%0 Journal Article
%T 基于基因芯片分析的骨肉瘤多靶点研究<br> Multi-Target Study of Osteosarcoma Based on Microarray Analysis
%A 刘志萍
%A 周鑫
%A 林天昌
%A 程丽佳
%J Hans Journal of Biomedicine
%P 107-113
%@ 2161-8984
%D 2019
%I Hans Publishing
%R 10.12677/HJBM.2019.93016
%X <div style=\"text-align:justify;\">
	<span style=\"font-size:14px;\">目的：近年来，标准化和单靶向疗法对骨肉瘤都没有显著效果，因此，多靶向治疗骨肉瘤是目前发展的趋势。方法：通过基因数据库寻找到骨肉瘤相关芯片GSE16088，对正常骨和骨肉瘤芯片中基因的差异表达进行分析，并构建交互网络，最后基于其相互作用性强的基因进行骨肉瘤信号通路机制分析并找出多个靶点。结果：通过对骨肉瘤和正常骨组织基因芯片的差异表达分析，得出其差异表达最强的是胶原(Collagen, COL)系基因，并通过构建交互网络发现其致病相关通路为COL-MMPs-RhoA-JNK通路，基于此通路，可同时进行细胞质机制重塑和药物多靶向治疗。结论：多靶向COL-MMPs-RhoA-JNK通路中的关键基因是治疗骨肉瘤的一个新思路，为临床靶向治疗骨肉瘤提供更多的切入点。<br />
Objective:
In recent years, both standardized and single targeting methods have not been
effective in the treatment of osteosarcoma; therefore, multi-target therapy is
the trend of development on osteosarcoma. Methods: The differentially expressed
genes in normal bone and osteosarcoma microarray were analyzed and the
interactive network was constructed through searching for osteosarcoma related
chip GSE16088 in gene database. Finally, multiple targets were identified based
on these highly interacting genes. Results: The strongest differentially
expressed genes were collagen (COL) genes based on analyzing the differentially
expressed genes between osteosarcoma and normal bone tissues. And the
pathogenicity related pathway was COL-MMPs-RhoA-JNK pathway through the construction
of interactive network. Conclusion: COL-MMPs-RhoA-JNK pathway could be used to
multiple-target osteosarcoma, which provides more ideas for clinical treatment
of osteosarcoma.</span> 
</div>
%K 骨肉瘤，基因芯片，多靶向治疗，胶原<br> Osteosarcoma
%K Gene Chip
%K Multi-Target Therapy
%K Collagen
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=31132