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April 3, 2026Science Progress0 citationsOpen Access

Comparison of survival and establishment of prognostic models for patients with locally advanced squamous cell carcinoma of the hypopharynx at different sites: A retrospective study based on the SEER database

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HZHan ZhuSSShengteng ShaoMYMin Yang

Key Points

  • This research aims to evaluate survival outcomes and develop a prognostic model for locally advanced hypopharyngeal squamous cell carcinoma based on tumor location.
  • Retrospective cohort study using data from 1,591 patients with locally advanced HSCC from the SEER database.
  • Optimal cutoff values for continuous variables determined using X-tile software.
  • Kaplan–Meier analysis to compare survival based on primary tumor sites.
  • Independent prognostic factors identified using stepwise Cox regression and a nomogram created.
  • Model performance assessed through C-index, AUC, calibration curves, and decision curve analysis.
  • Overall survival and cancer-specific survival rates varied significantly by tumor location.
  • Thirteen independent prognostic factors identified through Cox regression analysis.
  • The nomogram demonstrated a C-index of 0.727 in both training and validation datasets.
  • AUC values for 1-, 3-, and 5-year overall survival were 0.792, 0.791, and 0.788 in training, and 0.780, 0.796, and 0.789 in validation.
  • Calibration curves showed good alignment between predicted and observed survival outcomes.

Abstract

Objective To assess the overall survival (OS) and cancer-specific survival (CSS) in patients with different primary locations of hypopharyngeal squamous cell carcinoma (HSCC) and to develop a predictive model incorporating key clinical and treatment variables (including systemic therapy) to serve as a prognostic reference for patients with locally advanced HSCC. Methods This retrospective cohort study extracted data for 1,591 patients with locally advanced HSCC from the Surveillance, Epidemiology, and End Results (SEER) database. X-tile software was used to determine optimal cutoff values for continuous variables. Kaplan–Meier analysis compared survival by primary site. Independent risk factors were identified using stepwise Cox regression, and a nomogram was constructed. Model performance was assessed using the concordance index (C-index), area under the receiver operating characteristic curve (AUC), calibration curves, and decision curve analysis (DCA). Results OS and CSS differed significantly by primary site. Stepwise Cox analysis identified 13 independent prognostic factors. The nomogram showed a C-index of 0.727 in both training and validation sets. The AUCs for 1-, 3-, and 5-year OS were 0.792, 0.791, 0.788 (training) and 0.780, 0.796, 0.789 (validation). Calibration curves indicated good agreement between predicted and observed outcomes. DCA demonstrated superior net benefit over TNM staging alone. Conclusion Prognosis in locally advanced HSCC varies by primary site. The developed nomogram provides moderate prognostic accuracy and may serve as a supplementary tool for risk stratification and clinical discussion, though external validation is warranted.

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Cite This Study

Zhu et al. (2026) studied this question.

synapsesocial.com/papers/69cf5dc55a333a821460badfhttps://doi.org/10.1177/00368504261441371
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