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Association between biological aging and lung cancer risk: Cohort study and Mendelian randomization analysis
Chronological age only represents the passage of time, whereas biological age reflects the physiology states and the susceptibility to morbidity and mortality. The association between biological age and lung cancer risk remains controversial. Hence, we conducted a prospective analysis in the UK Biob...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958377/ https://www.ncbi.nlm.nih.gov/pubmed/36852276 http://dx.doi.org/10.1016/j.isci.2023.106018 |
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author | Ma, Zhimin Zhu, Chen Wang, Hui Ji, Mengmeng Huang, Yanqian Wei, Xiaoxia Zhang, Jing Wang, Yuzhuo Yin, Rong Dai, Juncheng Xu, Lin Ma, Hongxia Hu, Zhibin Jin, Guangfu Zhu, Meng Shen, Hongbing |
author_facet | Ma, Zhimin Zhu, Chen Wang, Hui Ji, Mengmeng Huang, Yanqian Wei, Xiaoxia Zhang, Jing Wang, Yuzhuo Yin, Rong Dai, Juncheng Xu, Lin Ma, Hongxia Hu, Zhibin Jin, Guangfu Zhu, Meng Shen, Hongbing |
author_sort | Ma, Zhimin |
collection | PubMed |
description | Chronological age only represents the passage of time, whereas biological age reflects the physiology states and the susceptibility to morbidity and mortality. The association between biological age and lung cancer risk remains controversial. Hence, we conducted a prospective analysis in the UK Biobank study and two-sample Mendelian randomization analysis to investigate this association. Biological aging was evaluated by PhenoAgeAccel, derived from routine clinical biomarkers. Independent of chronological age, PhenoAgeAccel was positively associated with the risk of overall and histological subtypes of lung cancer. There was a joint effect of PhenoAgeAccel and genetics in lung cancer incidence. In Mendelian randomization analysis, the genetically predicted PhenoAgeAccel was associated with the increased risk of overall lung cancer, small cell, and squamous cell carcinoma. Our findings suggest PhenoAgeAccel is an independent risk factor for lung cancer, which could be incorporated with polygenic risk score to identify high-risk individuals for lung cancer. |
format | Online Article Text |
id | pubmed-9958377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-99583772023-02-26 Association between biological aging and lung cancer risk: Cohort study and Mendelian randomization analysis Ma, Zhimin Zhu, Chen Wang, Hui Ji, Mengmeng Huang, Yanqian Wei, Xiaoxia Zhang, Jing Wang, Yuzhuo Yin, Rong Dai, Juncheng Xu, Lin Ma, Hongxia Hu, Zhibin Jin, Guangfu Zhu, Meng Shen, Hongbing iScience Article Chronological age only represents the passage of time, whereas biological age reflects the physiology states and the susceptibility to morbidity and mortality. The association between biological age and lung cancer risk remains controversial. Hence, we conducted a prospective analysis in the UK Biobank study and two-sample Mendelian randomization analysis to investigate this association. Biological aging was evaluated by PhenoAgeAccel, derived from routine clinical biomarkers. Independent of chronological age, PhenoAgeAccel was positively associated with the risk of overall and histological subtypes of lung cancer. There was a joint effect of PhenoAgeAccel and genetics in lung cancer incidence. In Mendelian randomization analysis, the genetically predicted PhenoAgeAccel was associated with the increased risk of overall lung cancer, small cell, and squamous cell carcinoma. Our findings suggest PhenoAgeAccel is an independent risk factor for lung cancer, which could be incorporated with polygenic risk score to identify high-risk individuals for lung cancer. Elsevier 2023-01-19 /pmc/articles/PMC9958377/ /pubmed/36852276 http://dx.doi.org/10.1016/j.isci.2023.106018 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Ma, Zhimin Zhu, Chen Wang, Hui Ji, Mengmeng Huang, Yanqian Wei, Xiaoxia Zhang, Jing Wang, Yuzhuo Yin, Rong Dai, Juncheng Xu, Lin Ma, Hongxia Hu, Zhibin Jin, Guangfu Zhu, Meng Shen, Hongbing Association between biological aging and lung cancer risk: Cohort study and Mendelian randomization analysis |
title | Association between biological aging and lung cancer risk: Cohort study and Mendelian randomization analysis |
title_full | Association between biological aging and lung cancer risk: Cohort study and Mendelian randomization analysis |
title_fullStr | Association between biological aging and lung cancer risk: Cohort study and Mendelian randomization analysis |
title_full_unstemmed | Association between biological aging and lung cancer risk: Cohort study and Mendelian randomization analysis |
title_short | Association between biological aging and lung cancer risk: Cohort study and Mendelian randomization analysis |
title_sort | association between biological aging and lung cancer risk: cohort study and mendelian randomization analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958377/ https://www.ncbi.nlm.nih.gov/pubmed/36852276 http://dx.doi.org/10.1016/j.isci.2023.106018 |
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