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Zhenlin Ju

Researcher at University of Texas MD Anderson Cancer Center

Publications -  91
Citations -  32598

Zhenlin Ju is an academic researcher from University of Texas MD Anderson Cancer Center. The author has contributed to research in topics: Cancer & Internal medicine. The author has an hindex of 41, co-authored 78 publications receiving 24951 citations. Previous affiliations of Zhenlin Ju include University of Texas Health Science Center at Houston.

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The cancer genome atlas pan-cancer analysis project

John N. Weinstein, +379 more
- 01 Oct 2013 - 
TL;DR: The Pan-Cancer initiative compares the first 12 tumor types profiled by TCGA with a major opportunity to develop an integrated picture of commonalities, differences and emergent themes across tumor lineages.
Journal Article

The Cancer Genome Atlas Pan-Cancer analysis project

Kyle Chang, +337 more
- 01 Sep 2013 - 
TL;DR: The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tumors to discover molecular aberrations at the DNA, RNA, protein and epigenetic levels as mentioned in this paper.
Journal ArticleDOI

Integrated genomic characterization of endometrial carcinoma

Gad Getz, +283 more
- 02 May 2013 - 
TL;DR: In this paper, the authors performed an integrated genomic, transcriptomic and proteomic characterization of 373 endometrial carcinomas using array-and-sequencing-based technologies, and classified them into four categories: POLE ultramutated, microsatellite instability hypermutated, copy-number low, and copy number high.

Integrated genomic characterization of endometrial carcinoma

Gad Getz, +271 more
TL;DR: The genomic features of endometrial carcinomas permit a reclassification that may affect post-surgical adjuvant treatment for women with aggressive tumours, and these features are classified into four categories: POLE ultramutated, microsatellite instability hypermutated, copy- number low, and copy-number high.
Journal ArticleDOI

Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas.

Daniel J. Brat, +306 more
TL;DR: The integration of genomewide data from multiple platforms delineated three molecular classes of lower-grade gliomas that were more concordant with IDH, 1p/19q, and TP53 status than with histologic class.