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      Age at lung cancer diagnosis in females versus males who never smoke by race and ethnicity

      research-article
      1 , , 1 , 2 , 3 , 4 , 5 , 6 , 6 , 6 , 1 , 1 , 1 , 2 , 7 , 1 , 8 , 9 , 9 , 6 , 10 , 11 , 12 , 13 , 14 , 12 , 13 , 14 , 15 , 15 , 15 , 16 , 12 , 13 , 14 , 4 , 12 , 13 , 14 , 7 , 2 , 1 , 1
      British Journal of Cancer
      Nature Publishing Group UK
      Lung cancer, Lung cancer

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          Abstract

          Background

          We characterized age at diagnosis and estimated sex differences for lung cancer and its histological subtypes among individuals who never smoke.

          Methods

          We analyzed the distribution of age at lung cancer diagnosis in 33,793 individuals across 8 cohort studies and two national registries from East Asia, the United States (US) and the United Kingdom (UK). Student’s t-tests were used to assess the study population differences (Δ years) in age at diagnosis comparing females and males who never smoke across subgroups defined by race/ethnicity, geographic location, and histological subtypes.

          Results

          We found that among Chinese individuals diagnosed with lung cancer who never smoke, females were diagnosed with lung cancer younger than males in the Taiwan Cancer Registry ( n = 29,832) (Δ years = −2.2 (95% confidence interval (CI):−2.5, −1.9), in Shanghai ( n = 1049) (Δ years = −1.6 (95% CI:-2.9, −0.3), and in Sutter Health and Kaiser Permanente Hawaiʽi in the US ( n = 82) (Δ years = −11.3 (95% CI: −17.7, −4.9). While there was a suggestion of similar patterns in African American and non-Hispanic White individuals. the estimated differences were not consistent across studies and were not statistically significant.

          Conclusions

          We found evidence of sex differences for age at lung cancer diagnosis among individuals who never smoke.

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          Most cited references73

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          Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

          This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.
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            UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age

            Cathie Sudlow and colleagues describe the UK Biobank, a large population-based prospective study, established to allow investigation of the genetic and non-genetic determinants of the diseases of middle and old age.
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              Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population

              Abstract The UK Biobank cohort is a population-based cohort of 500,000 participants recruited in the United Kingdom (UK) between 2006 and 2010. Approximately 9.2 million individuals aged 40–69 years who lived within 25 miles (40 km) of one of 22 assessment centers in England, Wales, and Scotland were invited to enter the cohort, and 5.5% participated in the baseline assessment. The representativeness of the UK Biobank cohort was investigated by comparing demographic characteristics between nonresponders and responders. Sociodemographic, physical, lifestyle, and health-related characteristics of the cohort were compared with nationally representative data sources. UK Biobank participants were more likely to be older, to be female, and to live in less socioeconomically deprived areas than nonparticipants. Compared with the general population, participants were less likely to be obese, to smoke, and to drink alcohol on a daily basis and had fewer self-reported health conditions. At age 70–74 years, rates of all-cause mortality and total cancer incidence were 46.2% and 11.8% lower, respectively, in men and 55.5% and 18.1% lower, respectively, in women than in the general population of the same age. UK Biobank is not representative of the sampling population; there is evidence of a “healthy volunteer” selection bias. Nonetheless, valid assessment of exposure-disease relationships may be widely generalizable and does not require participants to be representative of the population at large.
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                Author and article information

                Contributors
                batel.blechter@nih.gov
                Journal
                Br J Cancer
                Br J Cancer
                British Journal of Cancer
                Nature Publishing Group UK (London )
                0007-0920
                1532-1827
                22 February 2024
                22 February 2024
                3 May 2024
                : 130
                : 8
                : 1286-1294
                Affiliations
                [1 ]GRID grid.48336.3a, ISNI 0000 0004 1936 8075, Division of Cancer Epidemiology and Genetics, , National Cancer Institute, ; Rockville, MD USA
                [2 ]Institute of Population Health Sciences, National Health Research Institutes, ( https://ror.org/02r6fpx29) Zhunan, Taiwan
                [3 ]Department of Applied Mathematics, Chung-Yuan Christian University, ( https://ror.org/02w8ws377) Chung-Li, Taiwan
                [4 ]GRID grid.272242.3, ISNI 0000 0001 2168 5385, Division of Genome Biology, , National Cancer Center Research Institute, ; Tokyo, Japan
                [5 ]GRID grid.272242.3, ISNI 0000 0001 2168 5385, Department of Clinical Genomics, , National Cancer Center Research Institute, ; Tokyo, Japan
                [6 ]Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, ( https://ror.org/05dq2gs74) Nashville, TN USA
                [7 ]National Institute of Cancer Research, National Health Research Institutes, ( https://ror.org/02r6fpx29) Zhunan, Taiwan
                [8 ]Department of Epidemiology, Shanghai Cancer Institute, ( https://ror.org/01ty4bg86) Shanghai, China
                [9 ]Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, ( https://ror.org/05dq2gs74) Nashville, TN USA
                [10 ]GRID grid.280062.e, ISNI 0000 0000 9957 7758, Center for Integrated Health Care Research, , Kaiser Permanente Hawai’i, ; Honolulu, HI USA
                [11 ]Palo Alto Medical Foundation Research Institute, Sutter Health, ( https://ror.org/0060avh92) Palo Alto, CA USA
                [12 ]Greater Bay Area Cancer Registry, University of California, ( https://ror.org/05t99sp05) San Francisco, CA USA
                [13 ]GRID grid.266102.1, ISNI 0000 0001 2297 6811, Department of Epidemiology & Biostatistics, , University of California, ; San Francisco, CA USA
                [14 ]GRID grid.266102.1, ISNI 0000 0001 2297 6811, Helen Diller Family Comprehensive Cancer Center, , University of California, ; San Francisco, CA USA
                [15 ]Department of Population Science, American Cancer Society, ( https://ror.org/02e463172) Kennesaw, GA USA
                [16 ]University of Hawaii Cancer Center, ( https://ror.org/00kt3nk56) Honolulu, HI USA
                Author information
                http://orcid.org/0000-0001-7610-2554
                http://orcid.org/0000-0002-5821-7400
                http://orcid.org/0000-0003-1226-070X
                http://orcid.org/0000-0001-8322-0495
                http://orcid.org/0000-0002-4440-3368
                http://orcid.org/0000-0002-5418-9000
                http://orcid.org/0000-0002-0097-9971
                Article
                2592
                10.1038/s41416-024-02592-z
                11014844
                38388856
                c783c232-e9ff-47e5-a169-cdc44820526e
                © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 26 August 2023
                : 17 January 2024
                : 19 January 2024
                Funding
                Funded by: SMHS (UM1CA182910)
                Funded by: SWHS (UM1CA173640) SCCS (U01CA202979)
                Funded by: MEC (U01CA164973)
                Funded by: Taiwan’s Ministry of Health and Welfare (MOHW106-TDU-B-212–144013; MOHW107-TDU-B-212–114026)
                Funded by: Taiwan’s National Health Research Institutes (NHRI-PH-110-GP-01)
                Categories
                Article
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                © Springer Nature Limited 2024

                Oncology & Radiotherapy
                lung cancer
                Oncology & Radiotherapy
                lung cancer

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