Extracellular-Vesicle-Based Cancer Panels Diagnose Glioblastomas with High Sensitivity and Specificity

Author:

Mut Melike12ORCID,Adiguzel Zelal34,Cakir-Aktas Canan2,Hanalioğlu Şahin1,Gungor-Topcu Gamze3,Kiyga Ezgi3,Isikay Ilkay1,Sarac Aydan3,Soylemezoglu Figen5,Strobel Thomas6,Ampudia-Mesias Elisabet7,Cameron Charles7,Aslan Tulay1,Tekirdas Eray1,Hayran Mutlu8,Oguz Kader Karli9,Henzler Christine10ORCID,Saydam Nurten11,Saydam Okay7

Affiliation:

1. Department of Neurosurgery, Faculty of Medicine, Hacettepe University, Ankara 06230, Turkey

2. Institute of Neurological Sciences and Psychiatry, Hacettepe University, Ankara 06230, Turkey

3. TUBİTAK, GEBI, Gebze, Kocaeli 41470, Turkey

4. Faculty of Medicine KUTTAM, Koç University, Davutpaşa Street No. 4 Topkapi, Istanbul 34010, Turkey

5. Department of Pathology, Faculty of Medicine, Hacettepe University, Ankara 06230, Turkey

6. Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, 1090 Vienna, Austria

7. Division of Hematology and Oncology, Department of Pediatrics, Medical School, University of Minnesota, Minneapolis, MN 55455, USA

8. Department of Preventive Oncology, Hacettepe University Cancer Institute, Ankara 06230, Turkey

9. Department of Radiology, Faculty of Medicine, Hacettepe University, Ankara 06230, Turkey

10. Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN 55455, USA

11. ExoMed Diagnostic, Minneapolis, MN 55404, USA

Abstract

Glioblastoma is one of the most devastating neoplasms of the central nervous system. This study focused on the development of serum extracellular vesicle (EV)-based glioblastoma tumor marker panels that can be used in a clinic to diagnose glioblastomas and to monitor tumor burden, progression, and regression in response to treatment. RNA sequencing studies were performed using RNA isolated from serum EVs from both patients (n = 85) and control donors (n = 31). RNA sequencing results for preoperative glioblastoma EVs compared to control EVs revealed 569 differentially expressed genes (DEGs, 2XFC, FDR < 0.05). By using these DEGs, we developed serum-EV-based biomarker panels for the following glioblastomas: wild-type IDH1 (96% sensitivity/80% specificity), MGMT promoter methylation (91% sensitivity/73% specificity), p53 gene mutation (100% sensitivity/89% specificity), and TERT promoter mutation (89% sensitivity/100% specificity). This is the first study showing that serum-EV-based biomarker panels can be used to diagnose glioblastomas with a high sensitivity and specificity.

Funder

UMN, Medical School

Publisher

MDPI AG

Subject

Cancer Research,Oncology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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