Evidence map›Paper›PMID 32155786›Full record

ArticleCells2020

CDK7 Inhibition is Effective in all the Subtypes of Breast Cancer: Determinants of Response and Synergy with EGFR Inhibition.

Martina S J McDermott, Amanda C Sharko, Jessica Munie, Susannah Kassler, Theresa Melendez, Chang-Uk Lim, Eugenia V Broude

Open access · goldAbstract read
In one paragraph

Article in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

24 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  5. Seize the engine: Emerging cell cycle targets in breast cancer.Clinical and translational medicine · 2024
    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

7 authors at 1 institution in 1 country.

Martina S J McDermottDepartment of Drug Discovery and Biomedical Sciences, South Carolina College of Pharmacy, University of South Carolina, Columbia, SC 29208, USA.
Amanda C SharkoDepartment of Drug Discovery and Biomedical Sciences, South Carolina College of Pharmacy, University of South Carolina, Columbia, SC 29208, USA.
Jessica MunieDepartment of Drug Discovery and Biomedical Sciences, South Carolina College of Pharmacy, University of South Carolina, Columbia, SC 29208, USA.
Susannah KasslerDepartment of Drug Discovery and Biomedical Sciences, South Carolina College of Pharmacy, University of South Carolina, Columbia, SC 29208, USA.
Theresa MelendezDepartment of Drug Discovery and Biomedical Sciences, South Carolina College of Pharmacy, University of South Carolina, Columbia, SC 29208, USA.
Chang-Uk LimDepartment of Drug Discovery and Biomedical Sciences, South Carolina College of Pharmacy, University of South Carolina, Columbia, SC 29208, USA.
Eugenia V BroudeDepartment of Drug Discovery and Biomedical Sciences, South Carolina College of Pharmacy, University of South Carolina, Columbia, SC 29208, USA.
University of South Carolina · US

Funding

Targeting NMDA Receptors and Brain Estradiol to Rescue Memory in Aging FemalesP20GM109091 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI RONINSON, IGOR B · 2014 to 2024
$25.2M
TISSUE BIOREPOSITORY COREP30GM103336 · NIGMS · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI BERGER, FRANKLIN G. · 2013 to 2017
$5.4M
NIGMS NIH HHS P20 GM109091NIGMS NIH HHS P30 GM103336
6 · The paper itself

Abstract

CDK7, a transcriptional cyclin-dependent kinase, is emerging as a novel cancer target. Triple-negative breast cancers (TNBC) but not estrogen receptor-positive (ER+) breast cancers have been reported to be uniquely sensitive to the CDK7 inhibitor THZ1 due to the inhibition of a cluster of TNBC-specific genes. However, bioinformatic analysis indicates that CDK7 RNA expression is associated with negative prognosis in all the major subtypes of breast cancer. To further elucidate the effects of CDK7 inhibition in breast cancer, we profiled a panel of cell lines representing different breast cancer subtypes. THZ1 inhibited cell growth in all subtypes (TNBC, HER2+, ER+, and HER2+/ER+) with no apparent subtype selectivity. THZ1 inhibited CDK7 activity and induced G1 arrest and apoptosis in all the tested cell lines, but THZ1 sensitivity did not correlate with CDK7 inhibition or CDK7 expression levels. THZ1 sensitivity across the cell line panel did not correlate with TNBC-specific gene expression but it was found to correlate with the differential inhibition of three genes: CDKN1B, MYC and transcriptional coregulator CITED2. Response to THZ1 also correlated with basal CITED2 protein expression, a potential marker of CDK7 inhibitor sensitivity. Furthermore, all of the THZ1-inhibited genes examined were inducible by EGF but THZ1 prevented this induction. THZ1 had synergistic or additive effects when combined with the EGFR inhibitor erlotinib, with no outward selectivity for a particular subtype of breast cancer. These results suggest a potential broad utility for CDK7 inhibitors in breast cancer therapy and the potential for combining CDK7 and EGFR inhibitors.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsCell Line, TumorCyclin-Dependent Kinase-Activating KinaseCyclin-Dependent KinasesDrug SynergismErbB ReceptorsErlotinib HydrochlorideFemaleGene ExpressionHumansMCF-7 CellsPhenylenediaminesProtein Kinase InhibitorsPyrimidinesRepressor ProteinsCDK7 protein, humanCITED2 protein, humanCyclin-Dependent Kinase-Activating KinaseCyclin-Dependent KinasesEGFR protein, humanErbB ReceptorsErlotinib HydrochloridePhenylenediaminesProtein Kinase InhibitorsPyrimidinesRepressor ProteinsTHZ1 compoundTrans-Activatorsbreast cancerCDK7CITED2EGFRtranscription

Identifiers

PMID32155786
PMCPMC7140476
OpenAlexW3009333740

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.