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Relationship between human oral lichen planus and oral squamous cell carcinoma at a genomic level: a datamining study
The leader gene approach is a data mining method based on the systematic search for genes involved in a specific process and their ranking according to the number of interconnections with the other genes identified. The genes with the strongest interconnections are termed leader genes, since they ma...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics Publishing Group
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2951714/ https://www.ncbi.nlm.nih.gov/pubmed/20975920 |
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author | Giacomelli, Luca Oluwadara, Oluwadayo Chiappe, Giacomo Barone, Antonio Chiappelli, Francesco Covani, Ugo |
author_facet | Giacomelli, Luca Oluwadara, Oluwadayo Chiappe, Giacomo Barone, Antonio Chiappelli, Francesco Covani, Ugo |
author_sort | Giacomelli, Luca |
collection | PubMed |
description | The leader gene approach is a data mining method based on the systematic search for genes involved in a specific process and their ranking according to the number of interconnections with the other genes identified. The genes with the strongest interconnections are termed leader genes, since they may be supposed to play an important role in the process. The potential of malignant progression of OLP to oral squamous cell carcinoma (OSCC) is still not completely clear. In this study, the leader gene approach is applied to investigate the association between OLP and OSCC at a molecular level. Results were integrated with those obtained in an experimental analysis (see paper 1 of this series). Genes involved in OLP and OSCC were identified by systematic queries to dedicated databases. Interconnections among identified genes were calculated and given a confidence value using STRING database. Leader genes were identified by clustering genes according to their interconnections. This theoretical analysis shows that OLP and OSCC share two leader genes: TP53 and CDKN1A, involved in the PI3K signalling events mediated by AKT pathway. This finding and those obtained in the experimental analysis suggest the possible involvement of some key genes/proteins LCK, PIK3CA, BIRC5, TP53 and CDKN1A in the malignant progression from OLP to OSCC. Moreover, these findings support the role of some molecular pathways, namely IL2 signalling events mediated by PI3K, PI3K signalling events mediated by AKT, and, possibly, Aurora A signalling in the association between OLP and OSCC. |
format | Text |
id | pubmed-2951714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Biomedical Informatics Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-29517142010-10-25 Relationship between human oral lichen planus and oral squamous cell carcinoma at a genomic level: a datamining study Giacomelli, Luca Oluwadara, Oluwadayo Chiappe, Giacomo Barone, Antonio Chiappelli, Francesco Covani, Ugo Bioinformation Prediction Model The leader gene approach is a data mining method based on the systematic search for genes involved in a specific process and their ranking according to the number of interconnections with the other genes identified. The genes with the strongest interconnections are termed leader genes, since they may be supposed to play an important role in the process. The potential of malignant progression of OLP to oral squamous cell carcinoma (OSCC) is still not completely clear. In this study, the leader gene approach is applied to investigate the association between OLP and OSCC at a molecular level. Results were integrated with those obtained in an experimental analysis (see paper 1 of this series). Genes involved in OLP and OSCC were identified by systematic queries to dedicated databases. Interconnections among identified genes were calculated and given a confidence value using STRING database. Leader genes were identified by clustering genes according to their interconnections. This theoretical analysis shows that OLP and OSCC share two leader genes: TP53 and CDKN1A, involved in the PI3K signalling events mediated by AKT pathway. This finding and those obtained in the experimental analysis suggest the possible involvement of some key genes/proteins LCK, PIK3CA, BIRC5, TP53 and CDKN1A in the malignant progression from OLP to OSCC. Moreover, these findings support the role of some molecular pathways, namely IL2 signalling events mediated by PI3K, PI3K signalling events mediated by AKT, and, possibly, Aurora A signalling in the association between OLP and OSCC. Biomedical Informatics Publishing Group 2009-12-31 /pmc/articles/PMC2951714/ /pubmed/20975920 Text en © 2009 Biomedical Informatics Publishing Group This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Prediction Model Giacomelli, Luca Oluwadara, Oluwadayo Chiappe, Giacomo Barone, Antonio Chiappelli, Francesco Covani, Ugo Relationship between human oral lichen planus and oral squamous cell carcinoma at a genomic level: a datamining study |
title | Relationship between human oral lichen planus and oral squamous cell carcinoma at a genomic level: a datamining study |
title_full | Relationship between human oral lichen planus and oral squamous cell carcinoma at a genomic level: a datamining study |
title_fullStr | Relationship between human oral lichen planus and oral squamous cell carcinoma at a genomic level: a datamining study |
title_full_unstemmed | Relationship between human oral lichen planus and oral squamous cell carcinoma at a genomic level: a datamining study |
title_short | Relationship between human oral lichen planus and oral squamous cell carcinoma at a genomic level: a datamining study |
title_sort | relationship between human oral lichen planus and oral squamous cell carcinoma at a genomic level: a datamining study |
topic | Prediction Model |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2951714/ https://www.ncbi.nlm.nih.gov/pubmed/20975920 |
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