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Background <p>Interleukin-17 (IL-17) plays a crucial role in the development of uterine corpus endometrial carcinoma (UCEC), but its prognostic and therapeutic implications remain unclear. This study aimed to investigate IL-17-related gene signatures and their potential as prognostic markers and therapeutic targets in UCEC.</p> Results <p>We developed a prognostic model based on four IL-17-related genes (<i>SCGB1D2, SST, SELENOP, TMTC1</i>) that predicted overall survival in UCEC. High-risk scores were associated with poorer survival outcomes and an immunosuppressive tumor microenvironment. In contrast, low-risk scores correlated with immune checkpoint upregulation and higher sensitivity to immune checkpoint blockade (ICB). Immunohistochemistry confirmed the upregulation of <i>SCGB1D2</i> in UCEC tissues.</p> Conclusion <p>This IL-17-based prognostic model offers new insights into UCEC risk stratification and potential immunotherapeutic strategies. It highlights the clinical relevance of IL-17 signaling in personalized treatment approaches.</p>

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Characterization of immune landscape and prognostic value of IL-17-related signature in uterine corpus endometrial carcinoma

  • 期刊论文

  • 发表日期：

    2026年2月9日

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  • Man Yu,
  • Pei Wang,
  • Rui Liu,
  • Min Li

摘要

Background

Interleukin-17 (IL-17) plays a crucial role in the development of uterine corpus endometrial carcinoma (UCEC), but its prognostic and therapeutic implications remain unclear. This study aimed to investigate IL-17-related gene signatures and their potential as prognostic markers and therapeutic targets in UCEC.

Results

We developed a prognostic model based on four IL-17-related genes (SCGB1D2, SST, SELENOP, TMTC1) that predicted overall survival in UCEC. High-risk scores were associated with poorer survival outcomes and an immunosuppressive tumor microenvironment. In contrast, low-risk scores correlated with immune checkpoint upregulation and higher sensitivity to immune checkpoint blockade (ICB). Immunohistochemistry confirmed the upregulation of SCGB1D2 in UCEC tissues.

Conclusion

This IL-17-based prognostic model offers new insights into UCEC risk stratification and potential immunotherapeutic strategies. It highlights the clinical relevance of IL-17 signaling in personalized treatment approaches.