Literature DB >> 29054994

Subtypes of Pediatric High-Grade Gliomas ID'd.

.   

Abstract

A molecular analysis that included genome sequencing, methylation profiling, and copy-number analysis divides pediatric glioma into 10 different categories. Tumors in each category carry distinct mutations, grow in different parts of the brain, and have varying impact on survival. The findings could lead to more effective treatments. ©2017 American Association for Cancer Research.

Entities:  

Year:  2017        PMID: 29054994     DOI: 10.1158/2159-8290.CD-NB2017-145

Source DB:  PubMed          Journal:  Cancer Discov        ISSN: 2159-8274            Impact factor:   39.397


  1 in total

Review 1.  A survey and evaluation of Web-based tools/databases for variant analysis of TCGA data.

Authors:  Zhuo Zhang; Hao Li; Shuai Jiang; Ruijiang Li; Wanying Li; Hebing Chen; Xiaochen Bo
Journal:  Brief Bioinform       Date:  2019-07-19       Impact factor: 11.622

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.