Literature DB >> 24127940

Identification of biomarkers for apoptosis in cancer cell lines using metabolomics: tools for individualized medicine.

A Halama1, N Riesen, G Möller, M Hrabě de Angelis, J Adamski.   

Abstract

BACKGROUND: Metabolomics is a versatile unbiased method to search for biomarkers of human disease. In particular, one approach in cancer therapy is to promote apoptosis in tumour cells; this could be improved with specific biomarkers of apoptosis for monitoring treatment. We recently observed specific metabolic patterns in apoptotic cell lines; however, in that study, apoptosis was only induced with one pro-apoptotic agent, staurosporine.
OBJECTIVE: The aim of this study was to find novel biomarkers of apoptosis by verifying our previous findings using two further pro-apoptotic agents, 5-fluorouracil and etoposide, that are commonly used in anticancer treatment.
METHODS: Metabolic parameters were assessed in HepG2 and HEK293 cells using the newborn screening assay adapted for cell culture approaches, quantifying the levels of amino acids and acylcarnitines with mass spectrometry.
RESULTS: We were able to identify apoptosis-specific changes in the metabolite profile. Moreover, the amino acids alanine and glutamate were both significantly up-regulated in apoptotic HepG2 and HEK293 cells irrespective of the apoptosis inducer.
CONCLUSION: Our observations clearly indicate the potential of metabolomics in detecting metabolic biomarkers applicable in theranostics and for monitoring drug efficacy.
© 2013 The Association for the Publication of the Journal of Internal Medicine.

Entities:  

Keywords:  apoptosis; biomarkers; cancer; mass spectrometry; metabolomics

Mesh:

Substances:

Year:  2013        PMID: 24127940     DOI: 10.1111/joim.12117

Source DB:  PubMed          Journal:  J Intern Med        ISSN: 0954-6820            Impact factor:   8.989


  25 in total

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Authors:  Lingli Deng; Haiwei Gu; Jiangjiang Zhu; G A Nagana Gowda; Danijel Djukovic; E Gabriela Chiorean; Daniel Raftery
Journal:  Anal Chem       Date:  2016-08-01       Impact factor: 6.986

2.  Metabolomics identifies the intersection of phosphoethanolamine with menaquinone-triggered apoptosis in an in vitro model of leukemia.

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Review 3.  Experimental design and reporting standards for metabolomics studies of mammalian cell lines.

Authors:  Sarah Hayton; Garth L Maker; Ian Mullaney; Robert D Trengove
Journal:  Cell Mol Life Sci       Date:  2017-07-01       Impact factor: 9.261

4.  Differential diagnosis between hepatocellular carcinoma and cirrhosis by serum amino acids and acylcarnitines.

Authors:  Yong Zhang; Nan Ding; Yunfeng Cao; Zhitu Zhu; Peng Gao
Journal:  Int J Clin Exp Pathol       Date:  2018-03-01

5.  Distinct Metabolic Signature of Human Bladder Cancer Cells Carrying an Impaired Fanconi Anemia Tumor-Suppressor Signaling Pathway.

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6.  Globally Optimized Targeted Mass Spectrometry: Reliable Metabolomics Analysis with Broad Coverage.

Authors:  Haiwei Gu; Ping Zhang; Jiangjiang Zhu; Daniel Raftery
Journal:  Anal Chem       Date:  2015-12-02       Impact factor: 6.986

7.  Decoding the metabolic landscape of pathophysiological stress-induced cell death in anucleate red blood cells.

Authors:  Travis Nemkov; Syed M Qadri; William P Sheffield; Angelo D'Alessandro
Journal:  Blood Transfus       Date:  2020-02-28       Impact factor: 3.443

8.  Effect of hypoxia factors gene silencing on ROS production and metabolic status of A375 malignant melanoma cells.

Authors:  Ivana Špaková; Miroslava Rabajdová; Helena Mičková; Wolfgang F Graier; Mária Mareková
Journal:  Sci Rep       Date:  2021-05-14       Impact factor: 4.996

9.  Perioperative dynamics and significance of amino acid profiles in patients with cancer.

Authors:  Yu Gu; Tianxiang Chen; Suzhen Fu; Xin Sun; Lingyan Wang; Jian Wang; Yingfeng Lu; Songming Ding; Guodong Ruan; Lisong Teng; Min Wang
Journal:  J Transl Med       Date:  2015-01-27       Impact factor: 5.531

10.  Metabolic signatures differentiate ovarian from colon cancer cell lines.

Authors:  Anna Halama; Bella S Guerrouahen; Jennifer Pasquier; Ilhem Diboun; Edward D Karoly; Karsten Suhre; Arash Rafii
Journal:  J Transl Med       Date:  2015-07-14       Impact factor: 5.531

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