Evidence map›Paper›PMID 27141305›Full record

ArticleCancer & metabolism2016

Metabolic changes associated with methionine stress sensitivity in MDA-MB-468 breast cancer cells.

Stacey L Borrego, Johannes Fahrmann, Rupsa Datta, Chiara Stringari, Dmitry Grapov, Michael Zeller, Yumay Chen, Ping Wang, Pierre Baldi, Enrico Gratton and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer & metabolism, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
6.1field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
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  6. The role of BCancer & metabolism · 2025
    Article
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  10. Review
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  18. Targeting the methionine addiction of cancer.American journal of cancer research · 2022
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 3 countries.

Stacey L Borrego *Department of Biological Chemistry, University of California, Irvine, Irvine, CA USA.
Johannes Fahrmann *West Coast Metabolomics Center, University of California, Davis, Davis, CA USA.
Rupsa DattaLaboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, Irvine, CA USA.
Chiara StringariLaboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, Irvine, CA USA.
Dmitry GrapovCDS Creative Solutions, Ballwin, MO USA.
Michael ZellerDepartment of Computer Science, University of California, Irvine, Irvine, CA USA.
Yumay ChenDepartment of Biological Chemistry, University of California, Irvine, Irvine, CA USA.
Ping WangDepartment of Biological Chemistry, University of California, Irvine, Irvine, CA USA.
Pierre BaldiDepartment of Computer Science, University of California, Irvine, Irvine, CA USA.
Enrico GrattonLaboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, Irvine, CA USA.
Oliver FiehnWest Coast Metabolomics Center, University of California, Davis, Davis, CA USA.
Peter KaiserDepartment of Biological Chemistry, University of California, Irvine, Irvine, CA USA.
University of California, Irvine · USCentre National de la Recherche Scientifique · FRKing Abdulaziz University · SAThe University of Texas MD Anderson Cancer Center · US

Funding

University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
West Coast Central Comprehensive Metabolomics Resource Core (WC3MRC)U24DK097154 · NIDDK · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FIEHN, OLIVER · 2012 to 2017
$9.9M
Ubiquitin SignalingR01GM066164 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI KAISER, PETER · 2002 to 2022
$7.4M
Efficient Data Structures and Algorithms for Genomics Sequence DataR01LM010235 · NLM · UNIVERSITY OF CALIFORNIA-IRVINE · PI BALDI, PIERRE · 2010 to 2012
$507k
Regulation by Proteolysis-Independent UbiquitinationR56GM066164 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI KAISER, PETER · 2007 to 2007
$265k
Integration of S-adenosylmethionine Metabolism with Epigenetics and Cell CycleF31GM105321 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI BORREGO, STACEY · 2013 to 2015
$110k
NCATS NIH HHS UL1 TR001414NIDDK NIH HHS U24 DK097154NIGMS NIH HHS F31 GM105321NIGMS NIH HHS R01 GM066164NIGMS NIH HHS R56 GM066164NLM NIH HHS R01 LM010235
6 · The paper itself

Abstract

backgroundThe majority of cancer cells have a unique metabolic requirement for methionine that is not observed in normal, non-tumorigenic cells. This phenotype is described as "methionine dependence" or "methionine stress sensitivity" in which cancer cells are unable to proliferate when methionine has been replaced with its metabolic precursor, homocysteine, in cell culture growth media. We focus on the metabolic response to methionine stress in the triple negative breast cancer cell line MDA-MB-468 and its methionine insensitive derivative cell line MDA-MB-468res-R8.

resultsUsing a variety of techniques including fluorescence lifetime imaging microscopy (FLIM) and extracellular flux assays, we identified a metabolic down-regulation of oxidative phosphorylation in both MDA-MB-468 and MDA-MB-468res-R8 cell types when cultured in homocysteine media. Untargeted metabolomics was performed by way of gas chromatography/time-of-flight mass spectrometry on both cell types cultured in homocysteine media over a period of 2 to 24 h. We determined unique metabolic responses between the two cell lines in specific pathways including methionine salvage, purine/pyrimidine synthesis, and the tricarboxylic acid cycle. Stable isotope tracer studies using deuterium-labeled homocysteine indicated a redirection of homocysteine metabolism toward the transsulfuration pathway and glutathione synthesis. This data corroborates with increased glutathione levels concomitant with increased levels of oxidized glutathione. Redirection of homocysteine flux resulted in reduced generation of methionine from homocysteine particularly in MDA-MB-468 cells. Consequently, synthesis of the important one-carbon donor S-adenosylmethionine (SAM) was decreased, perturbing the SAM to S-adenosylhomocysteine ratio in MDA-MB-468 cells, which is an indicator of the cellular methylation potential.

conclusionThis study indicates a differential metabolic response between the methionine sensitive MDA-MB-468 cells and the methionine insensitive derivative cell line MDA-MB-468res-R8. Both cell lines appear to experience oxidative stress when methionine was replaced with its metabolic precursor homocysteine, forcing cells to redirect homocysteine metabolism toward the transsulfuration pathway to increase glutathione synthesis. The methionine stress resistant MDA-MB-468res-R8 cells responded to this cellular stress earlier than the methionine stress sensitive MDA-MB468 cells and coped better with metabolic demands. Additionally, it is evident that S-adenosylmethionine metabolism is dependent on methionine availability in cancer cells, which cannot be sufficiently supplied by homocysteine metabolism under these conditions.

Indexed as

Cancer metabolismHomocysteineMethionineMethionine stressS-adenosylmethionineSAM

Identifiers

PMID27141305
PMCPMC4852440
OpenAlexW2338199987

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.