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  • 1
    Publication Date: 2014-01-07
    Description: Although a few cancer genes are mutated in a high proportion of tumours of a given type (〉20%), most are mutated at intermediate frequencies (2-20%). To explore the feasibility of creating a comprehensive catalogue of cancer genes, we analysed somatic point mutations in exome sequences from 4,742 human cancers and their matched normal-tissue samples across 21 cancer types. We found that large-scale genomic analysis can identify nearly all known cancer genes in these tumour types. Our analysis also identified 33 genes that were not previously known to be significantly mutated in cancer, including genes related to proliferation, apoptosis, genome stability, chromatin regulation, immune evasion, RNA processing and protein homeostasis. Down-sampling analysis indicates that larger sample sizes will reveal many more genes mutated at clinically important frequencies. We estimate that near-saturation may be achieved with 600-5,000 samples per tumour type, depending on background mutation frequency. The results may help to guide the next stage of cancer genomics.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4048962/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4048962/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lawrence, Michael S -- Stojanov, Petar -- Mermel, Craig H -- Robinson, James T -- Garraway, Levi A -- Golub, Todd R -- Meyerson, Matthew -- Gabriel, Stacey B -- Lander, Eric S -- Getz, Gad -- R01 CA157304/CA/NCI NIH HHS/ -- T32 GM007753/GM/NIGMS NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 Jan 23;505(7484):495-501. doi: 10.1038/nature12912. Epub 2014 Jan 5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA. ; 1] Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA [2] Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, Massachusetts 02215, USA. ; 1] Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA [2] Massachusetts General Hospital, Cancer Center and Department of Pathology, 55 Fruit Street, Boston, Massachusetts 02114, USA. ; 1] Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA [2] Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, Massachusetts 02215, USA [3] Harvard Medical School, 25 Shattuck Street, Boston, Massachusetts 02115, USA. ; 1] Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA [2] Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, Massachusetts 02215, USA [3] Harvard Medical School, 25 Shattuck Street, Boston, Massachusetts 02115, USA [4] Howard Hughes Medical Institute, 4000 Jones Bridge Road, Chevy Chase, Maryland 20815, USA. ; 1] Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA [2] Harvard Medical School, 25 Shattuck Street, Boston, Massachusetts 02115, USA [3] Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA [4]. ; 1] Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA [2] Massachusetts General Hospital, Cancer Center and Department of Pathology, 55 Fruit Street, Boston, Massachusetts 02114, USA [3] Harvard Medical School, 25 Shattuck Street, Boston, Massachusetts 02115, USA [4].〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24390350" target="_blank"〉PubMed〈/a〉
    Keywords: Apoptosis/genetics ; Case-Control Studies ; Cell Proliferation ; Chromatin/genetics ; DNA Mutational Analysis ; Exome/genetics ; Genes, Neoplasm/*genetics ; Genome, Human/genetics ; Genomic Instability/genetics ; Genomics ; Humans ; Immune Evasion/genetics ; Mutation Rate ; Neoplasms/*classification/*genetics/pathology ; Point Mutation/genetics ; RNA Processing, Post-Transcriptional/genetics ; Sample Size
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2013-06-19
    Description: Major international projects are underway that are aimed at creating a comprehensive catalogue of all the genes responsible for the initiation and progression of cancer. These studies involve the sequencing of matched tumour-normal samples followed by mathematical analysis to identify those genes in which mutations occur more frequently than expected by random chance. Here we describe a fundamental problem with cancer genome studies: as the sample size increases, the list of putatively significant genes produced by current analytical methods burgeons into the hundreds. The list includes many implausible genes (such as those encoding olfactory receptors and the muscle protein titin), suggesting extensive false-positive findings that overshadow true driver events. We show that this problem stems largely from mutational heterogeneity and provide a novel analytical methodology, MutSigCV, for resolving the problem. We apply MutSigCV to exome sequences from 3,083 tumour-normal pairs and discover extraordinary variation in mutation frequency and spectrum within cancer types, which sheds light on mutational processes and disease aetiology, and in mutation frequency across the genome, which is strongly correlated with DNA replication timing and also with transcriptional activity. By incorporating mutational heterogeneity into the analyses, MutSigCV is able to eliminate most of the apparent artefactual findings and enable the identification of genes truly associated with cancer.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3919509/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3919509/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lawrence, Michael S -- Stojanov, Petar -- Polak, Paz -- Kryukov, Gregory V -- Cibulskis, Kristian -- Sivachenko, Andrey -- Carter, Scott L -- Stewart, Chip -- Mermel, Craig H -- Roberts, Steven A -- Kiezun, Adam -- Hammerman, Peter S -- McKenna, Aaron -- Drier, Yotam -- Zou, Lihua -- Ramos, Alex H -- Pugh, Trevor J -- Stransky, Nicolas -- Helman, Elena -- Kim, Jaegil -- Sougnez, Carrie -- Ambrogio, Lauren -- Nickerson, Elizabeth -- Shefler, Erica -- Cortes, Maria L -- Auclair, Daniel -- Saksena, Gordon -- Voet, Douglas -- Noble, Michael -- DiCara, Daniel -- Lin, Pei -- Lichtenstein, Lee -- Heiman, David I -- Fennell, Timothy -- Imielinski, Marcin -- Hernandez, Bryan -- Hodis, Eran -- Baca, Sylvan -- Dulak, Austin M -- Lohr, Jens -- Landau, Dan-Avi -- Wu, Catherine J -- Melendez-Zajgla, Jorge -- Hidalgo-Miranda, Alfredo -- Koren, Amnon -- McCarroll, Steven A -- Mora, Jaume -- Lee, Ryan S -- Crompton, Brian -- Onofrio, Robert -- Parkin, Melissa -- Winckler, Wendy -- Ardlie, Kristin -- Gabriel, Stacey B -- Roberts, Charles W M -- Biegel, Jaclyn A -- Stegmaier, Kimberly -- Bass, Adam J -- Garraway, Levi A -- Meyerson, Matthew -- Golub, Todd R -- Gordenin, Dmitry A -- Sunyaev, Shamil -- Lander, Eric S -- Getz, Gad -- ES065073/ES/NIEHS NIH HHS/ -- T32 CA009172/CA/NCI NIH HHS/ -- T32 CA009216/CA/NCI NIH HHS/ -- T32 GM007753/GM/NIGMS NIH HHS/ -- U24 CA143845/CA/NCI NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- Intramural NIH HHS/ -- England -- Nature. 2013 Jul 11;499(7457):214-8. doi: 10.1038/nature12213. Epub 2013 Jun 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02141, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23770567" target="_blank"〉PubMed〈/a〉
    Keywords: Artifacts ; DNA Replication Timing ; Exome/genetics ; False Positive Reactions ; Gene Expression ; *Genetic Heterogeneity ; Genome, Human/genetics ; Humans ; Lung Neoplasms/genetics ; Mutation/*genetics ; Mutation Rate ; Neoplasms/classification/*genetics/pathology ; Neoplasms, Squamous Cell/genetics ; Oncogenes/*genetics ; Reproducibility of Results ; Sample Size
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2012-03-31
    Description: The systematic translation of cancer genomic data into knowledge of tumour biology and therapeutic possibilities remains challenging. Such efforts should be greatly aided by robust preclinical model systems that reflect the genomic diversity of human cancers and for which detailed genetic and pharmacological annotation is available. Here we describe the Cancer Cell Line Encyclopedia (CCLE): a compilation of gene expression, chromosomal copy number and massively parallel sequencing data from 947 human cancer cell lines. When coupled with pharmacological profiles for 24 anticancer drugs across 479 of the cell lines, this collection allowed identification of genetic, lineage, and gene-expression-based predictors of drug sensitivity. In addition to known predictors, we found that plasma cell lineage correlated with sensitivity to IGF1 receptor inhibitors; AHR expression was associated with MEK inhibitor efficacy in NRAS-mutant lines; and SLFN11 expression predicted sensitivity to topoisomerase inhibitors. Together, our results indicate that large, annotated cell-line collections may help to enable preclinical stratification schemata for anticancer agents. The generation of genetic predictions of drug response in the preclinical setting and their incorporation into cancer clinical trial design could speed the emergence of 'personalized' therapeutic regimens.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3320027/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3320027/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Barretina, Jordi -- Caponigro, Giordano -- Stransky, Nicolas -- Venkatesan, Kavitha -- Margolin, Adam A -- Kim, Sungjoon -- Wilson, Christopher J -- Lehar, Joseph -- Kryukov, Gregory V -- Sonkin, Dmitriy -- Reddy, Anupama -- Liu, Manway -- Murray, Lauren -- Berger, Michael F -- Monahan, John E -- Morais, Paula -- Meltzer, Jodi -- Korejwa, Adam -- Jane-Valbuena, Judit -- Mapa, Felipa A -- Thibault, Joseph -- Bric-Furlong, Eva -- Raman, Pichai -- Shipway, Aaron -- Engels, Ingo H -- Cheng, Jill -- Yu, Guoying K -- Yu, Jianjun -- Aspesi, Peter Jr -- de Silva, Melanie -- Jagtap, Kalpana -- Jones, Michael D -- Wang, Li -- Hatton, Charles -- Palescandolo, Emanuele -- Gupta, Supriya -- Mahan, Scott -- Sougnez, Carrie -- Onofrio, Robert C -- Liefeld, Ted -- MacConaill, Laura -- Winckler, Wendy -- Reich, Michael -- Li, Nanxin -- Mesirov, Jill P -- Gabriel, Stacey B -- Getz, Gad -- Ardlie, Kristin -- Chan, Vivien -- Myer, Vic E -- Weber, Barbara L -- Porter, Jeff -- Warmuth, Markus -- Finan, Peter -- Harris, Jennifer L -- Meyerson, Matthew -- Golub, Todd R -- Morrissey, Michael P -- Sellers, William R -- Schlegel, Robert -- Garraway, Levi A -- DP2 OD002750/OD/NIH HHS/ -- DP2 OD002750-01/OD/NIH HHS/ -- R33 CA126674/CA/NCI NIH HHS/ -- R33 CA126674-04/CA/NCI NIH HHS/ -- R33 CA155554/CA/NCI NIH HHS/ -- R33 CA155554-02/CA/NCI NIH HHS/ -- England -- Nature. 2012 Mar 28;483(7391):603-7. doi: 10.1038/nature11003.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22460905" target="_blank"〉PubMed〈/a〉
    Keywords: Antineoplastic Agents/pharmacology ; Cell Line, Tumor ; Cell Lineage ; Chromosomes, Human/genetics ; Clinical Trials as Topic/methods ; *Databases, Factual ; Drug Screening Assays, Antitumor/*methods ; *Encyclopedias as Topic ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genes, ras/genetics ; Genome, Human/genetics ; Genomics ; Humans ; Mitogen-Activated Protein Kinase Kinases/antagonists & inhibitors/metabolism ; *Models, Biological ; Neoplasms/*drug therapy/genetics/metabolism/*pathology ; Pharmacogenetics ; Plasma Cells/cytology/drug effects/metabolism ; Precision Medicine/methods ; Receptor, IGF Type 1/antagonists & inhibitors/metabolism ; Receptors, Aryl Hydrocarbon/genetics/metabolism ; Sequence Analysis, DNA ; Topoisomerase Inhibitors/pharmacology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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