Elevated Serum Sialic Acid Levels Predict Prostate Cancer As Well As Bone Metastases
Elevated Serum Sialic Acid Levels Predict Prostate Cancer As Well As Bone Metastases
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血清唾液酸水平升高可预测前列腺癌和骨转移
DOI：
10.7150/jca.27700
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发表时间：
2019-01
影响因子：
3.9
通讯作者：
Zhonghua Xu
中科院分区：
文献类型：
--
作者：
Cong Zhang;Lei Yan;Hongkai Song;Zheng Ma;Dongshan Chen;Feilong Yang;Liang Fang;Zeyan Li;Kui Li;Dawei Li;Nengwang Yu;Hainan Liu;Zhonghua Xu
Objective: To evaluate the value of serum sialic acid (SA) in diagnosis of benign prostatic hyperplasia (BPH), prostate cancer (PCa), and bone metastases in PCa patients. Materials and Methods: Data from 540 patients who were newly diagnosed with PCa or BPH between November 2014 and March 2018 were retrospectively collected and analyzed. Pretreatment SA levels were compared across various groups, then, associations between SA levels and clinic parameters of patients were analyzed as well. Univariate and multivariate logistic regression analyses were further used to identify independent associations. Results: The mean SA levels in patients with PCa were significantly higher than with BPH (p = 0.013). Furthermore, PCa patients with bone metastases showed elevated SA levels compared with PCa without bone metastases (p < 0.001). A multivariate logistic regression model showed that: SA level > 52.35 mg/dL was identified to be independently associated with the diagnosis of PCa (HR = 1.645, p = 0.036), and SA level > 59 mg/dL was identified to be independent association with the presence of bone metastases in PCa patients (HR = 6.421, p = 0.012). Conclusions: Elevated SA level is an independent predictor of prostate cancer as well as its bone metastases. Therefore, SA level may be a promising diagnostic and prognostic biomarker for prostate cancer and bone metastases.
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DOI：
10.1007/bf02894259
发表时间：
2004-07-01
期刊：
Indian journal of clinical biochemistry : IJCB
影响因子：
--
作者：
Raval, G N;Parekh, L J;Patel, P S
通讯作者：
Patel, P S
影响因子：
--
作者：
G. Yogeeswaran
通讯作者：
G. Yogeeswaran
影响因子：
2.9
作者：
Jian He;Z. Zeng;Ping Yang;Bi-Le Chen;W. Jiang;S. Du
通讯作者：
Jian He;Z. Zeng;Ping Yang;Bi-Le Chen;W. Jiang;S. Du
影响因子：
1.9
作者：
N. Melegy;H. A. Aboulella;A. Abul-Fadl;N. Mohamed
通讯作者：
N. Melegy;H. A. Aboulella;A. Abul-Fadl;N. Mohamed
影响因子：
0.7
作者：
Gruszewska, Ewa;Chrostek, Lech;Kedra, Boguslaw
通讯作者：
Kedra, Boguslaw