ArticleFrontiers in oncology2024
Blood cell indices and inflammation-related markers with kidney cancer risk: a large-population prospective analysis in UK Biobank.
Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Associations of systemic immune-inflammation index, product of platelet, and neutrophil count, with the pathological grade of bladder cancer.The Canadian journal of urology · 2025Article
- Using Mendelian randomization to investigate etiologic heterogeneity across renal cell carcinoma subtypes.International journal of epidemiology · 2025Article
- Red cell indices as predictors of cancer risk: findings from a large prospective cohort study.BMC cancer · 2025Article
- Cervical cancer prediction using machine learning models based on routine blood analysis.Scientific reports · 2025Article
- Multi-Indicator analysis of the impact of preoperative inflammatory states on complications following pancreatoduodenectomy.Langenbeck's archives of surgery · 2025Article
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6 authors.
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Abstract
Background: Kidney cancer is a prevalent malignancy with an increasing incidence worldwide. Blood cell indices and inflammation-related markers have shown huge potential as biomarkers for predicting cancer incidences, but that is not clear in kidney cancer. Our study aims to investigate the correlations of blood cell indices and inflammation-related markers with kidney cancer risk. Methods: We performed a population-based cohort prospective analysis using data from the UK Biobank. A total of 466,994 participants, free of kidney cancer at baseline, were included in the analysis. The hazard ratios (HRs) and 95% confidence intervals (CIs) for kidney cancer risk were calculated using Cox proportional hazards regression models. Restricted cubic spline models were used to investigate nonlinear longitudinal associations. Stratified analyses were used to identify high-risk populations. The results were validated through sensitivity analyses. Results: During a mean follow-up of 12.4 years, 1,710 of 466,994 participants developed kidney cancer. The Cox regression models showed that 13 blood cell indices and four inflammation-related markers were associated with kidney cancer incidence. The restricted cubic spline models showed non-linear relationships with kidney cancer. Finally, combined with stratified and sensitivity analyses, we found that the mean corpuscular hemoglobin concentration (MCHC), red blood cell distribution width (RDW), platelet distribution width (PDW), systemic immune-inflammation index (SII), and product of platelet count and neutrophil count (PPN) were related to enhanced kidney cancer risk with stable results. Conclusion: Our findings identified that three blood cell indices (MCHC, RDW, and PDW) and two inflammation-related markers (SII and PPN) were independent risk factors for the incidence of kidney cancer. These indexes may serve as potential predictors for kidney cancer and aid in the development of targeted screening strategies for at-risk individuals.
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