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Association between monocyte-to-lymphocyte ratio and prostate cancer in the U.S. population: a population-based study. | LitMetric

AI Article Synopsis

  • The study investigates the relationship between monocyte-to-lymphocyte ratio (MLR) and prostate cancer (PCa), finding a positive correlation, which suggests that higher MLR may indicate a higher risk of PCa.
  • Data from the National Health and Nutrition Examination Survey (NHANES) was analyzed, with results showing that MLR has a strong ability to predict PCa compared to other inflammatory biomarkers.
  • The conclusion emphasizes that elevated MLR levels in American adults could signal a greater risk for developing prostate cancer, highlighting the potential importance of monitoring this inflammatory marker.

Article Abstract

Introduction: Monocyte-to-lymphocyte ratio (MLR) is a convenient and noninvasive inflammatory biomarker, and inflammation has been reported to be associated with prostate cancer (PCa). Our objective was to ascertain any possible correlation between PCa and MLR.

Methods: We utilized data from the 1999-2020 cycles of the National Health and Nutrition Examination Survey (NHANES) regarding MLR and PCa. The independent associations of MLR and other inflammatory biomarkers (platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), system inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI)) with PCa was investigated using weighted multivariate logistic regression and generalized additive models. Receiver operating characteristic (ROC) curves were conducted to evaluate and contrast their diagnostic capabilities.

Results: The analysis we conducted comprised 25,367 persons in total. The mean MLR was 0.31 ± 0.14. The prevalence of PCa was 3.1%. A positive association was found between MLR and PCa (OR = 2.28; 95% CI: 1.44, 3.62). According to the interaction tests, age, body mass index (BMI), hypertension, diabetes, and smoking status did not significantly impact the relationship between MLR and PCa (all for interaction >0.05). ROC analysis showed that MLR had a stronger discriminative ability and accuracy in predicting PCa than other inflammatory biomarkers (NLR, SII, AISI, PLR, and SIRI).

Conclusion: MLR might be better than other inflammatory biomarkers (NLR, SIRI, AISI, PLR, and SII) in predicting PCa. American adults who have elevated levels of MLR, NLR, PLR, SII, and AISI should be aware that they have a greater risk of PCa.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11026607PMC
http://dx.doi.org/10.3389/fcell.2024.1372731DOI Listing

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