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Sorting nexin 9 differentiates ligand-activated Smad3 from Smad2 for nuclear import and transforming growth factor β signaling
Wilkes, Mark C. , Repellin, Claire E. , Kang, Jeong Han , Andrianifahanana, Mahefatiana, Yin, Xueqian , Leof, Edward B.

Mayo Clinic

Molecular Biology of the Cell | September 3, 2015 | Volume: 26 | Issue: 21 | Pages: 3879-3891

10.1091/mbc.e15-07-0545 | PMID 26337383 Get It

Transforming growth factor β (TGFβ) is a pleiotropic protein secreted from essentially all cell types and primary tissues. While TGFβ’s actions reflect the activity of a number of signaling networks, the primary mediator of TGFβ responses are the Smad proteins. Following receptor activation, these cytoplasmic proteins form hetero-oligomeric complexes that translocate to the nucleus and affect gene transcription. Here, through biological, biochemical, and immunofluorescence approaches, sorting nexin 9 (SNX9) is identified as being required for Smad3-dependent responses. SNX9 interacts with phosphorylated (p) Smad3 independent of Smad2 or Smad4 and promotes more rapid nuclear delivery than that observed independent of ligand. Although SNX9 does not bind nucleoporins Nup153 or Nup214 or some β importins (Imp7 or Impβ), it mediates the association of pSmad3 with Imp8 and the nuclear membrane. This facilitates nuclear translocation of pSmad3 but not SNX9.
American Board of Internal Medicine and Maintenance of Certification Standards—Reply
Holmboe, Eric S. , Cook, David A.

Mayo Clinic

JAMA Internal Medicine | August 3, 2015 | Volume: 175 | Issue: 8 | Pages: 1425

10.1001/jamainternmed.2015.1115 | PMID 26236981 Get It

Network-Based Integration of GWAS and Gene Expression Identifies a HOX -Centric Network Associated with Serous Ovarian Cancer Risk
Kar, Siddhartha , Lawrenson, Kate , Aben, Katja K.H. , Antonenkova, Natalia, Chenevix‐Trench, Georgia , Study, on behalf of the Australian Cancer, Group, and on behalf of the Australian Ovarian Cancer Study, Baker, Helen , Bean, Yukie T., Beckmann, Matthias W. , Bisogna, Maria, Bogdanova, Natalia , Brinton, Louise A. , Campbell, Ian , Carty, Karen , Chang‐Claude, Jenny , Chen, Y. Ann , Chen, Zhihua , Cunningham, Julie M. , Dansonka‐Mieszkowska, Agnieszka , Dicks, Ed , Dörk, Thilo , Eccles, Diana , Easton, Douglas F. , Edwards, Robert P., Ekici, Arif B. , Fasching, Peter A. , Gao, Yu‐Tang , Giles, Graham G. , Glasspool, Rosalind , Goode, Ellen L. , Goodman, Marc T. , Grownwald, Jacek, Harrington, Patricia, Harter, Philipp , Hein, Alexander , Heitz, Florian , Hildebrandt, Michelle A.T., Hillemanns, Peter , Høgdall, Estrid , Høgdall, Claus , Hosono, Satoyo , Iversen, Edwin S., Jakubowska, Anna , Jensen, Allan , Ji, Bu‐Tian , Kjær, Susanne K. , Kelemen, Linda E. , Kellar, Melissa, Kelley, Joseph L., Kiemeney, Lambertus A. , Krakstad, Camilla , Kupryjańczyk, Jolanta , Lambrechts, Diether , Lambrechts, Sandrina, Le, Nhu D. , Lee, Alice W. , Lele, Shashi, Leminen, Arto, Lester, Jenny, Levine, Douglas A. , Liang, Dong , Lissowska, Jolanta , Lu, Karen, Lubiński, Jan , Lundvall, Lene, Massuger, Leon F.A.G. , Matsuo, Keitaro , McGuire, Valerie , McLaughlin, John R., McNeish, Iain A. , Menon, Usha , Moysich, Kirsten B., Narod, Steven A., Nedergaard, Lotte , Ness, Roberta B., Odunsi, Kunle , Olson, Sara H. , Orlow, Irene , Oršulić, Sandra , Weber, Rachel Palmieri , Pearce, Celeste Leigh, Pelttari, Liisa M. , Permuth‐Wey, Jennifer, Phelan, Catherine M., Pike, Malcolm C., Ramus, Susan J. , Rossing, Mary Anne, Rothstein, Joseph H. , Runnebaum, Ingo B. , Rzepecka, Iwona K. , Salvesen, Helga B., Schildkraut, Joellen M. , Schwaab, Ira, Shvetsov, Yurii B. , Sieh, Weiva , Song, Honglin , Southey, Melissa C. , Sucheston‐Campbell, Lara, Tangen, Ingvild L. , Teo, Soo‐Hwang , Terry, Kathryn L. , Thompson, Pamela J., Timorek, Agnieszka, Tworoger, Shelley S. , Altena, Anne M. van , Nieuwenhuysen, Els Van , Vergote, Ignace , Vierkant, Robert A. , Wang‐Gohrke, Shan , Walsh, Christine , Wentzensen, Nicolas, Whittemore, Alice S. , Wicklund, Kristine G. , Woo, Yin Ling , Wu, Xifeng , Wu, Anna H. , Zheng, Wei , Sellers, Thomas A. , Monteiro, Álvaro N.A. , Freedman, Matthew L., Gayther, Simon A. , Lu, Karen H. , Lambrechts, Diether , Tyrer, Jonathan P. , Li, Qiyuan , Anton‐Culver, Hoda , Study, on behalf of the Australian Cancer, Group, and on behalf of the Australian Ovarian Cancer Study, Bandera, Elisa V. , Berchuck, Andrew , Bjørge, Line , Brooks‐Wilson, Angela , Bützow, Ralf C. , Cook, Linda S. , Cramer, Daniel W. , Cybulski, Cezary , Dennis, Joe , Doherty, Jennifer A. , Bois, Andreas du , Dürst, Matthias , Fridley, Brooke L. , Gentry‐Maharaj, Aleksandra , Hildebrandt, Michelle A.T. , Paul, James , Karlan, Beth Y. , Lu, Karen, McLaughlin, John R., Modugno, Francesmary , Nevanlinna, Heli , Pejovic, Tanja B. , Poole, Elizabeth M. , Risch, Harvey A. , Rosen, Barry P. , Rudolph, Anja , Shu, Xiao‐Ou , Siddiqui, Nadeem , Wentzensen, Nicolas , Wilkens, Lynne R. , Yang, Hannah , Ziogas, Argyrios , Pharoah, Paul D.P. , Pelttari, L M , Dörk, Thilo , Lambrechts, Diether , Giles, Graham G , Kiemeney, Lambertus A , Kjaer, Susanne K , McNeish, Iain A , Ramus, Susan J , Teo, Soo H , Tworoger, Shelley S , Hein, Alexander , Hillemanns, Peter , Jensen, Allan , Vierkant, Robert A , Eccles, Diana , Menon, Usha , Lawrenson, Kate , Monteiro, Alvaro N , Moysich, Kirsten , Orlow, Irene , Lissowska, Jolanta , Campbell, Ian G , Southey, Melissa C , Glasspool, Rosalind , Matsuo, Keitaro , Heitz, Florian , Jakubowska, Anna , Kupryjanczyk, Jolanta , Lambrechts, Diether , Sieh, Weiva , Ekici, Arif B , Bogdanova, Natalia V , Chenevix-Trench, Georgia , Zheng, Wei , Høgdall, Estrid , Høgdall, Claus K , Kar, Siddhartha , Lubinski, Jan , Goodman, Marc T

Mayo Clinic

Cancer Epidemiology, Biomarkers & Prevention | July 24, 2015 | Volume: 24 | Issue: 10 | Pages: 1574-1584

10.1158/1055-9965.epi-14-1270 | PMID 26209509 Get It

Abstract Background: Genome-wide association studies (GWAS) have so far reported 12 loci associated with serous epithelial ovarian cancer (EOC) risk. We hypothesized that some of these loci function through nearby transcription factor (TF) genes and that putative target genes of these TFs as identified by coexpression may also be enriched for additional EOC risk associations. Methods: We selected TF genes within 1 Mb of the top signal at the 12 genome-wide significant risk loci. Mutual information, a form of correlation, was used to build networks of genes strongly coexpressed with each selected TF gene in the unified microarray dataset of 489 serous EOC tumors from The Cancer Genome Atlas. Genes represented in this dataset were subsequently ranked using a gene-level test based on results for germline SNPs from a serous EOC GWAS meta-analysis (2,196 cases/4,396 controls). Results: Gene set enrichment analysis identified six networks centered on TF genes (HOXB2, HOXB5, HOXB6, HOXB7 at 17q21.32 and HOXD1, HOXD3 at 2q31) that were significantly enriched for genes from the risk-associated end of the ranked list (P < 0.05 and FDR < 0.05). These results were replicated (P < 0.05) using an independent association study (7,035 cases/21,693 controls). Genes underlying enrichment in the six networks were pooled into a combined network. Conclusion: We identified a HOX-centric network associated with serous EOC risk containing several genes with known or emerging roles in serous EOC development. Impact: Network analysis integrating large, context-specific datasets has the potential to offer mechanistic insights into cancer susceptibility and prioritize genes for experimental characterization. Cancer Epidemiol Biomarkers Prev; 24(10); 1574–84. ©2015 AACR.
Endovascular Repair of Saccular Ascending Aortic Aneurysm After Orthotopic Heart Transplantation Using an Investigational Zenith Ascend Stent-Graft
Pochettino, Alberto , Mendes, Bernardo C. , Pulido, Juan N. , Gloviczki, Péter , Pulido, Juan, Oderich, Gustavo S. , Roeder, Blayne A. , Gloviczki, Péter

Mayo Clinic

Journal of Endovascular Therapy | July 17, 2015 | Volume: 22 | Issue: 4 | Pages: 650-654

10.1177/1526602815593537 | PMID 26112175 Get It

Purpose: To report the use of an investigational stent-graft to treat an ascending aortic aneurysm in a patient with a heart transplant. Case Report: A 48-year-old man presented with a 3.5×1.5-cm saccular aneurysm in the mid anterior ascending aorta, abutting the sternum. The patient’s history was notable for placement of a left ventricular assist device followed by orthotopic heart transplantation 2 years prior to treat end-stage familial dilated cardiomyopathy. Under compassionate use, a custom-designed ascending aortic stent-graft (Zenith Ascend) was successfully delivered via an 18-F system and deployed just distal to the origin of the left main coronary artery under pulmonary artery catheter–guided rapid ventricular pacing. The patient was discharged the next day, and 6-month follow-up was unremarkable. Imaging at 5 months showed an excluded aneurysm sac with no endoleak or migration. Conclusion: The ideal ascending aortic stent-graft should be low profile, conformable to the arch anatomy, with short tip delivery system and a stepwise deployment mechanism that allows precise placement relative to the ostia of the coronary arteries and the innominate artery. This case illustrates the advancement of endovascular techniques to the most challenging segment of the aorta to decrease morbidity and mortality in high-risk patients.
Update on a Quality Initiative to Standardize Perioperative Care for Continuous Subcutaneous Insulin Infusion Therapy
Thompson, Bithika , Boyle, Mary E., Apsey, Heidi A., Seifert, Karen M., Schlinkert, Richard T., Stearns, Joshua D., Mackey, Patricia A, Thompson, Bithika M, Cook, Curtiss B. , Mackey, Patricia

Mayo Clinic

Journal of Diabetes Science and Technology | June 19, 2015 | Volume: 9 | Issue: 6 | Pages: 1299-1306

10.1177/1932296815592027 | PMID 26092687 Get It

Objective: The objective of the analysis was to review the effectiveness of a care process model (CPM) developed to guide management of patients on insulin pump therapy undergoing elective surgical procedures. Methods: Electronic medical records were reviewed to assess the impact of the CPM on documentation of insulin pump status, glucose monitoring, and safety during the perioperative phase of care. Post-CPM care was compared with management provided before CPM implementation. Results: We reviewed 45 cases on insulin pump therapy in the pre-CPM cohort and 106 in the post-CPM cohort. Demographic characteristics, categories of surgery, and perioperative times were not significantly different between the 2 groups. Recommended hemoglobin A1c monitoring occurred in 73% of cases in the pre-CPM cohort but improved to 94% in the post-CPM group ( P < .01). There was a higher frequency of documentation of the insulin pump during the preoperative, intraoperative, and postanesthesia care unit segments of care in the post- vs pre-CPM periods (all P < .01). The number of cases with intraoperative glucose monitoring increased (57% pre-CPM vs 81% post-CPM; P < .01). Glycemic control was comparable between the 2 CPM periods. Hypoglycemia was rare, with only 3 episodes in the pre-CPM group and 4 in the post-CPM. No adverse events associated with perioperative insulin pump use were observed. Conclusions: This analysis adds to previous data on use of insulin pump therapy during the perioperative period. Some processes require additional attention, but data continue to indicate that a standardized approach to care can lead to a successful and safe transition of insulin pump therapy throughout the perioperative period.
Memory, executive, and multidomain subtle cognitive impairment
Toledo, Jon B. , Bjerke, Maria , Rozycki, Martin, Jack, Clifford R. , Weiner, Michael W. , Arnold, Steven E. , Reiman, Eric M. , Davatzikos, Christos , Shaw, Leslie M. , Trojanowski, John Q. , Initiative, For the Alzheimer's Disease Neuroimaging, Weiner, Michael, Aisen, Paul , Weiner, Michael, Petersen, Ronald, Jagust, William, Trojanowki, John Q., Green, Robert C., Saykin, Andrew J., Liu, Enchi , Green, Robert C., Montine, Tom, Petersen, Ronald, Gamst, Anthony, Thomas, Ronald G. , Walter, Sarah , Gessert, Devon, Sather, Tamie, Kornak, John , Felmlee, Joel P. , Schuff, Norbert, Alexander, Gene E. , DeCarli, Charles, Jagust, William, Bandy, Dan, Foster, Norm, Reiman, Eric M., Mathis, Chet, Cairns, Nigel J. , Taylor‐Reinwald, Lisa, Shaw, Les, Korecka, Magdalena , Crawford, Karen , Neu, Scott, Potkin, Steven, Kachaturian, Zaven, Frank, Richard , Molchan, Susan, Quinn, Joseph, Lind, Betty, Dolen, Sara, Schneider, Lon S. , Pawluczyk, Sonia, Spann, Bryan M., Brewer, James, Vanderswag, Helen, Heidebrink, Judith L. , Petersen, Ronald, Johnson, Kris , Doody, Rachelle S., Chowdhury, Munir , Bell, Karen L. , Leon, Sue, Schneider, Stacy, Marson, Daniel , Griffith, Randall, Clark, David, Grossman, Hillel, Mitsis, Effie, Romirowsky, Aliza, deToledo‐Morrell, Leyla, Duara, Ranjan , Varon, Daniel, Roberts, Peggy, Albert, Marilyn, Onyike, Chiadi, Kielb, Stephanie , Glodzik, Lidia , Santi, Susan De , Doraiswamy, P. Murali , Petrella, Jeffrey R. , Coleman, R. Edward, Arnold, Steven E., Karlawish, Jason , Smith, Charles D., Jicha, Gregory A. , Hardy, Peter , Oakley, MaryAnn, Simpson, Donna M., Goldstein, Bonnie S., Martin, Kim, Makino, Kelly M., Ismail, M. Saleem , Brand, Connie, Mulnard, Ruth A., Thai, Gaby , Mc-Adams-Ortiz, Catherine, Mathews, Dana, Quiceno, Mary , King, Richard, Weiner, Myron, Martin-Cook, Kristen, Devous, Michael D. , Cellar, Janet S., Anderson, Heather S., Swerdlow, Russell H. , Apostolova, Liana , Lu, Po H. , Bartzokis, George, Graff‐Radford, Neill R. , Parfitt, Francine, Farlow, Martin R. , Hake, Ann Marie , Matthews, Brandy R., Herring, Scott, Dyck, Christopher H. van , Carson, Richard E. , MacAvoy, Martha G., Chertkow, Howard, Bergman, Howard , Hosein, Chris, Caldwell, Curtis, Hsiung, Ging‐Yuek Robin , Mudge, Benita, Assaly, Michele, Kertesz, Andrew, Rogers, John, Trost, Dick, Bernick, Charles , Munic, Donna, Mesulam, Marek-Marsel, Lipowski, Kristina, Wu, Chuang‐Kuo, Johnson, Nancy , Sadowsky, Carl, Villena, Teresa, Johnson, Kathleen, Reynolds, Brigid, Johnson, Keith A. , Marshall, Gad A. , Frey, Meghan , Yesavage, Jerome A. , Taylor, Joy L. , Lane, Barton , Rosen, Allyson , Tinklenberg, Jared, Sabbagh, Marwan N. , Belden, Christine M. , Jacobson, Sandra A. , Kowall, Neil W. , Budson, Andrew E. , Johnson, Patricia Lynn, Wolday, Saba, Bwayo, Salome K., Lerner, Alan J. , Hudson, Leon, Ogrocki, Paula, Fletcher, Evan, Olichney, John , Kittur, Smita, Borrie, Michael, Lee, T‐Y, Bartha, Dr Rob, Asthana, Sanjay , Carlsson, Cynthia M., Preda, Adrian , Tariot, Pierre N. , Fleisher, Adam , Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Kataki, Maria , Zimmerman, Earl A. , Celmins, Dzintra, Brown, Alice D., Blank, Karen, Anderson, Karen, Saykin, Andrew J., Santulli, Robert B. , Schwartz, Eben S., Williamson, Jeff D. , Garg, Pradeep , Watkins, Franklin, Ott, Brian R. , Querfurth, Henry, Tremont, Geoffrey , Salloway, Stephen , Malloy, Paul, Correia, Stephen , Rosen, Howard J. , Mintzer, Jacobo , Longmire, Crystal Flynn, Spicer, Kenneth, Rachinsky, Irina, Rogers, John, Kertesz, Andrew, Drost, Dick, Hernando, Raymundo, Sarrael, Antero, Schultz, Susan K. , Ponto, Laura L. Boles , Shim, Hyungsub , Smith, Karen E. , Relkin, Norman , Chaing, Gloria, Raudin, Lisa, Smith, Amanda , Fargher, Kristin, Raj, Balebail Ashok, Chen, Kewei , Initiative, For the Alzheimer's Disease Neuroimaging, Weiner, Michael, Weiner, Michael, Petersen, Ronald, Jagust, William, Toga, Arthur W. , Beckett, Laurel , Green, Robert C., Saykin, Andrew J., Morris, John C. , Green, Robert C., Petersen, Ronald, Donohue, Michael , Harvey, Danielle , Dale, Anders M. , Bernstein, Matt A. , Fox, Nick C. , Thompson, Paul M. , Jagust, William, Koeppe, Robert A. , Foster, Norm, Reiman, Eric M., Mathis, Chet, Lee, Virginia M.‐Y. , Saykin, Andrew J. , Foroud, Tatiana , Shen, Li , Snyder, Peter J. , Kaye, Jeffrey , Lord, Joanne L. , Petersen, Ronald, Villanueva-Meyer, Javier E. , Stern, Yaakov , Honig, Lawrence S. , Ances, Beau M. , Shah, Raj C. , Duara, Ranjan , Varón, Daniel , Rusinek, Henry , Leon, Mony J. de , Arnold, Steven E., Wolk, David A. , López, Oscar L. , Porsteinsson, Anton P. , Womack, Kyle , Diaz‐Arrastia, Ramon , Levey, Allan I. , Lah, James J. , Burns, Jeffrey M. , Silverman, Daniel H.S. , Johnson, Heather K. , Black, Sandra E. , Stefanovic, Bojana , Feldman, Howard , Kertesz, Andrew, Rogers, John, Kerwin, Diana , Martínez, Walter Fabián , Turner, Raymond Scott , Sperling, Reisa Anne , Killiany, Ronald , Norbash, Alexander , Obisesan, Thomas O. , Carmichael, Owen , Johnson, Sterling C. , Carlsson, Cynthia M. , Potkin, Steven G. , Nguyen, Dana R. , Reeder, Stephanie, Scharre, Douglas W. , Pearlson, Godfrey D. , Saykin, Andrew J., Sink, Kaycee M. , Miller, Bruce L. , Finger, Elizabeth C. , Rogers, John, Kertesz, Andrew, Jack, Clifford R , Preda, Adrian , Hsiung, Gink-Yuek , Jicha, Gregory A

Mayo Clinic

Neurology | June 18, 2015 | Volume: 85 | Issue: 2 | Pages: 144-153

10.1212/wnl.0000000000001738 | PMID 26085606 Get It

Where to Go Now With V-Go?
Thompson, Bithika , Thompson, Bithika M, Cook, Curtiss B.

Mayo Clinic

Journal of Diabetes Science and Technology | June 15, 2015 | Volume: 9 | Issue: 5 | Pages: 1117-1118

10.1177/1932296815590155 | PMID 26078256 Get It

V-Go™ is a mechanical continuous insulin delivery device releasing a basal amount of rapid acting insulin that also allows the user the ability to deliver discrete meal time or correction doses. This analysis reviews available published literature on the technology, and discusses a recent article comparing the V-Go system with multiple daily insulin injection therapy. Finally, suggestions for future studies are provided.
A contemporary approach to validity arguments: a practical guide to K ane's framework
Cook, David A. , Brydges, Ryan , Ginsburg, Shiphra , Hatala, Rose

Mayo Clinic

Medical Education | May 19, 2015 | Volume: 49 | Issue: 6 | Pages: 560-575

10.1111/medu.12678 | PMID 25989405 Get It

Context Assessment is central to medical education and the validation of assessments is vital to their use. Earlier validity frameworks suffer from a multiplicity of types of validity or failure to prioritise among sources of validity evidence. Kane's framework addresses both concerns by emphasising key inferences as the assessment progresses from a single observation to a final decision. Evidence evaluating these inferences is planned and presented as a validity argument. Objectives We aim to offer a practical introduction to the key concepts of Kane's framework that educators will find accessible and applicable to a wide range of assessment tools and activities. Results All assessments are ultimately intended to facilitate a defensible decision about the person being assessed. Validation is the process of collecting and interpreting evidence to support that decision. Rigorous validation involves articulating the claims and assumptions associated with the proposed decision (the interpretation/use argument), empirically testing these assumptions, and organising evidence into a coherent validity argument. Kane identifies four inferences in the validity argument: Scoring (translating an observation into one or more scores); Generalisation (using the score[s] as a reflection of performance in a test setting); Extrapolation (using the score[s] as a reflection of real‐world performance), and Implications (applying the score[s] to inform a decision or action). Evidence should be collected to support each of these inferences and should focus on the most questionable assumptions in the chain of inference. Key assumptions (and needed evidence) vary depending on the assessment's intended use or associated decision. Kane's framework applies to quantitative and qualitative assessments, and to individual tests and programmes of assessment. Conclusions Validation focuses on evaluating the key claims, assumptions and inferences that link assessment scores with their intended interpretations and uses. The Implications and associated decisions are the most important inferences in the validity argument.
Abstract 272: Evidence of decreased prevalence of the t(11;14) translocation in black patients with multiple myeloma: A multi-center study
Greenberg, Alexandra J. , Philip, Sunita, Paner, Agne, Velinova, Sylvia, Badros, Ashraf , Catchatorian, Rosalind, Kyle, Robert A. , Kumar, Shaji , Vachon, Celine M. , Larson, Dirk R. , Ketterling, Rhett P. , Vachon, Celine M. , Rajkumar, S. Vincent

Mayo Clinic

Cancer Research | May 4, 2015 | Volume: 74 | Issue: 19_Supplement | Pages: 272-272

10.1158/1538-7445.am2014-272 Get It

Abstract The incidence of multiple myeloma (MM) is twice as high in blacks compared with whites. MM consists of several different cytogenetic subtypes, with differing presentations, response to therapy, and prognosis. The studies that have characterized the distribution of the primary cytogenetic abnormalities by fluorescence in-situ hybridization (FISH) testing have been primarily conducted in white populations, and more data are needed on whether the distribution of these cytogenetic abnormalities differs in black compared with white MM patients, and to determine if the increased prevalence of MM in blacks is related to specific subtypes of the disease. In this multi-center study, we examined four common clinically assessed cytogenetic subtypes (t(11;14), t(4;14), del13q, and del17p) at time of MM diagnosis in 245 black patients from 3 clinics who had prior FISH testing available in medical records. We compared the prevalence of these subtypes with our previously characterized Mayo Clinic cohort which was all Caucasian (n=484). The t(11;14) translocation was seen in 9 of 245 (4%) black patients with MM; this was significantly lower than the rate of t(11;14) translocations seen in white patients from Mayo Clinic (18%), p &lt; 0.0001). In contrast to t(11;14), the prevalence of the t(4;14) translocation across the two groups was similar (p= 0.92). We conclude that the prevalence of t(11;14) translocation is significantly lower in blacks with myeloma compared with whites. Our findings suggest that the distribution of cytogenetic subtypes found in MM may differ significantly by race, and further studies assessing differences in the prevalence of other primary cytogenetic abnormalities such as trisomies, t(6;14), t(14;16), and t(14;20) are needed. Furthermore, these results support the hypothesis previously put forth that there are several different subtypes of multiple myeloma that may be defined by the major cytogenetic translocations. Since these results differ from those previously reported (Baker et al 2013, Blood), we are conducting further analyses of these data to examine possible factors that could account for the differential association of translocation by race, including probes used. Citation Format: Alexandra Joelle Greenberg, Sunita Philip, Agne Paner, Sylvia Velinova, Ashraf Badros, Rosalind Catchatorian, Dirk Larson, Rhett Ketterling, Robert A. Kyle, Shaji Kumar, Celine M. Vachon, S. Vincent Rajkumar. Evidence of decreased prevalence of the t(11;14) translocation in black patients with multiple myeloma: A multi-center study. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 272. doi:10.1158/1538-7445.AM2014-272
Abstract 2167: Infertility and risk of incident endometrial carcinoma: a pooled analysis from the Epidemiology of Endometrial Cancer Consortium
Weiderpass, Elisabete , Adami, Hans‐Olov , Anderson, Kristin E. , Cai, Hui , Clendenen, Tess V. , Felix, Ashley S. , Goodman, Marc T. , Liang, Xiaolin , Lissowska, Jolanta , Magliocco, Anthony M., McCann, Susan E. , Moysich, Kristen B., Pike, Malcolm C. , Shu, Xiao Ou , Wentzensen, Nicolas , Zeleniuch‐Jacquotte, Anne , Brinton, Louise A. , Yang, Hannah , Cook, Linda S. , Cerhan, James R. , Friedenreich, Christine M , García‐Closas, Montserrat , Lu, Lingeng , Olson, Sara H. , Polidoro, Silvia , Ricceri, Fulvio , Risch, Harvey A. , Sacerdote, Carlotta , Setiawan, Veronica Wendy , Spurdle, Amanda B. , Trabert, Britton , Webb, Penelope M. , Xiang, Yong‐Bing , Xu, Y. , Yu, Kai , Weiderpass, Elisabete , Lissowska, Jolanta , Zeleniuch-Jacquotte, Anne , Goodman, Marc T

Mayo Clinic

Cancer Research | May 1, 2015 | Volume: 74 | Issue: 19_Supplement | Pages: 2167-2167

10.1158/1538-7445.am2014-2167 Get It

Abstract Background: Nulliparity is an established endometrial cancer risk factor, but whether this association is related to infertility is unclear. Although there are many underlying causes of infertility, few studies have assessed risk relationships according to specific causes. Despite concerns that most treatments induce ovulation and that the endometrium is highly hormonally-responsive, previous studies have provided conflicting results on treatment associations. Methods: To address these issues, we conducted a pooled analysis of 8,151 cases and12,471 controls from 2 cohort and 12 case-control studies conducted in 1982 to 2009 (N. America, Europe, Australia, Asia). All studies provided self-reported infertility, causes and treatments, except for 1 study that relied on data from national registries. Study-specific exposures and covariate data were harmonized across studies. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI), adjusted for study, age, interview year, race, parity, oral contraceptive and menopausal hormone use, and body mass index. If data were not reported for a particular variable, that study was excluded from the variable-specific analysis. Results: Nulliparous women had an elevated endometrial cancer risk compared with parous women (adjusted OR=1.73; 95% CI: 1.58-1.90).Women with self-reported infertility also had an increased risk (adjusted OR=1.22; 95% CI: 1.13-1.32) compared with those without infertility issues, even after adjusting for parity; the strongest associations was seen among studies that defined infertility as unsuccessfully trying to conceive for 2+ years (adjusted OR=1.31; 95% CI: 1.07-1.60). Infertility was associated with similar risks among nulliparous (1.22; 1.10-1.48) and parous (1.22; 1.12-1.34) women, although there was no increased risk associated with infertility among those who had given birth to 3+ children. Two infertility causes associated with risk elevation were endometriosis (adjusted OR=2.08; 95% CI: 1.46-2.95 compared with women no infertility problems) and anovulation (adjusted OR=1.40; 95% CI: 1.16-1.70). Based on relatively small numbers, none of the individual treatments (in vitro fertilization, selective estrogen response modulators, gonatropins, progestins, estrogens) were substantially related to risk. Conclusion: Based on mainly self-reported infertility data, we found that parity and infertility independently contribute to endometrial cancer risk, with parity seemingly being the predominant risk predictor. Understanding residual endometrial cancer relationships related to causes of infertility and infertility treatment may benefit from documented medical information on causes of infertility and treatment parameters. Citation Format: Hannah P. Yang, Linda S. Cook, Elisabete Weiderpass, Hans-Olov Adami, Kristin E. Anderson, Hui Cai, James R. Cerhan, Tess Clendenen, Ashley S. Felix, Christine Friedenreich, Montserrat Garcia-Closas, Marc T. Goodman, Xiaolin Liang, Jolanta Lissowska, Lingeng Lu, Anthony M. Magliocco, Susan E. McCann, Kristen B. Moysich, Sara H. Olson, Malcolm C. Pike, Silvia Polidoro, Fulvio Ricceri, Harvey Risch, Carlotta Sacerdote, V. Wendy Setiawan, Xiao Ou Shu, Amanda B. Spurdle, Britton Trabert, Penelope M. Webb, Nicolas Wentzensen, Yong-Bing Xiang, Youming Xu, Herbert Yu, Anne Zeleniuch-Jacquotte, Louise A. Brinton. Infertility and risk of incident endometrial carcinoma: a pooled analysis from the Epidemiology of Endometrial Cancer Consortium. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2167. doi:10.1158/1538-7445.AM2014-2167