American Association for Cancer Research
Browse

Supplementary Figure Legends 1-6 from Strain-Specific Variation in Murine Natural Killer Gene Complex Contributes to Differences in Immunosurveillance for Urethane-Induced Lung Cancer

Download (33.13 kB)
journal contribution
posted on 2023-03-30, 21:29 authored by Daniel Kreisel, Andrew E. Gelman, Ryuji Higashikubo, Xue Lin, Haris G. Vikis, J. Michael White, Kelsey A. Toth, Charuhas Deshpande, Beatriz M. Carreno, Ming You, Samantha M. Taffner, Wayne M. Yokoyama, Jack D. Bui, Robert D. Schreiber, Alexander S. Krupnick

PDF file - 33K

History

ARTICLE ABSTRACT

Non–small cell lung cancer (NSCLC) is the leading cause of cancer-related deaths worldwide and results from a complex interaction between carcinogen exposure and inherent susceptibility. Despite its prevalence, genetic factors that predispose to the development of lung cancer remain elusive. Inbred mouse models offer a unique and clinically relevant tool to study genetic factors that contribute to lung carcinogenesis due to the development of tumors that resemble human adenocarcinoma and broad strain-specific variation in cancer incidence after carcinogen administration. Here, we set out to investigate whether strain-specific variability in tumor immunosurveillance contributes to differences in lung cancer. Using bone marrow transplantation, we determined that hematopoietic cells from lung cancer–resistant mice could significantly impede the development of cancer in a susceptible strain. Furthermore, we show that this is not due to differences in tumor-promoting inflammatory changes or variability in immunosurveillance by the adaptive immune system but results from strain-specific differences in natural killer (NK) cell cytotoxicity. Using a newly discovered congenic strain of mice, we show a previously unrecognized role for strain-specific polymorphisms in the natural killer gene complex (NKC) in immunosurveillance for carcinogen-induced lung cancer. Because polymorphisms in the NKC are highly prevalent in man, our data may explain why certain individuals without obvious risk factors develop lung cancer whereas others remain resistant to the disease despite heavy environmental carcinogen exposure. Cancer Res; 72(17); 4311–7. ©2012 AACR.

Usage metrics

    Cancer Research

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC