Pluto Bioinformatics

GSE132714: Transcriptional alterations in BPH

Bulk RNA sequencing

We identified a BPH transcriptional signature that included 392 significantly differential expressed genes between BPH and control samples, and validated this BPH transcriptional signature using two independent study cohorts. By performing integrative analysis using transcriptional and methylation profiling, we identified two distinct BPH subtypes, supporting robust biologically distinct subgroups across different data types. To validate these BPH subtypes, we tested our signature via k-means clustering in two independent cohorts, and identified nearly identical subgroups. To nominate potential subtype specific therapeutic options, we utilized a Connectivity Map analysis, and found 50% of nominated compounds in one subgroup were related to inhibition of mTOR signaling. SOURCE: Deli Liu (del2017@med.cornell.edu) - Weill Cornell Medicine