Kunz Manfred, Vera Julio
Department of Dermatology, Venereology and Allergology, University of Leipzig, Philipp-Rosenthal-Str. 23, 04103 Leipzig, Germany.
Laboratory of Systems Tumor Immunology, Department of Dermatology, Universitätsklinikum Erlangen and Friedrich-Alexander-Universität Erlangen-Nürnberg, Hartmannstr. 14, 91052 Erlangen, Germany.
Cancers (Basel). 2019 Apr 3;11(4):465. doi: 10.3390/cancers11040465.
Melanoma is a highly aggressive tumor with a strong dependence on intracellular signaling pathways. Almost half of all melanomas are driven by mutations in the v-Raf murine sarcoma viral oncogene homolog B () with V600E being the most prevalent mutation. Recently developed targeted treatment directed against mutant BRAF and downstream mitogen-activated protein kinase (MAPK) MAP2K1 (also termed MEK1) have improved overall survival of melanoma patients. However, the MAPK signaling pathway is far more complex than a single chain of consecutively activated MAPK enzymes and it contains nested-, inherent feedback mechanisms, crosstalk with other signaling pathways, epigenetic regulatory mechanisms, and interacting small non-coding RNAs. A more complete understanding of this pathway is needed to better understand melanoma development and mechanisms of treatment resistance. Network reconstruction, analysis, and modelling under the systems biology paradigm have been used recently in different malignant tumors including melanoma to analyze and integrate 'omics' data, formulate mechanistic hypotheses on tumorigenesis, assess and personalize anticancer therapy, and propose new drug targets. Here we review the current knowledge of network modelling approaches in cancer with a special emphasis on melanoma.
黑色素瘤是一种极具侵袭性的肿瘤,对细胞内信号通路有很强的依赖性。几乎一半的黑色素瘤是由v-Raf鼠肉瘤病毒癌基因同源物B()的突变驱动的,其中V600E是最常见的突变。最近开发的针对突变型BRAF和下游丝裂原活化蛋白激酶(MAPK)MAP2K1(也称为MEK1)的靶向治疗提高了黑色素瘤患者的总体生存率。然而,MAPK信号通路远比单一的连续激活的MAPK酶链复杂,它包含嵌套的、内在的反馈机制、与其他信号通路的串扰、表观遗传调控机制以及相互作用的小非编码RNA。需要更全面地了解这条通路,以更好地理解黑色素瘤的发展和治疗耐药机制。最近,在系统生物学范式下的网络重建、分析和建模已被用于包括黑色素瘤在内的不同恶性肿瘤,以分析和整合“组学”数据、制定肿瘤发生的机制假说、评估和个性化抗癌治疗,并提出新的药物靶点。在此,我们综述了癌症网络建模方法的当前知识,特别强调黑色素瘤。