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不同表达的基因,miRNA和网络模型:阐明推动HNSCC瘤发生的分子相互作用的策略

Saniya Arfin¹, Dhruv Kumar¹, Andrea Lomagno^2,3

¹School of Health Sciences and Technology, University of Petroleum and Energy Studies, Dehradun 248007, Uttrakhand, India.

|September 9, 2023

概括

这项研究揭示了关键的基因-miRNA相互作用,推动了头部和部状细胞癌 (HNSCC) 的发展. 结果确定了在HNSCC中开发新药的潜在生物标志物.

科学领域:

在瘤学瘤学.
生物信息学是一种生物信息学.
基因组学就是基因组学.

背景情况:

头部和部状细胞癌 (HNSCC) 是一种普遍存在的癌症,在晚期有不良结果.
有限的治疗反应凸显了对新生物标志物和治疗点的需求.

研究的目的:

通过使用in silico方法研究HNSCC病变发生中的基因-miRNA相互作用.
在HNSCC中确定潜在的药物开发的拓生物标志物.

主要方法:

从HNSCC患者和对照组的基因和miRNA配置文件的回顾性in silico分析.
利用蛋白质-蛋白质相互作用 (PPI) 和双边miRNA-目标网络进行整体的重新评估.
确定了参与HNSCC的关键功能模块和分子参与者.

主要成果:

涉及HNSCC发病的主要功能模块包括细胞骨重塑,细胞外基质 (ECM) 相互作用,免疫反应,蛋白质分解和能量代谢.
确定了关键基因 (例如VEGFA,KRAS,TP53,MMPs) 和miRNA (例如mir-6728,mir-99a) 在HNSCC瘤发生过程中至关重要.
观察到一种协调的分子作用,促进细胞循环和增殖,同时抑制抑制基因.

结论:

这项研究阐明了推动HNSCC的关键分子相互作用,提供了对其复杂病原学的见解.
确定了潜在的生物标志物 (基因和miRNAs),需要进一步研究HNSCC的治疗策略.
这些发现支持继续研究HNSCC治疗的新分子点,尽管研究局限性和亚型异质性.

关键词:

DEGs 是一个DEG.个人个人信息网络PPI网络.这是一个双边网络网络.头部和部癌症是一种癌症.集线器是集线器的中心.这就是miRNAs.网络拓学网络拓学

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