Cancer Causes & Control

, Volume 25, Issue 1, pp 11–23

Tobacco smoking, NBS1 polymorphisms, and survival in lung and upper aerodigestive tract cancers with semi-Bayes adjustment for hazard ratio variation

Authors

  • Tingting Yang
    • Zhejiang Provincial CDC
    • Department of Epidemiology, Fielding School of Public HealthUniversity of California, Los Angeles (UCLA)
  • Po-Yin Chang
    • Department of Epidemiology, Fielding School of Public HealthUniversity of California, Los Angeles (UCLA)
  • Sungshim Lani Park
    • Epidemiology ProgramUniversity of Hawaii Cancer Center
  • Delara Bastani
    • Department of Epidemiology, Fielding School of Public HealthUniversity of California, Los Angeles (UCLA)
  • Shen-Chih Chang
    • Department of Epidemiology, Fielding School of Public HealthUniversity of California, Los Angeles (UCLA)
  • Hal Morgenstern
    • Departments of Epidemiology, Environmental Health Sciences, and Urology, Schools of Public Health and Medicine, and Comprehensive Cancer CenterUniversity of Michigan
  • Donald P. Tashkin
    • Division of Pulmonary and Critical Care MedicineUCLA David Geffen School of Medicine
  • Jenny T. Mao
    • Pulmonary and Critical Care SectionNew Mexico VA Healthcare System
  • Jeanette C. Papp
    • Department of Human GeneticsUCLA
  • Jian-Yu Rao
    • Department of PathologyUCLA David Geffen School of Medicine
  • Wendy Cozen
    • Departments of Preventive Medicine and PathologyKeck School of Medicine at University of Southern California
  • Thomas M. Mack
    • Departments of Preventive Medicine and PathologyKeck School of Medicine at University of Southern California
  • Sander Greenland
    • Department of Epidemiology, Fielding School of Public HealthUniversity of California, Los Angeles (UCLA)
    • Department of StatisticsUCLA
    • Department of Epidemiology, Fielding School of Public HealthUniversity of California, Los Angeles (UCLA)
    • Jonsson Comprehensive Cancer CenterUCLA
Original paper

DOI: 10.1007/s10552-013-0303-0

Cite this article as:
Yang, T., Chang, P., Park, S.L. et al. Cancer Causes Control (2014) 25: 11. doi:10.1007/s10552-013-0303-0

Abstract

Purpose

Although single nucleotide polymorphisms (SNPs) of NBS1 have been associated with susceptibility to lung and upper aerodigestive tract (UADT) cancers, their relations to cancer survival and measures of effect are largely unknown.

Methods

Using follow-up data from 611 lung cancer cases and 601 UADT cancer cases from a population-based case–control study in Los Angeles, we prospectively evaluated associations of tobacco smoking and 5 NBS1 SNPs with all-cause mortality. Mortality data were obtained from the Social Security Death Index. We used Cox regression to estimate adjusted hazard ratios (HR) for main effects and ratios of hazard ratios (RHR) derived from product terms to assess hazard ratio variations by each SNP. Bayesian methods were used to account for multiple comparisons.

Results

We observed 406 (66 %) deaths in lung cancer cases and 247 (41 %) deaths in UADT cancer cases with median survival of 1.43 and 1.72 years, respectively. Ever tobacco smoking was positively associated with mortality for both cancers. We observed an upward dose–response association between smoking pack-years and mortality in UADT squamous cell carcinoma. The adjusted HR relating smoking to mortality in non-small cell lung cancer (NSCLC) was greater for cases with the GG genotype of NBS1 rs1061302 than for cases with AA/AG genotypes (semi-Bayes adjusted RHR = 1.97; 95 % limits = 1.14, 3.41).

Conclusions

A history of tobacco smoking at cancer diagnosis was associated with mortality among patients with lung cancer or UADT squamous cell carcinoma. The HR relating smoking to mortality appeared to vary with the NBS1 rs1061302 genotype among NSCLC cases.

Keywords

SurvivalNBS1Lung cancerUpper aerodigestive tract (UADT) cancersTobaccoBayesian methods

Supplementary material

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Supplementary material 1 (DOCX 38 kb)
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Supplementary material 2 (DOCX 27 kb)
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Supplementary material 3 (DOCX 21 kb)
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Supplementary material 4 (DOCX 30 kb)

Copyright information

© Springer Science+Business Media Dordrecht 2013