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Articles by C. B Ambrosone
Total Records ( 3 ) for C. B Ambrosone
  A Hoque , C. B Ambrosone , C Till , P. J Goodman , C Tangen , A Kristal , S Lucia , Q Wang , M Kappil , I Thompson , A. W Hsing , H Parnes and R. M. Santella

To evaluate the role of oxidative stress in prostate cancer risk, we analyzed serum levels of protein carbonyl groups in 1,808 prostate cancer cases and 1,805 controls, nested in the Prostate Cancer Prevention Trial, a randomized, placebo-controlled trial that found finasteride decreased prostate cancer risk. There were no significant differences in protein carbonyl levels in baseline samples between those later diagnosed with prostate cancer and those without at the end of study biopsy. Adjusted odds ratios and 95% confidence intervals (95% CI) for the 4th quartile of protein carbonyl level for the combined, placebo, and finasteride arms were 1.03 (95% CI, 0.85-1.24), 0.88 (95% CI, 0.69-1.12), and 1.27 (95% CI, 0.94-1.71), respectively. There were no significant associations between carbonyl level and risk when analyzing high-grade and low-grade disease separately, nor did finasteride affect protein oxidation levels. The results of this large nested case-control study do not support the hypothesis that oxidative stress, at least as measured by protein carbonyl level, plays a role in prostate cancer. Cancer Prev Res; 3(4); 478–83. ©2010 AACR.

  J. Y Choi , S. R James , P. A Link , S. E McCann , C. C Hong , W Davis , M. K Nesline , C. B Ambrosone and A. R. Karpf

Background: Global DNA hypomethylation may result in chromosomal instability and oncogene activation, and as a surrogate of systemic methylation activity, may be associated with breast cancer risk. Methods: Samples and data were obtained from women with incident early-stage breast cancer (I–IIIa) and women who were cancer free, frequency matched on age and race. In preliminary analyses, genomic methylation of leukocyte DNA was determined by measuring 5-methyldeoxycytosine (5-mdC), as well as methylation analysis of the LINE-1-repetitive DNA element. Further analyses used only 5-mdC levels. Logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for risk of breast cancer in relation to amounts of methylation. Results: In a subset of samples tested (n = 37), 5-mdC level was not correlated with LINE-1 methylation. 5-mdC level in leukocyte DNA was significantly lower in breast cancer cases than healthy controls (P = 0.001), but no significant case–control differences were observed with LINE-1 methylation (P = 0.176). In the entire data set, we noted significant differences in 5-mdC levels in leukocytes between cases (n = 176) and controls (n = 173); P value < 0.001. Compared with women in the highest 5-mdC tertile (T3), women in the second (T2; OR = 1.49, 95% CI = 0.84–2.65) and lowest tertile (T1; OR = 2.86, 95% CI = 1.65–4.94) had higher risk of breast cancer (P for trend ≤0.001). Among controls only and cases and controls combined, only alcohol intake was found to be inversely associated with methylation levels. Conclusion: These findings suggest that leukocyte DNA hypomethylation is independently associated with development of breast cancer.

  A. N Freedman , L. B Sansbury , W. D Figg , A. L Potosky , S. R Weiss Smith , M. J Khoury , S. A Nelson , R. M Weinshilboum , M. J Ratain , H. L McLeod , R. S Epstein , G. S Ginsburg , R. L Schilsky , G Liu , D. A Flockhart , C. M Ulrich , R. L Davis , L. J Lesko , I Zineh , G Randhawa , C. B Ambrosone , M. V Relling , N Rothman , H Xie , M. R Spitz , R Ballard Barbash , J. H Doroshow and L. M. Minasian

Recent advances in genomic research have demonstrated a substantial role for genomic factors in predicting response to cancer therapies. Researchers in the fields of cancer pharmacogenomics and pharmacoepidemiology seek to understand why individuals respond differently to drug therapy, in terms of both adverse effects and treatment efficacy. To identify research priorities as well as the resources and infrastructure needed to advance these fields, the National Cancer Institute (NCI) sponsored a workshop titled "Cancer Pharmacogenomics: Setting a Research Agenda to Accelerate Translation" on July 21, 2009, in Bethesda, MD. In this commentary, we summarize and discuss five science-based recommendations and four infrastructure-based recommendations that were identified as a result of discussions held during this workshop. Key recommendations include 1) supporting the routine collection of germline and tumor biospecimens in NCI-sponsored clinical trials and in some observational and population-based studies; 2) incorporating pharmacogenomic markers into clinical trials; 3) addressing the ethical, legal, social, and biospecimen- and data-sharing implications of pharmacogenomic and pharmacoepidemiologic research; and 4) establishing partnerships across NCI, with other federal agencies, and with industry. Together, these recommendations will facilitate the discovery and validation of clinical, sociodemographic, lifestyle, and genomic markers related to cancer treatment response and adverse events, and they will improve both the speed and efficiency by which new pharmacogenomic and pharmacoepidemiologic information is translated into clinical practice.

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