Journal: Nucleic Acids Research
Article Title: LinkedOmics: analyzing multi-omics data within and across 32 cancer types
doi: 10.1093/nar/gkx1090
Figure Lengend Snippet: Pan-cancer analysis for survival-associated gene expression signatures. ( A ) Twelve cancer types in the TCGA project with >100 death events. ( B ) The heat map shows the top 30 poor survival-associated genes. Each cell represents the signed –log 10 ( P -value). The right panel bar plot depicts corresponding meta-analysis based FDR. A and B share the same order of cancer types, as indicated below the heat map. ( C ) Increased expression of genes in the cell cycle pathway is associated with increased death risk (FDR<0.001, gene set enrichment analysis). Leading-edge genes are highlighted in red boxes in C. ( D–G ) Patients with above- (red) and below- (green) median APCDD1L mRNA abundance had significantly different survival rates in multiple cancer types such as bladder urothelial carcinoma (BLCA, D), head and neck squamous cell carcinoma (HNSC, E), kidney renal clear cell carcinoma (KIRC, F), and brain lower grade glioma (LGG, G).
Article Snippet: Genomic, epigenomic, and transcriptomic data for 32 TCGA cancer types were downloaded from the Firehose of the Broad Institute ( http://gdac.broadinstitute.org/ , January 2016 version).
Techniques: Gene Expression, Expressing