Identification of key genes involved in the recurrence of glioblastoma multiforme using weighted gene co-expression network analysis and differential expression analysis-Reference-Cited by-同舟云学术

Identification of key genes involved in the recurrence of glioblastoma multiforme using weighted gene co-expression network analysis and differential expression analysis

Published:2021-01-01 Issue:1 Volume:12 Page:3188-3200
ISSN:2165-5979
Container-title:Bioengineered
language:en
Short-container-title:Bioengineered

Author:

Ren Peng¹,Wang JingYa²³,Li Lei²,Lin XiaoWan⁴,Wu GuangHan¹,Chen JiaYi¹,Zeng ZhiRui³,Zhang HongMei²

Affiliation:

1. Department of Anesthesiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China

2. Department of Gastroenterology, The Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China

3. Department of Physiology of Basic Medicine College, Guizhou Medical University, Guiyang, Guizhou, China

4. Department of Anesthesiology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China

Funder

Education Department of the Guizhou Province

Publisher

Informa UK Limited

Subject

Applied Microbiology and Biotechnology,General Medicine,Bioengineering,Biotechnology

Link

https://www.tandfonline.com/doi/pdf/10.1080/21655979.2021.1943986

Reference41 articles.

1. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary

2. Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial

3. The Role of Translocator Protein TSPO in Hallmarks of Glioblastoma

4. Prospective Feasibility Trial for Genomics-Informed Treatment in Recurrent and Progressive Glioblastoma

5. Hypofractionated Stereotactic Radiation Therapy in Recurrent High-Grade Glioma: A New Challenge

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