Rlf–mycl gene fusion drives tumorigenesis and metastasis in a mouse model of small cell lung cancer

Metamia Ciampricotti, Triantafyllia Karakousi, Allison L. Richards, Àlvaro Quintanal-Villalonga, Angeliki Karatza, Rebecca Caeser, Emily A. Costa, Viola Allaj, Parvathy Manoj, Kyle B. Spainhower, Faruk E. Kombak, Francisco J. Sanchez-Rivera, Janneke E. Jaspers, Anastasia Maria Zavitsanou, Danilo Maddalo, Andrea Ventura, William M. Rideout, Elliot H. Akama-Garren, Tyler Jacks, Mark T.A. DonoghueTriparna Sen, Trudy G. Oliver, John T. Poirier, Thales Papagiannakopoulos, Charles M. Rudin

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Small cell lung cancer (SCLC) has limited therapeutic options and an exceptionally poor prognosis. Understanding the oncogenic drivers of SCLC may help define novel therapeutic targets. Recurrent genomic rearrangements have been identified in SCLC, most notably an in-frame gene fusion between RLF and MYCL found in up to 7% of the predominant ASCL1-expressing subtype. To explore the role of this fusion in oncogenesis and tumor progression, we used CRISPR/ Cas9 somatic editing to generate a Rlf–Mycl-driven mouse model of SCLC. RLF–MYCL fusion acceler-ated transformation and proliferation of murine SCLC and increased metastatic dissemination and the diversity of metastatic sites. Tumors from the RLF–MYCL genetically engineered mouse model displayed gene expression similarities with human RLF–MYCL SCLC. Together, our studies support RLF–MYCL as the first demonstrated fusion oncogenic driver in SCLC and provide a new preclinical mouse model for the study of this subtype of SCLC. SIGNIFICANCE: The biological and therapeutic implications of gene fusions in SCLC, an aggressive metastatic lung cancer, are unknown. Our study investigates the functional significance of the in-frame RLF–MYCL gene fusion by developing a Rlf–Mycl-driven genetically engineered mouse model and defining the impact on tumor growth and metastasis.

Original languageEnglish
Pages (from-to)3214-3229
Number of pages16
JournalCancer Discovery
Volume11
Issue number12
DOIs
StatePublished - Dec 2021
Externally publishedYes

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