The relationship between the neutrophil percentage to albumin ratio and the occurrence of prostate cancer

TL;DR

This study explores how the ratio of neutrophil percentage to albumin relates to prostate cancer risk using data from a large health survey.

Contribution

The study introduces the Neutrophil Percentage-to-Albumin Ratio (NPAR) as a potential marker for prostate cancer risk.

Findings

NPAR showed a statistically significant association with prostate cancer prevalence using logistic regression.

Machine learning identified NPAR and age as the most influential variables for prostate cancer.

Subgroup analysis found significant correlations between NPAR and factors like age, race, and smoking status.

Abstract

Although prior research has indicated that nutritional and inflammatory markers may play a role in prostate cancer development, the exact interplay and underlying mechanisms are not yet fully understood.

The study population comprised 16,481 males from the NHANES database, after excluding participants with missing covariates. The Neutrophil Percentage-to-Albumin Ratio (NPAR) was used to assess the inflammation and nutritional status. Statistical methods such as multivariable logistic regression, eXtreme Gradient Boosting model, subgroup analysis, and Generalized Additive Model were used to analyze the relationship between NPAR and prostate cancer prevalence.

The restricted cubic splines of the independent variable NPAR and the dependent variable (prostate cancer prevalence) were statistically significant based on the logistic regression analysis. The eXtreme Gradient Boosting machine learning model identified the NPAR and age as the most influential variables for prostate cancer. Subgroup analysis revealed significant correlations between the NPAR and age, race, and smoking status. Clinical validation has confirmed the diagnostic significance of NPAR in prostate cancer.

A positive correlation was observed between NPAR and prostate cancer prevalence, indicating the potential mechanism of developing the disease. However, due to the cross-sectional design and self-reported cancer diagnoses in the NHANES database, causality cannot be established.

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