Novel Candidate Cancer Genes Identified by a Large-Scale Cross-Species Comparative Oncogenomics Approach

Jenny Mattison; Jaap Kool; Anthony G. Uren; Ridder J de; Lodewyk Wessels; Jos Jonkers; Graham R. Bignell; Adam Butler; Alistair G. Rust; Markus Brosch; Catherine H. Wilson; der Weyden L van; David A. Largaespada; Michael R. Stratton; P. Andy Futreal; Lohuizen M van; Anton Berns; Lara S. Collier; Tim Hubbard; David J. Adams

doi:10.1158/0008-5472.can-09-1737

Novel Candidate Cancer Genes Identified by a Large-Scale Cross-Species Comparative Oncogenomics Approach

Jenny Mattison, Jaap Kool, Anthony G. Uren, Ridder J de, Lodewyk Wessels, Jos Jonkers, Graham R. Bignell, Adam Butler, Alistair G. Rust, Markus Brosch, Catherine H. Wilson, der Weyden L van, David A. Largaespada, Michael R. Stratton, P. Andy Futreal, Lohuizen M van, Anton Berns, Lara S. Collier, Tim Hubbard, David J. Adams

School of Biomedical Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

Abstract Comparative genomic hybridization (CGH) can reveal important disease genes but the large regions identified could sometimes contain hundreds of genes. Here we combine high-resolution CGH analysis of 598 human cancer cell lines with insertion sites isolated from 1,005 mouse tumors induced with the murine leukemia virus (MuLV). This cross-species oncogenomic analysis revealed candidate tumor suppressor genes and oncogenes mutated in both human and mouse tumors, making them strong candidates for novel cancer genes. A significant number of these genes contained binding sites for the stem cell transcription factors Oct4 and Nanog. Notably, mice carrying tumors with insertions in or near stem cell module genes, which are thought to participate in cell self-renewal, died significantly faster than mice without these insertions. A comparison of the profile we identified to that induced with the Sleeping Beauty (SB) transposon system revealed significant differences in the profile of recurrently mutated genes. Collectively, this work provides a rich catalogue of new candidate cancer genes for functional analysis. Cancer Res; 70(3); 883–95

Original language	English
Pages (from-to)	883-895
Number of pages	0
Journal	Cancer Research
Volume	70
Issue number	3
Early online date	31 Jan 2010
DOIs	https://doi.org/10.1158/0008-5472.can-09-1737
Publication status	Published - 1 Feb 2010

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Mattison, J., Kool, J., Uren, A. G., de, R. J., Wessels, L., Jonkers, J., Bignell, G. R., Butler, A., Rust, A. G., Brosch, M., Wilson, C. H., van, D. W. L., Largaespada, D. A., Stratton, M. R., Futreal, P. A., van, L. M., Berns, A., Collier, L. S., Hubbard, T., & Adams, D. J. (2010). Novel Candidate Cancer Genes Identified by a Large-Scale Cross-Species Comparative Oncogenomics Approach. Cancer Research, 70(3), 883-895. https://doi.org/10.1158/0008-5472.can-09-1737

@article{67d46800a1244f069a4fa876c77b5a4b,

title = "Novel Candidate Cancer Genes Identified by a Large-Scale Cross-Species Comparative Oncogenomics Approach",

abstract = "Abstract Comparative genomic hybridization (CGH) can reveal important disease genes but the large regions identified could sometimes contain hundreds of genes. Here we combine high-resolution CGH analysis of 598 human cancer cell lines with insertion sites isolated from 1,005 mouse tumors induced with the murine leukemia virus (MuLV). This cross-species oncogenomic analysis revealed candidate tumor suppressor genes and oncogenes mutated in both human and mouse tumors, making them strong candidates for novel cancer genes. A significant number of these genes contained binding sites for the stem cell transcription factors Oct4 and Nanog. Notably, mice carrying tumors with insertions in or near stem cell module genes, which are thought to participate in cell self-renewal, died significantly faster than mice without these insertions. A comparison of the profile we identified to that induced with the Sleeping Beauty (SB) transposon system revealed significant differences in the profile of recurrently mutated genes. Collectively, this work provides a rich catalogue of new candidate cancer genes for functional analysis. Cancer Res; 70(3); 883–95",

author = "Jenny Mattison and Jaap Kool and Uren, {Anthony G.} and de, {Ridder J} and Lodewyk Wessels and Jos Jonkers and Bignell, {Graham R.} and Adam Butler and Rust, {Alistair G.} and Markus Brosch and Wilson, {Catherine H.} and van, {der Weyden L} and Largaespada, {David A.} and Stratton, {Michael R.} and Futreal, {P. Andy} and van, {Lohuizen M} and Anton Berns and Collier, {Lara S.} and Tim Hubbard and Adams, {David J.}",

year = "2010",

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doi = "10.1158/0008-5472.can-09-1737",

language = "English",

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Mattison, J, Kool, J, Uren, AG, de, RJ, Wessels, L, Jonkers, J, Bignell, GR, Butler, A, Rust, AG, Brosch, M, Wilson, CH, van, DWL, Largaespada, DA, Stratton, MR, Futreal, PA, van, LM, Berns, A, Collier, LS, Hubbard, T & Adams, DJ 2010, 'Novel Candidate Cancer Genes Identified by a Large-Scale Cross-Species Comparative Oncogenomics Approach', Cancer Research, vol. 70, no. 3, pp. 883-895. https://doi.org/10.1158/0008-5472.can-09-1737

TY - JOUR

T1 - Novel Candidate Cancer Genes Identified by a Large-Scale Cross-Species Comparative Oncogenomics Approach

AU - Mattison, Jenny

AU - Kool, Jaap

AU - Uren, Anthony G.

AU - de, Ridder J

AU - Wessels, Lodewyk

AU - Jonkers, Jos

AU - Bignell, Graham R.

AU - Butler, Adam

AU - Rust, Alistair G.

AU - Brosch, Markus

AU - Wilson, Catherine H.

AU - van, der Weyden L

AU - Largaespada, David A.

AU - Stratton, Michael R.

AU - Futreal, P. Andy

AU - van, Lohuizen M

AU - Berns, Anton

AU - Collier, Lara S.

AU - Hubbard, Tim

AU - Adams, David J.

PY - 2010/2/1

Y1 - 2010/2/1

N2 - Abstract Comparative genomic hybridization (CGH) can reveal important disease genes but the large regions identified could sometimes contain hundreds of genes. Here we combine high-resolution CGH analysis of 598 human cancer cell lines with insertion sites isolated from 1,005 mouse tumors induced with the murine leukemia virus (MuLV). This cross-species oncogenomic analysis revealed candidate tumor suppressor genes and oncogenes mutated in both human and mouse tumors, making them strong candidates for novel cancer genes. A significant number of these genes contained binding sites for the stem cell transcription factors Oct4 and Nanog. Notably, mice carrying tumors with insertions in or near stem cell module genes, which are thought to participate in cell self-renewal, died significantly faster than mice without these insertions. A comparison of the profile we identified to that induced with the Sleeping Beauty (SB) transposon system revealed significant differences in the profile of recurrently mutated genes. Collectively, this work provides a rich catalogue of new candidate cancer genes for functional analysis. Cancer Res; 70(3); 883–95

AB - Abstract Comparative genomic hybridization (CGH) can reveal important disease genes but the large regions identified could sometimes contain hundreds of genes. Here we combine high-resolution CGH analysis of 598 human cancer cell lines with insertion sites isolated from 1,005 mouse tumors induced with the murine leukemia virus (MuLV). This cross-species oncogenomic analysis revealed candidate tumor suppressor genes and oncogenes mutated in both human and mouse tumors, making them strong candidates for novel cancer genes. A significant number of these genes contained binding sites for the stem cell transcription factors Oct4 and Nanog. Notably, mice carrying tumors with insertions in or near stem cell module genes, which are thought to participate in cell self-renewal, died significantly faster than mice without these insertions. A comparison of the profile we identified to that induced with the Sleeping Beauty (SB) transposon system revealed significant differences in the profile of recurrently mutated genes. Collectively, this work provides a rich catalogue of new candidate cancer genes for functional analysis. Cancer Res; 70(3); 883–95

U2 - 10.1158/0008-5472.can-09-1737

DO - 10.1158/0008-5472.can-09-1737

M3 - Article

SN - 0008-5472

VL - 70

SP - 883

EP - 895

JO - Cancer Research

JF - Cancer Research

IS - 3

ER -

Novel Candidate Cancer Genes Identified by a Large-Scale Cross-Species Comparative Oncogenomics Approach

Abstract

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