Literature DB >> 26156741

Metabolomics and transcriptomics identify pathway differences between visceral and subcutaneous adipose tissue in colorectal cancer patients: the ColoCare study.

David B Liesenfeld1, Dmitry Grapov2, Johannes F Fahrmann2, Mariam Salou1, Dominique Scherer1, Reka Toth1, Nina Habermann1, Jürgen Böhm1, Petra Schrotz-King1, Biljana Gigic1, Martin Schneider3, Alexis Ulrich3, Esther Herpel4, Peter Schirmacher5, Oliver Fiehn2, Johanna W Lampe6, Cornelia M Ulrich7.   

Abstract

BACKGROUND: Metabolic and transcriptomic differences between visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) compartments, particularly in the context of obesity, may play a role in colorectal carcinogenesis. We investigated the differential functions of their metabolic compositions.
OBJECTIVES: Biochemical differences between adipose tissues (VAT compared with SAT) in patients with colorectal carcinoma (CRC) were investigated by using mass spectrometry metabolomics and gene expression profiling. Metabolite compositions were compared between VAT, SAT, and serum metabolites. The relation between patients' tumor stage and metabolic profiles was assessed.
DESIGN: Presurgery blood and paired VAT and SAT samples during tumor surgery were obtained from 59 CRC patients (tumor stages I-IV) of the ColoCare cohort. Gas chromatography time-of-flight mass spectrometry and liquid chromatography quadrupole time-of-flight mass spectrometry were used to measure 1065 metabolites in adipose tissue (333 identified compounds) and 1810 metabolites in serum (467 identified compounds). Adipose tissue gene expression was measured by using Illumina's HumanHT-12 Expression BeadChips.
RESULTS: Compared with SAT, VAT displayed elevated markers of inflammatory lipid metabolism, free arachidonic acid, phospholipases (PLA2G10), and prostaglandin synthesis-related enzymes (PTGD/PTGS2S). Plasmalogen concentrations were lower in VAT than in SAT, which was supported by lower gene expression of FAR1, the rate-limiting enzyme for ether-lipid synthesis in VAT. Serum sphingomyelin concentrations were inversely correlated (P = 0.0001) with SAT adipose triglycerides. Logistic regression identified lipids in patients' adipose tissues, which were associated with CRC tumor stage.
CONCLUSIONS: As one of the first studies, we comprehensively assessed differences in metabolic, lipidomic, and transcriptomic profiles between paired human VAT and SAT and their association with CRC tumor stage. We identified markers of inflammation in VAT, which supports prior evidence regarding the role of visceral adiposity and cancer.
© 2015 American Society for Nutrition.

Entities:  

Keywords:  adipose tissue; colorectal cancer; inflammation; metabolomics; obesity; visceral adiposity

Mesh:

Substances:

Year:  2015        PMID: 26156741      PMCID: PMC4515859          DOI: 10.3945/ajcn.114.103804

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  35 in total

Review 1.  Functions of plasmalogen lipids in health and disease.

Authors:  Nancy E Braverman; Ann B Moser
Journal:  Biochim Biophys Acta       Date:  2012-05-22

Review 2.  Review of mass spectrometry-based metabolomics in cancer research.

Authors:  David B Liesenfeld; Nina Habermann; Robert W Owen; Augustin Scalbert; Cornelia M Ulrich
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-10-04       Impact factor: 4.254

3.  Extending the breadth of metabolite profiling by gas chromatography coupled to mass spectrometry.

Authors:  Oliver Fiehn
Journal:  Trends Analyt Chem       Date:  2008-03       Impact factor: 12.296

4.  Adipose tissue fatty acid composition and colon cancer: a case-control study.

Authors:  A Giuliani; F Ferrara; M Scimò; F Angelico; L Olivieri; L Basso
Journal:  Eur J Nutr       Date:  2013-11-01       Impact factor: 5.614

Review 5.  Plasmalogens the neglected regulatory and scavenging lipid species.

Authors:  Stefan Wallner; Gerd Schmitz
Journal:  Chem Phys Lipids       Date:  2011-06-21       Impact factor: 3.329

6.  Serum metabolomics as a novel diagnostic approach for gastrointestinal cancer.

Authors:  Atsuki Ikeda; Shin Nishiumi; Masakazu Shinohara; Tomoo Yoshie; Naoya Hatano; Tatsuya Okuno; Takeshi Bamba; Eiichiro Fukusaki; Tadaomi Takenawa; Takeshi Azuma; Masaru Yoshida
Journal:  Biomed Chromatogr       Date:  2011-07-20       Impact factor: 1.902

Review 7.  The effects of obesity and obesity-related conditions on colorectal cancer prognosis.

Authors:  Erin M Siegel; Cornelia M Ulrich; Elizabeth M Poole; Rebecca S Holmes; Paul B Jacobsen; David Shibata
Journal:  Cancer Control       Date:  2010-01       Impact factor: 3.302

8.  Lipid extraction by methyl-tert-butyl ether for high-throughput lipidomics.

Authors:  Vitali Matyash; Gerhard Liebisch; Teymuras V Kurzchalia; Andrej Shevchenko; Dominik Schwudke
Journal:  J Lipid Res       Date:  2008-02-16       Impact factor: 5.922

9.  Association of obesity and overweight with overall survival in colorectal cancer patients: a meta-analysis of 29 studies.

Authors:  Shuangjie Wu; Jun Liu; Xinhai Wang; Mengjun Li; Yu Gan; Yifan Tang
Journal:  Cancer Causes Control       Date:  2014-07-29       Impact factor: 2.506

10.  The Reactome pathway knowledgebase.

Authors:  David Croft; Antonio Fabregat Mundo; Robin Haw; Marija Milacic; Joel Weiser; Guanming Wu; Michael Caudy; Phani Garapati; Marc Gillespie; Maulik R Kamdar; Bijay Jassal; Steven Jupe; Lisa Matthews; Bruce May; Stanislav Palatnik; Karen Rothfels; Veronica Shamovsky; Heeyeon Song; Mark Williams; Ewan Birney; Henning Hermjakob; Lincoln Stein; Peter D'Eustachio
Journal:  Nucleic Acids Res       Date:  2013-11-15       Impact factor: 16.971

View more
  52 in total

1.  Risk factors for cancer-related distress in colorectal cancer survivors: one year post surgery.

Authors:  Claire J Han; Biljana Gigic; Martin Schneider; Yakup Kulu; Anita R Peoples; Jennifer Ose; Torsten Kölsch; Paul B Jacobsen; Graham A Colditz; Jane C Figueiredo; William M Grady; Christopher I Li; David Shibata; Erin M Siegel; Adetunji T Toriola; Alexis B Ulrich; Karen L Syrjala; Cornelia M Ulrich
Journal:  J Cancer Surviv       Date:  2020-03-12       Impact factor: 4.442

2.  Prediction of Circulating Adipokine Levels Based on Body Fat Compartments and Adipose Tissue Gene Expression.

Authors:  Stefan Konigorski; Jürgen Janke; Dagmar Drogan; Manuela M Bergmann; Johannes Hierholzer; Rudolf Kaaks; Heiner Boeing; Tobias Pischon
Journal:  Obes Facts       Date:  2019-11-07       Impact factor: 3.942

3.  One-carbon metabolites, B vitamins and associations with systemic inflammation and angiogenesis biomarkers among colorectal cancer patients: results from the ColoCare Study.

Authors:  Cornelia M Ulrich; Mary Playdon; Rama Kiblawi; Andreana N Holowatyj; Biljana Gigic; Stefanie Brezina; Anne J M R Geijsen; Jennifer Ose; Tengda Lin; Sheetal Hardikar; Caroline Himbert; Christy A Warby; Jürgen Böhm; Martijn J L Bours; Fränzel J B van Duijnhoven; Tanja Gumpenberger; Dieuwertje E Kok; Janna L Koole; Eline H van Roekel; Petra Schrotz-King; Arve Ulvik; Andrea Gsur; Nina Habermann; Matty P Weijenberg; Per Magne Ueland; Martin Schneider; Alexis Ulrich
Journal:  Br J Nutr       Date:  2020-02-05       Impact factor: 3.718

4.  The Association of Abdominal Adiposity With Mortality in Patients With Stage I-III Colorectal Cancer.

Authors:  Justin C Brown; Bette J Caan; Carla M Prado; Elizabeth M Cespedes Feliciano; Jingjie Xiao; Candyce H Kroenke; Jeffrey A Meyerhardt
Journal:  J Natl Cancer Inst       Date:  2020-04-01       Impact factor: 13.506

Review 5.  Obesity and Energy Balance in GI Cancer.

Authors:  Justin C Brown; Jeffrey A Meyerhardt
Journal:  J Clin Oncol       Date:  2016-11-07       Impact factor: 44.544

6.  The ColoCare Study: A Paradigm of Transdisciplinary Science in Colorectal Cancer Outcomes.

Authors:  Cornelia M Ulrich; Biljana Gigic; Graham A Colditz; Jane C Figueiredo; William M Grady; Christopher I Li; David Shibata; Erin M Siegel; Adetunji T Toriola; Alexis Ulrich; Jürgen Böhm; Jennifer Ose; Richard Viskochil; Martin Schneider
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2018-12-06       Impact factor: 4.254

7.  Distinct Molecular Phenotype of Sporadic Colorectal Cancers Among Young Patients Based on Multiomics Analysis.

Authors:  Andreana N Holowatyj; Biljana Gigic; Esther Herpel; Augustin Scalbert; Martin Schneider; Cornelia M Ulrich
Journal:  Gastroenterology       Date:  2019-11-13       Impact factor: 22.682

Review 8.  Signals from the Adipose Microenvironment and the Obesity-Cancer Link-A Systematic Review.

Authors:  Caroline Himbert; Mahmoud Delphan; Dominique Scherer; Laura W Bowers; Stephen Hursting; Cornelia M Ulrich
Journal:  Cancer Prev Res (Phila)       Date:  2017-09

9.  Comparison of Collection Methods for Fecal Samples for Discovery Metabolomics in Epidemiologic Studies.

Authors:  Erikka Loftfield; Emily Vogtmann; Joshua N Sampson; Steven C Moore; Heidi Nelson; Rob Knight; Nicholas Chia; Rashmi Sinha
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-08-19       Impact factor: 4.254

Review 10.  Integrating bioinformatics approaches for a comprehensive interpretation of metabolomics datasets.

Authors:  Dinesh Kumar Barupal; Sili Fan; Oliver Fiehn
Journal:  Curr Opin Biotechnol       Date:  2018-02-06       Impact factor: 9.740

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.