Document Type
Article
Publication Date
1-30-2018
JAX Source
Oncotarget 2018; 9(8):7949-7960
Volume
9
Issue
8
First Page
7949
Last Page
7960
ISSN
1949-2553
PMID
29487705
DOI
https://doi.org/10.18632/oncotarget.23742
Grant
CA191848, CA034196
Abstract
Mutations in DNA repair genes lead to increased genomic instability and mutation frequency. These mutations represent potential biomarkers for cancer immunotherapy efficacy, as high tumor mutational burden has been associated with increased neo-antigens and tumor infiltrating lymphocytes. While mismatch repair mutations have successfully predicted response to anti-PD-1 therapy in colorectal and other cancers, they have not yet been tested for lung cancer, and few have investigated genes from other DNA repair pathways. We utilized TCGA samples to comprehensively immunophenotype lung tumors and analyze the links between DNA repair mutations, neo-antigen and total mutational burden, and tumor immune infiltration. Overall, 73% of lung tumors contained infiltration by at least one T cell subset, with high mutational burden tumors containing significantly increased infiltration by activated CD4 and CD8 T cells. Further, mutations in mismatch repair genes, homologous recombination genes, or POLE accurately predicted increased tumor mutational burden, neo-antigen load, and T cell infiltration. Finally, neo-antigen load correlated with expression of M1-polarized macrophage genes, PD-1, PD-L1, IFNγ, GZMB, and FASLG, among other immune-related genes. Overall, after defining the immune infiltrate in lung tumors, we demonstrate the potential value of utilizing gene mutations from multiple DNA repair pathways as biomarkers for lung cancer immunotherapy. Oncotarget 2018; 9(8):7949-7960
Recommended Citation
Chae Y,
Anker J,
Bais P,
Namburi S,
Giles F,
Chuang J.
Mutations in DNA repair genes are associated with increased neo-antigen load and activated T cell infiltration in lung adenocarcinoma. Oncotarget 2018; 9(8):7949-7960
Comments
This is an open access article under a Creative Commons Attribution 3.0 License.