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Pancreatic Neoplasms: HELP
Articles by Wenming Xiao
Based on 3 articles published since 2010
(Why 3 articles?)
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Between 2010 and 2020, Wenming Xiao wrote the following 3 articles about Pancreatic Neoplasms.
 
+ Citations + Abstracts
1 Article Characterising 2018

Zhang, Mingfeng / Lykke-Andersen, Soren / Zhu, Bin / Xiao, Wenming / Hoskins, Jason W / Zhang, Xijun / Rost, Lauren M / Collins, Irene / Bunt, Martijn van de / Jia, Jinping / Parikh, Hemang / Zhang, Tongwu / Song, Lei / Jermusyk, Ashley / Chung, Charles C / Zhu, Bin / Zhou, Weiyin / Matters, Gail L / Kurtz, Robert C / Yeager, Meredith / Jensen, Torben Heick / Brown, Kevin M / Ongen, Halit / Bamlet, William R / Murray, Bradley A / McCarthy, Mark I / Chanock, Stephen J / Chatterjee, Nilanjan / Wolpin, Brian M / Smith, Jill P / Olson, Sara H / Petersen, Gloria M / Shi, Jianxin / Amundadottir, Laufey. ·Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland, USA. · Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark. · Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland, USA. · Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland, USA. · Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, FDA, Jefferson, Missouri, USA. · Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc, Frederick, Maryland, USA. · Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK. · Oxford Centre for Diabetes, Endocrinology & Metabolism, University of Oxford, Oxford, UK. · Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA. · Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA. · Department of Medicine, Memorial Sloan Kettering Cancer Center, New York City, New York, USA. · Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland. · Department of Health Sciences Research, Division of Epidemiology, Mayo Clinic, Rochester, Minnesota, USA. · The Eli and Edythe L Broad Institute of Massachusetts Institute of Technology and Harvard University Cambridge, Cambridge, Massachusetts, USA. · Oxford NIHR Biomedical Research Centre, Churchill Hospital, Headington, Oxford, UK. · Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA. · Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA. · Division of Gastroenterology and Hepatology, Georgetown University Hospital, Washington, D.C., USA. · Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, New York, USA. ·Gut · Pubmed #28634199.

ABSTRACT: OBJECTIVE: To elucidate the genetic architecture of gene expression in pancreatic tissues. DESIGN: We performed expression quantitative trait locus (eQTL) analysis in histologically normal pancreatic tissue samples (n=95) using RNA sequencing and the corresponding 1000 genomes imputed germline genotypes. Data from pancreatic tumour-derived tissue samples (n=115) from The Cancer Genome Atlas were included for comparison. RESULTS: We identified 38 615 CONCLUSIONS: We have identified

2 Article Transcriptome analysis of pancreatic cancer reveals a tumor suppressor function for HNF1A. 2014

Hoskins, Jason W / Jia, Jinping / Flandez, Marta / Parikh, Hemang / Xiao, Wenming / Collins, Irene / Emmanuel, Mickey A / Ibrahim, Abdisamad / Powell, John / Zhang, Lizhi / Malats, Nuria / Bamlet, William R / Petersen, Gloria M / Real, Francisco X / Amundadottir, Laufey T. ·Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA, Epithelial Carcinogenesis Group, CNIO-Spanish National Cancer Research Centre, E-28029 Madrid, Spain, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute and Bioinformatics and Molecular Analysis Section, Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, MD 20892, USA, Department of Laboratory Medicine and Pathology and Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA and Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, 08003 Barcelona, Spain. · Epithelial Carcinogenesis Group, CNIO-Spanish National Cancer Research Centre, E-28029 Madrid, Spain. · Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute and. · Bioinformatics and Molecular Analysis Section, Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, MD 20892, USA. · Department of Laboratory Medicine and Pathology and. · Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA and. · Epithelial Carcinogenesis Group, CNIO-Spanish National Cancer Research Centre, E-28029 Madrid, Spain, Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, 08003 Barcelona, Spain. · Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA, Epithelial Carcinogenesis Group, CNIO-Spanish National Cancer Research Centre, E-28029 Madrid, Spain, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute and Bioinformatics and Molecular Analysis Section, Division of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, MD 20892, USA, Department of Laboratory Medicine and Pathology and Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA and Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, 08003 Barcelona, Spain amundadottirl@mail.nih.gov. ·Carcinogenesis · Pubmed #25233928.

ABSTRACT: Pancreatic ductal adenocarcinoma (PDAC) is driven by the accumulation of somatic mutations, epigenetic modifications and changes in the micro-environment. New approaches to investigating disruptions of gene expression networks promise to uncover key regulators and pathways in carcinogenesis. We performed messenger RNA-sequencing in pancreatic normal (n = 10) and tumor (n = 8) derived tissue samples, as well as in pancreatic cancer cell lines (n = 9), to determine differential gene expression (DE) patterns. Sub-network enrichment analyses identified HNF1A as the regulator of the most significantly and consistently dysregulated expression sub-network in pancreatic tumor tissues and cells (median P = 7.56×10(-7), median rank = 1, range = 1-25). To explore the effects of HNF1A expression in pancreatic tumor-derived cells, we generated stable HNF1A-inducible clones in two pancreatic cancer cell lines (PANC-1 and MIA PaCa-2) and observed growth inhibition (5.3-fold, P = 4.5×10(-5) for MIA PaCa-2 clones; 7.2-fold, P = 2.2×10(-5) for PANC-1 clones), and a G0/G1 cell cycle arrest and apoptosis upon induction. These effects correlated with HNF1A-induced down-regulation of 51 of 84 cell cycle genes (e.g. E2F1, CDK2, CDK4, MCM2/3/4/5, SKP2 and CCND1), decreased expression of anti-apoptotic genes (e.g. BIRC2/5/6 and AKT) and increased expression of pro-apoptotic genes (e.g. CASP4/9/10 and APAF1). In light of the established role of HNF1A in the regulation of pancreatic development and homeostasis, our data suggest that it also functions as an important tumor suppressor in the pancreas.

3 Article An integrated transcriptome and epigenome analysis identifies a novel candidate gene for pancreatic cancer. 2013

Jia, Jinping / Parikh, Hemang / Xiao, Wenming / Hoskins, Jason W / Pflicke, Holger / Liu, Xuelu / Collins, Irene / Zhou, Weiyin / Wang, Zhaoming / Powell, John / Thorgeirsson, Snorri S / Rudloff, Udo / Petersen, Gloria M / Amundadottir, Laufey T. ·Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. amundadottirl@mail.nih.gov. ·BMC Med Genomics · Pubmed #24053169.

ABSTRACT: BACKGROUND: Pancreatic cancer is a highly lethal cancer with limited diagnostic and therapeutic modalities. METHODS: To begin to explore the genomic landscape of pancreatic cancer, we used massively parallel sequencing to catalog and compare transcribed regions and potential regulatory elements in two human cell lines derived from normal and cancerous pancreas. RESULTS: By RNA-sequencing, we identified 2,146 differentially expressed genes in these cell lines that were enriched in cancer related pathways and biological processes that include cell adhesion, growth factor and receptor activity, signaling, transcription and differentiation. Our high throughput Chromatin immunoprecipitation (ChIP) sequence analysis furthermore identified over 100,000 regions enriched in epigenetic marks, showing either positive (H3K4me1, H3K4me3, RNA Pol II) or negative (H3K27me3) correlation with gene expression. Notably, an overall enrichment of RNA Pol II binding and depletion of H3K27me3 binding were seen in the cancer derived cell line as compared to the normal derived cell line. By selecting genes for further assessment based on this difference, we confirmed enhanced expression of aldehyde dehydrogenase 1A3 (ALDH1A3) in two larger sets of pancreatic cancer cell lines and in tumor tissues as compared to normal derived tissues. CONCLUSIONS: As aldehyde dehydrogenase (ALDH) activity is a key feature of cancer stem cells, our results indicate that a member of the ALDH superfamily, ALDH1A3, may be upregulated in pancreatic cancer, where it could mark pancreatic cancer stem cells.