Development of a nomogram to predict the probability of survival in hypopharyngeal squamous cell cancer based on systemic inflammation and nutritional indicators

  • 0Department of Otolaryngology, Head and Neck Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China.

Summary

This summary is machine-generated.

This study developed a nomogram to predict survival in hypopharyngeal squamous cell carcinoma (HPSCC) patients using inflammatory markers like the systemic immune-inflammatory index (SII) and advanced lung cancer inflammatory index (ALI). The nomogram aids in personalized treatment decisions for HPSCC.

Area Of Science

  • Oncology
  • Inflammation Research
  • Surgical Oncology

Background

  • The prognostic value of systemic inflammatory and nutritional markers in hypopharyngeal squamous cell carcinoma (HPSCC) requires further clarification.
  • Accurate survival prediction is crucial for optimizing treatment strategies in HPSCC patients.

Purpose Of The Study

  • To develop and validate a predictive nomogram for survival in HPSCC patients undergoing resection.
  • To identify key systemic inflammatory and nutritional markers with prognostic significance in HPSCC.

Main Methods

  • Retrospective analysis of data from 236 HPSCC patients.
  • Identification of predictive markers using the area under the prognostic curve (AUC).
  • Development and validation of a nomogram incorporating tumor stage, age, advanced lung cancer inflammatory index (ALI), and systemic immune-inflammatory index (SII) using COX regression analysis.

Main Results

  • The nomogram integrated tumor stage, age, ALI (cut-off 791.35), and SII (cut-off 27.80).
  • The nomogram achieved AUC values of 0.820 (1-year), 0.721 (3-year), and 0.723 (5-year) for survival prediction.
  • Calibration and decision curve analyses confirmed the nomogram's clinical utility.

Conclusions

  • Systemic immune-inflammatory index (SII) and advanced lung cancer inflammatory index (ALI) are significant prognostic factors in HPSCC.
  • The developed nomogram provides a practical tool for estimating patient survival, supporting clinical decision-making for HPSCC management.