Tirtha Das1, Ross Cagan. 1. Department of Developmental and Regenerative Biology, Mount Sinai School of Medicine, New York, New York 10029, USA.
Abstract
BACKGROUND: Multiple endocrine neoplasia type II (MEN2) is a rare but aggressive cancer for which no effective treatment currently exists. A Drosophila model was developed to identify novel genetic modifier loci of oncogenic RET, as well as to provide a whole animal system to rapidly identify compounds that suppressed RET-dependent MEN2. ZD6474 (Vandetanib), currently in phase III trials, suppressed tumorigenesis in MEN2 model flies, demonstrating for the first time the effectiveness of a Drosophila-based whole animal model for identifying therapeutically useful compounds. SUMMARY: Clinical data suggest that drug mono-therapy for MEN2 and other cancers typically yield only moderate benefits as patients develop drug resistance and suffer from drug-induced pathway feedback. Combinations of drugs that target different nodes of the oncogenic pathway are an effective way to prevent resistance as well as feedback. Identifying the optimal drug-dose combinations for therapy poses a significant challenge in existing mouse models. Fly models offer a means to quickly and effectively identify drug combinations that are well tolerated and potently suppress the MEN2 phenotype. This approach may also identify differences in therapeutic responses between the two subtypes of MEN2--MEN2A and MEN2B--providing additional therapeutic insights. CONCLUSIONS: Fly models have proven useful for identifying known drugs as well as novel compounds that, as single agents or in combinations, effectively suppress the MEN2 syndrome. These findings validate the use of fly models for both drug discovery as well as identification of useful drug combinations. In the future, rapid pairing of new genomic information with increasingly complex fly models will aid us in efforts to further tailor drug treatments toward personalized medicine.
BACKGROUND:Multiple endocrine neoplasia type II (MEN2) is a rare but aggressive cancer for which no effective treatment currently exists. A Drosophila model was developed to identify novel genetic modifier loci of oncogenic RET, as well as to provide a whole animal system to rapidly identify compounds that suppressed RET-dependent MEN2. ZD6474 (Vandetanib), currently in phase III trials, suppressed tumorigenesis in MEN2 model flies, demonstrating for the first time the effectiveness of a Drosophila-based whole animal model for identifying therapeutically useful compounds. SUMMARY: Clinical data suggest that drug mono-therapy for MEN2 and other cancers typically yield only moderate benefits as patients develop drug resistance and suffer from drug-induced pathway feedback. Combinations of drugs that target different nodes of the oncogenic pathway are an effective way to prevent resistance as well as feedback. Identifying the optimal drug-dose combinations for therapy poses a significant challenge in existing mouse models. Fly models offer a means to quickly and effectively identify drug combinations that are well tolerated and potently suppress the MEN2 phenotype. This approach may also identify differences in therapeutic responses between the two subtypes of MEN2--MEN2A and MEN2B--providing additional therapeutic insights. CONCLUSIONS: Fly models have proven useful for identifying known drugs as well as novel compounds that, as single agents or in combinations, effectively suppress the MEN2 syndrome. These findings validate the use of fly models for both drug discovery as well as identification of useful drug combinations. In the future, rapid pairing of new genomic information with increasingly complex fly models will aid us in efforts to further tailor drug treatments toward personalized medicine.
Authors: Amy R Jones; Tiffany R Bell-Horwath; Guorui Li; Stephanie M Rollmann; Edward J Merino Journal: Chem Res Toxicol Date: 2012-10-22 Impact factor: 3.739
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Authors: Robert Kraft; Allon Kahn; José L Medina-Franco; Mikayla L Orlowski; Cayla Baynes; Fabian López-Vallejo; Kobus Barnard; Gerald M Maggiora; Linda L Restifo Journal: Dis Model Mech Date: 2012-08-23 Impact factor: 5.758