Cancer 1
Monday 6 October 2025, 14.00 – 15.30 Polar
Chairs: Nathan DeBono, Wendy Bijoux
Application of bias analysis: the case of socioeconomic status and lung cancer in a pooled international case-control study
Jan Hovanec (presenter)
Benjamin Kendzia, Ann Olsson, Jack Siemiatycki, Karl-Heinz Jöckel, Kurt Straif, Joachim Schüz, Hans Kromhout, Thomas Brüning, Thomas Behrens, and the SYNERGY study group
Abstract
Objective: Socioeconomic status (SES) is an important confounder of the association between occupational exposures and lung cancer. However, the extent of SES effects on lung cancer, including mediating effects via smoking habits, remained unclear as several biases were often indicated. Therefore, we aimed to quantify the impact of potential biases on the SES-lung cancer association.
Material and Methods: We used data from the SYNERGY project (https://synergy.iarc.who.int), including 16,550 cases and 20,147 controls from European and Canadian case-control studies, to investigate bias effects in the association of occupational SES (in quartiles) and lung cancer. We estimated odds ratios (OR) with 95% confidence intervals (CI) by logistic regression adjusting for age, study centre, and smoking, stratified by sex. We also estimated natural direct SES effects and natural indirect effects via smoking by inverse odds ratio weighting. In a quantitative bias analysis, we considered impacts of misclassification of smoking status, selection bias, and unmeasured mediator-outcome confounding by genetic disposition, calculating 95% simulation intervals (SI) by bootstrap (n=2500 repetitions).
Results: Adjustment for smoking as well as natural effects estimation showed that nearly 50% of lung cancer risks for lower SES groups in men and up to one third in women were attributable to smoking. Consideration of all types of bias reduced lung-cancer risks in the fully adjusted logistic regression models: For the 4th versus 1st (highest) SES quartile OR decreased from 1.83 (1.69-1.98 CI) to 1.50 (1.32-1.69 SI) in men, and OR 1.48 (1.27-1.72 CI) to 1.20 (1.01-1.45 SI) in women.
Conclusion: Direct lung-cancer risks of lower SES groups were lowered by multiple bias adjustment but remained elevated. As long as it remains unclear to what extent these effects are attributable to occupational hazards, SES should be considered in the analysis of occupational exposures and lung cancer.
Benzene exposure and risk of colorectal cancer in the Norwegian Offshore Petroleum Workers Cohort
Ronnie Babigumira (presenter)
Marit B Veierød, Inger K Larsen, Leon A M Berge, Nita K Shala, Niki Marjerrison, Sven O Samuelsen, Magne Bråtveit, Jorunn Kirkeleit, Karl-Christian Nordby, H Dean Hosgood, Paul A Demers , Roel Vermeulen, Hans Kromhout,Lawrence S Engel, Tom I L Nilsen, Debra T Silverman, Melissa C Friesenn, Nathaniel Rothman, Qing Lan, Tom K Grimsrud, Jo S Stenehjem
Abstract
Objective: To investigate the association between low levels of benzene exposure (average intensity<0.05 parts per million [ppm]) and risk of colorectal cancer (CRC) including its anatomical subsites.
Material and methods: Among the 25,347 men in the NOPW cohort with offshore work history between 1965 and 1998, we prospectively identified 469 CRC cases 1999–2021 and compared them with 2031 non-cases drawn from the cohort in case-cohort analyses. Work histories were linked to job-exposure matrices for benzene and other occupational exposures. Weighted Cox regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for overall CRC and anatomical subtypes (right- and left-sided colon cancer [RCC and LCC] and rectal), adjusted for age, body mass index, smoking, alcohol intake, red/processed meat intake, and physical activity.
Results: Risks of CRC increased with increasing benzene exposure. For all CRC, the HRs (95% CI) for the most exposed [quartile 4] vs the unexposed were 1.32 (0.96 to 1.81, [0.177–0.879 ppm-years]; p-trend=0.085) for cumulative, 1.52 (1.11 to 2.07, [17–34 years]; p-trend=0.032) for the duration, and 1.56 (1.15 to 2.12, [0.015–0.046 ppm]; p-trend=0.005) for average intensity of benzene exposure. For right-sided colon cancer, the association was most evident for exposure duration (HR=2.25, 1.33 to 3.80, quartile 4 [17–34 years] vs. unexposed; p-trend=0.007). Sensitivity analyses showed consistent associations.
Conclusion: Our results suggest that risks of CRC, and particularly RCC, increased with increasing duration of rollover shift work and benzene exposure in male offshore workers.
Causal inference in benzene exposure and lymphohematopoietic cancers: a study protocol
Sara Nafisi (presenter)
Leon AM Berge, Niki Marjerrison, Nita K Shala, Ronnie Babigumira, Tom K Grimsrud, Marit B Veierød, Jo S Stenehjem
Abstract
Objectives: Benzene has been recognised as a cause of acute myeloid leukaemia by the International Agency for Research on Cancer (IARC) since 1979. In their 2017 evaluation of benzene, IARC concluded that positive associations were observed also for other histological subtypes of lymphohematopoietic (LH) cancers: chronic myeloid leukaemia, non-Hodgkin lymphoma, chronic lymphoid leukaemia, and multiple myeloma. There is a need to further clarify benzene’s association with these LH cancer subtypes, using causal inference methodology to assess the role of exposure time-windows. We aim to investigate the time-dependent effect of benzene exposure on LH cancer subtypes in offshore petroleum workers using a target trial emulation framework.
Materials and methods: We will use the Norwegian Offshore Petroleum Workers cohort and the Heliport cohort, encompassing 100,000 workers employed offshore 1965–2023. Inclusion criteria will be specified according to the causal roadmap framework. Between 1999–2023, 823 LH cancer cases were identified by linkage to the Cancer Registry of Norway. Start of follow-up (time zero) will be 1999 or at the start of employment and continue until cancer diagnosis, death, or end of follow-up. Benzene exposure will be assessed using an expert-developed job-exposure matrix. Data on potential confounding factors (e.g. smoking and non-offshore benzene exposure) will be retrieved from questionnaire and register data by linking the cohort to national registries.
Results: Results will be presented as cumulative incidence (absolute and relative risks) calculated by multi-state models accounting for death as a competing event and adjusted for confounders using inverse probability treatment weights producing propensity scores.
Conclusion: These cohorts, with time-dependent benzene exposure, enable application of a target trial emulation framework, which may provide new insights and contribute to important clarifications regarding benzene exposure and risk of the major histological subtypes of LH cancers, and hence follow up on the latest IARC evaluation of benzene.
Lung cancer risk among 2.2 million Ontario workers: joint effects of co-exposure to five occupational carcinogens by sex
Tracy Kirkham (presenter)
Fatima, Ali; Jeavana, Sritharan; Tanya, Navaneelan; Shannon, Halls; Nathan, DeBono; Paul, A, Demers
Abstract
Objectives: Several occupational exposures cause lung cancer, but few studies have examined co-exposure effects. We aim to investigate the joint effects of exposure to five carcinogens— asbestos, chromium VI, nickel, polycyclic aromatic hydrocarbons (PAHs) and benzo-a-pyrene (BaP) as a surrogate of PAH exposure, and silica— on lung cancer risk.
Methods: Lung cancer cases were identified from the Ontario Cancer Registry between 1983 to 2019 from a large cohort of Ontario workers. Exposure status (exposed/non-exposed) was assigned to workers based on their occupation using the Canadian job-exposure matrix for each carcinogen. Cox proportional hazards models estimated associations of carcinogen exposure on lung cancer risk overall, by sex, and by subtype, controlling for age, sex, and birth-year. Joint effects were analyzed using pairwise interaction models assessed on multiplicative and additive scales using the relative excess risk due to interaction (RERI).
Results: Overall, 36,125 lung cancer cases were identified among 2,223,408 workers. In preliminary analysis, joint effects of co-exposure to asbestos/silica (RERI= 0.27, 95% CI: 0.15, 0.39), BaP/silica (RERI=0.28, 95% CI: 0.17, 0.39), PAHS/silica (RERI=0.14, 95% CI: 0.05, 0.23), and chromium/BaP (RERI= 0.20, 95% CI: 0.01, 0.42) were more than additive. Conversely, joint effects of asbestos/PAHs (RERI: -0.44, 95% CI: -0.68, -0.24), BaP/nickel (RERI= -0.11, 95% CI: -0.21, -0.01), and chromium/PAHs (RERI=-0.38, 95% CI: -0.60, -0.18) were less than additive. The remaining pairwise joint effects did not significantly depart from additivity. The pattern of results was similar among male workers, but no pairwise joint effects significantly departed from additivity for females. Differences by lung cancer sub-type and additional analyses to follow.
Conclusion: Significant interaction effects were observed. Ongoing joint effects analysis may help identify high-risk occupations/industries by discovering the most impactful exposure combinations.
Mortality study in a cohort of workers producing fluoropolymers in Italy, 1960-2023
Daan Aarts (presenter)
Dario Consonni, Slvia Fustinoni
Abstract
Objective: Tetrafluoroethylene (TFE) and perfluorooctanoic acid (PFOA) are used for the synthesis of fluoropolymers. The International Agency for Research on Cancer classified TFE as probably carcinogenic and PFOA as carcinogenic to humans (based on limited evidence for kidney and testis cancer). Within a multicentre cohort study, mortality (1960-2008) had been evaluated of workers employed (1960-1999) in a plant producing fluoropolymers in Piedmont, North West Italy. We updated the follow-up through 2023.
Material and Methods: Workers’ job histories were merged with a semi-quantitative job-exposure matrix (JEM) to calculate cumulative exposure to TFE (still used) and PFOA (phased-out in 2013). Person-years were calculated for the period 1960-2023. Expected deaths were calculated using national and regional reference rates. We calculated standardised mortality ratios (SMR) and 95% confidence intervals (CI).
Results: Among 505 male workers elevated SMRs (reference: regional rates) were found for cancer of lung (SMR 1.50, CI: 1.00-2.26, 23 deaths) and testis (SMR 7.03, CI: 0.99-49.9, 1 death), and for non-Hodgkin’s lymphoma (NHL, SMR 2.84, CI 1.28-6.33, 6 deaths). Lung cancer morality was not associated with length of employment or with exposure to TFE or PFOA. The testis cancer death occurred among workers exposed to TFE and unexposed to PFOA. NHL was positively associated with length of employment, time since first employment, and cumulative exposure to TFE (all 6 deaths exposed), while 3 deaths occurred among workers unexposed to PFOA. The NHL excess occurred among older workers (65+ years) first employed before 1980 and last employed before 2000. Pleural cancer was also in excess (SMR 3.33 using national rates, CI: 1.07-10.3, 3 deaths).
Conclusion: This study found elevated mortality from NHL. The available information suggests an association with TFE rather than PFOA exposure, although exposure misclassification cannot be ruled out.
Occupational exposure to benzene and reduction in telomere length: results from a multi-center study
Michele Carugno (presenter)
Luca Boniardi, Valeria Mardonez, Laura Renzi, Cecilia Magnani, Marco Rapuano, Marco Zanatta, Camila Perfetti, Angela Marinoni, Angela Pesatori, Silvia Fustinoni and Laura Campo
Abstract
Introduction: Due to prolonged and direct contact with vehicle traffic, exposure to diesel engine exhaust emissions poses an occupational risk for workers in the logistics sector. Bicycle couriers, a growing and increasingly recognized workforce in urban environments, are particularly at risk due to the high ventilation rate and physical effort required by their job.
Objective: To assess the exposure of bicycle couriers to diesel exhaust emissions during last-mile delivery operations in the city of Milan.
Methods: Four AE51 micro-aethalometers (Aethlabs) with high temporal resolution (1 s) were used to measure equivalent black carbon (eBC), a tracer of diesel engine emissions. Devices were mounted on four cargo bikes, with sampling tubes fixed to the handlebars. Exposure was monitored over all four seasons, from autumn 2023 to summer 2024, during weekday working hours (9:00–18:00). Instruments were compared regularly during the campaign with a stationary AE33 aethalometer (Magee Scientific) located in traffic-free background sites.
Results and Conclusions: This abstract presents preliminary results for the winter season only, considered a worst-case scenario due to typically higher pollution levels. Average BC exposure during work shifts was 4.1 µg/m³, double the background level (2.1 µg/m³) and comparable to the traffic-site reference (4.0 µg/m³). The highest daily average was 6.1 µg/m³. Morning shifts (5.0 µg/m³, max 9.8 µg/m³) showed higher exposure than afternoon shifts (3.2 µg/m³, max 8.2 µg/m³), with peak values from 9:00 to 10:00. Intra-day variability was high (average CV% 33%, max 42%), suggesting a role of routes and timing. While eBC levels remained below the occupational limit defined for elemental carbon (a closely related marker), the findings still highlight a relevant professional risk. Further analysis will model exposure, focusing on spatial and temporal determinants such as urban layout, routes, road types, and meteorological factors.