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Diagnostic value of expressions of cancer stem cell markers for adverse outcomes of hepatocellular carcinoma and their associations with prognosis: A Bayesian network meta‑analysis

  • Authors:
    • Zhengrong Ou
    • Shoushuo Fu
    • Jian Yi
    • Jingxuan Huang
    • Weidong Zhu
  • View Affiliations / Copyright

    Affiliations: Ward Two, Department of General Surgery, Yueyang Hospital Affiliated to Hunan Normal University, Yueyang, Hunan 414000, P.R. China, Department of Respiratory and Critical Care Medicine, Yueyang Hospital Affiliated to Hunan Normal University, Yueyang, Hunan 414000, P.R. China
    Copyright: © Ou et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 536
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    Published online on: September 6, 2024
       https://doi.org/10.3892/ol.2024.14669
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Abstract

The expression of cancer stem cell (CSC) markers adversely affect the survival prognosis of patients with hepatocellular carcinoma (HCC), but it is not clear which cancer stem cell marker has the best predictive effect on the survival prognosis and diagnostic value indicators of patients with HCC. Therefore, the present study performed a network meta‑analysis to compare the prognostic and diagnostic value of the expressions of several CSC markers for patients with HCC and to identify the most efficient CSC marker. Studies on the associations of positive CSC markers with the overall survival (OS) rate, disease‑free survival (DFS) rate, recurrence‑free survival (RFS) rate, recurrence rate, differentiation, microvascular invasion and metastasis in patients with HCC were included in the network meta‑analysis following searches on the PubMed, Embase, Elsevier and The Cochrane Library databases from January 1, 2013 to November 17, 2023. The Quality Assessment of Diagnostic Accuracy Studies‑2 tool was used to assess the quality assessment of studies, and R (version 4.3.1), Stata (version 15.0) and Review Manager (version 5.3) were used for analysis. A total of 37 studies involving 3,980 participants were included. For patients with HCC, simultaneous positivity of cytokeratin 19 (CK19) and epithelial cell adhesion molecule (EpCAM) was the strongest predictor of the OS rate [surface under the cumulative ranking curve (SUCRA), 78.65%], positive keratin 19 (K19) was the strongest predictor of the RFS and DFS rates (SUCRA, 98.93 and 84.95%, respectively), and simultaneous positivity of EpCAM and cluster of differentiation (CD)90 was the strongest predictor of the recurrence rate (SUCRA, 5.61%). In addition, positivity of CD56, K19 and CD133 had the best diagnostic efficacy for poor differentiation [superiority index, 7.4498; 95% confidence interval (CI): 0.3333, 13.0000], microvascular invasion (superiority index, 8.4777; 95% CI: 0.2308, 17.0000), and metastasis (superiority index, 5.6097; 95% CI: 0.3333, 11.0000), respectively. In conclusion, no single CSC marker possessed the best predictive effect on all indexes of survival prognosis and diagnosis of patients with HCC. In terms of survival prognosis, simultaneous positivity of CK19 and EpCAM demonstrated the strongest predictive effect on the OS rate, suggesting an association with a low OS rate in patients with HCC; positive K19 revealed the strongest predictive effect on the RFS rate and DFS rate, suggesting an association with low RFS and DFS rates in patients with HCC; and simultaneous positivity of EpCAM and CD90 had the strongest predictive effect on the recurrence rate, suggesting a high recurrence rate in patients with HCC patients. In terms of diagnostic value, CD56, K19 and CD133 were the strongest predictors of poor differentiation, microvascular invasion and metastasis, respectively. In the future, well‑designed randomized controlled trials are required to further confirm these findings.
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Copy and paste a formatted citation
Spandidos Publications style
Ou Z, Fu S, Yi J, Huang J and Zhu W: Diagnostic value of expressions of cancer stem cell markers for adverse outcomes of hepatocellular carcinoma and their associations with prognosis: A Bayesian network meta‑analysis. Oncol Lett 28: 536, 2024.
APA
Ou, Z., Fu, S., Yi, J., Huang, J., & Zhu, W. (2024). Diagnostic value of expressions of cancer stem cell markers for adverse outcomes of hepatocellular carcinoma and their associations with prognosis: A Bayesian network meta‑analysis. Oncology Letters, 28, 536. https://doi.org/10.3892/ol.2024.14669
MLA
Ou, Z., Fu, S., Yi, J., Huang, J., Zhu, W."Diagnostic value of expressions of cancer stem cell markers for adverse outcomes of hepatocellular carcinoma and their associations with prognosis: A Bayesian network meta‑analysis". Oncology Letters 28.5 (2024): 536.
Chicago
Ou, Z., Fu, S., Yi, J., Huang, J., Zhu, W."Diagnostic value of expressions of cancer stem cell markers for adverse outcomes of hepatocellular carcinoma and their associations with prognosis: A Bayesian network meta‑analysis". Oncology Letters 28, no. 5 (2024): 536. https://doi.org/10.3892/ol.2024.14669
Copy and paste a formatted citation
x
Spandidos Publications style
Ou Z, Fu S, Yi J, Huang J and Zhu W: Diagnostic value of expressions of cancer stem cell markers for adverse outcomes of hepatocellular carcinoma and their associations with prognosis: A Bayesian network meta‑analysis. Oncol Lett 28: 536, 2024.
APA
Ou, Z., Fu, S., Yi, J., Huang, J., & Zhu, W. (2024). Diagnostic value of expressions of cancer stem cell markers for adverse outcomes of hepatocellular carcinoma and their associations with prognosis: A Bayesian network meta‑analysis. Oncology Letters, 28, 536. https://doi.org/10.3892/ol.2024.14669
MLA
Ou, Z., Fu, S., Yi, J., Huang, J., Zhu, W."Diagnostic value of expressions of cancer stem cell markers for adverse outcomes of hepatocellular carcinoma and their associations with prognosis: A Bayesian network meta‑analysis". Oncology Letters 28.5 (2024): 536.
Chicago
Ou, Z., Fu, S., Yi, J., Huang, J., Zhu, W."Diagnostic value of expressions of cancer stem cell markers for adverse outcomes of hepatocellular carcinoma and their associations with prognosis: A Bayesian network meta‑analysis". Oncology Letters 28, no. 5 (2024): 536. https://doi.org/10.3892/ol.2024.14669
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