Cancer Epidemiology最新文献

{"title":"Indirect adjustment of tobacco smoking in occupational studies of lung cancer: A systematic review of the available methods and their applications","authors":"Behzad Heibati ,&nbsp;Jo S. Stenehjem ,&nbsp;Elisabeta Pletea ,&nbsp;Michelle C. Turner ,&nbsp;Eva S. Schernhammer ,&nbsp;Damien M. McElvenny ,&nbsp;Tom Loney ,&nbsp;Kurt Straif ,&nbsp;Irina Guseva Canu","doi":"10.1016/j.canep.2025.102820","DOIUrl":"10.1016/j.canep.2025.102820","url":null,"abstract":"<div><div>Tobacco smoking is an important risk factor and potentially a major confounding factor in occupational lung cancer studies. However, as individual information on tobacco smoking is often not available, indirect adjustment methods may be used to account for potential confounding from smoking. Therefore, we aimed at providing an overview of the available indirect adjustment methods for smoking in studies of occupational exposures and lung cancer risk. We conducted a systematic search of relevant studies that applied statistical methods for indirect adjustment of tobacco smoking and were published between 1-Jan-2000 and 2-Apr-2025 to capture developments in recent decades. Studies were retrieved from Embase, MEDLINE, and Web of Science. Fifteen studies fulfilled our inclusion criteria and were included. We grouped the studies into four methods of indirect smoking adjustment: (1) without distributions for adjusted data; (2) distributions for adjusted data; (3) negative control outcomes; (4) factor analysis models. For studies with an external comparison group, percentage change in estimates from before to after indirect adjustment ranged −36.1 %_to_+ 17.3 %, while the corresponding range for those with internal comparison was −16.2 %_to_+ 47.8 %. The choice of indirect adjustment method depends on the use of reference group (external vs. internal) and the data available. Adjustment methods 1 and 2 use partial cohort data or ancillary data from other similar workers and may be preferable over methods 3 and 4, if such data are available. Methods 3 and 4 may be well suited if such data are lacking but have stronger assumptions.</div></div>","PeriodicalId":56322,"journal":{"name":"Cancer Epidemiology","volume":"97 ","pages":"Article 102820"},"PeriodicalIF":2.4,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143858962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical outcomes by breast cancers diagnostic modes: A comprehensive evaluation of a national breast cancer screening programme","authors":"Quentin Rollet ,&nbsp;Isabelle Robert ,&nbsp;Sophie Couffignal ,&nbsp;Fanny Lorin ,&nbsp;Yaiza Rivero ,&nbsp;Claudine Backes","doi":"10.1016/j.canep.2025.102821","DOIUrl":"10.1016/j.canep.2025.102821","url":null,"abstract":"<div><h3>Introduction</h3><div>Breast cancer is the leading cause of diagnosis and cancer-related death among women in almost every country worldwide. To reduce and to control breast cancer mortality, Luxembourg implemented the <em>Programme Mammographie</em>, a population-based organised programme in 1992. We aimed to compare the clinical and screening characteristics of breast cancers diagnosed in Luxembourg’s eligible screening population by detection modes.</div></div><div><h3>Methods</h3><div>1618 women aged 50–71 diagnosed with a first breast cancer between 2013 and 2018 were included from Luxembourg National Cancer Registry (<em>Registre National du Cancer, RNC)</em>. The detection mode (screen-detected, interval-detected, and diagnosis-detected) is determined by linking RNC data with 144,270 participations in the <em>Programme Mammographie</em> between 2011 and 2018.</div></div><div><h3>Results</h3><div>Screen-detected breast cancers were diagnosed at younger ages, more often found <em>in situ</em>, at a lower stage at diagnosis, smaller, showed less lymph node invasion, and were more frequently treated with conservative surgery than diagnosis-detected. Interval-detected cases had the lowest proportion of <em>in situ</em> cancers and displayed distinct molecular subtypes usually considered as more aggressive. Cancers found after the initial round of participation had worse prognosis than those found after subsequent rounds. Interval cancers diagnosed during the second year had worse prognosis than those diagnosed in the first year after participation. The best prognosis was identified in screen-detected cases whose participation was on time regarding the penultimate, and the worst in diagnosis-detected with no participation over the period.</div></div><div><h3>Conclusions</h3><div>Regular participation in the <em>Programme Mammographie</em> is associated with earlier detection and less advanced forms of breast cancer at diagnosis. However, healthier behaviors among screening participants might also contribute to these outcomes. The indicators produced supports public health policies to further increase its level of effectiveness.</div></div>","PeriodicalId":56322,"journal":{"name":"Cancer Epidemiology","volume":"97 ","pages":"Article 102821"},"PeriodicalIF":2.4,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143856049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying environmental factors and biological metrics associated with cancer prevalence and mortality: An environment-wide association study","authors":"Zongyuan Li ,&nbsp;Cheng Yu ,&nbsp;Jianqi Hao ,&nbsp;Yueli Shu ,&nbsp;Jian Zhang ,&nbsp;Kejia Zhao ,&nbsp;Qiang Pu ,&nbsp;Lunxu Liu","doi":"10.1016/j.canep.2025.102828","DOIUrl":"10.1016/j.canep.2025.102828","url":null,"abstract":"<div><h3>Background</h3><div>Present knowledge about determinants of oncogenesis and cancer mortality remains incomplete, inconsistent, and controversial. We aimed to conduct an environment-wide association study (EWAS) to systematically investigate and tentatively validate correlations of environmental factors and biological metrics with prevalence and mortality of cancer.</div></div><div><h3>Methods</h3><div>All eligible participants were selected from the US National Health and Nutrition Examination Survey (NHANES) and randomly split into training and testing sets by survey years. Environmental and biological exposures were assessed through either physical examinations or laboratory tests. We conducted survey-weighted logistic regression and COX proportional hazards regression models to investigate the relationships of 398 factors with cancer prevalence and 380 factors with cancer mortality, respectively. To adjust for multiple comparisons, positive findings in the training set (false discovery rate [FDR] &lt; 5 %) were tentatively validated in the testing set (P value &lt; 0.05). Random forest models were further fitted to evaluate the importance and diagnostic value of identified factors in relation to cancer prevalence.</div></div><div><h3>Results</h3><div>Overall, 55,021 general participants and 5163 cancer survivors were included in the study of cancer prevalence and mortality, respectively. After adjusting potential confounders, we identified 7 environmental or biological factors (e.g. total bilirubin, testosterone, and beta-cryptoxanthin) associated with cancer prevalence in the general population, as well as 21, 8, and 6 indicators associated with all-cause (e.g. C-reactive protein), cancer-specific (e.g. blood selenium), and noncancer mortality (e.g. albumin) among individuals with cancer, respectively. EWAS-identified factors contributed to better performance of random forest models in predicting cancer prevalence.</div></div><div><h3>Conclusions</h3><div>Employing an EWAS approach, this study provided novel insights into potential targets for prevention and control of cancer.</div></div>","PeriodicalId":56322,"journal":{"name":"Cancer Epidemiology","volume":"97 ","pages":"Article 102828"},"PeriodicalIF":2.4,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143856048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leukemia epidemiology and burden of disease in South Africa: 2015–2019","authors":"Rochelle Woudberg ,&nbsp;Sarah Muriel Meiring ,&nbsp;Edina Sinanovic","doi":"10.1016/j.canep.2025.102818","DOIUrl":"10.1016/j.canep.2025.102818","url":null,"abstract":"<div><h3>Background</h3><div>Leukemia ranks as the 11th most prevalent cancer globally, contributing significantly to the cancer burden. Despite its rising impact, recent epidemiological data on leukemia in South Africa remain limited. This study investigates the incidence, mortality trends, and disease burden of leukemia in South Africa from 2015 to 2019.</div></div><div><h3>Methods</h3><div>Leukemia incidence data were obtained from the South African National Cancer Registry, and mortality data from Statistics South Africa for 2015–2019. Age-standardized incidence and mortality rates were calculated using mid-year population data and the Segi world standard population for standardization. The burden of disease was quantified using Years of Life Lost (YLLs), Years Lived with Disability (YLDs), and Disability-Adjusted Life Years (DALYs). Rates were compared by age, sex, year, and province.</div></div><div><h3>Results</h3><div>There were 2 001 new cases of leukemia and 1 244 deaths reported, with an incidence rate of 4.11 per 100,000 and mortality rate of 3.01 per 100,000 population. The male-to-female ratio was 1.1:1 and the mean age was 38 years at diagnosis and 53 at death. Acute myeloid leukemia was the most common type of leukemia in South Africa. Gauteng had the highest age standardized incidence rate (4.92 per 100,000), and the Western Cape had the highest age standardized mortality rate (3.98 per 100,000). In 2019, leukemia accounted for 6 309 DALYs, with a decline in age standardized DALY (-1.04 %) and YLL (-4.7 %) rate, respectively.</div></div><div><h3>Conclusion</h3><div>This study provides up-to-date incidence and mortality data, expressing the burden of leukemia in South Africa. The age-standardized mortality and DALY rates showed favorable patterns over the study period. However, the incidence rates showed an increase, which may reflect the progressive aging and growth of the population. These findings highlight the need for sustained efforts to improve leukemia detection, treatment access, and healthcare quality in South Africa.</div></div>","PeriodicalId":56322,"journal":{"name":"Cancer Epidemiology","volume":"97 ","pages":"Article 102818"},"PeriodicalIF":2.4,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143851433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"HPV-unrelated oropharyngeal cancer has elevated risk of synchronous hepatobiliary second primary malignancies compared to HPV-related oropharyngeal cancer: a population-based study from SEER","authors":"Shaopan Cao ,&nbsp;Mehran Asad Ayoubi","doi":"10.1016/j.canep.2025.102826","DOIUrl":"10.1016/j.canep.2025.102826","url":null,"abstract":"<div><h3>Background</h3><div>Our aim was to compare risk of synchronous and metachronous hepatobiliary second primary malignancies (SPMs) in survivors of human papillomavirus (HPV)-related [i.e., p16(+)] and HPV-unrelated [i.e., p16(-)] oropharyngeal cancer (OPC).</div></div><div><h3>Methods</h3><div>A retrospective study was conducted for cases with OPC diagnosis during years 2018–2021 who had known p16 status using data of USA from Surveillance, Epidemiology, and End Results (SEER) Program [Incidence - SEER Research Limited-Field Data, 22 Registries (excl IL and MA), Nov 2023 Sub (2000–2021)]. In the statistical analyses, death was considered as a competing event for the development of a hepatobiliary SPM. Bias due to unbalanced baseline characteristics was eliminated by adjustments using propensity score and inverse probability of treatment weighting (IPTW). Risk of development of a hepatobiliary SPM was assessed using propensity-score-adjusted time-varying Cox proportional hazard regression [adjusted hazard ratio (aHR) with 95 % confidence interval (95 % CI)].</div></div><div><h3>Results</h3><div>Overall, 25759 cases with tumor status of p16(-) (6353) and p16(+) (19406) with median (interquartile range) follow-up times of 14 (6, 26) and 20 (9, 32) months, respectively, were included. From these, 48 had a hepatobiliary SPM. Compared to HPV-related OPC, HPV-unrelated OPC had significantly elevated risk of synchronous all hepatobiliary SPMs [aHR= 2.39 (95 % CI, 1.11–5.15); P = 0.026] and synchronous hepatocellular carcinoma (HCC) SPM [aHR= 2.86 (95 % CI, 1.18–6.92); P = 0.020], but not metachronous ones. Curves of cumulative incidence of a hepatobiliary (or HCC) SPM and cumulative survival probability for those with a hepatobiliary SPM, both stratified by p16 status and adjusted by IPTW, were generated. The median survival time among patients with a hepatobiliary SPM was shorter for HPV-unrelated OPC (0.8 years) compared to HPV-related OPC (2.6 years).</div></div><div><h3>Conclusion</h3><div>The observed elevated risk was likely due to heavy alcohol and tobacco use and the protective role of HPV infection against HCC development in carriers of hepatitis C virus.</div></div>","PeriodicalId":56322,"journal":{"name":"Cancer Epidemiology","volume":"97 ","pages":"Article 102826"},"PeriodicalIF":2.4,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correcting uterine cancer mortality in Estonia using linkage of causes of death and cancer registry data, 2000–2021","authors":"Julia Allas ,&nbsp;Piret Veerus ,&nbsp;Aleksei Baburin ,&nbsp;Kaire Innos","doi":"10.1016/j.canep.2025.102823","DOIUrl":"10.1016/j.canep.2025.102823","url":null,"abstract":"<div><h3>Background</h3><div>Cervical and corpus uteri cancer mortality may be underestimated due to a proportion of deaths attributed to unspecified uterine cancer. The aim was to estimate corrected mortality rates and trends for cervical and corpus uteri cancer in Estonia after reallocation of underlying cause of death using individual linkage of death records and cancer registry records.</div></div><div><h3>Methods</h3><div>Deaths in Estonian female population in 2000–2021 with the underlying cause of cervical cancer (ICD-10 code C53), corpus uteri cancer (C54) or cancer of uterus not otherwise specified (C55) were individually linked to Estonian Cancer Registry to identify any cancers diagnosed in these persons. Underlying cause of death was reallocated if applicable. Original and corrected age-standardized (world) mortality trends were modelled using joinpoint regression.</div></div><div><h3>Results</h3><div>During 2000–2021, the corrected number of deaths was 1409 cervical cancer deaths (originally 1388, 1.5 % increase), 1146 corpus uteri cancer deaths (902, 27 % increase), and 50 unspecified uterine cancer deaths (368, 86 % decrease). Proportion of unspecified deaths decreased from 26 % (2000–2004) to 4 % (2016–2021) (p &lt; 0.001). After correction, cervical cancer mortality trend steepened slightly from 0.8 % decrease per year to 1.1 % decrease (both significant). Corpus uteri cancer mortality trend changed direction from significant increase of 1.9 % per year to significant decrease of 1.4 % per year.</div></div><div><h3>Conclusions</h3><div>Routine linkage of causes of death records with cancer registry is warranted for validating underlying cause of death. The results emphasize the importance of the availability of medical documentation for physicians assigning cause of death as well as relevant training.</div></div>","PeriodicalId":56322,"journal":{"name":"Cancer Epidemiology","volume":"97 ","pages":"Article 102823"},"PeriodicalIF":2.4,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between humidifier disinfectant use and development of lung cancer: A nested case-cohort study","authors":"Soyoung Park ,&nbsp;Yeon-Soon Ahn ,&nbsp;Jungyun Lim ,&nbsp;Sol Yu ,&nbsp;Younghee Kim ,&nbsp;Jongin Lee","doi":"10.1016/j.canep.2025.102822","DOIUrl":"10.1016/j.canep.2025.102822","url":null,"abstract":"<div><h3>Objective</h3><div>The outbreak of lung disease among humidifier disinfectants (HDs) users lead to the identification of humidifier disinfectants-associated lung injury (HDLI) cases. Subsequent research highlighted the respiratory health risks associated HDs but the connection to lung cancer remained uncertain. To assess the risk of lung cancer development among individuals exposed to HDs and to investigate the characteristics of HDs exposure influencing the occurrence of lung cancer.</div></div><div><h3>Materials and methods</h3><div>A cohort study was conducted using the national database, encompassing 7343 claimants exposed to HDs. The study focused on 195 confirmed lung cancer cases, employing the standardized incidence ratio (SIR) for comparisons with the general population, and the odds ratio (OR) using propensity score matching for internal comparisons.</div></div><div><h3>Results</h3><div>The study found a significantly higher incidence of lung cancer among individuals exposed to HDs compared to the general Korean population, with elevated SIRs observed in both men and women (SIR = 3.43, 95 % CI = 2.81–4.13 for men; SIR = 11.19, 95 % CI = 8.95–13.82 for women). In the propensity score-matched case-control design, a longer duration of HDs use was associated with an increased risk of lung cancer (OR = 2.48, 95 % CI = 1.35–4.56 for using HDs for more than 49 months and OR = 1.02, 95 % CI = 1.01 – 1.03 for every one month).</div></div><div><h3>Conclusion</h3><div>The findings suggest a potential association between HDs exposure and an increased risk of lung cancer.</div></div>","PeriodicalId":56322,"journal":{"name":"Cancer Epidemiology","volume":"97 ","pages":"Article 102822"},"PeriodicalIF":2.4,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reporting stage at diagnosis: Opportunities for improvement","authors":"Marion Piñeros ,&nbsp;Eileen Morgan ,&nbsp;James Brierley","doi":"10.1016/j.canep.2025.102819","DOIUrl":"10.1016/j.canep.2025.102819","url":null,"abstract":"","PeriodicalId":56322,"journal":{"name":"Cancer Epidemiology","volume":"97 ","pages":"Article 102819"},"PeriodicalIF":2.4,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characteristics of long-term glioblastoma survivors diagnosed from 2010 to 2016 in the United States","authors":"Christine Ann Pittman Ballard ,&nbsp;Yubo Wang ,&nbsp;Carol Kruchko ,&nbsp;Jill S. Barnholtz-Sloan ,&nbsp;Yunqian Li ,&nbsp;Quinn T. Ostrom","doi":"10.1016/j.canep.2025.102810","DOIUrl":"10.1016/j.canep.2025.102810","url":null,"abstract":"<div><h3>Background</h3><div>Glioblastoma (GBM) is the most common malignant primary central nervous system (CNS) tumor, accounting for half (50.9 %) of all malignant tumors diagnosed in the US. We conducted a population-based analysis using Centers for Disease Control and Prevention’s (CDC) National Program of Cancer Registries (NPCR) survival database investigate which patient- and tumor-level factors are characteristic of long-term survivors (LTS) of GBM.</div></div><div><h3>Methods</h3><div>Individual-level survival data containing diagnoses of primary GBM were obtained from the NPCR survival database for cases diagnosed during the period of January 1st, 2010 to December 31st, 2016, and followed through December 31st, 2019. Differences in LTS (&gt;36-months) were investigated using χ² tests and multivariable logistic regression. Frequency of IDHmut-GBM by age was estimated in the same dataset from 2018 to 2021.</div></div><div><h3>Results</h3><div>Of the included GBM, 11.6 % met criteria for LTS. After adjustment for known prognostic factors, males (OR=0.78, p &lt; 0.001) and age &gt; 60 at diagnosis, were all significantly associated with decreased odds of LTS (70–79 years O =0.48, 80 + years OR=0_.21, both p &lt; 0.001). Frequency of IDHmut-GBM peaked from 25 to 34, with &lt; 5 % of GBM in those &gt; 50 having IDHmut-GBM. In a sensitivity analysis in those &gt; 50 diagnosis, both male sex and age remained significant predictors of LTS</div></div><div><h3>Conclusion</h3><div>There are multiple patient- and tumor-level factors that are associated with improved survival in GBM, with the strongest effect sizes in the multivariable models being due to age. These results demonstrate substantial heterogeneity in GBM prognosis and emphasize the distinct survival advantage associated with age at diagnosis.</div></div>","PeriodicalId":56322,"journal":{"name":"Cancer Epidemiology","volume":"97 ","pages":"Article 102810"},"PeriodicalIF":2.4,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trajectories of body fatness in adulthood and the risk of ovarian cancer","authors":"Kevin L’Espérance ,&nbsp;Sreenath Madathil ,&nbsp;Jennifer A. Ritonja ,&nbsp;Michal Abrahamowicz ,&nbsp;Vikki Ho ,&nbsp;Belinda Nicolau ,&nbsp;Jennifer O’Loughlin ,&nbsp;Anita Koushik","doi":"10.1016/j.canep.2025.102814","DOIUrl":"10.1016/j.canep.2025.102814","url":null,"abstract":"<div><h3>Background</h3><div>While excess body fatness in older adulthood has been linked to ovarian cancer, the influence of changes in body fatness over time is unclear. This study examined the association between adulthood trajectories of body mass index (BMI), a proxy for body fatness, and ovarian cancer.</div></div><div><h3>Methods</h3><div>In a population-based case-control study (440 cases, 820 controls), we used a group-based trajectory approach to identify BMI trajectories from age 20–70. Using unconditional logistic regression, we estimated adjusted odds ratios (aOR) and 95 % confidence intervals (95 % CI) for the associations between the estimated trajectories and ovarian cancer.</div></div><div><h3>Results</h3><div>We identified three distinct BMI trajectories: a normal-stable trajectory, a normal-to-overweight trajectory and an overweight-to-obese trajectory, which included 63.2 %, 31.0 % and 6.8 % of the population, respectively. Multivariable aORs suggested that participants with normal weight at the onset of adulthood who became overweight over their adulthood time did not differ in their risk of ovarian cancer compared to those who maintained a normal weight throughout adulthood (aOR (95 %CI): 0.89 (0.69–1.16)). Among those in the overweight-to-obese trajectory, the aOR (95 %CI) was 1.45 (0.87–2.43), and thus in the direction of an increased ovarian cancer risk compared to those who maintained a normal weight.</div></div><div><h3>Conclusion</h3><div>Our findings underscore the need for further research to clarify the role of body fatness across the lifetime in the etiology of ovarian cancer.</div></div>","PeriodicalId":56322,"journal":{"name":"Cancer Epidemiology","volume":"96 ","pages":"Article 102814"},"PeriodicalIF":2.4,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}