Literature DB >> 32827762

Ether lipid and sphingolipid expression patterns are estrogen receptor-dependently altered in breast cancer cells.

Lisa Hahnefeld1, Lisa Gruber1, Nina Schömel1, Caroline Fischer1, Peter Mattjus2, Robert Gurke3, Martina Beretta4, Nerea Ferreirós1, Gerd Geisslinger3, Marthe-Susanna Wegner5.   

Abstract

Identifying co-expression of lipid species is challenging, but indispensable to identify novel therapeutic targets for breast cancer treatment. Lipid metabolism is often dysregulated in cancer cells, and changes in lipid metabolism affect cellular processes such as proliferation, autophagy, and tumor development. In addition to mRNA analysis of sphingolipid metabolizing enzymes, we performed liquid chromatography time-of-flight mass spectrometry analysis in three breast cancer cell lines. These breast cancer cell lines differ in estrogen receptor and G-protein coupled estrogen receptor 1 status. Our data show that sphingolipids and non-sphingolipids are strongly increased in SKBr3 cells. SKBr3 cells are estrogen receptor negative and G-protein coupled estrogen receptor 1 positive. Treatment with G15, a G-protein coupled estrogen receptor 1 antagonist, abolishes the effect of increased sphingolipid and non-sphingolipid levels in SKBr3 cells. In particular, ether lipids are expressed at much higher levels in cancer compared to normal cells and are strongly increased in SKBr3 cells. Our analysis reveals that this is accompanied by increased sphingolipid levels such as ceramide, sphingadiene-ceramide and sphingomyelin. This shows the importance of focusing on more than one lipid class when investigating molecular mechanisms in breast cancer cells. Our analysis allows unbiased screening for different lipid classes leading to identification of co-expression patterns of lipids in the context of breast cancer. Co-expression of different lipid classes could influence tumorigenic potential of breast cancer cells. Identification of co-regulated lipid species is important to achieve improved breast cancer treatment outcome.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  AGMO; AGPS; Ether lipids; GPER1; Sphingolipids

Mesh:

Substances:

Year:  2020        PMID: 32827762     DOI: 10.1016/j.biocel.2020.105834

Source DB:  PubMed          Journal:  Int J Biochem Cell Biol        ISSN: 1357-2725            Impact factor:   5.085


  7 in total

1.  Analysis of the Expression and Prognostic Potential of a Novel Metabolic Regulator ANGPTL8/Betatrophin in Human Cancers.

Authors:  Fangfang Xu; Dandan Tian; Xiaoyang Shi; Kai Sun; Yuqing Chen
Journal:  Pathol Oncol Res       Date:  2021-09-27       Impact factor: 3.201

2.  Mass Spectrometry and Computer Simulation Predict the Interactions of AGPS and HNRNPK in Glioma.

Authors:  Wei Zhou; Ying Liu; Honglian Li; Zhaoyu Song; Ying Ma; Yu Zhu
Journal:  Biomed Res Int       Date:  2021-09-28       Impact factor: 3.411

Review 3.  Sex Differences in Cardiovascular Diseases: A Matter of Estrogens, Ceramides, and Sphingosine 1-Phosphate.

Authors:  Beatrice Arosio; Graziamaria Corbi; Sergio Davinelli; Vienna Giordano; Daniela Liccardo; Antonio Rapacciuolo; Alessandro Cannavo
Journal:  Int J Mol Sci       Date:  2022-04-04       Impact factor: 5.923

4.  Determination of Breast Metabolic Phenotypes and Their Associations With Immunotherapy and Drug-Targeted Therapy: Analysis of Single-Cell and Bulk Sequences.

Authors:  Ming Bai; Chen Sun
Journal:  Front Cell Dev Biol       Date:  2022-02-14

5.  'On the Spot' Digital Pathology of Breast Cancer Based on Single-Cell Mass Spectrometry Imaging.

Authors:  Eva Cuypers; Britt S R Claes; Rianne Biemans; Natasja G Lieuwes; Kristine Glunde; Ludwig Dubois; Ron M A Heeren
Journal:  Anal Chem       Date:  2022-04-12       Impact factor: 8.008

6.  Novel lipometabolism biomarker for chemotherapy and immunotherapy response in breast cancer.

Authors:  Lei Zhang; Risheng She; Jianlin Zhu; Jin Lu; Yuan Gao; Wenhua Song; Songwang Cai; Lu Wang
Journal:  BMC Cancer       Date:  2022-10-01       Impact factor: 4.638

7.  Metabolomic Profiling of Blood-Derived Microvesicles in Breast Cancer Patients.

Authors:  Judith Buentzel; Henry Gerd Klemp; Ralph Kraetzner; Matthias Schulz; Gry Helene Dihazi; Frank Streit; Annalen Bleckmann; Kerstin Menck; Darius Wlochowitz; Claudia Binder
Journal:  Int J Mol Sci       Date:  2021-12-17       Impact factor: 5.923

  7 in total

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