Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Aziz, Mohammad Azhar, Periyasamy, Sathish, Yousef, Zeyad, Deeb, Ahmad, AlOtaibi, Majed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
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
_version_ 1782385663413321728
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
work_keys_str_mv AT azizmohammadazhar colorectalcancerdrivergenesidentifiedbypatientspecificcomparisonofcytogeneticmicroarray
AT periyasamysathish colorectalcancerdrivergenesidentifiedbypatientspecificcomparisonofcytogeneticmicroarray
AT yousefzeyad colorectalcancerdrivergenesidentifiedbypatientspecificcomparisonofcytogeneticmicroarray
AT deebahmad colorectalcancerdrivergenesidentifiedbypatientspecificcomparisonofcytogeneticmicroarray
AT alotaibimajed colorectalcancerdrivergenesidentifiedbypatientspecificcomparisonofcytogeneticmicroarray