Evidence map›Paper›PMID 25889105›Full record

ArticleJournal of translational medicine2015

Anoikis-resistant subpopulations of human osteosarcoma display significant chemoresistance and are sensitive to targeted epigenetic therapies predicted by expression profiling.

Jessica M Foley, Donald J Scholten, Noel R Monks, David Cherba, David J Monsma, Paula Davidson, Dawna Dylewski, Karl Dykema, Mary E Winn, Matthew R Steensma

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

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  7. RUNX2 and Cancer.International journal of molecular sciences · 2023
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  8. Dihydroceramide desaturase 1 (DES1) promotes anchorage-independent survival downstream of HER2-driven glucose uptake and metabolism.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2022
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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

10 authors at 3 institutions in 1 country.

Jessica M FoleyHelen DeVos Children's Hospital, Spectrum Health System, Grand Rapids, MI, USA. jessica.foley@vai.org.
Donald J ScholtenVan Andel Research Institute, Grand Rapids, MI, USA. donald.scholten@vai.org.
Noel R MonksVan Andel Research Institute, Grand Rapids, MI, USA. monksn@medimmune.com.
David CherbaVan Andel Research Institute, Grand Rapids, MI, USA. david.cherba@vai.org.
David J MonsmaVan Andel Research Institute, Grand Rapids, MI, USA. david.monsma@vai.org.
Paula DavidsonVan Andel Research Institute, Grand Rapids, MI, USA. paula.davidson@vai.org.
Dawna DylewskiVan Andel Research Institute, Grand Rapids, MI, USA. dawna.dylewski@vai.org.
Karl DykemaVan Andel Research Institute, Grand Rapids, MI, USA. karl.dykema@vai.org.
Mary E WinnVan Andel Research Institute, Grand Rapids, MI, USA. mary.winn@vai.org.
Matthew R SteensmaHelen DeVos Children's Hospital, Spectrum Health System, Grand Rapids, MI, USA. matt.steensma@vai.org.
Van Andel Institute · USMichigan State University · USSpectrum Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteosarcoma (OS) is the most common type of solid bone cancer, with latent metastasis being a typical mode of disease progression and a major contributor to poor prognosis. For this to occur, cells must resist anoikis and be able to recapitulate tumorigenesis in a foreign microenvironment. Finding novel approaches to treat osteosarcoma and target those cell subpopulations that possess the ability to resist anoikis and contribute to metastatic disease is imperative. Here we investigate anchorage-independent (AI) cell growth as a model to better characterize anoikis resistance in human osteosarcoma while using an expression profiling approach to identify and test targetable signaling pathways.

methodsEstablished human OS cell lines and patient-derived human OS cell isolates were subjected to growth in either adherent or AI conditions using Ultra-Low Attachment plates in identical media conditions. Growth rate was assessed using cell doubling times and chemoresistance was assessed by determining cell viability in response to a serial dilution of either doxorubicin or cisplatin. Gene expression differences were examined using quantitative reverse-transcription PCR and microarray with principal component and pathway analysis. In-vivo OS xenografts were generated by either subcutaneous or intratibial injection of adherent or AI human OS cells into athymic nude mice. Statistical significance was determined using student's t-tests with significance set at α=0.05.

resultsWe show that AI growth results in a global gene expression profile change accompanied by significant chemoresistance (up to 75 fold, p<0.05). AI cells demonstrate alteration of key mediators of mesenchymal differentiation (β-catenin, Runx2), stemness (Sox2), proliferation (c-myc, Akt), and epigenetic regulation (HDAC class 1). AI cells were equally tumorigenic as their adherent counterparts, but showed a significantly decreased rate of growth in-vitro and in-vivo (p<0.05). Treatment with the pan-histone deacetylase inhibitor vorinostat and the DNA methyltransferase inhibitor 5-azacytidine mitigated AI growth, while 5-azacytidine sensitized anoikis-resistant cells to doxorubicin (p<0.05).

conclusionsThese data demonstrate remarkable plasticity in anoikis-resistant human osteosarcoma subpopulations accompanied by a rapid development of chemoresistance and altered growth rates mirroring the early stages of latent metastasis. Targeting epigenetic regulation of this process may be a viable therapeutic strategy.

Indexed as

AnoikisEpigenesis, GeneticGene Expression ProfilingAntineoplastic AgentsBone NeoplasmsCell Line, TumorDrug Resistance, NeoplasmHumansOsteosarcomaReverse Transcriptase Polymerase Chain ReactionAntineoplastic Agents

Identifiers

PMID25889105
PMCPMC4419490
OpenAlexW2099503517

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.