44 Background: We investigated the association of germline genetic variation in hormone biosynthesis and metabolism genes with prostate cancer specific mortality in a cohort of advanced prostate cancer patients. Methods: We successfully genotyped 852 single nucleotide polymorphisms (SNPs) from 97 genes in a cohort of 267 advanced prostate cancer patients at the time of progression to castration recurrence (CRPC) during on-going androgen ablation. Tagging SNPs with minor allele frequency (MAF) of >5% and r2 ≥0.8 were selected from HapMap, NIEHS and Seattle SNP databases. Medical records were queried for cause of death. The primary endpoint of time to prostate cancer specific mortality (PCSM), was pre-defined as time from development of CRPC to death from prostate cancer progression. Principle components analysis was used for gene-levels tests, and to account for multiple testing, we calculated the false discovery rate (FDR). For SNP level results, hazard ratios (HR) and 95% confidence intervals (CI) were estimated using cox regression. Results: The median age of the cohort was 72 years at CRPC. 43% had a Gleason score (GS)=8-10, 33% a GS=7, and 24% a GS<7. After a median follow-up of 1.8 years (IQ range: 0.8–3.3 years), 139 patients died, of which 107 were due to prostate cancer progression. In unadjusted gene level analyses, UGT1A7 (p=0.0059; FDR=0.19), UGT1A10 (p=0.0017; FDR=0.17) and UGT1A3 (p=0.0037; FDR=0.18) were associated with PCSM. After adjusting for age and GS, SNPs strongly associated with PCSM are listed in the Table . Conclusions: Variation in UGT genes involved in hormone metabolism yield prognostic information in CRPC. Further validation is needed to develop these as prognostic biomarkers. [Table: see text] No significant financial relationships to disclose.
Use of variation in sex steroid methyl transferases to predict efficacy of androgen-deprivation therapy (ADT) in advanced prostate cancer.
14 Background: We evaluated the association of germline variation in genes regulating hormonal pathways with duration of treatment response in prostate cancer patients receiving ADT, focusing on genes in the androgen biosynthesis (the C4 Δ; C5 Δ; C21 CYP pathways and the alternate “backdoor pathway”) and metabolism pathways. Methods: We successfully genotyped 747 single nucleotide polymorphisms (SNPs) from 84 genes in a cohort of 304 patients with advanced prostate cancer who progressed on ADT. Tagging SNPs with a minor allele frequency (MAF) of >5% and r2 ≥0.8 were selected from HapMap, NIEHS and Seattle SNP databases. The primary endpoint was time to ADT failure, and we conducted a gene-level test (principal components), along with individual SNP level tests adjusted for patient age and Gleason score. To account for multiple testing, we calculated the false discovery rate (FDR), and FDRs of 0.10 were considered noteworthy. Results: The median age of the cohort at ADT failure was 72 years (range 65-78 years), and the overall median time to ADT failure was 3.21 years (IQ [25-75]: 1.54-6.20 years). At the gene level, TRMT11 (tRNA methyltransferase 11 homologue) showed the strongest association with time to ADT failure (p<0.0008; adjusted p-value for FDR-0.068). Two of four TRMT11 tag SNPs were associated with time to ADT failure. The first was the intronic SNP rs1268121 (A>G) with a MAF of 15%, for which there was a positive association of median time to ADT failure with the number of variant alleles (p=0.023): 3.1 years for 0, 4.1 years for 1, and 5.9 years for 2 variant alleles. The second was the SNP rs6900796 (A>G) in the 3' untranscribed region with a MAF of 49%, for which the median time to ADT failure was 2.6 years for 0, 2.5 years for 1, and 3.8 years for 2 variant alleles (p=0.023). Four additional genes showed an association with ADT response at the p<0.10 level, including LOC390956, PRMT3, SLC7A6OS, and WBSCR22, although all FDRs were >0.95. Conclusions: Variation in TRMT11 was associated with time to ADT failure. Confirmation of these findings in an independent cohort is needed. No significant financial relationships to disclose.
Cytotoxic T Cells and Granzyme B Associated with Improved Colorectal Cancer Survival in a Prospective Cohort of Older Women
Benzene exposure is one of the few well‐established risk factors for myeloid malignancy. Exposure to other chemicals has been inconsistently associated with hematologic malignancies. We evaluated occupational and residential chemical exposures as risk factors for acute myeloid leukemia (AML) and myelodysplastic syndromes (MDS) using population‐based data. AML and MDS cases were identified by the Minnesota Cancer Surveillance System. Controls were identified through the Minnesota driver's license/identification card list. Chemical exposures were measured by self‐report. Unconditional logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CI). We included 265 MDS cases, 420 AML cases and 1388 controls. We observed significant associations between both MDS and AML and benzene (OR = 1.77, 95% CI 1.19, 2.63 and OR = 2.10, 95% CI 1.35, 3.28, respectively) and vinyl chlorides (OR = 2.05, 95% CI 1.15, 3.63 and OR = 2.81, 95% CI 1.14, 6.92). Exposure to soot, creosote, inks, dyes and tanning solutions and coal dust were associated with AML (range ORs = 2.68–4.03), while no association was seen between these exposures and MDS (range ORs = 0.57–1.68). Pesticides and agricultural chemicals were not significantly associated with AML or MDS. Similar results were observed in analyses stratified by sex. In addition to providing risk estimates for benzene from a population‐based sample, we also identified a number of other occupational and residential chemicals that were significantly associated with AML; however, all exposures were reported by only a small percentage of cases (≤10%). While chemical exposures play a clear role in the etiology of myeloid malignancy, these exposures do not account for the majority of cases.
Early event status informs subsequent outcome in newly diagnosed follicular lymphoma
Abstract Background: Associations of medical history, lifestyle, and family history of hematological disorders with risk of chronic lymphocytic leukemia (CLL) have been previously established (1), but these exposures have not been well-studied as contributing factors to CLL prognosis. Here we investigate the association of these exposures with time to first treatment (TTFT) in 730 CLL patients. Methods: Newly diagnosed CLL patients seen at the Mayo Clinic between 2002 and 2012 were enrolled. CLL was defined according to the 1996 NCI-Working Group criteria (2). Risk factor data (including body mass index, smoking, alcohol use, sun exposure, having lived on a farm, any allergy, asthma, eczema, blood transfusion, diabetes, rheumatoid arthritis, and family history of hematological malignancy) were collected from self-administered questionnaires. Clinical and prognostic characteristics for CLL were extracted from medical records. Analyses were performed using Cox regression with first treatment as the event. Hazard ratios (HR) and 95% confidence intervals were estimated. We used Bonferroni correction for multiple testing with statistical significance at 0.004. Results: The median age at CLL diagnosis was 63 years (range 36 - 89); 65% were male, and 95% had a Rai stage< III. The median follow up time was 6.3 years, and 40% received treatment. In unadjusted analyses, patients with any history of allergies had significantly longer TTFT (HR = 0.66, 95% CI: 0.51-0.85, P = 0.001). We also observed borderline significance with history of asthma (HR = 0.53, 95% CI: 0.34-0.85, P = 0.008). These associations held after adjusting for important prognostic factors including age, sex, Rai stage, and IGVH mutational status. The other risk factors had non-significant associations (P>0.1). Conclusions: We observed an improved CLL prognosis in patients with a history of any allergies or asthma. These results were independent of other prognostic markers and suggest that an overactive IgE level from environmental exposures may provide insight into the progression of CLL. Literature Cited 1. Slager SL, Benavente Y, Blair A, Vermeulen R, Cerhan JR, Costantini AS, et al. Medical history, lifestyle, family history, and occupational risk factors for chronic lymphocytic leukemia/small lymphocytic lymphoma: the InterLymph Non-Hodgkin Lymphoma Subtypes Project. J Natl Cancer Inst Monogr. 2014 Aug;2014(48):41-51. 2. Cheson BD, Bennett JM, Grever M, Kay N, Keating MJ, O’Brien S, et al. National Cancer Institute-sponsored Working Group guidelines for chronic lymphocytic leukemia: revised guidelines for diagnosis and treatment. Blood. 1996 Jun 15;87(12):4990-7. Citation Format: Sara Beiggi, James M. Foran, O’Byrne Megan, Celine M. Vachon, Timothy G. Call, Neil E. Kay, Tait D. Shanafelt, James R. Cerhan, Susan L. Slager. Medical history, lifestyle, and family history exposures and chronic lymphocytic leukemia outcome. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3453.
Abstract 3427: Chemical exposures and risk of acute myeloid leukemia and myelodysplastic syndromes in a population-based study
Abstract Background Myelodysplastic syndromes (MDS) are a group of clonal hematologic disorders that result in ineffective hematopoiesis. Individuals with MDS have a high risk of progressing to leukemia, with approximately 30% expected to develop acute myeloid leukemia (AML). Benzene exposure is one of the few well-established risk factors for AML, and recent studies suggest it is also a risk factor for MDS. Exposure to other occupational and residential chemicals has been inconsistently associated with hematologic malignancies. In this analysis, we evaluated occupational and residential chemical exposures as risk factors for AML and MDS using population-based data. Methods AML and MDS cases were identified by rapid case ascertainment through the Minnesota Cancer Surveillance System (MCSS). Centralized pathology and cytogenetics reviews were conducted to confirm diagnosis and classify by subtypes. Controls were identified through the Minnesota State driver's license/identification card list. Chemical exposures were measured by self-report and included occupational and residential exposure to a variety of chemicals. Unconditional logistic regression with adjustment for age, sex, previous cancer treatment, income, and farm or rural residence was used to calculate crude and adjusted odds ratios (ORs) and 95% confidence intervals (CI). Smoking, obesity and physical activity were considered as potential confounders but did not change effect estimates by 10% or more. Results We included 265 MDS cases, 420 AML cases, and 1388 controls in this analysis. As expected, we observed significant associations between benzene and both MDS and AML (OR = 1.77, 95% CI 1.17, 2.67 and OR = 2.03, 95% CI 1.45, 2.83, respectively). Exposure to vinyl chlorides was associated with MDS (OR = 2.25, 95% CI 1.32, 3.81) but not with AML (OR = 1.36, 95% CI 0.83, 2.21). Exposure to fertilizers (OR = 1.70, 95% CI 1.11, 2.59), soot (OR = 2.64, 95% CI 1.59, 4.39), creosote (OR = 1.95, 95% CI 1.08, 3.51), inks, dyes and tanning solutions (OR = 1.63, 95% 1.02, 2.60), and coal dust (2.64, 95% CI 1.30, 5.39) were associated with AML, while no association was seen between any of these exposures and MDS (range ORs = 0.78-1.25). No significant associations were observed for occupational pesticide exposures in either group. Discussion These data confirm the importance of benzene as a risk factor for myeloid malignancy and provide risk estimates in a population-based sample. A number of other significant associations with occupational and residential chemicals were observed for AML; however, all exposures were reported by only a small percentage of cases (≤10%). While chemical exposures play a clear role in the etiology of myeloid malignancy, these exposures do not account for the majority of cases. Citation Format: Jenny N. Poynter, Michaela Richardson, Michelle Roesler, Cindy K. Blair, Betsy Hirsch, Phuong Nguyen, Adina Cioc, James R. Cerhan, Erica Warlick. Chemical exposures and risk of acute myeloid leukemia and myelodysplastic syndromes in a population-based study. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3427.
Abstract 1762: Body mass index shows etiologic heterogeneity for risk of diffuse large B-cell lymphoma (DLBCL) subtype defined by cell-of-origin
Abstract Background. DLBCL is the most common non-Hodgkin lymphoma (NHL) subtype in western countries and is known to be clinically heterogeneous. Gene expression profiling has identified two major, biologically distinctive DLBCL subtypes on the basis of their cell-of-origin (COO): the germinal center B-cell (GCB) - characterized by BCL2 rearrangement and C-REL amplification, and activated B-cell (ABC) - characterized by constitutive activation of the NF-kB pathway. Recently, the InterLymph Subtypes Project identified medical history, lifestyle, and family history risk factors for DLBCL using a large pooled analysis of case-control studies. In this study we evaluated these same risk factors for etiologic heterogeneity as defined by DLBCL COO. Methods. For this analysis we used a clinic-based study of newly diagnosed NHL cases and frequency matched controls, enrolled from 2002-2012, with 474 DLBCL cases and 2203 controls. COO was determined clinically using the Hans algorithm, which is based on immunohistochemistry markers using formalin-fixed, paraffin-embedded tumor tissue. Amongst DLBCL cases 107 were ABC, 207 were GCB, and 160 were missing subtype (tissue unavailable). Risk factor data, including body mass index (BMI), smoking, alcohol use, any allergy, asthma, blood transfusion, diabetes, rheumatoid arthritis, sun exposure, lived on a farm and family history of hematologic malignancy, were collected from self-administered questionnaires. Polytomous logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals for ABC and GCB subtypes, adjusted for age and sex. Results. The mean age of cases was 60.4 years with 53% male; the mean age of controls was 61.6 years and 53% male. We identified a strong positive association for BMI with risk of ABC but not GBC DLBCL (p-heterogeneity 0.025). Compared to BMI 18.5-24.9 kg/m2, those with a BMI of 25.0-29.9 (OR = 1.65; 0.93-2.93) or 30+ (OR = 2.61; 1.48-4.62) were at increased risk of ABC DLBCL. There was no association for a BMI of 25.0-29.9 (OR = 0.91; 0.63-1.31) or 30+ (OR = 1.21; 0.83-1.76) with GCB DLBCL. There was no evidence of significant heterogeneity between ABC and GCB DLBCL for the other risk factors that we evaluated. Further adjustment of the BMI association for educational level, smoking, and alcohol only slightly attenuated these findings. Conclusions. We observed a strong positive association of BMI with ABC but not GCB DLBCL. In contrast, other evaluated risk factors showed no heterogeneity by COO. While BMI has not been clearly associated with NHL overall, there has been evidence for an association with DLBCL. The etiologic heterogeneity we observed for ABC DLBCL is notable as BMI is also a strong risk factor for multiple myeloma, another post-germinal center B-cell malignancy. While requiring replication, our findings suggest BMI may influence B-cell neoplasia through effect on post-germinal center pathways. Citation Format: Matthew K. Breitenstein, Megan M. O’Byrne, Andrew L. Feldman, Carrie A. Thompson, William R. Macon, Grzegorz S. Nowakowski, Stephen M. Ansell, Susan L. Slager, Thomas M. Habermann, James R. Cerhan. Body mass index shows etiologic heterogeneity for risk of diffuse large B-cell lymphoma (DLBCL) subtype defined by cell-of-origin. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 1762.