Abstract
Abstract Designing targeted therapies for recurrent medulloblastomaPediatric brain tumors are the leading cause of cancer-related death in children, with medulloblastoma (MB) being the most common type. Despite significant progress in the field, approximately 30% of children with MB will relapse. Recurrent MB is commonly metastatic and virtually none of these patients will live beyond the one-year hallmark. These sobering statistics highlight the significant unmet need for effective therapies for recurrent MB. The likely underlying cause of the constant failure of our current clinical approaches, which are based on data obtained from disease models recapitulating primary tumors, is the disparity in genomic and transcriptomic data between primary and relapsed disease. Because of these disparities, we hypothesize that by conducting mechanistic studies and drug screens in relapse disease models, we can improve the outcomes for children with recurrent MB. Our data, obtained through a bioinformatics mining approach to predict tumor response, enabled us to identify a clinically relevant candidate drug for the treatment of recurrent MB: Minnelide. This compound acted on MYC to reduce tumor growth and the metastatic dissemination of tumors with the genetic background often found in relapsed MB patients. Additionally, to further support the translational relevance of our data, Minnelide increased the efficacy of adjuvant therapeutics used in the clinical management of MB. Our findings not only highlight the potential for repurposing Minnelide to treat children with recurrent MB, but also the potential of our research approaches aimed at identifying novel therapeutics for relapsed cancers. Citation Format: Jezabel Rodriguez Blanco. Designing targeted approaches for recurrent medulloblastoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5115.
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