Abstract

Abstract Lung cancer is the leading cause of cancer deaths worldwide, with more than 1.3 million deaths annually. SCLC is a subtype of lung cancer representing ∼15% of all lung cancer cases, and is characterized by the rapid expansion and metastasis of small cells with neuroendocrine features. Patients are typically treated with 4-6 rounds of etoposide and a platinum-based agent, to which there is a 30-40% complete response rate. However, patients almost invariably relapse with disease that is resistant to their primary therapy, and rapidly succumb to their malignancy due to this chemoresistance. No targeted therapy has ever been approved despite numerous attempts. Consequently, 5-year survival for patients has hovered near 5% for the last 30 years. Drug repositioning, which is the discovery of new indications for existing drugs, is an increasingly attractive mode of therapeutic discovery. Recent advances in computing, concomitant with the increasing availability of large datasets, have enabled the development of in silico approaches to drug discovery. Here we applied a systematic drug-repositioning bioinformatics approach querying a large compendium of gene expression profiles to identify candidate FDA-approved drugs to treat small cell lung cancer (SCLC). We found that tricyclic antidepressants (TCAs) and related molecules, such as imipramine and promethazine, potently induce apoptosis in both chemonaïve and chemoresistant SCLC cells in culture, in mouse and human SCLC tumors transplanted into immunocompromised mice, and in endogenous tumors from a mouse model for human SCLC. The candidate drugs activate stress pathways and induce cell death in SCLC cells, at least in part by disrupting autocrine/paracrine survival signals involving neurotransmitters and their receptors. In particular, the mechanism of action of these drugs in inhibiting SCLC tumor growth is through antagonizing G- protein coupled receptors (GPCRs) and blocking signaling downstream, leading to a decrease in cAMP levels and PKA activity, subsequently resulting in activation of the c-Jun/JNK pathway. Moreover, TCAs induce rapid cell death in other neuroendocrine tumors, including carcinoid tumors and Merkel cell carcinoma. These experiments identify novel targeted strategies that can be rapidly evaluated in patients with neuroendocrine tumors through the repurposing of approved drugs. Since these drugs have already been vetted in terms of safety, dosage and toxicity, they can rapidly enter clinical trials. Citation Format: Nadine S. Jahchan, Joel T. Dudley, Pawel K. Mazur, Natasha Flores, Dian Yang, Alec Palmerton, Anne-Flore Zmoos, Dedeepya Vaka, Kim Q.t. Tran, Margaret Zhou, Karolina Krasinska, Jonathan W. Riess, Joel W. Neal, Purvesh Khatri, Kwon S. Park, Atul J. Butte, Julien Sage. A drug repositioning approach identifies tricyclic antidepressants as inhibitors of small cell lung cancer and other neuroendocrine tumors. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4610. doi:10.1158/1538-7445.AM2014-4610

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