KIF11: A potential prognostic biomarker for predicting bone metastasis-free survival of prostate cancer

被引:9
作者
Wang, Haoyuan [1 ]
Li, Sijie [1 ]
Liu, Bin [1 ]
Wei, Shufei [1 ]
Wang, Tianyi [1 ]
Li, Tao [1 ]
Lin, Jiahu [1 ]
Ni, Xiaochen [1 ,2 ]
机构
[1] Hebei Med Univ, Dept Urol, Hosp 4, Shijiazhuang 050000, Hebei, Peoples R China
[2] Hebei Med Univ, Dept Urol, Hosp 4, 12 Hlth Rd, Shijiazhuang 050000, Hebei, Peoples R China
关键词
prostate cancer; kinesin family member 11; metastasis-free survival; vascular endothelial growth factors; TUMORS; VEGF;
D O I
10.3892/ol.2022.13432
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
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.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] SNAP25 is a potential prognostic biomarker for prostate cancer
    Longjiang Di
    Maoli Gu
    Yan Wu
    Guoqiang Liu
    Lishuo Zhang
    Yifei Li
    Wenjing Zhang
    Cancer Cell International, 22
  • [22] SNAP25 is a potential prognostic biomarker for prostate cancer
    Di, Longjiang
    Gu, Maoli
    Wu, Yan
    Liu, Guoqiang
    Zhang, Lishuo
    Li, Yifei
    Zhang, Wenjing
    CANCER CELL INTERNATIONAL, 2022, 22 (01)
  • [23] A gene prognostic index from cellular senescence predicting metastasis and radioresistance for prostate cancer
    Feng, Dechao
    Li, Dengxiong
    Shi, Xu
    Xiong, Qiao
    Zhang, Facai
    Wei, Qiang
    Yang, Lu
    JOURNAL OF TRANSLATIONAL MEDICINE, 2022, 20 (01)
  • [24] The impact of salvage radiotherapy initiation at PSA ≤ 0.5 ng/ml on metastasis-free survival in patients with relapsed prostate cancer following prostatectomy
    Lee, Emerson E.
    Singh, Tanmay
    Hu, Chen
    Han, Misop
    Deville, Curtiland, Jr.
    Halthore, Aditya
    Greco, Stephen
    Phuoc Tran
    DeWeese, Theodore
    Song, Daniel Y.
    PROSTATE, 2023, 83 (02) : 190 - 197
  • [25] Evaluation of prostate health index in predicting bone metastasis of prostate cancer before bone scanning
    Sun, Haoyu
    Zhu, Yaofeng
    Guo, Hongda
    Jiang, Songlin
    Guo, Hu
    Chen, Shouzhen
    INTERNATIONAL UROLOGY AND NEPHROLOGY, 2022, 54 (12) : 3079 - 3086
  • [26] RBIS as a prognostic biomarker for progression-free survival in prostate cancer: insights from bioinformatics and immune infiltration analysis
    Chen, Zexiao
    Fang, Yutong
    Zhang, Jianhua
    DISCOVER ONCOLOGY, 2025, 16 (01)
  • [27] Ferroptosis-related ACSL3 and ACTC1 predict metastasis-free survival for prostate cancer patients undergoing radical radiotherapy
    Shi, Xu
    Feng, Dechao
    Han, Ping
    Wei, Wuran
    ASIAN JOURNAL OF SURGERY, 2023, 46 (06) : 2489 - 2490
  • [28] Long non-coding RNA ENST00000503625 is a potential prognostic biomarker and metastasis suppressor gene in prostate cancer
    Li, Yaoming
    Fang, Ziyu
    Ge, Silun
    Li, Jingyi
    Qu, Le
    Shi, Xiaolei
    Zhang, Wei
    Sun, Yinghao
    Ren, Shancheng
    Wang, Luofu
    JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2023, 149 (10) : 7305 - 7317
  • [29] Long non-coding RNA ENST00000503625 is a potential prognostic biomarker and metastasis suppressor gene in prostate cancer
    Yaoming Li
    Ziyu Fang
    Silun Ge
    Jingyi Li
    Le Qu
    Xiaolei Shi
    Wei Zhang
    Yinghao Sun
    Shancheng Ren
    Luofu Wang
    Journal of Cancer Research and Clinical Oncology, 2023, 149 : 7305 - 7317
  • [30] The correlation between metastasis-free survival and overall survival in non-metastatic castration resistant prostate cancer patients from the Medical Data Vision claims database in Japan
    Mori, Asuka
    Hashimoto, Kohei
    Koroki, Yosuke
    Wu, David Bin-Chia
    Masumori, Naoya
    CURRENT MEDICAL RESEARCH AND OPINION, 2019, 35 (10) : 1745 - 1750