Literature DB >> 27557538

Tissue-Based Metabolomics to Analyze the Breast Cancer Metabolome.

Jan Budczies1, Carsten Denkert2.   

Abstract

Mass spectrometry and nuclear magnetic resonance-based metabolomics have been developed into mature technologies that can be utilized to analyze hundreds of biological samples in a high-throughput manner. Over the past few years, both technologies were utilized to analyze large cohorts of fresh frozen breast cancer tissues. Metabolite biomarkers were shown to separate breast cancer tissues from normal breast tissues with high sensitivity and specificity. Furthermore, the metabolome differed between hormone receptor positive (HR+) and hormone receptor negative (HR-) breast cancer, but was unchanged in HER2+ tumors compared to HER2- tumors. New metabolism-related biomarkers were discovered including the 4-aminobutyrate aminotransferase ABAT, where low mRNA expression led to an accumulation of beta-alanine and shortened relapse-free survival. The glutamate-to-glutamine ratio (GGR) represents another new biomarker that was increased in 88 % of HR- tumors and 56 % of HR+ tumors compared to normal breast tissues. The GGR might help to stratify patients for the treatment with specific glutaminase inhibitors that were recently developed and are currently being tested in phase I clinical studies. Surprisingly, 2-hydroxyglutarate (2-HG), initially found to accumulate in isocitrate dehydrogenase (IDH) mutated gliomas and leukemias and described as an oncometabolite, was detected to be drastically increased in several breast carcinomas in the absence of IDH mutations. In summary, metabolomics analysis of breast cancer tissues is a reliable method and has produced many new biological insights that may impact breast cancer diagnostics and treatment over the coming years.

Entities:  

Keywords:  2-hydroxyglutarate; Beta-alanin; Breast cancer; Cancer metabolomics; Glutamate-to-glutamine ratio

Mesh:

Substances:

Year:  2016        PMID: 27557538     DOI: 10.1007/978-3-319-42118-6_7

Source DB:  PubMed          Journal:  Recent Results Cancer Res        ISSN: 0080-0015


  12 in total

Review 1.  [Metabolome analysis of solid tumors].

Authors:  J Budczies
Journal:  Pathologe       Date:  2016-11       Impact factor: 1.011

2.  Investigation of altered urinary metabolomic profiles of invasive ductal carcinoma of breast using targeted and untargeted approaches.

Authors:  Tushar H More; Ravindra Taware; Khushman Taunk; Venkatesh Chanukuppa; Venkateshwarlu Naik; Anupama Mane; Srikanth Rapole
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Review 3.  Application of metabolomics in sarcoma: From biomarkers to therapeutic targets.

Authors:  Li Min; Edwin Choy; Chongqi Tu; Francis Hornicek; Zhenfeng Duan
Journal:  Crit Rev Oncol Hematol       Date:  2017-05-13       Impact factor: 6.312

Review 4.  Metabolomics in pancreatic cancer biomarkers research.

Authors:  Jaroslav Tumas; Kotryna Kvederaviciute; Marius Petrulionis; Benediktas Kurlinkus; Arnas Rimkus; Greta Sakalauskaite; Jonas Cicenas; Audrius Sileikis
Journal:  Med Oncol       Date:  2016-11-02       Impact factor: 3.064

Review 5.  Epigenetic dynamics in cancer stem cell dormancy.

Authors:  Alejandra I Ferrer; Jonathan R Trinidad; Oleta Sandiford; Jean-Pierre Etchegaray; Pranela Rameshwar
Journal:  Cancer Metastasis Rev       Date:  2020-09       Impact factor: 9.264

Review 6.  A Metabolomic Approach to Predict Breast Cancer Behavior and Chemotherapy Response.

Authors:  Marcella Regina Cardoso; Juliana Carvalho Santos; Marcelo Lima Ribeiro; Maria Cecília Ramiro Talarico; Lais Rosa Viana; Sophie Françoise Mauricette Derchain
Journal:  Int J Mol Sci       Date:  2018-02-21       Impact factor: 5.923

7.  Identification of Key Genes and Pathways in Triple-Negative Breast Cancer by Integrated Bioinformatics Analysis.

Authors:  Pengzhi Dong; Bing Yu; Lanlan Pan; Xiaoxuan Tian; Fangfang Liu
Journal:  Biomed Res Int       Date:  2018-08-02       Impact factor: 3.411

8.  Metabonomic Variation of Exopolysaccharide from Rhizopus nigricans on AOM/DSS-Induced Colorectal Cancer in Mice.

Authors:  Yan Lu; Jiayue Wang; Yueshan Ji; Kaoshan Chen
Journal:  Onco Targets Ther       Date:  2019-11-20       Impact factor: 4.147

9.  Loss of ABAT-Mediated GABAergic System Promotes Basal-Like Breast Cancer Progression by Activating Ca2+-NFAT1 Axis.

Authors:  Xingyu Chen; Qianhua Cao; Ruocen Liao; Xuebiao Wu; Shining Xun; Jian Huang; Chenfang Dong
Journal:  Theranostics       Date:  2019-01-01       Impact factor: 11.556

Review 10.  Current Understanding of Methamphetamine-Associated Metabolic Changes Revealed by the Metabolomics Approach.

Authors:  Minjeong Kim; Won-Jun Jang; Rupa Shakya; Boyeon Choi; Chul-Ho Jeong; Sooyeun Lee
Journal:  Metabolites       Date:  2019-09-20
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