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Molecular signatures of cell cycle transcripts in the pathogenesis of Glial tumors
BACKGROUND: Astrocytic brain tumors are among the most lethal and morbid tumors of adults, often occurring during the prime of life. These tumors form an interesting group of cancer to understand the molecular mechanism of pathogenesis. Histological grading of Astrocytoma based on WHO classification...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2004
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC437637/ https://www.ncbi.nlm.nih.gov/pubmed/15202940 http://dx.doi.org/10.1186/1477-3163-3-11 |
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author | Pillai, Anitha A Bhattacharya, Rabindra Narayan Radhakrishnan, Vishnampet V Banerjee, Moinak |
author_facet | Pillai, Anitha A Bhattacharya, Rabindra Narayan Radhakrishnan, Vishnampet V Banerjee, Moinak |
author_sort | Pillai, Anitha A |
collection | PubMed |
description | BACKGROUND: Astrocytic brain tumors are among the most lethal and morbid tumors of adults, often occurring during the prime of life. These tumors form an interesting group of cancer to understand the molecular mechanism of pathogenesis. Histological grading of Astrocytoma based on WHO classification does not provide complete information on the proliferation potential and biological behavior of the tumors. It is known that cancer results from the disruption of the orderly regulated cycle of replication and division. In the present study, we made an attempt to identify the cell cycle signatures and their involvement in the clinical aggressiveness of gliomas. METHODS: The variation in expression of various cell cycle genes was studied in different stages of glial tumor progression (low and high grades), and the results were compared with their corresponding expression levels in the normal brain tissue. Macroarray analysis was used for the purpose. RESULTS: Macroarray analysis of 114 cell cycle genes in different grades of glioma indicated differential expression pattern in 34% of the gene transcripts, when compared to the normal tissue. Majority of the transcripts belong to the intracellular kinase networks, cell cycle regulating kinases, transcription factors and transcription activators. CONCLUSION: Based on the observation in the expression pattern in low grade and high grade gliomas, it can be suggested that the upregulation of cell cycle activators are seen as an early event in glioma; however, in malignancy it is not the cell cycle activators alone, which are involved in tumorigenesis. Understanding the molecular details of cell cycle regulation and checkpoint abnormalities in cancer could offer an insight into potential therapeutic strategies. |
format | Text |
id | pubmed-437637 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-4376372004-06-27 Molecular signatures of cell cycle transcripts in the pathogenesis of Glial tumors Pillai, Anitha A Bhattacharya, Rabindra Narayan Radhakrishnan, Vishnampet V Banerjee, Moinak J Carcinog Short Paper BACKGROUND: Astrocytic brain tumors are among the most lethal and morbid tumors of adults, often occurring during the prime of life. These tumors form an interesting group of cancer to understand the molecular mechanism of pathogenesis. Histological grading of Astrocytoma based on WHO classification does not provide complete information on the proliferation potential and biological behavior of the tumors. It is known that cancer results from the disruption of the orderly regulated cycle of replication and division. In the present study, we made an attempt to identify the cell cycle signatures and their involvement in the clinical aggressiveness of gliomas. METHODS: The variation in expression of various cell cycle genes was studied in different stages of glial tumor progression (low and high grades), and the results were compared with their corresponding expression levels in the normal brain tissue. Macroarray analysis was used for the purpose. RESULTS: Macroarray analysis of 114 cell cycle genes in different grades of glioma indicated differential expression pattern in 34% of the gene transcripts, when compared to the normal tissue. Majority of the transcripts belong to the intracellular kinase networks, cell cycle regulating kinases, transcription factors and transcription activators. CONCLUSION: Based on the observation in the expression pattern in low grade and high grade gliomas, it can be suggested that the upregulation of cell cycle activators are seen as an early event in glioma; however, in malignancy it is not the cell cycle activators alone, which are involved in tumorigenesis. Understanding the molecular details of cell cycle regulation and checkpoint abnormalities in cancer could offer an insight into potential therapeutic strategies. BioMed Central 2004-06-17 /pmc/articles/PMC437637/ /pubmed/15202940 http://dx.doi.org/10.1186/1477-3163-3-11 Text en Copyright © 2004 Pillai et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. |
spellingShingle | Short Paper Pillai, Anitha A Bhattacharya, Rabindra Narayan Radhakrishnan, Vishnampet V Banerjee, Moinak Molecular signatures of cell cycle transcripts in the pathogenesis of Glial tumors |
title | Molecular signatures of cell cycle transcripts in the pathogenesis of Glial tumors |
title_full | Molecular signatures of cell cycle transcripts in the pathogenesis of Glial tumors |
title_fullStr | Molecular signatures of cell cycle transcripts in the pathogenesis of Glial tumors |
title_full_unstemmed | Molecular signatures of cell cycle transcripts in the pathogenesis of Glial tumors |
title_short | Molecular signatures of cell cycle transcripts in the pathogenesis of Glial tumors |
title_sort | molecular signatures of cell cycle transcripts in the pathogenesis of glial tumors |
topic | Short Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC437637/ https://www.ncbi.nlm.nih.gov/pubmed/15202940 http://dx.doi.org/10.1186/1477-3163-3-11 |
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