scholarly journals An examination of clinical differences between carriers and non-carriers of chromosome 8q24 risk alleles in a New Zealand Caucasian population with prostate cancer

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1731 ◽  
Author(s):  
Karen S. Bishop ◽  
Dug Yeo Han ◽  
Nishi Karunasinghe ◽  
Megan Goudie ◽  
Jonathan G. Masters ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Environmental Factors ◽  
Cancer Risk ◽  
Gleason Score ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Prostate Cancer Risk ◽  
Link Type ◽  
Chromosome 8Q24

Background.Prostate cancer makes up approximately 15% of all cancers diagnosed in men in developed nations and approximately 4% of cases in developing nations. Although it is clear that prostate cancer has a genetic component and single nucleotide polymorphisms (SNPs) can contribute to prostate cancer risk, detecting associations is difficult in multi-factorial diseases, as environmental and lifestyle factors also play a role. In this study, specific clinical characteristics, environmental factors and genetic risk factors were assessed for interaction with prostate cancer.Methods.A total of 489 prostate cancer cases and 427 healthy controls were genotyped for SNPs found on chromosome 8q24 and a genetic risk score was calculated. In addition the SNPs were tested for an association with a number of clinical and environmental factors.Results.Age and tobacco use were positively associated, whilst alcohol consumption was negatively associated with prostate cancer risk. The following SNPs found on chromosome 8q24 were statistically significantly associated with prostate cancer:rs10086908,rs16901979;rs1447295andrs4242382. No association between Gleason score and smoking status, or between Gleason score and genotype were detected.Conclusion.A genetic risk score was calculated based on the 15 SNPs tested and found to be significantly associated with prostate cancer risk. Smoking significantly contributed to the risk of developing prostate cancer, and this risk was further increased by the presence of four SNPs in the 8q24 chromosomal region.

scholarly journals Performance of an Adipokine Pathway-Based Multilocus Genetic Risk Score for Prostate Cancer Risk Prediction

PLoS ONE ◽  
2012 ◽  
Vol 7 (6) ◽  
pp. e39236 ◽  
Author(s):  
Ricardo J. T. Ribeiro ◽  
Cátia P. D. Monteiro ◽  
Andreia S. M. Azevedo ◽  
Virgínia F. M. Cunha ◽  
Agnihotram V. Ramanakumar ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Risk ◽  
Risk Prediction ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Prostate Cancer Risk

scholarly journals The Nordic Nutrition Recommendations and prostate cancer risk in the Cancer of the Prostate in Sweden (CAPS) study

2012 ◽  
Vol 15 (10) ◽  
pp. 1897-1908 ◽  
Author(s):  
Elisabeth Möller ◽  
Carlotta Galeone ◽  
Hans-Olov Adami ◽  
Jan Adolfsson ◽  
Therese M-L Andersson ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Prostate Cancer Risk ◽  
Positive Association ◽  
Population Based ◽  
Lifestyle Factors ◽  
Cancer Of The Prostate ◽  
Nordic Nutrition Recommendations

AbstractObjectiveThe Nordic Nutrition Recommendations (NNR) aim at preventing diet-associated diseases such as cancer in the Nordic countries. We evaluated adherence to the NNR in relation to prostate cancer (PC) in Swedish men, including potential interaction with a genetic risk score and with lifestyle factors.DesignPopulation-based case–control study (Cancer of the Prostate in Sweden (CAPS), 2001–2002). Using data from a semi-quantitative FFQ, we created an NNR adherence score and estimated relative risks of PC by unconditional logistic regression. Individual score components were modelled separately and potential modifying effects were assessed on the multiplicative scale.SettingFour regions in the central and northern parts of Sweden.SubjectsIncident PC patients (n 1386) and population controls (n 940), frequency-matched on age and region.ResultsNo overall association with PC was found, possibly due to the generally high adherence to the NNR score and its narrow distribution in the study population. Among individual NNR score components, high compared with low intakes of polyunsaturated fat were associated with an increased relative risk of localized PC. No formal interaction with genetic or lifestyle factors was observed, although in stratified analysis a positive association between the NNR and PC was suggested among men with a high genetic risk score but not among men with a medium or low genetic risk score.ConclusionsOur findings do not support an association between NNR adherence and PC. The suggestive interaction with the genetic risk score deserves further investigations in other study populations.

scholarly journals Pre-treatment risk stratification of prostate cancer patients:A critical review

2012 ◽  
Vol 6 (2) ◽  
Author(s):  
George Rodrigues ◽  
Padraig Warde ◽  
Tom Pickles ◽  
Juanita Crook ◽  
Michael Brundage ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prognostic Factors ◽  
Cancer Risk ◽  
Risk Stratification ◽  
Gleason Score ◽  
Critical Review ◽  
Specific Antigen ◽  
Prostate Cancer Risk ◽  
Original Research ◽  
Pre Treatment

Introduction:  The use of accepted prostate cancer risk stratification groups based on prostate-specific antigen, T stage and Gleason score assists in therapeutic treatment decision-making, clinical trial design and outcome reporting. The utility of integrating novel prognostic factors into an updated risk stratification schema is an area of current debate. The purpose of this work is to critically review the available literature on novel pre-treatment prognostic factors and alternative prostate cancer risk stratification schema to assess the feasibility and need for changes to existing risk stratification systems. Methods:  A systematic literature search was conducted to identify original research publications and review articles on prognostic factors and risk stratification in prostate cancer. Search terms included risk stratification, risk assessment, prostate cancer or neoplasms, and prognostic factors. Abstracted information was assessed to draw conclusions regarding the potential utility of changes to existing risk stratification schema. Results:  The critical review identified three specific clinically relevant potential changes to the most commonly used three-group risk stratification system: (1) the creation of a very-low risk category; (2) the splitting of intermediate-risk into a low- and highintermediate risk groups; and (3) the clarification of the interface between intermediate- and high-risk disease. Novel pathological factors regarding high-grade cancer, subtypes of Gleason score 7 and percentage biopsy cores positive were also identified as potentially important risk-stratification factors. Conclusions:  Multiple studies of prognostic factors have been performed to create currently utilized prostate cancer risk stratification systems. We propose potential changes to existing systems.

MP33-11 GENETIC RISK SCORE CAN DISTINGUISH RISK OF PROSTATE CANCER AMONG FAMILY MEMBERS WITH SIMILAR DEGREES OF RELATIONSHIP

2017 ◽  
Vol 197 (4S) ◽  
Author(s):  
Brian Helfand ◽  
Haitao Chen ◽  
Rong Na ◽  
Carly Conran ◽  
William Catalona ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Family Members

scholarly journals Strongly enhanced colorectal cancer risk stratification by combining family history and genetic risk score

2018 ◽  
Vol Volume 10 ◽  
pp. 143-152 ◽  
Author(s):  
Korbinian Weigl ◽  
Jenny Chang-Claude ◽  
Phillip Knebel ◽  
Li Hsu ◽  
Michael Hoffmeister ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Family History ◽  
Cancer Risk ◽  
Risk Stratification ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Colorectal Cancer Risk

scholarly journals The influence of dietary and environmental factors on prostate cancer risk

2000 ◽  
Vol 3 (4) ◽  
pp. 256-258 ◽  
Author(s):  
GG Kooiman ◽  
FL Martin ◽  
JA Williams ◽  
PL Grover ◽  
DH Phillips ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Environmental Factors ◽  
Cancer Risk ◽  
Prostate Cancer Risk

Evaluating the effect of multiple genetic risk score models on colorectal cancer risk prediction

Gene ◽  
2018 ◽  
Vol 673 ◽  
pp. 174-180 ◽  
Author(s):  
Junyi Xin ◽  
Haiyan Chu ◽  
Shuai Ben ◽  
Yuqiu Ge ◽  
Wei Shao ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Risk ◽  
Risk Prediction ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Colorectal Cancer Risk

scholarly journals A Genetic Risk Score to Personalize Prostate Cancer Screening, Applied to Population Data

2020 ◽  
Vol 29 (9) ◽  
pp. 1731-1738 ◽  
Author(s):  
Minh-Phuong Huynh-Le ◽  
Chun Chieh Fan ◽  
Roshan Karunamuni ◽  
Eleanor I. Walsh ◽  
Emma L. Turner ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Screening ◽  
Risk Score ◽  
Genetic Risk ◽  
Prostate Cancer Screening ◽  
Genetic Risk Score ◽  
Population Data
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