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Med. oral patol. oral cir. bucal (Internet) ; 25(3): e431-e438, mayo 2020. ilus, tab, graf
Article in English | IBECS | ID: ibc-196333

ABSTRACT

BACKGROUND: Although new digital pathology tools have improved the positive cell quantification, there is a heterogeneity of the quantification methods in the literature. The aim of this study was to evaluate and propose a novel dendritic cells quantification method in squamous cell carcinoma comparing it with a conventional quantification method. MATERIAL AND METHODS: Twenty-six squamous cell carcinomas HIV-positive cases affecting the oropharynx, lips and oral cavity were selected. Immunohistochemistry for CD1a, CD83, and CD207 was performed. The immunohistochemical stains were evaluated by automated examination using a positive pixel count algorithm. A conventional quantification method (unspecific area method; UA) and a novel method (specific area method; SA) were performed obtaining the corresponding density of positive dendritic cells for the intratumoral and peritumoral regions. The Mann-Whitney U test was used to verify the influence of the quantification methods on the positive cell counting according to the evaluated regions. Data were subjected to the ANOVA and Student's t-test to verify the influence of the tumour location, stage, histological grade, and amount of inflammation on the dendritic cells density counting. RESULTS: The cell quantification method affected the dendritic cells counting independently of the evaluated region (P-value < 0.05). Significant differences between methods were also observed according to the tumour features evaluations. CONCLUSIONS: The positive cell quantification method influences the dendritic cells density results. Unlike the conventional method (UA method), the novel SA method avoids non-target areas included in the hotspots improving the reliability and reproducibility of the density cell quantification


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Subject(s)
Humans , Male , Female , Adult , Middle Aged , HIV Infections/pathology , Dendritic Cells/pathology , Carcinoma, Squamous Cell/pathology , Mouth Neoplasms/pathology , Oropharyngeal Neoplasms/pathology , HIV Infections/virology , Dendritic Cells/virology , Paraffin Embedding , Immunohistochemistry/methods , Statistics, Nonparametric , Analysis of Variance , Carcinoma, Squamous Cell/virology , Mouth Neoplasms/virology , Oropharyngeal Neoplasms/virology
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