Unravelling the role of Exosomes as early non-invasive predictors of disease state in Glioblastoma

Author:

Upadhyay Vinal1,Bhadresha Kinjal1,Rawal Rakesh1ORCID

Affiliation:

1. Gujarat University

Abstract

Abstract Background Gliobastoma are the malignant grade 4 astrocytic tumours, which accounts for the major cause of recurrence or death amongst all the brain tumours. The biology to pathophysiology of the tumour being complex, the search for specific differential markers always remains the need of an hour for disease treatment and monitoring. Liquid biopsy approach has open newer avenues to study and regulate the disease in a non-invasive manner. The study focuses to find the some newer regulatory genes by a liquid biopsy approach. Methodology: Meta-analysis was carried for the already published datasets pertaining to Glioblastoma by Gene Spring software. The top listed genes were validated in tissue and exosomes of the patients. Sixty tissue samples and 30 blood (serum) samples were collected from the glioma patients. Expression analysis was carried out by quantitative real time PCR. The results were statistically analyzed using SPSS 16.0 and PRISM software. Results Meta-analysis fetched the top 9 highly upregulated genes inclusive of CD44, VEGFA, TGFβ1, THBS1, SERPINE1, TAGLN2, ATF3, FOSL2, FABP5. Amongst these genes, CD44, VEGFA, TGFβ1, THBS1 and SERPINE1 showed the significant differential expression between low grade and high grade gliomas tissue samples. These five significant genes when analysed in the exosomal RNA, prominent differential expression was observed. Conclusion The study conclusively shows that CD44, VEGFA, TGFβ1, THBS1 and SERPINE1 could collectively work as hub genes to differentiate high grade gliomas from low grade tumours. Moreover, blood serum could serve as a better liquid biopsy marker in case of high infiltrating GBM tumours.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3