Single-cell genomics analysis reveals complex genetic interactions in an in vivo model of acquired BRAF inhibitor resistance

Author:

Schillo Jacob L12ORCID,Feddersen Charlotte R13,Peplinski Rebekah M12,Powell Lexy S1,Varzavand Afshin45,Stipp Christopher S45,Riordan Jesse D1,Dupuy Adam J145ORCID

Affiliation:

1. Department of Anatomy & Cell Biology, Carver College of Medicine, The University of Iowa , Iowa City, IA 52242, USA

2. Interdisciplinary Graduate Program in Genetics, The University of Iowa , Iowa City, IA 52242, USA

3. Medical Scientist Training Program, The University of Iowa , Iowa City, IA 52242, USA

4. Holden Comprehensive Cancer Center, Carver College of Medicine, The University of Iowa , Iowa City , IA  52242 , USA

5. Department of Biology, The University of Iowa , Iowa City , IA 52242 , USA

Abstract

Abstract The evolution of therapeutic resistance is a major obstacle to the success of targeted oncology drugs. While both inter- and intratumoral heterogeneity limit our ability to detect resistant subpopulations that pre-exist or emerge during treatment, our ability to analyze tumors with single-cell resolution is limited. Here, we utilized a cell-based transposon mutagenesis method to identify mechanisms of BRAF inhibitor resistance in a model of cutaneous melanoma. This screen identified overexpression of NEDD4L and VGLL3 as significant drivers of BRAF inhibitor resistance in vivo. In addition, we describe a novel single-cell genomics profiling method to genotype thousands of individual cells within tumors driven by transposon mutagenesis. This approach revealed a surprising genetic diversity among xenograft tumors and identified recurrent co-occurring mutations that emerge within distinct tumor subclones. Taken together, these observations reveal an unappreciated genetic complexity that drives BRAF inhibitor resistance.

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

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