BRAF Cooperates with CDX2 Inactivation to Promote Serrated
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Analyse Genetischer Stabilität in Den Nachkommen Bestrahlter Zellen Mittels Klassischer Chromosomenbänderung Und Verschiedener Hochdurchsatz-Techniken
Analyse genetischer Stabilität in den Nachkommen bestrahlter Zellen mittels klassischer Chromosomenbänderung und verschiedener Hochdurchsatz-Techniken Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Julius-Maximilians-Universität Würzburg vorgelegt von Julia Flunkert geboren in Schwerte Würzburg, 2018 Eingereicht am: …………………………………………….................... Mitglieder der Promotionskommission: Vorsitzender: Gutachter: Univ.-Prof. Dr. med. Thomas Haaf Gutachter: Univ.-Prof. Dr. Thomas Dandekar Tag des Promotionskolloquiums: ……………………….................. Doktorurkunde ausgehändigt am: ………………………................. Eidesstattliche Versicherung Die vorliegende Arbeit wurde von November 2014 bis September 2018 am Institut für Humangenetik der Universität Würzburg unter Betreuung von Herrn Univ.-Prof. Dr. med. Thomas Haaf angefertigt. Hiermit erkläre ich an Eides statt, die Dissertation: „Analyse genetischer Stabilität in den Nachkommen bestrahlter Zellen mittels klassischer Chromosomenbänderung und verschiedener Hochdurchsatz-Techniken“, eigenständig, d. h. insbesondere selbständig und ohne Hilfe eines kommerziellen Promotionsberaters, angefertigt und keine anderen, als die von mir angegebenen Quellen und Hilfsmittel verwendet zu haben. Ich erkläre außerdem, dass die Dissertation weder in gleicher noch in ähnlicher Form bereits in einem anderen Prüfungsverfahren vorgelegen hat. Weiterhin erkläre ich, dass bei allen Abbildungen und Texten bei denen die Verwer- tungsrechte (Copyright) nicht bei mir liegen, diese von den Rechtsinhabern -
Chemoprevention with Cyclooxygenase and Epidermal Growth Factor Receptor Inhibitors in Familial Adenomatous Polyposis Patients
Published OnlineFirst November 6, 2017; DOI: 10.1158/1940-6207.CAPR-17-0130 Research Article Cancer Prevention Research Chemoprevention with Cyclooxygenase and Epidermal Growth Factor Receptor Inhibitors in Familial Adenomatous Polyposis Patients: mRNA Signatures of Duodenal Neoplasia Don A. Delker1, Austin C. Wood2, Angela K. Snow2, N. Jewel Samadder1,2, Wade S. Samowitz2,3, Kajsa E. Affolter2,3, Kenneth M. Boucher1,2, Lisa M. Pappas2, Inge J. Stijleman2, Priyanka Kanth1, Kathryn R. Byrne1, Randall W. Burt1,2, Philip S. Bernard2,3, and Deborah W. Neklason1,2 Abstract To identify gene expression biomarkers and pathways tar- pared with paired baseline normal for patients on placebo geted by sulindac and erlotinib given in a chemoprevention and drug show that pathways activated in polyp growth and trial with a significant decrease in duodenal polyp burden at proliferation are blocked by this drug combination. Directly 6months(P < 0.001) in familial adenomatous polyposis comparing polyp gene expression between patients on drug (FAP) patients, we biopsied normal and polyp duodenal and placebo also identified innate immune response genes tissuesfrompatientsondrugversusplaceboandanalyzed (IL12 and IFNg) preferentially expressed in patients on drug. the RNA expression. RNA sequencing was performed on Gene expression analyses from tissue obtained at endpoint of biopsies from the duodenum of FAP patients obtained at the trial demonstrated inhibition of the cancer pathways baseline and 6-month endpoint endoscopy. Ten FAP patients COX2/PGE2, EGFR, and WNT. These findings provide molec- on placebo and 10 on sulindac and erlotinib were selected for ular evidence that the drug combination of sulindac and analysis. Purity of biopsied polyp tissue was calculated from erlotinib reached the intended tissue and was on target for RNA expression data. -
Prospective Isolation of NKX2-1–Expressing Human Lung Progenitors Derived from Pluripotent Stem Cells
The Journal of Clinical Investigation RESEARCH ARTICLE Prospective isolation of NKX2-1–expressing human lung progenitors derived from pluripotent stem cells Finn Hawkins,1,2 Philipp Kramer,3 Anjali Jacob,1,2 Ian Driver,4 Dylan C. Thomas,1 Katherine B. McCauley,1,2 Nicholas Skvir,1 Ana M. Crane,3 Anita A. Kurmann,1,5 Anthony N. Hollenberg,5 Sinead Nguyen,1 Brandon G. Wong,6 Ahmad S. Khalil,6,7 Sarah X.L. Huang,3,8 Susan Guttentag,9 Jason R. Rock,4 John M. Shannon,10 Brian R. Davis,3 and Darrell N. Kotton1,2 2 1Center for Regenerative Medicine, and The Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA. 3Center for Stem Cell and Regenerative Medicine, Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center, Houston, Texas, USA. 4Department of Anatomy, UCSF, San Francisco, California, USA. 5Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA. 6Department of Biomedical Engineering and Biological Design Center, Boston University, Boston, Massachusetts, USA. 7Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts, USA. 8Columbia Center for Translational Immunology & Columbia Center for Human Development, Columbia University Medical Center, New York, New York, USA. 9Department of Pediatrics, Monroe Carell Jr. Children’s Hospital, Vanderbilt University, Nashville, Tennessee, USA. 10Division of Pulmonary Biology, Cincinnati Children’s Hospital, Cincinnati, Ohio, USA. It has been postulated that during human fetal development, all cells of the lung epithelium derive from embryonic, endodermal, NK2 homeobox 1–expressing (NKX2-1+) precursor cells. -
Supplementary Information Integrative Analyses of Splicing in the Aging Brain: Role in Susceptibility to Alzheimer’S Disease
Supplementary Information Integrative analyses of splicing in the aging brain: role in susceptibility to Alzheimer’s Disease Contents 1. Supplementary Notes 1.1. Religious Orders Study and Memory and Aging Project 1.2. Mount Sinai Brain Bank Alzheimer’s Disease 1.3. CommonMind Consortium 1.4. Data Availability 2. Supplementary Tables 3. Supplementary Figures Note: Supplementary Tables are provided as separate Excel files. 1. Supplementary Notes 1.1. Religious Orders Study and Memory and Aging Project Gene expression data1. Gene expression data were generated using RNA- sequencing from Dorsolateral Prefrontal Cortex (DLPFC) of 540 individuals, at an average sequence depth of 90M reads. Detailed description of data generation and processing was previously described2 (Mostafavi, Gaiteri et al., under review). Samples were submitted to the Broad Institute’s Genomics Platform for transcriptome analysis following the dUTP protocol with Poly(A) selection developed by Levin and colleagues3. All samples were chosen to pass two initial quality filters: RNA integrity (RIN) score >5 and quantity threshold of 5 ug (and were selected from a larger set of 724 samples). Sequencing was performed on the Illumina HiSeq with 101bp paired-end reads and achieved coverage of 150M reads of the first 12 samples. These 12 samples will serve as a deep coverage reference and included 2 males and 2 females of nonimpaired, mild cognitive impaired, and Alzheimer's cases. The remaining samples were sequenced with target coverage of 50M reads; the mean coverage for the samples passing QC is 95 million reads (median 90 million reads). The libraries were constructed and pooled according to the RIN scores such that similar RIN scores would be pooled together. -
Reciprocal Regulation of TEAD4 and CCN2 for the Trophectoderm Development of the Bovine Blastocyst
155 6 REPRODUCTIONRESEARCH Reciprocal regulation of TEAD4 and CCN2 for the trophectoderm development of the bovine blastocyst Hiroki Akizawa1,2, Ken Kobayashi3, Hanako Bai1, Masashi Takahashi1, Shinjiro Kagawa1, Hiroaki Nagatomo1,† and Manabu Kawahara1 1Laboratory of Animal Genetics and Reproduction, Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan, 2Japan Society for the Promotion of Science (JSPS Research Fellow), Tokyo, Japan and 3Laboratory of Cell and Tissue Biology, Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan Correspondence should be addressed to M Kawahara; Email: [email protected] †(Hiroaki Nagatomo is now at Department of Biotechnology, Faculty of Life and Environmental Science, University of Yamanashi, Kofu, Japan) Abstract The first segregation at the blastocyst stage is the symmetry-breaking event to characterize two cell components; namely, inner cell mass (ICM) and trophectoderm (TE). TEA domain transcription factor 4 (TEAD4) is a well-known regulator to determine TE properties of blastomeres in rodent models. However, the roles of bovine TEAD4 in blastocyst development have been unclear. We here aimed to clarify the mechanisms underlining TE characterization by TEAD4 in bovine blastocysts. We first found that the TEAD4 mRNA expression level was greater in TE than in ICM, which was further supported by TEAD4 immunofluorescent staining. Subsequently, we examined the expression patterns of TE-expressed genes; CDX2, GATA2 and CCN2, in the TEAD4-knockdown (KD) blastocysts. These expression levels significantly decreased in the TEAD4 KD blastocysts compared with controls. Of these downregulated genes, the CCN2 expression level decreased the most. We further analyzed the expression levels of TE-expressed genes; CDX2, GATA2 and TEAD4 in the CCN2 KD blastocysts. -
Distinguishing Pleiotropy from Linked QTL Between Milk Production Traits
Cai et al. Genet Sel Evol (2020) 52:19 https://doi.org/10.1186/s12711-020-00538-6 Genetics Selection Evolution RESEARCH ARTICLE Open Access Distinguishing pleiotropy from linked QTL between milk production traits and mastitis resistance in Nordic Holstein cattle Zexi Cai1*†, Magdalena Dusza2†, Bernt Guldbrandtsen1, Mogens Sandø Lund1 and Goutam Sahana1 Abstract Background: Production and health traits are central in cattle breeding. Advances in next-generation sequencing technologies and genotype imputation have increased the resolution of gene mapping based on genome-wide association studies (GWAS). Thus, numerous candidate genes that afect milk yield, milk composition, and mastitis resistance in dairy cattle are reported in the literature. Efect-bearing variants often afect multiple traits. Because the detection of overlapping quantitative trait loci (QTL) regions from single-trait GWAS is too inaccurate and subjective, multi-trait analysis is a better approach to detect pleiotropic efects of variants in candidate genes. However, large sample sizes are required to achieve sufcient power. Multi-trait meta-analysis is one approach to deal with this prob- lem. Thus, we performed two multi-trait meta-analyses, one for three milk production traits (milk yield, protein yield and fat yield), and one for milk yield and mastitis resistance. Results: For highly correlated traits, the power to detect pleiotropy was increased by multi-trait meta-analysis com- pared with the subjective assessment of overlapping of single-trait QTL confdence intervals. Pleiotropic efects of lead single nucleotide polymorphisms (SNPs) that were detected from the multi-trait meta-analysis were confrmed by bivariate association analysis. The previously reported pleiotropic efects of variants within the DGAT1 and MGST1 genes on three milk production traits, and pleiotropic efects of variants in GHR on milk yield and fat yield were con- frmed. -
Supplementary Table 3 Complete List of RNA-Sequencing Analysis of Gene Expression Changed by ≥ Tenfold Between Xenograft and Cells Cultured in 10%O2
Supplementary Table 3 Complete list of RNA-Sequencing analysis of gene expression changed by ≥ tenfold between xenograft and cells cultured in 10%O2 Expr Log2 Ratio Symbol Entrez Gene Name (culture/xenograft) -7.182 PGM5 phosphoglucomutase 5 -6.883 GPBAR1 G protein-coupled bile acid receptor 1 -6.683 CPVL carboxypeptidase, vitellogenic like -6.398 MTMR9LP myotubularin related protein 9-like, pseudogene -6.131 SCN7A sodium voltage-gated channel alpha subunit 7 -6.115 POPDC2 popeye domain containing 2 -6.014 LGI1 leucine rich glioma inactivated 1 -5.86 SCN1A sodium voltage-gated channel alpha subunit 1 -5.713 C6 complement C6 -5.365 ANGPTL1 angiopoietin like 1 -5.327 TNN tenascin N -5.228 DHRS2 dehydrogenase/reductase 2 leucine rich repeat and fibronectin type III domain -5.115 LRFN2 containing 2 -5.076 FOXO6 forkhead box O6 -5.035 ETNPPL ethanolamine-phosphate phospho-lyase -4.993 MYO15A myosin XVA -4.972 IGF1 insulin like growth factor 1 -4.956 DLG2 discs large MAGUK scaffold protein 2 -4.86 SCML4 sex comb on midleg like 4 (Drosophila) Src homology 2 domain containing transforming -4.816 SHD protein D -4.764 PLP1 proteolipid protein 1 -4.764 TSPAN32 tetraspanin 32 -4.713 N4BP3 NEDD4 binding protein 3 -4.705 MYOC myocilin -4.646 CLEC3B C-type lectin domain family 3 member B -4.646 C7 complement C7 -4.62 TGM2 transglutaminase 2 -4.562 COL9A1 collagen type IX alpha 1 chain -4.55 SOSTDC1 sclerostin domain containing 1 -4.55 OGN osteoglycin -4.505 DAPL1 death associated protein like 1 -4.491 C10orf105 chromosome 10 open reading frame 105 -4.491 -
Network Assessment of Demethylation Treatment in Melanoma: Differential Transcriptome-Methylome and Antigen Profile Signatures
RESEARCH ARTICLE Network assessment of demethylation treatment in melanoma: Differential transcriptome-methylome and antigen profile signatures Zhijie Jiang1☯, Caterina Cinti2☯, Monia Taranta2, Elisabetta Mattioli3,4, Elisa Schena3,5, Sakshi Singh2, Rimpi Khurana1, Giovanna Lattanzi3,4, Nicholas F. Tsinoremas1,6, 1 Enrico CapobiancoID * a1111111111 1 Center for Computational Science, University of Miami, Miami, FL, United States of America, 2 Institute of Clinical Physiology, CNR, Siena, Italy, 3 CNR Institute of Molecular Genetics, Bologna, Italy, 4 IRCCS Rizzoli a1111111111 Orthopedic Institute, Bologna, Italy, 5 Endocrinology Unit, Department of Medical & Surgical Sciences, Alma a1111111111 Mater Studiorum University of Bologna, S Orsola-Malpighi Hospital, Bologna, Italy, 6 Department of a1111111111 Medicine, University of Miami, Miami, FL, United States of America a1111111111 ☯ These authors contributed equally to this work. * [email protected] OPEN ACCESS Abstract Citation: Jiang Z, Cinti C, Taranta M, Mattioli E, Schena E, Singh S, et al. (2018) Network assessment of demethylation treatment in Background melanoma: Differential transcriptome-methylome and antigen profile signatures. PLoS ONE 13(11): In melanoma, like in other cancers, both genetic alterations and epigenetic underlie the met- e0206686. https://doi.org/10.1371/journal. astatic process. These effects are usually measured by changes in both methylome and pone.0206686 transcriptome profiles, whose cross-correlation remains uncertain. We aimed to assess at Editor: Roger Chammas, Universidade de Sao systems scale the significance of epigenetic treatment in melanoma cells with different met- Paulo, BRAZIL astatic potential. Received: June 20, 2018 Accepted: October 17, 2018 Methods and findings Published: November 28, 2018 Treatment by DAC demethylation with 5-Aza-2'-deoxycytidine of two melanoma cell lines Copyright: © 2018 Jiang et al. -
Supplemental Table 1. Complete Gene Lists and GO Terms from Figure 3C
Supplemental Table 1. Complete gene lists and GO terms from Figure 3C. Path 1 Genes: RP11-34P13.15, RP4-758J18.10, VWA1, CHD5, AZIN2, FOXO6, RP11-403I13.8, ARHGAP30, RGS4, LRRN2, RASSF5, SERTAD4, GJC2, RHOU, REEP1, FOXI3, SH3RF3, COL4A4, ZDHHC23, FGFR3, PPP2R2C, CTD-2031P19.4, RNF182, GRM4, PRR15, DGKI, CHMP4C, CALB1, SPAG1, KLF4, ENG, RET, GDF10, ADAMTS14, SPOCK2, MBL1P, ADAM8, LRP4-AS1, CARNS1, DGAT2, CRYAB, AP000783.1, OPCML, PLEKHG6, GDF3, EMP1, RASSF9, FAM101A, STON2, GREM1, ACTC1, CORO2B, FURIN, WFIKKN1, BAIAP3, TMC5, HS3ST4, ZFHX3, NLRP1, RASD1, CACNG4, EMILIN2, L3MBTL4, KLHL14, HMSD, RP11-849I19.1, SALL3, GADD45B, KANK3, CTC- 526N19.1, ZNF888, MMP9, BMP7, PIK3IP1, MCHR1, SYTL5, CAMK2N1, PINK1, ID3, PTPRU, MANEAL, MCOLN3, LRRC8C, NTNG1, KCNC4, RP11, 430C7.5, C1orf95, ID2-AS1, ID2, GDF7, KCNG3, RGPD8, PSD4, CCDC74B, BMPR2, KAT2B, LINC00693, ZNF654, FILIP1L, SH3TC1, CPEB2, NPFFR2, TRPC3, RP11-752L20.3, FAM198B, TLL1, CDH9, PDZD2, CHSY3, GALNT10, FOXQ1, ATXN1, ID4, COL11A2, CNR1, GTF2IP4, FZD1, PAX5, RP11-35N6.1, UNC5B, NKX1-2, FAM196A, EBF3, PRRG4, LRP4, SYT7, PLBD1, GRASP, ALX1, HIP1R, LPAR6, SLITRK6, C16orf89, RP11-491F9.1, MMP2, B3GNT9, NXPH3, TNRC6C-AS1, LDLRAD4, NOL4, SMAD7, HCN2, PDE4A, KANK2, SAMD1, EXOC3L2, IL11, EMILIN3, KCNB1, DOK5, EEF1A2, A4GALT, ADGRG2, ELF4, ABCD1 Term Count % PValue Genes regulation of pathway-restricted GDF3, SMAD7, GDF7, BMPR2, GDF10, GREM1, BMP7, LDLRAD4, SMAD protein phosphorylation 9 6.34 1.31E-08 ENG pathway-restricted SMAD protein GDF3, SMAD7, GDF7, BMPR2, GDF10, GREM1, BMP7, LDLRAD4, phosphorylation -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
Regulation of the Tumor Suppressor Homeogene Cdx2 by Hnf4a in Intestinal Cancer
Oncogene (2013) 32, 3782–3788 & 2013 Macmillan Publishers Limited All rights reserved 0950-9232/13 www.nature.com/onc SHORT COMMUNICATION Regulation of the tumor suppressor homeogene Cdx2 by HNF4a in intestinal cancer T Saandi1,2, F Baraille3,4,5, L Derbal-Wolfrom1,2, A-L Cattin3,4,5, F Benahmed1,6, E Martin1,2, P Cardot3,4,5, B Duclos1,2,7, A Ribeiro3,4,5, J-N Freund1,2,8 and I Duluc1,2,8 The gut-specific homeotic transcription factor Cdx2 is a crucial regulator of intestinal development and homeostasis, which is downregulated in colorectal cancers (CRC) and exhibits a tumor suppressor function in the colon. We have previously established that several endodermal transcription factors, including HNF4a and GATA6, are involved in Cdx2 regulation in the normal gut. Here we have studied the role of HNF4a in the mechanism of deregulation of Cdx2 in colon cancers. Crossing ApcD14/ þ mice prone to spontaneous intestinal tumor development with pCdx2-9LacZ transgenic mice containing the LacZ reporter under the control of the 9.3-kb Cdx2 promoter showed that this promoter segment contains sequences recapitulating the decrease of Cdx2 expression in intestinal cancers. Immunohistochemistry revealed that HNF4a, unlike GATA6, exhibited a similar decrease to Cdx2 in genetic (Apcmin/ þ and ApcD14/ þ ) and chemically induced (Azoxymethane (AOM) treatment) models of intestinal tumors in mice. HNF4a and Cdx2 also exhibited a comparable deregulated pattern in human CRC. Correlated patterns were observed between HNF4a and Cdx2 in several experimental models of human colon cancer cell lines: xenografts in nude mice, wound healing and glucose starvation.