Risk factors and prognostic models of lymph node metastatic hypopharyngeal squamous cell carcinoma

PurposeTo explore the risk factors for lymph node metastasis (LNM) and establish nomograms for predicting survival outcomes and assessing individual risk in patients with LNM and hypopharyngeal squamous carcinoma (HSCC).MethodsClinical data of patients with HSCC were retrospectively reviewed. The study's primary endpoints were overall survival (OS) and disease-specific survival (DSS). Nomograms were established based on Cox regression analyses. The accuracy and calibration ability of the nomograms were evaluated using the C-index, area under the curve, calibration curves, and decision curve analysis.ResultsOverall, 2888 patients were enrolled, and the LNM rate was 74.2%. Age & LE; 60 years, male sex, unmarried status, pyriform sinus location, grade III-IV, tumor larger than 4 cm, and advanced T stage increased the risk of LNM. In addition, LNM was a negative prognostic factor for OS and DSS. Ten variables were identified and incorporated into nomograms to estimate OS and DSS. Our nomograms outperformed the traditional staging system in training and validation cohorts. Patients were stratified into risk subgroups based on the OS- and DSS-nomogram scores. Patients in the high-risk subgroup had a higher risk of death and disease-specific mortality than those in the low- and intermediate-risk subgroups.ConclusionsLNM worsens the prognosis of HSCC. This study identified the independent prognostic factors for HSCC with LNM and developed satisfactory OS- and DSS-monogram to provide individual prediction and risk classification for patients with this diagnosis.

Automated summary

This study explored the risk factors for lymph node metastasis (LNM) in patients with hypopharyngeal squamous carcinoma (HSCC) and developed nomograms for predicting survival outcomes and assessing individual risk. LNM was found to be a negative prognostic factor for overall survival and disease-specific survival. The nomograms outperformed the traditional staging system and provided individual prediction and risk classification.