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PredictSNP2: A Unified Platform for Accurately Evaluating SNP Effects by Exploiting the Different Characteristics of Variants in Distinct Genomic Regions.PredictSNP2:一个通过利用不同基因组区域变异的不同特征来准确评估单核苷酸多态性(SNP)效应的统一平台。
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The kinome 'at large' in cancer.癌症中的激酶组全景。
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New Functional Signatures for Understanding Melanoma Biology from Tumor Cell Lineage-Specific Analysis.通过肿瘤细胞谱系特异性分析理解黑色素瘤生物学的新功能特征
Cell Rep. 2015 Oct 27;13(4):840-853. doi: 10.1016/j.celrep.2015.09.037. Epub 2015 Oct 17.
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Disease kinetics for decision-making in advanced melanoma: a call for scenario-driven strategy trials.晚期黑色素瘤决策的疾病动力学:呼吁开展基于情景的策略试验。
Lancet Oncol. 2015 Oct;16(13):e522-6. doi: 10.1016/S1470-2045(15)00003-0.
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Data mining The Cancer Genome Atlas in the era of precision cancer medicine.在精准癌症医学时代挖掘癌症基因组图谱数据。
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The E3 ligase APC/C(Cdh1) promotes ubiquitylation-mediated proteolysis of PAX3 to suppress melanocyte proliferation and melanoma growth.E3 泛素连接酶 APC/C(Cdh1)促进 PAX3 的泛素化介导的蛋白水解,以抑制黑素细胞增殖和黑色素瘤生长。
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A caveolin-dependent and PI3K/AKT-independent role of PTEN in β-catenin transcriptional activity.PTEN在β-连环蛋白转录活性中不依赖PI3K/AKT且依赖小窝蛋白的作用。
Nat Commun. 2015 Aug 26;6:8093. doi: 10.1038/ncomms9093.
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CDKN2B Loss Promotes Progression from Benign Melanocytic Nevus to Melanoma.CDKN2B缺失促进从良性黑素细胞痣到黑色素瘤的进展。
Cancer Discov. 2015 Oct;5(10):1072-85. doi: 10.1158/2159-8290.CD-15-0196. Epub 2015 Jul 16.
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Genomic landscape of carcinogen-induced and genetically induced mouse skin squamous cell carcinoma.致癌剂诱导和遗传诱导的小鼠皮肤鳞状细胞癌的基因组景观。
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10
Expression and clinicopathological significance of microRNA-21 and programmed cell death 4 in malignant melanoma.微小RNA-21和程序性细胞死亡蛋白4在恶性黑色素瘤中的表达及临床病理意义
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比较肿瘤基因组学研究确定酪氨酸激酶FES在黑色素瘤中为一种肿瘤抑制因子。

Comparative oncogenomics identifies tyrosine kinase FES as a tumor suppressor in melanoma.

作者信息

Olvedy Michael, Tisserand Julie C, Luciani Flavie, Boeckx Bram, Wouters Jasper, Lopez Sophie, Rambow Florian, Aibar Sara, Thienpont Bernard, Barra Jasmine, Köhler Corinna, Radaelli Enrico, Tartare-Deckert Sophie, Aerts Stein, Dubreuil Patrice, van den Oord Joost J, Lambrechts Diether, De Sepulveda Paulo, Marine Jean-Christophe

机构信息

Laboratory for Molecular Cancer Biology, Center for Cancer Biology, Vlaams Instituut voor Biotechnologie (VIB), Leuven, Belgium.

Laboratory for Molecular Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium.

出版信息

J Clin Invest. 2017 Jun 1;127(6):2310-2325. doi: 10.1172/JCI91291. Epub 2017 May 2.

DOI:10.1172/JCI91291
PMID:28463229
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5451227/
Abstract

Identification and functional validation of oncogenic drivers are essential steps toward advancing cancer precision medicine. Here, we have presented a comprehensive analysis of the somatic genomic landscape of the widely used BRAFV600E- and NRASQ61K-driven mouse models of melanoma. By integrating the data with publically available genomic, epigenomic, and transcriptomic information from human clinical samples, we confirmed the importance of several genes and pathways previously implicated in human melanoma, including the tumor-suppressor genes phosphatase and tensin homolog (PTEN), cyclin dependent kinase inhibitor 2A (CDKN2A), LKB1, and others. Importantly, this approach also identified additional putative melanoma drivers with prognostic and therapeutic relevance. Surprisingly, one of these genes encodes the tyrosine kinase FES. Whereas FES is highly expressed in normal human melanocytes, FES expression is strongly decreased in over 30% of human melanomas. This downregulation correlates with poor overall survival. Correspondingly, engineered deletion of Fes accelerated tumor progression in a BRAFV600E-driven mouse model of melanoma. Together, these data implicate FES as a driver of melanoma progression and demonstrate the potential of cross-species oncogenomic approaches combined with mouse modeling to uncover impactful mutations and oncogenic driver alleles with clinical importance in the treatment of human cancer.

摘要

鉴定致癌驱动因素并进行功能验证是推进癌症精准医学的关键步骤。在此,我们对广泛使用的BRAFV600E和NRASQ61K驱动的黑色素瘤小鼠模型的体细胞基因组图谱进行了全面分析。通过将这些数据与来自人类临床样本的公开可用基因组、表观基因组和转录组信息相结合,我们证实了先前在人类黑色素瘤中涉及的几个基因和途径的重要性,包括肿瘤抑制基因磷酸酶和张力蛋白同源物(PTEN)、细胞周期蛋白依赖性激酶抑制剂2A(CDKN2A)、LKB1等。重要的是,这种方法还鉴定出了其他具有预后和治疗相关性的潜在黑色素瘤驱动因素。令人惊讶的是,其中一个基因编码酪氨酸激酶FES。虽然FES在正常人类黑素细胞中高度表达,但在超过30%的人类黑色素瘤中FES表达强烈降低。这种下调与总体生存率差相关。相应地,在BRAFV600E驱动的黑色素瘤小鼠模型中,通过基因工程删除Fes会加速肿瘤进展。总之,这些数据表明FES是黑色素瘤进展的驱动因素,并证明了跨物种肿瘤基因组学方法与小鼠模型相结合在发现对人类癌症治疗具有临床重要性的有影响的突变和致癌驱动等位基因方面的潜力。