Autor: |
Guven, Deniz Can, Erul, Enes, Yilmaz, Feride, Yasar, Serkan, Yildirim, Hasan Cagri, Ercan, Fatih, Kaygusuz, Yunus, Cayiroz, Kerim, Ucdal, Mete Tugcan, Yesil, Furkan, Yazici, Gozde, Cengiz, Mustafa, Gullu, Ibrahim, Aksoy, Sercan |
Předmět: |
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Zdroj: |
European Archives of Oto-Rhino-Laryngology; May2023, Vol. 280 Issue 5, p2471-2478, 8p |
Abstrakt: |
Purpose: A significant portion of patients with locally advanced head and neck squamous cell carcinoma (HNSCC) relapse despite multimodality treatment denoting the need for biomarkers. The pan-immune-inflammation value (PIV) is a recently developed blood count-based prognostic biomarker. We evaluated the relationship between PIV and survival in locally advanced HNSCC patients treated with chemoradiotherapy (CRT). Methods: A total of 199 patients who underwent CRT at Hacettepe University Oncology Hospital were included. The relationship between clinical and laboratory parameters with overall survival (OS) and disease-free survival (DFS) was analyzed by multivariate analyses. Results: The median age was 59 years and 90.5% of the patients were male. 66.8% of the patients had laryngeal primaries, and 78.9% had T3–T4 disease. 84.9% of the patients received CRT with cisplatin. The optimal PIV threshold value was calculated as 404 in ROC analyses. This PIV value had 75.8% sensitivity and 70.4% specificity for OS prediction (AUC 0.781; 95% CI 0.715–0.846; p < 0.001). In multivariate analyses, high PIV levels (≤ 404 vs. > 404, HR 2.862; 95% CI 1.553–5.276; p = 0.001), higher NLR (≤ 2.5 vs. > 2.5, HR 1.827; 95% CI 1.017–3.281; p = 0.044) levels and ECOG performance score of 2 (HR 2.267; 95% CI 1.385–3.711; p = 0.001) were associated with shorter OS. These factors were associated with shorter DFS also (HR for PIV 2.485, 95% CI 1.383–4.467, p = 0.002). Conclusions: We observed shorter OS and DFS in locally advanced HNSCC patients with high PIV levels. If prospective studies support our findings, the PIV score could be a prognostic biomarker in HNSCC. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
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