Literature DB >> 3681141

Abnormal cholesterol metabolism in renal clear cell carcinoma.

R L Gebhard1, R V Clayman, W F Prigge, R Figenshau, N A Staley, C Reesey, A Bear.   

Abstract

The clear cell form of renal cell carcinoma is known to derive its histologic appearance from accumulations of glycogen and lipid. We have found that the most consistently stored lipid form is cholesteryl ester. Clear cell cancer tissue contained 8-fold more total cholesterol and 35-fold more esterified cholesterol than found in normal kidney. Cholesteryl ester appeared to be formed intracellularly since it was not membrane-bound and since oleate was the predominant form, as opposed to linoleate in lipoprotein cholesteryl esters. The cholesterol in clear cell tumors did not appear to be a result of excessive synthesis from acetate since HMG-CoA reductase (EC 1.1.1.34) activity was lower in cancer tissue than in normal kidney (2.9 +/- 0.8 vs. 7.2 +/- 1.2 pmol/mg of protein per min). In contrast, intracellular activity of fatty acyl-coenzyme A:cholesterol acyl transferase (ACAT, EC 2.3.1.26) was higher in tumor tissue than in normal kidney (2405 +/- 546 vs. 1326 +/- 301 pmol/mg of protein per 20 min) while cytosolic cholesteryl ester hydrolase activity appeared normal. Cholesteryl ester storage in clear cell renal cancer may be a result of a primary abnormality in ACAT activity or it may be a result of reduced release of free cholesterol (relative to cell content) with a secondary elevation in ACAT activity.

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Year:  1987        PMID: 3681141

Source DB:  PubMed          Journal:  J Lipid Res        ISSN: 0022-2275            Impact factor:   5.922


  66 in total

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Authors:  Sabrina Uda; Simonetta Accossu; Stefano Spolitu; Maria Collu; Fabrizio Angius; Francesca Sanna; Sebastiano Banni; Claudia Vacca; Elisabetta Murru; Claudia Mulas; Giacomo Diaz; Barbara Batetta
Journal:  Tumour Biol       Date:  2011-12-10

2.  Oral acetylsalicylic acid induces biliary cholesterol secretion in the rat.

Authors:  W F Prigge; R L Gebhard
Journal:  Lipids       Date:  1997-07       Impact factor: 1.880

3.  Direct electrospray ionization mass spectrometric profiling of real-world samples via a solid sampling probe.

Authors:  Zhan Yu; Lee Chuin Chen; Mridul Kanti Mandal; Kentaro Yoshimura; Sen Takeda; Kenzo Hiraoka
Journal:  J Am Soc Mass Spectrom       Date:  2013-07-27       Impact factor: 3.109

4.  Role of cholesterol synthesis and esterification in the growth of CEM and MOLT4 lymphoblastic cells.

Authors:  S Dessi; B Batetta; A Pani; O Spano; F Sanna; M Putzolu; R Bonatesta; S Piras; P Pani
Journal:  Biochem J       Date:  1997-02-01       Impact factor: 3.857

5.  Unclassified renal cell carcinoma: a clinicopathological, comparative genomic hybridization, and whole-genome exon sequencing study.

Authors:  Zhen-Yan Hu; Li-Juan Pang; Yan Qi; Xue-Ling Kang; Jian-Ming Hu; Lianghai Wang; Kun-Peng Liu; Yuan Ren; Mei Cui; Li-Li Song; Hong-An Li; Hong Zou; Feng Li
Journal:  Int J Clin Exp Pathol       Date:  2014-06-15

Review 6.  Metabolic reprogramming in clear cell renal cell carcinoma.

Authors:  Hiromi I Wettersten; Omran Abu Aboud; Primo N Lara; Robert H Weiss
Journal:  Nat Rev Nephrol       Date:  2017-05-08       Impact factor: 28.314

7.  Distribution of polyunsaturated fatty acids including conjugated linoleic acids in total and subcellular fractions from healthy and cancerous parts of human kidneys.

Authors:  Kristina Hoffmann; Jörg Blaudszun; Claus Brunken; Wilhelm-Wolfgang Höpker; Roland Tauber; Hans Steinhart
Journal:  Lipids       Date:  2005-03       Impact factor: 1.880

8.  Cholesterol esters as growth regulators of lymphocytic leukaemia cells.

Authors:  M F Mulas; C Abete; D Pulisci; A Pani; B Massidda; S Dessì; A Mandas
Journal:  Cell Prolif       Date:  2011-06-06       Impact factor: 6.831

9.  Activation of HIF2α in kidney proximal tubule cells causes abnormal glycogen deposition but not tumorigenesis.

Authors:  Leiping Fu; Gang Wang; Maria M Shevchuk; David M Nanus; Lorraine J Gudas
Journal:  Cancer Res       Date:  2013-02-27       Impact factor: 12.701

10.  Optimized GC-MS metabolomics for the analysis of kidney tissue metabolites.

Authors:  Biswapriya B Misra; Ram P Upadhayay; Laura A Cox; Michael Olivier
Journal:  Metabolomics       Date:  2018-05-25       Impact factor: 4.290

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