Evidence map›Paper›PMID 26869854›Full record

ArticleCancer cell international2016

Characterisation of bioenergetic pathways and related regulators by multiple assays in human tumour cells.

A Jeney, Z Hujber, N Szoboszlai, A Fullár, J Oláh, É Pap, Á Márk, Cs Kriston, J Kralovánszky, I Kovalszky and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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 5 institutions in 1 country.

A Jeney *1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085 Hungary.
Z Hujber *1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085 Hungary.
N SzoboszlaiLaboratory of Environmental Chemistry and Bioanalytics, Department of Analytical Chemistry, Institute of Chemistry, Eötvös Loránd University, P.O. Box 32, Budapest, 1518 Hungary.
A Fullár1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085 Hungary.
J Oláh1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085 Hungary.
É PapDepartment of Clinical Research, National Institute of Oncology, P.O. Box 21, Budapest, 1525 Hungary.
Á Márk1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085 Hungary.
Cs Kriston1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085 Hungary.
J KralovánszkyDepartment of Clinical Research, National Institute of Oncology, P.O. Box 21, Budapest, 1525 Hungary.
I Kovalszky1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085 Hungary.
K VékeyResearch Centre for Natural Sciences of the Hungarian Academy of Sciences, Pusztaszeri u. 59-67, Budapest, 1025 Hungary.
A Sebestyén1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Üllői út 26, Budapest, 1085 Hungary.
Semmelweis University · HUNational Institute of Oncology · HUEötvös Loránd University · HUHungarian Academy of Sciences · HUHUN-REN Research Centre for Natural Sciences · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlterations in cellular metabolism are considered as hallmarks of cancers, however, to recognize these alterations and understand their mechanisms appropriate techniques are required. Our hypothesis was to determine whether dominant bioenergetic mechanism may be estimated by comparing the substrate utilisation with different methods to detect the labelled carbon incorporation and their application in tumour cells.

methodsTo define the bioenergetic pathways different metabolic tests were applied: (a) measuring CO2 production from [1-(14)C]-glucose and [1-(14)C]-acetate; (b) studying the effect of glucose and acetate on adenylate energy charge; (c) analysing glycolytic and TCA cycle metabolites and the number of incorporated (13)C atoms after [U-(13)C]-glucose/[2-(13)C]-acetate labelling. Based on [1-(14)C]-substrate oxidation two selected cell lines out of seven were analysed in details, in which the highest difference was detected at their substrate utilization. To elucidate the relevance of metabolic characterisation the expression of certain regulatory factors, bioenergetic enzymes, mammalian target of rapamycin (mTOR) complexes (C1/C2) and related targets as important elements at the crossroad of cellular signalling network were also investigated.

resultsBoth [U-(13)C]-glucose and [1-(14)C]-substrate labelling indicated high glycolytic capacity of tumour cells. However, the ratio of certain (13)C-labelled metabolites showed detailed metabolic differences in the two selected cell lines in further characterisation. The detected differences of GAPDH, β-F1-ATP-ase expression and adenylate energy charge in HT-1080 and ZR-75.1 tumour cells also confirmed the altered metabolism. Moreover, the highly limited labelling of citrate by [2-(13)C]-acetate-representing a novel functional test in malignant cells-confirmed the defect of TCA cycle of HT-1080 in contrast to ZR-75.1 cells. Noteworthy, the impaired TCA cycle in HT-1080 cells were associated with high mTORC1 activity, negligible protein level and activity of mTORC2, high expression of interleukin-1β, interleukin-6 and heme oxygenase-1 which may contribute to the compensatory mechanism of TCA deficiency.

conclusionsThe applied methods of energy substrate utilisation and other measurements represent simple assay system using (13)C-acetate and glucose to recognize dominant bioenergetic pathways in tumour cells. These may offer a possibility to characterise metabolic subtypes of human tumours and provide guidelines to find biomarkers for prediction and development of new metabolism related targets in personalized therapy.

Indexed as

Bioenergetic signatureEnergy metabolismGAPDH/β-F1-ATPase expressionGlucose/acetate utilizationMetabolic characterisationmTORTCA impairment

Identifiers

PMID26869854
PMCPMC4750284
OpenAlexW2255451281

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.