried out a detailed analysis of both CNAs and gene expression changes in PCas from AA men compared to their matched benign tissues. We have identified MNX1 as a novel androgen regulated oncogene that is upregulated to a greater degree in AA PCa compared to EA PCa. Furthermore, RGS12 is a novel tumor suppressor on 4p16.3 that is preferentially deleted in AA PCa which negatively regulates MNX1 expression.
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Project description:African-Americans with prostate cancer tend to have a more aggressive form of the disease, as compared to their Caucasian counterparts. Nevertheless, African-Americans tend to be underrepresented in most molecular profiling studies of prostate cancer. To investigate DNA copy number alterations (CNAs) in prostate cancer from a cohort of African-Americans, we profiled 20 tumors (each with paired normal) for 500,000 SNPs. Keywords: tumor-normal comparison
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Project description:Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the biological factors accounting for the PCa disparities observed in AA and EA patients, we performed gene profiling analysis using Affymetrix human exon 1.0 ST arrays to identify the differentially expressed genes in AA and EA patients.
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Project description:Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the thebiological risk factors associated with PCa disparities observed in AA and EA patients, we performed microRNA profiling using Agilent Human miRNA arrays to identify the differentially expressed microRNAs beween: 1) AA and EA PCa patients; 2) AA PCa vs. AA normal; and 3) EA PCa vs. EA normal.
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Project description:African-Americans with prostate cancer tend to have a more aggressive form of the disease, as compared to their Caucasian counterparts. Nevertheless, African-Americans tend to be underrepresented in most molecular profiling studies of prostate cancer. To investigate DNA copy number alterations (CNAs) in prostate cancer from a cohort of African-Americans, we profiled 20 tumors (each with paired normal) for 500,000 SNPs. Keywords: tumor-normal comparison Profiles were generated on two Affymetrix array chips: Nsp and Sty, each with ~250K SNPs represented. In all, 20 tumors and 20 paired normal samples were profiled, 40 profiles in all. Each tumor was centered on its corresponding normal pair to define copy number alterations (CNA) in that tumor.
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Project description:This SuperSeries is composed of the SubSeries listed below.
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