Citations

Clear

145 citation(s) found for "Fitzgerald, Seán".

Quality assurance review center: Role in multi-institutional breast cancer trials.
Moni, Janaki, Le‐Petross, Huong T. , Boughey, JC , Laurie, F., Hanusik, Richard, Howley, Susan, Logan, D, Bishop‐Jodoin, Maryann , Simmons, R.M., Ellis, MJ, Hunt, Katie N. , Cicchetti, M. Giulia, Sioshansi, Shirin, Quinlan, Robert, Whalen, G, FitzGerald, Thomas J.

Mayo Clinic

Journal of Clinical Oncology | February 23, 2017 | Volume: 29 | Issue: 27_suppl | Pages: 205-205

10.1200/jco.2011.29.27_suppl.205 Get It

205 Background: Central review is an important trial management and validation tool. Multisite trials require data systems to accommodate diverse image acquisition and review. Breast cancer is challenging as its imaging objects are not always easily shared across departments. Quality Assurance Review Center (QARC) has a diverse portfolio of facile data acquisition and powerful informatics support that meets these needs. We report on the role of QARC in three of the current breast cancer trials from the American College of Surgeons Oncology Group. Methods: QARC data management system includes secure network infrastructure and a validated relational operating database (MAX). QARC has data acquisition/imaging re-distribution expertise for real time response reviews, response measuring tools and corresponding data archive for secondary reviews. MAX includes query ability; records link to digital information. QARC underwent systematic information systems validation process for 21 CFR Part 11. DICOM/non-DICOM files are stored in the QARC PACS. On-site/remote reviewers use MAX to retrieve, view, annotate and save images. Data extracted is securely sent to partner statistical centers. Results: In Z1031, a neoadjuvant endocrine therapy trial, all of the mammographic exams are archived at QARC. For Z1071, a sentinel lymph node trial, pre- and post-treatment ultrasound (US) images of 321 patients were remotely reviewed. For Z1072, the cryoablation US, pre and post-cryoablation MRI for 40 of 47 cases were remotely archived, retrieved and transferred to investigator workstation for post-processing and review. The other 7 patients did not have evaluable imaging studies. In all three trials, the costs of shipping hardcopies of exams and travel to QARC for central review functions were eliminated. Conclusions: QARC data management systems provide diverse informatics supports for multi-institutional trials, ranging from archives of images, provide remote access and download of data, and central review. The vibrant informatics supports meet the growing needs of clinical trials. Future directions include radiation field review for breast cancer trials and the incorporation of pathology microarray analysis as DICOM objects.
Whole exome sequencing in 75 high-risk families with validation and replication in independent case-control studies identifies TANGO2, OR5H14, and CHAD as new prostate cancer susceptibility genes
Karyadi, Danielle M. , Geybels, Milan S., Karlins, Eric , Decker, Brennan , McIntosh, Laura, Hutchinson, Amy , McDonnell, Shannon K. , Hicks, Belynda , Middha, Sumit , DeRycke, Melissa S. , Schaid, Daniel J. , Thibodeau, Stephen N. , Berndt, Sonja I. , Stanford, Janet L. , Ostrander, Elaine A. , Decker, Brennan , Kolb, Suzanne , FitzGerald, Liesel M. , Yeager, Meredith , Chanock, Stephen Jacob , McDonnell, Shannon K

Mayo Clinic

Oncotarget | November 26, 2016 | Volume: 8 | Issue: 1 | Pages: 1495-1507

10.18632/oncotarget.13646 | PMID 27902461 Get It

The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers
Wang, Zhaoming , Schumacher, Fredrick R. , Gayther, Simon A. , Casey, Graham , Sellers, Thomas A. , Gruber, Stephen B., Dunning, Alison M. , Michailidou, Kyriaki , Fachal, Laura , Doheny, Kimberly F. , Li, Yafang , Xiao, Xiangjun , Romm, Jane, Pugh, Elizabeth, Coetzee, Gerhard A. , Hazelett, Dennis J. , Bojesen, Stig E. , Caga-Anan, Charlisse , Haiman, Christopher A. , Kamal, Ahsan , Luccarini, Craig , Tessier, Daniel C., Vincent, Daniel , Bacot, François, Berg, David Van Den , Nelson, Stefanie A. , Demetriades, Stephen, Goldgar, David E., Forman, Judith L., Conti, David V. , Bickeböller, Heike , Risch, Angela , Waldenberger, Mélanie , Brüske‐Hohlfeld, Irene, Hicks, Belynda , McGuffog, Lesley, Kuchenbaecker, Karoline , Soucy, Penny, Manz, Judith, Cunningham, Julie M. , Butterbach, Katja, Kote‐Jarai, Zsofia , Kraft, Peter , Lindström, Sara , Adams, Marcia, McKay, James , Phelan, Catherine M., Benlloch, Sara, Kelemen, Linda E., Brennan, Paul , Riggan, Marjorie J. , O’Mara, Tracy A. , Shen, Hongbing , Shi, Yongyong , Thompson, Deborah J. , Goodman, Marc T. , Nielsen, Sune F. , LaBoissière, Sylvie, Schmit, Stephanie L. , Shelford, Tameka, Edlund, Christopher K., Taylor, Jack A. , Field, John K. , Park, Sue K. , Offit, Kenneth , Thomassen, Mads , Schmutzler, Rita K., Ottini, Laura , Hung, Rayjean J., Olama, Ali Amin Al , Peters, Ulrike , Eeles, Rosalind A. , Seldin, Michael F., Gillanders, Elizabeth M. , Seminara, Daniela, Antoniou, Antonis C. , Chenevix‐Trench, Georgia , Simard, Jacques , Easton, Douglas F. , Durocher, Francine , Hung, Rayjean J. , Amos, Christopher I. , Dennis, Joe , Byun, Jinyoung , Hunter, David J. , Spurdle, Amanda B. , Couch, Fergus J. , Giles, Graham G. , Ling, Hua , Lee, Andrew , FitzGerald, Liesel M. , Berchuck, Andrew , Marchini, Jonathan , Pharoah, Paul D.P. , Chanock, Stephen Jacob , Hazelett, Dennis J , Eeles, Rosalind A , Van Den Berg, David J , Hung, Rayjean J , Wang, Zhaoming , O'Mara, Tracy A , Field, John K , Dunning, Alison M , Michailidou, Kyriaki , Taylor, Jack A , Kraft, Peter , Simard, Jacques , Chenevix-Trench, Georgia , Ottini, Laura , Conti, David V , Bojesen, Stig E , Risch, Angela , Bickeböller, Heike , Shen, Hongbing , Goodman, Marc T , Fachal, Laura

Mayo Clinic

Cancer Epidemiology, Biomarkers & Prevention | October 3, 2016 | Volume: 26 | Issue: 1 | Pages: 126-135

10.1158/1055-9965.epi-16-0106 | PMID 27697780 Get It

Abstract Background: Common cancers develop through a multistep process often including inherited susceptibility. Collaboration among multiple institutions, and funding from multiple sources, has allowed the development of an inexpensive genotyping microarray, the OncoArray. The array includes a genome-wide backbone, comprising 230,000 SNPs tagging most common genetic variants, together with dense mapping of known susceptibility regions, rare variants from sequencing experiments, pharmacogenetic markers, and cancer-related traits. Methods: The OncoArray can be genotyped using a novel technology developed by Illumina to facilitate efficient genotyping. The consortium developed standard approaches for selecting SNPs for study, for quality control of markers, and for ancestry analysis. The array was genotyped at selected sites and with prespecified replicate samples to permit evaluation of genotyping accuracy among centers and by ethnic background. Results: The OncoArray consortium genotyped 447,705 samples. A total of 494,763 SNPs passed quality control steps with a sample success rate of 97% of the samples. Participating sites performed ancestry analysis using a common set of markers and a scoring algorithm based on principal components analysis. Conclusions: Results from these analyses will enable researchers to identify new susceptibility loci, perform fine-mapping of new or known loci associated with either single or multiple cancers, assess the degree of overlap in cancer causation and pleiotropic effects of loci that have been identified for disease-specific risk, and jointly model genetic, environmental, and lifestyle-related exposures. Impact: Ongoing analyses will shed light on etiology and risk assessment for many types of cancer. Cancer Epidemiol Biomarkers Prev; 26(1); 126–35. ©2016 AACR.
Reliability of Triaxial Accelerometry for Measuring Load in Men's Collegiate Ice Hockey
Iterson, Erik H. Van , Fitzgerald, John S. , Dietz, Calvin C., Snyder, Eric M., Peterson, Ben , Van Iterson, Erik H, Van Iterson, Erik H

Mayo Clinic

Journal of Strength and Conditioning Research | August 20, 2016 | Volume: 31 | Issue: 5 | Pages: 1305-1312

10.1519/jsc.0000000000001611 | PMID 27548782 Get It

Abstract Van Iterson, EH, Fitzgerald, JS, Dietz, CC, Snyder, EM, and Peterson, BJ. Reliability of triaxial accelerometry for measuring load in men's collegiate ice hockey. J Strength Cond Res 31(5): 1305–1312, 2017—Wearable microsensor technology incorporating triaxial accelerometry is used to quantify an index of mechanical stress associated with sport-specific movements termed PlayerLoad. The test-retest reliability of PlayerLoad in the environmental setting of ice hockey is unknown. The primary aim of this study was to quantify the test-retest reliability of PlayerLoad in ice hockey players during performance of tasks simulating game conditions. Division I collegiate male ice hockey players ( N = 8) wore Catapult Optimeye S5 monitors during repeat performance of 9 ice hockey tasks simulating game conditions. Ordered ice hockey tasks during repeated bouts included acceleration (forward or backward), 60% top-speed, top-speed (forward or backward), repeated shift circuit, ice coasting, slap shot, and bench sitting. Coefficient of variation (CV), intraclass correlation coefficient (ICC), and minimum difference (MD) were used to assess PlayerLoad reliability. Test-retest CVs and ICCs of PlayerLoad were as follows: 8.6% and 0.54 for forward acceleration, 13.8% and 0.78 for backward acceleration, 2.2% and 0.96 for 60% top-speed, 7.5% and 0.79 for forward top-speed, 2.8% and 0.96 for backward top-speed, 26.6% and 0.95 for repeated shift test, 3.9% and 0.68 for slap shot, 3.7% and 0.98 for coasting, and 4.1% and 0.98 for bench sitting, respectively. Raw differences between bouts were not significant for ice hockey tasks ( p > 0.05). For each task, between-bout raw differences were lower vs. MD: 0.06 vs. 0.35 (forward acceleration), 0.07 vs. 0.36 (backward acceleration), 0.00 vs. 0.06 (60% top-speed), 0.03 vs. 0.20 (forward top-speed), 0.02 vs. 0.09 (backward top-speed), 0.18 vs. 0.64 (repeated shift test), 0.02 vs. 0.10 (slap shot), 0.00 vs. 0.10 (coasting), and 0.01 vs. 0.11 (bench sitting), respectively. These data suggest that PlayerLoad demonstrates moderate-to-large test-retest reliability in the environmental setting of male Division I collegiate ice hockey. Without previously testing reliability, these data are important as PlayerLoad is routinely quantified in male collegiate ice hockey to assess on ice physical activity.
Germline variation in inflammation-related pathways and risk of Barrett's oesophagus and oesophageal adenocarcinoma
Buas, Matthew F. , He, Qianchuan , Johnson, Lisa, Onstad, Lynn , Levine, David , Gharahkhani, Puya , Palles, Claire , Lagergren, Jesper , Fitzgerald, Rebecca C. , Ye, Weimin , Caldas, Carlos , Bird, Nigel C., Shaheen, Nicholas J. , Gammon, Marilie D. , Wu, Anna H. , Hardie, Laura J. , Liu, Geoffrey , Iyer, Prassad, Corley, Douglas A. , Chow, Wong‐Ho , Prenen, Hans , Chegwidden, Laura , Love, Sharon , Attwood, Stephen E., MacDonald, David , Harrison, Rebecca , Barr, Hugh , Caestecker, John de , Tomlinson, Ian , Jankowski, Janusz , Whiteman, David C. , MacGregor, Stuart , Vaughan, Thomas L. , Madeleine, Margaret M. , Thrift, Aaron P. , Bernstein, Leslie , Pharoah, Paul D.P. , Risch, Harvey A. , Moayyedi, Paul , Watson, Peter J. , Caldas, Carlos , Liu, Geoffrey , Gharahkhani, Puya , MacGregor, Stuart , Lagergren, Jesper , Hardie, Laura J , Ye, Weimin , Love, Sharon B , deCaestecker, John , Prenen, Hans , Palles, Claire , Jankowski, Janusz A , Whiteman, David C , Buas, Matthew F

Mayo Clinic

Gut | August 2, 2016 | Volume: 66 | Issue: 10 | Pages: 1739-1747

10.1136/gutjnl-2016-311622 | PMID 27486097 Get It

Objective Oesophageal adenocarcinoma (OA) incidence has risen sharply in Western countries over recent decades. Local and systemic inflammation is considered an important contributor to OA pathogenesis. Established risk factors for OA and its precursor, Barrett's oesophagus (BE), include symptomatic reflux, obesity and smoking. The role of inherited genetic susceptibility remains an area of active investigation. Here, we explore whether germline variation related to inflammatory processes influences susceptibility to BE/OA. Design We used data from a genomewide association study of 2515 OA cases, 3295 BE cases and 3207 controls. Our analysis included 7863 single-nucleotide polymorphisms (SNPs) in 449 genes assigned to five pathways: cyclooxygenase (COX), cytokine signalling, oxidative stress, human leucocyte antigen and nuclear factor-κB. A principal components-based analytic framework was employed to evaluate pathway-level and gene-level associations with disease risk. Results We identified a significant signal for the COX pathway in relation to BE risk (p=0.0059, false discovery rate q=0.03), and in gene-level analyses found an association with microsomal glutathione-S-transferase 1 (MGST1); (p=0.0005, q=0.005). Assessment of 36 MGST1 SNPs identified 14 variants associated with elevated BE risk (q<0.05). Four of these were subsequently confirmed (p<5.5×10−5) in a meta-analysis encompassing an independent set of 1851 BE cases and 3496 controls, and are known strong expression quantitative trait loci for MGST1. Three such variants were associated with similar elevations in OA risk. Conclusions This study provides the most comprehensive evaluation of inflammation-related germline variation in relation to risk of BE/OA and suggests that variants in MGST1 influence disease susceptibility.
Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types
Kar, Siddhartha , Beesley, Jonathan, Olama, Ali Amin Al , Michailidou, Kyriaki , Lawrenson, Kate , Lindström, Sara, Ramus, Susan J. , Thompson, Deborah J. , Investigators, ABCTB, Kibel, Adam S. , Dansonka‐Mieszkowska, Agnieszka , Michael, Agnieszka , Dieffenbach, Aida Karina, Whittemore, Alice S. , Monteiro, Álvaro N.A. , Peixoto, Ana , González‐Neira, Anna , Wu, Anna H. , Lindblom, Annika , Swerdlow, Anthony J. , Cancer), AOCS Study Group & Australian Cancer Study (Ovarian, BioResource, APCB, Ekici, Arif B. , Burwinkel, Barbara , Nordestgaard, Børge G. , Blomqvist, Carl , Phelan, Catherine, McLean, Catriona , Pearce, Celeste Leigh, Vachon, Celine M. , Stegmaier, Christa, Maier, Christiane, Høgdall, Claus , Kang, Daehee , Tessier, Daniel C., Schaid, Daniel J. , Neal, David E. , Eccles, Diana , Flesch‐Janys, Dieter, Wokozorczyk, Dominika, Levine, Douglas A. , Yannoukakos, Drakoulis , Sawyer, Elinor J. , Goode, Ellen L. , Хуснутдинова, Э. К. , Høgdall, Estrid , Song, Fengju, Bruinsma, Fiona, Heitz, Florian , Hamdy, Freddie C. , Olsson, Håkan , Wildiers, Hans , Ulmer, Hans-Ulrich, Pandha, Hardev , Darabi, Hatef, Salvesen, Helga B., Grönberg, Henrik , Brenner, Hermann , Brauch, Hiltrud , Song, Honglin , Lim, Hui-Yi, McNeish, Iain A. , Campbell, Ian , Vergote, Ignace , Lubiński, Jan , Stanford, Janet L. , Benı́tez, Javier , Chang‐Claude, Jenny , Donovan, Jenny , Schildkraut, Joellen M. , Schleutker, Johanna , Hopper, John L. , Kupryjańczyk, Jolanta , Figueroa, Jonine D. , Clements, Judith A. , Knight, Julia A. , Peto, Julian , Cunningham, Julie M. , Pow‐Sang, Julio M. , Batra, Jyotsna , Lu, Karen H., Herkommer, Kathleen , Investigators, kConFab, Matsuo, Keitaro , Muir, Kenneth , Offitt, Kenneth, Chen, Kexin , Moysich, Kirsten B., Aittomäki, Kristiina, Odunsi, Kunle , Kiemeney, Lambertus A. , Massuger, Leon F.A.G. , Hooning, Maartje J. , Pike, Malcolm C., Bolla, Manjeet K. , Luedeke, Manuel, Teixeira, Manuel R. , Goodman, Marc T. , Schmidt, Marjanka K. , Riggan, Marjorie J. , Rossing, Mary Anne, Beckmann, Matthias W. , Moisse, Matthieu , Southey, Melissa C. , Jones, Michael E. , Hildebrandt, Michelle A.T., Hou, Ming‐Feng , Schoemaker, Minouk J. , García‐Closas, Montserrat , Bogdanova, Natalia , Investigators, NBCS, Le, Nhu D. , Orr, Nick , Wentzensen, Nicolas , Pashayan, Nora , Peterlongo, Paolo , Guénel, Pascal , Brennan, Paul , Paulo, Paula , Webb, Penelope M. , Broberg, Per, Fasching, Peter A. , Devilee, Peter , Wang, Qin, Kaneva, Radka , Kopperud, Reidun Kristin, Schmutzler, Rita K., Stephenson, Robert A., MacInnis, Robert J. , Hoover, Robert N. , Winqvist, Robert , Ness, Roberta B., Travis, Ruth C. , Benlloch, Sara, Olson, Sara H. , McDonnell, Shannon K. , Tworoger, Shelley S. , Maia, Sofia , Berndt, Sonja I., Lee, Soo Chin , Teo, Soo‐Hwang , Thibodeau, Stephen N. , Bojesen, Stig E. , Gapstur, Susan M. , Tammela, Teuvo L.J. , Network, the GENICA, Dörk, Thilo , Brüning, Thomas , Wahlfors, Tiina , Edwards, Todd L., Menon, Usha , Hamann, Ute , Mitev, Vanio , Kosma, Veli‐Matti , Setiawan, Veronica Wendy , Kristensen, Vessela, Vogel, Walther , Zheng, Wei , Sieh, Weiva , Blot, William J. , Kluźniak, Wojciech , Gao, Yu‐Tang , Schumacher, Fredrick R. , Freedman, Matthew L., Dunning, Alison M. , Simard, Jacques , Haiman, Christopher A. , Sellers, Thomas A. , Hunter, David J. , Henderson, Brian E., Kraft, Peter , Gayther, Simon A. , Easton, Douglas F. , Chenevix‐Trench, Georgia , Eeles, Rosalind A. , Lambrechts, Diether , Lu, Karen H. , Durocher, Francine , Zheng, Wei , Thorne, Heather , Lambrechts, Diether , Chen, Kexin , Vachon, Celine, Tyrer, Jonathan P. , Kote‐Jarai, Zsofia , Investigators, ABCTB, Gentry‐Maharaj, Aleksandra , Wolk, Alicja , Kierzek, Andrzej , Cox, Angela , Rudolph, Anja , Cancer), AOCS Study Group & Australian Cancer Study (Ovarian, BioResource, APCB, Ziogas, Argyrios , Karlan, Beth Y. , Vachon, Celine M. , Cybulski, Cezary , Slavov, Chavdar , Ambrosone, Christine B. , Teerlink, Craig C. , Stram, Daniel O. , Cramer, Daniel W. , Edwards, Digna R. Velez , Bandera, Elisa V. , Poole, Elizabeth M. , Song, Fengju , Modugno, Francesmary , Wiklund, Fredrik E. , Giles, Graham G. , Risch, Harvey A. , Nevanlinna, Heli , Anton‐Culver, Hoda , Gronwald, Jacek , Doherty, Jennifer A. , Permuth, Jennifer B. , Dennis, Joe , Park, Jong Y. , Czene, Kamila , Khaw, Kay‐Tee , Investigators, kConFab, Moysich, Kirsten B., FitzGerald, Liesel M. , Cook, Linda S. , Cannon‐Albright, Lisa , Hooning, Maartje J. , Aly, Markus , Sanderson, Maureen , Lush, Michael J. , Hildebrandt, Michelle A.T. , Rahman, Nazneen , Investigators, NBCS, Wang, Qin, Cai, Qiuyin , Li, Qiyuan , Bützow, Ralf C. , Milne, Roger L. , Berndt, Sonja I. , Kjær, Susanne K. , Pejovic, Tanja B. , Network, the GENICA, Key, Tim , Kristensen, Vessela N. , Arndt, Volker , Shu, Xiao‐Ou , Berchuck, Andrew , Spurdle, Amanda B. , Chanock, Stephen Jacob , Couch, Fergus J. , Hall, Per N , Pharoah, Paul D.P. , Dörk, Thilo , Lambrechts, Diether , Kiemeney, Lambertus A , McNeish, Iain A , Peterlongo, Paolo , Ramus, Susan J , Teixeira, Manuel R , Teo, Soo H , Tworoger, Shelley S , Webb, Penelope M , Eccles, Diana , Menon, Usha , Lawrenson, Kate , Monteiro, Alvaro N , Swerdlow, Anthony J , Moysich, Kirsten , Campbell, Ian G , Eeles, Rosalind A , Southey, Melissa C , Donovan, Jenny L , Muir, Kenneth , Schleutker, Johanna , Travis, Ruth C , Pashayan, Nora , Michael, Agnieszka , Maclnnis, Robert , Matsuo, Keitaro , Dunning, Alison M , Heitz, Florian , Jones, Michael E , Kupryjanczyk, Jolanta , Lambrechts, Diether , Sieh, Weiva , Brenner, Hermann , Guénel, Pascal , García-Closas, Montserrat , Schmidt, Marjanka K , Ekici, Arif B , Moisse, Matthieu , Michailidou, Kyriaki , Bogdanova, Natalia V , Kraft, Peter , Benitez, Javier , Simard, Jacques , Chenevix-Trench, Georgia , Zheng, Wei , Figueroa, Jonine D , Høgdall, Estrid , Høgdall, Claus K , Kar, Siddhartha , Batra, Jyotsna , Clements, Judith , Setiawan, Veronica W , Yannoukakos, Drakoulis , Devilee, Peter , Lubinski, Jan , Bojesen, Stig E , Schoemaker, Minouk J , Goodman, Marc T , Wildiers, Hans , Mclean, Catriona , Brauch, Hiltrud , Lindblom, Annika , Sawyer, Elinor J , Orr, Nick , McDonnell, Shannon K , Kang, Daehee

Mayo Clinic

Cancer Discovery | July 18, 2016 | Volume: 6 | Issue: 9 | Pages: 1052-1067

10.1158/2159-8290.cd-15-1227 | PMID 27432226 Get It

Abstract Breast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349 cases and 116,421 controls of European ancestry, all together and in pairs, identified at P &lt; 10−8 seven new cross-cancer loci: three associated with susceptibility to all three cancers (rs17041869/2q13/BCL2L11; rs7937840/11q12/INCENP; rs1469713/19p13/GATAD2A), two breast and ovarian cancer risk loci (rs200182588/9q31/SMC2; rs8037137/15q26/RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/NSUN4; rs9375701/6q23/L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell-type–specific expression quantitative trait locus and enhancer–gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P &lt; 10−5 in the three-cancer meta-analysis. Significance: We demonstrate that combining large-scale GWA meta-analysis findings across cancer types can identify completely new risk loci common to breast, ovarian, and prostate cancers. We show that the identification of such cross-cancer risk loci has the potential to shed new light on the shared biology underlying these hormone-related cancers. Cancer Discov; 6(9); 1052–67. ©2016 AACR. This article is highlighted in the In This Issue feature, p. 932
Triathlete Risk of Pelvic Floor Disorders, Pelvic Girdle Pain, and Female Athlete Triad
Yi, Johnny , Tenfelde, Sandi , Tell, Dina , Brincat, Cynthia, Fitzgerald, Colleen M.

Mayo Clinic

Female Pelvic Medicine & Reconstructive Surgery | July 14, 2016 | Volume: 22 | Issue: 5 | Pages: 373-376

10.1097/spv.0000000000000296 | PMID 27403753 Get It

Objectives Our primary objective was to describe the prevalence of pelvic floor disorders (PFDs), pelvic girdle pain (PGP), and the female athlete triad (disordered eating, menstrual irregularities, and osteoporosis) in a female triathlete population. We also evaluated for an association between these conditions. Methods We administered an online survey to women who self-identified as female triathletes. Using validated questionnaires, Epidemiology of Prolapse and Incontinence Questionnaire and Pelvic Girdle Questionnaire, along with the female athlete triad questionnaire, we identified the prevalence of PFDs, PGP, and female athlete triad in this specific population. Demographic and exercise intensity were also queried to characterize these female triathletes. Results Three hundred eleven female triathletes responded to the Internet survey. There was a significant prevalence of PFDs with stress urinary incontinence and anal incontinence symptoms being most common (37.4% and 28%, respectively). Urgency urinary incontinence and pelvic organ prolapse were less common (16% and 5%, respectively). Stress urinary incontinence and pelvic organ prolapse were more common in parous triathletes (P = 0.001, P = 0.05). Pelvic girdle pain was noted in 18% of these triathletes but was not disabling. Twenty-four percent of participants screened positive for at least 1 arm of the female athlete triad. No association was found between the female athlete triad and PFDs. Conclusions Pelvic floor disorders are common and bothersome in female triathletes. Pelvic girdle pain, while present, does not limit these athletes from their training. These female triathletes may be at risk for the female athlete triad. Female triathletes may be at risk for both metabolic and PFDs and should be screened when identified.
Abstract OT3-02-14: A phase 1 study in patients with metastatic breast cancer to evaluate the feasibility of magnetic resonance imaging with ferrumoxytol as a potential biomarker for response to treatment with nanoliposomal irinotecan (nal-IRI, MM-398)
Jc, Sachdev, Ramanathan, R. K., Raghunand, Natarajan , Anders, CK, Munster, P.N., Minton, S., Northfelt, DW, Blanchette, Sarah, Lee, H, Klinz, SG, Moyo, V., Jb, Fitzgerald, Korn, RL, CAMPBELL, KAREN L. , Hendriks, Bart S.

Mayo Clinic

Cancer Research | May 20, 2016 | Volume: 76 | Issue: 4_Supplement | Pages: OT3-02-14-OT3-02-14

10.1158/1538-7445.sabcs15-ot3-02-14 Get It

Abstract Background: Nal-IRI (MM-398, nanoliposomal irinotecan) is designed for extended circulation relative to free irinotecan and to exploit leaky tumor vasculature for enhanced drug delivery to tumors. Tumor deposition of nal-IRI and subsequent conversion to SN-38 in both neoplastic cells and tumor associated macrophages (TAM) may positively correlate with response to therapy. In phase I studies of nal-IRI, activity has been shown in metastatic breast cancer (MBC), pancreatic and colorectal cancer. Ferumoxytol (FMX) is an iron-oxide superparamagnetic nanoparticle that has been used off-label for its MRI contrast properties. FMX has long-circulating pharmacokinetics and is taken up by TAMs with similar distribution patterns to nal-IRI in preclinical models. A single site pilot study established the feasibility of performing quantitative FMX MRI. Thirteen patients with advanced cancer (3 with ER/PR+ MBC) were imaged with FMX MRI and treated with nal-IRI. Median tumor lesion FMX uptake in the pilot study was 32.6 and 34.5 μg/mL at 1 h and 24 h, respectively. Lesions with FMX uptake above the median were associated with greater reductions in tumor size following treatment with nal-IRI as determined by CT lesion measurements. The relationship between FMX levels in tumor lesions and nal-IRI activity may serve as a potential biomarker for nal-IRI deposition and response in solid tumors. This study has been expanded to include additional MBC patients to further evaluate the technical feasibility of FMX MRI at multiple study sites, and to evaluate activity of nal-IRI in patients with MBC. Trial Design: Three cohorts of 10 patients with MBC in the following categories will be enrolled: ER and/or PR positive/HER2-negative, triple negative (TNBC) and MBC with brain metastases. An imaging phase will be followed by a treatment phase. The imaging phase consists of a baseline MRI scan, FMX infusion, and follow-up MRI scans at 1-4 and 24 h after infusion. The treatment phase begins 1-6 days after imaging and consists of nal-IRI 80 mg/m2 q2w. A pretreatment biopsy is required for correlative studies. Study Objectives: The primary objective of this multisite expansion is to investigate the feasibility of FMX quantitation in tumor lesions at multiple lesion sites in breast cancer. The secondary objective is to characterize the efficacy of nal-IRI in patients with metastatic breast cancer. Eligibility Criteria: The key inclusion criteria include patients with MBC, ECOG 0 or 1 with adequate bone marrow reserve and no prior topoisomerase 1 inhibitor or anti-VEGF treatment. ER and/or PR positive/HER2-negative and TNBC patients must have had 1-3 prior lines of chemotherapy in the metastatic setting and have at least 2 measurable lesions. Patients with brain metastasis must be neurologically stable and have new or progressive brain metastases after prior radiation therapy with at least one lesion measuring ≥ 1 cm in longest diameter on gadolinium-enhanced MRI. Status: This trial is currently recruiting patients. Citation Format: Sachdev JC, Ramanathan RK, Raghunand N, Anders C, Munster P, Minton S, Northfelt D, Blanchette S, Campbell K, Lee H, Klinz SG, Hendriks BS, Moyo V, Fitzgerald JB, Korn RL. A phase 1 study in patients with metastatic breast cancer to evaluate the feasibility of magnetic resonance imaging with ferrumoxytol as a potential biomarker for response to treatment with nanoliposomal irinotecan (nal-IRI, MM-398). [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr OT3-02-14.
Off-Ice Anaerobic Power Does Not Predict On-Ice Repeated Shift Performance in Hockey
Peterson, Ben , Fitzgerald, John S. , Dietz, Calvin C., Ziegler, Kevin S., Baker, Sarah E. , Snyder, Eric M., Peterson, Ben J, Baker, Sarah E

Mayo Clinic

Journal of Strength and Conditioning Research | January 24, 2016 | Volume: 30 | Issue: 9 | Pages: 2375-2381

10.1519/jsc.0000000000001341 | PMID 26808844 Get It

Abstract Peterson, BJ, Fitzgerald, JS, Dietz, CC, Ziegler, KS, Baker, SE, and Snyder, EM. Off-ice anaerobic power does not predict on-ice repeated shift performance in hockey. J Strength Cond Res 30(9): 2375–2381, 2016—Anaerobic power is a significant predictor of acceleration and top speed in team sport athletes. Historically, these findings have been applied to ice hockey although recent research has brought their validity for this sport into question. As ice hockey emphasizes the ability to repeatedly produce power, single bout anaerobic power tests should be examined to determine their ability to predict on-ice performance. We tested whether conventional off-ice anaerobic power tests could predict on-ice acceleration, top speed, and repeated shift performance. Forty-five hockey players, aged 18–24 years, completed anthropometric, off-ice, and on-ice tests. Anthropometric and off-ice testing included height, weight, body composition, vertical jump, and Wingate tests. On-ice testing consisted of acceleration, top speed, and repeated shift fatigue tests. Vertical jump (VJ) ( r = −0.42; r = −0.58), Wingate relative peak power (WRPP) ( r = −0.32; r = −0.43), and relative mean power (WRMP) ( r = −0.34; r = −0.48) were significantly correlated ( p ≤ 0.05) to on-ice acceleration and top speed, respectively. Conversely, none of the off-ice tests correlated with on-ice repeated shift performance, as measured by first gate, second gate, or total course fatigue; VJ ( r = 0.06; r = 0.13; r = 0.09), WRPP ( r = 0.06; r = 0.14; r = 0.10), or WRMP ( r = −0.10; r = −0.01; r = −0.01). Although conventional off-ice anaerobic power tests predict single bout on-ice acceleration and top speed, they neither predict the repeated shift ability of the player, nor are good markers for performance in ice hockey.
Genome-Wide Studies Reveal that H3K4me3 Modification in Bivalent Genes Is Dynamically Regulated during the Pluripotent Cell Cycle and Stabilized upon Differentiation
Grandy, Rodrigo A. , Whitfield, Troy W. , Wu, Hai , VanOudenhove, Jennifer , Zaidi, Sayyed K. , Montecino, Martı́n , Lian, Jane B. , Wijnen, André J. van , Stein, Janet L. , Stein, Gary S., van Wijnen, Andre J, Fitzgerald, Mark P. , van Wijnen, Andre J

Mayo Clinic

Molecular and Cellular Biology | December 8, 2015 | Volume: 36 | Issue: 4 | Pages: 615-627

10.1128/mcb.00877-15 | PMID 26644406 Get It