Citations

Key Points Imatinib improves outcomes for adults with Ph+ ALL at least in part by facilitating allogeneic stem cell transplant. Allogeneic hematopoietic stem cell transplant is not dispensible in Ph+ ALL in the imatinib era.

ABSTRACTGenes that alter disease risk only in combination with certain environmental exposures may not be detected in genetic association analysis. By using methods accounting for gene‐environment (G × E) interaction, we aimed to identify novel genetic loci associated with breast cancer risk. Up to 34,475 cases and 34,786 controls of European ancestry from up to 23 studies in the Breast Cancer Association Consortium were included. Overall, 71,527 single nucleotide polymorphisms (SNPs), enriched for association with breast cancer, were tested for interaction with 10 environmental risk factors using three recently proposed hybrid methods and a joint test of association and interaction. Analyses were adjusted for age, study, population stratification, and confounding factors as applicable. Three SNPs in two independent loci showed statistically significant association: SNPs rs10483028 and rs2242714 in perfect linkage disequilibrium on chromosome 21 and rs12197388 in ARID1B on chromosome 6. While rs12197388 was identified using the joint test with parity and with age at menarche (P‐values = 3 × 10−07), the variants on chromosome 21 q22.12, which showed interaction with adult body mass index (BMI) in 8,891 postmenopausal women, were identified by all methods applied. SNP rs10483028 was associated with breast cancer in women with a BMI below 25 kg/m2 (OR = 1.26, 95% CI 1.15–1.38) but not in women with a BMI of 30 kg/m2 or higher (OR = 0.89, 95% CI 0.72–1.11, P for interaction = 3.2 × 10−05). Our findings confirm comparable power of the recent methods for detecting G × E interaction and the utility of using G × E interaction analyses to identify new susceptibility loci.

Abstract Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70 917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46 450 breast cancer cases and 42 461 controls of European origin as part of a multi-consortium project (COGS). First, SNPs were preselected based on evidence (P < 0.01) of a per-allele main effect, and all two-way combinations of those were evaluated by a per-allele (1 d.f.) test for interaction using logistic regression. Second, all 2.5 billion possible two-SNP combinations were evaluated using Boolean operation-based screening and testing, and SNP pairs with the strongest evidence of interaction (P < 10−4) were selected for more careful assessment by logistic regression. Under the first approach, 3277 SNPs were preselected, but an evaluation of all possible two-SNP combinations (1 d.f.) identified no interactions at P < 10−8. Results from the second analytic approach were consistent with those from the first (P > 10−10). In summary, we observed little evidence of two-way SNP interactions in breast cancer susceptibility, despite the large number of SNPs with potential marginal effects considered and the very large sample size. This finding may have important implications for risk prediction, simplifying the modelling required. Further comprehensive, large-scale genome-wide interaction studies may identify novel interacting loci if the inherent logistic and computational challenges can be overcome.

Background— In aortic valve stenosis (AS), the occurrence of heart failure symptoms does not always correlate with severity of valve stenosis and left ventricular (LV) function. Therefore, we tested the hypothesis that symptomatic patients with AS have impaired diastolic, longitudinal systolic function, and left atrial dilatation compared with asymptomatic patients. Methods and Results— In a retrospective descriptive study, we compared clinical characteristics and echocardiographic parameters in 99 symptomatic and 139 asymptomatic patients with severe AS and LV ejection fraction ≥50%. Independent predictors of symptomatic state were identified using logistic regression analysis. Symptomatic patients were younger (72±10 versus 76±12 years of age; P =0.002), presented less often with atrial fibrillation (13% versus 24%; P =0.05) and chronic obstructive pulmonary disease (2% versus 19%; P <0.001), and had a lower prevalence of hypertension (73% versus 40%; P <0.001). Despite similar AS severity, symptomatic patients had higher LV mass index (120±39 versus 95±25 g/m 2 ; P <0.0001), increased relative wall thickness (0.61±0.15 versus 0.50±0.11; P <0.0001), shorter mitral deceleration time (199±58 versus 268±62 ms; P <0.0001), and increased left atrial volume index (49±18 versus 42±15 mL/m 2 ; P =0.02). When adjusting for age, history of hypertension, atrial fibrillation, and chronic obstructive pulmonary disease in a multivariable logistic regression analysis, LV mass index, relative wall thickness, left atrial volume index, and deceleration time were still associated with the presence of symptoms. Conclusions— The present study demonstrates that symptomatic status in severe AS is associated with impaired diastolic function, LV hypertrophy, concentric remodeling, and left atrial dilatation when corrected for indices of AS severity. Clinical Trial Registration— URL: http://www.clinicaltrials.gov . Unique identifier: NCT00294775.

Clonal eosinophilic disorders are rare among hematological malignancies. Most eosinophilia tends to be due to secondary causes such as infections, hypersensitivity conditions, drug reactions, and connective tissue disorders. The presence of a primary clonal eosinophilic disorder such as chronic eosinophilic leukemia—not otherwise specified (NOS) in the presence of a synchronous large cell lymphoma—is rare making the diagnosis challenging. We present a case of a 51-year-old female with the aforementioned presentation and demonstrate the extensive workup performed to identify the diagnosis.

BackgroundThe cold agglutinin (CAGG) titer is offered at our institution to aid in diagnosing cold agglutinin disease (CAD). Our goal was to create a seasonally adjusted reference range using prospective samples and compare it to a reference range generated retrospectively.Study Design and MethodsProspective CAGG titer testing was performed on healthy blood donors. Retrospective electronic analysis was performed on patients in two groups defined by current and historical testing methods. Blood donor testing was performed in January and July to determine if seasonal variation existed. Retrospective patients with conditions associated with CAD were excluded from analysis. Additional prospective CAGG testing using reference range program volunteers was performed to verify blood donor and patient result differences.ResultsTiters from the blood donor and patient cohorts had no age association (p > 0.44). Titers from those same cohorts did not show winter/summer variation (p > 0.11). No sex association was found with titer reference ranges in the blood donor and historical patient cohort. A sex association was found with titers in the current method patient cohort (male 64 to 512 and female ≤64; p < 0.0001). Blood donor CAGG titer lower 95% reference range was not more than 4 while historical and current patient cohorts ranges were not more than 32 and not more than 64, respectively. Reference range volunteers confirmed the narrow reference range in healthy individuals when compared to patients and blood donors.ConclusionProspective blood donor CAGG titers were lower than retrospective patient cohorts. This may be due to blood donors representing a healthier population than the patient cohorts.

AbstractMutations in superoxide dismutase 1 (SOD1) associated with familial amyotrophic lateral sclerosis induce misfolding and aggregation of the protein with the inherent propensity of mutant SOD1 to aggregate generally correlating, with a few exceptions, to the duration of illness in patients with the same mutation. One notable exception was the D101N variant, which has been described as wild‐type‐like. The D101N mutation is associated with rapidly progressing motor neuron degeneration but shows a low propensity to aggregate. By assaying the kinetics of aggregation in a well‐characterized cultured cell model, we show that the D101N mutant is slower to initiate aggregation than the D101G mutant. In this cell system of protein over‐expression, both mutants were equally less able to acquire Zn than WT SOD1. In addition, both of these mutants were equivalently less able to fold into the trypsin‐resistant conformation that characterizes WT SOD1. A second major difference between the two mutants was that the D101N variant more efficiently formed a normal intramolecular disulfide bond. Overall, our findings demonstrate that the D101N and D101G variants exhibit clearly distinctive features, including a different rate of aggregation, and yet both are associated with rapidly progressing disease. image We sought to better characterize the biochemical features of two SOD1 mutants associated with rapidly progressing disease, the D101G and wild‐type like D101N mutants. We observed using our cell model that that although similarities were observed when comparing the ability to bind metals and resist trypsin digestion, these mutants differed in their ability to initiate aggregation and to form the normal intramolecular disulfide bond. We conclude that these mutants exhibit distinct properties despite producing similar disease phenotypes in patients.

Objective Genome-wide association studies have identified a large number of single nucleotide polymorphisms (SNPs) associated with a wide array of cancer sites. Several of these variants demonstrate associations with multiple cancers, suggesting pleiotropic effects and shared biological mechanisms across some cancers. We hypothesised that SNPs previously associated with other cancers may additionally be associated with colorectal cancer. In a large-scale study, we examined 171 SNPs previously associated with 18 different cancers for their associations with colorectal cancer. Design We examined 13 338 colorectal cancer cases and 40 967 controls from three consortia: Population Architecture using Genomics and Epidemiology (PAGE), Genetic Epidemiology of Colorectal Cancer (GECCO), and the Colon Cancer Family Registry (CCFR). Study-specific logistic regression results, adjusted for age, sex, principal components of genetic ancestry, and/or study specific factors (as relevant) were combined using fixed-effect meta-analyses to evaluate the association between each SNP and colorectal cancer risk. A Bonferroni-corrected p value of 2.92×10 −4 was used to determine statistical significance of the associations. Results Two correlated SNPs—rs10090154 and rs4242382—in Region 1 of chromosome 8q24, a prostate cancer susceptibility region, demonstrated statistically significant associations with colorectal cancer risk. The most significant association was observed with rs4242382 (meta-analysis OR=1.12; 95% CI 1.07 to 1.18; p=1.74×10 −5 ), which also demonstrated similar associations across racial/ethnic populations and anatomical sub-sites. Conclusions This is the first study to clearly demonstrate Region 1 of chromosome 8q24 as a susceptibility locus for colorectal cancer; thus, adding colorectal cancer to the list of cancer sites linked to this particular multicancer risk region at 8q24.

Abstract Background: Terminal duct lobular units (TDLUs) are the anatomical source of most breast cancers. TDLU involution, manifested as atrophy and loss of TDLUs, is associated with reduced breast cancer risk. We hypothesize that breast cancer susceptibility loci are associated with TDLU involution. Accordingly, we evaluated relationships between 25 established breast cancer susceptibility markers and their association with TDLU involution in the Susan G. Komen for the Cure® Tissue Bank (KTB). Methods: Subjects were women ages 18-84 (N=680), who had no personal history of any cancer, were not currently taking menopausal hormones, completed a risk factor questionnaire, provided an Oragene® saliva sample, and donated a 10-guage needle tissue core from the upper outer breast quadrant for research. We genotyped 25 known single nucleotide polymorphisms (SNPs) associated with breast cancer risk using TaqMan® assays. Pathologists masked to risk data classified three features inversely related to TDLU involution using one histological section of breast tissue/subject: number of TDLUs per section (TDLU density), TDLU diameters and number of acini per TDLU. SNPS were compared to metrics of TDLU involution categorized in tertiles: TDLU density (0-1, 2-8, 9+), mean TDLU diameter (53-291, 292-415, 416-1143 microns), and mean number of acini per TDLU (2-10, 11-20, 21+). We estimated age-adjusted per-allele odds ratios (ORs) and 95% confidence intervals (CIs) using ordinal logistic regression models with TDLU measures as the outcome and SNPs as the explanatory variables. Associations with TDLU density were based on up to 680 women with genotype data, while associations with diameter and acini measures were based on up to 469 women with observed TDLUs. Results: The rs3803662 (TOX3/TNRC9) SNP risk allele showed an association with increased TDLU density, larger TDLUs, and more acini in TDLUs (TDLU density per-allele OR=1.29 95%CI=1.04-1.60; TDLU diameter OR=1.32 95%CI=1.00-1.74; and TDLU acini OR=1.34 95%CI=1.02-1.77), consistent with previous observations of significant associations seen for this SNP with mammographic density (a well-established risk factor for breast cancer), breast cancer risk, and survival of breast cancer. In addition, we observed associations for four other SNPs with TDLU density (rs311499, rs10483813, rs2981582, rs3817198), for one other SNP with mean TDLU diameter (rs11249433), and for three other SNPs with mean TDLU acini number (rs704010, rs10941679, rs11249433). Conclusion: These data suggest that breast cancer susceptibility SNPs may be associated with TDLU involution levels, and could represent a mechanism by which they influence breast cancer risk. These findings warrant replication in other studies and provide support for the concept that levels of TDLU involution represent an intermediate marker of breast cancer risk. Citation Format: Jonine D. Figueroa, Gretchen L. Gierach, Ruth Pfeiffer, Stephen Chanock, Louise Brinton, Deesha A. Patel, Daniel Visscher, Carolyn Mies, Stephen Hewitt, Susan Clare, Anna Maria Storniolo, Mark Sherman. Associations between breast cancer susceptibility markers and terminal duct lobular unit involution in normal breast tissues among women from the Susan G. Komen for the Cure® Tissue Bank. [abstract]. In: Proceedings of the AACR Special Conference on Post-GWAS Horizons in Molecular Epidemiology: Digging Deeper into the Environment; 2012 Nov 11-14; Hollywood, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2012;21(11 Suppl):Abstract nr 58.