Prognostic Factors and Long-Term Outcome Prediction in Patients with Hypopharyngeal Carcinoma Treated with (Chemo)radiotherapy: Development of a Prognostic Model

<b>Background/Objectives</b>: To evaluate the effectiveness of curative (chemo)radiotherapy in patients with hypopharyngeal carcinoma and to identify prognostic factors influencing treatment outcomes. <b>Methods</b>: We conducted a retrospective study of 173 consecutive patie...

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Main Authors: Miloslav Pala, Pavla Novakova, Adam Tesar, Lucie Vesela, Antonin Vrana, Jarmila Sukova, Zdenka Pechacova, Petra Holeckova, Tereza Drbohlavova, Tomas Podlesak, Petra Tesarova
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Biomedicines
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Online Access:https://www.mdpi.com/2227-9059/13/2/417
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Summary:<b>Background/Objectives</b>: To evaluate the effectiveness of curative (chemo)radiotherapy in patients with hypopharyngeal carcinoma and to identify prognostic factors influencing treatment outcomes. <b>Methods</b>: We conducted a retrospective study of 173 consecutive patients, treated with definitive or postoperative (chemo)radiotherapy from 2002 to 2020 [median age 60 years; current/former smokers 95%; UICC stage III/IV 96%]. Radiation therapy was preceded by a radical resection of a primary tumor in 32% of patients. One hundred patients received chemotherapy. <b>Results</b>: The median total dose of radiotherapy achieved was 70 Gy. The five- and ten-year locoregional controls were 63%, and the five- and ten-year distant controls were 77% and 76%, respectively. The five- and ten-year overall survival rates were 24% and 9%, respectively. <b>Conclusions</b>: The results demonstrate the limited effectiveness of curative (chemo)radiotherapy in patients with hypopharyngeal carcinoma with long-term locoregional and distant control of half of the treated patients. The multivariate analysis indicated that initial surgery, chemotherapy, comorbidity score (as assessed by ACE-27), pretreatment tracheostomy, hemoglobin level and initial response to treatment were the strongest prognostic factors in predicting survival. Using these factors, corresponding predictive models were constructed.
ISSN:2227-9059