Effects of Serglycan on Drug Resistance of Ovarian Cancer and Its Mechanism Based on Bioinformatics
- VernacularTitle:基于生物信息学分析丝甘蛋白聚糖对卵巢癌耐药性的影响及作用机制
- Author:
Dingwen XU
1
;
Yan XIONG
1
;
Huishen YAN
1
;
Sen LUO
1
;
Weijuan YAO
2
Author Information
1. School of Medical Science，Yangzhou Polytechnic College，Jiangsu Yangzhou 225009，China
2. School of Basic Medical Science，Peking University，Beijing 100191，China
- Publication Type:Journal Article
- Keywords:
Serglycan;
Ovarian cancer;
Drug resistance;
KEGG metabolism pathway;
Bioinformatics
- From:
China Pharmacy
2019;30(1):40-45
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE： To study the effects of serglycan （SRGN） on drug resistance of ovarian cancer and its mechanism. METHODS： Gene expression profile interactive analysis tool （GEPIA） was used to extract related data set of ovarian cancer and analyze the difference of mRNA expression of SRGN between normal ovary tissue and ovarian cancer tissue. Gene expression database （GEO） was adopted to obtain the difference of the mRNA expression of SRGN in cisplatin sensitive and cisplatin resistant cell lines （A2780）. STRING online database was used to screen proteins interacting with SRGN （confidence degree： 0.900， interactors： 10）. Adopted biological information annotation database （DAVID） to analysis Kyoto encyclopedia of genes and genomers（KEGG）metabolism pathway to predict the potential pathways of SRGN regulating drug resistance of ovarian cancer. Medical ontology information retrieval platform COREMINE was used to mine the biological processes of significant relationship of SRGN and ovarian cancer with drug resistance. RESULTS： mRNA expression of SRGN in ovarian cancer tissue was significantly higher than normal ovarian tissue （P＜0.05）. mRNA expression of SRGN in cisplatin resistant ovarian cancer was significantly higher than cisplatin sensitive ovarian cancer （P＜0.001）. 10 proteins interacting with SRGN were screened， including albumin， transforming growth factor β1， platelet factor 4， fibrinolysin and vascular endothelial growth factor A. SRGN participated in KEGG metabolism pathway of regulating drug resistance of ovarian cancer， including HIF1α pathway， cytokine-cytokine receptor pathway， coagulation and complement cascades pathway， etc. Biological processes included gene expression， cell growth， apoptosis and cell death. CONCLUSION： SRGN mediates drug resistance of ovarian cancer， which is associated with HIF1α signaling pathway and cytokine-cytokine receptor pathway.
