Oliver Ocsenas

Somatic mutations in cancer genomes are associated with DNA replication timing (RT) and chromatin accessibility (CA), however these observations are based on normal tissues and cell lines while primary cancer epigenomes remain uncharacterised. Here we use machine learning to model megabase-scale mutation burden in 2,500 whole cancer genomes and 17 cancer types via a compendium of 900 CA and RT profiles covering primary cancers, normal tissues, and cell lines. CA profiles of primary cancers, rather than those of normal tissues, are most predictive of regional mutagenesis in most cancer types. Feature prioritisation shows that the epigenomes of matching cancer types and organ systems are often the strongest predictors of regional mutation burden, highlighting disease-specific associations of mutational processes. The genomic distributions of mutational signatures are also shaped by the epigenomes of matched cancer and tissue types, with SBS5/40, carcinogenic and unknown signatures most accurately predicted by our models. In contrast, fewer associations of RT and regional mutagenesis are found. Lastly, the models highlight genomic regions with overrepresented mutations that dramatically exceed epigenome-derived expectations and show a pan-cancer convergence to genes and pathways involved in development and oncogenesis, indicating the potential of this approach for coding and non-coding driver discovery. The association of regional mutational processes with the epigenomes of primary cancers suggests that the landscape of passenger mutations is predominantly shaped by the epigenomes of cancer cells after oncogenic transformation.

Group 3 (G3) medulloblastoma constitutes the most aggressive molecular subgroup, and nearly all patients present with metastases upon recurrence. Treatment for newly diagnosed medulloblastoma relies on a combination of maximal safe surgical resection, followed by chemotherapy and ionizing radiation, and no therapies have been shown to confer a survival benefit at the time of recurrence. Given the limited therapeutic options available for patients with medulloblastoma, especially at recurrence, and the incomplete understanding of the molecular mechanisms underlying resistance to treatment, we sought to uncover actionable targets and biomarkers that could help refine patient selection and treatment of newly diagnosed medulloblastoma to reduce the risk of recurrence. In clinically relevant mouse models of G3 medulloblastoma, CT-guided fractionated radiotherapy extended overall survival and induced the clonal selection of radioresistant subpopulations of tumor cells that drove medulloblastoma recurrence. Comparison of recurrent tumors with treatment-naïve newly diagnosed tumors revealed a gene expression signature that was found to be a biomarker of radioresistance and poor prognosis. This prognostic gene signature was shown to be subgroup specific in a large patient cohort. Recurrent tumors had elevated expression of carbonic anhydrase 4, and genetic and pharmacologic modulation of carbonic anhydrase 4 could promote or reduce resistance to radiotherapy. These data suggest that the FDA-approved carbonic anhydrase inhibitor acetazolamide may be a useful radiosensitizer to improve the efficacy of the treatment of newly diagnosed G3 medulloblastoma that could reduce the risk of tumor recurrence and improve survival in pediatric patients. SIGNIFICANCE: G3 medulloblastoma features a prognostic subgroup-specific gene expression signature and can be targeted with a carbonic anhydrase inhibitor to enhance radiosensitivity, reducing the risk of recurrence and improving survival.

Group 3 (G3) medulloblastoma constitutes the most aggressive molecular subgroup, and nearly all patients present with metastases upon recurrence. Treatment for newly diagnosed medulloblastoma relies on a combination of maximal safe surgical resection, followed by chemotherapy and ionizing radiation, and no therapies have been shown to confer a survival benefit at the time of recurrence. Given the limited therapeutic options available for patients with medulloblastoma, especially at recurrence, and the incomplete understanding of the molecular mechanisms underlying resistance to treatment, we sought to uncover actionable targets and biomarkers that could help refine patient selection and treatment of newly diagnosed medulloblastoma to reduce the risk of recurrence. In clinically relevant mouse models of G3 medulloblastoma, CT-guided fractionated radiotherapy extended overall survival and induced the clonal selection of radioresistant subpopulations of tumor cells that drove medulloblastoma recurrence. Comparison of recurrent tumors with treatment-naïve newly diagnosed tumors revealed a gene expression signature that was found to be a biomarker of radioresistance and poor prognosis. This prognostic gene signature was shown to be subgroup specific in a large patient cohort. Recurrent tumors had elevated expression of carbonic anhydrase 4, and genetic and pharmacologic modulation of carbonic anhydrase 4 could promote or reduce resistance to radiotherapy. These data suggest that the FDA-approved carbonic anhydrase inhibitor acetazolamide may be a useful radiosensitizer to improve the efficacy of the treatment of newly diagnosed G3 medulloblastoma that could reduce the risk of tumor recurrence and improve survival in pediatric patients. Significance: G3 medulloblastoma features a prognostic subgroup-specific gene expression signature and can be targeted with a carbonic anhydrase inhibitor to enhance radiosensitivity, reducing the risk of recurrence and improving survival.