Abstract
Objectives: This study aimed at re-evaluating the strength and shape of the dose-response relationship between the combined (or joint) effect of intensity and duration of cigarette smoking and the risk of head and neck cancer (HNC). We explored this issue considering bivariate spline models, where smoking intensity and duration were treated as interacting continuous exposures. Materials and Methods: We pooled individual-level data from 33 case-control studies (18,260 HNC cases and 29,844 controls) participating in the International Head and Neck Cancer Epidemiology (INHANCE) consortium. In bivariate regression spline models, exposures to cigarette smoking intensity and duration (compared with never smokers) were modeled as a linear piecewise function within a logistic regression also including potential confounders. We jointly estimated the optimal knot locations and regression parameters within the Bayesian framework. Results: For oral-cavity/pharyngeal (OCP) cancers, an odds ratio (OR) >5 was reached after 30 years in current smokers of ∼20 or more cigarettes/day. Patterns of OCP cancer risk in current smokers differed across strata of alcohol intensity. For laryngeal cancer, ORs >20 were found for current smokers of ≥20 cigarettes/day for ≥30 years. In former smokers who quit ≥10 years ago, the ORs were approximately halved for OCP cancers, and ∼1/3 for laryngeal cancer, as compared to the same levels of intensity and duration in current smokers. Conclusion: Referring to bivariate spline models, this study better quantified the joint effect of intensity and duration of cigarette smoking on HNC risk, further stressing the need of smoking cessation policies.
Original language | English (US) |
---|---|
Pages (from-to) | 47-57 |
Number of pages | 11 |
Journal | Oral Oncology |
Volume | 94 |
DOIs | |
State | Published - Jul 2019 |
All Science Journal Classification (ASJC) codes
- Oral Surgery
- Oncology
- Cancer Research
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Joint effects of intensity and duration of cigarette smoking on the risk of head and neck cancer : A bivariate spline model approach. / Di Credico, Gioia; Edefonti, Valeria; Polesel, Jerry; Pauli, Francesco; Torelli, Nicola; Serraino, Diego; Negri, Eva; Luce, Daniele; Stucker, Isabelle; Matsuo, Keitaro; Brennan, Paul; Vilensky, Marta; Fernandez, Leticia; Curado, Maria Paula; Menezes, Ana; Daudt, Alexander W.; Koifman, Rosalina; Wunsch-Filho, Victor; Holcatova, Ivana; Ahrens, Wolfgang; Lagiou, Pagona; Simonato, Lorenzo; Richiardi, Lorenzo; Healy, Claire; Kjaerheim, Kristina; Conway, David I.; Macfarlane, Tatiana V.; Thomson, Peter; Agudo, Antonio; Znaor, Ariana; Boaventura Rios, Leonardo F.; Toporcov, Tatiana N.; Franceschi, Silvia; Herrero, Rolando; Muscat, Joshua; Olshan, Andrew F.; Zevallos, Jose P.; La Vecchia, Carlo; Winn, Deborah M.; Sturgis, Erich M.; Li, Guojun; Fabianova, Eleonora; Lissowska, Jolanda; Mates, Dana; Rudnai, Peter; Shangina, Oxana; Swiatkowska, Beata; Moysich, Kirsten; Zhang, Zuo Feng; Morgenstern, Hal; Levi, Fabio; Smith, Elaine; Lazarus, Philip; Bosetti, Cristina; Garavello, Werner; Kelsey, Karl; McClean, Michael; Ramroth, Heribert; Chen, Chu; Schwartz, Stephen M.; Vaughan, Thomas L.; Zheng, Tongzhang; Menvielle, Gwenn; Boccia, Stefania; Cadoni, Gabriella; Hayes, Richard B.; Purdue, Mark; Gillison, Maura; Schantz, Stimson; Yu, Guo Pei; Brenner, Hermann; D'Souza, Gypsyamber; Gross, Neil D.; Chuang, Shu Chun; Boffetta, Paolo; Hashibe, Mia; Lee, Yuan Chin Amy; Dal Maso, Luigino.
In: Oral Oncology, Vol. 94, 07.2019, p. 47-57.Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Joint effects of intensity and duration of cigarette smoking on the risk of head and neck cancer
T2 - A bivariate spline model approach
AU - Di Credico, Gioia
AU - Edefonti, Valeria
AU - Polesel, Jerry
AU - Pauli, Francesco
AU - Torelli, Nicola
AU - Serraino, Diego
AU - Negri, Eva
AU - Luce, Daniele
AU - Stucker, Isabelle
AU - Matsuo, Keitaro
AU - Brennan, Paul
AU - Vilensky, Marta
AU - Fernandez, Leticia
AU - Curado, Maria Paula
AU - Menezes, Ana
AU - Daudt, Alexander W.
AU - Koifman, Rosalina
AU - Wunsch-Filho, Victor
AU - Holcatova, Ivana
AU - Ahrens, Wolfgang
AU - Lagiou, Pagona
AU - Simonato, Lorenzo
AU - Richiardi, Lorenzo
AU - Healy, Claire
AU - Kjaerheim, Kristina
AU - Conway, David I.
AU - Macfarlane, Tatiana V.
AU - Thomson, Peter
AU - Agudo, Antonio
AU - Znaor, Ariana
AU - Boaventura Rios, Leonardo F.
AU - Toporcov, Tatiana N.
AU - Franceschi, Silvia
AU - Herrero, Rolando
AU - Muscat, Joshua
AU - Olshan, Andrew F.
AU - Zevallos, Jose P.
AU - La Vecchia, Carlo
AU - Winn, Deborah M.
AU - Sturgis, Erich M.
AU - Li, Guojun
AU - Fabianova, Eleonora
AU - Lissowska, Jolanda
AU - Mates, Dana
AU - Rudnai, Peter
AU - Shangina, Oxana
AU - Swiatkowska, Beata
AU - Moysich, Kirsten
AU - Zhang, Zuo Feng
AU - Morgenstern, Hal
AU - Levi, Fabio
AU - Smith, Elaine
AU - Lazarus, Philip
AU - Bosetti, Cristina
AU - Garavello, Werner
AU - Kelsey, Karl
AU - McClean, Michael
AU - Ramroth, Heribert
AU - Chen, Chu
AU - Schwartz, Stephen M.
AU - Vaughan, Thomas L.
AU - Zheng, Tongzhang
AU - Menvielle, Gwenn
AU - Boccia, Stefania
AU - Cadoni, Gabriella
AU - Hayes, Richard B.
AU - Purdue, Mark
AU - Gillison, Maura
AU - Schantz, Stimson
AU - Yu, Guo Pei
AU - Brenner, Hermann
AU - D'Souza, Gypsyamber
AU - Gross, Neil D.
AU - Chuang, Shu Chun
AU - Boffetta, Paolo
AU - Hashibe, Mia
AU - Lee, Yuan Chin Amy
AU - Dal Maso, Luigino
N1 - Funding Information: This work was supported by grants from the: National Institutes of Health (NIH) [no grant number provided for the INHANCE Pooled Data Project, grant numbers P01CA068384 , K07CA104231 for the New York Multicenter study, grant numbers R01CA048996 , R01DE012609 for the Seattle (1985-1995) study, grant number TW001500 for the Fogarty International Research Collaboration Award (FIRCA) supporting the Iowa study, grant number R01CA061188 for the North Carolina (1994-1997) study, grant numbers P01CA068384 , K07CA104231 , R01DE013158 for the Tampa study, grant numbers P50CA090388 , R01DA011386 , R03CA077954 , T32CA009142 , U01CA096134 , R21ES011667 for the Los Angeles study, grant numbers R01ES011740 , R01CA100264 for the Houston study, grant numbers R01CA078609 , R01CA100679 for the Boston study, grant number R01CA051845 for the MSKCC study, grant number R01CA030022 for the Seattle-Leo study, grant number DE016631 for the Baltimore study]; National Cancer Institute (NCI) at the National Institutes of Health (NIH) [grant number R03CA113157 for the INHANCE Pooled Data Project, no grant number provided for the Intramural Programs supporting the Puerto Rico and the US Multicenter studies, grant number R01CA90731-01 for the North Carolina (2002-2006) study]; National Institute of Dental and Craniofacial Research (NIDCR) at the National Institutes of Health (NIH) [grant number R03DE016611 for the INHANCE Pooled Data Project, grant numbers R01DE011979 , R01DE013110 for the Iowa study, no grant number provided for the Intramural Program supporting the Puerto Rico study]; Italian Association for Research on Cancer (AIRC) [no grant number provided for the Milan (1984-1989) study, for the Aviano study, for the Italy Multicenter study and for the Rome study, grant number 10068 for the Milan study (2006-2009)]; Italian League against Cancer [no grant number provided for the Aviano and Italy Multicenter studies]; Italian Ministry of Research [no grant number provided for the Aviano and Italy Multicenter studies]; the Swiss Research against cancer/Oncosuisse [grant numbers KFS-700 , OCS-1633 for the Swiss study]; World Cancer Research Fund [no grant number provided for the Central Europe study]; European Commission [grant number IC18-CT97-0222 (INCO-DC Program) for the Latin America study, grant number IC15-CT98-0332 (INCO-COPERNICUS Program) for the Central Europe study]; Veterans Affairs Merit Review Funds [no grant number provided for the Iowa study]; National Institute of Environmental Health Sciences (NIEHS) [grant number P30ES010126 for the North Carolina (1994-1997) study, grant number P30ES010126 for the North Carolina (2002-2006) study]; Alper Research Program for Environmental Genomics of the UCLA Jonsson Comprehensive Cancer Center [no grant number provided for the Los Angeles study]; Fondo para la Investigacion Cientifica y Tecnologica Argentina (FONCYT) [no grant number provided for the Latin America study]; Institut Hospital del Mar d’Investigacions Mediquès (IMIM) [no grant number provided for the Latin America study]; Fundação de Amparo à Pesquisa no Estado de São Paulo (FAPESP) [grant number 01/01768-2 for the Latin America study, grant numbers GENCAPO 04/12054-9, 10/51168-0 for the Sao Paulo study]; Fondo de Investigaciones Sanitarias (FIS) of the Spanish Government [grant number FIS 97/0024, FIS 97/0662, BAE 01/5013 for the International Multicenter study]; International Union Against Cancer (UICC) [no grant number provided for the International Multicenter study]; Yamagiwa-Yoshida Memorial International Cancer Study Grant [no grant number provided for the International Multicenter study]; European Community (5th Framework Programme) [grant number QLK1-CT-2001-00182 for the Western Europe study]; Ministry of Science, Research and Arts Baden-Wurttemberg [no grant number provided for the Germany-Saarland study]; German Ministry of Education and Research [grant number 01 GB9702/3 for the Germany-Heidelberg study]; Scientific Research grant from the Ministry of Education, Science, Sports, Culture and Technology of Japan [grant number 17015052 for the Japan (2001-2005) study]; Third-Term Comprehensive 10-Year Strategy for Cancer Control from the Ministry of Health, Labor and Welfare of Japan [grant number H20-002 for the Japan (2001-2005) study]; Johns Hopkins Richard Gelb Cancer Prevention Award [no grant number provided for the HOTSPOT study]; Italian Foundation for Cancer Research (FIRC) [no grant number provided for the Milan study (2006-2009)]; Italian Ministry of Education - PRIN 2009 Program [grant number X8YCBN for the Milan study (2006-2009)]; VE was supported by Università degli Studi di Milano ‘Young Investigator Grant Program 2017’. Publisher Copyright: © 2019 Elsevier Ltd Copyright: Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/7
Y1 - 2019/7
N2 - Objectives: This study aimed at re-evaluating the strength and shape of the dose-response relationship between the combined (or joint) effect of intensity and duration of cigarette smoking and the risk of head and neck cancer (HNC). We explored this issue considering bivariate spline models, where smoking intensity and duration were treated as interacting continuous exposures. Materials and Methods: We pooled individual-level data from 33 case-control studies (18,260 HNC cases and 29,844 controls) participating in the International Head and Neck Cancer Epidemiology (INHANCE) consortium. In bivariate regression spline models, exposures to cigarette smoking intensity and duration (compared with never smokers) were modeled as a linear piecewise function within a logistic regression also including potential confounders. We jointly estimated the optimal knot locations and regression parameters within the Bayesian framework. Results: For oral-cavity/pharyngeal (OCP) cancers, an odds ratio (OR) >5 was reached after 30 years in current smokers of ∼20 or more cigarettes/day. Patterns of OCP cancer risk in current smokers differed across strata of alcohol intensity. For laryngeal cancer, ORs >20 were found for current smokers of ≥20 cigarettes/day for ≥30 years. In former smokers who quit ≥10 years ago, the ORs were approximately halved for OCP cancers, and ∼1/3 for laryngeal cancer, as compared to the same levels of intensity and duration in current smokers. Conclusion: Referring to bivariate spline models, this study better quantified the joint effect of intensity and duration of cigarette smoking on HNC risk, further stressing the need of smoking cessation policies.
AB - Objectives: This study aimed at re-evaluating the strength and shape of the dose-response relationship between the combined (or joint) effect of intensity and duration of cigarette smoking and the risk of head and neck cancer (HNC). We explored this issue considering bivariate spline models, where smoking intensity and duration were treated as interacting continuous exposures. Materials and Methods: We pooled individual-level data from 33 case-control studies (18,260 HNC cases and 29,844 controls) participating in the International Head and Neck Cancer Epidemiology (INHANCE) consortium. In bivariate regression spline models, exposures to cigarette smoking intensity and duration (compared with never smokers) were modeled as a linear piecewise function within a logistic regression also including potential confounders. We jointly estimated the optimal knot locations and regression parameters within the Bayesian framework. Results: For oral-cavity/pharyngeal (OCP) cancers, an odds ratio (OR) >5 was reached after 30 years in current smokers of ∼20 or more cigarettes/day. Patterns of OCP cancer risk in current smokers differed across strata of alcohol intensity. For laryngeal cancer, ORs >20 were found for current smokers of ≥20 cigarettes/day for ≥30 years. In former smokers who quit ≥10 years ago, the ORs were approximately halved for OCP cancers, and ∼1/3 for laryngeal cancer, as compared to the same levels of intensity and duration in current smokers. Conclusion: Referring to bivariate spline models, this study better quantified the joint effect of intensity and duration of cigarette smoking on HNC risk, further stressing the need of smoking cessation policies.
UR - http://www.scopus.com/inward/record.url?scp=85065698410&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85065698410&partnerID=8YFLogxK
U2 - 10.1016/j.oraloncology.2019.05.006
DO - 10.1016/j.oraloncology.2019.05.006
M3 - Article
C2 - 31178212
AN - SCOPUS:85065698410
VL - 94
SP - 47
EP - 57
JO - Oral Oncology
JF - Oral Oncology
SN - 1368-8375
ER -