| Title: | Total and regional fat-to-muscle mass ratio and risks of pan-cancer: a prospective cohort study |
| Journal: | BMC Medicine |
| Published: | 28 May 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40437455/ |
| DOI: | https://doi.org/10.1186/s12916-025-04102-1 |
| URL: | https://bmcmedicine.biomedcentral.com/counter/pdf/10.1186/s12916-025-04102-1 |
Publication 15215
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Abstract
Abstract</p>
BackgroundThe fat-to-muscle mass ratio (FMR) has served as a marker for various diseases. This study aimed to explore sex-specific associations between FMR in different body regions (whole body, trunk, arm, and leg) and cancer incidence.MethodsWe included 435,986 cancer-free participants (203,133 men and 232,853 women) from the UK Biobank at baseline. FMR was calculated as the ratio of fat mass to muscle mass in each body region. Multivariable Cox proportional hazards models, along with Cox models incorporating restricted cubic splines (RCS) function, were employed to examine both linear and non-linear associations between FMR and cancer risk in men and women. Additionally, a combined grouping of body mass index (BMI) and FMR was used to assess the joint impact of body composition on cancer incidence.ResultsDuring the follow-up period, 62,060 new cancer cases were recorded. Our analysis showed significant associations between both total and regional FMR and the risk of several cancers. In men, higher whole body FMR was associated with an increased risk of esophagus, stomach, colorectal, liver, pancreas, and kidney cancers, while a decreased risk was observed for prostate and non-melanoma skin cancers (FDR < 0.05). In women, higher FMR was associated with a higher incidence of gallbladder, pancreas, kidney, thyroid, breast, and uterus cancers (FDR < 0.05). Non-linear associations were observed for several cancer types, with specific FMR cut-off points presented using RCS curves. The analysis by combining BMI and FMR suggested potential interaction patterns, revealing some masked risks; for example, a significant increase in cancer incidence was also observed in individuals exhibiting high FMRs despite having low BMI.ConclusionsOur findings suggested that both total and regional FMR may serve as potential biomarkers for assessing the risk of overall and site-specific cancers.</p>
15 Keywords
- Adipose Tissue
- Adult
- Aged
- Body Composition
- Body Mass Index
- Female
- Humans
- Incidence
- Male
- Middle Aged
- Muscle, Skeletal
- Neoplasms
- Prospective Studies
- Risk Factors
- United Kingdom
15 Authors
- Ruizhi Wang
- Yudi Xu
- Yuyuan Zhang
- Yushuai Wu
- Anning Zuo
- Shutong Liu
- Yuhao Ba
- Hui Xu
- Siyuan Weng
- Zhaokai Zhou
- Hongxuan Ma
- Peng Luo
- Quan Cheng
- Xinwei Han
- Zaoqu Liu
1 Application
| Application ID | Title |
|---|---|
| 98680 | Application of artificial intelligence in tumor diagnosis and treatment |
Enabling scientific discoveries that improve human health