Association between Smoking and Molecular Subtypes of Colorectal Cancer

Author:

Wang Xiaoliang12,Amitay Efrat3,Harrison Tabitha A1,Banbury Barbara L1,Berndt Sonja I4,Brenner Hermann356,Buchanan Daniel D78910,Campbell Peter T11,Cao Yin121314,Chan Andrew T151617,Chang-Claude Jenny1819,Gallinger Steven J20,Giannakis Marios21,Giles Graham G2223,Gunter Marc J24,Hopper John L7,Jenkins Mark A7,Lin Yi1,Moreno Victor25,Nishihara Reiko21,Newcomb Polly A12,Ogino Shuji2627,Phipps Amanda I12,Sakoda Lori C128,Schoen Robert E29,Slattery Martha L30,Song Mingyang151731,Sun Wei1,Thibodeau Steven N32,Toland Amanda E33,Van Guelpen Bethany34,Woods Michael O35,Hsu Li1,Hoffmeister Michael3,Peters Ulrike12

Affiliation:

1. Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA

2. Department of Epidemiology, University of Washington, Seattle, WA

3. Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany

4. Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA

5. Department of Preventive Oncology, German Cancer Research Center (DKFZ), and National Center for Tumor Diseases (NCT), Heidelberg, Germany

6. German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany

7. Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia

8. Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia

9. University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia

10. Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Melbourne, Victoria, Australia

11. Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA

12. Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, Missouri, USA

13. Alvin J. Siteman Cancer Center at Barnes-Jewish Hospital, and Washington University School of Medicine, St. Louis, Missouri, USA

14. Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA

15. Division of Gastroenterology, Massachusetts General Hospital, and Harvard Medical School, Boston, Massachusetts, USA

16. Channing Division of Network Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts, USA

17. Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, and Harvard Medical School, Boston, Massachusetts, USA

18. Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany

19. Genetic Tumour Epidemiology Group, University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

20. Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada

21. Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA

22. Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, Australia

23. Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia

24. Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France

25. Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain

26. Department of Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA

27. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA

28. Division of Research, Kaiser Permanente Northern California, Oakland, California, USA

29. Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA

30. Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, UT, USA

31. Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA

32. Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA

33. Departments of Cancer Biology and Genetics and Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA

34. Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden

35. Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Newfoundland & Labrador, Canada

Abstract

Abstract Background Smoking is associated with colorectal cancer (CRC) risk. Previous studies suggested this association may be restricted to certain molecular subtypes of CRC while large-scale comprehensive analysis is lacking. Methods A total of 9,789 CRC cases and 11,231 controls of European ancestry from 11 observational studies were included. We harmonized smoking variables across studies and derived sex-study-specific quartiles of pack-years of smoking for analysis. Four somatic colorectal tumor markers were assessed individually and in combination, including BRAF mutation, KRAS mutation, CpG island methylator phenotype (CIMP), and microsatellite instability (MSI) status. A multinomial logistic regression analysis was used to assess the association between smoking and risk of CRC subtypes by molecular characteristics, adjusting for age, sex, and study. All statistical tests were 2-sided and adjusted for Bonferroni correction. Results Heavier smoking was associated with higher risk of CRC overall and stratified by individual markers (P trend <0.001). The associations differed statistically significantly between all molecular subtypes, which was the most statistically significant for CIMP and BRAF. Compared to never smokers, smokers in the 4th quartile of pack-years had an 90% higher risk of CIMP-positive CRC (OR = 1.90; 95% CI: 1.60–2.26), but only 35% higher risk for CIMP-negative CRC (OR = 1.35; 95% CI: 1.22–1.49; P difference=2.1x10-6). The association was also stronger in tumors that were CIMP-positive, MSI-high or KRAS-wildtype when combined (P difference <0.001). Conclusion Smoking was associated with differential risk of CRC subtypes defined by molecular characteristics. Heavier smokers had particularly higher risk of CRC subtypes that were CIMP-positive and MSI-high in combination, suggesting that smoking may be involved in the development of colorectal tumors via the serrated pathway.

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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