Published in:
Open Access
01-12-2022 | Cancer Therapy | Letter to the Editor
Clustering cancers by shared transcriptional risk reveals novel targets for cancer therapy
Authors:
Hua Gao, Richard A. Baylis, Lingfeng Luo, Yoko Kojima, Caitlin F. Bell, Elsie G. Ross, Fudi Wang, Nicholas J. Leeper
Published in:
Molecular Cancer
|
Issue 1/2022
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Excerpt
The pursuit of targeted cancer therapies has greatly benefitted from the existence of large transcriptomic datasets, such as The Cancer Genome Atlas (TCGA), which have enabled the correlation of intra-tumoral gene expression with patient survival. Here, we use pathway enrichment data to identify three distinct groups of cancers characterized by cluster-specific biology and diverging mortality rates. To explore the clinical actionability of these findings, we leveraged the drug prediction algorithm, OCTAD [
1] to: (1) determine whether any promising investigational drugs can reverse these detrimental gene expression patterns; and (2) ascertain whether any FDA-approved drugs could be repurposed to improve cluster-specific cancer outcomes. …
