scholarly journals The Interaction between Pesticide Use and Genetic Variants Involved in Lipid Metabolism on Prostate Cancer Risk

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Gabriella Andreotti ◽  
Stella Koutros ◽  
Sonja I. Berndt ◽  
Kathryn Hughes Barry ◽  
Lifang Hou ◽  
...  

Background. Lipid metabolism processes have been implicated in prostate carcinogenesis. Since several pesticides are lipophilic or are metabolized via lipid-related mechanisms, they may interact with variants of genes in the lipid metabolism pathway.Methods. In a nested case-control study of 776 cases and 1444 controls from the Agricultural Health Study (AHS), a prospective cohort study of pesticide applicators, we examined the interactions between 39 pesticides (none, low, and high exposure) and 220 single nucleotide polymorphisms (SNPs) in 59 genes. The false discovery rate (FDR) was used to account for multiple comparisons.Results. We found 17 interactions that displayed a significant monotonic increase in prostate cancer risk with pesticide exposure in one genotype and no significant association in the other genotype. The most noteworthy association was forALOXE3rs3027208 and terbufos, such that men carrying the T allele who were low users had an OR of 1.86 (95% CI = 1.16–2.99) and high users an OR of 2.00 (95% CI = 1.28–3.15) compared to those with no use of terbufos, while men carrying the CC genotype did not exhibit a significant association.Conclusion. Genetic variation in lipid metabolism genes may modify pesticide associations with prostate cancer; however our results require replication.


2007 ◽  
Vol 177 (4S) ◽  
pp. 153-153
Author(s):  
Aruna V. Sarma ◽  
Leslie Lange ◽  
Anna Ray ◽  
Ethan Lange ◽  
Rodney L. Dunn ◽  
...  


Genes ◽  
2019 ◽  
Vol 10 (7) ◽  
pp. 547 ◽  
Author(s):  
Peng Zhang ◽  
Lori S. Tillmans ◽  
Stephen N. Thibodeau ◽  
Liang Wang

Genome-wide association studies have identified over 150 risk loci that increase prostate cancer risk. However, few causal variants and their regulatory mechanisms have been characterized. In this study, we utilized our previously developed single-nucleotide polymorphisms sequencing (SNPs-seq) technology to test allele-dependent protein binding at 903 SNP sites covering 28 genomic regions. All selected SNPs have shown significant cis-association with at least one nearby gene. After preparing nuclear extract using LNCaP cell line, we first mixed the extract with dsDNA oligo pool for protein–DNA binding incubation. We then performed sequencing analysis on protein-bound oligos. SNPs-seq analysis showed protein-binding differences (>1.5-fold) between reference and variant alleles in 380 (42%) of 903 SNPs with androgen treatment and 403 (45%) of 903 SNPs without treatment. From these significant SNPs, we performed a database search and further narrowed down to 74 promising SNPs. To validate this initial finding, we performed electrophoretic mobility shift assay in two SNPs (rs12246440 and rs7077275) at CTBP2 locus and one SNP (rs113082846) at NCOA4 locus. This analysis showed that all three SNPs demonstrated allele-dependent protein-binding differences that were consistent with the SNPs-seq. Finally, clinical association analysis of the two candidate genes showed that CTBP2 was upregulated, while NCOA4 was downregulated in prostate cancer (p < 0.02). Lower expression of CTBP2 was associated with poor recurrence-free survival in prostate cancer. Utilizing our experimental data along with bioinformatic tools provides a strategy for identifying candidate functional elements at prostate cancer susceptibility loci to help guide subsequent laboratory studies.



2019 ◽  
Vol 31 (2) ◽  
pp. 139-151 ◽  
Author(s):  
Charlotte Skriver ◽  
Christian Dehlendorff ◽  
Michael Borre ◽  
Klaus Brasso ◽  
Signe Benzon Larsen ◽  
...  




2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 21033-21033 ◽  
Author(s):  
M. Gos ◽  
M. Sadowska ◽  
P. Wiechno ◽  
T. Demkow ◽  
P. Janik

21033 Background: Single nucleotide polymorphisms (SNPs) in genes encoding proteins involved in androgen metabolism were suggested to influence the individual prostate cancer susceptibility and clinical course of the disease. To examine this correlation in Polish population, we have developed a case-control study to analyze whether SNPs in CYP17 (+34T/C), SRD5A2 (V89L and A49T) and UGT2B15 (D85Y) genes may influence prostate cancer risk. These SNPs were also examined for their correlation with clinical features of prostate cancer at diagnosis and disease progression to hormone-refractory state. Methods: The genomic DNA was extracted from blood samples from 182 men with histologically confirmed prostate cancer and 217 healthy men, randomly chosen from population. SNPs analyses were performed with standard molecular methods. Results: The case-control study has revealed that 85YY and 85DY variants in UGT2B15 were more prevalent among patients (83%) than in the control group (73.3%; p=0.02; OR=1.78). The +34CC genotype in CYP17 was more frequent in patients with distant metastasis (30.4%) than in patients with organ confined (T1/T2) or locally advanced (T3/T4) disease (10.2% and 22.6%, respectively; p<0.05). This variant also correlated with higher PSA level at diagnosis. The 89LL variant in SRD5A2 was more common in patients with poorly differentiated prostate cancer (Gleason >6; 17.8%) than in men with well differentiated tumor (5.4%; p=0.033, OR=3.78). The 85YY variant in UGT2B15 was more prevalent in patients that developed hormone-refractory prostate cancer within two years from the beginning of androgen blockade (47.2% vs 23.3%, p=0.025, OR=2.95). Also the analysis of progression-free survival time on hormonal therapy for D85Y polymorphism yield significant results (p=0.041, Gehan's generalized Wilcoxon test). Conclusions: The D85Y polymorphism in UGT2B15 seems to influence prostate cancer risk in Polish population. The analyzed SNPs also correlated with clinical stage and PSA level at diagnosis (+34T/C in CYP17), tumor histological grade (V89L in SRD5A2) and response to hormonal therapy (D85Y in UGT2B15). No significant financial relationships to disclose.





2011 ◽  
Vol 119 (12) ◽  
pp. 1726-1732 ◽  
Author(s):  
Kathryn Hughes Barry ◽  
Stella Koutros ◽  
Sonja I. Berndt ◽  
Gabriella Andreotti ◽  
Jane A. Hoppin ◽  
...  


2011 ◽  
Vol 33 (2) ◽  
pp. 331-337 ◽  
Author(s):  
Kathryn Hughes Barry ◽  
Stella Koutros ◽  
Gabriella Andreotti ◽  
Dale P. Sandler ◽  
Laurie A. Burdette ◽  
...  




2010 ◽  
Author(s):  
Joanne Watters ◽  
Yikyung Park ◽  
Albert Hollenbeck ◽  
Arthur Schatzkin ◽  
Demetrius Albanes


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