Weighted correlation network analysis identifies multiple susceptibility loci for low‐grade glioma-Reference-Cited by-同舟云学术

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Weighted correlation network analysis identifies multiple susceptibility loci for low‐grade glioma

Published:2022-10-28 Issue:5 Volume:12 Page:6379-6387
ISSN:2045-7634
Container-title:Cancer Medicine
language:en
Short-container-title:Cancer Medicine

Author:

Niu Xiaodong¹^ORCID,Pan Qi²,Zhang Qianwen³,Wang Xiang¹,Liu Yanhui¹^ORCID,Li Yu⁴,Zhang Yuekang¹,Yang Yuan¹^ORCID,Mao Qing¹^ORCID

Affiliation:

1. Department of Neurosurgery and West China Glioma Center West China Hospital, Sichuan University Chengdu China

2. Department of Dermatology Chongqing Hospital of Traditional Chinese Medicine Chongqing China

3. Department of out‐patient West China Hospital, Sichuan University Chengdu China

4. Department of Anesthesia West China Hospital, Sichuan University Chengdu China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Sichuan University

Publisher

Wiley

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cam4.5368

Reference35 articles.

1. CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2013–2017

2. Isocitrate Dehydrogenase Mutations in Low-Grade Gliomas Correlate With Prolonged Overall Survival in Older Patients

3. Surgery for Diffuse WHO Grade II Gliomas: Volumetric Analysis of a Multicenter Retrospective Cohort From the German Study Group for Intraoperative Magnetic Resonance Imaging

4. The impact of surgery in molecularly defined low-grade glioma: an integrated clinical, radiological, and molecular analysis

5. MGMT promoter methylation level in newly diagnosed low-grade glioma is a predictor of hypermutation at recurrence

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