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Colorectal cancer driver genes identified by patient specific comparison of cytogenetic microarray
Colorectal cancer (CRC), which has high prevalence in Saudi Arabia and worldwide, needs better understanding by exploiting the latest available cytogenetic microarrays. We used biopsy tissue from consenting colorectal cancer patients to extract DNA and carry out microarray analysis using a CytoScan...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535873/ https://www.ncbi.nlm.nih.gov/pubmed/26484062 http://dx.doi.org/10.1016/j.gdata.2014.02.004 |
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author | Aziz, Mohammad Azhar Periyasamy, Sathish Yousef, Zeyad Deeb, Ahmad AlOtaibi, Majed |
author_facet | Aziz, Mohammad Azhar Periyasamy, Sathish Yousef, Zeyad Deeb, Ahmad AlOtaibi, Majed |
author_sort | Aziz, Mohammad Azhar |
collection | PubMed |
description | Colorectal cancer (CRC), which has high prevalence in Saudi Arabia and worldwide, needs better understanding by exploiting the latest available cytogenetic microarrays. We used biopsy tissue from consenting colorectal cancer patients to extract DNA and carry out microarray analysis using a CytoScan HD platform from Affymetrix. Patient specific comparisons of tumor–normal pairs were carried out. To find out the high probability key players, we performed Genomic Identification of Significant Targets in Cancer analysis and found 144 genes to form the list of driver genes. Of these, 24 genes attained high GISTIC scores and suggest being significantly associated with CRC. Loss of heterozygosity and uniparental disomy were found to affect 9 genes and suggest different mechanisms associated with CRC in every patient. Here we present the details of the methods used in carrying out the above analyses. Also, we provide some additional data on biomarker analysis that would complement the findings. |
format | Online Article Text |
id | pubmed-4535873 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-45358732015-10-19 Colorectal cancer driver genes identified by patient specific comparison of cytogenetic microarray Aziz, Mohammad Azhar Periyasamy, Sathish Yousef, Zeyad Deeb, Ahmad AlOtaibi, Majed Genom Data Data in Brief Colorectal cancer (CRC), which has high prevalence in Saudi Arabia and worldwide, needs better understanding by exploiting the latest available cytogenetic microarrays. We used biopsy tissue from consenting colorectal cancer patients to extract DNA and carry out microarray analysis using a CytoScan HD platform from Affymetrix. Patient specific comparisons of tumor–normal pairs were carried out. To find out the high probability key players, we performed Genomic Identification of Significant Targets in Cancer analysis and found 144 genes to form the list of driver genes. Of these, 24 genes attained high GISTIC scores and suggest being significantly associated with CRC. Loss of heterozygosity and uniparental disomy were found to affect 9 genes and suggest different mechanisms associated with CRC in every patient. Here we present the details of the methods used in carrying out the above analyses. Also, we provide some additional data on biomarker analysis that would complement the findings. Elsevier 2014-03-13 /pmc/articles/PMC4535873/ /pubmed/26484062 http://dx.doi.org/10.1016/j.gdata.2014.02.004 Text en © 2014 The Authors http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). |
spellingShingle | Data in Brief Aziz, Mohammad Azhar Periyasamy, Sathish Yousef, Zeyad Deeb, Ahmad AlOtaibi, Majed Colorectal cancer driver genes identified by patient specific comparison of cytogenetic microarray |
title | Colorectal cancer driver genes identified by patient specific comparison of cytogenetic microarray |
title_full | Colorectal cancer driver genes identified by patient specific comparison of cytogenetic microarray |
title_fullStr | Colorectal cancer driver genes identified by patient specific comparison of cytogenetic microarray |
title_full_unstemmed | Colorectal cancer driver genes identified by patient specific comparison of cytogenetic microarray |
title_short | Colorectal cancer driver genes identified by patient specific comparison of cytogenetic microarray |
title_sort | colorectal cancer driver genes identified by patient specific comparison of cytogenetic microarray |
topic | Data in Brief |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535873/ https://www.ncbi.nlm.nih.gov/pubmed/26484062 http://dx.doi.org/10.1016/j.gdata.2014.02.004 |
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