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Distinguishing between cancer driver and passenger gene alteration candidates via cross-species comparison: a pilot study
BACKGROUND: We are developing a cross-species comparison strategy to distinguish between cancer driver- and passenger gene alteration candidates, by utilizing the difference in genomic location of orthologous genes between the human and other mammals. As an initial test of this strategy, we conducte...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2927548/ https://www.ncbi.nlm.nih.gov/pubmed/20707908 http://dx.doi.org/10.1186/1471-2407-10-426 |
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author | Ji, Xinglai Tang, Jie Halberg, Richard Busam, Dana Ferriera, Steve Peña, Maria Marjorette O Venkataramu, Chinnambally Yeatman, Timothy J Zhao, Shaying |
author_facet | Ji, Xinglai Tang, Jie Halberg, Richard Busam, Dana Ferriera, Steve Peña, Maria Marjorette O Venkataramu, Chinnambally Yeatman, Timothy J Zhao, Shaying |
author_sort | Ji, Xinglai |
collection | PubMed |
description | BACKGROUND: We are developing a cross-species comparison strategy to distinguish between cancer driver- and passenger gene alteration candidates, by utilizing the difference in genomic location of orthologous genes between the human and other mammals. As an initial test of this strategy, we conducted a pilot study with human colorectal cancer (CRC) and its mouse model C57BL/6J Apc(Min/+), focusing on human 5q22.2 and 18q21.1-q21.2. METHODS: We first performed bioinformatics analysis on the evolution of 5q22.2 and 18q21.1-q21.2 regions. Then, we performed exon-targeted sequencing, real time quantitative polymerase chain reaction (qPCR), and real time quantitative reverse transcriptase PCR (qRT-PCR) analyses on a number of genes of both regions with both human and mouse colon tumors. RESULTS: These two regions (5q22.2 and 18q21.1-q21.2) are frequently deleted in human CRCs and encode genuine colorectal tumor suppressors APC and SMAD4. They also encode genes such as MCC (mutated in colorectal cancer) with their role in CRC etiology unknown. We have discovered that both regions are evolutionarily unstable, resulting in genes that are clustered in each human region being found scattered at several distinct loci in the genome of many other species. For instance, APC and MCC are within 200 kb apart in human 5q22.2 but are 10 Mb apart in the mouse genome. Importantly, our analyses revealed that, while known CRC driver genes APC and SMAD4 were disrupted in both human colorectal tumors and tumors from Apc(Min/+ )mice, the questionable MCC gene was disrupted in human tumors but appeared to be intact in mouse tumors. CONCLUSIONS: These results indicate that MCC may not actually play any causative role in early colorectal tumorigenesis. We also hypothesize that its disruption in human CRCs is likely a mere result of its close proximity to APC in the human genome. Expanding this pilot study to the entire genome may identify more questionable genes like MCC, facilitating the discovery of new CRC driver gene candidates. |
format | Text |
id | pubmed-2927548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-29275482010-08-25 Distinguishing between cancer driver and passenger gene alteration candidates via cross-species comparison: a pilot study Ji, Xinglai Tang, Jie Halberg, Richard Busam, Dana Ferriera, Steve Peña, Maria Marjorette O Venkataramu, Chinnambally Yeatman, Timothy J Zhao, Shaying BMC Cancer Research Article BACKGROUND: We are developing a cross-species comparison strategy to distinguish between cancer driver- and passenger gene alteration candidates, by utilizing the difference in genomic location of orthologous genes between the human and other mammals. As an initial test of this strategy, we conducted a pilot study with human colorectal cancer (CRC) and its mouse model C57BL/6J Apc(Min/+), focusing on human 5q22.2 and 18q21.1-q21.2. METHODS: We first performed bioinformatics analysis on the evolution of 5q22.2 and 18q21.1-q21.2 regions. Then, we performed exon-targeted sequencing, real time quantitative polymerase chain reaction (qPCR), and real time quantitative reverse transcriptase PCR (qRT-PCR) analyses on a number of genes of both regions with both human and mouse colon tumors. RESULTS: These two regions (5q22.2 and 18q21.1-q21.2) are frequently deleted in human CRCs and encode genuine colorectal tumor suppressors APC and SMAD4. They also encode genes such as MCC (mutated in colorectal cancer) with their role in CRC etiology unknown. We have discovered that both regions are evolutionarily unstable, resulting in genes that are clustered in each human region being found scattered at several distinct loci in the genome of many other species. For instance, APC and MCC are within 200 kb apart in human 5q22.2 but are 10 Mb apart in the mouse genome. Importantly, our analyses revealed that, while known CRC driver genes APC and SMAD4 were disrupted in both human colorectal tumors and tumors from Apc(Min/+ )mice, the questionable MCC gene was disrupted in human tumors but appeared to be intact in mouse tumors. CONCLUSIONS: These results indicate that MCC may not actually play any causative role in early colorectal tumorigenesis. We also hypothesize that its disruption in human CRCs is likely a mere result of its close proximity to APC in the human genome. Expanding this pilot study to the entire genome may identify more questionable genes like MCC, facilitating the discovery of new CRC driver gene candidates. BioMed Central 2010-08-13 /pmc/articles/PMC2927548/ /pubmed/20707908 http://dx.doi.org/10.1186/1471-2407-10-426 Text en Copyright ©2010 Ji et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Ji, Xinglai Tang, Jie Halberg, Richard Busam, Dana Ferriera, Steve Peña, Maria Marjorette O Venkataramu, Chinnambally Yeatman, Timothy J Zhao, Shaying Distinguishing between cancer driver and passenger gene alteration candidates via cross-species comparison: a pilot study |
title | Distinguishing between cancer driver and passenger gene alteration candidates via cross-species comparison: a pilot study |
title_full | Distinguishing between cancer driver and passenger gene alteration candidates via cross-species comparison: a pilot study |
title_fullStr | Distinguishing between cancer driver and passenger gene alteration candidates via cross-species comparison: a pilot study |
title_full_unstemmed | Distinguishing between cancer driver and passenger gene alteration candidates via cross-species comparison: a pilot study |
title_short | Distinguishing between cancer driver and passenger gene alteration candidates via cross-species comparison: a pilot study |
title_sort | distinguishing between cancer driver and passenger gene alteration candidates via cross-species comparison: a pilot study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2927548/ https://www.ncbi.nlm.nih.gov/pubmed/20707908 http://dx.doi.org/10.1186/1471-2407-10-426 |
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