| Title: | Red cell indices as predictors of cancer risk: findings from a large prospective cohort study |
| Journal: | BMC Cancer |
| Published: | 20 Aug 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40835910/ |
| DOI: | https://doi.org/10.1186/s12885-025-14679-8 |
| URL: | https://bmccancer.biomedcentral.com/counter/pdf/10.1186/s12885-025-14679-8 |
Publication 19717
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Abstract
BackgroundRed blood cell disorders have been implicated in tumorigenesis. Nevertheless, the association between red cell indices (RCIs), which reflect the health status of red blood cells, and the risk of cancer has yet to be determined.MethodsThis was a prospective cohort study involving 455,897 participants who were free of cancer at baseline and had measurements of RCIs, namely mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), red cell distribution width (RDW), and hemoglobin (Hb). The associations of RCIs with overall and site-specific cancer risk were examined by using multivariate Cox proportional hazards regression models with RCIs mutually adjusted. The dose-response relationships were investigated via restricted cubic splines.ResultsOver a median follow-up of 10.9 years, 47,177 participants were diagnosed with cancer. MCV (Q5 vs Q1: fully-adjusted HR = 0.83, 95% CI: 0.78-0.88) and MCH (HR = 0.83, 95% CI: 0.79-0.87) exhibited a non-linear and inverse association with the overall cancer risk (both P values for nonlinear < 0.001). Conversely, RDW showed a linear and positive association with the overall cancer risk (HR = 1.19, 95% CI: 1.15-1.23, P for linear < 0.001). For site-specific cancers, MCV and MCH exhibited inverse associations with the risks of lymphoma, leukemia, breast cancer, and kidney cancer, while RDW was positively associated with the risks of these malignancies.ConclusionsOur findings indicate that MCV, MCH, and RDW have clinical significance as potential biomarkers for predicting cancer risk. Further studies are needed to elucidate the underlying mechanisms driving these associations.</p>
12 Keywords
- Adult
- Aged
- Erythrocyte Indices
- Female
- Follow-Up Studies
- Humans
- Male
- Middle Aged
- Neoplasms
- Proportional Hazards Models
- Prospective Studies
- Risk Factors
11 Authors
- Chengqu Fu
- Xueni Cheng
- Yuefan Shen
- Xinyi Liu
- Jianv Huang
- Weiwei Chen
- Lu He
- Yingying Mao
- Wei Zhao
- Yekun Deng
- Dong Hang
1 Application
| Application ID | Title |
|---|---|
| 52217 | Serum cardiometabolic biomarkers in relation to all-cause and cause-specific mortality |
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