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4844 citation(s) found for "Yu, Eric".

Pearls & Oy-sters: HyperCKemia with limb-girdle weakness
Ghosh, Partha S. , Lahoria, Rajat , Milone, Margherita , Sorenson, Eric J.

Mayo Clinic

Neurology | December 8, 2014 | Volume: 83 | Issue: 24 | Pages: No page available

10.1212/wnl.0000000000001071 | PMID 25488998 Get It

Establishment of the Cancer Prevention Study II Nutrition Cohort Colorectal Tissue Repository
Deka, Anusila , Cicek, Mine , Farris, Alton B. , Gaudet, Mia M. , Jacobs, Eric J. , Newton, Christina C. , Patel, Alpa V. , Thibodeau, Stephen N. , Tillmans, Lori S. , Gapstur, Susan M. , Tillmans, Lori, Campbell, Peter T. , Briggs, Peter , Teras, Lauren R. , Farris, Alton B

Mayo Clinic

Cancer Epidemiology, Biomarkers & Prevention | December 3, 2014 | Volume: 23 | Issue: 12 | Pages: 2694-2702

10.1158/1055-9965.epi-14-0541 | PMID 25472679 Get It

Abstract Background: To better understand colorectal cancer etiology and prognosis, archived surgical tissues were collected from Cancer Prevention Study II (CPS-II) Nutrition Cohort participants who were diagnosed with colorectal cancer. Herein, the methodology for this collection is described to help inform other efforts to collect tissues. Methods: The main components to accruing tissue were: (i) obtaining consent from participants or next-of-kin; (ii) contacting hospitals to request materials; and (iii) pathology review and laboratory processing. Results: In CPS-II, we identified 3,643 participants diagnosed with colorectal cancer between 1992/1993 and 2009. Of these, tissue could not be sought from cases verified through state cancer registry linkage (N = 1,622), because of insufficient information on tissue location. We sought tissue from the 2,021 cases verified using medical records, and received tissue from 882. When hospitals were contacted within 10 years of diagnosis, we received 87% of tissue materials; beyond that 10-year mark, we received 32%. Compared with the 2,761 colorectal cancer cases without tissue, the 882 cases with tissue were more likely to be alive, diagnosed more recently during follow-up, and had less-advanced staged disease. Cases with and without tissues were similar with respect to age at diagnosis, smoking, body mass index, physical activity, and other epidemiologic factors. Conclusions: Some of the most important elements in forming a tissue repository included having the cases' hospital contact and surgical accession information as well as contacting patients/next-of-kin and hospitals within 10 years of surgery. Impact: This tissue repository will serve as an important resource for colorectal cancer studies. See all the articles in this CEBP Focus section, “Biomarkers, Biospecimens, and New Technologies in Molecular Epidemiology.” Cancer Epidemiol Biomarkers Prev; 23(12); 2694–702. ©2014 AACR.
Bioinformatics for Clinical Next Generation Sequencing
Oliver, Gavin R. , Hart, Steven N. , Klee, Eric W. , Hart, Steven N

Mayo Clinic

Clinical Chemistry | December 2, 2014 | Volume: 61 | Issue: 1 | Pages: 124-135

10.1373/clinchem.2014.224360 | PMID 25451870 Get It

Abstract BACKGROUND Next generation sequencing (NGS)-based assays continue to redefine the field of genetic testing. Owing to the complexity of the data, bioinformatics has become a necessary component in any laboratory implementing a clinical NGS test. CONTENT The computational components of an NGS-based work flow can be conceptualized as primary, secondary, and tertiary analytics. Each of these components addresses a necessary step in the transformation of raw data into clinically actionable knowledge. Understanding the basic concepts of these analysis steps is important in assessing and addressing the informatics needs of a molecular diagnostics laboratory. Equally critical is a familiarity with the regulatory requirements addressing the bioinformatics analyses. These and other topics are covered in this review article. SUMMARY Bioinformatics has become an important component in clinical laboratories generating, analyzing, maintaining, and interpreting data from molecular genetics testing. Given the rapid adoption of NGS-based clinical testing, service providers must develop informatics work flows that adhere to the rigor of clinical laboratory standards, yet are flexible to changes as the chemistry and software for analyzing sequencing data mature.
Identification of Hospital Outliers in Bleeding Complications After Percutaneous Coronary Intervention
Hess, Connie N. , McCoy, Lisa A., Spertus, John A. , Krone, Ronald J. , Weaver, W. Douglas, Peterson, Eric D., Rao, Sunil V. , Neely, Megan L, Neely, Megan Lee , Singh, Mandeep , Peterson, Eric D. , Spertus, John A

Mayo Clinic

Circulation: Cardiovascular Quality and Outcomes | November 26, 2014 | Volume: 8 | Issue: 1 | Pages: 15-22

10.1161/circoutcomes.113.000749 | PMID 25424242 Get It

Background— Post-percutaneous coronary intervention (PCI) bleeding complications are an important quality metric. We sought to characterize site-level variation in post-PCI bleeding and explore the influence of patient and procedural factors on hospital bleeding performance. Methods and Results— Hospital-level bleeding performance was compared pre- and postadjustment using the newly revised CathPCI Registry ® bleeding risk model (c-index, 0.77) among 1292 National Cardiovascular Data Registry ® hospitals performing >50 PCIs from 7/2009 to 9/2012 (n=1 984 998 procedures). Using random effects models, outlier sites were identified based on 95% confidence intervals around the hospital’s random intercept. Bleeding 72 hours post-PCI was defined as: arterial access site, retroperitoneal, gastrointestinal, or genitourinary bleeding; intracranial hemorrhage; cardiac tamponade; nonbypass surgery–related blood transfusion with preprocedure hemoglobin ≥8 g/dL; or absolute decrease in hemoglobin value ≥3 g/dL with preprocedure hemoglobin ≤16 g/dL. Overall, the median unadjusted post-PCI bleeding rate was 5.2% and varied among hospitals from 2.6% to 10.4% (5th, 95th percentiles). Center-level bleeding variation persisted after case-mix adjustment (2.8%–9.5%; 5th, 95th percentiles). Although hospitals’ observed and risk-adjusted bleeding ranks were correlated (Spearman ρ: 0.88), individual rankings shifted after risk-adjustment (median Δ rank order: ±91.5; interquartile range: 37.0, 185.5). Outlier classification changed postadjustment for 29.3%, 16.1%, and 26.5% of low-, non-, and high-outlier sites, respectively. Hospital use of bleeding avoidance strategies (bivalirudin, radial access, or vascular closure device) was associated with risk-adjusted bleeding rates. Conclusions— Despite adjustment for patient case-mix, there is wide variation in rates of hospital PCI-related bleeding in the United States. Opportunities may exist for best performers to share practices with other sites.
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

Mayo Clinic

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.
Interventional pulmonology: The tipping point
Maldonado, Fabien , Edell, Eric S. , Barron, Patrick J., Yung, Rex

Mayo Clinic

Respirology | November 13, 2014 | Volume: 20 | Issue: 1 | Pages: 11-12

10.1111/resp.12431 | PMID 25393062 Get It

Individual Patient Data Analysis of Progression-Free Survival Versus Overall Survival As a First-Line End Point for Metastatic Colorectal Cancer in Modern Randomized Trials: Findings From the Analysis and Research in Cancers of the Digestive System Databas
Shi, Qian , Gramont, Aimery de , Grothey, Axel, Zalcberg, John , Chibaudel, Benoist , Seymour, Michel , Adams, Richard , Saltz, Leonard B. , Goldberg, Richard M. , Punt, Cornelis J.A. , Douillard, Jean‐Yves , Hoff, Paulo M. , Hecht, J. Randolph, Hurwitz, Herbert I. , Díaz‐Rubio, Eduardo , Porschen, Rainer, Fuchs, Charles S. , Souglakos, John , Falcone, Alfredo , Tournigand, Christophe , Kabbinavar, Fairooz F. , Heinemann, Volker , Bokemeyer, Carsten , de Gramont, Aimery, Schmoll, Hans‐Joachim , Seymour, Matthew T, Saltz, Leonard, Hecht, Joel Randolph, Hurwitz, Herbert, Díaz-Rubio, Eduardo, Tebbutt, Niall C. , van Cutsem, Eric, Buyse, Marc , Cutsem, Eric Van , Sargent, Daniel J. , Saltz, Leonard , Shi, Qian , Falcone, Alfredo , Seymour, Matthew T , Zalcberg, John , Adams, Richard , Chibaudel, Benoist

Mayo Clinic

Journal of Clinical Oncology | November 11, 2014 | Volume: 33 | Issue: 1 | Pages: 22-28

10.1200/jco.2014.56.5887 | PMID 25385741 Get It

PurposeProgression-free survival (PFS) has previously been established as a surrogate for overall survival (OS) for first-line metastatic colorectal cancer (mCRC). Because mCRC treatment has advanced in the last decade with extended OS, this surrogacy requires re-examination.MethodsIndividual patient data from 16,762 patients were available from 22 first-line mCRC studies conducted from 1997 to 2006; 12 of those studies tested antiangiogenic and/or anti–epidermal growth factor receptor agents. The relationship between PFS (first event of progression or death) and OS was evaluated by using R2statistics (the closer the value is to 1, the stronger the correlation) from weighted least squares regression of trial-specific hazard ratios estimated by using Cox and Copula models.ResultsForty-four percent of patients received a regimen that included biologic agents. Median first-line PFS was 8.3 months, and median OS was 18.2 months. The correlation between PFS and OS was modest (R2, 0.45 to 0.69). Analyses limited to trials that tested treatments with biologic agents, nonstrategy trials, or superiority trials did not improve surrogacy.ConclusionIn modern mCRC trials, in which survival after the first progression exceeds time to first progression, a positive but modest correlation was observed between OS and PFS at both the patient and trial levels. This finding demonstrates the substantial variability in OS introduced by the number of lines of therapy and types of effective subsequent treatments and the associated challenge to the use of OS as an end point to assess the benefit attributable to a single line of therapy. PFS remains an appropriate primary end point for first-line mCRC trials to detect the direct treatment effect of new agents.
Time Trends in Incidence, Clinical Features, and Cardiovascular Disease in Ankylosing Spondylitis Over Three Decades: A Population‐Based Study
Wright, Kerry , Crowson, Cynthia S. , Michet, Clement J. , Matteson, Eric L. , Wright, Kerry A

Mayo Clinic

Arthritis Care & Research | November 10, 2014 | Volume: 67 | Issue: 6 | Pages: 836-841

10.1002/acr.22512 | PMID 25384671 Get It

ObjectiveTo determine trends in the incidence and clinical presentation of ankylosing spondylitis (AS), the incidence of cardiovascular disease (CVD), and cardiovascular (CV) risk factors among patients with AS and compare the observed incidence of CVD with that predicted by the Framingham Risk Score (FRS).MethodsA population‐based inception cohort of residents of Olmsted County, Minnesota age ≥18 years who fulfilled Modified New York Criteria for AS in 1980–2009 was assembled. Clinical features at presentation were recorded. Age‐ and sex‐adjusted incidence rates and survival were estimated. Incident CVD and CV risk factors were identified. The 10‐year CVD risk was calculated using the FRS. Standardized incidence ratios (ratios of observed CVD in AS to that predicted by the FRS) were calculated.ResultsEighty‐six patients were diagnosed with AS over the study period with an age‐ and sex‐adjusted incidence of 3.1 per 100,000 (95% confidence interval [95% CI] 2.5–3.8). The mean age at diagnosis was 35 years (range 19–69 years). Inflammatory back pain, seen in 90% of patients, was the most common presenting manifestation. The 10‐year mean ± SD cumulative incidence of CVD was 15.8% ± 6.1%, three times higher than the predicted events based on the FRS (standardized incidence ratio 3.01, 95% CI 1.35–6.69; P = 0.007). Overall survival was similar to the general population.ConclusionAS occurs in approximately 3 persons per 100,000 per year. Clinical features, extraarticular manifestations, and interval from symptom onset to diagnosis have remained constant in this population over the study period. The CVD risk in these patients is higher than expected and underestimated by the FRS.
Genetic Markers Associated With Plasma Protein C Level in African Americans: The Atherosclerosis Risk in Communities (ARIC) Study
Munir, Muhammad S., Weng, Lu‐Chen , Tang, Weihong , Basu, Saonli , Pankow, James S. , Matijevic, Nena, Cushman, Mary , Boerwinkle, Eric , Folsom, Aaron R. , Munir, M Shahzeb, Pankow, James S , Tang, Weihong

Mayo Clinic

Genetic Epidemiology | November 5, 2014 | Volume: 38 | Issue: 8 | Pages: 709-713

10.1002/gepi.21868 | PMID 25376901 Get It