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  • 1
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    COT drives resistance to RAF inhibition through MAP kinase pathway reactivation (2010)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2010-11-26
    Description: Oncogenic mutations in the serine/threonine kinase B-RAF (also known as BRAF) are found in 50-70% of malignant melanomas. Pre-clinical studies have demonstrated that the B-RAF(V600E) mutation predicts a dependency on the mitogen-activated protein kinase (MAPK) signalling cascade in melanoma-an observation that has been validated by the success of RAF and MEK inhibitors in clinical trials. However, clinical responses to targeted anticancer therapeutics are frequently confounded by de novo or acquired resistance. Identification of resistance mechanisms in a manner that elucidates alternative 'druggable' targets may inform effective long-term treatment strategies. Here we expressed approximately 600 kinase and kinase-related open reading frames (ORFs) in parallel to interrogate resistance to a selective RAF kinase inhibitor. We identified MAP3K8 (the gene encoding COT/Tpl2) as a MAPK pathway agonist that drives resistance to RAF inhibition in B-RAF(V600E) cell lines. COT activates ERK primarily through MEK-dependent mechanisms that do not require RAF signalling. Moreover, COT expression is associated with de novo resistance in B-RAF(V600E) cultured cell lines and acquired resistance in melanoma cells and tissue obtained from relapsing patients following treatment with MEK or RAF inhibitors. We further identify combinatorial MAPK pathway inhibition or targeting of COT kinase activity as possible therapeutic strategies for reducing MAPK pathway activation in this setting. Together, these results provide new insights into resistance mechanisms involving the MAPK pathway and articulate an integrative approach through which high-throughput functional screens may inform the development of novel therapeutic strategies.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3058384/" 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/PMC3058384/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Johannessen, Cory M -- Boehm, Jesse S -- Kim, So Young -- Thomas, Sapana R -- Wardwell, Leslie -- Johnson, Laura A -- Emery, Caroline M -- Stransky, Nicolas -- Cogdill, Alexandria P -- Barretina, Jordi -- Caponigro, Giordano -- Hieronymus, Haley -- Murray, Ryan R -- Salehi-Ashtiani, Kourosh -- Hill, David E -- Vidal, Marc -- Zhao, Jean J -- Yang, Xiaoping -- Alkan, Ozan -- Kim, Sungjoon -- Harris, Jennifer L -- Wilson, Christopher J -- Myer, Vic E -- Finan, Peter M -- Root, David E -- Roberts, Thomas M -- Golub, Todd -- Flaherty, Keith T -- Dummer, Reinhard -- Weber, Barbara L -- Sellers, William R -- Schlegel, Robert -- Wargo, Jennifer A -- Hahn, William C -- Garraway, Levi A -- CA134502/CA/NCI NIH HHS/ -- DP2 OD002750/OD/NIH HHS/ -- DP2 OD002750-01/OD/NIH HHS/ -- K08 CA115927/CA/NCI NIH HHS/ -- K08 CA115927-05/CA/NCI NIH HHS/ -- P50 CA093683/CA/NCI NIH HHS/ -- R01 CA134502/CA/NCI NIH HHS/ -- R33 CA128625/CA/NCI NIH HHS/ -- RC2 CA148268/CA/NCI NIH HHS/ -- England -- Nature. 2010 Dec 16;468(7326):968-72. doi: 10.1038/nature09627. Epub 2010 Nov 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of Harvard and Massachusetts Institute of Technology, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21107320" target="_blank"〉PubMed〈/a〉
    Keywords: Allosteric Regulation ; Cell Line, Tumor ; Clinical Trials as Topic ; *Drug Resistance, Neoplasm/drug effects/genetics ; Enzyme Activation/drug effects ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Gene Library ; Humans ; Indoles/pharmacology/therapeutic use ; MAP Kinase Kinase Kinases/genetics/*metabolism ; *MAP Kinase Signaling System ; Melanoma/drug therapy/enzymology/genetics/metabolism ; Mitogen-Activated Protein Kinase Kinases/antagonists & inhibitors/metabolism ; Mitogen-Activated Protein Kinases/*metabolism ; Open Reading Frames/genetics ; Protein Kinase Inhibitors/pharmacology/therapeutic use ; Proto-Oncogene Proteins/genetics/*metabolism ; Proto-Oncogene Proteins B-raf/*antagonists & ; inhibitors/chemistry/genetics/metabolism ; Proto-Oncogene Proteins c-raf/genetics/metabolism ; Sulfonamides/pharmacology/therapeutic use
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 2
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    Sequence analysis of mutations and translocations across breast cancer subtypes (2012)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2012-06-23
    Description: Breast carcinoma is the leading cause of cancer-related mortality in women worldwide, with an estimated 1.38 million new cases and 458,000 deaths in 2008 alone. This malignancy represents a heterogeneous group of tumours with characteristic molecular features, prognosis and responses to available therapy. Recurrent somatic alterations in breast cancer have been described, including mutations and copy number alterations, notably ERBB2 amplifications, the first successful therapy target defined by a genomic aberration. Previous DNA sequencing studies of breast cancer genomes have revealed additional candidate mutations and gene rearrangements. Here we report the whole-exome sequences of DNA from 103 human breast cancers of diverse subtypes from patients in Mexico and Vietnam compared to matched-normal DNA, together with whole-genome sequences of 22 breast cancer/normal pairs. Beyond confirming recurrent somatic mutations in PIK3CA, TP53, AKT1, GATA3 and MAP3K1, we discovered recurrent mutations in the CBFB transcription factor gene and deletions of its partner RUNX1. Furthermore, we have identified a recurrent MAGI3-AKT3 fusion enriched in triple-negative breast cancer lacking oestrogen and progesterone receptors and ERBB2 expression. The MAGI3-AKT3 fusion leads to constitutive activation of AKT kinase, which is abolished by treatment with an ATP-competitive AKT small-molecule inhibitor.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4148686/" 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/PMC4148686/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Banerji, Shantanu -- Cibulskis, Kristian -- Rangel-Escareno, Claudia -- Brown, Kristin K -- Carter, Scott L -- Frederick, Abbie M -- Lawrence, Michael S -- Sivachenko, Andrey Y -- Sougnez, Carrie -- Zou, Lihua -- Cortes, Maria L -- Fernandez-Lopez, Juan C -- Peng, Shouyong -- Ardlie, Kristin G -- Auclair, Daniel -- Bautista-Pina, Veronica -- Duke, Fujiko -- Francis, Joshua -- Jung, Joonil -- Maffuz-Aziz, Antonio -- Onofrio, Robert C -- Parkin, Melissa -- Pho, Nam H -- Quintanar-Jurado, Valeria -- Ramos, Alex H -- Rebollar-Vega, Rosa -- Rodriguez-Cuevas, Sergio -- Romero-Cordoba, Sandra L -- Schumacher, Steven E -- Stransky, Nicolas -- Thompson, Kristin M -- Uribe-Figueroa, Laura -- Baselga, Jose -- Beroukhim, Rameen -- Polyak, Kornelia -- Sgroi, Dennis C -- Richardson, Andrea L -- Jimenez-Sanchez, Gerardo -- Lander, Eric S -- Gabriel, Stacey B -- Garraway, Levi A -- Golub, Todd R -- Melendez-Zajgla, Jorge -- Toker, Alex -- Getz, Gad -- Hidalgo-Miranda, Alfredo -- Meyerson, Matthew -- CA089393/CA/NCI NIH HHS/ -- CA122099/CA/NCI NIH HHS/ -- R01 CA122099/CA/NCI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2012 Jun 20;486(7403):405-9. doi: 10.1038/nature11154.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22722202" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Breast Neoplasms/*classification/*genetics/pathology ; Core Binding Factor Alpha 2 Subunit/genetics ; Core Binding Factor beta Subunit/genetics ; DNA Mutational Analysis ; Exome/genetics ; Female ; Gene Fusion/genetics ; Humans ; Membrane Proteins/genetics ; Mexico ; Mutation/*genetics ; Proto-Oncogene Proteins c-akt/antagonists & inhibitors/genetics/metabolism ; Translocation, Genetic/*genetics ; Vietnam
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
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    Mutational heterogeneity in cancer and the search for new cancer-associated genes (2013)
    Nature Publishing Group (NPG)
    Details
    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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  • 4
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    Functional genomics reveal that the serine synthesis pathway is essential in breast cancer (2011)
    Nature Publishing Group (NPG)
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    Publication Date: 2011-07-16
    Description: Cancer cells adapt their metabolic processes to drive macromolecular biosynthesis for rapid cell growth and proliferation. RNA interference (RNAi)-based loss-of-function screening has proven powerful for the identification of new and interesting cancer targets, and recent studies have used this technology in vivo to identify novel tumour suppressor genes. Here we developed a method for identifying novel cancer targets via negative-selection RNAi screening using a human breast cancer xenograft model at an orthotopic site in the mouse. Using this method, we screened a set of metabolic genes associated with aggressive breast cancer and stemness to identify those required for in vivo tumorigenesis. Among the genes identified, phosphoglycerate dehydrogenase (PHGDH) is in a genomic region of recurrent copy number gain in breast cancer and PHGDH protein levels are elevated in 70% of oestrogen receptor (ER)-negative breast cancers. PHGDH catalyses the first step in the serine biosynthesis pathway, and breast cancer cells with high PHGDH expression have increased serine synthesis flux. Suppression of PHGDH in cell lines with elevated PHGDH expression, but not in those without, causes a strong decrease in cell proliferation and a reduction in serine synthesis. We find that PHGDH suppression does not affect intracellular serine levels, but causes a drop in the levels of alpha-ketoglutarate, another output of the pathway and a tricarboxylic acid (TCA) cycle intermediate. In cells with high PHGDH expression, the serine synthesis pathway contributes approximately 50% of the total anaplerotic flux of glutamine into the TCA cycle. These results reveal that certain breast cancers are dependent upon increased serine pathway flux caused by PHGDH overexpression and demonstrate the utility of in vivo negative-selection RNAi screens for finding potential anticancer targets.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3353325/" 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/PMC3353325/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Possemato, Richard -- Marks, Kevin M -- Shaul, Yoav D -- Pacold, Michael E -- Kim, Dohoon -- Birsoy, Kivanc -- Sethumadhavan, Shalini -- Woo, Hin-Koon -- Jang, Hyun G -- Jha, Abhishek K -- Chen, Walter W -- Barrett, Francesca G -- Stransky, Nicolas -- Tsun, Zhi-Yang -- Cowley, Glenn S -- Barretina, Jordi -- Kalaany, Nada Y -- Hsu, Peggy P -- Ottina, Kathleen -- Chan, Albert M -- Yuan, Bingbing -- Garraway, Levi A -- Root, David E -- Mino-Kenudson, Mari -- Brachtel, Elena F -- Driggers, Edward M -- Sabatini, David M -- CA103866/CA/NCI NIH HHS/ -- R01 CA103866/CA/NCI NIH HHS/ -- R01 CA103866-06A1/CA/NCI NIH HHS/ -- R01 CA103866-07/CA/NCI NIH HHS/ -- R01 CA129105/CA/NCI NIH HHS/ -- R01 CA129105-02/CA/NCI NIH HHS/ -- R01 CA129105-05/CA/NCI NIH HHS/ -- T32 GM007753/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2011 Aug 18;476(7360):346-50. doi: 10.1038/nature10350.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Whitehead Institute for Biomedical Research, Nine Cambridge Center, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21760589" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Biomarkers, Tumor/metabolism ; Breast Neoplasms/enzymology/*genetics/*metabolism/pathology ; Cell Line, Tumor ; Cell Proliferation ; Citric Acid Cycle/physiology ; Gene Expression Regulation, Enzymologic ; Gene Expression Regulation, Neoplastic ; *Genomics ; Glutamic Acid/metabolism ; Humans ; Ketoglutaric Acids/metabolism ; Melanoma/enzymology/genetics ; Mice ; Neoplasm Transplantation ; Phosphoglycerate Dehydrogenase/genetics/metabolism ; RNA Interference ; Serine/*biosynthesis
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 5
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    The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity (2012)
    Nature Publishing Group (NPG)
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    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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  • 6
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    Melanoma genome sequencing reveals frequent PREX2 mutations (2012)
    Nature Publishing Group (NPG)
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    Publication Date: 2012-05-25
    Description: Melanoma is notable for its metastatic propensity, lethality in the advanced setting and association with ultraviolet exposure early in life. To obtain a comprehensive genomic view of melanoma in humans, we sequenced the genomes of 25 metastatic melanomas and matched germline DNA. A wide range of point mutation rates was observed: lowest in melanomas whose primaries arose on non-ultraviolet-exposed hairless skin of the extremities (3 and 14 per megabase (Mb) of genome), intermediate in those originating from hair-bearing skin of the trunk (5-55 per Mb), and highest in a patient with a documented history of chronic sun exposure (111 per Mb). Analysis of whole-genome sequence data identified PREX2 (phosphatidylinositol-3,4,5-trisphosphate-dependent Rac exchange factor 2)--a PTEN-interacting protein and negative regulator of PTEN in breast cancer--as a significantly mutated gene with a mutation frequency of approximately 14% in an independent extension cohort of 107 human melanomas. PREX2 mutations are biologically relevant, as ectopic expression of mutant PREX2 accelerated tumour formation of immortalized human melanocytes in vivo. Thus, whole-genome sequencing of human melanoma tumours revealed genomic evidence of ultraviolet pathogenesis and discovered a new recurrently mutated gene in melanoma.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3367798/" 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/PMC3367798/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Berger, Michael F -- Hodis, Eran -- Heffernan, Timothy P -- Deribe, Yonathan Lissanu -- Lawrence, Michael S -- Protopopov, Alexei -- Ivanova, Elena -- Watson, Ian R -- Nickerson, Elizabeth -- Ghosh, Papia -- Zhang, Hailei -- Zeid, Rhamy -- Ren, Xiaojia -- Cibulskis, Kristian -- Sivachenko, Andrey Y -- Wagle, Nikhil -- Sucker, Antje -- Sougnez, Carrie -- Onofrio, Robert -- Ambrogio, Lauren -- Auclair, Daniel -- Fennell, Timothy -- Carter, Scott L -- Drier, Yotam -- Stojanov, Petar -- Singer, Meredith A -- Voet, Douglas -- Jing, Rui -- Saksena, Gordon -- Barretina, Jordi -- Ramos, Alex H -- Pugh, Trevor J -- Stransky, Nicolas -- Parkin, Melissa -- Winckler, Wendy -- Mahan, Scott -- Ardlie, Kristin -- Baldwin, Jennifer -- Wargo, Jennifer -- Schadendorf, Dirk -- Meyerson, Matthew -- Gabriel, Stacey B -- Golub, Todd R -- Wagner, Stephan N -- Lander, Eric S -- Getz, Gad -- Chin, Lynda -- Garraway, Levi A -- DP2 OD002750/OD/NIH HHS/ -- DP2 OD002750-01/OD/NIH HHS/ -- R33 CA126674/CA/NCI NIH HHS/ -- R33 CA126674-03/CA/NCI NIH HHS/ -- R33 CA126674-04/CA/NCI NIH HHS/ -- R33 CA155554/CA/NCI NIH HHS/ -- R33 CA155554-01/CA/NCI NIH HHS/ -- T32 CA009172/CA/NCI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2012 May 9;485(7399):502-6. doi: 10.1038/nature11071.〈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/22622578" target="_blank"〉PubMed〈/a〉
    Keywords: Chromosome Breakpoints/radiation effects ; DNA Damage ; DNA Mutational Analysis ; Gene Expression Regulation, Neoplastic ; Genome, Human/*genetics ; Guanine Nucleotide Exchange Factors/*genetics/metabolism ; Humans ; Melanocytes/metabolism/pathology ; Melanoma/*genetics/pathology ; Mutagenesis/radiation effects ; Mutation/*genetics/radiation effects ; Oncogenes/genetics ; Sunlight/*adverse effects ; Ultraviolet Rays/adverse effects
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  • 7
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    The mutational landscape of head and neck squamous cell carcinoma (2011)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2011-07-30
    Description: Head and neck squamous cell carcinoma (HNSCC) is a common, morbid, and frequently lethal malignancy. To uncover its mutational spectrum, we analyzed whole-exome sequencing data from 74 tumor-normal pairs. The majority exhibited a mutational profile consistent with tobacco exposure; human papillomavirus was detectable by sequencing DNA from infected tumors. In addition to identifying previously known HNSCC genes (TP53, CDKN2A, PTEN, PIK3CA, and HRAS), our analysis revealed many genes not previously implicated in this malignancy. At least 30% of cases harbored mutations in genes that regulate squamous differentiation (for example, NOTCH1, IRF6, and TP63), implicating its dysregulation as a major driver of HNSCC carcinogenesis. More generally, the results indicate the ability of large-scale sequencing to reveal fundamental tumorigenic mechanisms.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3415217/" 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/PMC3415217/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Stransky, Nicolas -- Egloff, Ann Marie -- Tward, Aaron D -- Kostic, Aleksandar D -- Cibulskis, Kristian -- Sivachenko, Andrey -- Kryukov, Gregory V -- Lawrence, Michael S -- Sougnez, Carrie -- McKenna, Aaron -- Shefler, Erica -- Ramos, Alex H -- Stojanov, Petar -- Carter, Scott L -- Voet, Douglas -- Cortes, Maria L -- Auclair, Daniel -- Berger, Michael F -- Saksena, Gordon -- Guiducci, Candace -- Onofrio, Robert C -- Parkin, Melissa -- Romkes, Marjorie -- Weissfeld, Joel L -- Seethala, Raja R -- Wang, Lin -- Rangel-Escareno, Claudia -- Fernandez-Lopez, Juan Carlos -- Hidalgo-Miranda, Alfredo -- Melendez-Zajgla, Jorge -- Winckler, Wendy -- Ardlie, Kristin -- Gabriel, Stacey B -- Meyerson, Matthew -- Lander, Eric S -- Getz, Gad -- Golub, Todd R -- Garraway, Levi A -- Grandis, Jennifer R -- P50 CA097190/CA/NCI NIH HHS/ -- R01 CA077308/CA/NCI NIH HHS/ -- R01 CA098372/CA/NCI NIH HHS/ -- UL1 TR000005/TR/NCATS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2011 Aug 26;333(6046):1157-60. doi: 10.1126/science.1208130. Epub 2011 Jul 28.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21798893" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Apoptosis ; Carcinoma/*genetics/metabolism/virology ; Carcinoma, Squamous Cell ; Cell Differentiation ; Exons ; Head and Neck Neoplasms/*genetics/metabolism/virology ; Humans ; *Mutation ; Neoplasms, Squamous Cell/*genetics/metabolism/virology ; Papillomaviridae/isolation & purification ; Papillomavirus Infections/virology ; Point Mutation ; Receptor, Notch1/*genetics/metabolism ; *Sequence Analysis, DNA ; Sequence Deletion ; Signal Transduction ; Smoking ; Tobacco
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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    Systematic investigation of genetic vulnerabilities across cancer cell lines reveals lineage-specific dependencies in ovarian cancer (2011)
    National Academy of Sciences
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    Publication Date: 2011-07-11
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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    Discovery and prioritization of somatic mutations in diffuse large B-cell lymphoma (DLBCL) by whole-exome sequencing (2012)
    National Academy of Sciences
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    Publication Date: 2012-02-17
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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    Discovery and prioritization of somatic mutations in diffuse large B-cell lymphoma (DLBCL) by whole-exome sequencing [Genetics] (2012)
    National Academy of Sciences
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    Publication Date: 2012-03-07
    Description: To gain insight into the genomic basis of diffuse large B-cell lymphoma (DLBCL), we performed massively parallel whole-exome sequencing of 55 primary tumor samples from patients with DLBCL and matched normal tissue. We identified recurrent mutations in genes that are well known to be functionally relevant in DLBCL, including MYD88, CARD11, EZH2, and CREBBP. We also identified somatic mutations in genes for which a functional role in DLBCL has not been previously suspected. These genes include MEF2B, MLL2, BTG1, GNA13, ACTB, P2RY8, PCLO, and TNFRSF14. Further, we show that BCL2 mutations commonly occur in patients with BCL2/IgH rearrangements as a result of somatic hypermutation normally occurring at the IgH locus. The BCL2 point mutations are primarily synonymous, and likely caused by activation-induced cytidine deaminase–mediated somatic hypermutation, as shown by comprehensive analysis of enrichment of mutations in WRCY target motifs. Those nonsynonymous mutations that are observed tend to be found outside of the functionally important BH domains of the protein, suggesting that strong negative selection against BCL2 loss-of-function mutations is at play. Last, by using an algorithm designed to identify likely functionally relevant but infrequent mutations, we identify KRAS, BRAF, and NOTCH1 as likely drivers of DLBCL pathogenesis in some patients. Our data provide an unbiased view of the landscape of mutations in DLBCL, and this in turn may point toward new therapeutic strategies for the disease.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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