Validation of an Algorithm to Identify Venous Thromboembolism in Health Insurance Claims Data Among Patients with Rheumatoid Arthritis.

Purpose: Health insurance claims databases provide an opportunity to study uncommon events, such as venous thromboembolism (VTE), in large patient populations. This study evaluated case definitions for identifying VTE among patients treated for rheumatoid arthritis (RA) using International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes in claims data. Patients and Methods: Study participants were insured adults who received treatment for and had a diagnosis of RA between 2016 and 2020. After a 6-month covariate assessment window, patients were observed for ≥1 month until health plan disenrollment, occurrence of a presumptive VTE, or end of the study (12/31/2020). Presumptive VTEs were identified using predefined algorithms based on ICD-10-CM diagnosis codes, anticoagulant use, and care setting. Medical charts were abstracted to confirm the VTE diagnosis. Performance of primary and secondary (less stringent) algorithms was assessed by calculating the positive predictive value (PPV; primary and secondary objectives). Additionally, a linked electronic health record (EHR) claims database and abstracted provider notes were used as a novel alternative source to validate claims-based outcome definitions (exploratory objective). Results: A total of 155 charts identified with the primary VTE algorithm were abstracted. The majority of patients were female (73.5%), with mean (standard deviation) age 66.4 (10.7) years and Medicare insurance (80.6%). Obesity (46.8%), ever smoking (55.8%), and prior evidence of VTE (28.4%) were commonly reported in medical charts. The PPV for the primary VTE algorithm was 75.5% (117/155; 95% confidence interval [CI], 68.7%, 82.3%). A less stringent secondary algorithm had a PPV of 52.6% (40/76; 95% CI, 41.4%, 63.9%). Using an alternative EHR-linked claims database, the primary VTE algorithm PPV was lower, potentially due to the unavailability of relevant records for validation. Conclusion: Administrative claims data can be used to identify VTE among patients with RA in observational studies.

Evaluation of VTE, MACE, and Serious Infections Among Patients with RA Treated with Baricitinib Compared to TNFi: A Multi-Database Study of Patients in Routine Care Using Disease Registries and Claims Databases.

INTRODUCTION: The aim of this work is to evaluate baricitinib safety with respect to venous thromboembolism (VTE), major adverse cardiovascular events (MACE), and serious infection relative to tumor necrosis factor inhibitors (TNFi) in patients with rheumatoid arthritis (RA). METHODS: Patients with RA from 14 real-world data sources (three disease registries, eight commercial and three government health insurance claims databases) in the United States (n = 9), Europe (n = 3), and Japan (n = 2) were analyzed using a new user active comparator design. Propensity score matching (1:1) controlled for potential confounding. Meta-analysis of incidence rate ratios (IRR) and incidence rate differences (IRD) for each outcome, from each data source was executed using modified Poisson regression and Cochran-Mantel-Haenszel analysis. RESULTS: Of 9013 eligible baricitinib-treated patients, 7606 were propensity score-matched with TNFi-treated patients, contributing 5879 and 6512 person-years of baricitinib and TNFi exposure, respectively. Across data sources, 97 patients (56 baricitinib) experienced VTE during follow-up, 93 experienced MACE (54 baricitinib), and 321 experienced serious infection (176 baricitinib). Overall IRRs comparing baricitinib with TNFi treatment were 1.51 (95% CI 1.10, 2.08) for VTE, 1.54 (95% CI 0.93, 2.54) for MACE, and 1.36 (95% CI 0.86, 2.13) for serious infection. IRDs for VTE, MACE, and serious infection, respectively, were 0.26 (95% CI -0.04, 0.57), 0.22 (95% CI -0.07, 0.52), and 0.57 (95% CI -0.07, 1.21) per 100 person-years greater for baricitinib than TNFi. CONCLUSIONS: Overall results suggest increased risk of VTE with baricitinib versus TNFi, with consistent point estimates from the two largest data sources. A numerically greater risk was observed for MACE and serious infection when comparing baricitinib versus TNFi, with different point estimates from the two largest data sources. Findings from this study and their impact on clinical practice should be considered in context of limitations and other evidence regarding the safety and efficacy of baricitinib and other Janus kinase inhibitors. TRIAL REGISTRATION: EU PAS Register ( http://encepp.eu ), identifier #32271.

Prevalence of Renal Impairment in a US Commercially Insured Rheumatoid Arthritis Population: A Retrospective Analysis.

INTRODUCTION: Global prevalence estimates for chronic kidney disease (CKD) in rheumatoid arthritis (RA) vary. This study assessed real-world prevalence estimates of renal impairment, based on estimated glomerular filtration rate (eGFR), among commercially insured patients with RA in the United States (US). METHODS: In this retrospective cohort study, we used administrative claims data from the HealthCore Integrated Research Database (HIRD®) between January 2013 and December 2018. Adult patients with ≥ 2 claims for RA and ≥ 2 serum creatinine (SCr) measurements ≥ 90 days apart on or after the index date were included. eGFR was calculated per the Modification of Diet in Renal Disease equation. Prevalence of eGFR-based renal impairment was estimated for the overall RA population and for two subgroups: patients on advanced therapies (biologic disease-modifying antirheumatic drugs/tofacitinib) and patients stratified based on health plan types. RESULTS: Among 128,062 patients with ≥ 2 RA claims, 42,173 had qualifying SCr measurements, 16,197 were on advanced RA therapies, and 4911 had Medicare Advantage or Supplemental plus Part D coverage. For the overall population and the subgroup on advanced therapies, mild renal impairment was observed in 52% and 51%, moderate renal impairment in 9% and 7%, and severe renal impairment in 0.5% and 0.3% of patients, respectively. Moderate and severe renal impairment was more prevalent in the Medicare Advantage/Supplemental plus Part D population compared to the commercial coverage population. CONCLUSIONS: Approximately 7-10% of commercially insured adult patients in the US with RA had moderate or severe renal impairment. Assessment of renal function is an important consideration for safe treatment.

Cardiovascular Safety During Treatment With Baricitinib in Rheumatoid Arthritis.

OBJECTIVE: To assess the frequency of cardiovascular and venous thromboembolic events in clinical studies of baricitinib, an oral, selective JAK1 and JAK2 inhibitor approved in more than 50 countries for the treatment of moderately-to-severely active rheumatoid arthritis (RA). METHODS: Data were pooled from 9 RA studies. Placebo comparison up to 24 weeks included data from 6 studies. Randomized dose comparison between baricitinib doses of 2 mg and 4 mg used data from 4 studies and from the associated long-term extension study. The data analysis set designated "All-bari-RA" included all baricitinib exposures at any dose. RESULTS: Overall, 3,492 RA patients received baricitinib (7,860 patient-years of exposure). No imbalance compared to the placebo group was seen in the incidence of major adverse cardiovascular events (MACE) (incidence rates [IRs] of 0.5 per 100 patient-years for placebo and 0.8 per 100 patient-years for 4 mg baricitinib), arterial thrombotic events (ATE) (IRs of 0.5 per 100 patient-years for placebo and 0.5 per 100 patient-years for 4 mg baricitinib), or congestive heart failure (CHF) broad term (IRs of 4.3 per 100 patient-years for placebo and 2.4 per 100 patient-years for 4 mg baricitinib). Deep vein thrombosis (DVT)/pulmonary embolism (PE) were reported in 0 of 1,070 patients treated with placebo and 6 of 997 patients treated with 4 mg baricitinib during the placebo-controlled period; these events were serious in 2 of 6 patients, while all 6 had risk factors and 1 patient developed DVT/PE after discontinuation of the study drug. In the 2 mg-4 mg-extended data analysis set, IRs of DVT/PE were comparable between the doses across event types (IRs of 0.5 per 100 patient-years in those receiving 2 mg baricitinib and 0.6 per 100 patient-years in those receiving 4 mg baricitinib). In the All-bari-RA data analysis set, the rates were stable over time, with an IR of DVT/PE of 0.5 per 100 patient-years. CONCLUSION: In RA clinical trials, no association was found between baricitinib treatment and the incidence of MACE, ATE, or CHF. With regard to incidence of DVT/PE, 6 events occurred in patients treated with 4 mg baricitinib, but no cases of DVT/PE were reported in the placebo group. During longer-term evaluation, the incidence of DVT/PE was similar between the baricitinib dose groups, with consistent IR values over time, and this was similar to the rates previously reported in patients with RA.

Prostate cancer in young men: an important clinical entity.

Prostate cancer is considered a disease of older men (aged >65 years), but today over 10% of new diagnoses in the USA occur in young men aged ≤55 years. Early-onset prostate cancer, that is prostate cancer diagnosed at age ≤55 years, differs from prostate cancer diagnosed at an older age in several ways. Firstly, among men with high-grade and advanced-stage prostate cancer, those diagnosed at a young age have a higher cause-specific mortality than men diagnosed at an older age, except those over age 80 years. This finding suggests that important biological differences exist between early-onset prostate cancer and late-onset disease. Secondly, early-onset prostate cancer has a strong genetic component, which indicates that young men with prostate cancer could benefit from evaluation of genetic risk. Furthermore, although the majority of men with early-onset prostate cancer are diagnosed with low-risk disease, the extended life expectancy of these patients exposes them to long-term effects of treatment-related morbidities and to long-term risk of disease progression leading to death from prostate cancer. For these reasons, patients with early-onset prostate cancer pose unique challenges, as well as opportunities, for both research and clinical communities. Current data suggest that early-onset prostate cancer is a distinct phenotype-from both an aetiological and clinical perspective-that deserves further attention.

Identification of a novel NBN truncating mutation in a family with hereditary prostate cancer.

Nibrin (NBN), located on chromosome 8q21 is a gene involved in DNA double-strand break repair that has been implicated in the rare autosomal recessive chromosomal instability syndrome known as Nijmegen Breakage Syndrome (NBS). NBS is characterized by specific physical characteristics (microcephaly and dysmorphic facies), immunodeficiency, and increased risk of malignancy. Individuals who are heterozygous for NBN mutations are clinically asymptomatic, but may display an elevated risk for certain cancers including, but not limited to, ovarian and prostate cancer as well as various lymphoid malignancies. In this study, 94 unrelated familial prostate cancer cases from the University of Michigan Prostate Cancer Genetics Project (n = 54) and Johns Hopkins University (n = 40) were subjected to targeted next-generation sequencing of the exons, including UTRs, of NBN. One individual of European descent, diagnosed with prostate cancer at age 52, was identified to have a heterozygous 2117 C > G mutation in exon 14 of the gene, that results in a premature stop at codon 706 (S706X). Sequencing of germline DNA from additional male relatives showed partial co-segregation of the NBN S706X mutation with prostate cancer. This NBN mutation was not observed among 2768 unrelated European men (1859 with prostate cancer and 909 controls). NBN is involved in double-strand break repair as a component of the MRE11 (meiotic recombination 11)/RAD50/NBN genomic stability complex. The S706X mutation truncates the protein in a highly conserved region of NBN near the MRE11 binding site, thus suggesting a role for rare NBN mutations in prostate cancer susceptibility.

Early onset prostate cancer has a significant genetic component.

BACKGROUND: Prostate cancer (PCa) affects more than 190,000 men each year with ∼10% of men diagnosed at ≤55 years, that is, early onset (EO) PCa. Based on historical findings for other cancers, EO PCa likely reflects a stronger underlying genetic etiology. METHODS: We evaluated the association between EO PCa and previously identified single nucleotide polymorphisms (SNPs) in 754 Caucasian cases from the Michigan Prostate Cancer Genetics Project (mean 49.8 years at diagnosis), 2,713 Caucasian controls from Illumina's iControlDB database and 1,163 PCa cases diagnosed at >55 years from the Cancer Genetic Markers of Susceptibility Study (CGEMS). RESULTS: Significant associations existed for 13 of 14 SNPs (rs9364554 on 6q25, rs10486567 on 7p15, rs6465657 on 7q21, rs6983267 on 8q24, rs1447295 on 8q24, rs1571801 on 9q33, rs10993994 on 10q11, rs4962416 on 10q26, rs7931342 on 11q13, rs4430796 on 17q12, rs1859962 on 17q24.3, rs2735839 on 19q13, and rs5945619 on Xp11.22, but not rs2660753 on 3p12). EO PCa cases had a significantly greater cumulative number of risk alleles (mean 12.4) than iControlDB controls (mean 11.2; P = 2.1 × 10(-33)) or CGEMS cases (mean 11.9; P = 1.7 × 10(-5)). Notably, EO PCa cases had a higher frequency of the risk allele than CGEMS cases at 11 of 13 associated SNPs, with significant differences for five SNPs. EO PCa cases diagnosed at <50 (mean 12.8) also had significantly more risk alleles than those diagnosed at 50-55 years (mean 12.1; P = 0.0003). CONCLUSIONS: These results demonstrate the potential for identifying PCa-associated genetic variants by focusing on the subgroup of men diagnosed with EO disease.

Genetic polymorphisms in inflammation pathway genes and prostate cancer risk.

BACKGROUND: Chronic inflammation is an important mechanism for the development and progression of prostate cancer (PC). To better understand the potential relationship between genes in the inflammation pathway and PC risk, we evaluated variants in 16 candidate genes. METHODS: A total of 143 tagging and amino acid altering single nucleotide polymorphisms (SNPs) were genotyped in Caucasian and African American men participating in one of two population-based, case-control studies (n = 1,458 cases and 1,351 controls). The relative risk of PC was estimated using logistic and polytomous regression models. RESULTS: Ten SNPs in seven genes (CXCL12, IL4, IL6, IL6ST, PTGS2, STAT3, and TNF) were nominally associated (P < 0.05) with risk of PC in Caucasians. The most significant effect on risk was seen with rs11574783 in the interleukin 6 signal transducer (IL6ST) gene (OR = 0.08, 95% CI: 0.01-0.63). Cumulatively, four SNPs in genes interleukin 4 (IL4), IL6ST, PTGS2, and signal transducer and activator of transcription 3 (STAT3) conferred a three-fold elevation in PC risk among men carrying the maximum number of high-risk alleles (OR = 2.97, 95% CI: 1.41-6.25, P(trend) = 0.0003). Risk estimates for seven SNPs varied significantly according to disease aggressiveness (P(homogeneity) < 0.05), with SNPs in AKT1, PIK3R1, and STAT3 independently associated with more aggressive PC; OR = 5.1 (95% CI: 2.29-11.40, P(trend) = 3.8 × 10(-5)) for carriers of all high-risk genotypes. CONCLUSIONS: These results suggest that variants in genes within the inflammation pathway may play a role in the development of PC, however, further studies are needed to replicate our findings. IMPACT: These results underline the potential importance of the inflammation pathway in PC development and progression.

Use of aspirin and other nonsteroidal antiinflammatory medications in relation to prostate cancer risk.

Recent interest has focused on the role that inflammation may play in the development of prostate cancer and whether use of aspirin or other nonsteroidal antiinflammatory drugs (NSAIDs) affects risk. In a population-based case-control study designed to investigate the relation between these medications and prostate cancer risk, detailed exposure data were analyzed from 1,001 cases diagnosed with prostate cancer between January 1, 2002, and December 31, 2005, and 942 age-matched controls from King County, Washington. A significant 21% reduction in the risk of prostate cancer was observed among current users of aspirin compared with nonusers (95% confidence interval (CI): 0.65, 0.96). Long-term use of aspirin (>5 years: odds ratio = 0.76, 95% CI: 0.61, 0.96) and daily use of low-dose aspirin (odds ratio = 0.71, 95% CI: 0.56, 0.90) were also associated with decreased risk. There was no evidence that the association with aspirin use varied by disease aggressiveness, but there was effect modification (P(interaction) = 0.02) with a genetic variant in prostaglandin-endoperoxide synthase 2 (PTGS2) (rs12042763). Prostate cancer risk was not related to use of either nonaspirin NSAIDs or acetaminophen. These results contribute further evidence that aspirin may have chemopreventive activity against prostate cancer and highlight the need for additional research.

Genetic variation in DNA repair genes and prostate cancer risk: results from a population-based study.

OBJECTIVE: DNA repair pathways are crucial to prevent accumulation of DNA damage and maintain genomic stability. Alterations of this pathway have been reported in many cancers. An increase in oxidative DNA damage or decrease in DNA repair capacity with aging or due to germline genetic variation may affect prostate cancer risk. METHODS: Pooled data from two population-based studies (1,457 cases and 1,351 controls) were analyzed to examine associations between 28 single-nucleotide polymorphisms (SNPs) in nine DNA repair genes (APEX1, BRCA2, ERCC2, ERCC4, MGMT, MUTYH, OGG1, XPC, and XRCC1) and prostate cancer risk. We also explored whether associations varied by smoking, by family history or clinical features of prostate cancer. RESULTS: There were no associations between these SNPs and overall risk of prostate cancer. Risks by genotype also did not vary by smoking or by family history of prostate cancer. Although two SNPs in BRCA2 (rs144848, rs1801406) and two SNPs in ERCC2 (rs1799793, rs13181) showed stronger associations with high Gleason score or advanced-stage tumors when comparing homozygous men carrying the minor versus major allele, results were not statistically significantly different between clinically aggressive and non-aggressive tumors. CONCLUSION: Overall, this study found no associations between prostate cancer and the SNPs in DNA repair genes. Given the complexity of this pathway and its crucial role in maintenance of genomic stability, a pathway-based analysis of all 150 genes in DNA repair pathways, as well as exploration of gene-environment interactions may be warranted.

Prostate cancer specific mortality and Gleason 7 disease differences in prostate cancer outcomes between cases with Gleason 4 + 3 and Gleason 3 + 4 tumors in a population based cohort.

PURPOSE: Reports of biochemical recurrence after prostate cancer primary therapy show differences between Gleason 4 + 3 and 3 + 4 tumors. To our knowledge these findings have not been explored for prostate cancer specific mortality. In this population based cohort we determined prostate cancer outcomes at different Gleason scores, particularly the different Gleason 7 patterns. MATERIALS AND METHODS: Men 40 to 64 years old who were diagnosed with prostate cancer between 1993 and 1996 in King County, Washington comprised the cohort. Recurrence/progression was determined by followup survey and medical record review. Mortality and cause of death were obtained from the Seattle-Puget Sound Surveillance, Epidemiology and End Results registry. HRs for outcomes were determined by Cox proportional hazards regression analysis. RESULTS: In 753 men with prostate cancer 65 prostate cancer specific deaths occurred during a median followup of 13.2 years. The 10-year prostate cancer specific survival rate for Gleason 6 or less, 3 + 4, 4 + 3 and 8-10 disease was 98.4%, 92.1%, 76.5% and 69.9%, respectively. Compared to patients with Gleason 3 + 4 disease those with Gleason 4 + 3 tumors were at increased risk for prostate cancer specific mortality in the unadjusted and multivariate models (HR 2.80, 95% CI 1.26-6.18 and HR 2.12, 95% CI 0.87-5.17, respectively). In men undergoing curative therapy with radical prostatectomy or radiation therapy there was an increased risk of recurrence/progression (HR 2.10, 95% CI 1.08-4.08) and prostate cancer specific mortality (HR 3.17, 95% CI 1.04-9.67) in those with Gleason 4 + 3 vs 3 + 4 tumors in the multivariate models. No difference in prostate cancer specific mortality was seen between Gleason 4 + 3 and 8-10 tumors. CONCLUSIONS: Gleason 7 prostate cancer shows heterogeneous behavior with Gleason 3 + 4 and 4 + 3 tumors conferring different prostate cancer specific mortality. These data provide important information for counseling patients with Gleason 7 prostate cancer on the natural history of the disease and may inform treatment decisions.

Evaluation of 8q24 and 17q risk loci and prostate cancer mortality.

PURPOSE: Variants at chromosomal loci 8q24 and 17q are established risk factors for prostate cancer. Many studies have confirmed the findings for risk, but few have examined aggressiveness and other clinical variables in detail. Additionally, Gleason score is typically used as a surrogate for the primary end point of prostate cancer mortality. We investigated whether the 8q24 and 17q risk variants are associated with clinical variables as well as prostate cancer mortality. EXPERIMENTAL DESIGN: In the Physicians' Health Study (1,347 cases and 1,462 controls), the Dana-Farber Harvard Cancer Center Specialized Program of Research Excellence (Gelb Center; 3,714 cases), and the Fred Hutchinson Cancer Research Center King County Case-Control Studies (1,308 cases and 1,266 controls), we examined eight previously identified 8q24 and 17q risk variants for association with prostate cancer mortality in men of European ancestry. We considered associations with other surrogate markers of prostate cancer aggressiveness, such as Gleason score, pathologic stage, prostate-specific antigen at diagnosis, and age at diagnosis. RESULTS: Six of the eight variants were confirmed as prostate cancer risk factors. Several variants were nominally associated with age at diagnosis; when totaling all alleles for single nucleotide polymorphisms significantly associated with risk, each additional allele decreased age at diagnosis by an average of 6 months in the Physicians' Health Study (P = 0.0005) and 4 months in the Dana-Farber Harvard Cancer Center Specialized Program of Research Excellence (Gelb Center) cohort (P = 0.0016). However, there were no statistically significant associations with prostate cancer mortality. CONCLUSIONS: Our results suggest that the 8q24 and 17q prostate cancer risk variants may influence age at diagnosis but not disease aggressiveness.

Analysis of recently identified prostate cancer susceptibility loci in a population-based study: associations with family history and clinical features.

PURPOSE: Two recent genome-wide association studies have highlighted several single nucleotide polymorphisms (SNPs) purported to be associated with prostate cancer risk. We investigated the significance of these SNPs in a population-based study of Caucasian men, testing the effects of each SNP in relation to family history of prostate cancer and the clinicopathologic features of the disease. EXPERIMENTAL DESIGN: We genotyped 13 SNPs in 1,308 prostate cancer patients and 1,267 unaffected controls frequency matched to cases by five-year age groups. The association of each SNP with disease risk stratified by family history of prostate cancer and clinicopathologic features of the disease was calculated with the use of logistic and polytomous regression. RESULTS: These results confirm the importance of multiple, previously reported SNPs in relation to prostate cancer susceptibility; 11 of the 13 SNPs were significantly associated with risk of developing prostate cancer. However, none of the SNP associations were of comparable magnitude with that associated with having a first-degree family history of the disease. Risk estimates associated with SNPs rs4242382 and rs2735839 varied by family history, whereas risk estimates for rs10993994 and rs5945619 varied by Gleason score. CONCLUSIONS: Our results confirm that several recently identified SNPs are associated with prostate cancer risk; however, the variant alleles only confer a low to moderate relative risk of disease and are generally not associated with more aggressive disease features.

Clinical utility of five genetic variants for predicting prostate cancer risk and mortality.

BACKGROUND: A recent report suggests that the combination of five single-nucleotide polymorphisms (SNPs) at 8q24, 17q12, 17q24.3 and a family history of the disease may predict risk of prostate cancer. The present study tests the performance of these factors in prediction models for prostate cancer risk and prostate cancer-specific mortality. METHODS: SNPs were genotyped in population-based samples from Caucasians in King County, Washington. Incident cases (n = 1,308), aged 35-74, were compared to age-matched controls (n = 1,266) using logistic regression to estimate odds ratios (OR) associated with genotypes and family history. Cox proportional hazards models estimated hazard ratios for prostate cancer-specific mortality according to genotypes. RESULTS: The combination of SNP genotypes and family history was significantly associated with prostate cancer risk (p(trend) = 1.5 x 10(-20)). Men with > or =5 risk factors had an OR of 4.9 (95% CI 1.6-18.5) compared to men with none. However, this combination of factors did not improve the ROC curve after accounting for known risk predictors (i.e., age, serum PSA, family history). Neither the individual nor combined risk factors was associated with prostate cancer-specific mortality. CONCLUSION: Genotypes for five SNPs plus family history are associated with a significant elevation in risk for prostate cancer and may explain up to 45% of prostate cancer in our population. However, they do not improve prediction models for assessing who is at risk of getting or dying from the disease, once known risk or prognostic factors are taken into account. Thus, this SNP panel may have limited clinical utility.

Vasectomy and the risk of prostate cancer.

PURPOSE: While the weight of evidence shows no association overall between vasectomy and prostate cancer, there has been some suggestion that an association may exist in subgroups, such as men who have a family history of prostate cancer, men who undergo vasectomy at a younger age or when several decades have passed since the procedure. Studies of risk with long latency periods have been hampered by small sample sizes in subgroups since vasectomy only became widely used in the 1960s and generally prostate cancer has a long latency period. MATERIALS AND METHODS: We analyzed data from a recent population based case-control study that was designed specifically to address this issue of risk in subgroups. Interviews were completed with 1,001 men diagnosed with prostate cancer from January 1, 2002 through December 31, 2005 in the Seattle-Puget Sound region and in 942 matched control men. Subjects were black and white men between the ages of 35 and 74 years. Data were analyzed using unconditional logistic regression to calculate the OR as an estimate of the relative risk of prostate cancer associated with various vasectomy parameters. RESULTS: The prevalence of vasectomy was similar in cases and controls (36.2% and 36.1%, respectively, adjusted OR 1.0, 95% CI 0.8-1.2). There were also no associations between prostate cancer and age at vasectomy, years elapsed since vasectomy or calendar year of vasectomy. CONCLUSIONS: These findings indicate that there is no association between vasectomy and the risk of prostate cancer.

Multiple novel prostate cancer predisposition loci confirmed by an international study: the PRACTICAL Consortium.

A recent genome-wide association study found that genetic variants on chromosomes 3, 6, 7, 10, 11, 19 and X were associated with prostate cancer risk. We evaluated the most significant single-nucleotide polymorphisms (SNP) in these loci using a worldwide consortium of 13 groups (PRACTICAL). Blood DNA from 7,370 prostate cancer cases and 5,742 male controls was analyzed by genotyping assays. Odds ratios (OR) associated with each genotype were estimated using unconditional logistic regression. Six of the seven SNPs showed clear evidence of association with prostate cancer (P = 0.0007-P = 10(-17)). For each of these six SNPs, the estimated per-allele OR was similar to those previously reported and ranged from 1.12 to 1.29. One SNP on 3p12 (rs2660753) showed a weaker association than previously reported [per-allele OR, 1.08 (95% confidence interval, 1.00-1.16; P = 0.06) versus 1.18 (95% confidence interval, 1.06-1.31)]. The combined risks associated with each pair of SNPs were consistent with a multiplicative risk model. Under this model, and in combination with previously reported SNPs on 8q and 17q, these loci explain 16% of the familial risk of the disease, and men in the top 10% of the risk distribution have a 2.1-fold increased risk relative to general population rates. This study provides strong confirmation of these susceptibility loci in multiple populations and shows that they make an important contribution to prostate cancer risk prediction.

Statin use and risk of prostate cancer: results from a population-based epidemiologic study.

Epidemiologic studies of statin use in relation to prostate cancer risk have been inconclusive. Recent evidence, however, suggests that longer-term use may reduce risk of more advanced disease. The authors conducted a population-based study of 1,001 incident prostate cancer cases diagnosed in 2002-2005 and 942 age-matched controls from King County, Washington, to evaluate risk associated with statin use. Logistic regression was used to generate odds ratios for ever use, current use, and duration of use. No overall association was found between statin use and prostate cancer risk (odds ratio (OR) = 1.0, 95% confidence interval (CI): 0.8, 1.2 for current use; OR = 1.1, 95% CI: 0.7, 1.8 for >10 years' use), even for cases with more advanced disease. Risk related to statin use, however, was modified by body mass index (interaction p = 0.04). Obese men (BMI > or =30 kg/m2) who used statins had an increased risk (OR = 1.5, 95% CI: 1.0, 2.2) relative to obese nonusers, with a stronger association for longer-term use (OR = 1.8, 95% CI: 1.1, 3.0 for > or =5 years' use). Although statin use was not associated with overall prostate cancer risk, the finding of an increased risk associated with statin use among obese men, particularly use for extended durations, warrants further investigation.

Multiple independent genetic variants in the 8q24 region are associated with prostate cancer risk.

Recently, the 8q24 region has been identified as a prostate cancer susceptibility locus in a genome-wide scan of prostate cancer families in Iceland and an admixture scan of African Americans. Further investigations of variants at 8q24 have shown the existence of additional single nucleotide polymorphisms (SNPs) that enhance prostate cancer risk, suggesting the possibility of multiple regions harboring variants for the disease. In the present population-based study of Caucasians (1,308 cases and 1,266 controls) and African Americans (149 cases and 85 controls), we tested the association between prostate cancer and 23 SNPs in the 8q24 region. Fourteen SNPs in Caucasians and 5 SNPs in African Americans were significantly associated with risk of prostate cancer after adjusting for multiple comparisons; of these, 5 SNPs in Caucasians and 3 in African Americans were independently associated with risk. The strongest association was for rs6983561 (carriers of any C allele) with an odds ratio of 1.6 (95% confidence interval, 1.1-2.1) in Caucasians; variants in rs979200, rs1016343, rs7837328, and rs10090154 were also independently associated with risk. In African Americans, the strongest association was for rs7000448 (carriers of any T allele) with an odds ratio of 3.4 (95% confidence interval, 1.3-8.7). In addition, two SNPs that extend the boundaries of the 8q24 region were significantly associated with risk: rs979200 at the centromeric boundary and rs3891248, located in the first intron of the c-MYC gene (IVS1-355), which identifies a new telomeric boundary.

Polymorphisms in the glutathione S-transferase M1, T1, and P1 genes and prostate cancer prognosis.

BACKGROUND: Polymorphisms in glutathione S-transferase (GST) genes can increase oxidative stress, which may affect cancer prognosis. The aim of this study was to examine associations between GSTM1, T1, or P1 genetic variants and prostate cancer outcomes. METHODS: A population-based cohort of men (n = 752) from King County, Washington, diagnosed with prostate cancer in 1993-1996, and under long-term surveillance for mortality completed a follow-up survey about prostate cancer recurrence/progression. Cox PH models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for deaths from prostate cancer or other causes and prostate cancer recurrence/progression. RESULTS: There were 50 prostate cancer-specific deaths, 65 deaths from other causes, and 143 recurrence/progressions events during an average 9.6 years of follow-up. The adjusted HR for prostate cancer mortality was 3.8 (95% CI 1.6-8.9) among Caucasian men with the GSTM1-null genotype. There were no differences, however, in mortality from other causes or prostate cancer recurrence/progression between men with GSTM1-null versus not-null genotypes. The GSTT1 and GSTP1 genotypes were not associated with any of these outcomes. DISCUSSION: Results suggest that the GSTM1 genotype may be a useful biomarker to identify patients at higher risk for fatal prostate cancer.