TCGA subtype analysis.

JR James Reigle
DS Dina Secic
JB Jacek Biesiada
CW Collin Wetzel
BS Behrouz Shamsaei
JC Johnson Chu
YZ Yuanwei Zang
XZ Xiang Zhang
NT Nicholas J. Talbot
MB Megan E. Bischoff
YZ Yongzhen Zhang
CT Charuhas V. Thakar
KG Krishnanath Gaitonde
AS Abhinav Sidana
HB Hai Bui
JC John T. Cunningham
QZ Qing Zhang
LS Laura S. Schmidt
WL W. Marston Linehan
MM Mario Medvedovic
DP David R. Plas
JF Julio A. Landero Figueroa
JM Jarek Meller
MC Maria F. Czyzyk-Krzeska
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The TCGA-KIRC cohort of 309 white males was used to determine the pattern of stratification by MG-154 signature. cBioportal (https://www.cbioportal.org/study/summary?id=kirc_tcga, Firehose Legacy) was used to extract sample-specific metadata, including overall survival and mutational profiles, whereas normalized RNA-Seq expression profiles were obtained using iLINCS (http://www.ilincs.org/ilincs/dataset/TCGA_KIRC_RNA-seqV2). The strata observed using the MG-154 signature and differential coexpression analysis were characterized in terms of stage, grade, survival, and mutational status. The R package Survival and cBioportal were used to generate Kaplan-Meier curves and assess statistical significance of differences in overall survival using a log-rank test. A χ2 test was used to determine differences in frequencies of stage, grade, and metastatic status of the subtypes. Subtypes observed in CTSC were mapped into TCGA subtypes using the nearest centroid analysis with Euclidean distance, where centroids for each TCGA subtype were defined as arithmetic averages of gene expression within each subtype, and each sample in the CTSC discovery cohort was mapped to the TCGA subtype centroid with the smallest distance.

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