Molecular pathway activation features linked with transition from normal skin to primary and metastatic melanomas in human

被引:27
作者
Shepelin, Denis [1 ,2 ]
Korzinkin, Mikhail [1 ,3 ]
Vanyushina, Anna [4 ]
Aliper, Alexander [4 ]
Borisov, Nicolas [3 ,5 ]
Vasilov, Raif [5 ]
Zhukov, Nikolay [3 ,6 ]
Sokov, Dmitry [7 ]
Prassolov, Vladimir [8 ]
Gaifullin, Nurshat [9 ]
Zhavoronkov, Alex [10 ]
Bhullar, Bhupinder [11 ]
Buzdin, Anton [1 ,4 ,5 ]
机构
[1] Pathway Pharmaceut, Hong Kong, Hong Kong, Peoples R China
[2] Shemyakin Ovchinnikov Inst Bioorgan Chem, Grp Genom Anal Cell Signaling Syst, Moscow, Russia
[3] First Oncol Res & Advisory Ctr, Moscow, Russia
[4] D Rogachyov Fed Res Ctr Pediat Hematol Oncol & Im, Lab Bioinformat, Moscow, Russia
[5] Natl Res Ctr, Kurchatov Inst, Ctr Convergence Nano Bio Informat & Cognit Sci &, Moscow, Russia
[6] Pirogov Russian Natl Res Med Univ, Dept Oncol Hematol & Radiotherapy, Moscow, Russia
[7] Moscow 1st Oncol Hosp, Moscow, Russia
[8] Russian Acad Sci, Engelhardt Inst Mol Biol, Mosow, Russia
[9] Moscow MV Lomonosov State Univ, Fac Fundamental Med, Moscow, Russia
[10] Johns Hopkins Univ, ETC, Insilico Med Inc, Baltimore, MD USA
[11] Novartis Inst Biomed Res, Basel, Switzerland
基金
俄罗斯科学基金会;
关键词
transition from nevus to primary and metastatic melanoma; OncoFinder; intracellular molecular networks; metabolic and signaling pathways; machine learning algorithms; GENE-EXPRESSION; NITRIC-OXIDE; POLYAMINES; CANCER; MELANOCYTES; METABOLISM; THERAPY; REVEALS; GENOME; KINASE;
D O I
10.18632/oncotarget.6394
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Melanoma is the most aggressive and dangerous type of skin cancer, but its molecular mechanisms remain largely unclear. For transcriptomic data of 478 primary and metastatic melanoma, nevi and normal skin samples, we performed high-throughput analysis of intracellular molecular networks including 592 signaling and metabolic pathways. We showed that at the molecular pathway level, the formation of nevi largely resembles transition from normal skin to primary melanoma. Using a combination of bioinformatic machine learning algorithms, we identified 44 characteristic signaling and metabolic pathways connected with the formation of nevi, development of primary melanoma, and its metastases. We created a model describing formation and progression of melanoma at the level of molecular pathway activation. We discovered six novel associations between activation of metabolic molecular pathways and progression of melanoma: for allopregnanolone biosynthesis, L-carnitine biosynthesis, zymosterol biosynthesis (inhibited in melanoma), fructose 2, 6-bisphosphate synthesis and dephosphorylation, resolvin D biosynthesis (activated in melanoma), D-myo-inositol hexakisphosphate biosynthesis (activated in primary, inhibited in metastatic melanoma). Finally, we discovered fourteen tightly coordinated functional clusters of molecular pathways. This study helps to decode molecular mechanisms underlying the development of melanoma.
引用
收藏
页码:656 / 670
页数:15
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