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In Vitro Insertional Mutagenesis Screen Identifies Novel Genes Driving Breast Cancer Metastasis.
Miskey, Csaba; Botezatu, Lacramioara; Temiz, Nuri A; Gogol-Döring, Andreas; Bartha, Áron; Gyorffy, Balázs; Largaespada, David A; Ivics, Zoltán; Sebe, Attila.
Afiliação
  • Miskey C; Paul Ehrlich Institute, Department of Medical Biotechnology, Langen, Germany.
  • Botezatu L; Paul Ehrlich Institute, Department of Medical Biotechnology, Langen, Germany.
  • Temiz NA; Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota.
  • Gogol-Döring A; Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota.
  • Bartha Á; University of Applied Sciences Mittelhessen, Giessen, Germany.
  • Gyorffy B; Semmelweis University, Department of Bioinformatics and 2ndDepartment of Pediatrics, Budapest, Hungary.
  • Largaespada DA; Research Centre for Natural Sciences, Cancer Biomarker Research Group, Institute of Enzymology, Budapest, Hungary.
  • Ivics Z; Semmelweis University, Department of Bioinformatics and 2ndDepartment of Pediatrics, Budapest, Hungary.
  • Sebe A; Research Centre for Natural Sciences, Cancer Biomarker Research Group, Institute of Enzymology, Budapest, Hungary.
Mol Cancer Res ; 20(10): 1502-1515, 2022 10 04.
Article em En | MEDLINE | ID: mdl-35687718
ABSTRACT
Metastasis, a complex, multistep process, is responsible for the overwhelming majority of cancer-related deaths. Despite its devastating consequences, it is not possible to effectively treat cancer that has spread to vital organs, the mechanisms leading to metastasis are still poorly understood, and the catalog of metastasis promoting genes is still incomprehensive. To identify new driver genes of metastasis development, we performed an in vitro Sleeping Beauty transposon-based forward genetic screen in nonmetastatic SKBR3 human breast cancer cells. Boyden chamber-based matrix invasion assays were used to harvest cells that acquired a de novo invasive phenotype. Using targeted RNA sequencing data from 18 pools of invasive cells, we carried out a gene-centric candidate gene prediction and identified established and novel metastasis driver genes. Analysis of these genes revealed their association with metastasis related processes and we further established their clinical relevance in metastatic breast cancer. Two novel candidate genes, G protein-coupled receptor kinase interacting ArfGAP 2 (GIT2) and muscle-associated receptor tyrosine kinase (MUSK), were functionally validated as metastasis driver genes in a series of in vitro and in vivo experimental metastasis models. We propose that our robust and scalable approach will be a useful addition to the toolkit of methodologic resources used to identify genes driving cancer metastasis. IMPLICATIONS Novel metastasis drivers were identified in a human breast cancer cell line by performing an in vitro, Sleeping Beauty transposon-based forward genetic screen and an RNA fusion-based candidate gene prediction.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: Mol Cancer Res Assunto da revista: BIOLOGIA MOLECULAR / NEOPLASIAS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: Mol Cancer Res Assunto da revista: BIOLOGIA MOLECULAR / NEOPLASIAS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha