Tumor-Associated Tissue Eosinophilia as a Prognostic Factor in Squamous Cell Carcinoma of the Larynx
Tóm tắt
Inflammatory infiltration with eosinophilia in or around the tumoral tissue varies among the cases with invasive squamous cell carcinoma of the larynx. The aim of this study was to investigate the possible role of the tumor-associated tissue eosinophilia (TATE) as a predictive factor for the metastatic status in laryngeal squamous cell carcinoma in patients who had neck dissections. One hundred consecutive specimens from the patients who had been treated surgically for invasive squamous cell carcinoma of the larynx were re-evaluated in terms of TATE. Based on the eosinophil counts per 10 high power field (HPF), the cases were grouped into three different categories (I, II, III) according to three different cut off values (A, B, C). The number of eosinophil cells per 10 HPF for the groups were defined as: IA: 0–10; IB: 11–29; IC: 30 and greater; IIA: 0–20; IIB: 21–39; IIC: 40 and greater; IIIA: 0–30; IIIB: 31–49; IIIC: 50 and greater. Statistical significance between tissue eosinophil counts of the metastatic and non-metastatic lymph node groups were evaluated. This study comprised 97 male and three female patients with squamous cell carcinoma of the larynx (mean age 59.9). Forty-five were well differentiated, 50 were moderately differentiated and five were poorly differentiated invasive squamous cell carcinoma. At least one lymph node metastasis was observed in 34 cases. Eosinophil counts varied between 1 and 138 per 10 HPF in the tumor and/or peritumoral areas. In the three distinct categories with three different cut off values of eosinophil cell counts among nonmetastatic cases and cases with lymph node metastasis, correlation of eosinophil counts with lymph node metastasis were statistically insignificant (Crosstabs, χ2). Although in the series, numerical values of the TATE seem to be increased in patients with laryngeal squamous cell carcinoma with lymph node metastasis, this fact has not been confirmed with statistical analysis.
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