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癌症干细胞与慢循环表型:如何解开黑色素瘤中驱动治疗耐药性的死结

Cancer Stem Cells and the Slow Cycling Phenotype: How to Cut the Gordian Knot Driving Resistance to Therapy in Melanoma.

作者信息

Fattore Luigi, Mancini Rita, Ciliberto Gennaro

机构信息

Department of Research, Advanced Diagnostics and Technological Innovation, SAFU Laboratory, Translational Research Area, IRCCS Regina Elena National Cancer Institute, 00144 Rome, Italy.

Department of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori IRCCS, "Fondazione G. Pascale", 80131 Naples, Italy.

出版信息

Cancers (Basel). 2020 Nov 13;12(11):3368. doi: 10.3390/cancers12113368.

Abstract

Cancer stem cells (CSCs) have historically been defined as slow cycling elements that are able to differentiate into mature cells but without dedifferentiation in the opposite direction. Thanks to advances in genomic and non-genomic technologies, the CSC theory has more recently been reconsidered in a dynamic manner according to a "phenotype switching" plastic model. Transcriptional reprogramming rewires this plasticity and enables heterogeneous tumors to influence cancer progression and to adapt themselves to drug exposure by selecting a subpopulation of slow cycling cells, similar in nature to the originally defined CSCs. This model has been conceptualized for malignant melanoma tailored to explain resistance to target therapies. Here, we conducted a bioinformatics analysis of available data directed to the identification of the molecular pathways sustaining slow cycling melanoma stem cells. Using this approach, we identified a signature of 25 genes that were assigned to four major clusters, namely 1) kinases and metabolic changes, 2) melanoma-associated proteins, 3) Hippo pathway and 4) slow cycling/CSCs factors. Furthermore, we show how a protein-protein interaction network may be the main driver of these melanoma cell subpopulations. Finally, mining The Cancer Genome Atlas (TCGA) data we evaluated the expression levels of this signature in the four melanoma mutational subtypes. The concomitant alteration of these genes correlates with the worst overall survival (OS) for melanoma patients harboring BRAF-mutations. All together these results underscore the potentiality to target this signature to selectively kill CSCs and to achieve disease control in melanoma.

摘要

癌症干细胞(CSCs)在历史上被定义为能够分化为成熟细胞但不会逆向去分化的慢周期细胞成分。由于基因组和非基因组技术的进步,最近根据“表型转换”可塑性模型以动态方式重新审视了CSC理论。转录重编程改变了这种可塑性,使异质性肿瘤能够通过选择与最初定义的CSCs性质相似的慢周期细胞亚群来影响癌症进展并使其自身适应药物暴露。该模型已针对恶性黑色素瘤进行概念化,以解释对靶向治疗的耐药性。在此,我们对现有数据进行了生物信息学分析,旨在识别维持慢周期黑色素瘤干细胞的分子途径。使用这种方法,我们鉴定出了一个由25个基因组成的特征,这些基因被分为四个主要簇,即1)激酶和代谢变化、2)黑色素瘤相关蛋白、3)Hippo通路和4)慢周期/CSCs因子。此外,我们展示了蛋白质-蛋白质相互作用网络如何可能是这些黑色素瘤细胞亚群的主要驱动因素。最后,通过挖掘癌症基因组图谱(TCGA)数据,我们评估了该特征在四种黑色素瘤突变亚型中的表达水平。这些基因的同时改变与携带BRAF突变的黑色素瘤患者的最差总生存期(OS)相关。所有这些结果都强调了靶向该特征以选择性杀死CSCs并实现黑色素瘤疾病控制的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2abb/7696527/8a4975519560/cancers-12-03368-g001.jpg

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