Matched-pair analysis of survival in patients with poorly differentiated versus well and moderately differentiated hypopharyngeal squamous cell carcinoma

MEDICINE(2022)

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Abstract
Hypopharyngeal squamous cell carcinoma (HPSCC) is among the most common malignances of the head and neck and is associated with a poor prognosis. Although both differentiation and tumor-node-metastasis stage affect tumor aggressiveness, the effect of differentiation on the prognosis of HPSCC at different stages is unclear. The aim of this study was to compare survival outcomes between patients with poorly differentiated versus well-differentiated and moderately differentiated HPSCC. Patients with well/moderately differentiated and poorly differentiated HPSCC were matched based on age, sex, smoking status, alcohol use, comorbidity score, tumor stage, and therapeutic strategies. The Kaplan-Meier curve and Cox proportional hazards model were used to analyze survival. A total of 204 patients with newly diagnosed HPSCC were included after matching 102 well/moderately differentiated cases and 102 poorly differentiated cases from Peking Union Medical College Hospital. Patients with well/moderately differentiated HPSCC had significantly better disease-specific survival (P = .003) and overall survival (P = .006) than patients with poorly differentiated HPSCC. Additionally, multivariable analysis indicated that increased differentiation was associated with a significantly reduced risk of overall death (adjusted hazard ratio, 0.51; 95% confidence interval, 0.34-0.78, P = .002), and death due to disease (adjusted hazard ratio, 0.44; 95% confidence interval, 0.28-0.69, P < .001). Survival outcomes differed significantly between the well/moderately differentiated and poorly differentiated HPSCC patients. Treatment strategies based on the level of pathological differentiation might be necessary to improve survival outcomes in patients with HPSCC.
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Key words
differentiation, hypopharyngeal neoplasms, matched-pair analysis, squamous cell carcinoma, survival analysis
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