Open Access

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

  • Authors:
    • Haoyuan Wang
    • Sijie Li
    • Bin Liu
    • Shufei Wei
    • Tianyi Wang
    • Tao Li
    • Jiahu Lin
    • Xiaochen Ni
  • View Affiliations

  • Published online on: July 15, 2022     https://doi.org/10.3892/ol.2022.13432
  • Article Number: 312
  • Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

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.
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September-2022
Volume 24 Issue 3

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Copy and paste a formatted citation
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Spandidos Publications style
Wang H, Li S, Liu B, Wei S, Wang T, Li T, Lin J and Ni X: KIF11: A potential prognostic biomarker for predicting bone metastasis‑free survival of prostate cancer. Oncol Lett 24: 312, 2022
APA
Wang, H., Li, S., Liu, B., Wei, S., Wang, T., Li, T. ... Ni, X. (2022). KIF11: A potential prognostic biomarker for predicting bone metastasis‑free survival of prostate cancer. Oncology Letters, 24, 312. https://doi.org/10.3892/ol.2022.13432
MLA
Wang, H., Li, S., Liu, B., Wei, S., Wang, T., Li, T., Lin, J., Ni, X."KIF11: A potential prognostic biomarker for predicting bone metastasis‑free survival of prostate cancer". Oncology Letters 24.3 (2022): 312.
Chicago
Wang, H., Li, S., Liu, B., Wei, S., Wang, T., Li, T., Lin, J., Ni, X."KIF11: A potential prognostic biomarker for predicting bone metastasis‑free survival of prostate cancer". Oncology Letters 24, no. 3 (2022): 312. https://doi.org/10.3892/ol.2022.13432