Characterization of adductomic totality of NNK, (R)-NNAL and (S)-NNAL in A/J mice, and their correlations with distinct lung carcinogenicity

Author:

Hu Qi1,Upadhyaya Pramod2,Hecht Stephen S2ORCID,Aly F Zahra3,Huo Zhiguang4ORCID,Xing Chengguo1ORCID

Affiliation:

1. Department of Medicinal Chemistry, College of Pharmacy, University of Florida, Gainesville, FL, USA

2. Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA

3. Department of Pathology, Immunology and Laboratory Medicine, University of Florida, 1345 Center Drive, Gainesville, FL, USA

4. Department of Biostatistics, College of Public Health & Health Professions, College of Medicine, University of Florida, Gainesville, FL, USA

Abstract

Abstract Lung cancer is the leading cause of cancer-related deaths. While tobacco use is the main cause, only 10–20% of smokers eventually develop clinical lung cancer. Thus, the ability of lung cancer risk prediction among smokers could transform lung cancer management with early preventive interventions. Given that DNA damage by tobacco carcinogens is the potential root cause of lung carcinogenesis, we characterized the adductomic totality of 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (a potent lung carcinogen in tobacco, commonly known as NNK) in the target lung tissues, the liver tissues and the peripheral serum samples in a single-dose NNK-induced lung carcinogenesis A/J mouse model. We also characterized these adductomic totalities from the two enantiomers of 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL, the major in vivo metabolite of NNK) given their distinct carcinogenicity in A/J mice. With these adductomic data, we demonstrated that tissue protein adductomics have the highest abundance. We also identified that the adductomic levels at the 8 h time point after carcinogen exposure were among the highest. More importantly, the relationships among these adductomics were characterized with overall strong positive linear correlations, demonstrating the potential of using peripheral serum protein adductomics to reflect DNA adductomics in the target lung tissues. Lastly, we explored the relationships of these adductomics with lung tumor status in A/J mice, providing preliminary but promising evidence of the feasibility of lung cancer risk prediction using peripheral adductomic profiling.

Funder

National Institutes of Health, Lung Cancer Research Foundation Research Grant on Disparities in Lung Cancer

Frank Duckworth Endowment College of Pharmacy University of Florida

Startup Fund University of Florida Health Cancer Center

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,General Medicine

Reference52 articles.

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