Literature DB >> 25195596

Lentiviral vector-based insertional mutagenesis identifies genes involved in the resistance to targeted anticancer therapies.

Marco Ranzani1, Stefano Annunziato2, Andrea Calabria3, Stefano Brasca3, Fabrizio Benedicenti3, Pierangela Gallina3, Luigi Naldini4, Eugenio Montini5.   

Abstract

The high transduction efficiency of lentiviral vectors in a wide variety of cells makes them an ideal tool for forward genetics screenings addressing issues of cancer research. Although molecular targeted therapies have provided significant advances in tumor treatment, relapses often occur by the expansion of tumor cell clones carrying mutations that confer resistance. Identification of the culprits of anticancer drug resistance is fundamental for the achievement of long-term response. Here, we developed a new lentiviral vector-based insertional mutagenesis screening to identify genes that confer resistance to clinically relevant targeted anticancer therapies. By applying this genome-wide approach to cell lines representing two subtypes of HER2(+) breast cancer, we identified 62 candidate lapatinib resistance genes. We validated the top ranking genes, i.e., PIK3CA and PIK3CB, by showing that their forced expression confers resistance to lapatinib in vitro and found that their mutation/overexpression is associated to poor prognosis in human breast tumors. Then, we successfully applied this approach to the identification of erlotinib resistance genes in pancreatic cancer, thus showing the intrinsic versatility of the approach. The acquired knowledge can help identifying combinations of targeted drugs to overcome the occurrence of resistance, thus opening new horizons for more effective treatment of tumors.

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Year:  2014        PMID: 25195596      PMCID: PMC4429698          DOI: 10.1038/mt.2014.174

Source DB:  PubMed          Journal:  Mol Ther        ISSN: 1525-0016            Impact factor:   11.454


  53 in total

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4.  Erlotinib plus gemcitabine compared with gemcitabine alone in patients with advanced pancreatic cancer: a phase III trial of the National Cancer Institute of Canada Clinical Trials Group.

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Journal:  J Clin Oncol       Date:  2007-04-23       Impact factor: 44.544

5.  MicroRNA-221/222 confers tamoxifen resistance in breast cancer by targeting p27Kip1.

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Review 6.  Relevance of breast cancer cell lines as models for breast tumours: an update.

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Journal:  Breast Cancer Res Treat       Date:  2004-02       Impact factor: 4.872

Review 7.  High-throughput insertional mutagenesis screens in mice to identify oncogenic networks.

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Journal:  Nat Rev Cancer       Date:  2009-06       Impact factor: 60.716

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Authors:  A Follenzi; L E Ailles; S Bakovic; M Geuna; L Naldini
Journal:  Nat Genet       Date:  2000-06       Impact factor: 38.330

Review 10.  From bench to bedside: lessons learned in translating preclinical studies in cancer drug development.

Authors:  Christopher H Lieu; Aik-Choon Tan; Stephen Leong; Jennifer R Diamond; S Gail Eckhardt
Journal:  J Natl Cancer Inst       Date:  2013-09-19       Impact factor: 13.506

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  11 in total

1.  Lentiviral vector-mediated insertional mutagenesis screen identifies genes that influence androgen independent prostate cancer progression and predict clinical outcome.

Authors:  Arun K Nalla; Theodore F Williams; Casey P Collins; Dustin T Rae; Grant D Trobridge
Journal:  Mol Carcinog       Date:  2015-10-29       Impact factor: 4.784

Review 2.  CRISPR/Cas9 library screening for drug target discovery.

Authors:  Morito Kurata; Kouhei Yamamoto; Branden S Moriarity; Masanobu Kitagawa; David A Largaespada
Journal:  J Hum Genet       Date:  2017-11-20       Impact factor: 3.172

Review 3.  Lapatinib resistance in HER2+ cancers: latest findings and new concepts on molecular mechanisms.

Authors:  Huiping Shi; Weili Zhang; Qiaoming Zhi; Min Jiang
Journal:  Tumour Biol       Date:  2016-10-10

4.  adLIMS: a customized open source software that allows bridging clinical and basic molecular research studies.

Authors:  Andrea Calabria; Giulio Spinozzi; Fabrizio Benedicenti; Erika Tenderini; Eugenio Montini
Journal:  BMC Bioinformatics       Date:  2015-06-01       Impact factor: 3.169

Review 5.  Identifying Cancer Driver Genes Using Replication-Incompetent Retroviral Vectors.

Authors:  Victor M Bii; Grant D Trobridge
Journal:  Cancers (Basel)       Date:  2016-10-25       Impact factor: 6.639

6.  A comprehensive genomic meta-analysis identifies confirmatory role of OBSCN gene in breast tumorigenesis.

Authors:  Barani Kumar Rajendran; Chu-Xia Deng
Journal:  Oncotarget       Date:  2017-08-23

7.  VISPA2: a scalable pipeline for high-throughput identification and annotation of vector integration sites.

Authors:  Giulio Spinozzi; Andrea Calabria; Stefano Brasca; Stefano Beretta; Ivan Merelli; Luciano Milanesi; Eugenio Montini
Journal:  BMC Bioinformatics       Date:  2017-11-25       Impact factor: 3.169

Review 8.  FAM83 proteins: Fostering new interactions to drive oncogenic signaling and therapeutic resistance.

Authors:  Courtney A Bartel; Neetha Parameswaran; Rocky Cipriano; Mark W Jackson
Journal:  Oncotarget       Date:  2016-08-09

9.  Replication-incompetent gammaretroviral and lentiviral vector-based insertional mutagenesis screens identify prostate cancer progression genes.

Authors:  Victor M Bii; Casey P Collins; Jonah D Hocum; Grant D Trobridge
Journal:  Oncotarget       Date:  2018-02-15

10.  Production of Lentiviral Vectors Using Suspension Cells Grown in Serum-free Media.

Authors:  Matthew Bauler; Jessica K Roberts; Chang-Chih Wu; Baochang Fan; Francesca Ferrara; Bon Ham Yip; Shiyong Diao; Young-In Kim; Jennifer Moore; Sheng Zhou; Matthew M Wielgosz; Byoung Ryu; Robert E Throm
Journal:  Mol Ther Methods Clin Dev       Date:  2019-11-26       Impact factor: 6.698

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