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

前列腺癌 接收机工作特性 人口 淋巴细胞 逻辑回归 医学 体质指数 免疫学 癌症 内科学 环境卫生
作者
Lanyu Wang,Xiaowan Li,Min Liu,Hongyi Zhou,J Shao
出处
期刊:Frontiers in Cell and Developmental Biology [Frontiers Media]
卷期号:12 被引量:14
标识
DOI:10.3389/fcell.2024.1372731
摘要

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 p 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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
羽生完成签到 ,获得积分10
2秒前
2秒前
2秒前
zhong241完成签到 ,获得积分10
2秒前
ivvi发布了新的文献求助20
2秒前
2秒前
tianshicanyi发布了新的文献求助10
4秒前
4秒前
4秒前
fal完成签到,获得积分20
4秒前
小二郎应助爱吃苦瓜采纳,获得10
5秒前
Wqhao完成签到,获得积分10
6秒前
浮游窥天完成签到,获得积分10
7秒前
fal发布了新的文献求助10
7秒前
量子星尘发布了新的文献求助10
7秒前
情怀应助wang采纳,获得10
7秒前
123456发布了新的文献求助10
8秒前
悦耳新柔发布了新的文献求助10
8秒前
9秒前
9秒前
小二郎应助清脆的书桃采纳,获得10
9秒前
洁净的发夹完成签到,获得积分10
10秒前
XS_QI发布了新的文献求助10
10秒前
10秒前
环糊精发布了新的文献求助10
11秒前
11秒前
feng完成签到,获得积分10
11秒前
酷似的悟空完成签到,获得积分10
12秒前
13秒前
13秒前
树袋熊完成签到,获得积分10
14秒前
lemono_o完成签到,获得积分10
14秒前
领导范儿应助long159086采纳,获得10
15秒前
板栗发布了新的文献求助10
16秒前
台盼蓝发布了新的文献求助10
16秒前
杨雨琪完成签到,获得积分10
16秒前
17秒前
ldk完成签到,获得积分10
20秒前
科研通AI6应助小会采纳,获得10
20秒前
高分求助中
(应助此贴封号)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
Voyage au bout de la révolution: de Pékin à Sochaux 700
yolo算法-游泳溺水检测数据集 500
First Farmers: The Origins of Agricultural Societies, 2nd Edition 500
Further Studies on the Gold-Catalyzed Oxidative Domino Cyclization/Cycloaddition to Give Polyfunctional Tetracycles 400
The Start of the Start: Entrepreneurial Opportunity Identification and Evaluation 400
Simulation of High-NA EUV Lithography 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4297002
求助须知:如何正确求助?哪些是违规求助? 3822576
关于积分的说明 11967871
捐赠科研通 3464437
什么是DOI,文献DOI怎么找? 1900178
邀请新用户注册赠送积分活动 948296
科研通“疑难数据库(出版商)”最低求助积分说明 850690