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December-2026 Volume 32 Issue 6

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Article Open Access

KAZALD1 upregulation predicts poor prognosis in epithelial ovarian cancer: Clinical validation and immune correlates

  • Authors:
    • Ruru Zhao
    • Ye Hu
    • Jia Wang
    • Jingjing Lu
    • Guiqiang Du
  • View Affiliations / Copyright

    Affiliations: Department of Obstetrics and Gynecology, Shanghai First Maternity and Infant Hospital, Obstetrics and Gynecology Hospital of Tongji University, Shanghai 201204, P.R. China, Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, P.R. China, Department of Obstetrics and Gynecology, Hainan Hospital of Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Sanya, Hainan 572000, P.R. China
    Copyright: © Zhao et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 553
    |
    Published online on: October 15, 2026
       https://doi.org/10.3892/ol.2026.15908
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Abstract

Reliable biomarkers for accurate risk stratification in epithelial ovarian cancer (EOC) remain limited. While kazal type serine peptidase inhibitor domain 1 (KAZALD1), a secreted proteoglycan, has been implicated in numerous tumors, its clinical value in EOC remains unknown. The present study evaluated whether KAZALD1 is an independent prognostic biomarker in EOC and explored its associations with immune‑cell infiltration and tumor microenvironment‑associated pathways. KAZALD1 expression was analyzed using Gene Expression Omnibus datasets (GSE66957 and GSE140082) and validated through immunohistochemical (IHC) analysis in 136 EOC samples. The Cancer Genome Atlas‑Ovarian Cancer cohort (n=307) was utilized to explore immune infiltration and functional pathways. KAZALD1 mRNA levels were found to be significantly elevated in ovarian cancer compared with non‑carcinoma tissues (adjusted P<0.001). In GSE140082, KAZALD1 upregulation correlated with poor overall survival (OS) and progression‑free survival. IHC analysis determined that high KAZALD1 protein expression was significantly associated with distant metastasis (P=0.002) and advanced International Federation of Gynecology and Obstetrics stage (P=0.011). Patients with high KAZALD1 expression exhibited a significantly shorter median OS (45.0 vs. 77.0 months; P=0.015). Multivariate Cox regression identified KAZALD1 as an independent prognostic factor (hazard ratio: 1.09; 95% CI: 1.00‑1.19; P=0.042). Exploratory bioinformatic analysis demonstrated that KAZALD1 expression inversely correlated with the estimated abundance of macrophage (r=‑0.431; P=0.020) and dendritic cell (r=‑0.486; P=0.008) infiltration. In addition, its co‑expression network was significantly enriched in TGF‑β and extracellular matrix organization pathways. In conclusion, KAZALD1 was found to be a candidate independent prognostic biomarker for EOC. The observed immune associations are correlative and require validation in functional studies, spatially resolved analyses, prospective cohorts and immunotherapy‑treated populations.

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Copy and paste a formatted citation
Spandidos Publications style
Zhao R, Hu Y, Wang J, Lu J and Du G: KAZALD1 upregulation predicts poor prognosis in epithelial ovarian cancer: Clinical validation and immune correlates. Oncol Lett 32: 553, 2026.
APA
Zhao, R., Hu, Y., Wang, J., Lu, J., & Du, G. (2026). KAZALD1 upregulation predicts poor prognosis in epithelial ovarian cancer: Clinical validation and immune correlates. Oncology Letters, 32, 553. https://doi.org/10.3892/ol.2026.15908
MLA
Zhao, R., Hu, Y., Wang, J., Lu, J., Du, G."KAZALD1 upregulation predicts poor prognosis in epithelial ovarian cancer: Clinical validation and immune correlates". Oncology Letters 32.6 (2026): 553.
Chicago
Zhao, R., Hu, Y., Wang, J., Lu, J., Du, G."KAZALD1 upregulation predicts poor prognosis in epithelial ovarian cancer: Clinical validation and immune correlates". Oncology Letters 32, no. 6 (2026): 553. https://doi.org/10.3892/ol.2026.15908
Copy and paste a formatted citation
x
Spandidos Publications style
Zhao R, Hu Y, Wang J, Lu J and Du G: KAZALD1 upregulation predicts poor prognosis in epithelial ovarian cancer: Clinical validation and immune correlates. Oncol Lett 32: 553, 2026.
APA
Zhao, R., Hu, Y., Wang, J., Lu, J., & Du, G. (2026). KAZALD1 upregulation predicts poor prognosis in epithelial ovarian cancer: Clinical validation and immune correlates. Oncology Letters, 32, 553. https://doi.org/10.3892/ol.2026.15908
MLA
Zhao, R., Hu, Y., Wang, J., Lu, J., Du, G."KAZALD1 upregulation predicts poor prognosis in epithelial ovarian cancer: Clinical validation and immune correlates". Oncology Letters 32.6 (2026): 553.
Chicago
Zhao, R., Hu, Y., Wang, J., Lu, J., Du, G."KAZALD1 upregulation predicts poor prognosis in epithelial ovarian cancer: Clinical validation and immune correlates". Oncology Letters 32, no. 6 (2026): 553. https://doi.org/10.3892/ol.2026.15908
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