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三阴性乳腺癌亚型细胞系中激酶依赖性的药理学分析。

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

作者信息

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

机构信息

Cancer Biology Program, Fox Chase Cancer Center, Philadelphia, Pennsylvania.

Biostatistics and Bioinformatics Department, Fox Chase Cancer Center, Philadelphia, Pennsylvania.

出版信息

Mol Cancer Ther. 2015 Jan;14(1):298-306. doi: 10.1158/1535-7163.MCT-14-0529. Epub 2014 Oct 24.

DOI:10.1158/1535-7163.MCT-14-0529
PMID:25344583
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4297247/
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.

摘要

三阴性乳腺癌(TNBC),雌激素受体、孕激素受体均为阴性且无ERBB2扩增,对标准靶向治疗耐药,预后较差。此外,它们在基因组改变方面高度异质,尽管大量证据表明激酶信号失调,但缺乏常见的治疗靶点。最近,基于基因表达鉴定出TNBC的六种亚型,并提出这些亚型可预测对包括激酶抑制剂在内的多种治疗药物的敏感性。为验证这一假设,我们在一组代表所有六种亚型的TNBC细胞系中,筛选了大量特征明确的小分子激酶抑制剂,以检测其对细胞生长的抑制作用。对激酶抑制的敏感性与TNBC亚型的相关性较差。相反,无监督聚类根据包括对表皮生长因子信号的依赖性和PTEN肿瘤抑制基因的突变等临床相关特征对TNBC细胞系进行了分类。我们还报告了对这些组具有选择性毒性的激酶抑制剂的发现。然而,总体而言,TNBC细胞系对激酶抑制表现出不同的敏感性,这与该疾病中缺乏常见的驱动突变一致。尽管我们的研究结果支持TNBC亚群中特定的激酶依赖性,但它们与基于基因表达的亚型无关。相反,我们发现突变状态可以有效预测TNBC亚群对特定激酶途径抑制的敏感性。

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本文引用的文献

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Targeting cyclin-dependent kinase 1 (CDK1) but not CDK4/6 or CDK2 is selectively lethal to MYC-dependent human breast cancer cells.靶向细胞周期蛋白依赖性激酶1(CDK1)而非CDK4/6或CDK2对MYC依赖性人乳腺癌细胞具有选择性致死性。
BMC Cancer. 2014 Jan 20;14:32. doi: 10.1186/1471-2407-14-32.
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Mutations in EGFR, BRAF and RAS are rare in triple-negative and basal-like breast cancers from Caucasian women.EGFR、BRAF 和 RAS 基因突变在高加索裔白人女性的三阴性和基底样乳腺癌中罕见。
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Tackling the diversity of triple-negative breast cancer.
表型筛选与机器学习相结合,以有效鉴定乳腺癌选择性治疗靶点。
Cell Chem Biol. 2019 Jul 18;26(7):970-979.e4. doi: 10.1016/j.chembiol.2019.03.011. Epub 2019 May 2.
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NOTCH3 inactivation increases triple negative breast cancer sensitivity to gefitinib by promoting EGFR tyrosine dephosphorylation and its intracellular arrest.NOTCH3失活通过促进表皮生长因子受体(EGFR)酪氨酸去磷酸化及其细胞内阻滞,增加三阴性乳腺癌对吉非替尼的敏感性。
Oncogenesis. 2018 May 25;7(5):42. doi: 10.1038/s41389-018-0051-9.
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