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整合分子网络分析确定前列腺癌中出现的恩杂鲁胺耐药机制。

Integrative molecular network analysis identifies emergent enzalutamide resistance mechanisms in prostate cancer.

作者信息

King Carly J, Woodward Josha, Schwartzman Jacob, Coleman Daniel J, Lisac Robert, Wang Nicholas J, Van Hook Kathryn, Gao Lina, Urrutia Joshua, Dane Mark A, Heiser Laura M, Alumkal Joshi J

机构信息

Department of Biomedical Engineering, OHSU Center for Spatial Systems Biomedicine, Oregon Health and Science University, Portland, OR 97239, USA.

Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97239, USA.

出版信息

Oncotarget. 2017 Nov 20;8(67):111084-111095. doi: 10.18632/oncotarget.22560. eCollection 2017 Dec 19.

Abstract

Recent work demonstrates that castration-resistant prostate cancer (CRPC) tumors harbor countless genomic aberrations that control many hallmarks of cancer. While some specific mutations in CRPC may be actionable, many others are not. We hypothesized that genomic aberrations in cancer may operate in concert to promote drug resistance and tumor progression, and that organization of these genomic aberrations into therapeutically targetable pathways may improve our ability to treat CRPC. To identify the molecular underpinnings of enzalutamide-resistant CRPC, we performed transcriptional and copy number profiling studies using paired enzalutamide-sensitive and resistant LNCaP prostate cancer cell lines. Gene networks associated with enzalutamide resistance were revealed by performing an integrative genomic analysis with the PAthway Representation and Analysis by Direct Reference on Graphical Models (PARADIGM) tool. Amongst the pathways enriched in the enzalutamide-resistant cells were those associated with MEK, EGFR, RAS, and NFKB. Functional validation studies of 64 genes identified 10 candidate genes whose suppression led to greater effects on cell viability in enzalutamide-resistant cells as compared to sensitive parental cells. Examination of a patient cohort demonstrated that several of our functionally-validated gene hits are deregulated in metastatic CRPC tumor samples, suggesting that they may be clinically relevant therapeutic targets for patients with enzalutamide-resistant CRPC. Altogether, our approach demonstrates the potential of integrative genomic analyses to clarify determinants of drug resistance and rational co-targeting strategies to overcome resistance.

摘要

近期研究表明,去势抵抗性前列腺癌(CRPC)肿瘤存在无数控制癌症诸多特征的基因组畸变。虽然CRPC中的一些特定突变可能是可作用的靶点,但其他许多突变并非如此。我们推测,癌症中的基因组畸变可能协同作用以促进耐药性和肿瘤进展,并且将这些基因组畸变组织成可治疗靶向的通路可能会提高我们治疗CRPC的能力。为了确定恩杂鲁胺耐药性CRPC的分子基础,我们使用配对的恩杂鲁胺敏感和耐药LNCaP前列腺癌细胞系进行了转录和拷贝数分析研究。通过使用图形模型直接参考进行通路表示和分析(PARADIGM)工具进行综合基因组分析,揭示了与恩杂鲁胺耐药相关的基因网络。在恩杂鲁胺耐药细胞中富集的通路包括与MEK、EGFR、RAS和NFKB相关的通路。对64个基因的功能验证研究确定了10个候选基因,与敏感亲本细胞相比,抑制这些基因对恩杂鲁胺耐药细胞的细胞活力有更大影响。对患者队列的检查表明,我们功能验证的几个基因靶点在转移性CRPC肿瘤样本中失调,这表明它们可能是恩杂鲁胺耐药CRPC患者的临床相关治疗靶点。总之,我们的方法证明了综合基因组分析在阐明耐药性决定因素和合理联合靶向策略以克服耐药性方面的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0c0/5762307/8be772d3e55d/oncotarget-08-111084-g001.jpg

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