Evidence map›Paper›PMID 31137921›Full record

ArticleCells2019

Characterization of Lipid and Lipid Droplet Metabolism in Human HCC.

Nikolaus Berndt, Johannes Eckstein, Niklas Heucke, Robert Gajowski, Martin Stockmann, David Meierhofer, Hermann-Georg Holzhütter

Open access · goldAbstract read
In one paragraph

Article in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
8.0field-weighted citation impact, top 2% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

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  15. [Research progress of long-chain non-coding RNA in lipid metabolism reprogramming in primary hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2024
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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

7 authors at 2 institutions in 1 country.

Nikolaus BerndtCharité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Biochemistry, Charitéplatz 1, 10117 Berlin, Germany. nikolaus.berndt@charite.de.
Johannes EcksteinCharité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Biochemistry, Charitéplatz 1, 10117 Berlin, Germany. johannes.ecktein@charite.de.
Niklas HeuckeCharité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Surgery, Augustenburger Platz 1, 13353 Berlin, Germany. niklas.heucke@charite.de.
Robert GajowskiMax Planck Institute of Molecular Genetics, Mass Spectroscopy Facility, Ihnestraße 63-73, 14195 Berlin, Germany. gajowski@molgen.mpg.de.
Martin StockmannCharité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Surgery, Augustenburger Platz 1, 13353 Berlin, Germany. martin.stockmann@charite.de.
David MeierhoferMax Planck Institute of Molecular Genetics, Mass Spectroscopy Facility, Ihnestraße 63-73, 14195 Berlin, Germany. Meierhof@molgen.mpg.de.
Hermann-Georg HolzhütterCharité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Biochemistry, Charitéplatz 1, 10117 Berlin, Germany. hergo@charite.de.
Humboldt-Universität zu Berlin · DEMax Planck Institute for Molecular Genetics · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human hepatocellular carcinoma (HCC) is the most common type of primary liver cancer in adults and the most common cause of death in people with cirrhosis. While previous metabolic studies of HCC have mainly focused on the glucose metabolism (Warburg effect), less attention has been paid to tumor-specific features of the lipid metabolism. Here, we applied a computational approach to analyze major pathways of fatty acid utilization in individual HCC. To this end, we used protein intensity profiles of eleven human HCCs to parameterize tumor-specific kinetic models of cellular lipid metabolism including formation, enlargement, and degradation of lipid droplets (LDs). Our analysis reveals significant inter-tumor differences in the lipid metabolism. The majority of HCCs show a reduced uptake of fatty acids and decreased rate of β-oxidation, however, some HCCs display a completely different metabolic phenotype characterized by high rates of β-oxidation. Despite reduced fatty acid uptake in the majority of HCCs, the content of triacylglycerol is significantly enlarged compared to the tumor-adjacent tissue. This is due to tumor-specific expression profiles of regulatory proteins decorating the surface of LDs and controlling their turnover. Our simulations suggest that HCCs characterized by a very high content of triglycerides comprise regulatory peculiarities that render them susceptible to selective drug targeting without affecting healthy tissue.

Indexed as

Lipid MetabolismAgedAged, 80 and overCarcinoma, HepatocellularChromatography, LiquidFatty AcidsFemaleHumansLipid DropletsLiver NeoplasmsMaleMembrane ProteinsMiddle AgedModels, BiologicalOxidation-ReductionPhospholipidsFatty AcidsMembrane ProteinsPhospholipidsTriglycerideshepatocellular carcinomakinetic modelinglipid droplet metabolismlivermathematical modeltumor metabolism

Identifiers

PMID31137921
PMCPMC6562484
OpenAlexW2946950547

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.