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2413 citation(s) found for "Yu, Jason".

Hepatocellular Carcinoma Detection by Plasma Methylated DNA: Discovery, Phase I Pilot, and Phase II Clinical Validation
Dukek, Brian A. , Kanipakam, Reddappa V.S.R., Ghoz, Hassan , Yab, Tracy C. , Giama, Nasra H., Onyirioha, Kristeen, Abdallah, Mohamed A., Burger, Kelli N. , Slettedahl, Seth W. , Smyrk, Thomas C. , Lewis, Jason T., Giakoumopoulos, Maria , Allawi, Hatim T. , Lidgard, Graham P. , Roberts, Lewis R. , Ahlquist, David A. , Kisiel, John B. , V S R Kanipakam, Reddappa, Ghoz, Hassan M, Berger, Calise K. , Foote, Patrick H. , Mahoney, Douglas W. , Roberts, Lewis R , Slettedahl, Seth W , Taylor, William R. , Abdallah, Mohamed A., Lewis, Jason T.

Hepatology | August 31, 2018 | Volume: 69 | Issue: 3 | Pages: 1180-1192

10.1002/hep.30244 | PMID 30168613 Get It

Early detection improves hepatocellular carcinoma (HCC) outcomes, but better noninvasive surveillance tools are needed. We aimed to identify and validate methylated DNA markers (MDMs) for HCC detection. Reduced representation bisulfite sequencing was performed on DNA extracted from 18 HCC and 35 control tissues. Candidate MDMs were confirmed by quantitative methylation‐specific PCR in DNA from independent tissues (74 HCC, 29 controls). A phase I plasma pilot incorporated quantitative allele‐specific real‐time target and signal amplification assays on independent plasma‐extracted DNA from 21 HCC cases and 30 controls with cirrhosis. A phase II plasma study was then performed in 95 HCC cases, 51 controls with cirrhosis, and 98 healthy controls using target enrichment long‐probe quantitative amplified signal (TELQAS) assays. Recursive partitioning identified best MDM combinations. The entire MDM panel was statistically cross‐validated by randomly splitting the data 2:1 for training and testing. Random forest (rForest) regression models performed on the training set predicted disease status in the testing set; median areas under the receiver operating characteristics curve (AUCs; and 95% confidence interval [CI]) were reported after 500 iterations. In phase II, a six‐marker MDM panel (homeobox A1 [HOXA1], empty spiracles homeobox 1 [EMX1], AK055957 , endothelin‐converting enzyme 1 [ECE1], phosphofructokinase [PFKP], and C‐type lectin domain containing 11A [CLEC11A]) normalized by beta‐1,3‐galactosyltransferase 6 (B3GALT6) level yielded a best‐fit AUC of 0.96 (95% CI, 0.93‐0.99) with HCC sensitivity of 95% (88%‐98%) at specificity of 92% (86%‐96%). The panel detected 3 of 4 (75%) stage 0, 39 of 42 (93%) stage A, 13 of 14 (93%) stage B, 28 of 28 (100%) stage C, and 7 of 7 (100%) stage D HCCs. The AUC value for alpha‐fetoprotein (AFP) was 0.80 (0.74‐0.87) compared to 0.94 (0.9‐0.97) for the cross‐validated MDM panel (P < 0.0001). Conclusion : MDMs identified in this study proved to accurately detect HCC by plasma testing. Further optimization and clinical testing of this promising approach are indicated.
A C6orf10/LOC101929163 locus is associated with age of onset in C9orf72 carriers
Zhang, Ming , Ferrari, Raffaele, Tartaglia, Maria Carmela , Keith, Julia , Surace, Ezequiel , Wolf, Uri, Sato, Christine , Grinberg, Mark, Liang, Yan , Xi, Zhengrui, Dupont, Kyle, McGoldrick, Philip, Weichert, Anna , McKeever, Paul M. , Schneider, Raphaël , McCorkindale, Michael D, Manzoni, Claudia , Rademakers, Rosa , Graff, Caroline , Parisi, Joseph E., Petersen, Ronald C., Miller, Bruce L. , Rooij, Jeroen van , Pijnenburg, Yolande A.L. , Zee, Julie van der, Broeckhoven, Christine Van , Ber, Isabelle Le , Deerlin, Vivianna Van, Suh, EunRan , Rohrer, Jonathan D. , Mead, Simon , Öijerstedt, Linn , Pickering‐Brown, Stuart , Rollinson, Sara, Rossi, Giacomina , Tagliavini, Fabrizio , Brooks, William S. , Dobson‐Stone, Carol , Halliday, Glenda M. , Hodges, John R. , Piguet, Olivier , Binetti, Giuliano , Benussi, Luisa , Ghidoni, Roberta , Sorbi, Sandro , Bruni, Amalia C. , Galimberti, Daniela , Rainero, Innocenzo , Rubino, Elisa , Lleó, Alberto, Ruiz, Agustı́n , Hernández, Isabel, Pástor, Pau , Díez-Fairén, Mónica , Borroni, Barbara , Pasquier, Florence , Deramecourt, Vincent , Lebouvier, Thibaud , Perneczky, Robert , Diehl‐Schmid, Janine , Huey, Edward D. , Mayeux, Richard , Nalls, Michael A., Hernandez, Dena G., Singleton, Andrew B., Momeni, Parastoo, Zeng, Zhen , Hardy, John , Zinman, Lorne , Nalls, Michael A., Ramasamy, Adaikalavan , Hodges, John R. , Bartley, Lauren, Hernández, Isabel, Boada, Merçé , Padovani, Alessandro , Cairns, Nigel J. , Serpente, María , Scarpini, Elio, Blesa, Rafael , ouml, Maria Landqvist Wald, Nilsson, Karin , Mackenzie, Ian R. , Hsiung, Ging‐Yuek Robin , Attems, Johannes , Pietrini, Pietro , Baborie, Atik, Jaros, Evelyn, Tierney, Michael C, Razquín, Cristina , Ortega‐Cubero, Sara , Alonso, Elena, Alexopoulos, Panagiotis , Kurz, Alexander , Pinessi, Lorenzo , Rogaeva, Ekaterina, Giaccone, Giorgio , Rowe, James B. , Uphill, James, Collinge, John, Danek, Adrian , Deerlin, Vivianna M Van, Grossman, Murray, Trojanowski, John Q. , Leber, Isabelle, Hannequin, Didier , Golfier, Véronique, Vercelletto, Martine, Brice, Alexis , Nacmias, Benedetta, Bagnoli, Silvia , Hjermind, Lena E. , Riemenschneider, Matthias, Mayhaus, Manuel, Ibach, Bernd, Gasparoni, Gilles, Pichler, Sabrina, Fox, Nick C. , Warren, Jason D. , Spillantini, Maria Grazia , Rizzu, Patrizia , Heutink, Peter , Snowden, Julie S. , Richardson, Anna , Maletta, Raffaele , Frangipane, Francesca, Bernardi, Livia , Conidi, Maria Elena, Smirne, Nicoletta , Rademakers, Rosa, Baker, Matt , Petersen, Ronald , Knopman, David, Josephs, Keith A. , Miller, Bruce L., Karydas, Anna M., Rosen, Howard J., Scheltens, Philip , Logroscino, Giancarlo , Capozzo, Rosa , Novelli, Valeria , Franceschi, M. , Postiglione, Alfredo, Milan, Graziella , Sorrentino, Paolo, Kristiansen, Mark, Chiang, Huei-Hsin, Rollin, Adeline, Deramecourt, Vincent, Kapogiannis, Dimitrios , Waldö, Maria Landqvist , Halliday, Glenda , Logroscino, Giancarlo , Rowe, James B , Hsiung, Gink-Yuek , Miller, Bruce L , Hardy, John , Scheltens, Philip , Rohrer, Jonathan D , Fox, Nick C , Padovani, Alessandro , Ruiz, Agustín , Pastor, Pau , Boada, Merce , Tartaglia, Maria Carmela , Pasquier, Florence , Brooks, William , McGoldrick, Philip , McCorkindale, Michael , Dickson, Dennis W. , Boeve, Bradley F. , Seeley, William W. , Swieten, John C. van , Zee, Julie van der , Deerlin, Vivianna M. Van , Nacmias, Benedetta , Scarpini, Elio , Clarimón, Jordi , Lleó, Alberto , Grafman, Jordan Henry , Robertson, Janice , Rogaeva, Ekaterina A. , Kwok, John B. , Schofield, Peter R. , Thompson, Elizabeth A. , Cruchaga, Carlos , Forloni, Gianluigi , Albani, Diego , Fenoglio, Chiara , Nilsson, Christer, Mann, David , Morris, Christopher M. , Griffiths, Timothy David , McKeith, Ian G. , Thomas, Alan , Wassermann, Eric M. , Tierney, Michael C, George‐Hyslop, Peter St , Schlachetzki, Johannes C. M. , Cappa, Stefano F. , Piaceri, Irene , Nielsen, Jørgen Erik , Riemenschneider, Markus J. , Gu, Wei , Rossor, Martin N. , Morris, Huw R. , Gerhard, Alexander , Cupidi, Chiara , Anfossi, Maria , Gallo, Maura , Dopper, Elise G.P. , Seelaar, Harro , Puca, Annibale Alessandro , Franceschi, Massimo, Chiang, Huei‐Hsin, Ferrucci, Luigi , Brice, Alexis , Rainero, Innocenzo , Galimberti, Daniela , Pijnenburg, Yolande A L , Lebouvier, Thibaud , Graff, Caroline , Borroni, Barbara

Brain | August 31, 2018 | Volume: 141 | Issue: 10 | Pages: 2895-2907

10.1093/brain/awy238 | PMID 30252044 Get It

Core‐binding factor acute myeloid leukemia with t(8;21): Risk factors and a novel scoring system (I‐CBFit)
Üstün, Celalettin , Pullarkat, Sheeja T. , Yeung, Cecilia C.S. , Broesby‐Olsen, Sigurd , Ohgami, Robert S. , Kim, Young , Vestergaard, Hanne , Chen, Dong , Kluin, Philip M., Dolan, Michelle, Mrózek, Krzysztof , Czuchlewski, David R., Horny, Hans‐Peter, George, Tracy I. , Kristensen, Thomas Kielsgaard , Ku, Nam K., Yi, Cecilia Arana , Møller, Michael , Marcucci, Guido , Hilberink, Jacobien R. , Pullarkat, Vinod , Shanley, Ryan , Kohlschmidt, Jessica, Coulombe, Janie , Salhotra, Amandeep , Soma, Lori , Cho, Christina , Hoermann, Gregor , Nakamura, Ryo , Deeg, Joachim, Bloomfield, Clara D. , Weisdorf, Daniel J. , Litzow, Mark R. , Valent, Peter , Huls, Gerwin , Yeung, Cecilia , Baughn, Linda, Chen, Dong , Møller, Michael Boe , Weisdorf, Dan , George, Tracy I , Arana Yi, Cecilia , Valent, Peter , Morgan, Elizabeth A. , Moodie, Erica E. M. , Sperr, Wolfgang R. , Baughn, Linda B. , Schiefer, Ana-Iris , Linden, Michael A. , Akin, Cem , Gotlib, Jason , Hornick, Jason L. , Nakamura, Ryo, Perales, Miguel‐Angel , Borthakur, Gautam

Cancer Medicine | August 17, 2018 | Volume: 7 | Issue: 9 | Pages: 4447-4455

10.1002/cam4.1733 | PMID 30117318 Get It

AbstractBackgroundAlthough the prognosis of core‐binding factor (CBF) acute myeloid leukemia (AML) is better than other subtypes of AML, 30% of patients still relapse and may require allogeneic hematopoietic cell transplantation (alloHCT). However, there is no validated widely accepted scoring system to predict patient subsets with higher risk of relapse.MethodsEleven centers in the US and Europe evaluated 247 patients with t(8;21)(q22;q22).ResultsComplete remission (CR) rate was high (92.7%), yet relapse occurred in 27.1% of patients. A total of 24.7% of patients received alloHCT. The median disease‐free (DFS) and overall (OS) survival were 20.8 and 31.2 months, respectively. Age, KIT D816V mutated (11.3%) or nontested (36.4%) compared with KIT D816V wild type (52.5%), high white blood cell counts (WBC), and pseudodiploidy compared with hyper‐ or hypodiploidy were included in a scoring system (named I‐CBFit). DFS rate at 2 years was 76% for patients with a low‐risk I‐CBFit score compared with 36% for those with a high‐risk I‐CBFit score (P < 0.0001). Low‐ vs high‐risk OS at 2 years was 89% vs 51% (P < 0.0001).ConclusionsI‐CBFit composed of readily available risk factors can be useful to tailor the therapy of patients, especially for whom alloHCT is not need in CR1 (ie, patients with a low‐risk I‐CBFit score).
Neuroimaging of Early Life Epilepsy
Coryell, Jason , Gaillard, William D. , Shellhaas, Renée A. , Wusthoff, Courtney J. , Keator, Cynthia, Sullivan, Joseph , Loddenkemper, Tobias , Chu, Catherine J. , Massey, Shavonne L. , Saneto, Russel P., Berg, Anne T. , Wirrell, Elaine C., Shellhaas, Renée A , Gaillard, William D , Loddenkemper, Tobias , Berg, Anne T , Chu, Catherine J , Coryell, Jason , Wusthoff, Courtney J , Grinspan, Zachary M. , Wirrell, Elaine , Knupp, Kelly G. , Patel, Anup D. , Novotny, Edward J.

Pediatrics | August 8, 2018 | Volume: 142 | Issue: 3 | Pages: No page available

10.1542/peds.2018-0672 | PMID 30089657 Get It

OBJECTIVES: We assessed the adherence to neuroimaging guidelines and the diagnostically relevant yield of neuroimaging in newly presenting early life epilepsy (ELE). METHODS: There were 775 children with a new diagnosis of epilepsy (&lt;3 years old at onset) who were recruited through the ELE study at 17 US pediatric epilepsy centers (2012–2015) and managed prospectively for 1 year. The data were analyzed to assess the proportion of children who underwent neuroimaging, the type of neuroimaging, and abnormalities. RESULTS: Of 725 children (93.5%) with neuroimaging, 714 had an MRI (87% with seizure protocols) and 11 had computed tomography or ultrasound only. Etiologically relevant abnormalities were present in 290 individuals (40%) and included: an acquired injury in 97 (13.4%), malformations of cortical development in 56 (7.7%), and other diffuse disorders of brain development in 51 (7.0%). Neuroimaging was abnormal in 160 of 262 (61%) children with abnormal development at diagnosis versus 113 of 463 (24%) children with typical development. Neuroimaging abnormalities were most common in association with focal seizure semiology (40%), spasms (47%), or unclear semiology (42%). In children without spasms or focal semiology with typical development, 29 of 185 (16%) had imaging abnormalities. Pathogenic genetic variants were identified in 53 of 121 (44%) children with abnormal neuroimaging in whom genetic testing was performed. CONCLUSIONS: Structural abnormalities occur commonly in ELE, and adherence to neuroimaging guidelines is high at US pediatric epilepsy centers. These data support the universal adoption of imaging guidelines because the yield is substantially high, even in the lowest risk group.
Reduction of Hip Arthroscopy Post-Operative Pain Using Ultrasound-guided Fascia-Iliaca Block: A Prospective Randomized Control Trial
Glomset, John Larson, Kim, Eugene J. , Tokish, John M. , Renfro, Suzanne D., Seckel, Tyler B., Adams, Kyle J. , Folk, Jason, Kim, Eugene J.

Orthopaedic Journal of Sports Medicine | July 27, 2018 | Volume: 6 | Issue: 7_suppl4 | Pages: No page available

10.1177/2325967118s00149 Get It

Objectives: Ultrasound guided fascia-Iliaca blocks have been used for pain control following hip arthroscopy. There is little evidence regarding their effectiveness in comparison to other pain control modalities in hip arthroscopy patients. To compare efficacy of ultrasound guided fascia iliac block with intra-articular ropivacaine in controlling pain after hip arthroscopy. Methods: Between 2015 and 2017, 95 patients undergoing hip arthroscopy were randomly assigned to 2 groups. The first group received an ultrasound-guided fascia-iliaca block with 50-60mLs of 0.35% ropivacaine. The second group received intra-articular injection of 20 mL of 0.5% ropivacaine at the completion of the surgical case. Primary outcomes were post-operative pain scores in the recovery room, at PACU discharge, at 2 weeks, 6 weeks, and 3 months. Secondary outcomes included intraoperative and PACU narcotic usage (converted to morphine equivalent use) as well as readmission rates, PACU recovery time and postoperative nausea and vomiting (PONV). Results: Postoperative pain across all points did not significantly differ between the 2 groups. Intraoperative and PACU narcotics did not differ significantly between the 2 groups. Readmission rates, PACU recovery time and PONV did not significantly differ between the 2 groups. There were no associated complications in either group. Conclusion: Ultrasound guided fascia iliaca block for hip arthroscopy had no clinical advantage when compared to one time intra-articular ropivacaine injection. Furthermore, an intraarticular injection decreases costs and is a safe and more efficient modality for postoperative pain control following hip arthroscopy.
Opioids: Clinical Practice, Monitoring, and Medicolegal Considerations
Eldrige, Jason S. , Rho, Richard H., Martin, Joanne L., Murphy, Joshua B., Hooten, W. Michael

The Journal of Applied Laboratory Medicine | July 23, 2018 | Volume: 2 | Issue: 4 | Pages: 573-586

10.1373/jalm.2017.024026 | PMID 33636882 Get It

Abstract Background In the past decade, opioid use in the general population of the US has increased dramatically. Concomitantly, opioid-related morbidity and mortality have also risen steeply. The causes of opioid over-prescribing are multifactorial, with pressure from medical agencies, patients, aggressive patient-directed marketing, and use of patient surveys as an evaluation tool to unduly influence medical providers' decision-making. Providers also have significant concerns regarding scrutiny from their medical board and exposure to medicolegal liability. Content To provide the basis for best practice recommendations, several aspects of modern opioid prescribing practice require review. The practicing clinician should be aware of: (a) the pervasiveness of current opioid prescribing within the US; (b) the availability and applicability of clinical tools used to assess patient risk; (c) the new guidelines designed to facilitate appropriate and safe medical use of opioids; (d) the incorporation of clinical tools and best documentation practices to reduce medicolegal exposure. Summary On completion of this review, the reader should be able to recognize the magnitude of the problem of opioid over-prescribing in the US and identify several patient risk factors for opioid misuse, abuse, and/or diversion. Specifically, better familiarity with the recently published CDC guidelines for opioid prescribing will help ensure the adoption of best-use practices that maximize therapeutic efficacy while attenuating the possibility of harm to patients. A thorough review of the legal principles and risk-mitigation strategies relevant to opioid prescribing will also lessen the clinician's exposure to medicolegal liability.
Effect ofBDNFVal66Met on disease markers in dominantly inherited Alzheimer's disease
Lim, Yen Ying , Hassenstab, Jason , Goate, Alison , Fagan, Anne M. , Benzinger, Tammie L.S. , Cruchaga, Carlos , Chhatwal, Jasmeer P. , Xiong, Chengjie , Farlow, Martin R. , Graff‐Radford, Neill R. , Laske, Christoph , Masters, Colin L. , Salloway, Stephen , Morris, John C. , Maruff, Paul , Bateman, Randall J. , Network, on behalf of the Dominantly Inherited Alzheimer, Cruchaga, Carlos , Bateman, Randall J , Masters, Colin L , Xiong, Chengjie , Benzinger, Tammie L S , Hassenstab, Jason , Morris, John C , McDade, Eric , Schofield, Peter R. , Network, on behalf of the Dominantly Inherited Alzheimer, Goate, Alison M , Maruff, Paul

Annals of Neurology | July 17, 2018 | Volume: 84 | Issue: 3 | Pages: 424-435

10.1002/ana.25299 | PMID 30014553 Get It

ObjectivePrevious studies suggest that the brain‐derived neurotrophic factor (BDNF) Val66Met (rs6265) polymorphism may influence symptom onset in Alzheimer's disease (AD). Our recent cross‐sectional findings suggest that Met66 may influence clinical expression in dominantly inherited AD (DIAD) through its effects on tau. However, it remains unclear whether carriage of Met66 in DIAD results in faster increases in cerebrospinal fluid (CSF) tau and ptau181, and whether these increases are associated with accelerated brain volume loss and memory decline.MethodsA total of 211 subjects (101 mutation noncarriers, 110 mutation carriers), who were cognitively normal, as defined by a Clinical Dementia Rating global score of 0, completed assessments of cognitive function, neuroimaging, and CSF sampling over 3.5 years as part of the Dominantly Inherited Alzheimer's Network.ResultsIn mutation carriers, Met66 carriers showed faster memory decline (4×), hippocampal volume loss (16×), and CSF tau and ptau181increases (6×) than Val66 homozygotes.BDNFdid not influence rates of cortical β‐amyloid accumulation or change in CSF Aβ42levels in mutation carriers. In mutation noncarriers,BDNFgenotype had no effect on change in cognition, brain volume, cortical β‐amyloid accumulation, or change in any CSF measures of tau, ptau181, and CSF Aβ42.InterpretationAs in sporadic AD, the deleterious effects of β‐amyloid on cognitive function, brain volume loss, and CSF tau in DIAD mutation carriers are less in Val66 homozygotes. TheBDNFVal66Met polymorphism should be considered as a potential moderator of clinical trial outcomes in current treatment and prevention trials in DIAD and sporadic AD. Ann Neurol 2018;84:424–435