Evidence map›Paper›PMID 23136197›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2013

Predictive biomarkers of sensitivity to the aurora and angiogenic kinase inhibitor ENMD-2076 in preclinical breast cancer models.

Jennifer R Diamond, S Gail Eckhardt, Aik Choon Tan, Timothy P Newton, Heather M Selby, Kelsey L Brunkow, Maria I Kachaeva, Marileila Varella-Garcia, Todd M Pitts, Mark R Bray and 2 more

Open access · greenAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

28 citing papers in PubMed, 44 citations in OpenAlex.

  1. Trial
  2. Article
  3. p53: The Multifaceted Roles of Covalent Modifications in Cancer.Pharmaceuticals (Basel, Switzerland) · 2024
    Review
  4. Review
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  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Protein Kinase Targets in Breast Cancer.International journal of molecular sciences · 2017
    Review
  15. Article
  16. Article
  17. Article
  18. Multi-kinase inhibitors, AURKs and cancer.Medical oncology (Northwood, London, England) · 2016
    Review
  19. Article
  20. Article
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

12 authors at 2 institutions in 1 country.

Jennifer R DiamondDivision of Medical Oncology, Department of Medicine, University of Colorado Cancer Center, Aurora, CO 80045, USA. Jennifer.diamond@ucdenver.edu
S Gail Eckhardt
Aik Choon Tan
Timothy P Newton
Heather M Selby
Kelsey L Brunkow
Maria I Kachaeva
Marileila Varella-Garcia
Todd M Pitts
Mark R Bray
Graham C Fletcher
John J Tentler
University of Colorado Cancer Center · USUniversity of Colorado Denver · US

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
Paul Calabresis Award in Clinical Oncology ResearchK12CA086913 · NCI · UNIVERSITY OF COLORADO DENVER · PI VIRGINIA F. BORGES, Jill E Slansky · 2000 to 2026
$17.8M
TRAINING IN PHARMACOLOGY OF ANTINEOPLASTIC AGENTST32CA079446 · NCI · UNIVERSITY OF COLORADO DENVER · PI ECKHARDT, S. GAIL · 1999 to 2009
$1.9M
The Development of Novel Individualized Therapy for Triple-Negative Breast CancerK23CA172691 · NCI · UNIVERSITY OF COLORADO DENVER · PI DIAMOND, JENNIFER R. · 2013 to 2017
$859k
NCI NIH HHS CA046934NCI NIH HHS CA079446NCI NIH HHS K12 CA086913NCI NIH HHS K23 CA172691NCI NIH HHS P30 CA046934NCI NIH HHS T32 CA079446
6 · The paper itself

Abstract

purposeThe Aurora kinases are a family of conserved serine-threonine kinases with key roles in mitotic cell division. As with other promising anticancer targets, patient selection strategies to identify a responsive subtype will likely be required for successful clinical development of Aurora kinase inhibitors. The purpose of this study was to evaluate the antitumor activity of the Aurora and angiogenic kinase inhibitor ENMD-2076 against preclinical models of breast cancer with identification of candidate predictive biomarkers. EXPERIMENTAL

designTwenty-nine breast cancer cell lines were exposed to ENMD-2076 and the effects on proliferation, apoptosis, and cell-cycle distribution were evaluated. In vitro activity was confirmed in MDA-MB-468 and MDA-MB-231 triple-negative breast cancer xenografts. Systematic gene expression analysis was used to identify up- and downregulated pathways in the sensitive and resistant cell lines, including within the triple-negative breast cancer subset.

resultsENMD-2076 showed antiproliferative activity against breast cancer cell lines, with more robust activity against cell lines lacking estrogen receptor expression and those without increased HER2 expression. Within the triple-negative breast cancer subset, cell lines with a p53 mutation and increased p53 expression were more sensitive to the cytotoxic and proapoptotic effects of ENMD-2076 exposure than cell lines with decreased p53 expression.

conclusionsENMD-2076 exhibited robust anticancer activity against models of triple-negative breast cancer and the candidate predictive biomarkers identified in this study may be useful in selecting patients for Aurora kinase inhibitors in the future.

Indexed as

AnimalsAntineoplastic AgentsApoptosisAurora KinasesBreast NeoplasmsCell Line, TumorCell ProliferationCellular SenescenceCluster AnalysisDisease Models, AnimalDrug Resistance, NeoplasmErb-b2 Receptor Tyrosine KinasesFemaleG2 Phase Cell Cycle CheckpointsGene Expression ProfilingHumansAntineoplastic AgentsAurora KinasesENMD 2076Erb-b2 Receptor Tyrosine KinasesProtein Serine-Threonine KinasesPyrazolesPyrimidinesTumor Suppressor Protein p53

Identifiers

PMID23136197
PMCPMC3537923
OpenAlexW2154389735

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.