Important ethnic and racial differences exist in Prostate Cancer (PCA) epidemiology. PCA mortality is higher among both African American (AA) and Puerto Rican (PR) Hispanic men when compared with other Hispanic and Caucasian men in the United States. Among AA PCA patients molecular differences in the disease characteristics at the DNA, mRNA, and protein levels have been discovered and may play a role in disease aggressiveness. Both AA and PR populations are heterogeneous with respect to West African Ancestry , (WAA), which is a risk factor for PCA incidence and (potentially) mortality. In fact, recent data from the Puerto Rican Cancer Registry show that many of the municipalities with the highest PCA mortality also have the greatest concentration of inhabitants of WAA. Therefore, one could postulate that increased mortality among PR men could be related to genetic admixture and specifically WAA. PCA is a complex disease;there is a need to study these two populations at increased risk for mortality in a comprehensive manner, integrating genetic markers of disease aggressiveness, WAA, environment interactions, influence of behaviors (exercise, smoking);socioeconomic status (SES), and comorbidities to determine if such variables enhance the prediction of PCA and its aggressiveness over standard clinical variables (i.e., serum prostate specific antigen [PSA] and digital rectal examination [DRE]). In our current project (Pilot Project E), we have accrued a cohort of both PR and AA prostate cancer cases and controls to begin to characterize the variables that contribute to both disease presence and the aggressive phenotype. The long-term goal of our research, which is carried forward in the renewal is to characterize features of PCA and its aggressive phenotype among at risk PR and AA men as a step toward decreasing PCA mortality among the two populations. The objective of our newly proposed study (Full Project A) is to design multivariable models to define key factors associated with the detection of PCA and its aggressive features in both high risk populations. Our hypotheses, derived in part from our preliminary data (see Preliminary Studies) is that: 1) specific genetic (i.e., WAA, and /or other PCA genetic polymorphisms) environmental, and lifestyle factors contribute to PCA incidence Or virulence, and 2) an assessment of these variables could enhance the prediction of PCA or its behavior among our two high risk populations.

Agency
National Institute of Health (NIH)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA096300-12
Application #
8754382
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
Budget End
Support Year
12
Fiscal Year
2014
Total Cost
Indirect Cost
City
Houston
State
TX
Country
United States
Zip Code
Palacios, Cristina; Daniel, Carrie R; Tirado-Gómez, Maribel et al. (2016) Dietary Patterns in Puerto Rican and Mexican-American Breast Cancer Survivors: A Pilot Study. J Immigr Minor Health :
Ortiz-Ortiz, Karen J; Ríos-Motta, Ruth; Marín-Centeno, Heriberto et al. (2016) Factors associated with late stage at diagnosis among Puerto Rico's government health plan colorectal cancer patients: a cross-sectional study. BMC Health Serv Res 16:344
Gökce, Mehmet I; Wang, Xuemei; Frost, Jacqueline et al. (2016) Informed decision making before prostate-specific antigen screening: Initial results using the American Cancer Society (ACS) Decision Aid (DA) among medically underserved men. Cancer :
Casellas-Cabrera, Nicolás; Díaz-Algorri, Yaritza; Carlo-Chévere, Víctor J et al. (2016) Risk of thyroid cancer among Caribbean Hispanic patients with familial adenomatous polyposis. Fam Cancer 15:267-74
Habiba, Khaled; Encarnacion-Rosado, Joel; Garcia-Pabon, Kenny et al. (2016) Improving cytotoxicity against cancer cells by chemo-photodynamic combined modalities using silver-graphene quantum dots nanocomposites. Int J Nanomedicine 11:107-19
Tirado-Gómez, Maribel; Hughes, Daniel C; González-Mercado, Velda et al. (2016) Physical Activity in Puerto Rican Breast Cancer Survivors. P R Health Sci J 35:62-8
Hansen, Jean M; Coleman, Robert L; Sood, Anil K (2016) Targeting the tumour microenvironment in ovarian cancer. Eur J Cancer 56:131-43
Huang, Xuelin; Yan, Fangrong; Ning, Jing et al. (2016) A two-stage approach for dynamic prediction of time-to-event distributions. Stat Med 35:2167-82
Suárez, Erick; González, Lorena; Pérez-Mitchell, Carlos et al. (2016) Pathway Analysis using Gene-expression Profiles of HPV-positive and HPV-negative Oropharyngeal Cancer Patients in a Hispanic Population: Methodological Procedures. P R Health Sci J 35:3-8
Hatakeyama, Hiroto; Wu, Sherry Y; Mangala, Lingegowda S et al. (2016) Assessment of In Vivo siRNA Delivery in Cancer Mouse Models. Methods Mol Biol 1402:189-97

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