scholarly journals The impact of inflammatory and immune response-related genetic variants on prostate cancer risk among men of African descent.

2014 ◽  
Author(s):  
Dominique Jones
Keyword(s):  
Prostate Cancer ◽  
Immune Response ◽  
Cancer Risk ◽  
Genetic Variants ◽  
African Descent ◽  
Prostate Cancer Risk ◽  
The Impact

scholarly journals The Association Between Three Genetic Variants in MicroRNAs (Rs11614913, Rs2910164, Rs3746444) and Prostate Cancer Risk

2018 ◽  
Vol 48 (1) ◽  
pp. 149-157 ◽  
Author(s):  
Yuanyuan Mi ◽  
Kewei Ren ◽  
Jiangang Zou ◽  
Yu  Bai ◽  
Lifeng Zhang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Risk ◽  
Genetic Variants ◽  
Genetic Model ◽  
Meta Analysis ◽  
Prostate Cancer Risk ◽  
Asian Population ◽  
Published Data ◽  
Common Genetic Variants ◽  
The Impact

Background/Aims: MicroRNAs (miRNAs) are a class of small non-coding RNA molecules which play a significant role in transcriptional and translational regulation. Published data on the association between the miRNA SNPs and prostate cancer (PCa) risk are somewhat inconclusive. Methods: We performed a meta-analysis of all available studies including 2,227 patients and 2,331 control subjects to evaluate the impact of three common genetic variants of microRNAs in prostate cancer risk. Odds ratios (ORs) with 95% confidence intervals (CIs) were utilized to investigate the strength of the association. Results: For miR-499 polymorphism, a significant association was observed between the rs3746444 A>G polymorphism and PCa risk in heterozygote comparison and dominant genetic model, in particular in Asian population subgroup. For miR-146a polymorphism, the rs2910164 CC genotype was associated with decreased PCa risk in Asian population in homozygote comparison. In addition, rs2910164 CC genotype had a weekly higher percentage value in subgroup of Gleason score < 7. Similar results were also indicated in localized prostate cancer in subgroup analysis by tumor stage. For miR-196a2 polymorphism, no association was observed between this variant and PCa risk in the overall group. However, in stratified analysis by ethnicity, we found that rs11614913 T allele was a risk factor for Asian PCa patients. Conclusions: Polymorphisms of miR-196a2 rs11614913, miR-146a rs2910164, and miR-499 rs3746444 may contribute to the risk for developing prostate cancer in Asian descendants. Moreover, miR-146a rs2910164 polymorphism was related to PCa prognosis.

scholarly journals Toll-like receptor-associated sequence variants and prostate cancer risk among men of African descent

2013 ◽  
Vol 14 (6) ◽  
pp. 347-355 ◽  
Author(s):  
E N Rogers ◽  
D Z Jones ◽  
N C Kidd ◽  
S Yeyeodu ◽  
G Brock ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Risk ◽  
African Descent ◽  
Prostate Cancer Risk ◽  
Sequence Variants ◽  
Toll Like Receptor

Prostate cancer risk calculators for healthy population: A systematic review (Preprint)

2021 ◽  
Author(s):  
Antonio Bandala-Jacques ◽  
Kevin Daniel Castellanos Esquivel ◽  
Fernanda Pérez-Hurtado ◽  
Cristobal Hernández-Silva ◽  
Nancy Reynoso-Noverón
Keyword(s):  
Prostate Cancer ◽  
Risk Factors ◽  
Systematic Review ◽  
Cancer Risk ◽  
Digital Rectal Examination ◽  
Prostate Cancer Risk ◽  
Individual Risk ◽  
Healthy Population ◽  
Risk Of Cancer ◽  
The Impact

BACKGROUND Screening for prostate cancer has long been a debated, complex topic. The use of risk calculators for prostate cancer is recommended for determining patients’ individual risk of cancer and the subsequent need for a prostate biopsy. These tools could lead to a better discrimination of patients in need of invasive diagnostic procedures and for optimized allocation of healthcare resources OBJECTIVE To systematically review available literature on current prostate cancer risk calculators’ performance in healthy population, by comparing the impact factor of individual items on different cohorts, and the models’ overall performance. METHODS We performed a systematic review of available prostate cancer risk calculators targeted at healthy population. We included studies published from January 2000 to March 2021 in English, Spanish, French, Portuguese or German. Two reviewers independently decided for or against inclusion based on abstracts. A third reviewer intervened in case of disagreements. From the selected titles, we extracted information regarding the purpose of the manuscript, the analyzed calculators, the population for which it was calibrated, the included risk factors, and the model’s overall accuracy. RESULTS We included a total of 18 calculators across 53 different manuscripts. The most commonly analyzed ones were they PCPT and ERSPC risk calculators, developed from North American and European cohorts, respectively. Both calculators provided high precision for the diagnosis of aggressive prostate cancer (AUC as high as 0.798 for PCPT and 0.91 for ERSPC). We found 9 calculators developed from scratch for specific populations, which reached diagnostic precisions as high as 0.938. The most commonly included risk factors in the calculators were age, PSA levels and digital rectal examination findings. Additional calculators included race and detailed personal and family history CONCLUSIONS Both the PCPR and the ERSPC risk calculators have been successfully adapted for cohorts other than the ones they were originally created for with no loss of diagnostic accuracy. Furthermore, designing calculators from scratch considering each population’s sociocultural differences has resulted in risk tools that can be well adapted to be valid in more patients. The best risk calculator for prostate cancer will be that which was has been calibrated for its intended population and can be easily reproduced and implemented CLINICALTRIAL CRD42021242110

Abstract 1932: Association of genetic variants with prostate cancer risk.

2013 ◽  
Author(s):  
Radhika G. Andavolu ◽  
Jean-Luc Cardenas ◽  
Ross Shore ◽  
Zach Rubin ◽  
James MacMurray ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Risk ◽  
Genetic Variants ◽  
Prostate Cancer Risk

scholarly journals Cumulative effect of five genetic variants on prostate cancer risk in multiple study populations

The Prostate ◽  
2008 ◽  
Vol 68 (12) ◽  
pp. 1257-1262 ◽  
Author(s):  
Jielin Sun ◽  
Bao-Li Chang ◽  
Sarah D. Isaacs ◽  
Kathleen E. Wiley ◽  
Fredrik Wiklund ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Risk ◽  
Genetic Variants ◽  
Prostate Cancer Risk ◽  
Cumulative Effect ◽  
Multiple Study

Clinical utility of genetic variants of glutamate carboxypeptidase II in predicting breast cancer and prostate cancer risk

2015 ◽  
Vol 208 (11) ◽  
pp. 552-558 ◽  
Author(s):  
Shaik Mohammad Naushad ◽  
Parvathaneni Shree Divyya ◽  
M. Janaki Ramaiah ◽  
Balraj Alex Stanley ◽  
S. Prasanna Lakshmi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prostate Cancer ◽  
Cancer Risk ◽  
Genetic Variants ◽  
Clinical Utility ◽  
Prostate Cancer Risk ◽  
Glutamate Carboxypeptidase Ii ◽  
Glutamate Carboxypeptidase

scholarly journals Association between Prostinogen (KLK15) Genetic Variants and Prostate Cancer Risk and Aggressiveness in Australia and a Meta-Analysis of GWAS Data

PLoS ONE ◽  
2011 ◽  
Vol 6 (11) ◽  
pp. e26527 ◽  
Author(s):  
Jyotsna Batra ◽  
Felicity Lose ◽  
Tracy O'Mara ◽  
Louise Marquart ◽  
Carson Stephens ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Risk ◽  
Genetic Variants ◽  
Meta Analysis ◽  
Prostate Cancer Risk ◽  
Gwas Data

scholarly journals Genetic variants in RTEL1 influencing telomere length are associated with prostate cancer risk

2019 ◽  
Vol 10 (24) ◽  
pp. 6170-6174 ◽  
Author(s):  
Cheng-Yuan Gu ◽  
Sheng-Ming Jin ◽  
Xiao-Jian Qin ◽  
Yao Zhu ◽  
Dai Bo ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Risk ◽  
Telomere Length ◽  
Genetic Variants ◽  
Prostate Cancer Risk
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