ArticleMolecular cancer therapeutics2015
Pharmacological profiling of kinase dependency in cell lines across triple-negative breast cancer subtypes.
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.
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Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
- Tinengotinib (TT-00420), a Novel Spectrum-Selective Small-Molecule Kinase Inhibitor, Is Highly Active Against Triple-Negative Breast Cancer.Molecular cancer therapeutics · 2023Article
- Differential responses to kinase inhibition in FGFR2-addicted triple negative breast cancer cells: a quantitative phosphoproteomics study.Scientific reports · 2020Article
- Phenotypic Screening Combined with Machine Learning for Efficient Identification of Breast Cancer-Selective Therapeutic Targets.Cell chemical biology · 2019Article
- NOTCH3 inactivation increases triple negative breast cancer sensitivity to gefitinib by promoting EGFR tyrosine dephosphorylation and its intracellular arrest.Oncogenesis · 2018Article
- Metabolic advantages and vulnerabilities in brain metastases.Clinical & experimental metastasis · 2017Review
- Network modeling of kinase inhibitor polypharmacology reveals pathways targeted in chemical screens.PloS one · 2017Article
- Progress towards a public chemogenomic set for protein kinases and a call for contributions.PloS one · 2017Article
- Down-regulation of PAR1 activity with a pHLIP-based allosteric antagonist induces cancer cell death.The Biochemical journal · 2015Article
- An integrated bioinformatics analysis to dissect kinase dependency in triple negative breast cancer.BMC genomics · 2015Article
- Analysis of PIK3CA Mutations and Activation Pathways in Triple Negative Breast Cancer.PloS one · 2015Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
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.
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Registered trials
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.