Search

Background Alcohol is a well-established risk factor for head and neck cancer (HNC). This study aims to explore the effect of alcohol intensity and duration, as joint continuous exposures, on HNC risk. Methods Data from 26 case-control studies in the INHANCE Consortium were used, including never and current drinkers who drunk ≤10 drinks/day for ≤54 years (24234 controls, 4085 oral cavity, 3359 oropharyngeal, 983 hypopharyngeal and 3340 laryngeal cancers). The dose-response relationship between the risk and the joint exposure to drinking intensity and duration was investigated through bivariate regression spline models, adjusting for potential confounders, including tobacco smoking. Results For all subsites, cancer risk steeply increased with increasing drinks/day, with no appreciable threshold effect at lower intensities. For each intensity level, the risk of oral cavity, hypopharyngeal and laryngeal cancers did not vary according to years of drinking, suggesting no effect of duration. For oropharyngeal cancer, the risk increased with durations up to 28 years, flattening thereafter. The risk peaked at the higher levels of intensity and duration for all subsites (odds ratio = 7.95 for oral cavity, 12.86 for oropharynx, 24.96 for hypopharynx and 6.60 for larynx). Conclusions Present results further encourage the reduction of alcohol intensity to mitigate HNC risk.

Objectives: \ud 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.\ud \ud Materials and Methods: \ud 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.\ud \ud Results: \ud 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.\ud \ud Conclusion: \ud 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.

Low socioeconomic position (SEP) is a strong risk factor for incidence and premature mortality from several cancers. Our study aimed at quantifying the association between SEP and gastric cancer (GC) risk through an individual participant data meta-analysis within the “Stomach cancer Pooling (StoP) Project”. Educational level and household income were used as proxies for the SEP. We estimated pooled odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) across levels of education and household income by pooling study-specific ORs through random-effects meta-analytic models. The relative index of inequality (RII) was also computed. A total of 9,773 GC cases and 24,373 controls from 25 studies from Europe, Asia and America were included. The pooled OR for the highest compared to the lowest level of education was 0.60 (95% CI, 0.44–0.84), while the pooled RII was 0.45 (95% CI, 0.29–0.69). A strong inverse association was observed both for noncardia (OR 0.39, 95% CI, 0.22–0.70) and cardia GC (OR 0.47, 95% CI, 0.22–0.99). The relation was stronger among H. pylori negative subjects (RII 0.14, 95% CI, 0.04–0.48) as compared to H. pylori positive ones (RII 0.29, 95% CI, 0.10–0.84), in the absence of a significant interaction (p = 0.28). The highest household income category showed a pooled OR of 0.65 (95% CI, 0.48–0.89), while the corresponding RII was 0.40 (95% CI, 0.22–0.72). Our collaborative pooled-analysis showed a strong inverse relationship between SEP indicators and GC risk. Our data call for public health interventions to reduce GC risk among the more vulnerable groups of the population. This project was supported by the “Associazione Italiana per la Ricerca sul Cancro” (AIRC), Projects no. 16715 and 21378 (Investigator Grant), by the “Fondazione Italiana per la Ricerca sul Cancro” (FIRC) and by the Italian Ministry of Health (Young Researchers, GR-2011-02347943 to SB). MR is grateful to the FIRC who supported his work from 2015 to 2017. Our study was also funded by FEDER through the Operational Programme Competitiveness and Internationalization and national funding from the Foundation for Science and Technology – FCT (Portuguese Ministry of Science, Technology and Higher Education) under the Unidade de Investigação em Epidemiologia – Instituto de Saúde Pública da Universidade do Porto (EPIUnit; POCI-01-0145-FEDER-006862; Ref. UID/DTP/04750/2013). AF (PD/BD/105823/2014) was awarded an individual scholarship through national funding from FCT/MCTES.

Objective: To investigate the associations between head and neck cancer\ud (HNC) risk and occupations. Methods: We harmonized data on occupations\ud in a pooled analysis of 8839 HNC cases and 13,730 controls in International\ud Head and Neck Cancer Epidemiology (INHANCE) consortium. Logistic\ud regression was used to estimate odds ratios (ORs) for associations of\ud occupations and HNC risk. Population attributable fraction (PAF)\ud for occupations was calculated using the formula PEC (OR 1)/OR.1\ud Results: Trend of increasing HNC risk was found with increasing duration\ud of employment for many occupations, including cooks (OR ¼ 1.36; 95%\ud confidence interval [CI] 1.09 to 1.68), cleaners (OR ¼ 1.38; 95% CI 1.13 to\ud 1.69), painters (OR ¼ 1.82; 95% CI 1.42 to 2.35). The PAF for a priori\ud occupations was 14.5% (95% CI 7.1% to 21.9%) for HNC. Conclusions: We\ud found associations between certain occupations and HNC risks, including for\ud subsites, with a duration– response relationship.

Tobacco smoking is one of the main risk factors for gastric cancer, but the magnitude of the association estimated by conventional systematic reviews and meta-Analyses might be inaccurate, due to heterogeneous reporting of data and publication bias. We aimed to quantify the combined impact of publication-related biases, and heterogeneity in data analysis or presentation, in the summary estimates obtained from conventional meta-Analyses. We compared results from individual participant data pooled-Analyses, including the studies in the Stomach Cancer Pooling (StoP) Project, with conventional meta-Analyses carried out using only data available in previously published reports from the same studies. Fromthe 23 studies in the StoP Project, 20 had published reports with information on smoking and gastric cancer, but only six had specific data for gastric cardia cancer and seven had data on the daily number of cigarettes smoked. Compared to the results obtained with the StoP database, conventional meta-Analyses overvalued the relation between ever smoking (summary odds ratios ranging from 7% higher for all studies to 22% higher for the risk of gastric cardia cancer) and yielded less precise summary estimates (SE ≤2.4 times higher). Additionally, funnel plot asymmetry and corresponding hypotheses tests were suggestive of publication bias. Conventional meta-Analyses and individual participant data pooled-Analyses reached similar conclusions on the direction of the association between smoking and gastric cancer. However, published data tended to overestimate the magnitude of the effects, possibly due to publication biases and limited the analyses by different levels of exposure or cancer subtypes. European Journal of Cancer Prevention 27:197-204 Copyright © 2018 Wolters Kluwer Health, Inc. All rights reserved.

Background: Individual participant data pooled analyses allow access to non-published data and statistical reanalyses based on more homogeneous criteria than meta-analyses based on systematic reviews. We quantified the impact of publication-related biases and heterogeneity in data analysis and presentation in summary estimates of the association between alcohol drinking and gastric cancer. Methods: We compared estimates obtained from conventional meta-analyses, using only data available in published reports from studies that take part in the Stomach Cancer Pooling (StoP) Project, with individual participant data pooled analyses including the same studies. Results: A total of 22 studies from the StoP Project assessed the relation between alcohol intake and gastric cancer, 19 had specific data for levels of consumption and 18 according to cancer location; published reports addressing these associations were available from 18, 5 and 5 studies, respectively. The summary odds ratios [OR, (95%CI)] estimate obtained with published data for drinkers vs. non-drinkers was 10% higher than the one obtained with individual StoP data [18 vs. 22 studies: 1.21 (1.07-1.36) vs. 1.10 (0.99-1.23)] and more heterogeneous (1(2): 63.6% vs 54.4%). In general, published data yielded less precise summary estimates (standard errors up to 2.6 times higher). Funnel plot analysis suggested publication bias. Conclusion: Meta-analyses of the association between alcohol drinking and gastric cancer tended to overestimate the magnitude of the effects, possibly due to publication bias. Additionally, individual participant data pooled analyses yielded more precise estimates for different levels of exposure or cancer subtypes.

There have been few published studies on differences between Blacks and Whites in the estimated effects of alcohol and tobacco use on the incidence of head and neck cancer (HNC) in the United States. Previous studies have been limited by small numbers of Blacks. Using pooled data from 13 US case–control studies of oral, pharyngeal, and laryngeal cancers in the International Head and Neck Cancer Epidemiology Consortium, this study comprised a large number of Black HNC cases (n = 975). Logistic regression was used to estimate adjusted odds ratios (OR) and 95% confidence intervals (CI) for several tobacco and alcohol consumption characteristics. Blacks were found to have consistently stronger associations than Whites for the majority of tobacco consumption variables. For example, compared to never smokers, Blacks who smoked cigarettes for > 30 years had an OR 4.53 (95% CI 3.22–6.39), which was larger than that observed in Whites (OR 3.01, 95% CI 2.73–3.33; pinteraction < 0.0001). The ORs for alcohol use were also larger among Blacks compared to Whites. Exclusion of oropharyngeal cases attenuated the racial differences in tobacco use associations but not alcohol use associations. These findings suggest modest racial differences exist in the association of HNC risk with tobacco and alcohol consumption. © 2018, Springer International Publishing AG, part of Springer Nature.

The International Head and Neck Cancer Epidemiology (INHANCE) consortium is a collaboration of research groups leading large epidemiology studies to improve the understanding of the causes and mechanisms of head and neck cancer. The consortium includes investigators of 35 studies who have pooled their data on 25 500 patients with head and neck cancer (i.e., cancers of the oral cavity, oropharynx, hypopharynx, and larynx) and 37 100 controls. The INHANCE analyses have confirmed that tobacco use and alcohol intake are key risk factors of these diseases and have provided precise estimates of risk and dose response, the benefit of quitting, and the hazard of smoking even a few cigarettes per day. Other risk factors include short height, lean body mass, low education and income, and a family history of head and neck cancer. Risk factors are generally similar for oral cavity, pharynx, and larynx, although the magnitude of risk may vary. Some major strengths of pooling data across studies include more precise estimates of risk and the ability to control for potentially confounding factors and to examine factors that may interact with each other. The INHANCE consortium provides evidence of the scientific productivity and discoveries that can be obtained from data pooling projects. © 2015 John Wiley & Sons A/S.

Background: Head and neck cancer (HNC) risk is elevated among lean people and reduced among overweight or obese people in some studies; however, it is unknown whether these associations differ for certain subgroups or are influenced by residual confounding from the effects of alcohol and tobacco use or by other sources of biases. Methods: We pooled data from 17 case-control studies including 12 716 cases and the 17 438 controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated for associations between body mass index (BMI) at different ages and HNC risk, adjusted for age, sex, centre, race, education, tobacco smoking and alcohol consumption. Results: Adjusted ORs (95% CIs) were elevated for people with BMI at reference (date of diagnosis for cases and date of selection for controls) =18.5 kg/m2 (2.13, 1.75-2.58) and reduced for BMI >25.0-30.0 kg/m2 (0.52, 0.44-0.60) and BMI =30 kg/m2 (0.43, 0.33-0.57), compared with BMI >18.5-25.0 kg/m2. These associations did not differ by age, sex, tumour site or control source. Although the increased risk among people with BMI =18.5 kg/m2 was not modified by tobacco smoking or alcohol drinking, the inverse association for people with BMI > 25 kg/m2 was present only in smokers and drinkers. Conclusions: In our large pooled analysis, leanness was associated with increased HNC risk regardless of smoking and drinking status, although reverse causality cannot be excluded. The reduced risk among overweight or obese people may indicate body size is a modifier of the risk associated with smoking and drinking. Further clarification may be provided by analyses of prospective cohort and mechanistic studies. © The Author 2010; Published by Oxford University Press on behalf of the International Epidemiological Association. All rights reserved.

Background: The incidence of oropharyngeal and oral tongue cancers has increased over the last 20 years which parallels increased use of marijuana among individuals born after 1950. Methods: A pooled analysis was conducted comprising individual-level data from nine case–control studies from the United States and Latin America in the INHANCE consortium. Self-reported information on marijuana smoking, demographic, and behavioral factors was obtained from 1,921 oropharyngeal cases, 356 oral tongue cases, and 7,639 controls. Results: Compared with never marijuana smokers, ever marijuana smokers had an elevated risk of oropharyngeal [adjusted OR (aOR), 1.24; 95% confidence interval (CI): 1.06–1.47] and a reduced risk of oral tongue cancer (aOR, 0.47; 95% CI, 0.29, 0.75). The risk of oropharyngeal cancer remained elevated among never tobacco and alcohol users. The risk of oral tongue cancer was reduced among never users of tobacco and alcohol. Sensitivity analysis adjusting for potential confounding by HPV exposure attenuated the association of marijuana use with oropharyngeal cancer (aOR, 0.99; 95% CI, 0.71–1.25), but had no effect on the oral tongue cancer association. Conclusions: These results suggest that the association of marijuana use with head and neck carcinoma may differ by tumor site. Impact: The associations of marijuana use with oropharyngeal and oral tongue cancer are consistent with both possible pro- and anticarcinogenic effects of cannabinoids. Additional work is needed to rule out various sources of bias, including residual confounding by HPV infection and misclassification of marijuana exposure. Cancer Epidemiol Biomarkers Prev; 23(1); 160–71. ©2013 AACR.

Previous studies on smokeless tobacco use and head and neck cancer (HNC) have found inconsistent and often imprecise estimates, with limited control for cigarette smoking. Using pooled data from 11 US case-control studies (1981-2006) of oral, pharyngeal, and laryngeal cancers (6,772 cases and 8,375 controls) in the International Head and Neck Cancer Epidemiology (INHANCE) Consortium, we applied hierarchical logistic regression to estimate odds ratios and 95% confidence intervals for ever use, frequency of use, and duration of use of snuff and chewing tobacco separately for never and ever cigarette smokers. Ever use (versus never use) of snuff was strongly associated with HNC among never cigarette smokers (odds ratio (OR) = 1.71, 95% confidence interval (CI): 1.08, 2.70), particularly for oral cavity cancers (OR = 3.01, 95% CI: 1.63, 5.55). Although ever (versus never) tobacco chewing was weakly associated with HNC among never cigarette smokers (OR = 1.20, 95% CI: 0.81, 1.77), analyses restricted to cancers of the oral cavity showed a stronger association (OR = 1.81, 95% CI: 1.04, 3.17). Few or no associations between each type of smokeless tobacco and HNC were observed among ever cigarette smokers, possibly reflecting residual confounding by smoking. Smokeless tobacco use appears to be associated with HNC, especially oral cancers, with snuff being more strongly associated than chewing tobacco. © 2016 The Author.

Funding • The pooled data coordination team (PBoffetta, MH, YCAL) were supported by National Cancer Institute grant R03CA113157 and by National Institute of Dental and Craniofacial Research grant R03DE016611 • The Milan study (CLV) was supported by the Italian Association for Research on Cancer (Grant no. 10068). • The Aviano study (LDM) was supported by a grant from the Italian Association for Research on Cancer (AIRC), Italian League Against Cancer and Italian Ministry of Research • The Italy Multicenter study (DS) was supported by the Italian Association for Research on Cancer (AIRC), Italian League Against Cancer and Italian Ministry of Research. • The Study from Switzerland (FL) was supported by the Swiss League against Cancer and the Swiss Research against Cancer/Oncosuisse [KFS-700, OCS-1633]. • The central Europe study (PBoffetta, PBrenan, EF, JL, DM, PR, OS, NS-D) was supported by the World Cancer Research Fund and the European Commission INCO-COPERNICUS Program [Contract No. IC15- CT98-0332] • The New York multicentre study (JM) was supported by a grant from National Institute of Health [P01CA068384 K07CA104231]. • The study from the Fred Hutchison Cancer Research Center from Seattle (CC, SMS) was supported by a National Institute of Health grant [R01CA048996, R01DE012609]. • The Iowa study (ES) was supported by National Institute of Health [NIDCR R01DE011979, NIDCR R01DE013110, FIRCA TW001500] and Veterans Affairs Merit Review Funds. • The North Carolina studies (AFO) were supported by National Institute of Health [R01CA061188], and in part by a grant from the National Institute of Environmental Health Sciences [P30ES010126]. • The Tampa study (PLazarus, JM) was supported by National Institute of Health grants [P01CA068384, K07CA104231, R01DE013158] • The Los Angeles study (Z-F Z, HM) was supported by grants from National Institute of Health [P50CA090388, R01DA011386, R03CA077954, T32CA009142, U01CA096134, R21ES011667] and the Alper Research Program for Environmental Genomics of the UCLA Jonsson Comprehensive Cancer Center. • The Houston study (EMS, GL) was supported by a grant from National Institute of Health [R01ES011740, R01CA100264]. • The Puerto Rico study (RBH, MPP) was supported by a grant from National Institutes of Health (NCI) US and NIDCR intramural programs. • The Latin America study (PBoffetta, PBrenan, MV, LF, MPC, AM, AWD, SK, VW-F) was supported by Fondo para la Investigacion Cientifica y Tecnologica (FONCYT) Argentina, IMIM (Barcelona), Fundaco de Amparo a‘ Pesquisa no Estado de Sao Paulo (FAPESP) [No 01/01768-2], and European Commission [IC18-CT97-0222] • The IARC multicentre study (SF, RH, XC) was supported by Fondo de Investigaciones Sanitarias (FIS) of the Spanish Government [FIS 97/ 0024, FIS 97/0662, BAE 01/5013], International Union Against Cancer (UICC), and Yamagiwa-Yoshida Memorial International Cancer Study Grant. • The Boston study (KKelsey, MMcC) was supported by a grant from National Institute of Health [R01CA078609, R01CA100679]. • The Rome study (SB, GC) was supported by AIRC (Italian Agency for Research on Cancer). • The US multicentre study (BW) was supported by The Intramural Program of the National Cancer Institute, National Institute of Health, United States. • The Sao Paolo study (V W-F) was supported by Fundacao de Ampara a Pesquisa no Estado de Sao Paulo (FAPESP No 10/51168-0) • The MSKCC study (SS, G-P Y) was supported by a grant from National Institute of Health [R01CA051845]. • The Seattle-Leo stud (FV) was supported by a grant from National Institute of Health [R01CA030022] • The western Europe Study (PBoffetta, IH, WA, PLagiou, DS, LS, FM, CH, KKjaerheim, DC, TMc, PT, AA, AZ) was supported by European Community (5th Frame work Programme) grant no QLK1-CT-2001- 00182. • The Germany Heidelberg study (HR) was supported by the grant No. 01GB9702/3 from the German Ministry of Education and Research.

Background: Analysis of candidate genes in individual studies has had only limited success in identifying particular gene variants that are conclusively associated with lung cancer risk. In the International Lung Cancer Consortium (ILCCO), we conducted a coordinated genotyping study of 10 common variants selected because of their prior evidence of an association with lung cancer. These variants belonged to candidate genes from different cancerrelated pathways including inflammation (IL1B), folate metabolism (MTHFR), regulatory function (AKAP9 and CAMKK1), cell adhesion (SEZL6) and apoptosis (FAS, FASL, TP53, TP53BP1 and BAT3). Methods: Genotype data from 15 ILCCO case-control studies were available for a total of 8431 lung cancer cases and 11 072 controls of European descent and Asian ethnic groups. Unconditional logistic regression was used to model the association between each variant and lung cancer risk. Results: Only the association between a non-synonymous variant of TP53BP1 (rs560191) and lung cancer risk was significant (OR = 0.91, P = 0.002). This association was more striking for squamous cell carcinoma (OR = 0.86, P = 6 × 10-4). No heterogeneity by center, ethnicity, smoking status, age group or sex was observed. In order to confirm this association, we included results for this variant from a set of independent studies (9966 cases/11 722 controls) and we reported similar results. When combining all these studies together, we reported an overall OR = 0.93 (0.89-0.97) (P = 0.001). This association was significant only for squamous cell carcinoma [OR = 0.89 (0.85-0.95), P = 1 × 10-4]. Conclusion: This study suggests that rs560191 is associated to lung cancer risk and further highlights the value of consortia in replicating or refuting published genetic associations. © The Author 2010. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org.

Background: Marijuana contains carcinogens similar to tobacco smoke and has been suggested by relatively small studies to increase the risk of head and neck cancer (HNC). Because tobacco is a major risk factor for HNC, large studies with substantial numbers of never tobacco users could help to clarify whether marijuana smoking is independently associated with HNC risk. Methods: We pooled self-reported interview data on marijuana smoking and known HNC risk factors on 4,029 HNC cases and 5,015 controls from five case-control studies within the INHANCE Consortium. Subanalyses were conducted among never tobacco users (493 cases and 1,813 controls) and among individuals who did not consume alcohol or smoke tobacco (237 cases and 887 controls). Results: The risk of HNC was not elevated by ever marijuana smoking [odds ratio (OR), 0.88; 95% confidence intervals (95% CI), 0.67-1.16], and there was no increasing risk associated with increasing frequency, duration, or cumulative consumption of marijuana smoking. An increased risk of HNC associated with marijuana use was not detected among never tobacco users (OR, 0.93; 95% CI, 0.63-1.37; three studies) nor among individuals who did not drink alcohol and smoke tobacco (OR, 1.06; 95% CI, 0.47-2.38; two studies). Conclusion: Our results are consistent with the notion that infrequent marijuana smoking does not confer a risk of these malignancies. Nonetheless, because the prevalence of frequent marijuana smoking was low in most of the contributing studies, we could not rule out a moderately increased risk, particularly among subgroups without exposure to tobacco and alcohol. (Cancer Epidemiol Biomarkers Prev 2009;18(5):1544–51)

Background: The magnitude of risk conferred by the interaction between tobacco and alcohol use on the risk of head and neck cancers is not clear because studies have used various methods to quantify the excess head and neck cancer burden. Methods: We analyzed individual-level pooled data from 17 European and American case-control studies (11,221 cases and 16,168 controls) participating in the International Head and Neck Cancer Epidemiology consortium. We estimated the multiplicative interaction parameter (ψ) and population attributable risks (PAR). Results: A greater than multiplicative joint effect between ever tobacco and alcohol use was observed for head and neck cancer risk (ψ = 2.15; 95% confidence interval, 1.53-3.04). The PAR for tobacco or alcohol was 72% (95% confidence interval, 61-79%) for head and neck cancer, of which 4% was due to alcohol alone, 33% was due to tobacco alone, and 35% was due to tobacco and alcohol combined. The total PAR differed by subsite (64% for oral cavity cancer, 72% for pharyngeal cancer, 89% for laryngeal cancer), by sex (74% for men, 57% for women), by age (33% for cases 60 years), and by region (84% in Europe, 51% in North America, 83% in Latin America). Conclusions: Our results confirm that the joint effect between tobacco and alcohol use is greater than multiplicative on head and neck cancer risk. However, a substantial proportion of head and neck cancers cannot be attributed to tobacco or alcohol use, particularly for oral cavity cancer and for head and neck cancer among women and among young-onset cases. (Cancer Epidemiol Biomarkers Prev 2009;18(2):541–50)

The authors pooled data from 15 case-control studies of head and neck cancer (9,107 cases, 14,219 controls) to investigate the independent associations with consumption of beer, wine, and liquor. In particular, they calculated associations with different measures of beverage consumption separately for subjects who drank beer only (858 cases, 986 controls), for liquor-only drinkers (499 cases, 527 controls), and for wine-only drinkers (1,021 cases, 2,460 controls), with alcohol never drinkers (1,124 cases, 3,487 controls) used as a common reference group. The authors observed similar associations with ethanol-standardized consumption frequency for beer-only drinkers (odds ratios (ORs) = 1.6, 1.9, 2.2, and 5.4 for =5, 6-15, 16-30, and >30 drinks per week, respectively; Ptrend < 0.0001) and liquor-only drinkers (ORs = 1.6, 1.5, 2.3, and 3.6; P < 0.0001). Among wine-only drinkers, the odds ratios for moderate levels of consumption frequency approached the null, whereas those for higher consumption levels were comparable to those of drinkers of other beverage types (ORs = 1.1, 1.2, 1.9, and 6.3; P < 0.0001). Study findings suggest that the relative risks of head and neck cancer for beer and liquor are comparable. The authors observed weaker associations with moderate wine consumption, although they cannot rule out confounding from diet and other lifestyle factors as an explanation for this finding. Given the presence of heterogeneity in study-specific results, their findings should be interpreted with caution.

Background: The International Lung Cancer Consortium was established in 2004. To clarify the role of DNA repair genes in lung cancer susceptibility, we conducted a pooled analysis of genetic variants in DNA repair pathways, whose associations have been investigated by at least 3 individual studies. Methods: Data from 14 studies were pooled for 18 sequence variants in 12 DNA repair genes, including APEX1, OGG1, XRCC1, XRCC2, XRCC3, ERCC1, XPD, XPF, XPG, XPA, MGMT, and TP53. The total number of subjects included in the analysis for each variant ranged from 2,073 to 13,955 subjects. Results: Four of the variants were found to be weakly associated with lung cancer risk with borderline significance: these were XRCC3 T241M [heterozygote odds ratio (OR), 0.89; 95% confidence interval (95% CI), 0.79-0.99 and homozygote OR, 0.84; 95% CI, 0.71-1.00] based on 3,467 cases and 5,021 controls from 8 studies, XPD K751Q (heterozygote OR, 0.99; 95% CI, 0.89-1.10 and homozygote OR, 1.19; 95% CI, 1.02-1.39) based on 6,463 cases and 6,603 controls from 9 studies, and TP53 R72P (heterozygote OR, 1.14; 95% CI, 1.00-1.29 and homozygote OR, 1.20; 95% CI, 1.02-1.42) based on 3,610 cases and 5,293 controls from 6 studies. OGG1 S326C homozygote was suggested to be associated with lung cancer risk in Caucasians (homozygote OR, 1.34; 95% CI, 1.01-1.79) based on 2,569 cases and 4,178 controls from 4 studies but not in Asians. The other 14 variants did not exhibit main effects on lung cancer risk. Discussion: In addition to data pooling, future priorities of International Lung Cancer Consortium include coordinated genotyping and multistage validation for ongoing genome-wide association studies. (Cancer Epidemiol Biomarkers Prev 2008;17(11):3081–9)

Although active tobacco smoking has been identified as a major risk factor for head and neck cancer, involuntary smoking has not been adequately evaluated because of the relatively low statistical power in previous studies. We took advantage of data pooled in the International Head and Neck Cancer Epidemiology Consortium to evaluate the role of involuntary smoking in head and neck carcinogenesis. Involuntary smoking exposure data were pooled across six case-control studies in Central Europe, Latin America, and the United States. Adjusted odds ratios (OR) and 95% confidence interval (95% CI) were estimated for 542 cases and 2,197 controls who reported never using tobacco, and the heterogeneity among the study-specific ORs was assessed. In addition, stratified analyses were done by subsite. No effect of ever involuntary smoking exposure either at home or at work was observed for head and neck cancer overall. However, long duration of involuntary smoking exposure at home and at work was associated with an increased risk (OR for >15 years at home, 1.60; 95% CI, 1.12-2.28; Ptrend < 0.01; OR for >15 years at work, 1.55; 95% CI, 1.04-2.30; Ptrend = 0.13). The effect of duration of involuntary smoking exposure at home was stronger for pharyngeal and laryngeal cancers than for other subsites. An association between involuntary smoking exposure and the risk of head and neck cancer, particularly pharyngeal and laryngeal cancers, was observed for long duration of exposure. These results are consistent with those for active smoking and suggest that elimination of involuntary smoking exposure might reduce head and neck cancer risk among never smokers. (Cancer Epidemiol Biomarkers Prev 2008;17(8):1974–81)

Most mouthwashes contain alcohol, a known cause of head and neck cancer (oral cavity, pharynx, larynx), likely through the carcinogenic activity of acetaldehyde, formed in the oral cavity from alcohol. We carried out a pooled analysis of 8981 cases of head and neck cancer and 10 090 controls from 12 case-control studies with comparable information on mouthwash use in the International Head and Neck Cancer Epidemiology Consortium. Logistic regression was used to assess the association of mouthwash use with cancers of the oral cavity, oropharynx, hypopharynx, and larynx, adjusting for study, age, sex, pack-years of tobacco smoking, number of alcoholic drinks/day, and education. Compared with never users of mouthwash, the odds ratio (OR) of all head and neck cancers was 1.01 [95% confidence interval (CI): 0.94-1.08] for ever users, based on 12 studies. The corresponding ORs of cancer of the oral cavity and oropharynx were 1.11 (95% CI: 1.00-1.23) and 1.28 (95% CI: 1.06-1.56), respectively. OR for all head and neck cancer was 1.15 (95% CI: 1.01-1.30) for use for more than 35 years, based on seven studies (P for linear trend=0.01), and OR 1.31 (95% CI: 1.09-1.58) for use more than one per day, based on five studies (P for linear trend

Toporcov, Tatiana Natasha Znaor, Ariana Zhang, Zuo-Feng Yu, Guo-Pei Winn, Deborah M Wei, Qingyi Vilensky, Marta Vaughan, Thomas Thomson, Peter Talamini, Renato Szeszenia-Dabrowska, Neonila Sturgis, Erich M Smith, Elaine Shangina, Oxana Schwartz, Stephen M Schantz, Stimson Rudnai, Peter Richiardi, Lorenzo Ramroth, Heribert Purdue, Mark P Olshan, Andrew F Eluf-Neto, Jose Muscat, Joshua Moyses, Raquel Ajub Morgenstern, Hal Menezes, Ana McClean, Michael Matsuo, Keitaro Mates, Dana Macfarlane, Tatiana V Lissowska, Jolanta Levi, Fabio Lazarus, Philip La Vecchia, Carlo Lagiou, Pagona Koifman, Sergio Kjaerheim, Kristina Kelsey, Karl Holcatova, Ivana Herrero, Rolando Healy, Claire Hayes, Richard B Franceschi, Silvia Fernandez, Leticia Fabianova, Eleonora Daudt, Alexander W Curioni, Otavio Alberto Maso, Luigino Dal Curado, Maria Paula Conway, David I Chen, Chu Castellsague, Xavier Canova, Cristina Cadoni, Gabriella Brennan, Paul Boccia, Stefania Antunes, Jose Leopoldo Ferreira Ahrens, Wolfgang Agudo, Antonio Boffetta, Paolo Hashibe, Mia Lee, Yuan-Chin Amy Filho, Victor Wunsch eng FIRCA TW01500/TW/FIC NIH HHS/ K07CA104231/CA/NCI NIH HHS/ P01CA068384/CA/NCI NIH HHS/ P30ES010126/ES/NIEHS NIH HHS/ P50CA90388/CA/NCI NIH HHS/ R01CA048996/CA/NCI NIH HHS/ R01CA100264/CA/NCI NIH HHS/ R01CA30022/CA/NCI NIH HHS/ R01CA51845/CA/NCI NIH HHS/ R01CA61188/CA/NCI NIH HHS/ R01DA11386/DA/NIDA NIH HHS/ R01DE012609/DE/NIDCR NIH HHS/ R01DE11979/DE/NIDCR NIH HHS/ R01DE13110/DE/NIDCR NIH HHS/ R01DE13158/DE/NIDCR NIH HHS/ R01ES11740/ES/NIEHS NIH HHS/ R03CA113157/CA/NCI NIH HHS/ R03CA77954/CA/NCI NIH HHS/ R03DE016611/DE/NIDCR NIH HHS/ R21ES011667/ES/NIEHS NIH HHS/ T32CA09142/CA/NCI NIH HHS/ U01CA96134/CA/NCI NIH HHS/ Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. England 2015/01/24 06:00 Int J Epidemiol. 2015 Feb;44(1):169-85. doi: 10.1093/ije/dyu255. Epub 2015 Jan 22.; International audience; BACKGROUND: Increasing incidence of head and neck cancer (HNC) in young adults has been reported. We aimed to compare the role of major risk factors and family history of cancer in HNC in young adults and older patients. METHODS: We pooled data from 25 case-control studies and conducted separate analyses for adults 45 years old ('older adults', 17700 cases and 22 704 controls). Using logistic regression with studies treated as random effects, we estimated adjusted odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: The young group of cases had a higher proportion of oral tongue cancer (16.0% in women; 11.0% in men) and unspecified oral cavity / oropharynx cancer (16.2%; 11.1%) and a lower proportion of larynx cancer (12.1%; 16.6%) than older adult cases. The proportions of never smokers or never drinkers among female cases were higher than among male cases in both age groups. Positive associations with HNC and duration or pack-years of smoking and drinking were similar across age groups. However, the attributable fractions (AFs) for smoking and drinking were lower in young when compared with older adults (AFs for smoking in young women, older women, young men and older men, respectively, = 19.9% (95% CI=9.8%, 27.9%), 48.9% (46.6%, 50.8%), 46.2% (38.5%, 52.5%), 64.3% (62.2%, 66.4%); AFs for drinking=5.3% (-11.2%, 18.0%), 20.0% (14.5%, 25.0%), 21.5% (5.0%, 34.9%) and 50.4% (46.1%, 54.3%). A family history of early-onset cancer was associated with HNC risk in the young [OR=2.27 (95% CI=1.26, 4.10)], but not in the older adults [OR=1.10 (0.91, 1.31)]. The attributable fraction for family history of early-onset cancer was 23.2% (8.60% to 31.4%) in young compared with 2.20% (-2.41%, 5.80%) in older adults. CONCLUSIONS: Differences in HNC aetiology according to age group may exist. The lower AF of cigarette smoking and alcohol drinking in young adults may be due to the reduced length of exposure due to the lower age. Other characteristics, such as those that are inherited, may play a more important role in HNC in young adults compared with older adults.

Conway, David I Brenner, Darren R McMahon, Alex D Macpherson, Lorna M D Agudo, Antonio Ahrens, Wolfgang Bosetti, Cristina Brenner, Hermann Castellsague, Xavier Chen, Chu Curado, Maria Paula Curioni, Otavio A Dal Maso, Luigino Daudt, Alexander W de Gois Filho, Jose F D'Souza, Gypsyamber Edefonti, Valeria Fabianova, Eleonora Fernandez, Leticia Franceschi, Silvia Gillison, Maura Hayes, Richard B Healy, Claire M Herrero, Rolando Holcatova, Ivana Jayaprakash, Vijayvel Kelsey, Karl Kjaerheim, Kristina Koifman, Sergio La Vecchia, Carlo Lagiou, Pagona Lazarus, Philip Levi, Fabio Lissowska, Jolanta Luce, Daniele Macfarlane, Tatiana V Mates, Dana Matos, Elena McClean, Michael Menezes, Ana M Menvielle, Gwenn Merletti, Franco Morgenstern, Hal Moysich, Kirsten Muller, Heiko Muscat, Joshua Olshan, Andrew F Purdue, Mark P Ramroth, Heribert Richiardi, Lorenzo Rudnai, Peter Schantz, Stimson Schwartz, Stephen M Shangina, Oxana Simonato, Lorenzo Smith, Elaine Stucker, Isabelle Sturgis, Erich M Szeszenia-Dabrowska, Neonila Talamini, Renato Thomson, Peter Vaughan, Thomas L Wei, Qingyi Winn, Deborah M Wunsch-Filho, Victor Yu, Guo-Pei Zhang, Zuo-Feng Zheng, Tongzhang Znaor, Ariana Boffetta, Paolo Chuang, Shu-Chun Ghodrat, Marianoosh Amy Lee, Yuan-Chin Hashibe, Mia Brennan, Paul eng DE016631/DE/NIDCR NIH HHS/ K07CA104231/CA/NCI NIH HHS/ NIDCR R01DE11979/DE/NIDCR NIH HHS/ NIDCRR01DE13110/DE/NIDCR NIH HHS/ NIH FIRCA TW01500/TW/FIC NIH HHS/ P01CA068384/CA/NCI NIH HHS/ P30ES010126/ES/NIEHS NIH HHS/ P50CA090388/CA/NCI NIH HHS/ R01 CA078609/CA/NCI NIH HHS/ R01 CA100679/CA/NCI NIH HHS/ R01CA030022/CA/NCI NIH HHS/ R01CA048996/CA/NCI NIH HHS/ R01CA051845/CA/NCI NIH HHS/ R01CA061188/CA/NCI NIH HHS/ R01CA078609/CA/NCI NIH HHS/ R01CA100264/CA/NCI NIH HHS/ R01CA100679/CA/NCI NIH HHS/ R01CA90731/CA/NCI NIH HHS/ R01DA011386/DA/NIDA NIH HHS/ R01DA026815/DA/NIDA NIH HHS/ R01DE012609/DE/NIDCR NIH HHS/ R01DE013158/DE/NIDCR NIH HHS/ R01ES011740/ES/NIEHS NIH HHS/ R03CA077954/CA/NCI NIH HHS/ R03CA113157/CA/NCI NIH HHS/ R03DE016611/DE/NIDCR NIH HHS/ R21ES011667/ES/NIEHS NIH HHS/ T32CA009142/CA/NCI NIH HHS/ U01CA096134/CA/NCI NIH HHS/ Intramural NIH HHS/ Comparative Study Multicenter Study Research Support, N.I.H., Extramural Research Support, N.I.H., Intramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. 2014/07/06 06:00 Int J Cancer. 2015 Mar 1;136(5):1125-39. doi: 10.1002/ijc.29063. Epub 2014 Aug 23.; International audience; Low socioeconomic status has been reported to be associated with head and neck cancer risk. However, previous studies have been too small to examine the associations by cancer subsite, age, sex, global region and calendar time and to explain the association in terms of behavioral risk factors. Individual participant data of 23,964 cases with head and neck cancer and 31,954 controls from 31 studies in 27 countries pooled with random effects models. Overall, low education was associated with an increased risk of head and neck cancer (OR = 2.50; 95% CI = 2.02 - 3.09). Overall one-third of the increased risk was not explained by differences in the distribution of cigarette smoking and alcohol behaviors; and it remained elevated among never users of tobacco and nondrinkers (OR = 1.61; 95% CI = 1.13 - 2.31). More of the estimated education effect was not explained by cigarette smoking and alcohol behaviors: in women than in men, in older than younger groups, in the oropharynx than in other sites, in South/Central America than in Europe/North America and was strongest in countries with greater income inequality. Similar findings were observed for the estimated effect of low versus high household income. The lowest levels of income and educational attainment were associated with more than 2-fold increased risk of head and neck cancer, which is not entirely explained by differences in the distributions of behavioral risk factors for these cancers and which varies across cancer sites, sexes, countries and country income inequality levels.

BACKGROUND: Type 2 diabetes mellitus has been associated with an excess risk of pancreatic cancer, but the magnitude of the risk and the time-risk relationship are unclear, and there is limited information on the role of antidiabetic medications. PATIENTS AND METHODS: We analyzed individual-level data from 15 case-control studies within the Pancreatic Cancer Case-Control Consortium, including 8305 cases and 13 987 controls. Pooled odds ratios (ORs) were estimated from multiple logistic regression models, adjusted for relevant covariates. RESULTS: Overall, 1155 (15%) cases and 1087 (8%) controls reported a diagnosis of diabetes 2 or more years before cancer diagnosis (or interview, for controls), corresponding to an OR of 1.90 (95% confidence interval, CI, 1.72-2.09). Consistent risk estimates were observed across strata of selected covariates, including body mass index and tobacco smoking. Pancreatic cancer risk decreased with duration of diabetes, but a significant excess risk was still evident 20 or more years after diabetes diagnosis (OR 1.30, 95% CI 1.03-1.63). Among diabetics, long duration of oral antidiabetic use was associated with a decreased pancreatic cancer risk (OR 0.31, 95% CI 0.14-0.69, for =15 years). Conversely, insulin use was associated with a pancreatic cancer risk in the short term (OR 5.60, 95% CI 3.75-8.35, for

Gastric cancer affects about one million people per year worldwide, being the second leading cause of cancer mortality. The study of its etiology remains therefore a global issue as it may allow the identification of major targets, besides eradication of Helicobacter pylori infection, for primary prevention. It has however received little attention, given its comparatively low incidence in most high-income countries. We introduce a consortium of epidemiological investigations named the 'Stomach cancer Pooling (StoP) Project'. Twenty-two studies agreed to participate, for a total of over 9000 cases and 23 000 controls. Twenty studies have already shared the original data set. Of the patients, 40% are from Asia, 43% from Europe, and 17% from North America; 34% are women and 66% men; the median age is 61 years; 56% are from population-based case-control studies, 41% from hospital-based ones, and 3% from nested case-control studies derived from cohort investigations. Biological samples are available from 12 studies. The aim of the StoP Project is to analyze the role of lifestyle and genetic determinants in the etiology of gastric cancer through pooled analyses of individual-level data. The uniquely large data set will allow us to define and quantify the main effects of each risk factor of interest, including a number of infrequent habits, and to adequately address associations in subgroups of the population, as well as interaction within and between environmental and genetic factors. Further, we will carry out separate analyses according to different histotypes and subsites of gastric cancer, to identify potential different risk patterns and etiological characteristics. © 2015 Lippincott Williams & Wilkins, Inc.

Leoncini, Emanuele Ricciardi, Walter Cadoni, Gabriella Arzani, Dario Petrelli, Livia Paludetti, Gaetano Brennan, Paul Luce, Daniele Stucker, Isabelle Matsuo, Keitaro Talamini, Renato La Vecchia, Carlo Olshan, Andrew F Winn, Deborah M Herrero, Rolando Franceschi, Silvia Castellsague, Xavier Muscat, Joshua Morgenstern, Hal Zhang, Zuo-Feng Levi, Fabio Dal Maso, Luigino Kelsey, Karl McClean, Michael Vaughan, Thomas L Lazarus, Philip Purdue, Mark P Hayes, Richard B Chen, Chu Schwartz, Stephen M Shangina, Oxana Koifman, Sergio Ahrens, Wolfgang Matos, Elena Lagiou, Pagona Lissowska, Jolanta Szeszenia-Dabrowska, Neonila Fernandez, Leticia Menezes, Ana Agudo, Antonio Daudt, Alexander W Richiardi, Lorenzo Kjaerheim, Kristina Mates, Dana Betka, Jaroslav Yu, Guo-Pei Schantz, Stimson Simonato, Lorenzo Brenner, Hermann Conway, David I Macfarlane, Tatiana V Thomson, Peter Fabianova, Eleonora Znaor, Ariana Rudnai, Peter Healy, Claire Boffetta, Paolo Chuang, Shu-Chun Lee, Yuan-Chin Amy Hashibe, Mia Boccia, Stefania eng Netherlands 2013/11/26 06:00 Eur J Epidemiol. 2014 Jan;29(1):35-48. doi: 10.1007/s10654-013-9863-2. Epub 2013 Nov 24.; International audience; Several epidemiological studies have shown a positive association between adult height and cancer incidence. The only study conducted among women on mouth and pharynx cancer risk, however, reported an inverse association. This study aims to investigate the association between height and the risk of head and neck cancer (HNC) within a large international consortium of HNC. We analyzed pooled individual-level data from 24 case-control studies participating in the International Head and Neck Cancer Epidemiology Consortium. Odds ratios (ORs) and 95 % confidence intervals (CIs) were estimated separately for men and women for associations between height and HNC risk. Educational level, tobacco smoking, and alcohol consumption were included in all regression models. Stratified analyses by HNC subsites were performed. This project included 17,666 cases and 28,198 controls. We found an inverse association between height and HNC (adjusted OR per 10 cm height = 0.91, 95 % CI 0.86-0.95 for men; adjusted OR = 0.86, 95 % CI 0.79-0.93 for women). In men, the estimated OR did vary by educational level, smoking status, geographic area, and control source. No differences by subsites were detected. Adult height is inversely associated with HNC risk. As height can be considered a marker of childhood illness and low energy intake, the inverse association is consistent with prior studies showing that HNC occur more frequently among deprived individuals. Further studies designed to elucidate the mechanism of such association would be warranted.

Wyss, Annah Hashibe, Mia Chuang, Shu-Chun Lee, Yuan-Chin Amy Zhang, Zuo-Feng Yu, Guo-Pei Winn, Deborah M Wei, Qingyi Talamini, Renato Szeszenia-Dabrowska, Neonila Sturgis, Erich M Smith, Elaine Shangina, Oxana Schwartz, Stephen M Schantz, Stimson Rudnai, Peter Purdue, Mark P Eluf-Neto, Jose Muscat, Joshua Morgenstern, Hal Michaluart, Pedro Jr Menezes, Ana Matos, Elena Mates, Ioan Nicolae Lissowska, Jolanta Levi, Fabio Lazarus, Philip La Vecchia, Carlo Koifman, Sergio Herrero, Rolando Hayes, Richard B Franceschi, Silvia Wunsch-Filho, Victor Fernandez, Leticia Fabianova, Eleonora Daudt, Alexander W Dal Maso, Luigino Curado, Maria Paula Chen, Chu Castellsague, Xavier de Carvalho, Marcos Brasilino Cadoni, Gabriella Boccia, Stefania Brennan, Paul Boffetta, Paolo Olshan, Andrew F eng R03 CA113157/CA/NCI NIH HHS/ R24 HD041025/HD/NICHD NIH HHS/ T32-CA09330/CA/NCI NIH HHS/ T32ES007018/ES/NIEHS NIH HHS/ Meta-Analysis Research Support, N.I.H., Extramural 2013/07/03 06:00 Am J Epidemiol. 2013 Sep 1;178(5):679-90. doi: 10.1093/aje/kwt029. Epub 2013 Jun 30.; International audience; Cigar and pipe smoking are considered risk factors for head and neck cancers, but the magnitude of effect estimates for these products has been imprecisely estimated. By using pooled data from the International Head and Neck Cancer Epidemiology (INHANCE) Consortium (comprising 13,935 cases and 18,691 controls in 19 studies from 1981 to 2007), we applied hierarchical logistic regression to more precisely estimate odds ratios and 95% confidence intervals for cigarette, cigar, and pipe smoking separately, compared with reference groups of those who had never smoked each single product. Odds ratios for cigar and pipe smoking were stratified by ever cigarette smoking. We also considered effect estimates of smoking a single product exclusively versus never having smoked any product (reference group). Among never cigarette smokers, the odds ratio for ever cigar smoking was 2.54 (95% confidence interval (CI): 1.93, 3.34), and the odds ratio for ever pipe smoking was 2.08 (95% CI: 1.55, 2.81). These odds ratios increased with increasing frequency and duration of smoking (Ptrend

Li, Qian Chuang, Shu-Chun Eluf-Neto, Jose Menezes, Ana Matos, Elena Koifman, Sergio Wunsch-Filho, Victor Fernandez, Leticia Daudt, Alexander W Curado, Maria Paula Winn, Deborah M Franceschi, Silvia Herrero, Rolando Castellsague, Xavier Morgenstern, Hal Zhang, Zuo-Feng Lazarus, Philip Muscat, Joshua McClean, Michael Kelsey, Karl T Hayes, Richard B Purdue, Mark P Schwartz, Stephen M Chen, Chu Benhamou, Simone Olshan, Andrew F Yu, Guopei Schantz, Stimson Ferro, Gilles Brennan, Paul Boffetta, Paolo Hashibe, Mia eng K07CA104231/CA/NCI NIH HHS/ P01CA068384/CA/NCI NIH HHS/ P30ES010126/ES/NIEHS NIH HHS/ P50CA90388/CA/NCI NIH HHS/ R01CA048896/CA/NCI NIH HHS/ R01CA078609/CA/NCI NIH HHS/ R01CA100679/CA/NCI NIH HHS/ R01CA51845/CA/NCI NIH HHS/ R01CA61188/CA/NCI NIH HHS/ R01DA11386/DA/NIDA NIH HHS/ R01DE012609/DE/NIDCR NIH HHS/ R01DE13158/DE/NIDCR NIH HHS/ R03 CA113157-01/CA/NCI NIH HHS/ R03 CA113157-02/CA/NCI NIH HHS/ R03 DE016611/DE/NIDCR NIH HHS/ R03 DE016611-01/DE/NIDCR NIH HHS/ R03 DE016611-02/DE/NIDCR NIH HHS/ R03CA113157/CA/NCI NIH HHS/ R03CA77954/CA/NCI NIH HHS/ R21ES011667/ES/NIEHS NIH HHS/ R24 HD050924/HD/NICHD NIH HHS/ T32CA09142/CA/NCI NIH HHS/ U01CA96134/CA/NCI NIH HHS/ Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't 2011/12/17 06:00 Int J Cancer. 2012 Oct 1;131(7):1686-99. doi: 10.1002/ijc.27405. Epub 2012 Jan 27.; International audience; To investigate the potential role of vitamin or mineral supplementation on the risk of head and neck cancer (HNC), we analyzed individual-level pooled data from 12 case-control studies (7,002 HNC cases and 8,383 controls) participating in the International Head and Neck Cancer Epidemiology consortium. There were a total of 2,028 oral cavity cancer, 2,465 pharyngeal cancer, 874 unspecified oral/pharynx cancer, 1,329 laryngeal cancer and 306 overlapping HNC cases. Odds ratios (OR) and 95% confidence intervals (CIs) for self reported ever use of any vitamins, multivitamins, vitamin A, vitamin C, vitamin E, and calcium, beta-carotene, iron, selenium and zinc supplements were assessed. We further examined frequency, duration and cumulative exposure of each vitamin or mineral when possible and stratified by smoking and drinking status. All ORs were adjusted for age, sex, race/ethnicity, study center, education level, pack-years of smoking, frequency of alcohol drinking and fruit/vegetable intake. A decreased risk of HNC was observed with ever use of vitamin C (OR = 0.76, 95% CI = 0.59-0.96) and with ever use of calcium supplement (OR = 0.64, 95% CI = 0.42-0.97). The inverse association with HNC risk was also observed for 10 or more years of vitamin C use (OR = 0.72, 95% CI = 0.54-0.97) and more than 365 tablets of cumulative calcium intake (OR = 0.36, 95% CI = 0.16-0.83), but linear trends were not observed for the frequency or duration of any supplement intake. We did not observe any strong associations between vitamin or mineral supplement intake and the risk of HNC.

Background: A history of diabetes is associated with an increased risk of several types of cancers. Whether diabetes is a risk factor for head and neck cancer (HNC) has received little attention. Methods: We pooled data from 12 case–control studies including 6,448 cases and 13,747 controls, and estimated OR and 95% CI for the associations between diabetes and HNC, adjusted for age, education level, sex, race/ethnicity, study center, cigarette smoking, alcohol use, and body mass index. Results: We observed a weak association between diabetes and the incidence of HNC overall (OR, 1.09; 95% CI: 0.95–1.24). However, we observed a modest association among never smokers (OR, 1.59; 95% CI: 1.22–2.07), and no association among ever smokers (OR, 0.96; 95% CI: 0.83–1.11); likelihood ratio test for interaction P = 0.001. Conclusion: A history of diabetes was weakly associated with HNC overall, but we observed evidence of effect modification by smoking status, with a positive association among those who never smoked cigarettes. Impact: This study suggests that glucose metabolism abnormalities may be a HNC risk factor in subgroups of the population. Prospective studies incorporating biomarkers are needed to improve our understanding of the relationship between diabetes and HNC risk, possibly providing new strategies in the prevention of HNC. Cancer Epidemiol Biomarkers Prev; 21(2); 294–304. ©2011 AACR.

Chuang, Shu-Chun Jenab, Mazda Heck, Julia E Bosetti, Cristina Talamini, Renato Matsuo, Keitaro Castellsague, Xavier Franceschi, Silvia Herrero, Rolando Winn, Deborah M La Vecchia, Carlo Morgenstern, Hal Zhang, Zuo-Feng Levi, Fabio Dal Maso, Luigino Kelsey, Karl McClean, Michael D Vaughan, Thomas Lazarus, Philip Muscat, Joshua Ramroth, Heribert Chen, Chu Schwartz, Stephen M Eluf-Neto, Jose Hayes, Richard B Purdue, Mark Boccia, Stefania Cadoni, Gabriella Zaridze, David Koifman, Sergio Curado, Maria Paula Ahrens, Wolfgang Benhamou, Simone Matos, Elena Lagiou, Pagona Szeszenia-Dabrowska, Neonilla Olshan, Andrew F Fernandez, Leticia Menezes, Ana Agudo, Antonio Daudt, Alexander W Merletti, Franco Macfarlane, Gary J Kjaerheim, Kristina Mates, Dana Holcatova, Ivana Schantz, Stimson Yu, Guo-Pei Simonato, Lorenzo Brenner, Hermann Mueller, Heiko Conway, David I Thomson, Peter Fabianova, Eleonora Znaor, Ariana Rudnai, Peter Healy, Claire M Ferro, Gilles Brennan, Paul Boffetta, Paolo Hashibe, Mia eng K07CA104231/CA/NCI NIH HHS/ P01CA068384/CA/NCI NIH HHS/ P30 CA015704/CA/NCI NIH HHS/ P30ES010126/ES/NIEHS NIH HHS/ P50CA90388/CA/NCI NIH HHS/ R01 CA100679/CA/NCI NIH HHS/ R01 CA100679-09/CA/NCI NIH HHS/ R01 ES014843/ES/NIEHS NIH HHS/ R01CA048996/CA/NCI NIH HHS/ R01CA078609/CA/NCI NIH HHS/ R01CA100679/CA/NCI NIH HHS/ R01CA30022/CA/NCI NIH HHS/ R01CA51845/CA/NCI NIH HHS/ R01CA61188/CA/NCI NIH HHS/ R01DA11386/DA/NIDA NIH HHS/ R01DE012609/DE/NIDCR NIH HHS/ R01DE13158/DE/NIDCR NIH HHS/ R03CA113157/CA/NCI NIH HHS/ R03CA77954/CA/NCI NIH HHS/ R03DE016611/DE/NIDCR NIH HHS/ R21ES011667/ES/NIEHS NIH HHS/ R24 HD050924/HD/NICHD NIH HHS/ T32CA09142/CA/NCI NIH HHS/ U01CA96134/CA/NCI NIH HHS/ Research Support, N.I.H., Extramural Research Support, N.I.H., Intramural Research Support, Non-U.S. Gov't Netherlands 2011/11/01 06:00 Cancer Causes Control. 2012 Jan;23(1):69-88. doi: 10.1007/s10552-011-9857-x. Epub 2011 Oct 29.; International audience; We investigated the association between diet and head and neck cancer (HNC) risk using data from the International Head and Neck Cancer Epidemiology (INHANCE) consortium. The INHANCE pooled data included 22 case-control studies with 14,520 cases and 22,737 controls. Center-specific quartiles among the controls were used for food groups, and frequencies per week were used for single food items. A dietary pattern score combining high fruit and vegetable intake and low red meat intake was created. Odds ratios (OR) and 95% confidence intervals (CI) for the dietary items on the risk of HNC were estimated with a two-stage random-effects logistic regression model. An inverse association was observed for higher-frequency intake of fruit (4th vs. 1st quartile OR = 0.52, 95% CI = 0.43-0.62, p (trend) < 0.01) and vegetables (OR = 0.66, 95% CI = 0.49-0.90, p (trend) = 0.01). Intake of red meat (OR = 1.40, 95% CI = 1.13-1.74, p (trend) = 0.13) and processed meat (OR = 1.37, 95% CI = 1.14-1.65, p (trend) < 0.01) was positively associated with HNC risk. Higher dietary pattern scores, reflecting high fruit/vegetable and low red meat intake, were associated with reduced HNC risk (per score increment OR = 0.90, 95% CI = 0.84-0.97).

Increasing evidence suggests that physical activity could prevent cancer, but scanty data is available on head and neck cancer (HNC). The aim of our study is to clarify the effect of recreational physical activity (rPA) on HNC. We analyzed data from four case-control studies, including 2,289 HNC cases and 5,580 controls. rPA was classified as: none/low (reference group), moderate and high. We calculated summary Odds Ratios (ORs) by pooling study-specific ORs. Overall, moderate rPA was associated with 22% lower risk of HNC compared to those with none or very low rPA levels [OR = 0.78, 95% Confidence Interval (95% CI): 0.66, 0.91]. Moderate rPA is associated with reduced risk of oral (OR = 0.74, 95% CI: 0.56, 0.97) and pharyngeal cancer (OR = 0.67, 95% CI: 0.53, 0.85), as well as high rPA levels (OR = 0.53, 95% CI: 0.32, 0.88 for oral cavity, OR = 0.58, 95% CI: 0.38, 0.89 for pharynx). High rPA levels, however, is associated with higher risk of laryngeal cancer (OR = 1.73, 95% CI: 1.04, 2.88). Stratified analyses showed that such inverse association between moderate rPA and HNC was more evident among males (OR = 0.75, 95% CI: 0.62, 0.90), subjects =45 years (OR = 0.78, 95% CI: 0.66, 0.93), and ever smokers and ever drinkers (OR = 0.72, 95% CI: 0.59, 0.88). High rPA significantly reduces HNC risk among subject =45 years (OR = 0.66, 95% CI: 0.48, 0.91). Promoting rPA might be inversely associated with HNC. © 2011 Springer Science+Business Media B.V.

Background: Greater tobacco smoking and alcohol consumption and lower body mass index (BMI) increase odds ratios (OR) for oral cavity, oropharyngeal, hypopharyngeal, and laryngeal cancers; however, there are no comprehensive sex-specific comparisons of ORs for these factors. Methods: We analyzed 2,441 oral cavity (925 women and 1,516 men), 2,297 oropharynx (564 women and 1,733 men), 508 hypopharynx (96 women and 412 men), and 1,740 larynx (237 women and 1,503 men) cases from the INHANCE consortium of 15 head and neck cancer case-control studies. Controls numbered from 7,604 to 13,829 subjects, depending on analysis. Analyses fitted linear-exponential excess ORs models. Results: ORs were increased in underweight (

Previous molecular epidemiological studies on head and neck cancer have examined various single nucleotide polymorphisms (SNPs), but there are very few documented associations. In the International head and neck cancer epidemiology (INHANCE) consortium, we evaluated associations between SNPs in the metabolism, cell cycle, and DNA repair pathways and the risk of head and neck cancer. We analyzed individual-level pooled data from 14 European, North American, Central American, and Asia case-control studies (5,915 head and neck cancer cases and 10,644 controls) participating in the INHANCE consortium. Unconditional logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for SNP effects, adjusting for age, sex, race, and country. We observed an association between head and neck cancer risk and MGMT Leu84Phe heterozygotes (OR = 0.79, 95% CI = 0.68-0.93), XRCC1 Arg194Trp homozygotes Arg/Arg (OR = 2.3, 95% CI = 1.1-4.7), ADH1B Arg48His homozygotes Arg/Arg (OR = 2.7, 95% CI = 1.9-4.0), ADH1C Ile350Val homozygotes Ile/Ile (OR = 1.2, 95% CI = 1.1-1.4), and the GSTM1 null genotype (OR = 1.1, 95% CI = 1.0-1.2). Among these results, MGMT Leu84Phe, ADH1B Arg48His, ADH1C Ile350Arg, and the GSTM1 null genotype had fairly low false positive report probabilities (

Odds ratios for head and neck cancer increase with greater cigarette and alcohol use and lower body mass index (BMI; weight (kg)/height2 (m2)). Using data from the International Head and Neck Cancer Epidemiology Consortium, the authors conducted a formal analysis of BMI as a modifier of smoking- and alcohol-related effects. Analysis of never and current smokers included 6,333 cases, while analysis of never drinkers and consumers of ≤10 drinks/day included 8,452 cases. There were 8,000 or more controls, depending on the analysis. Odds ratios for all sites increased with lower BMI, greater smoking, and greater drinking. In polytomous regression, odds ratios for BMI (P = 0.65), smoking (P = 0.52), and drinking (P = 0.73) were homogeneous for oral cavity and pharyngeal cancers. Odds ratios for BMI and drinking were greater for oral cavity/pharyngeal cancer (P < 0.01), while smoking odds ratios were greater for laryngeal cancer (P < 0.01). Lower BMI enhanced smoking- and drinking-related odds ratios for oral cavity/pharyngeal cancer (P < 0.01), while BMI did not modify smoking and drinking odds ratios for laryngeal cancer. The increased odds ratios for all sites with low BMI may suggest related carcinogenic mechanisms; however, BMI modification of smoking and drinking odds ratios for cancer of the oral cavity/pharynx but not larynx cancer suggests additional factors specific to oral cavity/pharynx cancer.

Background: Quitting tobacco or alcohol use has been reported to reduce the head and neck cancer risk in previous studies. However, it is unclear how many years must pass following cessation of these habits before the risk is reduced, and whether the risk ultimately declines to the level of never smokers or never drinkers. Methods: We pooled individual-level data from case-control studies in the International Head and Neck Cancer Epidemiology Consortium. Data were available from 13 studies on drinking cessation (9167 cases and 12 593 controls), and from 17 studies on smoking cessation (12 040 cases and 16 884 controls). We estimated the effect of quitting smoking and drinking on the risk of head and neck cancer and its subsites, by calculating odds ratios (ORs) using logistic regression models. Results: Quitting tobacco smoking for 1-4 years resulted in a head and neck cancer risk reduction [OR 0.70, confidence interval (CI) 0.61-0.81 compared with current smoking], with the risk reduction due to smoking cessation after =20 years (OR 0.23, CI 0.18-0.31), reaching the level of never smokers. For alcohol use, a beneficial effect on the risk of head and neck cancer was only observed after =20 years of quitting (OR 0.60, CI 0.40-0.89 compared with current drinking), reaching the level of never drinkers. Conclusions: Our results support that cessation of tobacco smoking and cessation of alcohol drinking protect against the development of head and neck cancer. © The Author 2009; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.

Although cigarette smoking and alcohol consumption increase risk for head and neck cancers, there have been few attempts to model risks quantitatively and to formally evaluate cancer site-specific risks. The authors pooled data from 15 case-control studies and modeled the excess odds ratio (EOR) to assess risk by total exposure (pack-years and drink-years) and its modification by exposure rate (cigarettes/day and drinks/day). The smoking analysis included 1,761 laryngeal, 2,453 pharyngeal, and 1,990 oral cavity cancers, and the alcohol analysis included 2,551 laryngeal, 3,693 pharyngeal, and 3,116 oval cavity cancers, with over 8,000 controls. Above 15 cigarettes/day, the EOR/pack-year decreased with increasing cigarettes/day, suggesting that greater cigarettes/day for a shorter duration was less deleterious than fewer cigarettes/day for a longer duration. Estimates of EOR/pack-year were homogeneous across sites, while the effects of cigarettes/day varied, indicating that the greater laryngeal cancer risk derived from differential cigarettes/day effects and not pack-years. EOR/drink-year estimates increased through 10 drinks/day, suggesting that greater drinks/day for a shorter duration was more deleterious than fewer drinks/day for a longer duration. Above 10 drinks/day, data were limited. EOR/drink-year estimates varied by site, while drinks/day effects were homogeneous, indicating that the greater pharyngeal/oral cavity cancer risk with alcohol consumption derived from the differential effects of drink-years and not drinks/day.

manca

Background: At least 75% of head and neck cancers are attributable to a combination of cigarette smoking and alcohol drinking. A precise understanding of the independent association of each of these factors in the absence of the other with the risk of head and neck cancer is needed to elucidate mechanisms of head and neck carcinogenesis and to assess the efficacy of interventions aimed at controlling either risk factor. Methods: We examined the extent to which head and neck cancer is associated with cigarette smoking among never drinkers and with alcohol drinking among never users of tobacco. We pooled individual-level data from 15 case - control studies that included 10 244 head and neck cancer case subjects and 15 227 control subjects, of whom 1072 case subjects and 5775 control subjects were never users of tobacco and 1598 case subjects and 4051 control subjects were never drinkers of alcohol. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using unconditional logistic regression models. All statistical tests were two-sided. Results: Among never drinkers, cigarette smoking was associated with an increased risk of head and neck cancer (OR for ever versus never smoking = 2.13, 95% CI = 1.52 to 2.98), and there were clear dose - response relationships for the frequency, duration, and number of pack-years of cigarette smoking. Approximately 24% (95% CI = 16% to 31%) of head and neck cancer cases among nondrinkers in this study would have been prevented if these individuals had not smoked cigarettes. Among never users of tobacco, alcohol consumption was associated with an increased risk of head and neck cancer only when alcohol was consumed at high frequency (OR for three or more drinks per day versus never drinking = 2.04, 95% CI = 1.29 to 3.21). The association with high-frequency alcohol intake was limited to cancers of the oropharynx/hypopharynx and larynx. Conclusions: Our results represent the most precise estimates available of the independent association of each of the two main risk factors of head and neck cancer, and they exemplify the strengths of large-scale consortia in cancer epidemiology. © The Author 2007. Published by Oxford University Press.