资源类型:
期刊
WOS体系:
Article
Pubmed体系:
Journal Article
收录情况:
◇ SCIE
文章类型:
论著
机构:
[1]Department of Urology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China.
临床科室
泌尿外科
河北医科大学第四医院
ISSN:
1792-1074
关键词:
prostate cancer
kinesin family member 11
metastasis‑free survival
vascular endothelial growth factors
摘要:
Most prostate cancer (PCa) cases remain indolent with a relatively good prognosis. However, bone metastasis of PCa can quickly worsen prognoses and lead to mortality. Metastasis-free survival (MFS), a strong surrogate for overall survival, is widely used in PCa prognosis research. The present study identified molecules that affect bone MFS in PCa, with clinical validation. Three datasets (GSE32269, GSE74367 and GSE77930) were downloaded from the Gene Expression Omnibus database. Hub genes most relevant to clinical traits (bone metastasis-associated morbidity) were identified by weighted gene co-expression network analysis (WGCNA) and subjected to logistic regression analysis. Patient samples were obtained between January 2014 and December 2016, with a clinically annotated follow-up in December 2021. Clinical data and follow-up information for 60 patients with PCa were used in MFS analysis. Tumor samples were retrieved, and immunohistochemistry was performed to detect vascular endothelial growth factor (VEGF). The prognostic potential of the two molecules was assessed using Cox proportional hazards regression analysis. A total of 16 gene modules were obtained via WGCNA, and the tan module, containing 147 genes, was most closely linked to bone metastasis. In total, 877 differentially expressed genes (DEGs) were detected. The DEG-tan module intersection yielded seven hub genes [BUB1, kinesin family member (KIF)2C, RACGAP1, CENPE, KIF11, TTK and KIF20A]. Using univariate and multivariate logistic regression analyses for independent risk factors of bone metastasis, KIF11 and VEGF were found to be significantly associated with a higher T stage, prostate-specific antigen level and Gleason score. In addition, KIF11 and VEGF expression levels were positively correlated (P<0.001). Using univariate Cox analysis, KIF11 and VEGF were found to exhibit a significant association with poor MFS (P<0.05). However, only KIF11 was significantly associated with MFS upon multivariate analysis (P=0.007; hazard ratio, 2.776; 95% confidence interval, 1.315-5.859). Markers of bone metastasis in PCa were identified. Overall, KIF11 is an independent indicator that can predict bone metastasis for patients with PCa, which could be used to guide clinical practice.Copyright: © Wang et al.
基金:
Department of Finance of Hebei
China [grant no. jcyf (2020)397].
基金编号:
grant no. jcyf (2020)397
被引次数:
11
WOS:
WOS:000844636600001
PubmedID:
35949593
中科院分区:
出版当年[2022]版:
大类
|
4 区
医学
小类
|
4 区
肿瘤学
最新[2025]版:
大类
|
4 区
医学
小类
|
4 区
肿瘤学
影响因子:
2.5
最新[2023版]
2.4
最新五年平均
2.9
出版当年[2022版]
2.6
出版当年五年平均
3.111
出版前一年[2021版]
2.5
出版后一年[2023版]
第一作者:
Wang Haoyuan
第一作者机构:
[1]Department of Urology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China.
通讯作者:
Ni Xiaochen
通讯机构:
[1]Department of Urology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China.
[*1]Department of Urology, The Fourth Hospital of Hebei Medical University, 12 Health Road, Shijiazhuang, Hebei 050000, P.R. China
推荐引用方式(GB/T 7714):
Wang Haoyuan,Li Sijie,Liu Bin,et al.KIF11: A potential prognostic biomarker for predicting bone metastasis-free survival of prostate cancer[J].ONCOLOGY LETTERS.2022,24(3):doi:10.3892/ol.2022.13432.
APA:
Wang Haoyuan,Li Sijie,Liu Bin,Wei Shufei,Wang Tianyi...&Ni Xiaochen.(2022).KIF11: A potential prognostic biomarker for predicting bone metastasis-free survival of prostate cancer.ONCOLOGY LETTERS,24,(3)
MLA:
Wang Haoyuan,et al."KIF11: A potential prognostic biomarker for predicting bone metastasis-free survival of prostate cancer".ONCOLOGY LETTERS 24..3(2022)