Circadian dysrhythm and advanced prostate cancer.

2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 199-199
Author(s):  
Lorelei A. Mucci ◽  
Sarah Markt ◽  
Lara Sigurdardottir ◽  
Steven W. Lockley ◽  
Katja Fall ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Circadian Rhythm ◽  
Advanced Prostate Cancer ◽  
Clock Genes ◽  
Sleep Problems ◽  
P Value ◽  
Relative Risks ◽  
Increased Risk ◽  
Falling Asleep

199 Background: The circadian rhythm regulates diverse biologic pathways including tumor oncogenes, metabolism, and cell proliferation. Dysregulation of the circadian rhythm arises from faulty input signals such as exposure to light at night, variability in core circadian rhythm genes, and variation in outputs that regulate circadian behavior including melatonin. There is compelling biologic rationale, but little human data, on circadian dysrhythm and advanced prostate cancer. Methods: We undertook an integrative molecular epidemiology study of circadian dysrhythm and advanced prostate cancer among men in the Icelandic AGES-Reykjavik cohort and the U.S. Health Professionals Follow-up Study, which allowed integration of questionnaire data, biorepositories, and long-term follow-up. We characterized circadian dysrhythm using complimentary approaches: information on sleep problems from questionnaires, prediagnostic melatonin (6-sulfatoxymelatonin) measured on first morning void urine samples, and genetic variation across twelve circadian clock genes. We used multivariable regression models to estimate relative risks (RR) and 95% confidence intervals (CI) of associations with advanced prostate cancer, adjusted for potential confounders. Results: Twenty percent of men reported sleep problems. Men who had trouble falling asleep (RR = 2.1; 95% CI 0.7-6.2) and staying asleep (RR=3.2, 95% CI 1.1-9.7) had an increased risk of developing advanced prostate cancer. Men with sleep problems had significantly lower melatonin levels compared to those without. Low melatonin levels were associated with a statistically significant 4-fold higher risk of advanced prostate cancer compared to those with high levels (95% CI: 1.25-10.0). Variant alleles in two SNPs in cryptochrome (CRY1), involved in generating and maintaining circadian rhythms, were significantly associated with risk of advanced prostate cancer in both cohorts, with a gene-level p-value<0.01. Conclusions: Our results suggest there are multiple nodes in the circadian rhythm that are associated with an increased risk of advanced prostate cancer. As such, there is the potential for complimentary strategies to target circadian disruption and reduce the risk of advanced prostate cancer.

Prostate Cancer

2018 ◽  
Author(s):  
Kathryn M. Wilson ◽  
Lorelei Mucci
Keyword(s):  
Prostate Cancer ◽  
Risk Factors ◽  
Family History ◽  
Prostate Specific Antigen ◽  
Advanced Prostate Cancer ◽  
Advanced Disease ◽  
African Ancestry ◽  
Specific Antigen ◽  
Dietary Factors ◽  
Increased Risk

Prostate cancer is among the most commonly diagnosed cancers among men, ranking second in cancer globally and first in Western countries. There are marked variations in incidence globally, and its incidence must be interpreted in the context of diagnostic intensity and screening. The uptake of prostate-specific antigen screening since the 1990s has led to dramatic increases in incidence in many countries, resulting in an increased proportion of indolent cancers that would never have come to light clinically in the absence of screening. Risk factors differ when studying prostate cancer overall versus advanced disease. Older age, African ancestry, and family history are established risk factors for prostate cancer. Obesity and smoking are not associated with risk overall, but are associated with increased risk of advanced prostate cancer. Several additional lifestyle factors, medications, and dietary factors are now emerging as risk factors for advanced disease.

scholarly journals rs4143815-PDL1, a New Potential Immunogenetic Biomarker of Biochemical Recurrence in Locally Advanced Prostate Cancer after Radiotherapy

2019 ◽  
Vol 20 (9) ◽  
pp. 2082
Author(s):  
Chiara Zanusso ◽  
Eva Dreussi ◽  
Roberto Bortolus ◽  
Chiara Romualdi ◽  
Sara Gagno ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Immune System ◽  
Biochemical Recurrence ◽  
Advanced Prostate Cancer ◽  
Locally Advanced ◽  
Significant Snps ◽  
P Value ◽  
Training Set ◽  
Locally Advanced Prostate Cancer ◽  
New Biomarkers

Up to 30–50% of patients with locally advanced prostate cancer (PCa) undergoing radiotherapy (RT) experience biochemical recurrence (BCR). The immune system affects the RT response. Immunogenetics could define new biomarkers for personalization of PCa patients’ treatment. The aim of this study is to define the immunogenetic biomarkers of 10 year BCR (primary aim), 10 year overall survival (OS) and 5 year BCR (secondary aims). In this mono-institutional retrospective study, 549 Caucasian patients (a discovery set n = 418; a replication set n = 131) were affected by locally advanced PCa and homogeneously treated with RT. In the training set, associations were made between 447 SNPs in 77 genes of the immune system; and 10 year BCR and 10 year OS were tested through a multivariate Cox proportional hazard model. Significant SNPs (p-value < 0.05, q-value < 0.15) were analyzed in the replication set. Replicated SNPs were tested for 5 year BCR in both sets of patients. A polymorphism in the PDL1 gene (rs4143815) was the unique potential genetic variant of 10 year BCR (training set: p = 0.003, HR (95% CI) = 0.58 (0.41–0.83); replication set: p = 0.063, HR (95% CI) = 0.52 (0.26–1.04)) that was significantly associated with 5 year BCR (training set: p = 0.009, HR (95% CI) = 0.59 (0.40–0.88); replication set: p = 0.036, HR (95% CI) = 0.39 (0.16–0.94)). No biomarkers of OS were replicated. rs4143815-PDL1 arose as a new immunogenetic biomarker of BCR in PCa, giving new insights into the RT/immune system interaction, which could be potentially useful in new approaches using anti-PDL1 therapies for PCa.

scholarly journals An Emulation of Randomized Trials of Administrating Antipsychotics in PTSD Patients for Outcomes of Suicide-Related Events

2021 ◽  
Vol 11 (3) ◽  
pp. 178
Author(s):  
Noah R. Delapaz ◽  
William K. Hor ◽  
Michael Gilbert ◽  
Andrew D. La ◽  
Feiran Liang ◽  
...  
Keyword(s):  
Randomized Clinical Trials ◽  
Previous History ◽  
Current Treatment ◽  
Careful Consideration ◽  
P Value ◽  
Post Traumatic Stress ◽  
Increased Risk ◽  
History Of ◽  
Almost All

Post-traumatic stress disorder (PTSD) is a prevalent mental disorder marked by psychological and behavioral changes. Currently, there is no consensus of preferred antipsychotics to be used for the treatment of PTSD. We aim to discover whether certain antipsychotics have decreased suicide risk in the PTSD population, as these patients may be at higher risk. A total of 38,807 patients were identified with a diagnosis of PTSD through the ICD9 or ICD10 codes from January 2004 to October 2019. An emulation of randomized clinical trials was conducted to compare the outcomes of suicide-related events (SREs) among PTSD patients who ever used one of eight individual antipsychotics after the diagnosis of PTSD. Exclusion criteria included patients with a history of SREs and a previous history of antipsychotic use within one year before enrollment. Eligible individuals were assigned to a treatment group according to the antipsychotic initiated and followed until stopping current treatment, switching to another same class of drugs, death, or loss to follow up. The primary outcome was to identify the frequency of SREs associated with each antipsychotic. SREs were defined as ideation, attempts, and death by suicide. Pooled logistic regression methods with the Firth option were conducted to compare two drugs for their outcomes using SAS version 9.4 (SAS Institute, Cary, NC, USA). The results were adjusted for baseline characteristics and post-baseline, time-varying confounders. A total of 5294 patients were eligible for enrollment with an average follow up of 7.86 months. A total of 157 SREs were recorded throughout this study. Lurasidone showed a statistically significant decrease in SREs when compared head to head to almost all the other antipsychotics: aripiprazole, haloperidol, olanzapine, quetiapine, risperidone, and ziprasidone (p < 0.0001 and false discovery rate-adjusted p value < 0.0004). In addition, olanzapine was associated with higher SREs than quetiapine and risperidone, and ziprasidone was associated with higher SREs than risperidone. The results of this study suggest that certain antipsychotics may put individuals within the PTSD population at an increased risk of SREs, and that careful consideration may need to be taken when prescribed.

Association between digoxin use and sudden cardiac death in individuals with the rs10494366 variant of the NOS1AP gene

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
N Soroush ◽  
A Aarnoudse ◽  
F Shokri ◽  
M Van Den Berg ◽  
F Ahmadizar ◽  
...  
Keyword(s):  
Sudden Cardiac Death ◽  
Cardiac Death ◽  
Smoking Status ◽  
Adaptor Protein ◽  
Therapeutic Window ◽  
P Value ◽  
Qtc Interval ◽  
Total Study Population ◽  
Increased Risk

Abstract Background Digoxin is one of the oldest cardiovascular medications still used to treat heart failure and atrial fibrillation. Due to its narrow therapeutic window, it is associated with life threatening intoxication and arrhythmias, and with QTc-shortening. Common genetic variation in the nitric oxide synthase-1 adaptor protein (NOS1AP) has been associated with QTc interval prolongation. Purpose We investigated whether the rs10494366 variant of the NOS1AP gene modified the risk of SCD in patients using digoxin. Methods In a prospective population-based cohort study, we included data of the three cohorts, started as of January 1st, 1991 until January 1st 2014. Digoxin current use on the date of cardiac death in cases and the same day of follow-up in the remainder of the cohort was a time-dependent exposure. The main outcome was SCD defined as sudden and unexpected death as a result of cardiac causes, according to international criteria. Identification and adjudication of SCD was performed independently, before the start of this study. We used Cox proportional hazard regression analysis to investigate the associations between NOS1AP rs10494366 variant and incident SCD among digoxin users compared to non-users. Associations were adjusted for age, sex (model 1) in addition to BMI, prevalent diabetes, myocardial infarction, baseline hypertension and smoking status (past, current, never) (model 2). Results We included 14,594 individuals, with a mean age of 65.3 (SD 10.3) years. Almost 59% were female. The cumulative incidence of SCD was 9.5% (609 cases) by the end of follow up. Among them, 98 (16%) individuals were exposed to digoxin at the time of death. In model 1, NOS1AP rs10494366 variant was not associated with SCD in the total study population. However, an interaction term of the gene with the daily dose of digoxin was significantly associated with increased risk of SCD (p-value 0.0001). In model 2, the risk of SCD in current users of digoxin was 4.2 [95% CI 1.3–13.8] for the GG genotype; 2.1 [95% CI 1.1–4.2] for the GT genotype, and 1.5 [95% CI 0.7–3.2] for the TT genotype. Conclusion NOS1AP rs10494366 variant modified the risk of sudden cardiac death in users of digoxin. Our study suggests that individuals with the homozygous minor GG allele have a fourfold increased risk of sudden cardiac death. Funding Acknowledgement Type of funding source: None

scholarly journals Vitamin D status and risk of type 2 diabetes in the Norwegian HUNT cohort study: does family history or genetic predisposition modify the association?

2021 ◽  
Vol 9 (1) ◽  
pp. e001948
Author(s):  
Marion Denos ◽  
Xiao-Mei Mai ◽  
Bjørn Olav Åsvold ◽  
Elin Pettersen Sørgjerd ◽  
Yue Chen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Family History ◽  
Genetic Predisposition ◽  
Effect Modification ◽  
P Value ◽  
Family History Of Diabetes ◽  
Increased Risk ◽  
History Of

IntroductionWe sought to investigate the relationship between serum 25-hydroxyvitamin D (25(OH)D) level and the risk of type 2 diabetes mellitus (T2DM) in adults who participated in the Trøndelag Health Study (HUNT), and the possible effect modification by family history and genetic predisposition.Research design and methodsThis prospective study included 3574 diabetes-free adults at baseline who participated in the HUNT2 (1995–1997) and HUNT3 (2006–2008) surveys. Serum 25(OH)D levels were determined at baseline and classified as <50 and ≥50 nmol/L. Family history of diabetes was defined as self-reported diabetes among parents and siblings. A Polygenic Risk Score (PRS) for T2DM based on 166 single-nucleotide polymorphisms was generated. Incident T2DM was defined by self-report and/or non-fasting glucose levels greater than 11 mmol/L and serum glutamic acid decarboxylase antibody level of <0.08 antibody index at the follow-up. Multivariable logistic regression models were applied to calculate adjusted ORs with 95% CIs. Effect modification by family history or PRS was assessed by likelihood ratio test (LRT).ResultsOver 11 years of follow-up, 92 (2.6%) participants developed T2DM. A higher risk of incident T2DM was observed in participants with serum 25(OH)D level of<50 nmol/L compared with those of ≥50 nmol/L (OR 1.72, 95% CI 1.03 to 2.86). Level of 25(OH)D<50 nmol/L was associated with an increased risk of T2DM in adults without family history of diabetes (OR 3.87, 95% CI 1.62 to 9.24) but not in those with a family history (OR 0.72, 95% CI 0.32 to 1.62, p value for LRT=0.003). There was no effect modification by PRS (p value for LRT>0.23).ConclusionSerum 25(OH)D<50 nmol/L was associated with an increased risk of T2DM in Norwegian adults. The inverse association was modified by family history of diabetes but not by genetic predisposition to T2DM.

scholarly journals Sex Differences in Circadian Clock Genes and Myocardial Infarction Susceptibility

2021 ◽  
Vol 8 (5) ◽  
pp. 53
Author(s):  
Ivana Škrlec ◽  
Jasminka Talapko ◽  
Martina Juzbašić ◽  
Robert Steiner
Keyword(s):  
Myocardial Infarction ◽  
Cardiovascular Disease ◽  
Circadian Rhythm ◽  
Single Nucleotide Polymorphisms ◽  
Clock Genes ◽  
P Value ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Biological Sex ◽  
Significant Difference

The growing body of evidence shows a significant difference in the circadian rhythm of cardiovascular disease based on biological sex. The incidence of cardiovascular disease varies between women and men. Additionally, biological sex is vital for the timely application of therapy—chronotherapy, which benefits both sexes. This study aimed to examine the potential difference of single nucleotide polymorphisms (SNPs) of the circadian rhythm genes ARNTL, CLOCK, CRY2 and PER2 in women and men with myocardial infarction. A cross-sectional study was conducted, including 200 patients with myocardial infarction. Altogether, ten single nucleotide polymorphisms in the ARNTL, CLOCK, CRY2 and PER2 genes were analyzed. The Chi-square test yielded statistically significant differences in CLOCK gene rs11932595 polymorphism in a recessive genotype model between women and men with a p-value of 0.03 and an odds ratio 2.66, and a corresponding 95% confidence interval of 1.07 to 6.66. Other analyzed polymorphisms of the circadian rhythm genes ARNTL, CRY2, and PER2 did not significantly differ between the sexes. According to the study’s current results, the CLOCK gene’s genetic variability might affect myocardial infarction concerning biological sex.

Increased risk of advanced prostate cancer associated with MnSOD Ala-9-Val gene polymorphism

2011 ◽  
Vol 39 (1) ◽  
pp. 193-198 ◽  
Author(s):  
Canan Kucukgergin ◽  
Oner Sanli ◽  
Tzevat Tefik ◽  
Makbule Aydın ◽  
Faruk Ozcan ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Gene Polymorphism ◽  
Advanced Prostate Cancer ◽  
Increased Risk

scholarly journals Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillance

2021 ◽  
Author(s):  
Nikita Sushentsev ◽  
Leonardo Rundo ◽  
Oleg Blyuss ◽  
Tatiana Nazarenko ◽  
Aleksandr Suvorov ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Active Surveillance ◽  
Cancer Progression ◽  
Predictive Value ◽  
Machine Learning Algorithms ◽  
Superior Performance ◽  
Control Group ◽  
P Value ◽  
Lasso Regression

Abstract Objectives To compare the performance of the PRECISE scoring system against several MRI-derived delta-radiomics models for predicting histopathological prostate cancer (PCa) progression in patients on active surveillance (AS). Methods The study included AS patients with biopsy-proven PCa with a minimum follow-up of 2 years and at least one repeat targeted biopsy. Histopathological progression was defined as grade group progression from diagnostic biopsy. The control group included patients with both radiologically and histopathologically stable disease. PRECISE scores were applied prospectively by four uro-radiologists with 5–16 years’ experience. T2WI- and ADC-derived delta-radiomics features were computed using baseline and latest available MRI scans, with the predictive modelling performed using the parenclitic networks (PN), least absolute shrinkage and selection operator (LASSO) logistic regression, and random forests (RF) algorithms. Standard measures of discrimination and areas under the ROC curve (AUCs) were calculated, with AUCs compared using DeLong’s test. Results The study included 64 patients (27 progressors and 37 non-progressors) with a median follow-up of 46 months. PRECISE scores had the highest specificity (94.7%) and positive predictive value (90.9%), whilst RF had the highest sensitivity (92.6%) and negative predictive value (92.6%) for predicting disease progression. The AUC for PRECISE (84.4%) was non-significantly higher than AUCs of 81.5%, 78.0%, and 80.9% for PN, LASSO regression, and RF, respectively (p = 0.64, 0.43, and 0.57, respectively). No significant differences were observed between AUCs of the three delta-radiomics models (p-value range 0.34–0.77). Conclusions PRECISE and delta-radiomics models achieved comparably good performance for predicting PCa progression in AS patients. Key Points • The observed high specificity and PPV of PRECISE are complemented by the high sensitivity and NPV of delta-radiomics, suggesting a possible synergy between the two image assessment approaches. • The comparable performance of delta-radiomics to PRECISE scores applied by expert readers highlights the prospective use of the former as an objective and standardisable quantitative tool for MRI-guided AS follow-up. • The marginally superior performance of parenclitic networks compared to conventional machine learning algorithms warrants its further use in radiomics research.

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