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2017 ; 8
(21
): 34534-34551
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Transcriptional landscape of human cancers
#MMPMID28427185
Li M
; Sun Q
; Wang X
Oncotarget
2017[May]; 8
(21
): 34534-34551
PMID28427185
show ga
The homogeneity and heterogeneity in somatic mutations, copy number alterations
and methylation across different cancer types have been extensively explored.
However, the related exploration based on transcriptome data is lacking. In this
study we explored gene expression profiles across 33 human cancer types using The
Cancer Genome Atlas (TCGA) data. We identified consistently upregulated genes
(such as E2F1, EZH2, FOXM1, MYBL2, PLK1, TTK, AURKA/B and BUB1) and consistently
downregulated genes (such as SCARA5, MYOM1, NKAPL, PEG3, USP2, SLC5A7 and
HMGCLL1) across various cancers. The dysregulation of these genes is likely to be
associated with poor clinical outcomes in cancer. The dysregulated pathways
commonly in cancers include cell cycle, DNA replication, repair, and
recombination, Notch signaling, p53 signaling, Wnt signaling, TGF? signaling,
immune response etc. We also identified genes consistently upregulated or
downregulated in highly-advanced cancers compared to lowly-advanced cancers. The
highly (low) expressed genes in highly-advanced cancers are likely to have higher
(lower) expression levels in cancers than in normal tissue, indicating that
common gene expression perturbations drive cancer initiation and cancer
progression. In addition, we identified a substantial number of genes exclusively
dysregulated in a single cancer type or inconsistently dysregulated in different
cancer types, demonstrating the intertumor heterogeneity. More importantly, we
found a number of genes commonly dysregulated in various cancers such as PLP1,
MYOM1, NKAPL and USP2 which were investigated in few cancer related studies, and
thus represent our novel findings. Our study provides comprehensive portraits of
transcriptional landscape of human cancers.
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