Evidence map›Paper›PMID 27931239›Full record

ArticleBreast cancer research : BCR2016

MCL-1 inhibition provides a new way to suppress breast cancer metastasis and increase sensitivity to dasatinib.

Adelaide I J Young, Andrew M K Law, Lesley Castillo, Sabrina Chong, Hayley D Cullen, Martin Koehler, Sebastian Herzog, Tilman Brummer, Erinna F Lee, Walter D Fairlie and 10 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
5.2field-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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

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  13. Small molecule Mcl-1 inhibitor for triple negative breast cancer therapy.Frontiers in cell and developmental biology · 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

20 authors at 7 institutions in 2 countries.

Adelaide I J YoungCancer Research Division, Garvan Institute of Medical Research and the Kinghorn Cancer Centre, 384 Victoria Street, Darlinghurst, NSW, 2010, Australia.
Andrew M K LawCancer Research Division, Garvan Institute of Medical Research and the Kinghorn Cancer Centre, 384 Victoria Street, Darlinghurst, NSW, 2010, Australia.
Lesley CastilloCancer Research Division, Garvan Institute of Medical Research and the Kinghorn Cancer Centre, 384 Victoria Street, Darlinghurst, NSW, 2010, Australia.
Sabrina ChongCancer Research Division, Garvan Institute of Medical Research and the Kinghorn Cancer Centre, 384 Victoria Street, Darlinghurst, NSW, 2010, Australia.
Hayley D CullenCancer Research Division, Garvan Institute of Medical Research and the Kinghorn Cancer Centre, 384 Victoria Street, Darlinghurst, NSW, 2010, Australia.
Martin KoehlerCentre for Biological Systems Analysis (ZBSA) and Centre for Biological Signallling Studies, Albert-Ludwigs-University, Stefan-Meier-Strasse 17, 79104, Freiburg, Germany.
Sebastian HerzogBIOSS Centre for Biological Signalling Studies, Albert-Ludwigs-University Freiburg, Schänzlestrasse 18, 79104, Freiburg, Germany.
Tilman BrummerCentre for Biological Systems Analysis (ZBSA) and Centre for Biological Signallling Studies, Albert-Ludwigs-University, Stefan-Meier-Strasse 17, 79104, Freiburg, Germany.
Erinna F LeeOlivia Newton-John Cancer Research Institute, 145 Studley Rd, Heidelberg, Victoria, 3084, Australia.
Walter D FairlieOlivia Newton-John Cancer Research Institute, 145 Studley Rd, Heidelberg, Victoria, 3084, Australia.
Morghan C LucasCancer Research Division, Garvan Institute of Medical Research and the Kinghorn Cancer Centre, 384 Victoria Street, Darlinghurst, NSW, 2010, Australia.
David HerrmannCancer Research Division, Garvan Institute of Medical Research and the Kinghorn Cancer Centre, 384 Victoria Street, Darlinghurst, NSW, 2010, Australia.
Amr AllamCancer Research Division, Garvan Institute of Medical Research and the Kinghorn Cancer Centre, 384 Victoria Street, Darlinghurst, NSW, 2010, Australia.
Paul TimpsonCancer Research Division, Garvan Institute of Medical Research and the Kinghorn Cancer Centre, 384 Victoria Street, Darlinghurst, NSW, 2010, Australia.
D Neil WatkinsCancer Research Division, Garvan Institute of Medical Research and the Kinghorn Cancer Centre, 384 Victoria Street, Darlinghurst, NSW, 2010, Australia.
Ewan K A MillarDepartment of Anatomical Pathology, South Eastern Area Laboratory Service, St George Hospital, Grey St, Kogarah, NSW, 2217, Australia.
Sandra A O'TooleSydney Medical School, Sydney University, Fisher Rd, Camperdown, NSW, 2006, Australia.
David Gallego-OrtegaCancer Research Division, Garvan Institute of Medical Research and the Kinghorn Cancer Centre, 384 Victoria Street, Darlinghurst, NSW, 2010, Australia.
Christopher J OrmandyCancer Research Division, Garvan Institute of Medical Research and the Kinghorn Cancer Centre, 384 Victoria Street, Darlinghurst, NSW, 2010, Australia.
Samantha R OakesCancer Research Division, Garvan Institute of Medical Research and the Kinghorn Cancer Centre, 384 Victoria Street, Darlinghurst, NSW, 2010, Australia. s.oakes@garvan.org.au.
Garvan Institute of Medical Research · AUUniversity of Freiburg · DESt Vincent's Clinic · AURoyal Prince Alfred Hospital · AUSt George Hospital · AUUniversity of Melbourne · AUWalter and Eliza Hall Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetastatic disease is largely resistant to therapy and accounts for almost all cancer deaths. Myeloid cell leukemia-1 (MCL-1) is an important regulator of cell survival and chemo-resistance in a wide range of malignancies, and thus its inhibition may prove to be therapeutically useful.

methodsTo examine whether targeting MCL-1 may provide an effective treatment for breast cancer, we constructed inducible models of BIMs2A expression (a specific MCL-1 inhibitor) in MDA-MB-468 (MDA-MB-468-2A) and MDA-MB-231 (MDA-MB-231-2A) cells.

resultsMCL-1 inhibition caused apoptosis of basal-like MDA-MB-468-2A cells grown as monolayers, and sensitized them to the BCL-2/BCL-XL inhibitor ABT-263, demonstrating that MCL-1 regulated cell survival. In MDA-MB-231-2A cells, grown in an organotypic model, induction of BIMs2A produced an almost complete suppression of invasion. Apoptosis was induced in such a small proportion of these cells that it could not account for the large decrease in invasion, suggesting that MCL-1 was operating via a previously undetected mechanism. MCL-1 antagonism also suppressed local invasion and distant metastasis to the lung in mouse mammary intraductal xenografts. Kinomic profiling revealed that MCL-1 antagonism modulated Src family kinases and their targets, which suggested that MCL-1 might act as an upstream modulator of invasion via this pathway. Inhibition of MCL-1 in combination with dasatinib suppressed invasion in 3D models of invasion and inhibited the establishment of tumors in vivo.

conclusionThese data provide the first evidence that MCL-1 drives breast cancer cell invasion and suggests that MCL-1 antagonists could be used alone or in combination with drugs targeting Src kinases such as dasatinib to suppress metastasis.

Indexed as

Drug Resistance, NeoplasmAnimalsAntineoplastic AgentsBreast NeoplasmsCell DeathCell Line, TumorCell MovementDasatinibDisease Models, AnimalFemaleGene ExpressionHumansImmunohistochemistryMiceMice, KnockoutMutationAntineoplastic AgentsDasatinibMyeloid Cell Leukemia Sequence 1 ProteinProtein Kinase InhibitorsBH3 mimeticsBIMs2ABreast cancerCofilinInvasionMetastasisMyeloid cell leukemia-1SRC family kinase

Identifiers

PMID27931239
PMCPMC5146841
OpenAlexW2560357342

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.