| Literature DB >> 33200242 |
María Belen Cancela1,2, Santiago Zugbi1,2, Ursula Winter3, Ana Laura Martinez1, Claudia Sampor4, Mariana Sgroi5, Jasmine H Francis6, Ralph Garippa7, David H Abramson6, Guillermo Chantada1,2, Paula Schaiquevich8,9.
Abstract
Intraocular retinoblastoma treatment has changed radically over the last decade, leading to a notable improvement in ocular survival. However, eyes that relapse remain difficult to treat, as few alternative active drugs are available. More challenging is the scenario of central nervous system (CNS) metastasis, in which almost no advancements have been made. Both clinical scenarios represent an urgent need for new drugs. Using an integrated multidisciplinary approach, we developed a decision process for prioritizing drug selection for local (intravitreal [IVi], intrathecal/intraventricular [IT/IVt]), systemic, or intra-arterial chemotherapy (IAC) treatment by means of high-throughput pharmacological screening of primary cells from two patients with intraocular tumor and CNS metastasis and a thorough database search to identify clinical and biopharmaceutical data. This process identified 169 compounds to be cytotoxic; only 8 are FDA-approved, lack serious toxicities and available for IVi administration. Four of these agents could also be delivered by IT/IVt. Twelve FDA-approved drugs were identified for systemic delivery as they are able to cross the blood-brain barrier and lack serious adverse events; four drugs are of oral usage and six compounds that lack vesicant or neurotoxicity could be delivered by IAC. We also identified promising compounds in preliminary phases of drug development including inhibitors of survivin, antiapoptotic Bcl-2 family proteins, methyltransferase, and kinesin proteins. This systematic approach may be applied more broadly to prioritize drugs to be repurposed or to identify novel hits for use in retinoblastoma treatment.Entities:
Keywords: Decision process; High-throughput drug screening; Intraocular; Metastasis; Retinoblastoma
Mesh:
Year: 2020 PMID: 33200242 PMCID: PMC8488950 DOI: 10.1007/s10637-020-01030-0
Source DB: PubMed Journal: Invest New Drugs ISSN: 0167-6997 Impact factor: 3.850