Overexpression of prothymosin-α in glioma is associated with tumor aggressiveness and poor prognosis

Author:

Kumar Anurag1ORCID,Kumar Vikas1ORCID,Arora Mohit1ORCID,Kumar Manish2,Ammalli Prajwal3,Thakur Bhaskar4,Prasad Jitender5,Kumari Sarita6ORCID,Sharma Mehar Chand7,Kale Shashank Sharad8,Chauhan Shyam S.1ORCID

Affiliation:

1. Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India

2. Department of Biochemistry, All India Institute of Medical Sciences, Bilaspur, India

3. Department of Biochemistry, National Institute of Mental Health and Neuro-Sciences, Bengaluru, India

4. Division of Biostatistics, Kalinga Institute of Medical Sciences, KIIT University, Bhubaneswar, India

5. Department of Biochemistry, All India Institute of Medical Sciences, Deoghar, India

6. Lab Oncology Unit, Dr. B.R.A-IRCH, All India Institute of Medical Sciences, New Delhi, India

7. Department of Pathology, All India Institute of Medical Sciences, New Delhi, India

8. Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India

Abstract

Abstract Prothymosin-α (PTMA), a nuclear protein, is strikingly associated with unfavorable clinical outcomes in many cancers. However, no information about its clinical relevance in glioma was available. Therefore in the present study, we evaluated the prognostic utility of this protein in a cohort of 81 glioma patients. The PTMA expression was assessed by immunohistochemical analysis, quantitative PCR, and Western blotting. Furthermore, the association of PTMA with clinicopathological features and molecular alterations were assessed in the patient cohort and validated in multiomics datasets, The Cancer Genome Atlas (TCGA; n=667) and Chinese Glioma Genome Atlas (CGGA; n=1013). We observed an increase in PTMA expression with increasing histological grades of this malignancy. PTMA immunostaining also displayed a strong positive association with the MIB-1 index. Univariate analysis revealed a superior prognostic value of PTMA to predict overall survival (OS) as compared with the routinely used markers (p53, isocitrate dehydrogenase (IDH) 1 (IDH1), α-thalassemia/intellectual disability syndrome X-linked (ATRX), and Ki-67). Interestingly, in Cox regression analysis it emerged as an independent predictor of OS (hazard ratio (HR) = 13.71, 95% CI = 5.96–31.52, P<0.0001). Thus, our results demonstrate the potential prognostic utility of PTMA in glioma which may prove useful in the management of this deadly malignancy.

Publisher

Portland Press Ltd.

Subject

Cell Biology,Molecular Biology,Biochemistry,Biophysics

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