Publications by authors named "Danyelle Winchester"

The National Institutes of Health (NIH) recognized the need for a research program to address the underlying structural factors that impact health. To inform the development of the NIH Common Fund Community Partnerships to Advance Science for Society (ComPASS) Program, NIH obtained input through community listening sessions. Through its design, ComPASS recognizes the essential role of community organizations as the lead in addressing persistent structural and social challenges to accelerate progress toward advancing health equity.

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Article Synopsis
  • The study examined how race and socioeconomic status affect the characteristics of breast tumors and survival rates among patients using data from the Washington D.C. Cancer Registry from 2000 to 2010.
  • It found that African American breast cancer patients were more likely to have advanced stage tumors and negative hormone receptor status compared to White and Hispanic patients, indicating a racial disparity in breast cancer outcomes.
  • Furthermore, areas in D.C. with lower socioeconomic status had higher instances of late-stage breast cancer, but within African Americans, income levels did not significantly affect clinicopathological features or survival outcomes, suggesting that biological factors may contribute to the disparities.
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Background: We reported that some, but not all single nucleotide polymorphisms (SNPs) in select immune response genes are associated with prostate cancer, but not individually with the prevalence of intraprostatic inflammation in the Prostate Cancer Prevention Trial (PCPT) placebo arm. Here, we investigated whether these same SNPs are associated with risk of lower- and higher-grade prostate cancer in men randomized to finasteride, and with prevalence of intraprostatic inflammation among controls. Methods A total of 16 candidate SNPs in IL1β, IL2, IL4, IL6, IL8, IL10, IL12(p40), IFNG, MSR1, RNASEL, TLR4, and TNFA and 7 tagSNPs in IL10 were genotyped in 625 white prostate cancer cases, and 532 white controls negative for cancer on an end-of-study biopsy nested in the PCPT finasteride arm.

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Background: We previously reported that both intraprostatic inflammation and SNPs in genes involved in the immune response are associated with prostate cancer risk and disease grade. In the present study, we evaluated the association between these SNPs and intraprostatic inflammation in men without a prostate cancer diagnosis.

Methods: Included in this cross-sectional study were 205 white controls from a case-control study nested in the placebo arm of the Prostate Cancer Prevention Trial.

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Background/aim: Several studies reported that patients with benign prostatic hyperplasia (BPH) experienced a 10% increased incidence of prostate cancer (PCa) after the first 5 years of diagnosis. We investigated the association between single nucleotide polymorphisms (SNPs) in the promoter of Serine Protease Inhibitor Kazal Type 1 (SPINK1) and the increased risk of BPH and PCa.

Materials And Methods: We genotyped three SNPs in a cases-control study, including BPH and PCa cases.

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Background: We previously found that inflammation in benign prostate tissue is associated with an increased odds of prostate cancer, especially higher-grade disease. Since part of this link may be due to genetics, we evaluated the association between single nucleotide polymorphisms (SNPs) in immune response genes and prostate cancer in the placebo arm of the Prostate Cancer Prevention Trial.

Methods: We genotyped 16 candidate SNPs in IL1β, IL2, IL4, IL6, IL8, IL10, IL12(p40), IFNG, MSR1, RNASEL, TLR4, and TNFA and seven tagSNPs in IL10 in 881 prostate cancer cases and 848 controls negative for cancer on an end-of-study biopsy.

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Background/aim: Several studies have revealed an association between single nucleotide polymorphisms (SNPs) in the VDR gene and prostate cancer (PCa) risk in European and Asian populations. To investigate whether VDR SNPs are associated with PCa risk in African-American (AA) men, nine VDR SNPs were analyzed in a case-control study.

Materials And Methods: Multiple and binary logistic regression models were applied to analyze the clinical and genotypic data.

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