scholarly journals Blood Level Omega-3 Fatty Acids as Risk Determinant Molecular Biomarker for Prostate Cancer

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Mishell Kris Sorongon-Legaspi ◽  
Michael Chua ◽  
Maria Christina Sio ◽  
Marcelino Morales
Keyword(s):  
Prostate Cancer ◽  
Cancer Risk ◽  
Blood Level ◽  
Prostate Cancer Risk ◽  
Positive Association ◽  
Case Control ◽  
Blood Levels ◽  
High Grade ◽  
Omega 3 ◽  
High Blood Level

Previous researches involving dietary methods have shown conflicting findings. Authors sought to assess the association of prostate cancer risk with blood levels of omega-3 polyunsaturated fatty acids (n-3 PUFA) through a meta-analysis of human epidemiological studies in available online databases (July, 2012). After critical appraisal by two independent reviewers, Newcastle-Ottawa Quality Assessment Scale (NOQAS) was used to grade the studies. Six case control and six nested case control studies were included. Results showed nonsignificant association of overall effect estimates with total or advanced prostate cancer or high-grade tumor. High blood level of alpha-linolenic acid (ALA) had nonsignificant positive association with total prostate cancer risk. High blood level of docosapentaenoic acid (DPA) had significant negative association with total prostate cancer risk. Specific n-3 PUFA in fish oil, eicosapentaenoic acid (EPA), and docosahexaenoic acid (DHA) had positive association with high-grade prostate tumor risk only after adjustment of interstudy variability. There is evidence that high blood level of DPA that is linked with reduced total prostate cancer risk and elevated blood levels of fish oils, EPA, and DHA is associated with high-grade prostate tumor, but careful interpretation is needed due to intricate details involved in prostate carcinogenesis and N-3 PUFA metabolism.

scholarly journals The relevance of serum levels of long chain omega-3 polyunsaturated fatty acids and prostate cancer risk: A Meta-analysis

2013 ◽  
Vol 7 (5-6) ◽  
pp. 333 ◽  
Author(s):  
Michael Chua ◽  
M.C.D. Sio ◽  
M.C. Sorongon ◽  
M.L. Morales Jr.
Keyword(s):  
Prostate Cancer ◽  
Serum Level ◽  
Cancer Risk ◽  
Prostate Cancer Risk ◽  
Serum Levels ◽  
High Serum ◽  
High Grade ◽  
Omega 3 ◽  
High Blood Level ◽  
Long Chain

Objective: Our objective was to systematically analyze the evidence for an association between serum level long chain omega-3 polyunsaturated fatty acid (n-3 PUFA) and prostate cancer risk from human epidemiological studies.Study Procedures: We searched biomedical literature databases up to November 2011 and included epidemiological studies with description of long chain n-3 PUFA and incidence of prostate cancer in humans. Critical appraisal was done by two independent reviewers. Data were pooled using the general variance-based method with random-effects model; effect estimates were expressed as risk ratio with 95% confidence interval (CI). Heterogeneity was assessed by Chi2 and quantified by I2, publication bias was also determined.Results: In total, 12 studies were included. Significant negative association was noted between high serum level of n-3 PUFA docosapentaenoicacid (DPA) and total prostate cancer risk (RR:0.756;95% CI 0.599, 0.955; p = 0.019). Likewise, a positive association between high blood level of fish oil contents, eicosapentaenoicacid (EPA) and docosahexaenoic acid (DHA), and high-grade prostate tumour incidence (RR:1.381; 95% CI 1.050, 1.817; p = 0.021) was noted; however, this finding was evident only after adjustment was done on interstudy variability through the removal of a lower quality study from the pool.Conclusions: High serum levels of long chain n-3 PUFA DPA is associated with reduced total prostate cancer risk. While high blood level of EPA and DHA is possibly associated with increased high-grade prostate tumour risk.

scholarly journals Marital Status and Prostate Cancer Incidence: A Pooled Analysis of 12 Case-Control Studies From the PRACTICAL Consortium

2021 ◽  
Author(s):  
Charlotte Salmon ◽  
Lixin Song ◽  
Kenneth R Muir ◽  
Nora Pashayan ◽  
Alison M Dunning ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Social Support ◽  
Cancer Risk ◽  
Marital Status ◽  
Prostate Cancer Risk ◽  
Case Control ◽  
Cancer Prognosis ◽  
Low Grade ◽  
High Grade ◽  
Case Control Studies

Abstract While being in a committed relationship is associated with a better prostate cancer prognosis, little is known about how marital status relates to its incidence. Social support provided by marriage/relationship could promote a healthy lifestyle and an increased healthcare seeking behavior.We investigated the association between marital status and prostate cancer risk using data from the PRACTICAL Consortium. Pooled analyses were conducted combining 12 case-control studies based on histologically-confirmed incident prostate cancers and controls with information on marital status prior to diagnosis/interview. Marital status was categorized as married/partner, separated/divorced, single, or widowed. Tumours with Gleason scores ≥8 defined high-grade cancers, and low-grade otherwise. NCI-SEER’s summary stages (local, regional, distant) indicated the extent of the cancer. Logistic regression was used to derive odds ratios (ORs) and 95% confidence intervals (CI) for the association between marital status and prostate cancer risk, adjusting for potential confounders. Overall, 14,760 cases and 12,019 controls contributed to analyses. Compared to men who were married/with a partner, widowed men had an OR of 1.19 (95%CI 1.03-1.35) of prostate cancer, with little difference between low- and high-grade tumours. Risk estimates among widowers were 1.14 (95%CI 0.97-1.34) for local, 1.53 (95%CI 1.22-1.92) for regional, and 1.56 (95%CI 1.05-2.32) for distant stage tumours. Single men had elevated risks of high-grade cancers. Our findings highlight elevated risks of incident prostate cancer among widowers, more often characterized by tumours that had spread beyond the prostate at the time of diagnosis. Social support interventions and closer medical follow-up in this sub-population are warranted.

scholarly journals A case–control study of selenium in nails and prostate cancer risk in British men

2004 ◽  
Vol 90 (7) ◽  
pp. 1392-1396 ◽  
Author(s):  
N E Allen ◽  
J S Morris ◽  
R A Ngwenyama ◽  
T J Key
Keyword(s):  
Prostate Cancer ◽  
Cancer Risk ◽  
Case Control Study ◽  
Prostate Cancer Risk ◽  
Case Control ◽  
Control Study

Adherence to Mediterranean diet and prostate cancer risk in Sicily: population-based case–control study

2018 ◽  
Vol 31 (4) ◽  
pp. 269-275 ◽  
Author(s):  
Giorgio Ivan Russo ◽  
Tatiana Solinas ◽  
Daniele Urzì ◽  
Salvatore Privitera ◽  
Daniele Campisi ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Risk ◽  
Mediterranean Diet ◽  
Case Control Study ◽  
Prostate Cancer Risk ◽  
Population Based ◽  
Case Control ◽  
Control Study

scholarly journals Multi-cohort modeling strategies for scalable globally accessible prostate cancer risk tools

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Johanna Tolksdorf ◽  
Michael W. Kattan ◽  
Stephen A. Boorjian ◽  
Stephen J. Freedland ◽  
Karim Saba ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Risk Factors ◽  
Family History ◽  
Cancer Risk ◽  
Risk Prediction ◽  
Prostate Biopsy ◽  
Prostate Cancer Risk ◽  
High Grade ◽  
Prediction Tools ◽  
History Of

Abstract Background Online clinical risk prediction tools built on data from multiple cohorts are increasingly being utilized for contemporary doctor-patient decision-making and validation. This report outlines a comprehensive data science strategy for building such tools with application to the Prostate Biopsy Collaborative Group prostate cancer risk prediction tool. Methods We created models for high-grade prostate cancer risk using six established risk factors. The data comprised 8492 prostate biopsies collected from ten institutions, 2 in Europe and 8 across North America. We calculated area under the receiver operating characteristic curve (AUC) for discrimination, the Hosmer-Lemeshow test statistic (HLS) for calibration and the clinical net benefit at risk threshold 15%. We implemented several internal cross-validation schemes to assess the influence of modeling method and individual cohort on validation performance. Results High-grade disease prevalence ranged from 18% in Zurich (1863 biopsies) to 39% in UT Health San Antonio (899 biopsies). Visualization revealed outliers in terms of risk factors, including San Juan VA (51% abnormal digital rectal exam), Durham VA (63% African American), and Zurich (2.8% family history). Exclusion of any cohort did not significantly affect the AUC or HLS, nor did the choice of prediction model (pooled, random-effects, meta-analysis). Excluding the lowest-prevalence Zurich cohort from training sets did not statistically significantly change the validation metrics for any of the individual cohorts, except for Sunnybrook, where the effect on the AUC was minimal. Therefore the final multivariable logistic model was built by pooling the data from all cohorts using logistic regression. Higher prostate-specific antigen and age, abnormal digital rectal exam, African ancestry and a family history of prostate cancer increased risk of high-grade prostate cancer, while a history of a prior negative prostate biopsy decreased risk (all p-values < 0.004). Conclusions We have outlined a multi-cohort model-building internal validation strategy for developing globally accessible and scalable risk prediction tools.

Diet and prostate cancer risk with specific focus on dairy products and dietary calcium: A case-control study

The Prostate ◽  
2010 ◽  
Vol 70 (10) ◽  
pp. 1054-1065 ◽  
Author(s):  
Sara Raimondi ◽  
Jihène Ben Mabrouk ◽  
Bryna Shatenstein ◽  
Patrick Maisonneuve ◽  
Parviz Ghadirian
Keyword(s):  
Prostate Cancer ◽  
Cancer Risk ◽  
Dairy Products ◽  
Case Control Study ◽  
Prostate Cancer Risk ◽  
Dietary Calcium ◽  
Case Control ◽  
Specific Focus ◽  
Control Study

Prostate cancer risk among users of finasteride and alpha-blockers – A population based case–control study

2007 ◽  
Vol 43 (4) ◽  
pp. 775-781 ◽  
Author(s):  
Teemu J. Murtola ◽  
Teuvo L.J. Tammela ◽  
Liisa Määttänen ◽  
Matti Hakama ◽  
Anssi Auvinen
Keyword(s):  
Prostate Cancer ◽  
Cancer Risk ◽  
Case Control Study ◽  
Prostate Cancer Risk ◽  
Population Based ◽  
Case Control ◽  
Alpha Blockers ◽  
Control Study
Sign in / Sign up

Export Citation Format

Share Document