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5210 citation(s) found for "Wang, Li-Ju".

O1‐03–03: Reduced β‐amyloid deposition in amyloid precursor protein transgenic mice lacking the insulin‐degrading enzyme
Guénette, Suzanne Y., Wang, Lirong , Robak, Angela, Eckman, Christopher B., Tanzi, Rudolph E. , Eckman, Elizabeth A. , Mathews, Paul M.

Mayo Clinic

Alzheimer's & Dementia | July 24, 2008 | Volume: 4 | Issue: 4S_Part_3 | Pages: No page available

10.1016/j.jalz.2008.05.231 Get It

Medullary Thyroid Carcinoma without Marked Elevation of Calcitonin: A Diagnostic and Surveillance Dilemma
Ocal, Idris Tolgay, Cox, Heather, Wang, Tracy S. , Sosa, Julie Ann , Roman, Sanziana A.

Mayo Clinic

Thyroid | July 23, 2008 | Volume: 18 | Issue: 8 | Pages: 889-894

10.1089/thy.2007.0413 | PMID 18651827 Get It

Host immune gene polymorphisms in combination with clinical and demographic factors predict late survival in diffuse large B-cell lymphoma patients in the pre-rituximab era
Wang, Sophia , Maurer, Matthew J. , Morton, Lindsay M. , Lynch, Charles F. , Ansell, Stephen M. , Hartge, Patricia, Severson, Richard K., Rothman, Nathaniel , Geyer, Susan M. , Cerhan, James R. , Habermann, Thomas M. , Davis, Scott , Cozen, Wendy , Chanock, Stephen Jacob , Maurer, Matthew , Cerhan, James R , Morton, Lindsay M , Wang, Sophia S

Mayo Clinic

Blood | July 17, 2008 | Volume: 112 | Issue: 7 | Pages: 2694-2702

10.1182/blood-2007-09-111658 | PMID 18633131 Get It

AbstractTo evaluate the hypothesis that host germ line variation in immune genes is associated with overall survival in diffuse large B-cell lymphoma (DLBCL), we genotyped 73 single nucleotide polymorphisms (SNPs) from 44 candidate genes in 365 DLBCL patients diagnosed from 1998 to 2000. We estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for the association of SNPs with survival after adjusting for clinical factors. During follow-up, 96 (26%) patients died, and the median follow-up was 57 months for surviving patients. The observed survival of this cohort was consistent with population-based estimates conditioned on surviving 12 months. An IL10 haplotype (global P = .03) and SNPs in IL8RB (rs1126580; HRAG/GG = 2.11; CI, 1.28-3.50), IL1A (rs1800587; HRCT/TT = 1.90; CI, 1.26-2.87), TNF (rs1800629; HRAG/GG = 1.44; CI, 0.95-2.18), and IL4R (rs2107356; HRCC/CT = 1.97; CI, 1.01-3.83) were the strongest predictors of overall survival. A risk score that combined the latter 4 SNPs with clinical factors was strongly associated with survival in a Cox model (P = 6.0 × 10−11). Kaplan-Meier 5-year survival estimates for low, intermediate-low, intermediate-high, and high-risk patients were 94%, 79%, 60%, and 48%, respectively. These data support a role for germ line variation in immune genes, particularly genes associated with a proinflammatory state, as predictors of late survival in DLBCL.
Breast Cancer Risk Reduction and Membrane-Bound Catechol O -Methyltransferase Genetic Polymorphisms
Zhang, Jianping , Hildebrandt, Michelle, Wang, Liewei , Fredericksen, Zachary, Sellers, Thomas A. , Miller, William H. , Dixon, J. Michael , Brauch, Hiltrud , Eichelbaum, Michel , Justenhoven, Christina , Hamann, Ute , Ko, Yon, Brüning, Thomas , Chang‐Claude, Jenny , Wang‐Gohrke, Shan , Schaid, Daniel J. , Weinshilboum, Richard M. , Ji, Yuan , Olson, Janet E. , Ingle, James N. , Weinshilboum, Richard M. , Brauch, Hiltrud

Mayo Clinic

Cancer Research | July 16, 2008 | Volume: 68 | Issue: 14 | Pages: 5997-6005

10.1158/0008-5472.can-08-0043 | PMID 18632656 Get It

Abstract Catechol O-methyltransferase (COMT)-catalyzed methylation of catecholestrogens has been proposed to play a protective role in estrogen-induced genotoxic carcinogenesis. We have taken a comprehensive approach to test the hypothesis that genetic variation in COMT might influence breast cancer risk. Fifteen COMT single nucleotide polymorphisms (SNPs) selected on the basis of in-depth resequencing of the COMT gene were genotyped in 1,482 DNA samples from a Mayo Clinic breast cancer case control study. Two common SNPs in the distal promoter for membrane-bound (MB) COMT, rs2020917 and rs737865, were associated with breast cancer risk reduction in premenopausal women in the Mayo Clinic study, with allele-specific odds ratios (OR) of 0.70 [95% confidence interval (CI), 0.52–0.95] and 0.68 (95% CI, 0.51–0.92), respectively. These two SNPs were then subjected to functional genomic analysis and were genotyped in an additional 3,683 DNA samples from two independent case control studies (GENICA and GESBC). Functional genomic experiments showed that these SNPs could up-regulate transcription and that they altered DNA-protein binding patterns. Furthermore, substrate kinetic and exon array analyses suggested a role for MB-COMT in catecholestrogen inactivation. The GENICA results were similar to the Mayo case control observations, with ORs of 0.85 (95% CI, 0.72–1.00) and 0.85 (95% CI, 0.72–1.01) for the two SNPs. No significant effect was observed in the GESBC study. These studies showed that two SNPs in the COMT distal promoter were associated with breast cancer risk reduction in two of three case control studies, compatible with the results of functional genomic experiments, suggesting a role for MB-COMT in breast cancer risk. [Cancer Res 2008;68(14):5997–6005]
Progenitor Cell Therapy in a Porcine Acute Myocardial Infarction Model Induces Cardiac Hypertrophy, Mediated by Paracrine Secretion of Cardiotrophic Factors Including TGFβ1
Doyle, Brendan, Sorajja, Paul , Hynes, Brian, Kumar, Arun , Araoz, Phillip A., Stalboerger, Paul G., Miller, Dylan V. , Reed, Cynthia , Schmeckpeper, Jeffrey , Wang, Shaohua , Liu, Chunsheng , Krüger, David , Riederer, Stephen J. , Caplice, Noel M. , Sorajja, Paul , Terzic, André

Mayo Clinic

Stem Cells and Development | June 18, 2008 | Volume: 17 | Issue: 5 | Pages: 941-952

10.1089/scd.2007.0214 | PMID 18564032 Get It

Proteasome β Subunit Pharmacogenomics: Gene Resequencing and Functional Genomics
Wang, Liewei , Kumar, Shaji , Kalari, Krishna R. , Moon, Irene, Pelleymounter, Linda L., Batzler, Anthony , Eckloff, Bruce W., Wieben, Eric D. , Greipp, Philip R., Fridley, Brooke L. , Hildebrandt, Michelle A.T. , Kalari, Krishna R

Mayo Clinic

Clinical Cancer Research | June 2, 2008 | Volume: 14 | Issue: 11 | Pages: 3503-3513

10.1158/1078-0432.ccr-07-5150 | PMID 18519783 Get It

Abstract Purpose: The proteasome is a multisubunit cellular organelle that functions as a nonlysosomal threonine protease. Proteasomes play a critical role in the degradation of proteins, regulating a variety of cellular processes, and they are also the target for antineoplastic proteasome inhibitors. Genetic variation in proteasome subunits could influence both proteasome function and response to drug therapy. Experimental Design: We resequenced genes encoding the three active proteasome β subunits using 240 DNA samples from four ethnic groups and the β5 subunit gene in 79 DNA samples from multiple myeloma patients who had been treated with the proteasome inhibitor bortezomib. Resequencing was followed by functional studies of polymorphisms identified in the coding region and 3′-flanking region (3′-FR) of PSMB5, the gene encoding the target for clinically useful proteasome inhibitors. Results: Resequencing of 240 DNA samples identified a series of novel ethnic-specific polymorphisms that are not represented in public databases. The PSMB5 3′-FR 1042 G allele significantly increased transcription during reporter gene studies, observations confirmed by genotype-phenotype correlations between single nucleotide polymorphisms (SNP) in PSMB5 and mRNA expression in the 240 lymphoblastoid cell lines from which the resequenced DNA was obtained. Studies with patient DNA samples identified additional novel PSMB5 polymorphisms, including a SNP and an insertion in the 3′-FR. Reporter-gene studies indicated that these two novel polymorphisms might decrease transcription. Conclusions: These results show that nonsynonymous coding SNPs in the PSMB5 gene did not show significant effects on proteasome activity, but SNPs did influence transcription. Future studies might focus on regulatory region polymorphisms.
Cyproheptadine displays preclinical activity in myeloma and leukemia
Mao, Xinliang , Liang, Sheng-Ben, Hurren, Rose, Gronda, Marcela, Chow, Sue, Xu, Gang , Zavareh, Reza Beheshti , Jamal, Nazir, Messner, Hans A., Hedley, David W. , Datti, Alessandro , Wrana, Jeffrey L. , Zhu, Yuanxiao, Shi, Chang-Xin, Tiedemann, Rodger E. , Trudel, Suzanne , Stewart, A. Keith , Schimmer, Aaron D. , Liang, Sheng‐Ben , Wang, Xiaoming , Lee, Kyle

Mayo Clinic

Blood | May 24, 2008 | Volume: 112 | Issue: 3 | Pages: 760-769

10.1182/blood-2008-02-142687 | PMID 18502826 Get It

AbstractD-cyclins are regulators of cell division that act in a complex with cyclin-dependent kinases to commit cells to a program of DNA replication. D-cyclins are overexpressed in many tumors, including multiple myeloma and leukemia, and contribute to disease progression and chemoresistance. To better understand the role and impact of D-cyclins in hematologic malignancies, we conducted a high throughput screen for inhibitors of the cyclin D2 promoter and identified the drug cyproheptadine. In myeloma and leukemia cells, cyproheptadine decreased expression of cyclins D1, D2, and D3 and arrested these cells in the G0/G1 phase. After D-cyclin suppression, cyproheptadine induced apoptosis in myeloma and leukemia cell lines and primary patient samples preferentially over normal hematopoietic cells. In mouse models of myeloma and leukemia, cyproheptadine inhibited tumor growth without significant toxicity. Cyproheptadine-induced apoptosis was preceded by activation of the mitochondrial pathway of caspase activation and was independent of the drug's known activity as an H1 histamine and serotonin receptor antagonist. Thus, cyproheptadine represents a lead for a novel therapeutic agent for the treatment of malignancy. Because the drug is well tolerated and already approved in multiple countries for clinical use as an antihistamine and appetite stimulant, it could be moved directly into clinical trials for cancer.
Bile Acid Exposure Up-regulates Tuberous Sclerosis Complex 1/Mammalian Target of Rapamycin Pathway in Barrett's-Associated Esophageal Adenocarcinoma
Yen, Chia-Jui , Izzo, Julie, Lee, Dung‐Fang , Guha, Sushovan , Wei, Yongkun , Wu, Tsung‐Teh, Kuo, Hsu-Ping, Hsu, Jung-Mao , Sun, Hui-Lung, Chou, Chao‐Kai , Buttar, Navtej , Wang, Kenneth K. , Huang, Peng , Hung, Mien‐Chie , Chen, Chun‐Te , Kuo, Hsu-Ping, Ajani, Jaffer A.

Mayo Clinic

Cancer Research | April 15, 2008 | Volume: 68 | Issue: 8 | Pages: 2632-2640

10.1158/0008-5472.can-07-5460 | PMID 18413730 Get It

Abstract Barrett's esophagus, a columnar metaplasia of the lower esophagus epithelium related to gastroesophageal reflux disease, is the strongest known risk factor for the development of esophageal adenocarcinoma (EAC). Understanding the signal transduction events involved in esophageal epithelium carcinogenesis may provide insights into the origins of EAC and may suggest new therapies. To elucidate the molecular pathways of bile acid–induced tumorigenesis, the newly identified inflammation-associated signaling pathway involving IκB kinases β (IKKβ), tuberous sclerosis complex 1 (TSC1), and mammalian target of rapamycin (mTOR) downstream effector S6 kinase (S6K1) was confirmed to be activated in immortalized Barrett's CPC-A and CPC-C cells and esophageal cancer SEG-1 and BE3 cells. Phosphorylation of TSC1 and S6K1 was induced in response to bile acid stimulation. Treatment of these cells with the mTOR inhibitor rapamycin or the IKKβ inhibitor Bay 11-7082 suppressed bile acid–induced cell proliferation and anchorage-independent growth. We next used an orthotopic rat model to evaluate the role of bile acid in the progression of Barrett's esophagus to EAC. Of interest, we found high expression of phosphorylated IKKβ (pIKKβ) and phosphorylated S6K1 (pS6K1) in tumor tissues and the Barrett's epithelium compared with normal epithelium. Furthermore, immunostaining of clinical EAC tissue specimens revealed that pIKKβ expression was strongly correlated with pS6K1 level. Together, these results show that bile acid can deregulate TSC1/mTOR through IKKβ signaling, which may play a critical role in EAC progression. In addition, Bay 11-7082 and rapamycin may potentially be chemopreventive drugs against Barrett's esophagus–associated EAC. [Cancer Res 2008;68(8):2632–40]
Computer-Aided Design, Manufacturing, and Modeling of Polymer Scaffolds for Tissue Engineering
Stone, J.J., Thoreson, Andrew R. , Langner, Kurt L., Norton, Jay M., Stone, D.J. , Wang, Francis W., O’Driscoll, Shawn W. , An, Kai‐Nan , Langner, Kurtis L., Fitzsimmons, James S

Mayo Clinic

Manufacturing Engineering and Materials Handling, Parts A and B | April 3, 2008 | Volume: No volume available | Issue: No issue available | Pages: 169-174

10.1115/imece2005-81621 Get It

A custom computer-controlled rapid prototyping system was designed and developed in this research. This system for bio-manufacturing of polymer scaffolds included 3D motion control components, a nozzle, a pressure controller, and a temperature-controlled reservoir containing a biomaterial. Heating elements built into the reservoir melted the biomaterial. The pressure line attached to the reservoir provided a controllable force that extruded the polymer biomaterial through the nozzle and deposited the polymer biomaterial onto a platform to fabricate scaffolds. A low pressure (830 KPa) system was designed and fabricated to accommodate different temperatures, motion speeds, and viscosities of polymer biomaterials. The reservoir with the nozzle was mounted to servo motor-controlled linear x-y motion devices along with a third servo motor-controlled device that controlled the z-position of the platform. Poly(ε-caprolactone) [PCL] was used to fabricate scaffolds with designed structure that were used in cell and tissue regeneration studies. 3D computer-aided design (CAD) with Pro-Engineer and computational finite element analysis (FEA) programs with MSC_Patran and MSC_Marc were used to model scaffold designs with appropriate architecture and material selection. The CAD models were used in FEA to develop new methods for determining mechanical properties of tissue scaffolds of desired structure and geometry. FEA models were validated by mechanical testing and other published results. Technology developed in this research has potential for the advancement of bio-manufacturing, and design optimization of scaffolds for tissue engineering.
Signatures Associated with Rejection or Recurrence in HER-2/ neu –Positive Mammary Tumors
Worschech, Andrea, Knutson, Keith L. , Szalay, Aladar A., Wang, Ena , Marincola, Francesco M. , Kmieciak, Maciej , Knutson, Keith L. , Bear, Harry D. , Manjili, Masoud H.

Mayo Clinic

Cancer Research | April 1, 2008 | Volume: 68 | Issue: 7 | Pages: 2436-2446

10.1158/0008-5472.can-07-6822 | PMID 18381452 Get It

Abstract We have previously shown T-cell–mediated rejection of the neu-overexpressing mammary carcinoma cells (MMC) in wild-type FVB mice. However, following rejection of primary tumors, a fraction of animals experienced a recurrence of a neu antigen-negative variant (ANV) of MMC (tumor evasion model) after a long latency period. In the present study, we determined that T cells derived from wild-type FVB mice can specifically recognize MMC by secreting IFN-γ and can induce apoptosis of MMC in vitro. Neu transgenic (FVBN202) mice develop spontaneous tumors and cannot reject it (tumor tolerance model). To dissect the mechanisms associated with rejection or tolerance of MMC tumors, we compared transcriptional patterns within the tumor microenvironment of MMC undergoing rejection with those that resisted it either because of tumor evasion/antigen loss recurrence (ANV tumors) or because of intrinsic tolerance mechanisms displayed by the transgenic mice. Gene profiling confirmed that immune rejection is primarily mediated through activation of IFN-stimulated genes and T-cell effector mechanisms. The tumor evasion model showed combined activation of Th1 and Th2 with a deviation toward Th2 and humoral immune responses that failed to achieve rejection likely because of lack of target antigen. Interestingly, the tumor tolerance model instead displayed immune suppression pathways through activation of regulatory mechanisms that included in particular the overexpression of interleukin-10 (IL-10), IL-10 receptor, and suppressor of cytokine signaling (SOCS)-1 and SOCS-3. These data provide a road map for the identification of novel biomarkers of immune responsiveness in clinical trials. [Cancer Res 2008;68(7):2436–46]