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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...

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Autores principales: Ji, Xinglai, Tang, Jie, Halberg, Richard, Busam, Dana, Ferriera, Steve, Peña, Maria Marjorette O, Venkataramu, Chinnambally, Yeatman, Timothy J, Zhao, Shaying
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
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.
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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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