2 research outputs found

    Integrative clinical transcriptome analysis reveals TMPRSS2ā€ERG dependency of prognostic biomarkers in prostate adenocarcinoma

    Get PDF
    In prostate adenocarcinoma (PCa), distinction between indolent and aggressive disease is challenging. Around 50% of PCa are characterized by TMPRSS2ā€ERG (T2E)ā€fusion oncoproteins defining two molecular subtypes (T2Eā€positive/negative). However, current prognostic tests do not differ between both molecular subtypes, which might affect outcome prediction. To investigate geneā€signatures associated with metastasis in T2Eā€positive and T2Eā€negative PCa independently, we integrated tumor transcriptomes and clinicopathological data of two cohorts (total n = 783), and analyzed metastasisā€associated geneā€signatures regarding the T2Eā€status. Here, we show that the prognostic value of biomarkers in PCa critically depends on the T2Eā€status. Using geneā€set enrichment analyses, we uncovered that metastatic T2Eā€positive and T2Eā€negative PCa are characterized by distinct geneā€signatures. In addition, by testing genes shared by several functional geneā€signatures for their association with eventā€free survival in a validation cohort (n = 272), we identified five genes (ASPN, BGN, COL1A1, RRM2 and TYMS)ā€”three of which are included in commercially available prognostic testsā€”whose high expression was significantly associated with worse outcome exclusively in T2Eā€negative PCa. Among these genes, RRM2 and TYMS were validated by immunohistochemistry in another validation cohort (n = 135), and several of them proved to add prognostic information to current clinicopathological predictors, such as Gleason score, exclusively for T2Eā€negative patients. No prognostic biomarkers were identified exclusively for T2Eā€positive tumors. Collectively, our study discovers that the T2Eā€status, which is per se not a strong prognostic biomarker, crucially determines the prognostic value of other biomarkers. Our data suggest that the molecular subtype needs to be considered when applying prognostic biomarkers for outcome prediction in PCa

    Oncogenic hijacking of a developmental transcription factor evokes vulnerability toward oxidative stress in Ewing sarcoma

    No full text
    Ewing sarcoma (EwS) is an aggressive childhood cancer likely originating from mesenchymal stem cells or osteo-chondrogenic progenitors. It is characterized by fusion oncoproteins involving EWSR1 and variable members of the ETS-family of transcription factors (in 85% FLI1). EWSR1-FLI1 can induce target genes by using GGAA-microsatellites as enhancers. Here, we show that EWSR1-FLI1 hijacks the developmental transcription factor SOX6 ā€“ a physiological driver of proliferation of osteo-chondrogenic progenitors ā€“ by binding to an intronic GGAA-microsatellite, which promotes EwS growth in vitro and in vivo. Through integration of transcriptome-profiling, published drug-screening data, and functional in vitro and in vivo experiments including 3D and PDX models, we discover that constitutively high SOX6 expression promotes elevated levels of oxidative stress that create a therapeutic vulnerability toward the oxidative stress-inducing drug Elesclomol. Collectively, our results exemplify how aberrant activation of a developmental transcription factor by a dominant oncogene can promote malignancy, but provide opportunities for tar- geted therapy
    corecore