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758 citation(s) found for "Lake, DF".

Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci
Olama, Ali Amin Al , Benlloch, Sara, Antoniou, Antonis C. , Giles, Graham G. , Severi, Gianluca , Neal, David E. , Hamdy, Freddie C. , Donovan, Jenny , Muir, Kenneth , Schleutker, Johanna , Henderson, Brian E., Haiman, Christopher A. , Schumacher, Fredrick R. , Pashayan, Nora , Ostrander, Elaine A. , Stanford, Janet L. , Batra, Jyotsna , Clements, Judith A. , Chambers, Suzanne K. , Weischer, Maren , Nordestgaard, Børge G. , Sørensen, Karina D. , Ørntoft, Torben F., Maier, Christiane, Doerk, Thilo, Dickinson, Joanne L. , Cannon‐Albright, Lisa , Brenner, Hermann , Habuchi, Tomonori , Thibodeau, Stephen N. , Cooney, Kathleen A. , Chappuis, Pierre O. , Hutter, Pierre, Kaneva, Radka , Foulkes, William D. , Lu, Yong‐Jie , Zhang, Hongwei , Stephenson, Robert A., Cox, Angela , Southey, Melissa C. , FitzGerald, Liesel M. , Leongamornlert, Daniel , Saunders, Edward J. , Tymrakiewicz, Malgorzata, Guy, Michelle, Little, Sarah J., Govindasami, Koveela, Sawyer, Emma, Wilkinson, Rosemary, Herkommer, Kathleen , Hopper, John L. , Lophatonanon, Aritaya, Rinckleb, Antje E., Eeles, Rosalind A. , Easton, Douglas F. , Dörk, Thilo , Aitken, Joanne F. , Borre, Michael , Lose, Felicity , Srinivasan, Srilakshmi , Tilley, Wayne D. , Samaratunga, Hemamali , Goranova, Teodora , Catto, James W.F. , Pharoah, Paul D.P. , Ingles, Sue A. , Park, Jong Y. , Cybulski, Cezary , Rebbeck, Timothy R. , Zeigler-Johnson, Charnita M , Zeegers, Maurice Petrus , Spurdle, Amanda B. , Dadaev, Tokhir , Kote‐Jarai, Zsofia , Dwyer, Terry , Dörk, Thilo , Giles, Graham G , Foulkes, William D , Eeles, Rosalind A , Southey, Melissa C , Donovan, Jenny L , Muir, Kenneth , Schleutker, Johanna , Pashayan, Nora , Cannon-Albright, Lisa A , Brenner, Hermann , Cox, Angela , Samaratunga, Hemamali , Severi, Gianluca , Batra, Jyotsna , Clements, Judith

Cancer Epidemiology, Biomarkers & Prevention | April 3, 2015 | Volume: 24 | Issue: 7 | Pages: 1121-1129

10.1158/1055-9965.epi-14-0317 | PMID 25837820 Get It

Abstract Background: Genome-wide association studies have identified multiple genetic variants associated with prostate cancer risk which explain a substantial proportion of familial relative risk. These variants can be used to stratify individuals by their risk of prostate cancer. Methods: We genotyped 25 prostate cancer susceptibility loci in 40,414 individuals and derived a polygenic risk score (PRS). We estimated empirical odds ratios (OR) for prostate cancer associated with different risk strata defined by PRS and derived age-specific absolute risks of developing prostate cancer by PRS stratum and family history. Results: The prostate cancer risk for men in the top 1% of the PRS distribution was 30.6 (95% CI, 16.4–57.3) fold compared with men in the bottom 1%, and 4.2 (95% CI, 3.2–5.5) fold compared with the median risk. The absolute risk of prostate cancer by age of 85 years was 65.8% for a man with family history in the top 1% of the PRS distribution, compared with 3.7% for a man in the bottom 1%. The PRS was only weakly correlated with serum PSA level (correlation = 0.09). Conclusions: Risk profiling can identify men at substantially increased or reduced risk of prostate cancer. The effect size, measured by OR per unit PRS, was higher in men at younger ages and in men with family history of prostate cancer. Incorporating additional newly identified loci into a PRS should improve the predictive value of risk profiles. Impact: We demonstrate that the risk profiling based on SNPs can identify men at substantially increased or reduced risk that could have useful implications for targeted prevention and screening programs. Cancer Epidemiol Biomarkers Prev; 24(7); 1121–9. ©2015 AACR.
Heart rate is associated with progression of atrial fibrillation, independent of rhythm
Holmqvist, Fredrik , Kim, Sunghee , Steinberg, Benjamin A. , Reiffel, James A. , Mahaffey, Kenneth W. , Fonarow, Gregg C. , Chang, Paul, Kowey, Peter R. , Thomas, Laine , Piccini, Jonathan P. , Gersh, Bernard J. , Naccarelli, Gerald V. , Freeman, James V. , Peterson, Eric D. , Steinberg, Benjamin A

Heart | March 2, 2015 | Volume: 101 | Issue: 11 | Pages: 894-899

10.1136/heartjnl-2014-307043 | PMID 25732748 Get It

Objective Atrial fibrillation (AF) often progresses from paroxysmal or persistent to more sustained forms, but the rate and predictors of AF progression in clinical practice are not well described. Methods Using the Outcomes Registry for Better Informed Treatment of AF, we analysed the incidence and predictors of progression and tested the discrimination and calibration of the HATCH (hypertension, age, TIA/stroke, chronic obstructive pulmonary disease, heart failure) and CHA2DS2VASc scores for identifying AF progression. Results Among 6235 patients with paroxysmal or persistent AF at baseline, 1479 progressed, during follow-up (median 18 (IQR 12–24) months). These patients were older and had more comorbidities than patients who did not progress (CHADS2 2.3±1.3 vs 2.1±1.3, p<0.0001). At baseline, patients with AF progression were more often on a rate control as opposed to a rhythm control strategy (66 vs 56%, p<0.0001) and had higher heart rate (72(64–80) vs 68(60–76) bpm, p<0.0001). The strongest predictors of AF progression were AF on the baseline ECG (OR 2.30, 95% CI 1.95 to 2.73, p<0.0001) and increasing age (OR 1.16, 95% CI1.09 to 1.24, p<0.0001, per 10 increase), while patients with lower heart rate (OR 0.84, 95% CI 0.79 to 0.89, p<0.0001, per 10 decrease ≤80) were less likely to progress. There was no significant interaction between rhythm on baseline ECG and heart rate (p=0.71). The HATCH and CHA2DS2VASc scores had modest discriminatory power for AF progression (C-indices 0.55 (95% CI 0.53 to 0.58) and 0.55 (95% CI 0.52 to 0.57)). Conclusions Within 1.5 years, almost a quarter of the patients with paroxysmal or persistent AF progress to a more sustained form. Progression is strongly associated with heart rate, and age.
Digoxin, hypercalcaemia, and cardiac conduction
Gerber, Thomas C., Hayes, David L. , Reeder, Guy S., Vella, Adrian

Postgraduate Medical Journal | February 18, 2015 | Volume: 75 | Issue: 887 | Pages: 554-556

10.1136/pgmj.75.887.554 | PMID 10616693 Get It

SummaryThe cardiac effects of hypercalcaemia are usually manifest as a shortening of the QT-interval. Hypercalcaemia is infrequently associated with a clinically manifest arrhythmia. However, concomitant therapy with digoxin or underlying cardiac disease can potentiate the arrhythmogenic effects of hypercalcaemia, leading to a symptomatic rhythm disorder. We describe a symptomatic arrhythmia, which developed in a patient with hypercalcaemia secondary to squamous cell carcinoma of the bronchus. The patient was on digoxin therapy at the time. The arrhythmia did not recur after discontinuation of digoxin therapy and correction of the hypercalcaemia. Because of its effect on cardiac conduction, hypercalcaemia should be considered in the evaluation of any patient with an unexplained bradyarrhythmia. Conversely, patients with hypercalcaemia should discontinue digoxin therapy and be evaluated for the presence of rhythm disorders while receiving appropriate treatment for hypercalcaemia.
Effectiveness in acute migraine treatment
Mack, Kenneth J. , Digre, Kathleen B. , Digre, Kathleen

Neurology | January 22, 2015 | Volume: 84 | Issue: 7 | Pages: 641-642

10.1212/wnl.0000000000001273 | PMID 25609759 Get It

Phase III Open-Label Randomized Study of Eribulin Mesylate Versus Capecitabine in Patients With Locally Advanced or Metastatic Breast Cancer Previously Treated With an Anthracycline and a Taxane
Awada, Ahmad , Twelves, Chris, Yelle, Louise, Perez, Edith A. , Velikova, Galina , Olivo, Martin, He, Yi, Dutcus, Corina E. , Cortés, Javier , He, Philip , Kaufman, Peter A. , Olivo, Martin S, Awada, Ahmad , He, Philip , Cortés, J.

Journal of Clinical Oncology | January 21, 2015 | Volume: 33 | Issue: 6 | Pages: 594-601

10.1200/jco.2013.52.4892 | PMID 25605862 Get It

Purpose This phase III randomized trial (ClinicalTrials.gov identifier: NCT00337103) compared eribulin with capecitabine in patients with locally advanced or metastatic breast cancer (MBC). Patients and Methods Women with MBC who had received prior anthracycline- and taxane-based therapy were randomly assigned to receive eribulin or capecitabine as their first-, second-, or third-line chemotherapy for advanced/metastatic disease. Stratification factors were human epidermal growth factor receptor-2 (HER2) status and geographic region. Coprimary end points were overall survival (OS) and progression-free survival (PFS). Results Median OS times for eribulin (n = 554) and capecitabine (n = 548) were 15.9 and 14.5 months, respectively (hazard ratio [HR], 0.88; 95% CI, 0.77 to 1.00; P = .056). Median PFS times for eribulin and capecitabine were 4.1 and 4.2 months, respectively (HR, 1.08; 95% CI, 0.93 to 1.25; P = .30). Objective response rates were 11.0% for eribulin and 11.5% for capecitabine. Global health status and overall quality-of-life scores over time were similar in the treatment arms. Both treatments had manageable safety profiles consistent with their known adverse effects; most adverse events were grade 1 or 2. Conclusion In this phase III study, eribulin was not shown to be superior to capecitabine with regard to OS or PFS.
Rarity of the Alzheimer Disease–ProtectiveAPPA673T Variant in the United States
Wang, Li-San, Graham, Robert , Crane, Paul K. , Kunkle, Brian W. , Cruchaga, Carlos , Murcia, Josue D. Gonzalez , Cannon‐Albright, Lisa , Baldwin, Clinton T., Blennow, Kaj , Kukull, Walter A. , Faber, Kelley M., Schupf, Nicole , Norton, Maria C. , Tschanz, JoAnn T. , Munger, Ronald G. , Corcoran, Christopher, Lin, Chiao‐Feng , Dombroski, Beth A. , Cantwell, Laura B., Partch, Amanda, Håkonarson, Håkon , George‐Hyslop, Peter St , Goate, Alison , Foroud, Tatiana, Carney, Regina M., Larson, Eric B., Behrens, Timothy W. , Kauwe, John, Haines, Jonathan L. , Farrer, Lindsay A. , Pericak‐Vance, Margaret A. , Mayeux, Richard , Schellenberg, Gerard D., Albert, Marilyn S. , Albin, Roger L. , Apostolova, Liana G. , Arnold, Steven E. , Barber, Robert W., Barmada, M. Michael , Beach, Thomas G. , Beecham, Gary W. , Beekly, Duane, Bennett, David A. , Bigio, Eileen H. , Bird, Thomas D., Blacker, Deborah , Bowen, James D. , Boxer, Adam, Buxbaum, Joseph D. , Cairns, Nigel J. , Cao, Chuanhai , Carlson, Chris , Carroll, Steven L. , Chui, Helena C., Clark, David G., Cribbs, David H. , DeCarli, Charles , DeKosky, Steven T. , Demirci, F. Yesim , Dick, Malcolm, Duara, Ranjan , Ertekin‐Taner, Nilüfer , Fallon, Kenneth B., Farlow, Martin R. , Ferris, Steven H. , Frosch, Matthew P. , Gearing, Marla , Geschwind, Daniel H. , Gilbert, John R., Glass, Jonathan D. , Graff‐Radford, Neill R. , Growdon, John H., Hamilton, Ronald L. , Hamilton‐Nelson, Kara L., Harrell, Lindy E., Hulette, Christine M., Jicha, Gregory A. , Jin, Lee‐Way, Jun, Gyungah , Kamboh, M. Ilyas , Karydas, Anna, Koo, Edward H. , Kowall, Neil W. , Kramer, Joel H. , Kramer, Patricia, LaFerla, Frank M. , Leverenz, James B. , Lieberman, Andrew P. , Lunetta, Kathryn L. , Lyketsos, Constantine G. , Mack, Wendy J. , Marson, Daniel , Martin, Eden R. , Martiniuk, Frank , Mash, Deborah C. , Masliah, Eliezer , McCormick, Wayne C., McKee, Ann C. , Miller, Carol A., Miller, Joshua W., Montine, Thomas J. , Morris, John C. , Murrell, Jill R. , Olichney, John , Parisi, Joseph E., Peskind, Elaine R. , Petersen, Ronald , Pierce, Aimee, Poon, Wayne W. , Raj, Ashok , Raskind, Murray A. , Reiman, Eric M. , Reisberg, ‌Barry , Reitz, Christiane , Ringman, John M. , Rosen, Howard J., Rosenberg, Roger N., Sano, Mary , Saykin, Andrew J. , Schneider, Lon S. , Smith, Amanda , Sonnen, Joshua A. , Stern, Robert A. , Tanzi, Rudolph E. , Thornton‐Wells, Tricia A., Trojanowski, John Q. , Troncoso, Juan C. , Tsuang, Debby W. , Vinters, Harry V. , Vonsattel, Jean Paul, Weıntraub, Sandra , Wishnek, Sarah, Woltjer, Randall L. , Wright, Clinton B., Younkin, Steven G., Yu, Chang‐En , Yu, Lei , DeCarli, Charles , Wang, Li-San, Naj, Adam Christian , Cruchaga, Carlos , Zetterberg, Henrik , Rogaeva, Ekaterina A. , Valladares, Otto , Green, Robert C. , Barnes, Lisa L. , Becker, James T. , Boeve, Bradley F. , Burke, James R. , Chui, Helena C. , Crocco, Elizabeth , Dickson, Dennis W. , Duara, Ranjan , Galasko, Douglas , Ganguli, Mary , Ghetti, Bernardino , Hamilton‐Nelson, Kara L. , Head, Elizabeth , Honig, Lawrence S. , Hyman, Bradley T. , Jarvik, Gail P. , Kaye, Jeffrey , Kim, Ronald , Lah, James J. , Levey, Allan I. , Li, Ge , López, Oscar L. , McCurry, Susan M. , McDavid, Andrew , Mesulam, Marsel M. , Miller, Bruce L. , Perry, William , Potter, Huntington , Quinn, Joseph F. , Roberson, Erik D. , Schneider, Julie A. , Seeley, William W. , Spina, Salvatore , Deerlin, Vivianna M. Van , Eldik, Linda J. Van , Vardarajan, Badri Narayan , Welsh-Bohmer, Kathleen Anne , Williamson, Jennifer , Bennett, David A. , Hakonarson, Hakon , Saykin, Andrew J , Leverenz, James B , Cannon-Albright, Lisa A , Stern, Robert A , Morris, John C , Goate, Alison M , Jicha, Gregory A , Sonnen, Joshua

JAMA Neurology | December 22, 2014 | Volume: 72 | Issue: 2 | Pages: 209

10.1001/jamaneurol.2014.2157 | PMID 25531812 Get It

Predicting Risk of Endovascular Device Infection in Patients With Staphylococcus aureus Bacteremia (PREDICT-SAB)
Sohail, M. Rizwan , Palraj, Bharath Raj, Uslan, Daniel Z. , Al‐Saffar, Farah , Friedman, Paul A. , Hayes, David L. , Lohse, Christine M. , Wilson, Walter R. , Steckelberg, James M., Palraj, Raj , Khalid, Sana , Al-Saffar, Farah, Khalid, Sana , Baddour, Larry M. , Sohail, M Rizwan , Palraj, Raj

Circulation: Arrhythmia and Electrophysiology | December 12, 2014 | Volume: 8 | Issue: 1 | Pages: 137-144

10.1161/circep.114.002199 | PMID 25504648 Get It

Background— Prompt recognition of underlying cardiovascular implantable electronic device (CIED) infection in patients presenting with Staphylococcus aureus bacteremia (SAB) is critical for optimal management of these cases. The goal of this study was to identify clinical predictors of CIED infection in patients presenting with SAB and no signs of pocket infection. Methods and Results— All cases of SAB in CIED recipients at Mayo Clinic from 2001 to 2011 were retrospectively reviewed. We identified 131 patients with CIED who presented with SAB and had no clinical signs of device pocket infection. Forty-five (34%) of these patients had underlying CIED infection based on clinical or echocardiographic criteria. The presence of a permanent pacemaker rather than an implantable cardioverter-defibrillator (odds ratio, 3.90; 95% confidence interval, 1.65–9.23; P =0.002), >1 device-related procedure (odds ratio, 3.30; 95% confidence interval, 1.23–8.86; P =0.018), and duration of SAB ≥4 days (odds ratio, 5.54; 95% confidence interval, 3.32–13.23; P <0.001) were independently associated with an increased risk of CIED infection in a multivariable model. The area under the receiver operating characteristics curve for the multivariable model was 0.79, indicating a good discriminatory capacity to distinguish SAB patients with and without CIED infection. Conclusions— Among patients presenting with SAB and no signs of pocket infection, the risk of underlying CIED infection can be calculated based on the type of device, number of device-related procedures, and duration of SAB. We propose that patients without any of these high-risk features have a low risk of underlying CIED infection and may be monitored closely without immediate device extraction. Prospective studies are needed to validate this risk prediction model.
Hypoxia-Induced SUMOylation of E3 Ligase HAF Determines Specific Activation of HIF2 in Clear-Cell Renal Cell Carcinoma
Koh, Mei Yee , Nguyen, Vuvi, Lemos, Robert, Darnay, Bryant G., Kiriakova, Galina M., Abdelmelek, Mena, Ho, Thai H. , Monzon, Federico A. , Powis, Garth , Karam, Jose Antonio , Jonasch, Eric W. , Ho, Thai , Koh, Mei Yee

Cancer Research | November 24, 2014 | Volume: 75 | Issue: 2 | Pages: 316-329

10.1158/0008-5472.can-13-2190 | PMID 25421578 Get It

Abstract Clear-cell renal cell cancer (CRCC) is initiated typically by loss of the tumor-suppressor VHL, driving constitutive activation of hypoxia-inducible factor-1 (HIF1) and HIF2. However, whereas HIF1 has a tumor-suppressor role, HIF2 plays a distinct role in driving CRCC. In this study, we show that the HIF1α E3 ligase hypoxia-associated factor (HAF) complexes with HIF2α at DNA to promote HIF2-dependent transcription through a mechanism relying upon HAF SUMOylation. HAF SUMOylation was induced by hypoxia, whereas HAF-mediated HIF1α degradation was SUMOylation independent. HAF overexpression in mice increased CRCC growth and metastasis. Clinically, HAF overexpression was associated with poor prognosis. Taken together, our results show that HAF is a specific mediator of HIF2 activation that is critical for CRCC development and morbidity. Cancer Res; 75(2); 316–29. ©2014 AACR.