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Low-Density Lipoprotein Cholesterol and Prostate Cancer: A Retrospective Study.
Hu, Pengcheng; Cheng, Ruihua; Chen, Guang; Hu, Xinghui; Shen, Yanan.
Afiliação
  • Hu P; College of Life Sciences, Jilin Agricultural University, 300350 Changchun, Jilin, China.
  • Cheng R; School of Finance, Tianjin University of Economics and Finance, 300000 Tianjin, China.
  • Chen G; College of Life Sciences, Jilin Agricultural University, 300350 Changchun, Jilin, China.
  • Hu X; Department of Dermatology, Xinzhou People's Hospital, 034000 Xinzhou, Shanxi, China.
  • Shen Y; Urology Department, Xuchang Central Hospital, 461000 Xuchang, Henan, China.
Arch Esp Urol ; 77(3): 229-234, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38715162
ABSTRACT

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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / LDL-Colesterol Limite: Aged / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / LDL-Colesterol Limite: Aged / Humans / Male / Middle aged Idioma: En Ano de publicação: 2024 Tipo de documento: Article