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      Distinguishing between cancer driver and passenger gene alteration candidates via cross-species comparison: a pilot study

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          Abstract

          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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          Most cited references43

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          Patterns of somatic mutation in human cancer genomes.

          Cancers arise owing to mutations in a subset of genes that confer growth advantage. The availability of the human genome sequence led us to propose that systematic resequencing of cancer genomes for mutations would lead to the discovery of many additional cancer genes. Here we report more than 1,000 somatic mutations found in 274 megabases (Mb) of DNA corresponding to the coding exons of 518 protein kinase genes in 210 diverse human cancers. There was substantial variation in the number and pattern of mutations in individual cancers reflecting different exposures, DNA repair defects and cellular origins. Most somatic mutations are likely to be 'passengers' that do not contribute to oncogenesis. However, there was evidence for 'driver' mutations contributing to the development of the cancers studied in approximately 120 genes. Systematic sequencing of cancer genomes therefore reveals the evolutionary diversity of cancers and implicates a larger repertoire of cancer genes than previously anticipated.
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            Lessons from hereditary colorectal cancer.

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              Assessing the significance of chromosomal aberrations in cancer: methodology and application to glioma.

              Comprehensive knowledge of the genomic alterations that underlie cancer is a critical foundation for diagnostics, prognostics, and targeted therapeutics. Systematic efforts to analyze cancer genomes are underway, but the analysis is hampered by the lack of a statistical framework to distinguish meaningful events from random background aberrations. Here we describe a systematic method, called Genomic Identification of Significant Targets in Cancer (GISTIC), designed for analyzing chromosomal aberrations in cancer. We use it to study chromosomal aberrations in 141 gliomas and compare the results with two prior studies. Traditional methods highlight hundreds of altered regions with little concordance between studies. The new approach reveals a highly concordant picture involving approximately 35 significant events, including 16-18 broad events near chromosome-arm size and 16-21 focal events. Approximately half of these events correspond to known cancer-related genes, only some of which have been previously tied to glioma. We also show that superimposed broad and focal events may have different biological consequences. Specifically, gliomas with broad amplification of chromosome 7 have properties different from those with overlapping focalEGFR amplification: the broad events act in part through effects on MET and its ligand HGF and correlate with MET dependence in vitro. Our results support the feasibility and utility of systematic characterization of the cancer genome.
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                Author and article information

                Journal
                BMC Cancer
                BMC Cancer
                BioMed Central
                1471-2407
                2010
                13 August 2010
                : 10
                : 426
                Affiliations
                [1 ]Department of Biochemistry and Molecular Biology, Institute of Bioinformatics, University of Georgia, Athens 30602, GA, USA
                [2 ]McArdle Laboratory for Cancer Research, University of Wisconsin Madison, WI 53703, USA
                [3 ]J. Craig Venter Institute, Rockville, MD 20850, USA
                [4 ]Center for Colon Cancer Research, University of South Carolina, Columbia, SC 29208, USA
                [5 ]Departments of Surgery, Pathology, and Biostatistics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
                Article
                1471-2407-10-426
                10.1186/1471-2407-10-426
                2927548
                20707908
                a2320258-25be-418f-95f3-b28ce10e4f65
                Copyright ©2010 Ji et al; licensee BioMed Central Ltd.

                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.

                History
                : 31 August 2009
                : 13 August 2010
                Categories
                Research Article

                Oncology & Radiotherapy
                Oncology & Radiotherapy

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