Citations

Clear

4201 citation(s) found for "Chen, Chen".

PedBLIMP: Extending Linear Predictors to Impute Genotypes in Pedigrees
Chen, Wenan , Schaid, Daniel J.

Mayo Clinic

Genetic Epidemiology | July 15, 2014 | Volume: 38 | Issue: 6 | Pages: 531-541

10.1002/gepi.21838 | PMID 25044249 Get It

Evolution of Microscopic Colitis to Giant Cell Colitis Without Significant Intraepithelial Lymphocytosis or Thickened Collagen Plate
Petris, Giovanni De , De Petris, Giovanni, Chen, Longwen

Mayo Clinic

International Journal of Surgical Pathology | July 8, 2014 | Volume: 23 | Issue: 3 | Pages: 225-229

10.1177/1066896914542124 | PMID 25006169 Get It

Microscopic colitis (MC) is an umbrella term that encompasses lymphocytic colitis (LC) and collagenous colitis (CC). Several histological variants of these 2 entities exist; among them is the uncommon giant cell colitis (GCC), in which histiocytic giant cells (GCs) are present in background of CC or LC. We report the case of a 71-year-old woman complaining of watery diarrhea for several years that was diagnosed with CC. At follow-up, she developed giant cell colitis (GCC). Nine years later, a colectomy revealed a form of microscopic colitis in which significant intraepithelial lymphocytosis and collagen plate thickening have disappeared while GCs persisted with diffuse mononuclear cells inflammation of the lamina propria. Thinning of the collagen plate in association with GCs has been described previously. The case contributes the possibility of further evolution of MC into a pure giant cell colitis in which the prototypical manifestations of MC have all but disappeared.
Long‐term survival with cyclophosphamide, bortezomib and dexamethasone induction therapy in patients with newly diagnosed multiple myeloma
Reeder, Craig B. , Reece, Donna , Kukreti, Vishal , Chen, Christine , Trudel, Suzanne , Laumann, Kristina, Vohra, Harjot , Bergsagel, P. Leif , Leis, José F., Tiedemann, Rodger E. , Stewart, A. Keith, Bergsagel, P. Leif , Mıkhael, Joseph , Fonseca, Rafaël

Mayo Clinic

British Journal of Haematology | June 30, 2014 | Volume: 167 | Issue: 4 | Pages: 563-565

10.1111/bjh.13004 | PMID 24974945 Get It

An Early Reduction in GH Peak Amplitude in Preproghrelin-Deficient Male Mice Has a Minor Impact on Linear Growth
Hassouna, Rim , Zizzari, Philippe , Tomasetto, Catherine , Veldhuis, Johannes D. , Fiquet, Oriane , Labarthe, Alexandra, Cognet, Julie, Steyn, Frederik J. , Chen, Chen , Epelbaum, Jacques, Tolle, Virginie , Steyn, F J , Chen, C

Mayo Clinic

Endocrinology | June 20, 2014 | Volume: 155 | Issue: 9 | Pages: 3561-3571

10.1210/en.2014-1126 | PMID 24949662 Get It

AbstractGhrelin is a gut hormone processed from the proghrelin peptide acting as the endogenous ligand of the GH secretagogue receptor 1a. The regulatory role of endogenous ghrelin on pulsatile GH secretion and linear growth had to be established. The aim of the present study was to delineate the endogenous actions of preproghrelin on peripheral and central components of the GH axis. Accordingly, the ultradian pattern of GH secretion was measured in young and old preproghrelin-deficient males. Blood samples were collected by tail bleeding every 10 minutes over a period of 6 hours. Analysis of the GH pulsatile pattern by deconvolution showed that GH was secreted in an ultradian manner in all genotypes, with major secretory peaks occurring at about 3-hour intervals. In older mice, the peak number was reduced and secretion was less irregular compared with younger animals. Remarkably, in young Ghrl−/− mice, the amplitude of GH secretory bursts was significantly reduced. In older mice, however, genotype differences were less significant. Changes in GH pulsatility in young Ghrl−/− mice were associated with a tendency for reduced GH pituitary contents and plasma IGF-I concentrations, but with only a minor impact on linear growth. In Ghrl+/− mice, despite reduced Acyl ghrelin to des-acyl ghrelin ratio, GH secretion was not impaired. Ghrelin deficiency was not associated with a reduction in hypothalamic GHRH content or altered response to GHRH stimulation. Therefore, reduction in GHRH production and/or sensitivity do not primarily account for the altered GH pulsatile secretion of young Ghrl−/− mice. Instead, GHRH expression was elevated in young but not old Ghrl−/− mice, suggesting that differential compensatory responses resulting from the absence of endogenous ghrelin is occurring according to age. These results show that endogenous ghrelin is a regulator of GH pulse amplitude in growing mice but does not significantly modulate linear growth.
Human Umbilical Cord Blood–Derived Mesenchymal Stem Cells Producing IL15 Eradicate Established Pancreatic Tumor in Syngeneic Mice
Wei, Jing , Lü, Lei , Hu, Xiangui, Shao, Chenghao , Zhang, Yijie , Zhou, Xuyu , Zhou, Yingqi, Wu, Lang , Fan, Kexing , Jin, Gang , Chen, Ying , Liu, Rui

Mayo Clinic

Molecular Cancer Therapeutics | June 16, 2014 | Volume: 13 | Issue: 8 | Pages: 2127-2137

10.1158/1535-7163.mct-14-0175 | PMID 24928851 Get It

Abstract Mesenchymal stem cells (MSC) represent a new tool for delivery of therapeutic agents to cancer sites because of their strong tropism toward tumors. IL15 has demonstrated a potent antitumor activity in various animal models as well as clinical trials. However, because of its short half-life, effective therapeutic effects usually require a high dose, which often results in undesired side effects; thus, new strategies for overcoming this disadvantage are needed. In this study, human MSCs were isolated from umbilical cord blood as delivery vehicles and transduced with lentivirus vector expressing murine IL15 (MSC-IL15). In vitro assays of lymphocyte activation and proliferation demonstrated that IL15 produced by MSCs was biofunctional. In syngeneic mice bearing Pan02 pancreatic tumors, systemic administration of MSC-IL15 significantly inhibited tumor growth and prolonged the survival of tumor-bearing mice, which were associated with tumor cell apoptosis, and natural killer (NK)– and T-cell accumulation. Furthermore, we confirmed that MSC-IL15 could migrate toward tumor and secreted IL15 in tumor-specific sites. Depletion of NK and CD8+ T cells abolished the antitumor activity of MSC-IL15, suggesting that NK and CD8+ T cells play a key role for MSC-IL15–mediated effect. Interestingly, cured mice after MSC-IL15 treatment were resistant to Pan02 pancreatic tumor rechallenge, and adoptive transfer of lymphocytes from cured mice also could cause rejection of Pan02 tumor inoculation in naïve mice, indicating that MSC-IL15 induced tumor-specific T-cell immune memory response. Overall, these data support that MSCs producing IL15 might represent an innovative strategy for therapy of pancreatic tumor. Mol Cancer Ther; 13(8); 2127–37. ©2014 AACR.
External Validation of a Multiplex Urinary Protein Panel for the Detection of Bladder Cancer in a Multicenter Cohort
Chen, Li-Mei, Chang, Myron, Dai, Yunfeng , Chai, Karl X., Dyrskjøt, Lars , Sänchez‐Carbayo, Marta, Szarvas, Tibor , Zwarthoff, Ellen C. , Lokeshwar, Vinata B. , Jerónimo, Cármen , Parker, Alexander S. , Ross, Shanti, Borre, Michael , Ørntoft, Torben F., Jaeger, T., Beukers, Willemien, López, Luis E., Henrique, Rui , Urquidi, Virginia, Goodison, Steve , Rosser, Charles J. , Chen, Li‐Mei , Young, Paul R.

Mayo Clinic

Cancer Epidemiology, Biomarkers & Prevention | June 12, 2014 | Volume: 23 | Issue: 9 | Pages: 1804-1812

10.1158/1055-9965.epi-14-0029 | PMID 24920641 Get It

Abstract Background: Because of the faltering sensitivity and/or specificity, urine-based assays currently have a limited role in the management of patients with bladder cancer. The aim of this study was to externally validate our previously reported protein biomarker panel from multiple sites in the United States and Europe. Methods: This multicenter external validation study included a total of 320 subjects (bladder cancer = 183). The 10 biomarkers (IL8, MMP9, MMP10, SERPINA1, VEGFA, ANG, CA9, APOE, SDC1, and SERPINE1) were measured using commercial ELISA assays in an external laboratory. The diagnostic performance of the biomarker panel was assessed using receiver operator curves (ROC) and descriptive statistical values. Results: Utilizing the combination of all 10 biomarkers, the area under the ROC for the diagnostic panel was noted to be 0.847 (95% confidence interval, 0.796–0.899), outperforming any single biomarker. The multiplex assay at optimal cutoff value achieved an overall sensitivity of 0.79, specificity of 0.79, positive prediction value of 0.73, and negative prediction value of 0.84 for bladder cancer classification. Sensitivity values of the diagnostic panel for high-grade bladder cancer, low-grade bladder cancer, muscle invasive bladder cancer, and non-muscle invasive bladder cancer were 0.81, 0.90, 0.95, and 0.77, respectively. Conclusions: Urinary levels of the biomarker panel enabled discrimination of patients with bladder cancer and controls, and the levels of biomarker subsets were associated with advancing tumor grade and stage. Impact: If proven to be reliable, urinary diagnostic biomarker assays can detect bladder cancer in a timely manner such that the patient can expect improvements in overall survival and quality of life. Cancer Epidemiol Biomarkers Prev; 23(9); 1804–12. ©2014 AACR.
High‐Resolution Molecular Validation of Self‐Renewal and Spontaneous Differentiation in Clinical‐Grade Adipose‐Tissue Derived Human Mesenchymal Stem Cells
Dudakovic, Amel , Camilleri, Emily T. , Riester, Scott M. , Lewallen, Eric A. , Kvasha, Sergiy M., Chen, Xiaoyue , Radel, Darcie J., Anderson, Jarett M., Nair, Asha, Evans, Jared M., Krych, Aaron J. , Smith, Jay , Deyle, David R. , Stein, Janet L. , Im, Hee‐Jeong , Cool, Simon M. , Dietz, Allan B. , Wijnen, André J. van , Camilleri, Emily , Stein, Gary S. , Westendorf, Jennifer J. , Kakar, Sanjeev , van Wijnen, Andre J , Krych, Aaron J , Dietz, Allan B , Camilleri, Emily

Mayo Clinic

Journal of Cellular Biochemistry | June 6, 2014 | Volume: 115 | Issue: 10 | Pages: 1816-1828

10.1002/jcb.24852 | PMID 24905804 Get It

AbstractImproving the effectiveness of adipose‐tissue derived human mesenchymal stromal/stem cells (AMSCs) for skeletal therapies requires a detailed characterization of mechanisms supporting cell proliferation and multi‐potency. We investigated the molecular phenotype of AMSCs that were either actively proliferating in platelet lysate or in a basal non‐proliferative state. Flow cytometry combined with high‐throughput RNA sequencing (RNASeq) and RT‐qPCR analyses validate that AMSCs express classic mesenchymal cell surface markers (e.g., CD44, CD73/NT5E, CD90/THY1, and CD105/ENG). Expression of CD90 is selectively elevated at confluence. Self‐renewing AMSCs express a standard cell cycle program that successively mediates DNA replication, chromatin packaging, cyto‐architectural enlargement, and mitotic division. Confluent AMSCs preferentially express genes involved in extracellular matrix (ECM) formation and cellular communication. For example, cell cycle‐related biomarkers (e.g., cyclins E2 and B2, transcription factor E2F1) and histone‐related genes (e.g., H4, HINFP, NPAT) are elevated in proliferating AMSCs, while ECM genes are strongly upregulated (>10‐fold) in quiescent AMSCs. AMSCs also express pluripotency genes (e.g., POU5F1, NANOG, KLF4) and early mesenchymal markers (e.g., NES, ACTA2) consistent with their multipotent phenotype. Strikingly, AMSCs modulate expression of WNT signaling components and switch production of WNT ligands (from WNT5A/WNT5B/WNT7B to WNT2/WNT2B), while upregulating WNT‐related genes (WISP2, SFRP2, and SFRP4). Furthermore, post‐proliferative AMSCs spontaneously express fibroblastic, osteogenic, chondrogenic, and adipogenic biomarkers when maintained in confluent cultures. Our findings validate the biological properties of self‐renewing and multi‐potent AMSCs by providing high‐resolution quality control data that support their clinical versatility. J. Cell. Biochem. 115: 1816–1828, 2014. © 2014 Wiley Periodicals, Inc.
PatternCNV: a versatile tool for detecting copy number changes from exome sequencing data
Wang, Chen , Evans, Jared M., Bhagwate, Aditya , Prodduturi, Naresh, Sarangi, Vivekananda , Middha, Mridu , Sicotte, Hugues , Vedell, Peter T. , Hart, Steven N. , Oliver, Gavin R. , Kocher, Jean‐Pierre , Maurer, Matthew J. , Novak, Anne J. , Cerhan, James R. , Asmann, Yan W. , Bhagwate, Aditya V., Slager, Susan L. , Maurer, Matthew , Cerhan, James R , Wang, Chen , Hart, Steven N

Mayo Clinic

Bioinformatics | May 30, 2014 | Volume: 30 | Issue: 18 | Pages: 2678-2680

10.1093/bioinformatics/btu363 | PMID 24876377 Get It

Abstract Motivation: Exome sequencing (exome-seq) data, which are typically used for calling exonic mutations, have also been utilized in detecting DNA copy number variations (CNVs). Despite the existence of several CNV detection tools, there is still a great need for a sensitive and an accurate CNV-calling algorithm with built-in QC steps, and does not require a paired reference for each sample. Results: We developed a novel method named PatternCNV, which (i) accounts for the read coverage variations between exons while leveraging the consistencies of this variability across different samples; (ii) reduces alignment BAM files to WIG format and therefore greatly accelerates computation; (iii) incorporates multiple QC measures designed to identify outlier samples and batch effects; and (iv) provides a variety of visualization options including chromosome, gene and exon-level views of CNVs, along with a tabular summarization of the exon-level CNVs. Compared with other CNV-calling algorithms using data from a lymphoma exome-seq study, PatternCNV has higher sensitivity and specificity. Availability and implementation: The software for PatternCNV is implemented using Perl and R, and can be used in Mac or Linux environments. Software and user manual are available at http://bioinformaticstools.mayo.edu/research/patterncnv/ , and R package at https://github.com/topsoil/patternCNV/ . Contact: Asmann.Yan@mayo.edu Supplementary information: Supplementary data are available at Bioinformatics online.
Comparison of Cellular Architecture, Axonal Growth, and Blood Vessel Formation Through Cell-Loaded Polymer Scaffolds in the Transected Rat Spinal Cord
Madigan, Nicolas N. , Chen, Bingkun K. , Rooney, Gemma E., Sweeney, Eva , Kinnavane, Lisa , Yaszemski, Michael J. , Dockery, Peter , McMahon, Siobhán S. , Windebank, Anthony J. , Knight, Andrew Michael , O’Brien, Timothy

Mayo Clinic

Tissue Engineering Part A | May 22, 2014 | Volume: 20 | Issue: 21-22 | Pages: 2985-2997

10.1089/ten.tea.2013.0551 | PMID 24854680 Get It

Measuring viscoelasticity of soft tissues using shear and guided waves
Amador, Carolina , Nenadic, Ivan , Zhao, Heng , Greenleaf, James F. , Urban, Matthew W. , Chen, Shigao

Mayo Clinic

The Journal of the Acoustical Society of America | May 21, 2014 | Volume: 135 | Issue: 4_Supplement | Pages: 2218-2218

10.1121/1.4877243 Get It

Elasticity imaging has emerged as a viable clinical tool for assisting in diagnosis of certain diseases such as liver fibrosis and cancer. Many methods have been developed for generating and measuring shear waves in soft tissues. The advantage of using shear waves is that the shear wave velocity is proportional to the mechanical material properties of the tissues under investigation. Soft tissues are inherently viscoelastic and considerable effort has been made to quantify the dispersion, or variation of frequency, of the velocity and attenuation of shear waves. This is accomplished by measuring the shear wave motion and using Fourier-based techniques to extract the shear wave velocity and attenuation. Additional considerations are made in tissues where geometric dispersion is also present such as in the heart. Viscoelastic characterization of the shear viscoelasticity of soft tissues in vivo such as human liver, human kidney, and swine heart will be shown. We will also demonstrate parameterization of the results by using a model-free approach or by fitting the shear wave velocity dispersion to rheological models. The diagnostic value of the viscoelastic parameters will be discussed for each particular application. [This work was supported in part by NIH Grant Nos. DK092255, DK082408, and EB002167.]