| Title: | Association between biological aging and lung cancer risk: Cohort study and Mendelian randomization analysis |
| Journal: | iScience |
| Published: | 19 Jan 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/36852276/ |
| DOI: | https://doi.org/10.1016/j.isci.2023.106018 |
| Citations: | 16 (16 in last 2 years) as of 8 Aug 2024 |
Publication 7985
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Abstract
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.16 Authors
- Zhimin Ma
- Chen Zhu
- Hui Wang
- Mengmeng Ji
- Yanqian Huang
- Xiaoxia Wei
- Jing Zhang
- Yuzhuo Wang
- Rong Yin
- Juncheng Dai
- Lin Xu
- Hongxia Ma
- Zhibin Hu
- Guangfu Jin
- Meng Zhu
- Hongbing Shen
1 Application
| Application ID | Title |
|---|---|
| 48700 | Polygenic risk scores for risk assessment of lung cancer in the UK Biobank and China Kadoorie Biobank |
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