Evidence map›Paper›PMID 26482043›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2016

MAPK Activation Predicts Poor Outcome and the MEK Inhibitor, Selumetinib, Reverses Antiestrogen Resistance in ER-Positive High-Grade Serous Ovarian Cancer.

Karina E Hew, Philip C Miller, Dorraya El-Ashry, Jun Sun, Alexandra H Besser, Tan A Ince, Mengnan Gu, Zhi Wei, Gao Zhang, Patricia Brafford and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
5.1field-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

39 citing papers in PubMed, 59 citations in OpenAlex.

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  7. Advances in ovarian tumor stem cells and therapy.Cell biochemistry and biophysics · 2024
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  16. MicroRNAs as the critical regulators of cisplatin resistance in gastric tumor cells.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2021
    Review
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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

15 authors at 5 institutions in 1 country.

Karina E HewDepartment of Obstetrics and Gynecology, University of Miami Miller School of Medicine, Miami, Florida. Braman Family Breast Cancer Institute, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida.
Philip C MillerBraman Family Breast Cancer Institute, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida. Department of Medicine, University of Miami Miller School of Medicine, Miami, Florida.
Dorraya El-AshryBraman Family Breast Cancer Institute, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida. Department of Medicine, University of Miami Miller School of Medicine, Miami, Florida.
Jun SunBraman Family Breast Cancer Institute, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida.
Alexandra H BesserBraman Family Breast Cancer Institute, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida.
Tan A InceBraman Family Breast Cancer Institute, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida. Department of Pathology, University of Miami Miller School of Medicine, Miami, Florida.
Mengnan GuDepartment of Computer Science, New Jersey Institute of Technology, Newark, New Jersey.
Zhi WeiDepartment of Computer Science, New Jersey Institute of Technology, Newark, New Jersey.
Gao ZhangWistar Institute, Philadelphia, Pennsylvania.
Patricia BraffordWistar Institute, Philadelphia, Pennsylvania.
Wei GaoDepartment of Systems Biology, MD Anderson Cancer Center, Houston, Texas.
Yiling LuDepartment of Systems Biology, MD Anderson Cancer Center, Houston, Texas.
Gordon B MillsDepartment of Systems Biology, MD Anderson Cancer Center, Houston, Texas.
Joyce M SlingerlandBraman Family Breast Cancer Institute, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida. Department of Medicine, University of Miami Miller School of Medicine, Miami, Florida. fiona.simpkins@uphs.upenn.edu jslingerland@med.miami.edu.
Fiona SimpkinsDepartment of Obstetrics and Gynecology, University of Miami Miller School of Medicine, Miami, Florida. Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, Pennsylvania. fiona.simpkins@uphs.upenn.edu jslingerland@med.miami.edu.
University of Miami · USThe University of Texas MD Anderson Cancer Center · USNew Jersey Institute of Technology · USSylvester Comprehensive Cancer Center · USThe Wistar Institute · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
UNIVERSITY OF TEXAS MD ANDERSON SPORE IN OVARIAN CANCERP50CA083639 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BAST, ROBERT C · 1999 to 2015
$33.0M
Targeting SRC Signaling Pathways to Promote Cell Cycle Arrest in Ovarian CancerK08CA151892 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SIMPKINS, FIONA · 2011 to 2016
$807k
NCI NIH HHS 7K08CA151892-04NCI NIH HHS K08 CA151892NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA083639
6 · The paper itself

Abstract

purposeAlthough 67% of high-grade serous ovarian cancers (HGSOC) express the estrogen receptor (ER), most fail antiestrogen therapy. Because MAPK activation is frequent in ovarian cancer, we investigated if estrogen regulates MAPK and if MEK inhibition (MEKi) reverses antiestrogen resistance. EXPERIMENTAL

designEffects of MEKi (selumetinib), antiestrogen (fulvestrant), or both were assayed in ER-positive HGSOC in vitro and in xenografts. Response biomarkers were investigated by gene expression microarray and reverse phase protein array (RPPA). Genes differentially expressed in two independent primary HGSOC datasets with high versus low pMAPK by RPPA were used to generate a "MAPK-activated gene signature." Gene signature components that were reversed by MEKi were then identified.

resultsHigh intratumor pMAPK independently predicts decreased survival (HR, 1.7; CI > 95%,1.3-2.2; P = 0.0009) in 408 HGSOC from The Cancer Genome Atlas. A differentially expressed "MAPK-activated" gene subset was also prognostic. "MAPK-activated genes" in HGSOC differ from those in breast cancer. Combined MEK and ER blockade showed greater antitumor effects in xenografts than monotherapy. Gene set enrichment analysis and RPPA showed that dual therapy downregulated DNA replication and cell-cycle drivers, and upregulated lysosomal gene sets. Selumetinib reversed expression of a subset of "MAPK-activated genes" in vitro and/or in xenografts. Three of these genes were prognostic for poor survival (P = 0.000265) and warrant testing as a signature predictive of MEKi response.

conclusionsHigh pMAPK is independently prognostic and may underlie antiestrogen failure. Data support further evaluation of fulvestrant and selumetinib in ER-positive HGSOC. The MAPK-activated HGSOC signature may help identify MEK inhibitor responsive tumors.

Indexed as

AnimalsAntineoplastic Combined Chemotherapy ProtocolsBenzimidazolesDrug Resistance, NeoplasmDrug SynergismEnzyme ActivationEstradiolEstrogen Receptor ModulatorsFemaleFulvestrantHumansKaplan-Meier EstimateMAP Kinase Signaling SystemMice, Inbred NODMice, SCIDMitogen-Activated Protein KinasesAZD 6244BenzimidazolesEstradiolEstrogen Receptor ModulatorsFulvestrantMitogen-Activated Protein KinasesReceptors, Estrogen

Identifiers

PMID26482043
PMCPMC4755805
OpenAlexW2144796447

What OpenQuestion holds

Textmetadata
LicenceTDM
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.