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2121 citation(s) found for "Ma, Julie".

Stroke Genetics Network (SiGN) Study
Arnett, Donna K. , Ay, Hakan , Brown, Robert D. , Benavente, Oscar, Bakker, Paul I. W. de , Dichgans, Martin , Doheny, Kimberly F. , Fornage, Myriam , Grewal, Raji P., Gwinn, Katrina , Conde, Jordi Jiménez, Johnson, Julie A. , Laurie, Cathy C. , Lee, Jin‐Moo , Lindgren, Arne, Markus, Hugh S. , McArdle, Patrick F. , McClure, Leslie A. , Mitchell, Braxton D. , Schmidt, Reinhold , Rexrode, Kathryn M. , Rich, Stephen S. , Rothwell, Peter M. , Sacco, Ralph L., Shuldiner, Alan R. , Słowik, Agnieszka , Sudlow, Cathie , Thijs, Vincent , Woo, Daniel , Worrall, Bradford B. , Wu, Ona , Kittner, Steven J. , collaborators, The SiGN study also includes the following, Anderson, Christopher D. , Andrén, Kerstin , Barrett, Kevin M. , Benner, Thomas, Bentley, Paul , Bevan, Steven, Biffi, Alessandro , Chapman, Sherita , Cheng, Yu‐Ching, Delavaran, Hossein , Gamble, Dale M., Giralt, Eva, Grazer, Anja, Gschwendtner, Andreas, Hegge, Caityln, Heitsch, Laura , Helenius, Johanna, Huq, Mohammed Saiful, Irie, Robert E., Jackson, Rebecca D. , Katschnig, Petra , Katsnelson, Michael , Khoury, Naïm , Kilinc, Selma, Kumar, Gyanendra, Langefeld, Carl D. , Lemmens, Robin , Malik, Shaneela , Melander, Olle , Nordström, Sara , Ois, Ángel , Ossi, Raid G., Peddareddygari, Leema Reddy , Pedersén, Annie , Pucek, Mateusz, Redfors, Petra , Rhodes, J. , Saraf, Neha, Schuerks, Markus, Seiler, Stephan , Sheikh, Huma U., Sparks, Mary J., Stoegerer, Eva, Temple, Ella, Valenti, Raffaella , Weir, David R. , Weissman, Darren, Woodfield, Rebecca, Yiin, Gabriel , Soliman, Elsayed Z. , Cushman, Mary , Kumar, Gyanendra , Bevan, Steve , Meschia, James F. , Cole, John W. , Jern, Christina , Jood, Katarina , Lindgren, Arne, Rosand, Jonathan M. , Rundek, Tatjana , Sharma, Pankaj Kumar , Wassertheil-Smoller, Sylvia W , collaborators, The SiGN study also includes the following, Andsberg, Gunnar , Arsava, Ethem Murat , Bevan, Steven, Brenner, David A. , Deline, Chris A. , Dziedzic, Tomasz , Holmegaard, Lukas , Kilinc, Selma, Kumar, Gyanendra, Labovitz, Daniel , Lanfranconi, Silvia , Li, Linxin , Norrving, Bo , Pera, Joanna , Rannikmäe, Kristiina , Ribasés, Marta , Southerland, Andrew M. , Sunyer, Jordi , Dichgans, Martin , Rich, Stephen S , Lemmens, Robin , Mitchell, Braxton D , Shuldiner, Alan R , Arnett, Donna K , Wu, Ona , Lee, Jin-Moo

Stroke | September 11, 2013 | Volume: 44 | Issue: 10 | Pages: 2694-2702

10.1161/strokeaha.113.001857 | PMID 24021684 Get It

Background and Purpose— Meta-analyses of extant genome-wide data illustrate the need to focus on subtypes of ischemic stroke for gene discovery. The National Institute of Neurological Disorders and Stroke SiGN (Stroke Genetics Network) contributes substantially to meta-analyses that focus on specific subtypes of stroke. Methods— The National Institute of Neurological Disorders and Stroke SiGN includes ischemic stroke cases from 24 genetic research centers: 13 from the United States and 11 from Europe. Investigators harmonize ischemic stroke phenotyping using the Web-based causative classification of stroke system, with data entered by trained and certified adjudicators at participating genetic research centers. Through the Center for Inherited Diseases Research, the Network plans to genotype 10 296 carefully phenotyped stroke cases using genome-wide single nucleotide polymorphism arrays and adds to these another 4253 previously genotyped cases, for a total of 14 549 cases. To maximize power for subtype analyses, the study allocates genotyping resources almost exclusively to cases. Publicly available studies provide most of the control genotypes. Center for Inherited Diseases Research–generated genotypes and corresponding phenotypes will be shared with the scientific community through the US National Center for Biotechnology Information database of Genotypes and Phenotypes, and brain MRI studies will be centrally archived. Conclusions— The Stroke Genetics Network, with its emphasis on careful and standardized phenotyping of ischemic stroke and stroke subtypes, provides an unprecedented opportunity to uncover genetic determinants of ischemic stroke.
Telomere Length Varies By DNA Extraction Method: Implications for Epidemiologic Research
Cunningham, Julie M. , Johnson, Ruth, Vanderboom, Russell J., Kimmel, Grace W., Gangnon, Ronald E. , Riegert‐Johnson, Douglas L. , Potter, John D. , Buchanan, Daniel D. , Jenkins, Mark A. , Rider, David N., Thibodeau, Stephen N. , Petersen, Gloria M. , Boardman, Lisa A., Litzelman, Kristin , Skinner, Halcyon G. , Seo, Songwon , Engelman, Corinne D. , Baron, John A. , Haile, Robert W. , Boardman, Lisa A., Buchanan, Daniel D , Jenkins, Mark A , Potter, John D

Cancer Epidemiology, Biomarkers & Prevention | September 9, 2013 | Volume: 22 | Issue: 11 | Pages: 2047-2054

10.1158/1055-9965.epi-13-0409 | PMID 24019396 Get It

Abstract Background: Both shorter and longer telomeres in peripheral blood leukocyte (PBL) DNA have been associated with cancer risk. However, associations remain inconsistent across studies of the same cancer type. This study compares DNA preparation methods to determine telomere length from patients with colorectal cancer. Methods: We examined PBL relative telomere length (RTL) measured by quantitative PCR (qPCR) in 1,033 patients with colorectal cancer and 2,952 healthy controls. DNA was extracted with phenol/chloroform, PureGene, or QIAamp. Results: We observed differences in RTL depending on DNA extraction method (P < 0.001). Phenol/chloroform-extracted DNA had a mean RTL (T/S ratio) of 0.78 (range 0.01–6.54) compared with PureGene-extracted DNA (mean RTL of 0.75; range 0.00–12.33). DNA extracted by QIAamp yielded a mean RTL of 0.38 (range 0.02–3.69). We subsequently compared RTL measured by qPCR from an independent set of 20 colorectal cancer cases and 24 normal controls in PBL DNA extracted by each of the three extraction methods. The range of RTL measured by qPCR from QIAamp-extracted DNA (0.17–0.58) was less than from either PureGene or phenol/chloroform (ranges, 0.04–2.67 and 0.32–2.81, respectively). Conclusions: RTL measured by qPCR from QIAamp-extracted DNA was less than from either PureGene or phenol/chloroform (P < 0.001). Impact: Differences in DNA extraction method may contribute to the discrepancies between studies seeking to find an association between the risk of cancer or other diseases and RTL. Cancer Epidemiol Biomarkers Prev; 22(11); 2047–54. ©2013 AACR.
Novel TRAF1‐ALK fusion identified by deep RNA sequencing of anaplastic large cell lymphoma
Vasmatzis, George , Asmann, Yan W. , Davila, Jaime , Middha, Sumit , Eckloff, Bruce W., Johnson, Sarah H. , Porcher, Julie C., Ansell, Stephen M. , Caride, Ariel J. , Feldman, Andrew L. , Davila, Jaime I

Genes, Chromosomes and Cancer | September 2, 2013 | Volume: 52 | Issue: 11 | Pages: 1097-1102

10.1002/gcc.22104 | PMID 23999969 Get It

Chromosomal translocations leading to expression of abnormal fusion proteins play a major role in the pathogenesis of various hematologic malignancies. The recent development of high‐throughput, “deep” sequencing has allowed discovery of novel translocations leading to a rapid increase in understanding these diseases. Translocations involving the anaplastic lymphoma kinase (ALK) gene leading to ALK fusion proteins originally were discovered in anaplastic large cell lymphomas (ALCLs). Among ALCLs, NPM1‐ALK fusions are most common and lead to nuclear localization of the fusion protein. Here, we present a 50‐year‐old male with ALCL demonstrating cytoplasmic ALK immunoreactivity only, suggesting the presence of a non‐NPM1 fusion partner. We performed deep RNA sequencing of tumor tissue from this patient and identified a novel transcript fusing Exon 6 of TRAF1 to Exon 20 of ALK. The TRAF1‐ALK fusion transcript was confirmed at the mRNA level by Sanger sequencing and the fusion protein was visualized by Western blot. The discovery of this TRAF1‐ALK fusion expands the diversity of known ALK fusion partners and highlights the power of deep sequencing for fusion transcript discovery. © 2013 Wiley Periodicals, Inc.
Evaluation of an Enzyme Immunoassay for Detection of Histoplasma capsulatum Antigen from Urine Specimens
Theel, Elitza S. , Jespersen, Deborah J., Harring, Julie, Mandrekar, Jay , Binnicker, Matthew J.

Journal of Clinical Microbiology | August 22, 2013 | Volume: 51 | Issue: 11 | Pages: 3555-3559

10.1128/jcm.01868-13 | PMID 23966508 Get It

ABSTRACT Detection of Histoplasma capsulatum urinary antigen (UAg) is important for the initial diagnosis of infection and for monitoring of patient responses to antifungal therapy. This study evaluated an analyte-specific reagent (ASR) enzyme immunoassay (EIA) for the detection of H. capsulatum UAg from Immuno Mycologics, Inc. (IMMY) (Norman, OK) in comparison with routine testing with the MiraVista (MVista) H. capsulatum quantitative EIA (MiraVista Diagnostics, Indianapolis, IN). Using prospectively collected urine specimens ( n = 1,003), we observed an overall percent agreement between the two assays of 97.6% (979/1,003 samples). Compared with the MVista EIA, the sensitivity and specificity of the IMMY ASR EIA were 64.5% (40/62 samples) and 99.8% (939/941 samples), respectively, using a cutoff value of 0.5 ng/ml. Based on available clinical histories for 23/24 discordant samples, 5 IMMY assay-negative/MVista assay-positive samples were considered falsely positive. Furthermore, 10/23 discordant samples were positive by the MVista EIA but were below the limit of quantitation (<0.4 ng/ml). The clinical significance of these low positive results in the MVista EIA is unclear. In addition to the prospective study, we tested 11 urine specimens collected from patients with culture-confirmed Histoplasma infections, and 100% (11/11 samples) were positive by the IMMY ASR EIA. In conclusion, the IMMY ASR EIA may offer an alternative approach for the detection of Histoplasma UAg. Additional prospective studies are needed to better characterize the performance of the IMMY ASR EIA in conjunction with clinical and laboratory findings.
Impact of c-MYC Protein Expression on Outcome of Patients with Early-Stage HER2+ Breast Cancer Treated with Adjuvant Trastuzumab NCCTG (Alliance) N9831
Dueck, Amylou C. , Reinholz, Monica M., Geiger, Xochiquetzal J., Tenner, Kathleen , Jenkins, Robert B., Riehle, Darren, Chen, Beiyun, McCullough, Ann E. , Davidson, Nancy E. , Martino, Silvana, Kutteh, Leila A., Harris, Lyndsay N. , Lingle, Wilma L., Perez, Edith A. , Ballman, Karla V. , Sledge, George W. , Kaufman, Peter A. , Gralow, Julie R. , Ingle, James N. , Dueck, A. C.

Clinical Cancer Research | August 22, 2013 | Volume: 19 | Issue: 20 | Pages: 5798-5807

10.1158/1078-0432.ccr-13-0558 | PMID 23965903 Get It

Abstract Purpose: This study investigated the association between tumor MYC protein expression and disease-free survival (DFS) of patients randomized to receive chemotherapy alone (Arm A) or chemotherapy with sequential (Arm B) or concurrent trastuzumab (Arm C) in the N9831 (Alliance) adjuvant HER2+ trastuzumab breast cancer trial. Experimental Design: This analysis included 1,736 patients randomized to Arms A, B, and C on N9831. Nuclear MYC protein expression was determined in tissue microarray sections containing three biopsies per patient or whole tissue sections using standard immunohistochemistry (clone 9E10). A tumor was considered positive for MYC protein overexpression (MYC+) if the nuclear 3+ staining percentage was more than 30%. Results: Five hundred and seventy-four (33%) tumors were MYC+. MYC+ was associated with hormone receptor positivity (χ2, P = 0.006), tumors 2 cm or more (χ2, P = 0.02), and a higher rate of nodal positivity (χ2, P &lt; 0.001). HRs for DFS (median follow-up: 6.1 years) for Arm C versus A were 0.52 (P = 0.006) and 0.65 (P = 0.006) for patients with MYC+ and MYC− tumors, respectively (Pinteraction = 0.40). For Arm B versus A, HRs for patients with MYC+ and MYC− tumors were 0.79 (P = 0.21) and 0.74 (P = 0.04), respectively (Pinteraction = 0.71). For Arm C versus B, HRs for patients with MYC+ and MYC− tumors were 0.56 (P = 0.02) and 0.89 (P = 0.49), respectively (Pinteraction = 0.17). Conclusions: Our data do not support an impact of tumor MYC protein expression on differential benefit from adjuvant trastuzumab. Clin Cancer Res; 19(20); 5798–807. ©2013 AACR.
Biomarker-Based Ovarian Carcinoma Typing: A Histologic Investigation in the Ovarian Tumor Tissue Analysis Consortium
Köbel, Martin , Lee, Sandra , Kelemen, Linda E. , Prentice, Leah , Kalli, Kimberly R., Visscher, Daniel W., Keeney, Gary L., Vierkant, Robert A. , Cunningham, Julie M. , Ness, Roberta B., Moysich, Kirsten B., Wozniak, Eva , Gayther, Simon A. , Menon, Usha , Gilks, C. Blake, Huntsman, David G. , Ramus, Susan J. , Goode, Ellen L. , Kalloger, Steve E. , Duggan, Máire A. , Fridley, Brooke L. , Chow, Christine S. , Edwards, Todd , Modugno, Francesmary , Bunker, Clareann H. , Benjamin, Elizabeth , Gentry‐Maharaj, Aleksandra , Ramus, Susan J , Köbel, Martin , Vierkant, Robert A , Menon, Usha , Moysich, Kirsten

Cancer Epidemiology, Biomarkers & Prevention | July 24, 2013 | Volume: 22 | Issue: 10 | Pages: 1677-1686

10.1158/1055-9965.epi-13-0391 | PMID 23880734 Get It

Abstract Background: Ovarian carcinoma is composed of five major histologic types, which associate with outcome and predict therapeutic response. Our aim was to evaluate histologic type assessments across the centers participating in the Ovarian Tumor Tissue Analysis (OTTA) consortium using an immunohistochemical (IHC) prediction model. Methods: Tissue microarrays (TMA) and clinical data were available for 524 pathologically confirmed ovarian carcinomas. Centralized IHC was conducted for ARID1A, CDKN2A, DKK1, HNF1B, MDM2, PGR, TP53, TFF3, VIM, and WT1, and three histologic type assessments were compared: the original pathologic type, an IHC-based calculated type (termed TB_COSPv2), and a WT1-assisted TMA core review. Results: The concordance between TB_COSPv2 type and original type was 73%. Applying WT1-assisted core review, the remaining 27% discordant cases subdivided into unclassifiable (6%), TB_COSPv2 error (6%), and original type error (15%). The largest discordant subgroup was classified as endometrioid carcinoma by original type and as high-grade serous carcinoma (HGSC) by TB_COSPv2. When TB_COSPv2 classification was used, the difference in overall survival of endometrioid carcinoma compared with HGSC became significant [RR 0.60; 95% confidence interval (CI), 0.37–0.93; P = 0.021], consistent with previous reports. In addition, 71 cases with unclear original type could be histologically classified by TB_COSPv2. Conclusions: Research cohorts, particularly those across different centers within consortia, show significant variability in original histologic type diagnosis. Our IHC-based reclassification produced more homogeneous types with respect to outcome than original type. Impact: Biomarker-based classification of ovarian carcinomas is feasible, improves comparability of results across research studies, and can reclassify cases which lack reliable original pathology. Cancer Epidemiol Biomarkers Prev; 22(10); 1677–86. ©2013 AACR.
Single‐agent lenalidomide is active in patients with relapsed or refractory aggressive non‐Hodgkin lymphoma who received prior stem cell transplantation
Czuczman, Myron S., Zinzani, Pier Luigi , Reeder, Craig B. , Tuscano, Joseph M. , Lossos, Izidore S. , Pietronigro, Dennis, Vose, Julie M. , Habermann, Thomas M. , Li, Ju , Witzig, Thomas E. , Zinzani, Pier Luigi

British Journal of Haematology | July 9, 2013 | Volume: 162 | Issue: 5 | Pages: 639-647

10.1111/bjh.12449 | PMID 23834234 Get It

SummaryPatients with aggressive non‐Hodgkin lymphoma (NHL) who relapse after autologous stem cell transplantation (ASCT) have a poor prognosis. Additional therapy is often poorly tolerated, and new treatment modalities are needed. This efficacy and safety study was a retrospective analysis of two phase II trials (NHL‐002 and NHL‐003) that studied single‐agent lenalidomide in patients with relapsed/refractory aggressive NHL with prior (n = 87) compared with no prior ASCT (n = 179). The overall response rate in the ASCT group was 39% [14% complete response (CR)], including 29% in patients with diffuse large B‐cell lymphoma, 63% in mantle cell lymphoma, and 60% in transformed lymphoma. The timing of transplant relative to receiving lenalidomide had no effect on outcomes. Median progression‐free survival for the ASCT group was 3·7 months (16·9 months for patients in CR; 7·3 months for partial responders) at a median 12·5‐month follow‐up. Median response duration was 7·9 months. Regardless of prior ASCT, lenalidomide monotherapy was efficacious in heavily pretreated patients with aggressive, relapsed/refractory NHL, with a safety profile that was consistent with prior studies of single‐agent lenalidomide.
Autologous haematopoietic cell transplantation for non‐Hodgkin lymphoma with secondary CNS involvement
Wang, Zhiwei , Zhang, Mei‐Jie , Bolwell, Brian J., Chen, Andy I. , Fenske, Timothy S. , Freytes, César O. , Gibson, John, Hayes‐Lattin, Brandon , Holmberg, Leona , Inwards, David J. , Isola, Luis , Khoury, H. Jean , Lewis, Victor , Maharaj, Dipnarine , Munker, Reinhold , Phillips, Gordon L., Rizzieri, David A. , Rowlings, Philip A., Saber, Wael , Satwani, Prakash , Waller, Edmund K. , Maloney, David G. , Montoto, Silvia , Laport, Ginna G. , Hari, Parameswaran , Holmberg, Leona , Chen, Andy , Maziarz, Richard Thomas , Gale, Robert Peter , Vose, Julie M. , Lazarus, Hillard M. , Waller, Edmund K , Montoto, Silvia , Hari, Parameswaran

British Journal of Haematology | July 6, 2013 | Volume: 162 | Issue: 5 | Pages: 648-656

10.1111/bjh.12451 | PMID 23829536 Get It

SummaryPre‐existing central nervous system (CNS) involvement may influence referral for autologous haematopoietic cell transplantation (AHCT) for patients with non‐Hodgkin lymphoma (NHL). The outcomes of 151 adult patients with NHL with prior secondary CNS involvement (CNS+) receiving an AHCT were compared to 4688 patients without prior CNS lymphoma (CNS−). There were significant baseline differences between the cohorts. CNS+ patients were more likely to be younger, have lower performance scores, higher age‐adjusted international prognostic index scores, more advanced disease stage at diagnosis, more aggressive histology, more sites of extranodal disease, and a shorter interval between diagnosis and AHCT. However, no statistically significant differences were identified between the two groups by analysis of progression‐free survival (PFS) and overall survival (OS) at 5 years. A matched pair comparison of the CNS+ group with a subset of CNS− patients matched on propensity score also showed no differences in outcomes. Patients with active CNS lymphoma at the time of AHCT (n = 55) had a higher relapse rate and diminished PFS and OS compared with patients whose CNS lymphoma was in remission (n = 96) at the time of AHCT. CNS+ patients can achieve excellent long‐term outcomes with AHCT. Active CNS lymphoma at transplant confers a worse prognosis.
Military risk factors for Alzheimer's disease
Weiner, Michael W. , Friedl, Karl E. , Pacifico, Anthony, Chapman, Julie C., Jaffee, Michael S., Little, Deborah M. , Manley, Geoffrey T. , McKee, Ann C. , Petersen, Ronald C. , Pitman, Roger K. , Yaffe, Kristine , Obana, Robert, Bain, Lisa J. , Carrillo, María C. , Zetterberg, Henrik

Alzheimer's & Dementia | June 26, 2013 | Volume: 9 | Issue: 4 | Pages: 445-451

10.1016/j.jalz.2013.03.005 | PMID 23809365 Get It

AbstractTraumatic brain injury (TBI) and post‐traumatic stress disorder (PTSD) are signature injuries of the wars in Iraq and Afghanistan and have been linked to an increased risk of Alzheimer's disease (AD) and other dementias. A meeting hosted by the Alzheimer's Association and the Veterans' Health Research Institute (NCIRE) in May 2012 brought together experts from the U.S. military and academic medical centers around the world to discuss current evidence and hypotheses regarding the pathophysiological mechanisms linking TBI, PTSD, and AD. Studies underway in civilian and military populations were highlighted, along with new research initiatives such as a study to extend the Alzheimer's Disease Neuroimaging Initiative (ADNI) to a population of veterans exposed to TBI and PTSD. Greater collaboration and data sharing among diverse research groups is needed to advance an understanding and appropriate interventions in this continuum of military injuries and neurodegenerative disease in the aging veteran.