HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Lipopolysaccharide-Mediated Chronic Inflammation Promotes Tobacco Carcinogen-Induced Lung Cancer and Determines the Efficacy of Immunotherapy.

Abstract
Chronic obstructive pulmonary disease (COPD) is an inflammatory disease that is associated with increased risk of lung cancer. Pseudomonas aeruginosa (PA) infections are frequent in patients with COPD, which increase lung inflammation and acute exacerbations. However, the influences of PA-induced inflammation on lung tumorigenesis and the efficacy of immune checkpoint blockade remain unknown. In this study, we initiated a murine model of lung cancer by treating FVB/NJ female mice with tobacco carcinogen nitrosamine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) alone or in combination with PA-lipopolysaccharide (LPS). LPS-mediated chronic inflammation induced T-cell exhaustion, increased the programmed cell death-1 (PD-1)/programmed cell death ligand-1 (PD-L1) axis, and enhanced NNK-induced lung tumorigenesis through an immunosuppressive microenvironment characterized by accumulation of myeloid-derived suppressive cells (MDSC) and regulatory T cells. Anti-PD-1 antibody treatment reduced tumors in NNK/LPS-treated mice with a 10-week LPS treatment but failed to inhibit tumor growth when LPS exposure was prolonged to 16 weeks. Anti-Ly6G antibody treatment coupled with depletion of MDSC alone reduced tumor growth; when combined with anti-PD-1 antibody, this treatment further enhanced antitumor activity in 16-week NNK/LPS-treated mice. Immune gene signatures from a human lung cancer dataset of PD-1 blockade were identified, which predicted treatment responses and survival outcome and overlapped with those from the mouse model. This study demonstrated that LPS-mediated chronic inflammation creates a favorable immunosuppressive microenvironment for tumor progression and correlates with the efficacy of anti-PD-1 treatment in mice. Immune gene signatures overlap with human and mouse lung tumors, providing potentially predictive markers for patients undergoing immunotherapy. SIGNIFICANCE: This study identifies an immune gene signature that predicts treatment responses and survival in patients with tobacco carcinogen-induced lung cancer receiving immune checkpoint blockade therapy.
AuthorsChia-Hsin Liu, Zhong Chen, Kong Chen, Fu-Tien Liao, Chia-En Chung, Xiaoping Liu, Yu-Chun Lin, Phouthone Keohavong, George D Leikauf, Yuanpu Peter Di
JournalCancer research (Cancer Res) Vol. 81 Issue 1 Pg. 144-157 (01 01 2021) ISSN: 1538-7445 [Electronic] United States
PMID33122306 (Publication Type: Journal Article, Research Support, N.I.H., Extramural, Research Support, N.I.H., Intramural)
Copyright©2020 American Association for Cancer Research.
Chemical References
  • Biomarkers, Tumor
  • Butanones
  • Carcinogens
  • Immune Checkpoint Inhibitors
  • Lipopolysaccharides
  • Nitrosamines
  • Pdcd1 protein, mouse
  • Programmed Cell Death 1 Receptor
  • nitrosamine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone
Topics
  • Animals
  • Biomarkers, Tumor (genetics, metabolism)
  • Butanones (toxicity)
  • Carcinogens (toxicity)
  • Female
  • Gene Expression Profiling
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Immune Checkpoint Inhibitors (pharmacology)
  • Inflammation (chemically induced, complications)
  • Lipopolysaccharides (toxicity)
  • Lung Neoplasms (drug therapy, etiology, metabolism, pathology)
  • Mice
  • Nitrosamines (toxicity)
  • Prognosis
  • Programmed Cell Death 1 Receptor (antagonists & inhibitors)
  • Survival Rate
  • Nicotiana (toxicity)
  • Tumor Microenvironment (drug effects, immunology)

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: