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Serum lipid profiles: novel biomarkers predicting advanced prostate cancer in patients receiving radical prostatectomy

This study aimed to evaluate the role of serum lipid profiles as novel biomarkers in predicting pathological characteristics of prostate cancer (PCa). We retrospectively analyzed 322 consecutive patients with clinically localized PCa receiving radical prostatectomy (RP) and extended pelvic lymphaden...

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Autores principales: Zhang, Gui-Ming, Qin, Xiao-Jian, Zhang, Hai-Liang, Xiao, Wen-Jun, Zhu, Yao, Gu, Cheng-Yuan, Dai, Bo, Shi, Guo-Hai, Ye, Ding-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4650485/
https://www.ncbi.nlm.nih.gov/pubmed/25475662
http://dx.doi.org/10.4103/1008-682X.142135
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author Zhang, Gui-Ming
Qin, Xiao-Jian
Zhang, Hai-Liang
Xiao, Wen-Jun
Zhu, Yao
Gu, Cheng-Yuan
Dai, Bo
Shi, Guo-Hai
Ye, Ding-Wei
author_facet Zhang, Gui-Ming
Qin, Xiao-Jian
Zhang, Hai-Liang
Xiao, Wen-Jun
Zhu, Yao
Gu, Cheng-Yuan
Dai, Bo
Shi, Guo-Hai
Ye, Ding-Wei
author_sort Zhang, Gui-Ming
collection PubMed
description This study aimed to evaluate the role of serum lipid profiles as novel biomarkers in predicting pathological characteristics of prostate cancer (PCa). We retrospectively analyzed 322 consecutive patients with clinically localized PCa receiving radical prostatectomy (RP) and extended pelvic lymphadenectomy. Unconditional logistic regression was used to estimate the prostatectomy Gleason score (pGS), pathological stage and lymph node involvement (LNI) in RP specimens. Preoperative prostate-specific antigen (PSA) levels, biopsy GS (bGS), and preoperative tumor, node, metastasis staging were used as basic variables to predict postoperative pathological characteristics. Preoperative serum lipid profiles were introduced as potential predictors. A receiver operating characteristic (ROC) curve was used to determine predictive efficacy. Significant differences in pathological characteristics were observed among patients with normal and abnormal total cholesterol (TC), triglyceride (TG), and low-density lipoprotein (LDL) levels, with the exception of pGS in the TG group. Multivariable regression analysis revealed that the odds ratio for high levels of TC for LNI compared with normal TC levels was 6.386 (95% confidence interval [CI] 1.510–27.010), 3.270 (95% CI: 1.470–7.278) for high levels of TG for pT3–4 disease, and 2.670 (95% CI: 1.134–6.287) for high levels of LDL for pGS. The area under the ROC curve of the models with dyslipidemia was larger than that in models without dyslipidemia, in predicting pathological characteristics. Abnormal TC, TG, and LDL levels are significantly associated with postoperative pathological status in PCa patients. Together with preoperative PSA levels, bGS, and clinical stage, dyslipidemia is more accurate in predicting pathological characteristics.
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spelling pubmed-46504852015-12-10 Serum lipid profiles: novel biomarkers predicting advanced prostate cancer in patients receiving radical prostatectomy Zhang, Gui-Ming Qin, Xiao-Jian Zhang, Hai-Liang Xiao, Wen-Jun Zhu, Yao Gu, Cheng-Yuan Dai, Bo Shi, Guo-Hai Ye, Ding-Wei Asian J Androl Original Article This study aimed to evaluate the role of serum lipid profiles as novel biomarkers in predicting pathological characteristics of prostate cancer (PCa). We retrospectively analyzed 322 consecutive patients with clinically localized PCa receiving radical prostatectomy (RP) and extended pelvic lymphadenectomy. Unconditional logistic regression was used to estimate the prostatectomy Gleason score (pGS), pathological stage and lymph node involvement (LNI) in RP specimens. Preoperative prostate-specific antigen (PSA) levels, biopsy GS (bGS), and preoperative tumor, node, metastasis staging were used as basic variables to predict postoperative pathological characteristics. Preoperative serum lipid profiles were introduced as potential predictors. A receiver operating characteristic (ROC) curve was used to determine predictive efficacy. Significant differences in pathological characteristics were observed among patients with normal and abnormal total cholesterol (TC), triglyceride (TG), and low-density lipoprotein (LDL) levels, with the exception of pGS in the TG group. Multivariable regression analysis revealed that the odds ratio for high levels of TC for LNI compared with normal TC levels was 6.386 (95% confidence interval [CI] 1.510–27.010), 3.270 (95% CI: 1.470–7.278) for high levels of TG for pT3–4 disease, and 2.670 (95% CI: 1.134–6.287) for high levels of LDL for pGS. The area under the ROC curve of the models with dyslipidemia was larger than that in models without dyslipidemia, in predicting pathological characteristics. Abnormal TC, TG, and LDL levels are significantly associated with postoperative pathological status in PCa patients. Together with preoperative PSA levels, bGS, and clinical stage, dyslipidemia is more accurate in predicting pathological characteristics. Medknow Publications & Media Pvt Ltd 2015 2014-11-21 /pmc/articles/PMC4650485/ /pubmed/25475662 http://dx.doi.org/10.4103/1008-682X.142135 Text en Copyright: © Asian Journal of Andrology http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Zhang, Gui-Ming
Qin, Xiao-Jian
Zhang, Hai-Liang
Xiao, Wen-Jun
Zhu, Yao
Gu, Cheng-Yuan
Dai, Bo
Shi, Guo-Hai
Ye, Ding-Wei
Serum lipid profiles: novel biomarkers predicting advanced prostate cancer in patients receiving radical prostatectomy
title Serum lipid profiles: novel biomarkers predicting advanced prostate cancer in patients receiving radical prostatectomy
title_full Serum lipid profiles: novel biomarkers predicting advanced prostate cancer in patients receiving radical prostatectomy
title_fullStr Serum lipid profiles: novel biomarkers predicting advanced prostate cancer in patients receiving radical prostatectomy
title_full_unstemmed Serum lipid profiles: novel biomarkers predicting advanced prostate cancer in patients receiving radical prostatectomy
title_short Serum lipid profiles: novel biomarkers predicting advanced prostate cancer in patients receiving radical prostatectomy
title_sort serum lipid profiles: novel biomarkers predicting advanced prostate cancer in patients receiving radical prostatectomy
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4650485/
https://www.ncbi.nlm.nih.gov/pubmed/25475662
http://dx.doi.org/10.4103/1008-682X.142135
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