Evidence map›Paper›PMID 25171249›Full record

ArticlePloS one2014

Gene expression profiling reveals epithelial mesenchymal transition (EMT) genes can selectively differentiate eribulin sensitive breast cancer cells.

Zoltán Dezső, Judith Oestreicher, Amy Weaver, Stephanie Santiago, Sergei Agoulnik, Jesse Chow, Yoshiya Oda, Yasuhiro Funahashi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 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

8 authors at 1 institution in 1 country.

Zoltán DezsőBiomarkers and Personalized Medicine Core Function Unit, Eisai Product Creation Systems, Eisai Inc., Andover, Massachusetts, United States of America.
Judith OestreicherBiomarkers and Personalized Medicine Core Function Unit, Eisai Product Creation Systems, Eisai Inc., Andover, Massachusetts, United States of America.
Amy WeaverBiomarkers and Personalized Medicine Core Function Unit, Eisai Product Creation Systems, Eisai Inc., Andover, Massachusetts, United States of America.
Stephanie SantiagoBiomarkers and Personalized Medicine Core Function Unit, Eisai Product Creation Systems, Eisai Inc., Andover, Massachusetts, United States of America.
Sergei AgoulnikBiomarkers and Personalized Medicine Core Function Unit, Eisai Product Creation Systems, Eisai Inc., Andover, Massachusetts, United States of America.
Jesse ChowBiomarkers and Personalized Medicine Core Function Unit, Eisai Product Creation Systems, Eisai Inc., Andover, Massachusetts, United States of America.
Yoshiya OdaBiomarkers and Personalized Medicine Core Function Unit, Eisai Product Creation Systems, Eisai Inc., Andover, Massachusetts, United States of America.
Yasuhiro FunahashiBiomarkers and Personalized Medicine Core Function Unit, Eisai Product Creation Systems, Eisai Inc., Andover, Massachusetts, United States of America.
Eisai (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEribulin mesylate is a synthetic macrocyclic ketone analog of the marine sponge natural product halichondrin B. Eribulin is a mechanistically unique inhibitor of microtubule dynamics. In this study, we investigated whether selective signal pathways were associated with eribulin activity compared to paclitaxel, which stabilizes microtubules, based on gene expression profiling of cell line panels of breast, endometrial, and ovarian cancer in vitro.

resultsWe determined the sets of genes that were differentially altered between eribulin and paclitaxel treatment in breast, endometrial, and ovarian cancer cell line panels. Our unsupervised clustering analyses revealed that expression profiles of gene sets altered with treatments were correlated with the in vitro antiproliferative activities of the drugs. Several tubulin isotypes had significantly lower expression in cell lines treated with eribulin compared to paclitaxel. Pathway enrichment analyses of gene sets revealed that the common pathways altered between treatments in the 3 cancer panels were related to cytoskeleton remodeling and cell cycle regulation. The epithelial-mesenchymal transition (EMT) pathway was enriched in genes with significantly altered expression between the two drugs for breast and endometrial cancers, but not for ovarian cancer. Expression of genes from the EMT pathway correlated with eribulin sensitivity in breast cancer and with paclitaxel sensitivity in endometrial cancer. Alteration of expression profiles of EMT genes between sensitive and resistant cell lines allowed us to predict drug sensitivity for breast and endometrial cancers.

conclusionGene expression analysis showed that gene sets that were altered between eribulin and paclitaxel correlated with drug in vitro antiproliferative activities in breast and endometrial cancer cell line panels. Among the panels, breast cancer provided the strongest differentiation between eribulin and paclitaxel sensitivities based on gene expression. In addition, EMT genes were predictive of eribulin sensitivity in the breast and endometrial cancer panels.

Indexed as

Antineoplastic AgentsBreast NeoplasmsEpithelial-Mesenchymal TransitionFemaleFuransGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKetonesPaclitaxelPolyether PolyketidesAntineoplastic AgentseribulinFuransKetonesPaclitaxelPolyether Polyketides

Identifiers

PMID25171249
PMCPMC4149521
OpenAlexW2028144293

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.