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Luo D, Yang J, Liu J, Yong X, Wang Z. Identification of four novel hub genes as monitoring biomarkers for colorectal cancer. Hereditas 2022; 159:11. [PMID: 35093172 PMCID: PMC8801129 DOI: 10.1186/s41065-021-00216-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 11/29/2021] [Indexed: 11/30/2022] Open
Abstract
Background It must be admitted that the incidence of colorectal cancer (CRC) was on the rise all over the world, but the related treatment had not caught up. Further research on the underlying pathogenesis of CRC was conducive to improving the survival status of current CRC patients. Methods Differentially expressed genes (DEGs) screening were conducted based on “limma” and “RobustRankAggreg” package of R software. Weighted gene co-expression network analysis (WGCNA) was performed in the integrated DEGs that from The Cancer Genome Atlas (TCGA), and all samples of validation were from Gene Expression Omnlbus (GEO) dataset. Results The terms obtained in the functional annotation for primary DEGs indicated that they were associated with CRC. The MEyellow stand out whereby showed the significant correlation with clinical feature (disease), and 4 hub genes, including ABCC13, AMPD1, SCNN1B and TMIGD1, were identified in yellow module. Nine datasets from Gene Expression Omnibus database confirmed these four genes were significantly down-regulated and the survival estimates for the low-expression group of these genes were lower than for the high-expression group in Kaplan-Meier survival analysis section. MEXPRESS suggested that down-regulation of some top hub genes may be caused by hypermethylation. Receiver operating characteristic curves indicated that these genes had certain diagnostic efficacy. Moreover, tumor-infiltrating immune cells and gene set enrichment analysis for hub genes suggested that there were some associations between these genes and the pathogenesis of CRC. Conclusion This study identified modules that were significantly associated with CRC, four novel hub genes, and further analysis of these genes. This may provide a little new insights and directions into the potential pathogenesis of CRC. Supplementary Information The online version contains supplementary material available at 10.1186/s41065-021-00216-7.
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Comprehensive Analysis of Prognostic Value and Immune Infiltration of the NT5DC Family in Hepatocellular Carcinoma. JOURNAL OF ONCOLOGY 2022; 2022:2607878. [PMID: 35047040 PMCID: PMC8763557 DOI: 10.1155/2022/2607878] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 12/15/2021] [Indexed: 12/05/2022]
Abstract
Background Hepatocellular carcinoma (HCC) is one of the most common malignant tumors in the world, and its incidence is obviously increasing. The NT5DC family has been shown to be involved in the progression of many tumors. However, the biological function of NT5DC family members in HCC is still not well understood. Methods Oncomine, Gene Expression Profiling Interactive Analysis (GEPIA), UALCAN, Kaplan–Meier plotter, cBioPortal, GeneMANIA, Metascape, and TIMER were applied to assess the biological function of NT5DC family members in HCC. Results Most of the NT5DC family members were highly expressed in HCC. High expression of NT5C2, NT5DC2, and NT5DC3 was closely associated with higher tumor stage and poor overall survival (OS). In addition, high NT5DC2 and NT5DC3 expression also predicted poor disease-free survival (DFS). Enrichment analysis revealed that the NT5DC family in HCC mainly involved the IMP metabolic process, purine ribonucleoside monophosphate metabolic process, and purine nucleoside monophosphate metabolic process. The expression of NT5DC family members was closely related to the infiltration of some immune cells, such as B cells, CD8+ T cells, CD4+ T cells, macrophages, neutrophils, and dendritic cells. Conclusion Our findings provided new insights into the biological function and prognostic value of NT5DC family members in HCC.
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Adedokun B, Du Z, Gao G, Ahearn TU, Lunetta KL, Zirpoli G, Figueroa J, John EM, Bernstein L, Zheng W, Hu JJ, Ziegler RG, Nyante S, Bandera EV, Ingles SA, Press MF, Deming-Halverson SL, Rodriguez-Gil JL, Yao S, Ogundiran TO, Ojengbede O, Blot W, Troester MA, Nathanson KL, Hennis A, Nemesure B, Ambs S, Fiorica PN, Sucheston-Campbell LE, Bensen JT, Kushi LH, Torres-Mejia G, Hu D, Fejerman L, Bolla MK, Dennis J, Dunning AM, Easton DF, Michailidou K, Pharoah PDP, Wang Q, Sandler DP, Taylor JA, O'Brien KM, Kitahara CM, Falusi AG, Babalola C, Yarney J, Awuah B, Addai-Wiafe B, Chanock SJ, Olshan AF, Ambrosone CB, Conti DV, Ziv E, Olopade OI, Garcia-Closas M, Palmer JR, Haiman CA, Huo D. Cross-ancestry GWAS meta-analysis identifies six breast cancer loci in African and European ancestry women. Nat Commun 2021; 12:4198. [PMID: 34234117 PMCID: PMC8263739 DOI: 10.1038/s41467-021-24327-x] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 06/02/2021] [Indexed: 02/06/2023] Open
Abstract
Our study describes breast cancer risk loci using a cross-ancestry GWAS approach. We first identify variants that are associated with breast cancer at P < 0.05 from African ancestry GWAS meta-analysis (9241 cases and 10193 controls), then meta-analyze with European ancestry GWAS data (122977 cases and 105974 controls) from the Breast Cancer Association Consortium. The approach identifies four loci for overall breast cancer risk [1p13.3, 5q31.1, 15q24 (two independent signals), and 15q26.3] and two loci for estrogen receptor-negative disease (1q41 and 7q11.23) at genome-wide significance. Four of the index single nucleotide polymorphisms (SNPs) lie within introns of genes (KCNK2, C5orf56, SCAMP2, and SIN3A) and the other index SNPs are located close to GSTM4, AMPD2, CASTOR2, and RP11-168G16.2. Here we present risk loci with consistent direction of associations in African and European descendants. The study suggests that replication across multiple ancestry populations can help improve the understanding of breast cancer genetics and identify causal variants.
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Affiliation(s)
- Babatunde Adedokun
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Zhaohui Du
- Department of Preventative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Guimin Gao
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Thomas U Ahearn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Gary Zirpoli
- Slone Epidemiology Center, Boston University, Boston, MA, USA
| | - Jonine Figueroa
- Usher Institute and CRUK Edinburgh Centre, University of Edinburgh, Edinburgh, UK
| | - Esther M John
- Departments of Epidemiology & Population Health and of Medicine (Oncology) and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Leslie Bernstein
- Biomarkers of Early Detection and Prevention, Department of Population Sciences, Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN, USA
| | - Jennifer J Hu
- Department of Public Health Sciences, University of Miami, Miami, FL, USA
| | - Regina G Ziegler
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Sarah Nyante
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
| | - Elisa V Bandera
- Cancer Prevention and Control Program, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Sue A Ingles
- Department of Preventative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Michael F Press
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sandra L Deming-Halverson
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN, USA
| | - Jorge L Rodriguez-Gil
- Genomics, Development and Disease Section, Genetic Disease Research Branch, National Human Genome Research Institute, NIH, Bethesda, MD, USA
| | - Song Yao
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Temidayo O Ogundiran
- Department of Surgery, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Oladosu Ojengbede
- Center for Population and Reproductive Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - William Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN, USA
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Katherine L Nathanson
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Anselm Hennis
- University of the West Indies, Bridgetown, Barbados
- Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Barbara Nemesure
- Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, National Cancer Institute, Bethesda, MD, USA
| | - Peter N Fiorica
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Lara E Sucheston-Campbell
- Department of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH, USA
| | - Jeannette T Bensen
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Lawrence H Kushi
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Gabriela Torres-Mejia
- Center for Population Health Research, Instituto Nacional de Salud Publica, Cuernavaca, Mexico
| | - Donglei Hu
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Laura Fejerman
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Kyriaki Michailidou
- Biostatistics Unit, The Cyprus Institute of Neurology & Genetics, Nicosia, Cyprus
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Katie M O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Adeyinka G Falusi
- Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Oyo, Nigeria
| | - Chinedum Babalola
- Department of Pharmaceutical Chemistry, University of Ibadan, Ibadan, Oyo, Nigeria
| | | | | | | | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Christine B Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - David V Conti
- Department of Preventative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Elad Ziv
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Olufunmilayo I Olopade
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, University of Chicago, Chicago, IL, USA
| | | | - Julie R Palmer
- Slone Epidemiology Center, Boston University, Boston, MA, USA
| | - Christopher A Haiman
- Department of Preventative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
| | - Dezheng Huo
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, University of Chicago, Chicago, IL, USA.
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA.
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Gao QZ, Qin Y, Wang WJ, Fei BJ, Han WF, Jin JQ, Gao X. Overexpression of AMPD2 indicates poor prognosis in colorectal cancer patients via the Notch3 signaling pathway. World J Clin Cases 2020; 8:3197-3208. [PMID: 32874974 PMCID: PMC7441253 DOI: 10.12998/wjcc.v8.i15.3197] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 05/26/2020] [Accepted: 07/14/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND AMPD2 is a critical enzyme catalyzing smooth muscle energy supply and metabolism; however, its cellular biological function and clinical implication in colorectal cancer (CRC) are largely unknown.
AIM To clarify the role of AMPD2 in CRC and study the pathway and prognostic value of its role.
METHODS AMPD2 expression was analyzed by integrated bioinformatics analysis based on TCGA data sets and immunohistochemistry in tissue microarrays, and the correlation between AMPD2 expression and clinicopathological parameters, Notch3 expression, and prognostic features was assessed. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis were then performed to investigate the regulatory pathway involved. The effects of AMPD2 expression on CRC cells and Notch3 protein expression were investigated by downregulation and overexpression of AMPD2.
RESULTS AMPD2 mRNA was significantly overexpressed in tumor tissue when compared with normal tissue in a cohort of the TCGA-COAD data set. Biological function enrichment analysis indicated that the Notch pathway strongly correlated with AMPD2 expression, and that the expression of Notch3 and JAG2 mRNA was positively associated with AMPD2 in CRC tissues. In vitro, AMPD2 overexpression markedly reduced Notch3 protein expression in CRC cells, while knockdown of AMPD2 showed the opposite findings. In addition, protein expression was significantly up-regulated in our CRC cohort as indicated by tissue microarray analysis. High expression of AMPD2 protein correlated with advanced depth of tumor and poor differentiation. Furthermore, high AMPD2 expression in CRC tissues was an indicator of poor outcome for CRC patients.
CONCLUSION AMPD2 is commonly overexpressed in CRC, and acts as a metabolism oncogene to induce CRC progression through the Notch signaling pathway. Thus, AMPD2 may be a novel prognostic biomarker for CRC.
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Affiliation(s)
- Qi-Zhong Gao
- Department of Gastrocolorectal Surgery, Affiliated Hospital of Jiangnan University, Wuxi 214100, Jiangsu Province, China
| | - Yan Qin
- Department of Pathology, Affiliated Hospital of Jiangnan University, Wuxi 214000, Jiangsu Province, China
| | - Wei-Jia Wang
- Department of Pathology, Affiliated Hospital of Jiangnan University, Wuxi 214000, Jiangsu Province, China
| | - Bo-Jian Fei
- Department of Gastrocolorectal Surgery, Affiliated Hospital of Jiangnan University, Wuxi 214100, Jiangsu Province, China
| | - Wei-Feng Han
- Department of Gastrocolorectal Surgery, Affiliated Hospital of Jiangnan University, Wuxi 214100, Jiangsu Province, China
| | - Jian-Qiang Jin
- Department of Pathology, Affiliated Hospital of Jiangnan University, Wuxi 214000, Jiangsu Province, China
| | - Xiang Gao
- Department of Oncology, Affiliated Hospital of Jiangnan University, Wuxi 214062, Jiangsu Province, China
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Orth MF, Gerke JS, Knösel T, Altendorf-Hofmann A, Musa J, Alba-Rubio R, Stein S, Hölting TLB, Cidre-Aranaz F, Romero-Pérez L, Dallmayer M, Baldauf MC, Marchetto A, Sannino G, Knott MML, Wehweck F, Ohmura S, Li J, Hakozaki M, Kirchner T, Dandekar T, Butt E, Grünewald TGP. Functional genomics identifies AMPD2 as a new prognostic marker for undifferentiated pleomorphic sarcoma. Int J Cancer 2018; 144:859-867. [DOI: 10.1002/ijc.31903] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Accepted: 09/19/2018] [Indexed: 01/08/2023]
Affiliation(s)
- Martin F. Orth
- Max-Eder Research Group for Pediatric Sarcoma Biology; Institute of Pathology, Faculty of Medicine, LMU Munich; Munich Germany
| | - Julia S. Gerke
- Max-Eder Research Group for Pediatric Sarcoma Biology; Institute of Pathology, Faculty of Medicine, LMU Munich; Munich Germany
| | - Thomas Knösel
- Institute of Pathology; Faculty of Medicine, LMU Munich; Munich Germany
| | | | - Julian Musa
- Max-Eder Research Group for Pediatric Sarcoma Biology; Institute of Pathology, Faculty of Medicine, LMU Munich; Munich Germany
| | - Rebeca Alba-Rubio
- Max-Eder Research Group for Pediatric Sarcoma Biology; Institute of Pathology, Faculty of Medicine, LMU Munich; Munich Germany
| | - Stefanie Stein
- Max-Eder Research Group for Pediatric Sarcoma Biology; Institute of Pathology, Faculty of Medicine, LMU Munich; Munich Germany
| | - Tilman L. B. Hölting
- Max-Eder Research Group for Pediatric Sarcoma Biology; Institute of Pathology, Faculty of Medicine, LMU Munich; Munich Germany
| | - Florencia Cidre-Aranaz
- Max-Eder Research Group for Pediatric Sarcoma Biology; Institute of Pathology, Faculty of Medicine, LMU Munich; Munich Germany
| | - Laura Romero-Pérez
- Max-Eder Research Group for Pediatric Sarcoma Biology; Institute of Pathology, Faculty of Medicine, LMU Munich; Munich Germany
| | - Marlene Dallmayer
- Max-Eder Research Group for Pediatric Sarcoma Biology; Institute of Pathology, Faculty of Medicine, LMU Munich; Munich Germany
| | - Michaela C. Baldauf
- Max-Eder Research Group for Pediatric Sarcoma Biology; Institute of Pathology, Faculty of Medicine, LMU Munich; Munich Germany
| | - Aruna Marchetto
- Max-Eder Research Group for Pediatric Sarcoma Biology; Institute of Pathology, Faculty of Medicine, LMU Munich; Munich Germany
| | - Giuseppina Sannino
- Max-Eder Research Group for Pediatric Sarcoma Biology; Institute of Pathology, Faculty of Medicine, LMU Munich; Munich Germany
| | - Maximilian M. L. Knott
- Max-Eder Research Group for Pediatric Sarcoma Biology; Institute of Pathology, Faculty of Medicine, LMU Munich; Munich Germany
- Institute of Pathology; Faculty of Medicine, LMU Munich; Munich Germany
| | - Fabienne Wehweck
- Max-Eder Research Group for Pediatric Sarcoma Biology; Institute of Pathology, Faculty of Medicine, LMU Munich; Munich Germany
- Institute of Pathology; Faculty of Medicine, LMU Munich; Munich Germany
| | - Shunya Ohmura
- Max-Eder Research Group for Pediatric Sarcoma Biology; Institute of Pathology, Faculty of Medicine, LMU Munich; Munich Germany
| | - Jing Li
- Max-Eder Research Group for Pediatric Sarcoma Biology; Institute of Pathology, Faculty of Medicine, LMU Munich; Munich Germany
| | - Michiyuki Hakozaki
- Department of Orthopaedic Surgery; Fukushima Medical University School of Medicine; Fukushima Japan
| | - Thomas Kirchner
- Institute of Pathology; Faculty of Medicine, LMU Munich; Munich Germany
- German Cancer Consortium (DKTK), partner site Munich; Germany
- German Cancer Research Center (DKFZ); Heidelberg Germany
| | - Thomas Dandekar
- Functional Genomics and Systems Biology Group, Department of Bioinformatics, Biocenter; Am Hubland, Würzburg Germany
| | - Elke Butt
- Institute for Experimental Biomedicine II, University Clinic of Würzburg; Würzburg Germany
| | - Thomas G. P. Grünewald
- Max-Eder Research Group for Pediatric Sarcoma Biology; Institute of Pathology, Faculty of Medicine, LMU Munich; Munich Germany
- Institute of Pathology; Faculty of Medicine, LMU Munich; Munich Germany
- German Cancer Consortium (DKTK), partner site Munich; Germany
- German Cancer Research Center (DKFZ); Heidelberg Germany
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6
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Shan L, Kim I. Joint estimation of multiple Gaussian graphical models across unbalanced classes. Comput Stat Data Anal 2018. [DOI: 10.1016/j.csda.2017.11.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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7
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Helmering J, Juan T, Li CM, Chhoa M, Baron W, Gyuris T, Richards WG, Turk JR, Lawrence J, Cosgrove PA, Busby J, Kim KW, Kaufman SA, Cummings C, Carlson G, Véniant MM, Lloyd DJ. A mutation in Ampd2 is associated with nephrotic syndrome and hypercholesterolemia in mice. Lipids Health Dis 2014; 13:167. [PMID: 25361754 PMCID: PMC4232700 DOI: 10.1186/1476-511x-13-167] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2014] [Accepted: 10/22/2014] [Indexed: 11/18/2022] Open
Abstract
Background Previously, we identified three loci affecting HDL-cholesterol levels in a screen for ENU-induced mutations in mice and discovered two mutated genes. We sought to identify the third mutated gene and further characterize the mouse phenotype. Methods We engaged, DNA sequencing, gene expression profiling, western blotting, lipoprotein characterization, metabolomics assessment, histology and electron microscopy in mouse tissues. Results We identify the third gene as Ampd2, a liver isoform of AMP Deaminase (Ampd), a central component of energy and purine metabolism pathways. The causative mutation was a guanine-to-thymine transversion resulting in an A341S conversion in Ampd2. Ampd2 homozygous mutant mice exhibit a labile hypercholesterolemia phenotype, peaking around 9 weeks of age (251 mg/dL vs. wildtype control at 138 mg/dL), and was evidenced by marked increases in HDL, VLDL and LDL. In an attempt to determine the molecular connection between Ampd2 dysfunction and hypercholesterolemia, we analyzed hepatic gene expression and found the downregulation of Ldlr, Hmgcs and Insig1 and upregulation of Cyp7A1 genes. Metabolomic analysis confirmed an increase in hepatic AMP levels and a decrease in allantoin levels consistent with Ampd2 deficiency, and increases in campesterol and β-sitosterol. Additionally, nephrotic syndrome was observed in the mutant mice, through proteinuria, kidney histology and effacement and blebbing of podocyte foot processes by electron microscopy. Conclusion In summary we describe the discovery of a novel genetic mouse model of combined transient nephrotic syndrome and hypercholesterolemia, resembling the human disorder. Electronic supplementary material The online version of this article (doi:10.1186/1476-511X-13-167) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - David J Lloyd
- Department of Metabolic Disorders, Amgen Inc, One Amgen Center Dr, Thousand Oaks, CA 91320, USA.
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Makowski L, Zhou C, Zhong Y, Kuan PF, Fan C, Sampey BP, Difurio M, Bae-Jump VL. Obesity increases tumor aggressiveness in a genetically engineered mouse model of serous ovarian cancer. Gynecol Oncol 2014; 133:90-7. [PMID: 24680597 DOI: 10.1016/j.ygyno.2013.12.026] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2013] [Revised: 12/10/2013] [Accepted: 12/17/2013] [Indexed: 12/30/2022]
Abstract
OBJECTIVES Obesity is associated with increased risk and worse outcomes for ovarian cancer. Thus, we examined the effects of obesity on ovarian cancer progression in a genetically engineered mouse model of serous ovarian cancer. METHODS We utilized a unique serous ovarian cancer mouse model that specifically deletes the tumor suppressor genes, Brca1 and p53, and inactivates the retinoblastoma (Rb) proteins in adult ovarian surface epithelial cells, via injection of an adenoviral vector expressing Cre (AdCre) into the ovarian bursa cavity of adult female mice (KpB mouse model). KpB mice were subjected to a 60% calories-derived from fat in a high fat diet (HFD) versus 10% calories from fat in a low fat diet (LFD) to mimic diet-induced obesity. Tumors were isolated at 6 months after AdCre injection and evaluated histologically. Untargeted metabolomic and gene expression profiling was performed to assess differences in the ovarian tumors from obese versus non-obese KpB mice. RESULTS At sacrifice, mice on the HFD (obese) were twice the weight of mice on the LFD (non-obese) (51g versus 31g, p=0.0003). Ovarian tumors were significantly larger in the obese versus non-obese mice (3.7cm(2) versus 1.2cm(2), p=0.0065). Gene expression and metabolomic profiling indicated statistically significant differences between the ovarian tumors from the obese versus non-obese mice, including metabolically relevant pathways.
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Affiliation(s)
- Liza Makowski
- Department of Nutrition, University of North Carolina, Chapel Hill, NC, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Chunxiao Zhou
- Division of Gynecologic Oncology, University of North Carolina, Chapel Hill, NC, USA
| | - Yan Zhong
- Division of Gynecologic Oncology, University of North Carolina, Chapel Hill, NC, USA
| | - Pei Fen Kuan
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA; Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
| | - Cheng Fan
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | | | - Megan Difurio
- Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Victoria L Bae-Jump
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA; Division of Gynecologic Oncology, University of North Carolina, Chapel Hill, NC, USA.
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Ríos M, Parada-Bustamante A, Velásquez LA, Croxatto HB, Orihuela PA. Participation of the oviductal s100 calcium binding protein G in the genomic effect of estradiol that accelerates oviductal embryo transport in mated rats. Reprod Biol Endocrinol 2011; 9:69. [PMID: 21605449 PMCID: PMC3115850 DOI: 10.1186/1477-7827-9-69] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2011] [Accepted: 05/23/2011] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Mating changes the mechanism by which E2 regulates oviductal egg transport, from a non-genomic to a genomic mode. Previously, we found that E2 increased the expression of several genes in the oviduct of mated rats, but not in unmated rats. Among the transcripts that increased its level by E2 only in mated rats was the one coding for an s100 calcium binding protein G (s100 g) whose functional role in the oviduct is unknown. METHODS Herein, we investigated the participation of s100 g on the E2 genomic effect that accelerates oviductal transport in mated rats. Thus, we determined the effect of E2 on the mRNA and protein level of s100 g in the oviduct of mated and unmated rats. Then, we explored the effect of E2 on egg transport in unmated and mated rats under conditions in which s100 g protein was knockdown in the oviduct by a morpholino oligonucleotide against s100 g (s100 g-MO). In addition, the localization of s100 g in the oviduct of mated and unmated rats following treatment with E2 was also examined. RESULTS Expression of s100 g mRNA progressively increased at 3-24 h after E2 treatment in the oviduct of mated rats while in unmated rats s100 g increased only at 12 and 24 hours. Oviductal s100 g protein increased 6 h following E2 and continued elevated at 12 and 24 h in mated rats, whereas in unmated rats s100 g protein increased at the same time points as its transcript. Administration of a morpholino oligonucleotide against s100 g transcript blocked the effect of E2 on egg transport in mated, but not in unmated rats. Finally, immunoreactivity of s100 g was observed only in epithelial cells of the oviducts of mated and unmated rats and it was unchanged after E2 treatment. CONCLUSIONS Mating affects the kinetic of E2-induced expression of s100 g although it not changed the cellular localization of s100 g in the oviduct after E2 . On the other hand, s100 g is a functional component of E2 genomic effect that accelerates egg transport. These findings show a physiological involvement of s100 g in the rat oviduct.
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Affiliation(s)
- Mariana Ríos
- Unidad de Reproducción y Desarrollo, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Chile
| | - Alexis Parada-Bustamante
- Unidad de Reproducción y Desarrollo, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Chile
| | - Luis A Velásquez
- Laboratorio de Inmunología de la Reproducción, Facultad de Química y Biología, Universidad de Santiago de Chile, Chile
- Centro para el Desarrollo en Nanociencia y Nanotecnología-CEDENNA, Santiago, Chile
| | - Horacio B Croxatto
- Laboratorio de Inmunología de la Reproducción, Facultad de Química y Biología, Universidad de Santiago de Chile, Chile
- Centro para el Desarrollo en Nanociencia y Nanotecnología-CEDENNA, Santiago, Chile
- Millennium Institute for Fundamental and Applied Biology, Santiago, Chile
| | - Pedro A Orihuela
- Laboratorio de Inmunología de la Reproducción, Facultad de Química y Biología, Universidad de Santiago de Chile, Chile
- Centro para el Desarrollo en Nanociencia y Nanotecnología-CEDENNA, Santiago, Chile
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Swieca A, Rybakowska I, Milczarek R, Klimek J, Kaletha K. AMP-Deaminase from Developing Human Placenta. Placenta 2010; 31:460-2. [DOI: 10.1016/j.placenta.2010.02.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2010] [Revised: 02/12/2010] [Accepted: 02/12/2010] [Indexed: 10/19/2022]
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Dongiovanni P, Fracanzani AL, Cairo G, Megazzini CP, Gatti S, Rametta R, Fargion S, Valenti L. Iron-dependent regulation of MDM2 influences p53 activity and hepatic carcinogenesis. THE AMERICAN JOURNAL OF PATHOLOGY 2009. [PMID: 20019189 DOI: 10.2353/amjpath.2010.090249.] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Iron overload is a risk factor for hepatocarcinoma, but the pathways involved are poorly characterized. Gene expression analysis in immortalized mouse hepatocytes exposed to iron or the iron chelator deferoxamine revealed that iron downregulated, whereas deferoxamine upregulated, mRNA levels of mouse double minute gene 2 (MDM2), the ubiquitin ligase involved in the degradation of the oncosuppressor p53. Regulation of MDM2 by iron status was observed at protein levels in mouse hepatocytes and rat liver, and was associated with specular changes in p53 expression. Iron dependent regulation of MDM2/p53 was confirmed ex-vivo in human monocytes, by manipulation of iron pool and in a genetic model of iron deficiency, leading to modulation of p53 target genes involved in the antioxidant response and apoptosis. Iron status influenced p53 ubiquitination and degradation rate, and the MDM2 inhibitor nutlin increased p53 levels in iron-depleted cells. Furthermore, nutlin enhanced the antiproliferative activity of deferoxamine in HepG2 hepatoblastoma cells. The MDM2 -309T > G promoter polymorphism, determining increased MDM2 and lower p53 activity, was associated with higher risk of hepatocarcinoma in cirrhotic patients with hemochromatosis, and with HFE mutations in patients with hepatocarcinoma without hemochromatosis, suggesting an interaction between MDM2 and iron in the pathogenesis of hepatocarcinoma. In conclusion, iron status influences p53 activity and antioxidant response by modulating MDM2 expression. MDM2 inhibitors may enhance the antiproliferative activity of iron chelators.
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Affiliation(s)
- Paola Dongiovanni
- Center of Metabolic and Liver Diseases, Department of Internal Medicine, University of Milano, Ospedale Policlinico Mangiagalli e Regina Elena Fondazione IRCCS, 20122 Milano, Italy
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Dongiovanni P, Fracanzani AL, Cairo G, Megazzini CP, Gatti S, Rametta R, Fargion S, Valenti L. Iron-dependent regulation of MDM2 influences p53 activity and hepatic carcinogenesis. THE AMERICAN JOURNAL OF PATHOLOGY 2009. [PMID: 20019189 DOI: 10.2353/amjpath.2010.090249] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Iron overload is a risk factor for hepatocarcinoma, but the pathways involved are poorly characterized. Gene expression analysis in immortalized mouse hepatocytes exposed to iron or the iron chelator deferoxamine revealed that iron downregulated, whereas deferoxamine upregulated, mRNA levels of mouse double minute gene 2 (MDM2), the ubiquitin ligase involved in the degradation of the oncosuppressor p53. Regulation of MDM2 by iron status was observed at protein levels in mouse hepatocytes and rat liver, and was associated with specular changes in p53 expression. Iron dependent regulation of MDM2/p53 was confirmed ex-vivo in human monocytes, by manipulation of iron pool and in a genetic model of iron deficiency, leading to modulation of p53 target genes involved in the antioxidant response and apoptosis. Iron status influenced p53 ubiquitination and degradation rate, and the MDM2 inhibitor nutlin increased p53 levels in iron-depleted cells. Furthermore, nutlin enhanced the antiproliferative activity of deferoxamine in HepG2 hepatoblastoma cells. The MDM2 -309T > G promoter polymorphism, determining increased MDM2 and lower p53 activity, was associated with higher risk of hepatocarcinoma in cirrhotic patients with hemochromatosis, and with HFE mutations in patients with hepatocarcinoma without hemochromatosis, suggesting an interaction between MDM2 and iron in the pathogenesis of hepatocarcinoma. In conclusion, iron status influences p53 activity and antioxidant response by modulating MDM2 expression. MDM2 inhibitors may enhance the antiproliferative activity of iron chelators.
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Affiliation(s)
- Paola Dongiovanni
- Center of Metabolic and Liver Diseases, Department of Internal Medicine, University of Milano, Ospedale Policlinico Mangiagalli e Regina Elena Fondazione IRCCS, 20122 Milano, Italy
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Dongiovanni P, Fracanzani AL, Cairo G, Megazzini CP, Gatti S, Rametta R, Fargion S, Valenti L. Iron-dependent regulation of MDM2 influences p53 activity and hepatic carcinogenesis. THE AMERICAN JOURNAL OF PATHOLOGY 2009; 176:1006-17. [PMID: 20019189 DOI: 10.2353/ajpath.2010.090249] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Iron overload is a risk factor for hepatocarcinoma, but the pathways involved are poorly characterized. Gene expression analysis in immortalized mouse hepatocytes exposed to iron or the iron chelator deferoxamine revealed that iron downregulated, whereas deferoxamine upregulated, mRNA levels of mouse double minute gene 2 (MDM2), the ubiquitin ligase involved in the degradation of the oncosuppressor p53. Regulation of MDM2 by iron status was observed at protein levels in mouse hepatocytes and rat liver, and was associated with specular changes in p53 expression. Iron dependent regulation of MDM2/p53 was confirmed ex-vivo in human monocytes, by manipulation of iron pool and in a genetic model of iron deficiency, leading to modulation of p53 target genes involved in the antioxidant response and apoptosis. Iron status influenced p53 ubiquitination and degradation rate, and the MDM2 inhibitor nutlin increased p53 levels in iron-depleted cells. Furthermore, nutlin enhanced the antiproliferative activity of deferoxamine in HepG2 hepatoblastoma cells. The MDM2 -309T > G promoter polymorphism, determining increased MDM2 and lower p53 activity, was associated with higher risk of hepatocarcinoma in cirrhotic patients with hemochromatosis, and with HFE mutations in patients with hepatocarcinoma without hemochromatosis, suggesting an interaction between MDM2 and iron in the pathogenesis of hepatocarcinoma. In conclusion, iron status influences p53 activity and antioxidant response by modulating MDM2 expression. MDM2 inhibitors may enhance the antiproliferative activity of iron chelators.
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Affiliation(s)
- Paola Dongiovanni
- Center of Metabolic and Liver Diseases, Department of Internal Medicine, University of Milano, Ospedale Policlinico Mangiagalli e Regina Elena Fondazione IRCCS, 20122 Milano, Italy
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