Novel Lung Cancer Model Mediated by Lentiviral Gene Delivery

Abstract

Lung cancer is the most common cancer in the world regarding to both incidence and mortality. It causes about 1.4 million deaths every year, which corresponds to almost one fourth of total cancer related deaths (1). To better understand the molecular mechanism of lung cancer and explore new therapies, good animal models that can faithfully recapitulate human disease is greatly needed. Recent whole genome sequencing data revealed at least 26 genes that are highly mutated in human lung adenocarcinoma samples (2, 3). In the original application, we proposed to establish a novel mouse model of lung cancer using our prestige lentiviral technology. The advantage of lentiviral vector is its capability of infecting any cell types and integrating into the genomic DNA (4). Thus, lentiviral vectors can be used to deliver oncogenes and shRNAs to defined cell types and initiate tumors in physiological environment. Our mouse model allows us to study these cancer mutations without generate huge amount of knockout or transgenic mouse lines. We proposed to use this unique mouse lung cancer model to study the crosstalk of tumor suppressor pathways, the cell origin of lung adenocarcinoma and the possible link of somatic cell reprogramming and tumorigenesis. We will summarize the research work conducted over the entire one year, which was supported by the FY09 LCRP Concept Award.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2011
Accession Number
ADA555966

Entities

People

  • Inder M. Verma

Organizations

  • Salk Institute for Biological Studies

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Adenocarcinoma
  • Biomedical Research
  • Cancer
  • Cell Physiological Processes
  • Cells
  • Co-Channel Interference
  • Culture Techniques
  • Gene Delivery
  • Infection
  • Lung Cancer
  • Mutations
  • Neoplasms
  • Stromal Cells
  • Suppressors
  • Therapy
  • Wound Infections

Fields of Study

  • Biology

Readers

  • Molecular Biology and Genetics
  • Oncology