Citations

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.

Abstract Background: The Colorectal Cancer Family Registry (Colon CFR) has served as an international resource for studies of the genetics and epidemiology of colorectal cancer (CRC) since 1997. It is the largest family-based resource in the world for the study of CRC and other cancers, such as endometrial cancer, that occur in CRC families. The Colon CFR has recruited participants via six institutions: Cancer Care Ontario, Fred Hutchinson Cancer Research Center, Mayo Clinic, University of Hawaii, University of Southern California Consortium, and University of Melbourne. Methods: CRC cases were recruited from both population-based cancer registries and family cancer clinics. Controls were recruited from population-based sources. Relatives were recruited via cases and controls. Participants were asked to: donate a blood sample; give permission to access any tumor tissue; complete a detailed personal and family history of cancer including degree of relationship, site of cancer and age of diagnosis; and complete a detailed baseline lifestyle questionnaire that was administered across all recruitment sites, which included items on established and suspected risk factors for colorectal cancer: personal characteristics including age, sex, height and weight, country of birth, ethnicity, race and religion; history of exercise, alcohol consumption and smoking; medication use including NSAIDs, cholesterol-lowering agents, diabetes medication and post- menopausal hormone use; history of colorectal cancer screening including fecal occult blood test, sigmoidoscopy, colonoscopy; personal history of surgery including polypectomy, other bowel surgery and hysterectomy; frequency of meat consumption and method of cooking; reproductive history (for women). Participants were also asked for detail information on the frequency of food consumption and portion size using a food frequency questionnaire. Follow-up of participants has been conducted every five years, by questionnaire, to update vital status, surgery, cancer screening, polypectomy, and personal and family history of cancer history. Participants have been characterized for major known predisposing CRC gene mutations and have undergone a genome-wide SNP testing and tested for known CRC SNPs. Results: The Colon CFR has enrolled 35,297 participants (11,635 affected with CRC, 3,629 affected with other cancers, and 20,033 unaffected) who have completed baseline questionnaires. We have 5-year follow-up data on 24,692 participants (6,329 affected with CRC, 2,261 affected with other cancers, and 16,102 unaffected) and 10-year follow-up data on 10,467 (3,654 affected with CRC, 1,182 affected with other cancers, and 5,631 unaffected). We have GWAS data on 3,830 participants, candidate SNP data on 18,000 participants, and mismatch repair gene mutation data on 2,697 participants (and observed 1,697 carriers with a deleterious mutation). Conclusion: This largest and best characterized CRC cohort in the world will facilitate post-GWAS research to provide insight into the role of environmental factors, and how they interact with genetic factors on CRC risk. Researchers are encouraged by the National Cancer Institute (USA) and the Colon CFR investigators to apply for access to this unique resource of data and biospecimens for collaborative research. Citation Format: Aung Ko Win, Daniel D. Buchanan, Noralane M. Lindor, Robert W. Haile, Polly A. Newcomb, Loic Le Marchand, Steven Gallinger, Hopper L. John, Casey Graham, Mark A. Jenkins. The Colon Cancer Family Registry: A major resource for post-GWAS gene-environment studies. [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 43.

Giant-cell tumor of the bone (GCTB) is a rare neoplasm that affects young adults. The tumor is generally benign but sometimes can be locally aggressive. There are no standardized approaches to the treatment of GCTB. Recently, the RANKL inhibitor denosumab has shown activity in this tumor type. We present the case of a young female who presented with locally advanced disease and was successfully managed with the neoadjuvant use of denosumab allowing for surgical resection of the tumor that was previously deemed unresectable. Following surgery, the patient is being managed with continued use of denosumab as ‘maintenance,’ and she continues to be free of disease. Our case highlights a novel approach for the management of locally advanced and aggressive giant cell tumor of the bone.

Background HIV infection leads to activation of coagulation, which may increase the risk for atherosclerosis and venous thromboembolic disease. We hypothesized that HIV replication increases coagulation potentially through alterations in extrinsic pathway factors. Methods and Results Extrinsic pathway factors were measured among a subset of HIV participants from the Strategies for Management of Anti‐Retroviral Therapy ( SMART ) trial. Thrombin generation was estimated using validated computational modeling based on factor composition. We characterized the effect of antiretroviral therapy ( ART ) treatment versus the untreated state ( HIV replication) via 3 separate analyses: (1) a cross‐sectional comparison of those on and off ART (n=717); (2) a randomized comparison of deferring versus starting ART (n=217); and (3) a randomized comparison of stopping versus continuing ART (n=500). Compared with viral suppression, HIV replication consistently showed short‐term increases in some procoagulants (eg, 15% to 23% higher FVIII ; P <0.001) and decreases in key anticoagulants (eg, 5% to 9% lower antithrombin [ AT ] and 6% to 10% lower protein C; P <0.01). The net effect of HIV replication was to increase coagulation potential (eg, 24% to 48% greater thrombin generation from computational models; P <0.01 for all). The pattern of changes from HIV replication was reversed with ART treatment and consistent across all 3 independent comparisons. Conclusions HIV replication leads to complex changes in extrinsic pathway factors, with the net effect of increasing coagulation potential to a degree that may be clinically relevant. The key influence of changes in FVIII and AT suggests that HIV ‐related coagulation abnormalities may involve changes in hepatocyte function in the context of systemic inflammation. Clinical Trial Registration URL: ClinicalTrials.gov . Unique identifier: NCT 00027352.

ABSTRACTIntroduction: Ten new features of motor unit potential (MUP) morphology and stability are proposed. These new features, along with 8 traditional features, are grouped into 5 aspects: size, shape, global complexity, local complexity, and stability. Methods: We used sequential forward and backward search strategies to select subsets of these 18 features to discriminate accurately between muscles whose MUPs are predominantly neurogenic, myopathic, or normal. Results and Conclusions: Results based on 8102 motor unit potential trains (MUPTs) extracted from 4 different limb muscles (n = 336 total muscles) demonstrate the usefulness of these newly introduced features and support an aspect‐based grouping of MUPT features. Muscle Nerve 49: 680–690, 2014

Abstract Background: Ovarian carcinoma is composed of five major histologic types, which associate with outcome and predict therapeutic response. Our aim was to evaluate histologic type assessments across the centers participating in the Ovarian Tumor Tissue Analysis (OTTA) consortium using an immunohistochemical (IHC) prediction model. Methods: Tissue microarrays (TMA) and clinical data were available for 524 pathologically confirmed ovarian carcinomas. Centralized IHC was conducted for ARID1A, CDKN2A, DKK1, HNF1B, MDM2, PGR, TP53, TFF3, VIM, and WT1, and three histologic type assessments were compared: the original pathologic type, an IHC-based calculated type (termed TB_COSPv2), and a WT1-assisted TMA core review. Results: The concordance between TB_COSPv2 type and original type was 73%. Applying WT1-assisted core review, the remaining 27% discordant cases subdivided into unclassifiable (6%), TB_COSPv2 error (6%), and original type error (15%). The largest discordant subgroup was classified as endometrioid carcinoma by original type and as high-grade serous carcinoma (HGSC) by TB_COSPv2. When TB_COSPv2 classification was used, the difference in overall survival of endometrioid carcinoma compared with HGSC became significant [RR 0.60; 95% confidence interval (CI), 0.37–0.93; P = 0.021], consistent with previous reports. In addition, 71 cases with unclear original type could be histologically classified by TB_COSPv2. Conclusions: Research cohorts, particularly those across different centers within consortia, show significant variability in original histologic type diagnosis. Our IHC-based reclassification produced more homogeneous types with respect to outcome than original type. Impact: Biomarker-based classification of ovarian carcinomas is feasible, improves comparability of results across research studies, and can reclassify cases which lack reliable original pathology. Cancer Epidemiol Biomarkers Prev; 22(10); 1677–86. ©2013 AACR.

ABSTRACTGene‐gene interactions are increasingly being addressed as a potentially important contributor to the variability of complex traits. Consequently, attentions have moved beyond single locus analysis of association to more complex genetic models. Although several single‐marker approaches toward interaction analysis have been developed, such methods suffer from very high testing dimensionality and do not take advantage of existing information, notably the definition of genes as functional units. Here, we propose a comprehensive family of gene‐level score tests for identifying genetic elements of disease risk, in particular pairwise gene‐gene interactions. Using kernel machine methods, we devise score‐based variance component tests under a generalized linear mixed model framework. We conducted simulations based upon coalescent genetic models to evaluate the performance of our approach under a variety of disease models. These simulations indicate that our methods are generally higher powered than alternative gene‐level approaches and at worst competitive with exhaustive SNP‐level (where SNP is single‐nucleotide polymorphism) analyses. Furthermore, we observe that simulated epistatic effects resulted in significant marginal testing results for the involved genes regardless of whether or not true main effects were present. We detail the benefits of our methods and discuss potential genome‐wide analysis strategies for gene‐gene interaction analysis in a case‐control study design.

Mechanical circulatory support emerged for the pediatric population in the late 1980s as a bridge to cardiac transplantation. The Total Artificial Heart (TAH-t) (SynCardia Systems Inc., Tuscon, AZ) has been approved for compassionate use by the Food and Drug Administration for patients with end-stage biventricular heart failure as a bridge to heart transplantation since 1985 and has had FDA approval since 2004. However, of the 1,061 patients placed on the TAH-t, only 21 (2%) were under the age 18. SynCardia Systems, Inc. recommends a minimum patient body surface area (BSA) of 1.7 m 2 , thus, limiting pediatric application of this device. This unique case report shares this pediatric institution’s first experience with the TAH-t. A 14-year-old male was admitted with dilated cardiomyopathy and severe biventricular heart failure. The patient rapidly decompensated, requiring extracorporeal life support. An echocardiogram revealed severe biventricular dysfunction and diffuse clot formation in the left ventricle and outflow tract. The decision was made to transition to biventricular assist device. The biventricular failure and clot formation helped guide the team to the TAH-t, in spite of a BSA (1.5 m 2 ) below the recommendation of 1.7m 2 . A computed tomography (CT) scan of the thorax, in conjunction with a novel three-dimensional (3D) modeling system and team, assisted in determining appropriate fit. Chest CT and 3D modeling following implantation were utilized to determine all major vascular structures were unobstructed and the bronchi were open. The virtual 3D model confirmed appropriate device fit with no evidence of compression to the left pulmonary veins. The postoperative course was complicated by a left lung opacification. The left lung anomalies proved to be atelectasis and improved with aggressive recruitment maneuvers. The patient was supported for 11 days prior to transplantation. Chest CT and 3D modeling were crucial in assessing whether the device would fit, as well as postoperative complications in this smaller pediatric patient.

Collaborative care management (CCM) for depression has been demonstrated to improve clinical outcomes. The impetus for this study was to determine if outpatient utilization patterns would be associated with depression outcomes. The hypothesis was that depression remission would be independently correlated with outpatient utilization at 6 and 12 months after enrollment into CCM. The study was a retrospective chart review analysis of 773 patients enrolled into CCM with 6- and 12-month follow-up data. The data set comprised baseline demographic data, patient intake self-assessment scores (Patient Health Questionnaire [PHQ-9], Generalized Anxiety Disorder-7, Mood Disorder Questionnaire, and Alcohol Use Disorders Identification Test), the number of outpatient visits, and follow-up PHQ-9 scores. To control for individual patient complexity and pattern of usage, the number of outpatient visits for 6 months prior to enrollment also was measured. With a logistic regression model for outpatient visit outlier status as the dependent variable, remission at 6 months (odds ratio [OR] 0.519, CI [confidence interval] 0.349–0.770, P =0.001) and remission at 12 months (OR 0.573, CI 0.354–0.927, P =0.023) were predictive. With this inverse relationship between remission and outlier status, those patients who were not in remission had an OR of 1.928 for outpatient visit outlier status at 6 months after enrollment and an OR of 1.745 at 12 months. Patients who improved clinically to remission while in CCM had decreased odds of outlier status for outpatient utilization at 6 and 12 months when controlling for all other study variables. Improvement in health care outcomes by CCM could translate into decreased outpatient utilization for depressed patients. ( Population Health Management 2014;17:48–53)