In Vitro Insertional Mutagenesis Screen Identifies Novel Genes Driving Breast Cancer Metastasis.


Journal

Molecular cancer research : MCR
ISSN: 1557-3125
Titre abrégé: Mol Cancer Res
Pays: United States
ID NLM: 101150042

Informations de publication

Date de publication:
04 10 2022
Historique:
received: 10 09 2021
revised: 07 02 2022
accepted: 08 06 2022
pubmed: 11 6 2022
medline: 6 10 2022
entrez: 10 6 2022
Statut: ppublish

Résumé

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. 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.

Identifiants

pubmed: 35687718
pii: 704871
doi: 10.1158/1541-7786.MCR-21-0772
doi:

Substances chimiques

DNA Transposable Elements 0
Receptors, G-Protein-Coupled 0
RNA 63231-63-0
Protein-Tyrosine Kinases EC 2.7.10.1

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1502-1515

Informations de copyright

©2022 American Association for Cancer Research.

Auteurs

Csaba Miskey (C)

Paul Ehrlich Institute, Department of Medical Biotechnology, Langen, Germany.

Lacramioara Botezatu (L)

Paul Ehrlich Institute, Department of Medical Biotechnology, Langen, Germany.

Nuri A Temiz (NA)

Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota.
Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota.

Andreas Gogol-Döring (A)

University of Applied Sciences Mittelhessen, Giessen, Germany.

Áron Bartha (Á)

Semmelweis University, Department of Bioinformatics and 2ndDepartment of Pediatrics, Budapest, Hungary.
Research Centre for Natural Sciences, Cancer Biomarker Research Group, Institute of Enzymology, Budapest, Hungary.

Balázs Győrffy (B)

Semmelweis University, Department of Bioinformatics and 2ndDepartment of Pediatrics, Budapest, Hungary.
Research Centre for Natural Sciences, Cancer Biomarker Research Group, Institute of Enzymology, Budapest, Hungary.

David A Largaespada (DA)

Department of Pediatrics, Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota.

Zoltán Ivics (Z)

Paul Ehrlich Institute, Department of Medical Biotechnology, Langen, Germany.

Attila Sebe (A)

Paul Ehrlich Institute, Department of Medical Biotechnology, Langen, Germany.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH