Urinary cotinine is as good a biomarker as serum cotinine for cigarette smoking exposure and lung cancer risk prediction

Claire E. Thomas, Renwei Wang, Jennifer Adams-Haduch, Sharon E. Murphy, Per Magne Ueland, Øivind Midttun, Paul Brennan, Mattias Johansson, Yu Tang Gao, Jian Min Yuan

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Background: Cotinine is a metabolite of nicotine. Serum and urinary cotinine are validated biomarkers for cigarette exposure. Their performance for lung cancer risk prediction has not been simultaneously examined in epidemiologic studies. Methods: A nested case–control study, including 452 incident lung cancer cases and 452 smoking-matched controls in the Shanghai cohort study, was conducted. Mass spectrometry–based methods were used to quantify cotinine in serum and urine samples collected from current smokers at baseline, on average 10 years before cancer diagnosis of cases. Logistic regression was used to estimate ORs, 95% confidence intervals (CI), and AUC ROC for lung cancer associated with higher levels of cotinine. Results: Serum and urinary cotinine levels were significantly higher in lung cancer cases than controls. Compared with the lowest quartile serum cotinine (≤0.40 nmol/mL), the OR of lung cancer for smokers in the highest quartiles (>1.39 nmol/mL) was 5.46 (95% CI, 3.38–8.81). Similarly, the OR was 5.49 (95% CI, 3.39–8.87) for highest (>16.38 nmol/mg creatinine) relative to the lowest quartile of urinary total cotinine (≤4.11 nmol/mg creatinine). A risk prediction model yielded an AUC of 0.72 (95% CI, 0.69–0.75) for serum cotinine and 0.72 (95% CI, 0.69–0.75) for urinary total cotinine combined with smoking history. Conclusions: Urinary and serum cotinine have the same performance in prediction of lung cancer risk for current smokers. Impact: Urinary cotinine is a noninvasive biomarker that can replace serum cotinine in risk prediction of future lung cancer risk for current smokers.

Original languageEnglish (US)
Pages (from-to)127-132
Number of pages6
JournalCancer Epidemiology Biomarkers and Prevention
Volume29
DOIs
StatePublished - Jan 1 2020

Bibliographical note

Funding Information:
The authors thank Ms. Xue-Li Wang of the Shanghai Cancer Institute for supervising the field work of the Shanghai Cohort Study. We also thank the Shanghai Cancer Registry for assistance with identification of cancer outcomes in the Shanghai Cohort Study. The Shanghai Cohort Study was supported by the NCI grant no. R01CA1144034 and UM1CA182876, and the Lung Cancer Cohort Consortium (LC3) by NCI grant no. 1U01CA155340. Research reported in this article was supported by the NCI of the NIH under award number T32CA186873.

Publisher Copyright:
© 2020 American Association for Cancer Research.

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