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614 citation(s) found for "Ma, Terry".

Analysis of Over 10,000 Cases Finds No Association between Previously Reported Candidate Polymorphisms and Ovarian Cancer Outcome
White, Kristin L., Vierkant, Robert A. , Fogarty, Zachary C. , Charbonneau, Bridget, Block, Matthew S. , Chenevix‐Trench, Georgia , group;, for AOCS/ACS, Rossing, Mary Anne, Pearce, Celeste Leigh, Schildkraut, Joellen M. , Menon, Usha , Kjær, Susanne K. , Levine, Douglas A. , Culver, Hoda Anton, Whittemore, Alice S. , Lambrechts, Diether , Wentzensen, Nicolas , Kupryjańczyk, Jolanta , Chang‐Claude, Jenny , Bandera, Elisa V. , Høgdall, Estrid , Heitz, Florian , Kaye, Stanley B., Fasching, Peter A. , Campbell, Ian , Goodman, Marc T. , Bean, Yukie T., Lurie, Galina, Eccles, Diana , Hein, Alexander , Beckmann, Matthias W. , Ekici, Arif B. , Brown, Robert , Flanagan, James M. , Harter, Philipp , Schwaab, Ira, Høgdall, Claus , Lundvall, Lene, Olson, Sara H. , Orlow, Irene , Paddock, Lisa E. , Rudolph, Anja , Eilber, Ursula, Dansonka‐Mieszkowska, Agnieszka , Rzepecka, Iwona K. , Ziółkowska-Seta, Izabela, Brinton, Louise A. , García‐Closas, Montserrat , Despierre, Evelyn, Lambrechts, Sandrina, Vergote, Ignace , Walsh, Christine , Lester, Jenny, Sieh, Weiva , McGuire, Valerie , Rothstein, Joseph H. , Lubiński, Jan , Menkiszak, Janusz , Jensen, Allan , Gayther, Simon A. , Ramus, Susan J. , Wu, Anna H. , Pike, Malcolm C. , DenBerg, David Van, Terry, Kathryn L. , Vitonis, Allison F., Johnatty, Sharon E., DeFazio, Anna , Song, Honglin , Sellers, Thomas A. , Phelan, Catherine M., Kalli, Kimberly R., Cunningham, Julie M. , Goode, Ellen L. , Lambrechts, Diether , Pharoah, Paul D.P. , group;, for AOCS/ACS, Cramer, Daniel W. , Gronwald, Jacek , Karlan, Beth Y. , Pejovic, Tanja B. , Paul, James , Bois, Andreas du , Yang, Hannah , Ziogas, Argyrios , Cybulski, Cezary , Gentry‐Maharaj, Aleksandra , Berchuck, Andrew , Doherty, Jennifer A. , Tyrer, Jonathan P. , Fridley, Brooke L. , Fazio, Anna de , Rudolph, Anja , Lambrechts, Diether , Kjaer, Susanne K , Ramus, Susan J , Hein, Alexander , Jensen, Allan , Vierkant, Robert A , Eccles, Diana , Menon, Usha , Orlow, Irene , Campbell, Ian G , Menkiszak, Janusz , Brown, Robert , Fogarty, Zachary C , Flanagan, James M , Heitz, Florian , Kupryjanczyk, Jolanta , Lambrechts, Diether , Sieh, Weiva , García-Closas, Montserrat , Ekici, Arif B , Chenevix-Trench, Georgia , Høgdall, Estrid , Høgdall, Claus K , Lubinski, Jan , Goodman, Marc T , Bandera, Elisa V.

Cancer Epidemiology, Biomarkers & Prevention | March 19, 2013 | Volume: 22 | Issue: 5 | Pages: 987-992

10.1158/1055-9965.epi-13-0028 | PMID 23513043 Get It

Abstract Background: Ovarian cancer is a leading cause of cancer-related death among women. In an effort to understand contributors to disease outcome, we evaluated single-nucleotide polymorphisms (SNP) previously associated with ovarian cancer recurrence or survival, specifically in angiogenesis, inflammation, mitosis, and drug disposition genes. Methods: Twenty-seven SNPs in VHL, HGF, IL18, PRKACB, ABCB1, CYP2C8, ERCC2, and ERCC1 previously associated with ovarian cancer outcome were genotyped in 10,084 invasive cases from 28 studies from the Ovarian Cancer Association Consortium with over 37,000-observed person-years and 4,478 deaths. Cox proportional hazards models were used to examine the association between candidate SNPs and ovarian cancer recurrence or survival with and without adjustment for key covariates. Results: We observed no association between genotype and ovarian cancer recurrence or survival for any of the SNPs examined. Conclusions: These results refute prior associations between these SNPs and ovarian cancer outcome and underscore the importance of maximally powered genetic association studies. Impact: These variants should not be used in prognostic models. Alternate approaches to uncovering inherited prognostic factors, if they exist, are needed. Cancer Epidemiol Biomarkers Prev; 22(5); 987–. ©2013 AACR.
Combined and Interactive Effects of Environmental and GWAS-Identified Risk Factors in Ovarian Cancer
Pearce, Celeste Leigh, Rossing, Mary Anne, Lee, Alice W. , Ness, Roberta B., Webb, Penelope M. , Cancer), for Australian Cancer Study (Ovarian, Group, and Australian Ovarian Cancer Study, Chenevix‐Trench, Georgia , Jordan, Susan M., Stram, Douglas, Chang‐Claude, Jenny, Hein, Rebecca, Nickels, Stefan , Lurie, Galina, Thompson, Pamela J., Carney, Michael E., Goodman, Marc T. , Moysich, Kirsten B., Høgdall, Estrid , Jensen, Allan , Goode, Ellen L. , Cunningham, Julie M. , Vierkant, Robert A. , Gayther, Simon A. , Menon, Usha , Ramus, Susan J. , Brinton, Louise A. , Wentzensen, Nicolas , Lissowska, Jolanta , García‐Closas, Montserrat , Massuger, Leon F.A.G. , Kiemeney, Lambertus A. , Altena, Anne M. van , Aben, Katja K.H. , Iversen, Edwin S., McGuire, Valerie, Moorman, Patricia G. , Pike, Malcolm C. , Sieh, Weiva , Terry, Kathryn L. , Whittemore, Alice S. , Wu, Anna H. , Schildkraut, Joellen M. , Kjær, Susanne K. , Jordan, Susan J. , Cancer), for Australian Cancer Study (Ovarian, Group, and Australian Ovarian Cancer Study, Jordan, Susan M., Fridley, Brooke L. , Weber, Rachel Palmieri , Ziogas, Argyrios , Anton‐Culver, Hoda , Gentry‐Maharaj, Aleksandra , Berchuck, Andrew , Doherty, Jennifer A. , Pharoah, Paul D.P. , Risch, Harvey A. , Stram, Daniel O. , Kiemeney, Lambertus A , Kjaer, Susanne K , Ramus, Susan J , Webb, Penelope M , Jensen, Allan , Vierkant, Robert A , Menon, Usha , Moysich, Kirsten , Lissowska, Jolanta , Sieh, Weiva , García-Closas, Montserrat , Chenevix-Trench, Georgia , Høgdall, Estrid , Goodman, Marc T

Cancer Epidemiology, Biomarkers & Prevention | March 6, 2013 | Volume: 22 | Issue: 5 | Pages: 880-890

10.1158/1055-9965.epi-12-1030-t | PMID 23462924 Get It

Abstract Background: There are several well-established environmental risk factors for ovarian cancer, and recent genome-wide association studies have also identified six variants that influence disease risk. However, the interplay between such risk factors and susceptibility loci has not been studied. Methods: Data from 14 ovarian cancer case–control studies were pooled, and stratified analyses by each environmental risk factor with tests for heterogeneity were conducted to determine the presence of interactions for all histologic subtypes. A genetic “risk score” was created to consider the effects of all six variants simultaneously. A multivariate model was fit to examine the association between all environmental risk factors and genetic risk score on ovarian cancer risk. Results: Among 7,374 controls and 5,566 cases, there was no statistical evidence of interaction between the six SNPs or genetic risk score and the environmental risk factors on ovarian cancer risk. In a main effects model, women in the highest genetic risk score quartile had a 65% increased risk of ovarian cancer compared with women in the lowest [95% confidence interval (CI), 1.48–1.84]. Analyses by histologic subtype yielded risk differences across subtype for endometriosis (Phet < 0.001), parity (Phet < 0.01), and tubal ligation (Phet = 0.041). Conclusions: The lack of interactions suggests that a multiplicative model is the best fit for these data. Under such a model, we provide a robust estimate of the effect of each risk factor that sets the stage for absolute risk prediction modeling that considers both environmental and genetic risk factors. Further research into the observed differences in risk across histologic subtype is warranted. Cancer Epidemiol Biomarkers Prev; 22(5); 880–90. ©2013 AACR.
Uncovering the biology of multiple myeloma among African Americans: a comprehensive genomics approach
Baker, Angela , Braggio, Esteban , Jacobus, Susanna , Jung, Sungwon , Therneau, Terry M. , Dispenzieri, Angela , Wier, Scott A. Van, Ahmann, Gregory , Levy, Joan, Perkins, Louise M. , Kim, Seungchan , Henderson, Kimberly J., Vesole, David H., Rajkumar, S. Vincent , Jelinek, Diane F., Carpten, John D. , Fonseca, Rafaël , Larson, Dirk R. , Rajkumar, S Vincent , Dispenzieri, Angela , Braggio, Esteban , Fonseca, Rafael

Blood | February 20, 2013 | Volume: 121 | Issue: 16 | Pages: 3147-3152

10.1182/blood-2012-07-443606 | PMID 23422747 Get It

Key PointsIn this study, African American MM patients have a significantly lower frequency of IgH translocations than European American patients.
Augmented Reality Image Guidance Improves Navigation for Beating Heart Mitral Valve Repair
Chu, Michael , Moore, John , Peters, Terry M. , Bainbridge, Daniel , McCarty, David, Guiraudon, G, Wedlake, Chris, Lang, Pencilla , Rajchl, Martin , Currie, Maria , Daly, Richard C. , Kiaii, Bob, Chu, Michael W A

Innovations: Technology and Techniques in Cardiothoracic and Vascular Surgery | November 2, 2012 | Volume: 7 | Issue: 4 | Pages: 274-281

10.1097/imi.0b013e31827439ea | PMID 23123995 Get It

Objective Emerging off-pump beating heart valve repair techniques offer patients less invasive alternatives for mitral valve (MV) repair. However, most of these techniques rely on the limited spatial and temporal resolution of transesophageal echocardiography (TEE) alone, which can make tool visualization and guidance challenging. Methods Using a magnetic tracking system and integrated sensors, we created an augmented reality (AR) environment displaying virtual representations of important intracardiac landmarks registered to biplane TEE imaging. In a porcine model, we evaluated the AR guidance system versus TEE alone using the transapically delivered NeoChord DS1000 system to perform MV repair with chordal reconstruction. Results Successful tool navigation from left ventricular apex to MV leaflet was achieved in 12 of 12 and 9 of 12 (P = 0.2) attempts with AR imaging and TEE alone, respectively. The distance errors of the tracked tool tip from the intended midline trajectory (5.2 ± 2.4 mm vs 16.8 ± 10.9 mm, P = 0.003), navigation times (16.7 ± 8.0 seconds vs 92.0 ± 84.5 seconds, P = 0.004), and total path lengths (225.2 ± 120.3 mm vs 1128.9 ± 931.1 mm, P = 0.003) were significantly shorter in the AR-guided trials compared with navigation with TEE alone. Furthermore, the potential for injury to other intracardiac structures was nearly 40-fold lower when using the AR imaging for tool navigation. The AR guidance also seemed to shorten the learning curve for novice surgeons. Conclusions Augmented reality–enhanced TEE facilitates more direct and safe intracardiac navigation of the NeoChord DS tool from left ventricular apex to MV leaflet. Tracked tool path results demonstrate fourfold improved accuracy, fivefold shorter navigation times, and overall improved safety with AR imaging guidance.
Proximal femoral density distribution and structure in relation to age and hip fracture risk in women
Carballido‐Gamio, Julio , Harnish, Roy, Saeed, Isra, Streeper, T., Sigurðsson, Sigurður , Amin, Shreyasee , Atkinson, Elizabeth J. , Therneau, Terry M. , Siggeirsdóttir, Kristín , Melton, L. Joseph , Keyak, Joyce H. , Guðnason, Vilmundur , Khosla, Sundeep , Harris, Tamara B. , Lang, Thomas , Cheng, Xiaoguang , Khosla, Sundeep

Journal of Bone and Mineral Research | October 29, 2012 | Volume: 28 | Issue: 3 | Pages: 537-546

10.1002/jbmr.1802 | PMID 23109068 Get It

Abstract Hip fracture risk rises exponentially with age, but there is little knowledge about how fracture-related alterations in hip structure differ from those of aging. We employed computed tomography (CT) imaging to visualize the three-dimensional (3D) spatial distribution of bone mineral density (BMD) in the hip in relation to age and incident hip fracture. We used intersubject image registration to integrate 3D hip CT images into a statistical atlas comprising women aged 21 to 97 years (n = 349) and a group of women with (n = 74) and without (n = 148) incident hip fracture 4 to 7 years after their imaging session. Voxel-based morphometry was used to generate Student's t test statistical maps from the atlas, which indicated regions that were significantly associated with age or with incident hip fracture. Scaling factors derived from intersubject image registration were employed as measures of bone size. BMD comparisons of young, middle-aged, and older American women showed preservation of load-bearing cortical and trabecular structures with aging, whereas extensive bone loss was observed in other trabecular and cortical regions. In contrast, comparisons of older Icelandic fracture women with age-matched controls showed that hip fracture was associated with a global cortical bone deficit, including both the superior cortical margin and the load-bearing inferior cortex. Bone size comparisons showed larger dimensions in older compared to younger American women and in older Icelandic fracture women compared to controls. The results indicate that older Icelandic women who sustain incident hip fracture have a structural phenotype that cannot be described as an accelerated pattern of normal age-related loss. The fracture-related cortical deficit noted in this study may provide a biomarker of increased hip fracture risk that may be translatable to dual-energy X-ray absorptiometry (DXA) and other clinical images. © 2013 American Society for Bone and Mineral Research.
Association of the PDYN gene with alcohol dependence and the propensity to drink in negative emotional states
Karpyak, Victor M. , Winham, Stacey J. , Preuss, Ulrich W. , Zill, Peter , Cunningham, Julie M. , Walker, Denise L., Lewis, Kriste A., Geske, Jennifer R. , Colby, Colin , Hall‐Flavin, Daniel K., Loukianova, Larissa L., Schneekloth, Terry D. , Frye, Mark A. , Bazov, Igor , Heit, John A. , Bakalkin, Georgy , Mrazek, David A. , Abulseoud, Osama A. , Biernacka, Joanna M. , Winham, Stacey J , Karpyak, Victor , Bakalkin, Georgy , Geske, Jennifer

International Journal of Neuropsychopharmacology | October 29, 2012 | Volume: 16 | Issue: 5 | Pages: 975-985

10.1017/s1461145712001137 | PMID 23101464 Get It

AbstractSynthetic κ-opioid receptor (KOR) agonists induce dysphoric and pro-depressive effects and variations in the KOR (OPRK1) and prodynorphin (PDYN) genes have been shown to be associated with alcohol dependence. We genotyped 23 single nucleotide polymorphisms (SNPs) in the PDYN and OPRK1 genes in 816 alcohol-dependent subjects and investigated their association with: (1) negative craving measured by a subscale of the Inventory of Drug Taking Situations; (2) a self-reported history of depression; (3) the intensity of depressive symptoms measured by the Beck Depression Inventory-II. In addition, 13 of the 23 PDYN and OPRK1 SNPs, which were previously genotyped in a set of 1248 controls, were used to evaluate association with alcohol dependence. SNP and haplotype tests of association were performed. Analysis of a haplotype spanning the PDYN gene (rs6045784, rs910080, rs2235751, rs2281285) revealed significant association with alcohol dependence (p = 0.00079) and with negative craving (p = 0.0499). A candidate haplotype containing the PDYN rs2281285-rs1997794 SNPs that was previously associated with alcohol dependence was also associated with negative craving (p = 0.024) and alcohol dependence (p = 0.0008) in this study. A trend for association between depression severity and PDYN variation was detected. No associations of OPRK1 gene variation with alcohol dependence or other studied phenotypes were found. These findings support the hypothesis that sequence variation in the PDYN gene contributes to both alcohol dependence and the induction of negative craving in alcohol-dependent subjects.
Potential Extensions of the US FRAX Algorithm
Melton, L. Joseph, Atkinson, Elizabeth J. , Achenbach, Sara J., Kanis, John А. , Therneau, Terry M. , Johansson, Helena , Khosla, Sundeep , Amin, Shreyasee , Khosla, Sundeep

Journal of Osteoporosis | August 15, 2012 | Volume: 2012 | Issue: No issue available | Pages: 1-8

10.1155/2012/528790 | PMID 22934235 Get It

To determine if the revised US FRAX can identify those at high risk for fractures at any skeletal site, we studied 250 women and 249 men ≥ 40 years old from an age-stratified random sample of Rochester, MN residents. At baseline, femoral neck (FN) bone density was assessed, as were the clinical risk factors included in FRAX, along with additional fracture risk factors such as bone turnover markers and fall history. Fracture ascertainment through periodic interviews and comprehensive medical record review was performed over 10 years of followup. In both women and men, a higher FRAX probability at baseline was associated with greater subsequent likelihood of a major osteoporotic fracture. However, a relative 10% increase in the FRAX 10-year fracture probability was also associated with a 1.4-fold increase (95% confidence interval (CI) 1.1–1.7) in other fractures in women and a 1.7-fold increase (95% CI 0.8–3.1) in men. Furthermore, FRAX predicted asymptomatic vertebral fractures and fractures generally in both sexes. The addition of risk factors not currently included in FRAX did not appear to improve the accuracy of fracture risk prediction. FRAX may provide a conservative estimate of risk for major osteoporotic fractures, but it also predicts fractures generally.
Abstract 2927: MicroRNA binding site polymorphisms influence ovarian cancer risk in the collaborative oncological gene-environment study
Permuth‐Wey, Jennifer, Zhihua, Chen, Birrer, M., Cunningham, Julie M. , Fenstermacher, David, Gayther, Simon A. , Gentry-Maharaj, Alexandra, Iversen, Edwin S., McLaughlin, John, Menon, Usha , Narod, Steven A. , Phelan, Catherine M., Song, Honglin , Sutphen, Rebecca , Terry, Kathryn L. , Wentzensen, Nicolas , Lancaster, Johnathan M., Cheng, Jin Q. , Berchuk, Andrew, Schildkraut, Joellen M. , Goode, Ellen L. , Sellers, Thomas A. , Lin, Hui‐Yi , Tsai, Ya-Yu , Zhihua, Chen, Chen, Y. Ann , Barnholtz‐Sloan, Jill S. , Chanock, Stephen Jacob , Cramer, Daniel W. , Fridley, Brooke L. , García‐Closas, Montserrat , Bosquet, Jesús González , Jim, Heather , McLaughlin, John, Monteiro, Álvaro N.A. , Ramus, Susan J. , Risch, Harvey A. , Tyrer, Jonathan P. , Vierkant, Robert A. , Pharoah, Paul D.P. , Menon, Usha

Cancer Research | August 13, 2012 | Volume: 72 | Issue: 8_Supplement | Pages: 2927-2927

10.1158/1538-7445.am2012-2927 Get It

Abstract Mi(cro)RNAs are short non-coding RNA molecules that play a key role in carcinogenesis by regulating tumor suppressors and oncogenes. Published data has implicated miRNAs in ovarian cancer (OC) development and progression, and we hypothesize that single nucleotide polymorphisms (SNPs) in sites of miRNA: messenger RNA (mRNA) binding may influence OC risk by altering expression levels of targeted mRNAs. To evaluate associations between SNPs in miRNA binding sites and OC risk, we used bioinformatics tools and public databases to identify miRNA binding SNPs relevant to ovarian cancer. We then evaluated the frequency of approximately 1,100 SNPs in ∼20,000 epithelial OC cases and 20,000 controls represented in the international Collaborative Oncological Gene-environment Study. Unconditional logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) between genotypes and case status, with adjustment for the first five principal components representing European ancestry. Log-additive genetic models were applied to each SNP, modeling the number of copies of the minor allele. Subgroup analysis was conducted for serous adenocarcinomas, the most predominant histologic subtype of epithelial OC. Preliminary analysis of 11,215 invasive epithelial OCs and 15,910 controls included four SNPs with P<10−6 and 1 SNP with P<10−5. Analysis of 6,215 invasive serous adenocarcinomas revealed two SNPs with P<10−7 and three SNPs with P<10−6. Noteworthy is rs6104808, a C>T SNP predicted to reside in a highly conserved miRNA binding site of BTBD3 (BTB POZ domain containing 3), a transcription factor suggested to be involved in cell proliferation, cancer progression, and response to platinum-based chemotherapy. rs6104808 was associated with a decreased risk of OC overall (OR (95% CI): 0.42 (0.28-0.62), P=1.26 x 10−5)), and the association was stronger among cases with serous adenocarcinoma (OR (95% CI): 0.30 (0.17-0.50), P=9.89 x 10−6)). This represents the largest, most comprehensive epidemiologic study to date to evaluate associations between miRNA binding site SNPs and OC susceptibility. Although based on a preliminary analysis, these data suggest a significant role and putative biological mechanism for common germline variants in miRNA binding sites leading to cancer development. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 2927. doi:1538-7445.AM2012-2927
Abstract 5485: Increased prevalence of light chain monoclonal gammopathy of undetermined significance (MGUS) in first-degree relatives of individuals with multiple myeloma or MGUS
Greenberg, Alexandra J. , Therneau, Terry M. , Colby, Colin , Phelps, Tara K., Kumar, Shaji , Katzmann, Jerry A., Kyle, Robert A. , Vachon, Celine M. , Rajkumar, S. Vincent , Larson, Dirk R. , Dispenzieri, Angela , Slager, Susan L. , Vachon, Celine M.

Cancer Research | August 9, 2012 | Volume: 72 | Issue: 8_Supplement | Pages: 5485-5485

10.1158/1538-7445.am2012-5485 Get It

Abstract Monoclonal gammopathy of undetermined significance (MGUS) is a precursor to multiple myeloma and related diseases. The majority of MGUS cases are characterized by the expression of immunoglobulin heavy chain (IgH); however, approximately one-fifth of MGUS cases do not present with IgH expression. These individuals have light chain MGUS (LC-MGUS), a precursor to light-chain MM (LC-MM). LC-MGUS is characterized by an absence of IgH and an abnormal free light chain ratio (FLC-R), indicating excessive expression of either κ or ≤ free light chains. LC-MGUS has a prevalence of 0.8% in the general population over the age of 50, as compared with a prevalence of 3.2% for heavy-chain MGUS (HC-MGUS) (Dispenzieri, 2010). There is currently little understanding of the association between family history of HC-MGUS or multiple myeloma (MM) and LC-MGUS. We investigated whether the prevalence of LC-MGUS is elevated in first-degree relatives of patients with either HC-MGUS or MM. HC-MGUS probands expressed IgH and were recruited through a population-based study of Olmsted County residents; MM probands consisted of both HC-MM and LC-MM and were recruited through the Mayo Clinic Hematology practice. Serum samples were collected from first-degree relatives of probands older than 40 years of age and subjected to electrophoresis, immunofixation, and free light chain assay. Prevalence of LC-MGUS was calculated in all first-degree relatives combined, and in relatives from both HC-MGUS and MM families separately. We compared the prevalence in family members to that in a well-defined Olmsted County, MN cohort (Dispenzieri, 2010) of patients aged 50 and over. A total 911 relatives of 232 MM and 97 MGUS patients were studied. LC-MGUS was detected in 17/911 (1.9%) relatives, for an age- and sex-adjusted prevalence of 1.7% (95% CI, 0.9% to 2.6%). Prevalence among relatives of MM probands (age- and sex- adjusted rate 2.1%; 95% CI, 1.0% to 3.2%) was higher than among relatives of MGUS probands (age- and sex- adjusted rate 0.6%; 95% CI, 0.0%-1.6%). There was an increased risk of LC-MGUS in relatives compared to the reference population which was predominantly due to the increased risk among relatives of MM probands (risk ratio=3.4, 95% CI 2.0, 5.51) as opposed to relatives of MGUS probands (risk ratio=1.1, 95% CI, 0.3 to 4.5). Among MM probands, there was no significant difference between the prevalence increase in relatives of the 32 probands with LC-MM and that of the relatives of the 200 probands with HC-MM (3.8 vs 3.3, ratio=1.2, 95% CI: 0.3-5.1, p=0.85). We conclude that the prevalence of LC-MGUS is significantly higher among first degree family members of all MM probands compared to the general population. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 5485. doi:1538-7445.AM2012-5485
Abstract 5064: Cytogenetic and somatic characterization of myeloma tumors from a multi-ethnic cohort
Baker, Angela , Jacobus, Suzanna, Jung, Sungwon , Therneau, Terry M. , Weir, Scott A. Van, Ahmann, Gregory , Henderson, Kim, Jelinek, Dianne F., Carpten, John D. , Braggio, Esteban , Keats, Jonathan J. , Larson, Dirk R. , Dispenzieri, Angela , Henderson, Kimberly J., Rajkumar, S. Vincent , Kim, Seungchan , Fonseca, Rafaël

Cancer Research | August 9, 2012 | Volume: 72 | Issue: 8_Supplement | Pages: 5064-5064

10.1158/1538-7445.am2012-5064 Get It

Abstract Previous epidemiological studies have suggested that African Americans (AA) are twice as likely to be diagnosed with and to die from Multiple Myeloma (MM) as compared to European Americans (EA). In recent years, however, mortality rates have become more comparable between these groups. Although socioeconomic factors could play a major role to this potential disparity, biological factors may also be responsible for influencing these differences in either incidence and/or mortality. Here we examined a multi-ethnic cohort of MM tumors to assess potential differences in the frequency of molecular events in tumors derived from either African American (AA) or European American (EA) patients. First, we compared the frequency of 14q32 translocation breakpoints at the IgH locus among a series of data from 115 AA MM patients from three studies and EA MM from the Eastern Cooperative Oncology Group (ECOG). Furthermore, we analyzed matching genome-wide copy number and transcriptional data among 47 AA MM tumors and 196 EA MM tumors to determine differences in the frequency of molecular events in tumors from these populations. Univariate analyses were conducted using the Fisher's Exact Test and p-values were calculated to measure statistical significance. We observed statistically significant differences in the frequency of IgH translocations and somatic copy number alterations. Although we did not detect differences for specific translocation subtypes, we saw a statistically significant difference in the overall frequency of IgH translocations between the two groups, which occurred more frequently in EA patients (p = 0.032). When assessing genomic copy number events previously shown to be associated with poor outcome in MM, chromosome 13 monosomy was more frequent in hyperdiploid MM from AA patients and significant after correcting for multiple testing using the Bonferoni correction method (p = 0.001). Moreover, when using the Benjamini-Hochberg multiple testing correction method, chromosome 13 monosomy remained significantly different among hyperdiploid AA patients (p = 0.0121). Chromosome 1q amplification was also significant among hyperdiploid tumors from EA patients when using this correction method (p = 0.036). No differences in the frequency of hyperdiploid status or gene expression-based subtypes were detected when comparing tumors from AA and EA patients. Our study represents the first comprehensive assessment of the frequency and distribution of molecular alterations in MM tumors from both AA and EA patients and could help shed light on possible biological features associated with population differences in incidence and outcome in MM. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 5064. doi:1538-7445.AM2012-5064