Evidence map›Paper›PMID 25344583›Full record

ArticleMolecular cancer therapeutics2015

Pharmacological profiling of kinase dependency in cell lines across triple-negative breast cancer subtypes.

Lauren S Fink, Alexander Beatty, Karthik Devarajan, Suraj Peri, Jeffrey R Peterson

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cancer therapeutics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  5. Metabolic advantages and vulnerabilities in brain metastases.Clinical & experimental metastasis · 2017
    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

5 authors at 1 institution in 1 country.

Lauren S FinkCancer Biology Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania.
Alexander BeattyCancer Biology Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania.
Karthik DevarajanBiostatistics and Bioinformatics Department, Fox Chase Cancer Center, Philadelphia, Pennsylvania.
Suraj PeriBiostatistics and Bioinformatics Department, Fox Chase Cancer Center, Philadelphia, Pennsylvania.
Jeffrey R PetersonCancer Biology Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania. Jeffrey.Peterson@fccc.edu.
Fox Chase Cancer Center · US

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Eric Andrew Ross · 1985 to 2026
$138.8M
TRAINING PROGRAM IN CANCER RESEARCHT32CA009035 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI CHERNOFF, JONATHAN · 1985 to 2020
$10.5M
Specificity of Effector Activation by Rho Family GTPasesR01GM083025 · NIGMS · RESEARCH INST OF FOX CHASE CAN CTR · PI PETERSON, JEFFREY R · 2008 to 2018
$3.2M
NCI NIH HHS P30 CA006927NCI NIH HHS T32 CA009035NIGMS NIH HHS R01 GM083025
6 · The paper itself

Abstract

Triple-negative breast cancers (TNBC), negative for estrogen receptor, progesterone receptor, and ERBB2 amplification, are resistant to standard targeted therapies and exhibit a poor prognosis. Furthermore, they are highly heterogeneous with respect to genomic alterations, and common therapeutic targets are lacking though substantial evidence implicates dysregulated kinase signaling. Recently, six subtypes of TNBC were identified based on gene expression and were proposed to predict sensitivity to a variety of therapeutic agents including kinase inhibitors. To test this hypothesis, we screened a large collection of well-characterized, small molecule kinase inhibitors for growth inhibition in a panel of TNBC cell lines representing all six subtypes. Sensitivity to kinase inhibition correlated poorly with TNBC subtype. Instead, unsupervised clustering segregated TNBC cell lines according to clinically relevant features including dependence on epidermal growth factor signaling and mutation of the PTEN tumor suppressor. We further report the discovery of kinase inhibitors with selective toxicity to these groups. Overall, however, TNBC cell lines exhibited diverse sensitivity to kinase inhibition consistent with the lack of common driver mutations in this disease. Although our findings support specific kinase dependencies in subsets of TNBC, they are not associated with gene expression-based subtypes. Instead, we find that mutation status can be an effective predictor of sensitivity to inhibition of particular kinase pathways for subsets of TNBC.

Indexed as

Cell Line, TumorCell ProliferationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMutationProtein Kinase InhibitorsProtein KinasesPTEN PhosphohydrolaseTriple Negative Breast NeoplasmsProtein Kinase InhibitorsProtein KinasesPTEN PhosphohydrolasePTEN protein, human

Identifiers

PMID25344583
PMCPMC4297247
OpenAlexW2096258800

What Socratic 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 Socratic graph.