加强胶质细胞瘤中分子网络的整体性研究
Strengthen the Study of the Global Nature of Molecular Networks in Gliomas
章翔 1毛星刚 1章薇 2薛小燕3
作者信息
- 1. 空军军医大学西京医院神经外科,陕西 西安 710032
- 2. 清华大学医学院,北京 100084;清华-IDK/麦戈文脑科学研究院,北京 100084;清华大学附属北京清华长庚医院神经外科,北京 102218;首都医科大学北京附属儿童医院神经外科,北京 100045
- 3. 空军军医大学药学系药理学教研室,陕西 西安 710032
- 折叠
摘要
胶质母细胞瘤(Glioblastoma,GBM)是由多种遗传和表观遗传学改变而驱动的一类疾病,单个或少数几个分子靶点可能不足以治愈这类肿瘤.特别是当前的很多研究,虽然在实验研究中取得了较好的结果,但是在临床治疗中却难以获得明显的疗效.这充分说明,人体内真实的肿瘤环境,是多因素驱动的一类疾病,而针对单一或少数几个靶点,是难以逆转肿瘤的恶性程度的.在这类多因素之中,最主要的一个方面就是基因表达的多样性.根据目前的研究报导,GBM中存在大量异常表达的基因,在这些异常基因中,是否存在单个或少数的基因可作为治疗的靶点?对于这一问题目前仍是未解之谜.然而,一个普遍接受的事实是,众多的分子存在相互作用,这种作用形成了一个复杂的分子互作网络(molecular interacting network,MINW)系统.这个MINW的整体性质,将最终影响肿瘤的进展和转归.本文就这一现象,进行归纳性小结,以飨读者.
Abstract
Glioblastoma(GBM)is a class of diseases driven by multiple genetic and epigenetic changes,and a single or few molecular targets may not be sufficient to cure this type of tumor.In particular,many current studies have achieved good results in experimental studies,but it is difficult to obtain obvious curative effect in clinical treatment.This fully shows that the real tumor environment in the human body is a kind of disease driven by multiple factors,and it is difficult to reverse the malignant degree of tumors by targeting a single or a few targets.One of the most important of these factors is the diversity of gene expression.According to current research reports,there are a large number of abnormally expressed genes in GBM.Among these abnormal genes,is there a single or a few genes that can be used as therapeutic targets?The question remains a mystery.However,it is generally accepted that a large number of molecules interact with each other,forming a complex system of molecular interacting networks(MINW).The overall nature of this MINW will ultimately affect the progression and outcome of the tumor.In this paper,an inductive summary is made for readers.
关键词
胶质母细胞瘤/免疫治疗/分子互作网络/蛋白互作/代数拓扑学/拓扑结构Key words
Glioblastoma/Immunotherapy/Molecular interaction network/Protein interaction/Algebraic topology/Topological structure引用本文复制引用
基金项目
国家自然科学基金资助项目(82273978)
国家自然科学基金资助项目(81972359)
空军军医大学临床医学+药学研究中心科研课题(LHJJ2023-YX19)
出版年
2024
NETL
NSTL
万方数据