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Grunblatt E, Wu N, Zhang H, Liu X, Norton JP, Ohol Y, Leger P, Hiatt JB, Eastwood EC, Thomas R, Ibrahim AH, Jia D, Basom R, Eaton KD, Martins R, Houghton AM, MacPherson D. MYCN drives chemoresistance in small cell lung cancer while USP7 inhibition can restore chemosensitivity. Genes Dev 2020; 34:1210-1226. [PMID: 32820040 PMCID: PMC7462062 DOI: 10.1101/gad.340133.120] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 07/22/2020] [Indexed: 01/06/2023]
Abstract
Small cell lung cancer (SCLC) is an aggressive neuroendocrine cancer characterized by initial chemosensitivity followed by emergence of chemoresistant disease. To study roles for MYCN amplification in SCLC progression and chemoresistance, we developed a genetically engineered mouse model of MYCN-overexpressing SCLC. In treatment-naïve mice, MYCN overexpression promoted cell cycle progression, suppressed infiltration of cytotoxic T cells, and accelerated SCLC. MYCN overexpression also suppressed response to cisplatin-etoposide chemotherapy, with similar findings made upon MYCL overexpression. We extended these data to genetically perturb chemosensitive patient-derived xenograft (PDX) models of SCLC. In chemosensitive PDX models, overexpression of either MYCN or MYCL also conferred a switch to chemoresistance. To identify therapeutic strategies for MYCN-overexpressing SCLC, we performed a genome-scale CRISPR-Cas9 sgRNA screen. We identified the deubiquitinase USP7 as a MYCN-associated synthetic vulnerability. Pharmacological inhibition of USP7 resensitized chemoresistant MYCN-overexpressing PDX models to chemotherapy in vivo. Our findings show that MYCN overexpression drives SCLC chemoresistance and provide a therapeutic strategy to restore chemosensitivity.
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Affiliation(s)
- Eli Grunblatt
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Nan Wu
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Huajia Zhang
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
- Division of Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Xiaoli Liu
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
- Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou City, Henan Province 450008, China
| | - Justin P Norton
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Yamini Ohol
- RAPT Therapeutics, Inc., South San Francisco, California 94080, USA
| | - Paul Leger
- RAPT Therapeutics, Inc., South San Francisco, California 94080, USA
| | - Joseph B Hiatt
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Emily C Eastwood
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Rhiana Thomas
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Ali H Ibrahim
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Deshui Jia
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Ryan Basom
- Genomics and Bioinformatics Shared Resource, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - Keith D Eaton
- Division of Medical Oncology, Department of Medicine, University of Washington, Seattle, Washington 98195, USA
| | - Renato Martins
- Division of Medical Oncology, Department of Medicine, University of Washington, Seattle, Washington 98195, USA
| | - A McGarry Houghton
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
- Division of Clinical Research, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | - David MacPherson
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
- Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA
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Abstract
There has been little investigation of genetic factors and associated mechanisms that influence risk for development of methamphetamine (MA) dependence. Selectively bred mouse lines that exhibit high (MAHDR) or low (MALDR) levels of MA intake in a two-bottle choice MA drinking (MADR) procedure provide a genetic tool for this purpose. These lines were used to determine whether opioid sensitivity and MA intake are genetically associated, because opioid-mediated pathways influence some effects of MA. Sensitivity to the analgesic effects of the μ-opioid receptor (MOP-r) agonist fentanyl (0.05, 0.1, 0.2, 0.4 mg/kg) was examined using two acute thermal tests (hot plate and tail flick) and one chronic pain test (magnesium sulfate abdominal constriction). Locomotor stimulant responses to fentanyl (0.05, 0.1, 0.2, 0.4 mg/kg) and morphine (10, 20, 30 mg/kg) were also examined. In addition, MADR was measured in the progenitor strains [(C57BL/6J (B6), DBA/2J (D2)] of the F2 population from which the selected lines were generated. The MADR lines did not differ in sensitivity to the analgesic effects of fentanyl; however, MALDR mice exhibited greater locomotor activation than MAHDR mice to both fentanyl and morphine. D2 mice consumed more MA than B6 mice. The line differences for MA consumption and morphine activation recapitulated B6 and D2 strain differences for these two traits, but not strain differences previously found for opioid analgesic responses. These results support a negative genetic correlation between MA consumption and sensitivity to the stimulant effects of opioids and suggest the involvement of MOP-r regulated systems in MA intake.
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Affiliation(s)
- Emily C. Eastwood
- Department of Behavioral Neuroscience and Methamphetamine Abuse Research Center; Oregon Health & Science University; Portland OR USA
| | - Tamara J. Phillips
- Department of Behavioral Neuroscience and Methamphetamine Abuse Research Center; Oregon Health & Science University; Portland OR USA
- Veterans Affairs Medical Center; Portland OR USA
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Eastwood EC, Phillips TJ. Morphine intake and the effects of naltrexone and buprenorphine on the acquisition of methamphetamine intake. Genes Brain Behav 2013; 13:226-35. [PMID: 24152140 DOI: 10.1111/gbb.12100] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2013] [Revised: 09/23/2013] [Accepted: 10/21/2013] [Indexed: 11/29/2022]
Abstract
Some common genetic factors appear to influence risk for drug dependence across multiple drugs of abuse. In previous research, mice that were selectively bred for higher amounts of methamphetamine consumption, using a two-bottle choice methamphetamine drinking procedure, were found to be less sensitive to the locomotor stimulant effects of morphine and of the more selective μ-opioid receptor agonist fentanyl, compared to mice that were bred for low methamphetamine consumption. This suggested that μ-opioid receptor-mediated pathways may influence genetic risk for methamphetamine consumption. We hypothesized that these differences in opioid sensitivity would impact opioid intake in the methamphetamine drinking lines and that drugs with μ-opioid receptor activity would impact methamphetamine intake. Consumption of morphine was examined in 2, two-bottle choice studies, one that compared morphine to quinine consumption and another that used a saccharin fading procedure. Next, naltrexone (0, 0.5, 1, 2, 5, 10 and 20 mg/kg), a μ-opioid receptor antagonist, and buprenorphine (0, 1, 2 or 4 mg/kg), a μ-opioid receptor partial agonist, were each examined for their effects on the acquisition of methamphetamine consumption. Low methamphetamine drinking mice consumed more morphine compared to high methamphetamine drinking mice. Naltrexone did not alter methamphetamine consumption in either selected line; however, buprenorphine reduced methamphetamine intake in the high methamphetamine drinking line. These data show that greater sensitivity to opioids is associated with greater opioid intake and warrant further investigation of drugs with μ-opioid receptor-specific agonist activity in genetically determined differences in methamphetamine consumption.
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Affiliation(s)
- E C Eastwood
- Department of Behavioral Neuroscience and Methamphetamine Abuse Research Center, Oregon Health & Science University
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