Evidence map›Paper›PMID 30700846›Full record

ArticleLaboratory investigation; a journal of technical methods and pathology2019

Anti-cancer effect of doxorubicin is mediated by downregulation of HMG-Co A reductase via inhibition of EGFR/Src pathway.

Un-Jung Yun, Ji-Hye Lee, Jaegal Shim, Kyungsil Yoon, Sung-Ho Goh, Eun Hee Yi, Sang-Kyu Ye, Jae-Seon Lee, Hyunji Lee, Jongsun Park and 2 more

Open access · bronzeAbstract read
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In one paragraph

Article in Laboratory investigation; a journal of technical methods and pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

28 citing papers in PubMed, 55 citations in OpenAlex.

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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 6 institutions in 2 countries.

Un-Jung YunComparative Biomedicine Research Branch, Division of Translational Science, National Cancer Center, Goyang, Korea.
Ji-Hye LeeComparative Biomedicine Research Branch, Division of Translational Science, National Cancer Center, Goyang, Korea.
Jaegal ShimComparative Biomedicine Research Branch, Division of Translational Science, National Cancer Center, Goyang, Korea.
Kyungsil YoonComparative Biomedicine Research Branch, Division of Translational Science, National Cancer Center, Goyang, Korea.
Sung-Ho GohTherapeutic Target Discovery Branch, Division of Precision Medicine, National Cancer Center, Goyang, Korea.
Eun Hee YiDepartment of Pharmacology, College of Medicine, Seoul National University, Seoul, Korea.
Sang-Kyu YeDepartment of Pharmacology, College of Medicine, Seoul National University, Seoul, Korea.
Jae-Seon LeeDepartment of Molecular medicine, College of Medicine, Inha University, Incheon, Korea.
Hyunji LeeDepartment of Pharmacology and Medical Science, Metabolic Syndrome and Cell Signaling Laboratory, Institute for Cancer Research, College of Medicine, Chungnam National University, Daejeon, Korea.
Jongsun ParkDepartment of Pharmacology and Medical Science, Metabolic Syndrome and Cell Signaling Laboratory, Institute for Cancer Research, College of Medicine, Chungnam National University, Daejeon, Korea.ORCID http://orcid.org/0000-0002-4690-1854
In Hye LeeDepartment of Life Science, Ewha Womans University, Seoul, Korea. lih3026@ewha.ac.kr.ORCID http://orcid.org/0000-0003-2334-3594
Yong-Nyun KimComparative Biomedicine Research Branch, Division of Translational Science, National Cancer Center, Goyang, Korea. ynk@ncc.re.kr.
National Cancer Center · KRChungnam National University · KRInha University · KRSeoul National University · KREwha Womans University · KRNational Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Doxorubicin is a widely used DNA damage-inducing anti-cancer drug. However, its use is limited by its dose-dependent side effects, such as cardiac toxicity. Cholesterol-lowering statin drugs increase the efficacy of some anti-cancer drugs. Cholesterol is important for cell growth and a critical component of lipid rafts, which are plasma membrane microdomains important for cell signaling. 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase (HMG-CR) is a critical enzyme in cholesterol synthesis. Here, we show that doxorubicin downregulated HMG-CR protein levels and thus reduced levels of cholesterol and lipid rafts. Cholesterol addition attenuated doxorubicin-induced cell death, and cholesterol depletion enhanced it. Reduction of HMG-CR activity by simvastatin, a statin that acts as an HMG-CR inhibitor, or by siRNA-mediated HMG-CR knockdown enhanced doxorubicin cytotoxicity. Doxorubicin-induced HMG-CR downregulation was associated with inactivation of the EGFR-Src pathway. Furthermore, a high-cholesterol-diet attenuated the anti-cancer activity of doxorubicin in a tumor xenograft mouse model. In a multivulva model of Caenorhabditis elegans expressing an active-EGFR mutant, doxorubicin decreased hyperplasia more efficiently in the absence than in the presence of cholesterol. These data indicate that EGFR/Src/HMG-CR is a new pathway mediating doxorubicin-induced cell death and that cholesterol control could be combined with doxorubicin treatment to enhance efficacy and thus reduce side effects.

Indexed as

AnimalsAntineoplastic AgentsCaenorhabditis elegansCell Line, TumorDown-RegulationDoxorubicinErbB ReceptorsHumansHydroxymethylglutaryl CoA ReductasesMaleMiceMice, Inbred BALB CMice, NudeSignal Transductionsrc-Family KinasesXenograft Model Antitumor AssaysAntineoplastic AgentsDoxorubicinErbB ReceptorsHydroxymethylglutaryl CoA Reductasessrc-Family Kinases

Identifiers

PMID30700846
OpenAlexW2913906131

What OpenQuestion holds

Textmetadata
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.