Citations

Abstract Purpose: Preclinical studies suggest that SNPs in the Fc gamma receptor (FCGR) genes influence response to rituximab, but the clinical relevance of this is uncertain. Experimental Design: We prospectively obtained specimens for genotyping in the rituximab extended schedule or re-treatment trial (RESORT) study, in which 408 previously untreated, low tumor burden follicular lymphoma (FL) patients were treated with single agent rituximab. Patients received rituximab in 4 weekly doses and responders were randomized to rituximab re-treatment (RR) upon progression versus maintenance rituximab (MR). SNP genotyping was performed in 321 consenting patients. Results: Response rates to initial therapy and response duration were correlated with the FCGR3A SNP at position 158 (rs396991) and the FCGR2A SNP at position 131 (rs1801274). The response rate to initial rituximab was 71%. No FCGR genotypes or grouping of genotypes were predictive of initial response. A total of 289 patients were randomized to RR (n = 143) or to MR (n = 146). With a median follow-up of 5.5 years, the 3-year response duration in the RR arm and the MR arm was 50% and 78%, respectively. Genotyping was available in 235 of 289 randomized patients. In patients receiving RR (n = 115) or MR (n = 120), response duration was not associated with any FCGR genotypes or genotype combinations. Conclusions: Based on this analysis of treatment-naïve, low tumor burden FL, we conclude that the FCGR3A and FCGR2A SNPs do not confer differential responsiveness to rituximab. Clin Cancer Res; 22(4); 821–6. ©2015 AACR. See related commentary by Cartron et al., p. 787

We recently defined event‐free survival at 24 months (EFS24) as a clinically relevant outcome for patients with DLBCL. Patients who fail EFS24 have very poor overall survival, while those who achieve EFS24 have a subsequent overall survival equivalent to that of the age‐ and sex‐matched general population. Here, we develop and validate a clinical risk calculator (IPI24) for EFS24. Model building was performed on a discovery dataset of 1,348 patients with DLBCL and treated with anthracycline‐based immunochemotherapy. A multivariable model containing age, Ann Arbor stage, normalized serum LDH, ALC, ECOG performance status, bulky disease, and sex was identified. The model was then applied to an independent validation dataset of 1,177 DLBCL patients. The IPI24 score estimates the probability of failing to achieve the EFS24 endpoint for an individual patient. The IPI24 model showed superior discriminatory ability (c‐statistic = 0.671) in the validation dataset compared to the IPI (c‐statistic = 0.649) or the NCCN‐IPI (c‐statistic = 0.657). After recalibration of the model on the combined dataset, the median predicted probability of failing to achieve EFS24 was 36% (range, 12–88%), and the IPI24 showed an EFS24 gradient in all IPI groups. The IPI24 also identified a significant percentage of patients with high risk disease, with over 20% of patients having a 50% or higher risk of failing to achieve EFS24. The IPI24 provides an individual patient level probability of achieving the clinically relevant EFS24 endpoint. It can be used via electronic apps. Am. J. Hematol. 91:179–184, 2016. © 2015 Wiley Periodicals, Inc.

Background Socioeconomic status (SES) is an important predictor for outcomes of chronic diseases. However, it is often unavailable in clinical data. We sought to determine whether an individual housing-based SES index termed HOUSES can influence the likelihood of multiple chronic conditions (MCC) and hospitalisation in a community population. Methods Participants were residents of Olmsted County, Minnesota, aged >18 years, who were enrolled in Mayo Clinic Biobank on 31 December 2010, with follow-up until 31 December 2011. Primary outcome was all-cause hospitalisation over 1 calendar-year. Secondary outcome was MCC determined through a Minnesota Medical Tiering score. A logistic regression model was used to assess the association of HOUSES with the Minnesota tiering score. With adjustment for age, sex and MCC, the association of HOUSES with hospitalisation risk was tested using the Cox proportional hazards model. Results Eligible patients totalled 6402 persons (median age, 57 years; 25th–75th quartiles, 45–68 years). The lowest quartile of HOUSES was associated with a higher Minnesota tiering score after adjustment for age and sex (OR (95% CI) 2.4 (2.0 to 3.1)) when compared with the highest HOUSES quartile. Patients in the lowest HOUSES quartile had higher risk of all-cause hospitalisation (age, sex, MCC-adjusted HR (95% CI) 1.53 (1.18 to 1.98)) compared with those in the highest quartile. Conclusions Low SES, as assessed by HOUSES, was associated with increased risk of hospitalisation and greater MCC health burden. HOUSES may be a clinically useful surrogate for SES to assess risk stratification for patient care and clinical research.

Abstract Our understanding of familial predisposition to lymphoma (collectively defined as non-Hodgkin lymphoma [NHL], Hodgkin lymphoma [HL], and chronic lymphocytic leukemia [CLL]) outside of rare hereditary syndromes has progressed rapidly during the last decade. First-degree relatives of NHL, HL, and CLL patients have an ∼1.7-fold, 3.1-fold, and 8.5-fold elevated risk of developing NHL, HL, and CLL, respectively. These familial risks are elevated for multiple lymphoma subtypes and do not appear to be confounded by nongenetic risk factors, suggesting at least some shared genetic etiology across the lymphoma subtypes. However, a family history of a specific subtype is most strongly associated with risk for that subtype, supporting subtype-specific genetic factors. Although candidate gene studies have had limited success in identifying susceptibility loci, genome-wide association studies (GWAS) have successfully identified 67 single nucleotide polymorphisms from 41 loci, predominately associated with specific subtypes. In general, these GWAS-discovered loci are common (minor allele frequency >5%), have small effect sizes (odds ratios, 0.60-2.0), and are of largely unknown function. The relatively low incidence of lymphoma, modest familial risk, and the lack of a screening test and associated intervention, all argue against active clinical surveillance for lymphoma in affected families at this time.

Abstract Background. Non-steroidal anti-inflammatory drugs (NSAIDs) and statin drugs have been suggested as protective agents against the development of non-Hodgkin lymphoma (NHL), but data are limited, particularly for NHL subtypes. Further, some in vitro, animal and epidemiologic data suggest there may be a synergistic effect of these two agents in cancer prevention, but there has been no test of this hypothesis in NHL. Methods. We evaluated the use of NSAIDs and statins in a clinic-based study of 1683 newly diagnosed cases and 2168 frequency matched controls enrolled from 2002-2012. Regular use (at least once/week for at least one year) of low dose (baby) aspirin, standard or extra strength aspirin, ibuprofen, other NSAIDs (e.g., naproxen, etc), COX-2 inhibitors, as well as statins or other cholesterol lowering drugs, was ascertained using a self-administered questionnaire. Frequency, amount and duration of use were also collected. Unconditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CI), adjusted for age, sex, residence, education, body mass index, smoking history, alcohol use, and history of rheumatoid arthritis and osteoarthritis. Pathologic classification of NHL subtypes was centrally reviewed, and subtype-specific NHL risks were estimated using polychotomous logistic regression for chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL, N = 495), diffuse large B-cell (DLBCL, N = 326), follicular (FL, N = 410) and marginal zone (MZL, N = 134) lymphomas. Results. The mean age of cases was 61.8 years and 59% were men, while the mean age of controls was 61.6 years and 53% were men. We observed an inverse association of low dose aspirin use with risk of NHL (OR = 0.82; 95% CI 0.70-0.96), with stronger associations for more pills per day, longer duration of use and greater number of pill-years. In contrast, we observed no evidence of an association with NHL risk with use of regular or extra-strength aspirin, ibuprofen, other NSAIDs, or COX-2 inhibitors, nor use of statins or other cholesterol-lowering drugs. When we modeled the joint use of low dose aspirin and statins, the strongest inverse association was observed for low dose aspirin use only, followed by use of both aspirin and statins; there was no association with statin use only and no evidence for any interaction of low dose aspirin and statins on NHL risk. For low dose aspirin, the strongest inverse trends were observed for DLBCL, followed by FL and MZL, while there were no consistent associations for CLL/SLL. Conclusions. We found a strong inverse association of low dose aspirin use with risk of NHL and the subtypes of DLBCL, FL, and MZL, but no association for regular/extra strength aspirin, other NSAIDs or statin use. While confirmation is needed, our findings for low dose aspirin but not use of other NSAIDs suggest that anti-platelet or other effects of low dose aspirin may be of etiologic significance in lymphomagenesis. Citation Format: James R. Cerhan, Megan M. O'Bryne, Grzegorz S. Nowakowski, Timothy G. Call, Carrie A. Thompson, Tait D. Shanafelt, William R. Macon, Neil E. Kay, Thomas M. Habermann, Susan L. Slager, Mark Liebow. Aspirin and other nonsteroidal anti-inflammatory drugs, statins, and risk of non-Hodgkin lymphoma. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 877. doi:10.1158/1538-7445.AM2015-877

Abstract Background: The use of anti-estrogen (AE) therapies (selective estrogen receptor modulators [SERMs], aromatase inhibitors [AIs]) in breast cancer (BC) patients was recently associated with risk of developing rheumatoid arthritis (RA) (J Rheum 2015;42:55-9). We attempted to replicate and extend these results using electronic health record (EHR) enhanced cancer registry data that assessed specific AE therapies and also accounted for potential confounding by age, smoking status, and chemotherapy use. Methods: Using cancer registry and EHR data, we identified a cohort of BC patients who were newly diagnosed and treated at Mayo Clinic Rochester from 1998-2011 and had no previous diagnosis of RA. Smoking status at diagnosis, BC treatments and RA at diagnosis and during follow-up were identified using validated EHR-based algorithms. Hazard ratios (HRs) and 95% confidence intervals (CI) from a multivariate Cox model were used to estimate the association of AE use with risk of RA, controlling for age, smoking status at BC diagnosis, and BC chemotherapy use. Results: The analytic cohort of 9,244 newly diagnosed BC patients treated and followed at Mayo Clinic had a median age at diagnosis of 59 years (range 18-97); 32% were smokers; and 29% were treated with chemotherapy. During a median follow-up of 49 months (range 1-191), 19 patients developed RA. Compared to BC patients not receiving any AE therapy, those receiving AI monotherapy, but not SERM monotherapy or both SERMs and AIs, were at significantly increased risk of developing RA (Table). AE Therapy# of RA Cases / # patientsHR* (95% CI)P-valueNo AE therapy6/4,0711.00 (reference)SERMs only5/2,5371.20 (0.36 - 3.95)0.77AIs only5/7126.37 (1.77 - 22.92)0.005SERMs then AIs3/1,8750.90AI then SERMs0/490.91 (0.21 - 3.86)*Adjusted for age, smoking status and use of chemotherapy Conclusions: Our findings indicate that the use of AIs for BC therapy, but not SERMs or SERMs followed by AIs, is associated with increased risk for development of RA, when controlling for smoking status and use of chemotherapy. While needing replication, these findings suggest a specific role for AIs in RA development and suggest pathways that could be targeted to prevent this potential treatment complication. Citation Format: Matthew K. Breitenstein, Ming-Fen Ho, Richard M. Weinshilboum, James R. Cerhan, Jyotishman Pathak, Tim Bongartz, Liewei Wang, James N. Ingle. Association of anti-estrogen therapy in breast cancer patients and subsequent risk of rheumatoid arthritis: An electronic health record study. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr LB-191. doi:10.1158/1538-7445.AM2015-LB-191

Abstract Introduction. CLL has a highly heterogeneous clinical course. In fact, while some patients experience a very aggressive disease, others may present with an indolent form, and eventually die of “other” causes. Here we report the findings of a prospective cohort study evaluating the comorbidities and causes of death in newly diagnosed patients with CLL. Methods. Clinical information was collected from 1174 patients with newly diagnosed CLL (within 9 months of diagnosis), who consented to participate in a prospectively observational trial with standardized longitudinal follow-up between 01/2002 and 11/2014. All comorbidities were diagnosed before presentation. Results. Baseline characteristics are shown in the Table. Co-existent health conditions included: cardiac (28% of patients), respiratory (18%), endocrinological (14%), rheumatologic (42%), gastrointestinal (33%), genitourinary (35%), and psychiatric diseases (17%), diabetes (10%), hyperlipidemia (41%), other cancers (20%), stroke (3%), hypertension (40%), venous thromboembolism (3%), substance abuse (5%), sexually-transmitted infections (3%), and obesity (32%). After a median follow up of 4 years, 197 patients died and the cause of death could be accurately determined in 135 patients. Among these, death was due to CLL progression in 69 (51%) patients, infections in absence of CLL progression in 7 (5%), other cancers in 29 (21%), and other comorbid health conditions in 30 (22%). CLL patients (N = 1174)Number (%), median [range]Age (years)63 [23-89]Males791 (67)Females383 (33)Rai stage 0604 (51)I-II512 (44)III-IV54 (4)missing4 (1)B2M < 4 mg/dL717 (61)> 4 mg/dL97 (8)missing360 (31)CD49d negative638 (54)positive277 (24)missing259 (22)CD38 < 30%780 (66)> 30%332 (28)missing62 (6)ZAP70 negative650 (55)positive380 (32)missing135 (13)IGHV mutated506 (43)unmutated394 (34)missing274 (24)FISH del13q395 (34)negative173 (14)+12276 (23)del11q90 (8)del17p50 (4)other2 (1)missing188 (16) Conclusions. Despite the advanced age at CLL diagnosis, the frequent presence of comorbidities, and the indolent nature of the disease, CLL progression is the ultimate cause of death in 51% of newly diagnosed CLL patients, with an additional 26% dying of causes potentially related to CLL, such as infections and second cancers. The influence of comorbidities and other clinical factors at diagnosis (e.g. smoking, Charlson Comorbidity Index) on survival and ultimate cause of death are being abstracted, and will be presented at the meeting. Citation Format: Paolo Strati, Kari Chaffe, Sara Achenbach, Timothy Call, Neil Kay, James Cerhan, Susan Slager, Tait Shanafelt. Comorbidity and cause of death in patients with chronic lymphocytic leukemia (CLL). [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 5267. doi:10.1158/1538-7445.AM2015-5267

Abstract Diffuse large B-cell lymphoma (DLBCL) is an aggressive subtype of non-Hodgkin lymphoma (NHL) and is the most common NHL subtype diagnosed worldwide. Some epidemiologic data have indicated differences in DLBCL incidence rates and subtype distributions between Eastern Asian and Western countries. The first large-scale genome-wide association study (GWAS) of DLBCL with over 4000 cases conducted among individuals of European ancestry recently identified five independent SNPs that achieved genome-wide significance, and two SNPs that showed a suggestive association with DLBCL risk. In order to evaluate whether Eastern Asians and individuals of European ancestry share similar genetic risk factors for this disease, we attempted to replicate these GWAS findings in a pooled series of 1124 DLBCL cases and 3596 controls from Hong Kong, South Korea, and Thailand. Three of the five genome-wide significant SNPs from the DLBCL GWAS were significantly associated with DLBCL in our study population, including the top finding from the GWAS, EXOC2 rs116446171, which achieved genome-wide significance in our data (per allele OR = 2.04, 95% CI = 1.63-2.56; ptrend = 3.9 × 10-10). Additionally, we observed a significant association with PVT1 rs13255292 (per allele OR = 1.34, 95% CI = 1.19-1.52; ptrend = 2.1 × 10-6), which was the second strongest finding in the GWAS, and with HLA-B rs2523607 (per allele OR = 3.05, 95% CI = 1.32-7.05; ptrend = 0.009). Our study, which provides the first evaluation in Eastern Asians of SNPs definitively associated with DLBCL risk in individuals of European ancestry, indicates that at least some of the genetic factors associated with risk of DLBCL are similar between these populations. Citation Format: Nathaniel Rothman, Bryan A. Bassig, James R. Cerhan, Wing-Yan Au, Hee Nam Kim, Suleeporn Sangrajrang, Wei Hu, Jovic Tse, Sonja Berndt, Tongzhang Zheng, Heping Zhang, Pattarapong Pornsopone, Je-Jung Lee, Hyeoung-Joon Kim, Christine F. Skibola, Joseph Vijai, Laurie Burdette, Meredith Yeager, Paul Brennan, Min-Ho Shin, Raymond Liang, Stephen Chanock, Qing Lan. Genetic susceptibility to diffuse large B-cell lymphoma in a pooled study of three Eastern Asian populations. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4626. doi:10.1158/1538-7445.AM2015-4626

Abstract Introduction Chronic lymphocytic leukemia (CLL) is a B-cell malignancy that is known to have a familial component to disease risk. Although 31 loci have been found to be associated with CLL risk, the functional variant(s) driving these associations is mostly unknown. Here we set out to identify rare, highly-penetrant, cosegregating, susceptibility variants within the known GWAS discovered loci using whole exome sequencing (WES) data in CLL families from the Mayo Clinic family study of B-cell malignancies. Methods We performed WES on germ line DNA of 93 CLL families with two or more members with CLL, using Agilent capture kits and Illumina HiSeq2000. Bioinformatics analyses leveraged the following software packages: Novoalign, Picard, The Genome Analysis Toolkit (GATK), and the Biological Reference Repository (bioR). Quality control filters were implemented; subjects with mis-specified relationships were removed, as were variants with <75% call rate, <8X coverage, and those identified as sequencing artifacts. Each GWAS locus was defined by +/- 1Mb of the top GWAS hit within the locus. Linkage disequilibrium (LD) was calculated among the single nucleotide variants (SNVs) located within each locus. Potentially functional SNVs were identified based on: a) uncommon in public databases (< 5%), b) cosegregating in at least two CLL families, c) being highly conserved and in coding regions, and d) functional prediction status of deleterious (SIFT Score), damaging (PolyPhen Score), and a moderate, or high variant impact (SNP Effect). Results In our 93 CLL families, we sequenced 443 individuals: 160 with CLL, 73 with monoclonal B cell lymphocytosis (MBL), and 210 relatives that were not diagnosed with CLL or MBL at the time of sequencing. Median age of CLL diagnosis was 59 years (range 34-87), and 56% were male. Among the MBL individuals and relatives, the median age at recruitment was 55 years (range 18-93), and 40% were male. A total of 317,666 SNVs passed our sequencing quality control filters of which 10,731 were within +/- 1 Mb of known GWAS hits from 31 loci. Of these SNVs, 91% were in coding regions, 18% were reported to have high or moderate impact, 6% were estimated to be damaging and 6% were predicted to be deleterious. From these SNVs, we identified 76 putatively functional variants distributed across 25 GWAS loci that were cosegregating in the individuals with CLL or MBL in multiple CLL pedigrees. These SNVs were all located in coding regions with high or moderate impact and were predicted to be damaging and deleterious. Of these 76 variants, 56 had a frequency of <0.005 in 1000 Genomes’ European population while the remaining 20 had a frequency of 1%. Conclusions Through WES, we identified a number of rare, penetrant and potentially predisposing SNVs located within 25 of the 31 CLL GWAS-discovered loci. These segregating variants provide a list for future validation and functional studies. Citation Format: Sara Beiggi, Daniel R. O'Brien, Sara J. Achenbach, Kari G. Chaffee, Timothy G. Call, Neil E. Kay, Tait D. Shanafelt, Julie Cunningham, James R. Cerhan, Celine M. Vachon, Susan L. Slager. Cosegregating variants in chronic lymphocytic leukemia (CLL) families that are located in loci discovered by genome wide association studies (GWAS). [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2764. doi:10.1158/1538-7445.AM2015-2764

The World Health Organization classification of non‐Hodgkin lymphoma (NHL) was introduced in 2001. However, its incorporation into clinical practice is not well‐described. We studied the distribution of NHL subtypes in adults diagnosed from 1998 to 2011, evaluated time trends, geo‐demographic correlates, and changes in 5‐year overall survival (OS). We obtained data prospectively collected by the National Cancer Data Base, which covers 70% of US cancer cases. There were 596,476 patients diagnosed with NHL. The major subtypes were diffuse large B‐cell (32.5%), chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL; 18.6%), follicular (17.1%), marginal zone (8.3%), mantle cell (4.1%), peripheral T‐cell not‐otherwise‐specified (1.7%), Burkitt (1.6%), hairy cell (1.1%), lymphoplasmacytic (1.1%), and NHL not‐otherwise‐specified (10.8%). Over the study period, the proportion of NHL not‐otherwise‐specified declined by half, while marginal zone lymphoma doubled. The distribution of major and rare NHL subtypes varied according to demographics but less so geographically or by type of treatment facility. We noted several novel findings among Hispanics (lower proportion of CLL/SLL, but higher Burkitt lymphoma and nasal NK/T‐cell lymphoma), Asians (higher enteropathy‐associated T‐cell and angioimmunoblastic T‐cell lymphomas), Blacks (higher hepatosplenic T‐cell lymphoma), and Native Americans (similar proportions of CLL/SLL and nasal NK/T‐cell lymphoma as Asians). With the exception of peripheral T‐cell not‐otherwise‐specified and hairy cell leukemia, 5‐year OS has improved for all the major NHL subtypes. Am. J. Hematol. 90:790–795, 2015. © 2015 Wiley Periodicals, Inc.