Evidence map›Paper›PMID 32147668›Full record

ArticleBritish journal of cancer2020

Mitochondrial division inhibitor (mdivi-1) decreases oxidative metabolism in cancer.

Wenting Dai, Guan Wang, Jason Chwa, Myung Eun Oh, Tharindumala Abeywardana, Yanzhong Yang, Qiong A Wang, Lei Jiang

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

68 citing papers in PubMed, 105 citations in OpenAlex.

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  18. Genetic mutations in kinases: a comprehensive review on marketed inhibitors and unexplored targets in Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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8 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 1 country.

Wenting DaiDepartment of Molecular and Cellular Endocrinology, Diabetes and Metabolism Research Institute, City of Hope Medical Center, Duarte, CA, 91010, USA.
Guan WangDepartment of Molecular and Cellular Endocrinology, Diabetes and Metabolism Research Institute, City of Hope Medical Center, Duarte, CA, 91010, USA.
Jason ChwaDepartment of Molecular and Cellular Endocrinology, Diabetes and Metabolism Research Institute, City of Hope Medical Center, Duarte, CA, 91010, USA.
Myung Eun OhDepartment of Molecular and Cellular Endocrinology, Diabetes and Metabolism Research Institute, City of Hope Medical Center, Duarte, CA, 91010, USA.
Tharindumala AbeywardanaDepartments of Cancer Genetics and Epigenetics, Beckman Research Institute, City of Hope Medical Center, Duarte, CA, 91010, USA.
Yanzhong YangDepartments of Cancer Genetics and Epigenetics, Beckman Research Institute, City of Hope Medical Center, Duarte, CA, 91010, USA.
Qiong A WangDepartment of Molecular and Cellular Endocrinology, Diabetes and Metabolism Research Institute, City of Hope Medical Center, Duarte, CA, 91010, USA.
Lei JiangDepartment of Molecular and Cellular Endocrinology, Diabetes and Metabolism Research Institute, City of Hope Medical Center, Duarte, CA, 91010, USA. ljiang@coh.org.
City of Hope · USCancer Genetics (United States) · US

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI XIWEI WU · 1985 to 2026
$86.3M
Regulation of N6-methyladenosine (m6A) deposition by arginine methylationR01GM133850 · NIGMS · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI YANG, YANZHONG · 2019 to 2023
$2.1M
Defining the Role of Adipogenesis in Age-Associated AdiposityR56AG063854 · NIA · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI WANG, QIONG ANNABEL · 2019 to 2019
$440k
Converting More Brown Adipocytes From Resting to Active StateK01DK107788 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI WANG, QIONG ANNABEL · 2015 to 2017
$333k
Defining How Mammary Adipocytes Remodel During Female ReproductionR03HD095414 · NICHD · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI WANG, QIONG ANNABEL · 2018 to 2019
$173k
Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) GM133850NCI NIH HHS P30 CA033572NIA NIH HHS R56 AG063854NICHD NIH HHS R03 HD095414NIDDK NIH HHS K01 DK107788NIGMS NIH HHS R01 GM133850
6 · The paper itself

Abstract

backgroundPrevious studies suggested that mdivi-1 (mitochondrial division inhibitor), a putative inhibitor of dynamin-related protein (DRP1), decreased cancer cell proliferation through inducing mitochondrial fusion and altering oxygen consumption. However, the metabolic reprogramming underlying the DRP1 inhibition is still unclear in cancer cells.

methodsTo better understand the metabolic effect of DRP1 inhibition, [U-

resultsMitochondrial staining confirmed that mdivi-1 treatment and DRP1 deficiency induced mitochondrial fusion. Surprisingly, metabolic isotope tracing found that mdivi-1 decreased mitochondrial oxidative metabolism in the lung cancer cell lines H460, A549 and the colon cancer cell line HCT116. [U-

conclusionsOur data suggest that, in cancer cells, mdivi-1, a putative inhibitor of DRP1, decreases oxidative metabolism to impair cell proliferation.

Indexed as

A549 CellsAnimalsCarbon IsotopesCell ProliferationColonic NeoplasmsDynaminsGene Knockout TechniquesGlucoseHCT116 CellsHumansLung NeoplasmsMiceMitochondriaMitochondrial DynamicsOxidative StressOxygen Consumption3-(2,4-dichloro-5-methoxyphenyl)-2-sulfanyl-4(3H)-quinazolinoneCarbon IsotopesDNM1L protein, humanDynaminsGlucoseQuinazolinones

Identifiers

PMID32147668
PMCPMC7188673
OpenAlexW3009518051

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.