Development of a nomogram to predict the probability of survival in hypopharyngeal squamous cell cancer based on systemic inflammation and nutritional indicators
- Ce Wu 1, Feng Xie 1, Kai Sun 1, Liwei Jiang 1, Zhenju Xu 1, Xudong Yan 1, Lin Wang 1, Longgang Yu 1, Yan Jiang 1
- 1Department of Otolaryngology, Head and Neck Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China.
- 0Department of Otolaryngology, Head and Neck Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China.
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November 26, 2024
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View abstract on PubMed
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.
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