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Association between langerhans cells population and histological grade of oral squamous cell carcinoma

CONTEXT: Langerhans cells (LCs) are a unique population of antigen processing cells in the epidermis and mucous membrane, which may play a role in the defence mechanism against epithelial tumors. AIMS: To compare the distribution of LCs in oral squamous cell carcinomas (OSCC) and normal oral epithel...

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Autores principales: Lasisi, Taye J, Oluwasola, Abideen O, Lasisi, Olawale A, Akang, Effiong E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3927330/
https://www.ncbi.nlm.nih.gov/pubmed/24574647
http://dx.doi.org/10.4103/0973-029X.125177
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author Lasisi, Taye J
Oluwasola, Abideen O
Lasisi, Olawale A
Akang, Effiong E
author_facet Lasisi, Taye J
Oluwasola, Abideen O
Lasisi, Olawale A
Akang, Effiong E
author_sort Lasisi, Taye J
collection PubMed
description CONTEXT: Langerhans cells (LCs) are a unique population of antigen processing cells in the epidermis and mucous membrane, which may play a role in the defence mechanism against epithelial tumors. AIMS: To compare the distribution of LCs in oral squamous cell carcinomas (OSCC) and normal oral epithelium; and to determine whether the population of LCs in OSCC has any correlation with histological grading of these malignancies. SETTINGS AND DESIGN: A cross-sectional immunohistochemical analysis of OSCC cases. MATERIALS AND METHODS: Forty-eight randomly selected paraffin tissue blocks of OSCC cases and 30 cases of normal oral epithelium were included. Hematoxylin and eosin-stained sections of the OSCC cases were reviewed and categorized as high-grade malignant tumors or low-grade malignant tumors. Tissue sections were analyzed for density of LCs using CD1a antibody expression. STATISTICAL ANALYSIS USED: Data are expressed as percentages compared by Chi-square statistics; mean ± standard deviation, compared by Mann-Whitney-U test and Spearman's correlation tests. RESULTS: LCs population was significantly higher in normal oral epithelium when compared with OSCC cases (P = 0.001). There was also a significant difference in the number of LCs per millimetre square area of tissue section between well-differentiated tumors and poorly-differentiated tumours (P = 0.03). There was a negative correlation between the population density of LCs and the grade of OSCC. CONCLUSIONS: These findings suggest that oral mucosal LCs are involved in immune-surveillance and immunologic impairment may characterize invasive OSCC. In addition, LCs density characterizes histological grades of OSCC, which may be of a prognostic value.
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spelling pubmed-39273302014-02-26 Association between langerhans cells population and histological grade of oral squamous cell carcinoma Lasisi, Taye J Oluwasola, Abideen O Lasisi, Olawale A Akang, Effiong E J Oral Maxillofac Pathol Original Article CONTEXT: Langerhans cells (LCs) are a unique population of antigen processing cells in the epidermis and mucous membrane, which may play a role in the defence mechanism against epithelial tumors. AIMS: To compare the distribution of LCs in oral squamous cell carcinomas (OSCC) and normal oral epithelium; and to determine whether the population of LCs in OSCC has any correlation with histological grading of these malignancies. SETTINGS AND DESIGN: A cross-sectional immunohistochemical analysis of OSCC cases. MATERIALS AND METHODS: Forty-eight randomly selected paraffin tissue blocks of OSCC cases and 30 cases of normal oral epithelium were included. Hematoxylin and eosin-stained sections of the OSCC cases were reviewed and categorized as high-grade malignant tumors or low-grade malignant tumors. Tissue sections were analyzed for density of LCs using CD1a antibody expression. STATISTICAL ANALYSIS USED: Data are expressed as percentages compared by Chi-square statistics; mean ± standard deviation, compared by Mann-Whitney-U test and Spearman's correlation tests. RESULTS: LCs population was significantly higher in normal oral epithelium when compared with OSCC cases (P = 0.001). There was also a significant difference in the number of LCs per millimetre square area of tissue section between well-differentiated tumors and poorly-differentiated tumours (P = 0.03). There was a negative correlation between the population density of LCs and the grade of OSCC. CONCLUSIONS: These findings suggest that oral mucosal LCs are involved in immune-surveillance and immunologic impairment may characterize invasive OSCC. In addition, LCs density characterizes histological grades of OSCC, which may be of a prognostic value. Medknow Publications & Media Pvt Ltd 2013 /pmc/articles/PMC3927330/ /pubmed/24574647 http://dx.doi.org/10.4103/0973-029X.125177 Text en Copyright: © Journal of Oral and Maxillofacial Pathology http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Lasisi, Taye J
Oluwasola, Abideen O
Lasisi, Olawale A
Akang, Effiong E
Association between langerhans cells population and histological grade of oral squamous cell carcinoma
title Association between langerhans cells population and histological grade of oral squamous cell carcinoma
title_full Association between langerhans cells population and histological grade of oral squamous cell carcinoma
title_fullStr Association between langerhans cells population and histological grade of oral squamous cell carcinoma
title_full_unstemmed Association between langerhans cells population and histological grade of oral squamous cell carcinoma
title_short Association between langerhans cells population and histological grade of oral squamous cell carcinoma
title_sort association between langerhans cells population and histological grade of oral squamous cell carcinoma
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3927330/
https://www.ncbi.nlm.nih.gov/pubmed/24574647
http://dx.doi.org/10.4103/0973-029X.125177
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