亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Low-Density Lipoprotein Cholesterol and Prostate Cancer: A Retrospective Study

前列腺癌 胆固醇 癌症 医学 回顾性队列研究 低密度脂蛋白胆固醇 内科学 肿瘤科
作者
Pengcheng Hu,Ruihua Cheng,Guang Chen,Xueqiang Hu,Yanan Shen
出处
期刊:Archivos españoles de urología [SciELO]
卷期号:77 (3): 229-229
标识
DOI:10.56434/j.arch.esp.urol.20247703.30
摘要

Background: This work aimed to investigate the potential role of abnormal lipid metabolism in the development of prostate cancer (PCa). Methods: A retrospective study design was used. The clinical data of 520 patients who underwent rectal prostate biopsy in our hospital from January 2020 to June 2023 were analysed. The patients were enrolled and divided into the anterior PCa group including 112 patients and benign prostatic hyperplasia (BPH) group including 408 patients. Univariate and multivariate logistic regression analyses were performed for the two patient groups, and further comparisons were made according to the Gleason score and TNM staging. Results: Low-density lipoprotein cholesterol (LDL-C) level may be an independent risk factor for PCa, and it was significantly associated with the risk of PCa (odds ratio (OR) = 1.363, p = 0.030). Patients with PCa were further divided into the low risk group and the high risk group according to the Gleason score. Univariate analysis (p = 0.047) and logistic regression analysis (OR = 2.249, p = 0.036) revealed that LDL-C was a significant factor influencing the Gleason score. Patients with PCa were categorised into four groups based on TNM staging. One-way analysis of variance (ANOVA) analysis (p = 0.015) and ordinal logistic regression analysis (OR = 2.414, p = 0.007) demonstrated that LDL-C was a significant factor influencing TNM staging. Conclusions: This study revealed the important role of LDL-C in the development of PCa, highlighting its influence as an independent risk factor. Thus, LDL-C may promote the proliferation and invasion of PCa cells.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
10秒前
catherine完成签到,获得积分10
11秒前
鳄鱼发布了新的文献求助10
14秒前
wzgkeyantong完成签到,获得积分10
22秒前
星辰大海应助鳄鱼采纳,获得10
25秒前
czyzyzy完成签到,获得积分10
46秒前
blenx完成签到,获得积分10
47秒前
NattyPoe完成签到,获得积分10
54秒前
58秒前
FeelingUnreal完成签到,获得积分10
1分钟前
GHOSTagw完成签到,获得积分10
1分钟前
深情安青应助benzoin采纳,获得10
1分钟前
1分钟前
Zdh同学发布了新的文献求助10
1分钟前
1分钟前
benzoin发布了新的文献求助10
1分钟前
chenyue233完成签到,获得积分10
2分钟前
机智的孤兰完成签到 ,获得积分10
2分钟前
懒得起名字完成签到 ,获得积分10
3分钟前
华仔应助科研通管家采纳,获得30
3分钟前
benzoin完成签到,获得积分20
3分钟前
脑洞疼应助鳗鱼凡波采纳,获得10
3分钟前
鳗鱼凡波完成签到,获得积分10
3分钟前
3分钟前
4分钟前
4分钟前
4分钟前
4分钟前
4分钟前
4分钟前
4分钟前
Zhoey完成签到,获得积分10
4分钟前
Ava应助鲜艳的手链采纳,获得10
4分钟前
Ava应助hipig采纳,获得10
4分钟前
5分钟前
上官若男应助科研通管家采纳,获得10
5分钟前
5分钟前
科研通AI6.2应助lj采纳,获得10
6分钟前
charih完成签到 ,获得积分10
6分钟前
6分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
T/SNFSOC 0002—2025 独居石精矿碱法冶炼工艺技术标准 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6042539
求助须知:如何正确求助?哪些是违规求助? 7795269
关于积分的说明 16237310
捐赠科研通 5188333
什么是DOI,文献DOI怎么找? 2776395
邀请新用户注册赠送积分活动 1759481
关于科研通互助平台的介绍 1642989