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  • 1
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    Molecular classification of cancer: class discovery and class prediction by gene expression monitoring (1999)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 1999-10-16
    Description: Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or for assigning tumors to known classes (class prediction). Here, a generic approach to cancer classification based on gene expression monitoring by DNA microarrays is described and applied to human acute leukemias as a test case. A class discovery procedure automatically discovered the distinction between acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) without previous knowledge of these classes. An automatically derived class predictor was able to determine the class of new leukemia cases. The results demonstrate the feasibility of cancer classification based solely on gene expression monitoring and suggest a general strategy for discovering and predicting cancer classes for other types of cancer, independent of previous biological knowledge.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Golub, T R -- Slonim, D K -- Tamayo, P -- Huard, C -- Gaasenbeek, M -- Mesirov, J P -- Coller, H -- Loh, M L -- Downing, J R -- Caligiuri, M A -- Bloomfield, C D -- Lander, E S -- New York, N.Y. -- Science. 1999 Oct 15;286(5439):531-7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Whitehead Institute/Massachusetts Institute of Technology Center for Genome Research, Cambridge, MA 02139, USA. golub@genome.wi.mit.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/10521349" target="_blank"〉PubMed〈/a〉
    Keywords: Acute Disease ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use ; Cell Adhesion/genetics ; Cell Cycle/genetics ; *Gene Expression Profiling ; Homeodomain Proteins/genetics ; Humans ; Leukemia, Myeloid/*classification/drug therapy/*genetics ; Neoplasm Proteins/genetics ; Neoplasms/classification/genetics ; Oligonucleotide Array Sequence Analysis ; Oncogenes ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/*classification/drug ; therapy/*genetics ; Predictive Value of Tests ; Reproducibility of Results ; Treatment Outcome
    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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  • 2
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    Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1 (2009)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2009-10-23
    Description: The proto-oncogene KRAS is mutated in a wide array of human cancers, most of which are aggressive and respond poorly to standard therapies. Although the identification of specific oncogenes has led to the development of clinically effective, molecularly targeted therapies in some cases, KRAS has remained refractory to this approach. A complementary strategy for targeting KRAS is to identify gene products that, when inhibited, result in cell death only in the presence of an oncogenic allele. Here we have used systematic RNA interference to detect synthetic lethal partners of oncogenic KRAS and found that the non-canonical IkappaB kinase TBK1 was selectively essential in cells that contain mutant KRAS. Suppression of TBK1 induced apoptosis specifically in human cancer cell lines that depend on oncogenic KRAS expression. In these cells, TBK1 activated NF-kappaB anti-apoptotic signals involving c-Rel and BCL-XL (also known as BCL2L1) that were essential for survival, providing mechanistic insights into this synthetic lethal interaction. These observations indicate that TBK1 and NF-kappaB signalling are essential in KRAS mutant tumours, and establish a general approach for the rational identification of co-dependent pathways in cancer.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2783335/" 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/PMC2783335/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Barbie, David A -- Tamayo, Pablo -- Boehm, Jesse S -- Kim, So Young -- Moody, Susan E -- Dunn, Ian F -- Schinzel, Anna C -- Sandy, Peter -- Meylan, Etienne -- Scholl, Claudia -- Frohling, Stefan -- Chan, Edmond M -- Sos, Martin L -- Michel, Kathrin -- Mermel, Craig -- Silver, Serena J -- Weir, Barbara A -- Reiling, Jan H -- Sheng, Qing -- Gupta, Piyush B -- Wadlow, Raymond C -- Le, Hanh -- Hoersch, Sebastian -- Wittner, Ben S -- Ramaswamy, Sridhar -- Livingston, David M -- Sabatini, David M -- Meyerson, Matthew -- Thomas, Roman K -- Lander, Eric S -- Mesirov, Jill P -- Root, David E -- Gilliland, D Gary -- Jacks, Tyler -- Hahn, William C -- R01 CA129105/CA/NCI NIH HHS/ -- R01 CA129105-03/CA/NCI NIH HHS/ -- R01 CA130988/CA/NCI NIH HHS/ -- R01 CA130988-01A2/CA/NCI NIH HHS/ -- R33 CA128625/CA/NCI NIH HHS/ -- R33 CA128625-01A1/CA/NCI NIH HHS/ -- R33 CA128625-02/CA/NCI NIH HHS/ -- T32 CA009172/CA/NCI NIH HHS/ -- T32 CA09172-33/CA/NCI NIH HHS/ -- T32 GM007753/GM/NIGMS NIH HHS/ -- England -- Nature. 2009 Nov 5;462(7269):108-12. doi: 10.1038/nature08460. Epub 2009 Oct 21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Medical Oncology, Dana-Farber Cancer Institute, 44 Binney Street, Boston, Massachusetts 02115 USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19847166" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Apoptosis ; Cell Line, Tumor ; Cell Survival ; Gene Expression Profiling ; Genes, Lethal ; Genes, ras/*genetics ; Humans ; Lung Neoplasms/genetics/metabolism/pathology ; Neoplasms/genetics/metabolism/pathology ; Oncogene Protein p21(ras)/*genetics/*metabolism ; Protein-Serine-Threonine Kinases/antagonists & inhibitors/*metabolism ; Proto-Oncogene Proteins c-rel/metabolism ; *RNA Interference ; Signal Transduction ; bcl-X Protein/metabolism
    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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  • 3
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    Comment on "The consensus coding sequences of human breast and colorectal cancers" (2007)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2007-09-18
    Description: Sjoblom et al. (Research Article, 13 October 2006, p. 268) reported nearly 200 novel cancer genes said to have a 90% probability of being involved in colon or breast cancer. However, their analysis raises two statistical concerns. When these concerns are addressed, few genes with significantly elevated mutation rates remain. Although the biological methodology in Sjoblom et al. is sound, more samples are needed to achieve sufficient power.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Getz, Gad -- Hofling, Holger -- Mesirov, Jill P -- Golub, Todd R -- Meyerson, Matthew -- Tibshirani, Robert -- Lander, Eric S -- New York, N.Y. -- Science. 2007 Sep 14;317(5844):1500.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA. gadgetz@broad.mit.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17872428" target="_blank"〉PubMed〈/a〉
    Keywords: Breast Neoplasms/*genetics ; Colorectal Neoplasms/*genetics ; *Consensus Sequence ; Female ; *Genes, Neoplasm ; Genome, Human ; Humans ; Male ; *Mutation ; Probability
    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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  • 4
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    Computer science. Accessible reproducible research (2010)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2010-01-23
    Description: 〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3878063/" 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/PMC3878063/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mesirov, Jill P -- R01 GM074024/GM/NIGMS NIH HHS/ -- R01 GM074024-08/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2010 Jan 22;327(5964):415-6. doi: 10.1126/science.1179653.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA. mesirov@broad.mit.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20093459" target="_blank"〉PubMed〈/a〉
    Keywords: Access to Information ; Computational Biology/*methods ; *Computing Methodologies ; Genomics/*methods ; Informatics/methods ; Internet ; *Publishing ; Reproducibility of Results ; *Research ; *Software
    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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  • 5
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    The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity (2012)
    Nature Publishing Group (NPG)
    Details
    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
    Published by Nature Publishing Group (NPG)
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  • 6
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    Medulloblastoma exome sequencing uncovers subtype-specific somatic mutations (2012)
    Nature Publishing Group (NPG)
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    Publication Date: 2012-07-24
    Description: Medulloblastomas are the most common malignant brain tumours in children. Identifying and understanding the genetic events that drive these tumours is critical for the development of more effective diagnostic, prognostic and therapeutic strategies. Recently, our group and others described distinct molecular subtypes of medulloblastoma on the basis of transcriptional and copy number profiles. Here we use whole-exome hybrid capture and deep sequencing to identify somatic mutations across the coding regions of 92 primary medulloblastoma/normal pairs. Overall, medulloblastomas have low mutation rates consistent with other paediatric tumours, with a median of 0.35 non-silent mutations per megabase. We identified twelve genes mutated at statistically significant frequencies, including previously known mutated genes in medulloblastoma such as CTNNB1, PTCH1, MLL2, SMARCA4 and TP53. Recurrent somatic mutations were newly identified in an RNA helicase gene, DDX3X, often concurrent with CTNNB1 mutations, and in the nuclear co-repressor (N-CoR) complex genes GPS2, BCOR and LDB1. We show that mutant DDX3X potentiates transactivation of a TCF promoter and enhances cell viability in combination with mutant, but not wild-type, beta-catenin. Together, our study reveals the alteration of WNT, hedgehog, histone methyltransferase and now N-CoR pathways across medulloblastomas and within specific subtypes of this disease, and nominates the RNA helicase DDX3X as a component of pathogenic beta-catenin signalling in medulloblastoma.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3413789/" 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/PMC3413789/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Pugh, Trevor J -- Weeraratne, Shyamal Dilhan -- Archer, Tenley C -- Pomeranz Krummel, Daniel A -- Auclair, Daniel -- Bochicchio, James -- Carneiro, Mauricio O -- Carter, Scott L -- Cibulskis, Kristian -- Erlich, Rachel L -- Greulich, Heidi -- Lawrence, Michael S -- Lennon, Niall J -- McKenna, Aaron -- Meldrim, James -- Ramos, Alex H -- Ross, Michael G -- Russ, Carsten -- Shefler, Erica -- Sivachenko, Andrey -- Sogoloff, Brian -- Stojanov, Petar -- Tamayo, Pablo -- Mesirov, Jill P -- Amani, Vladimir -- Teider, Natalia -- Sengupta, Soma -- Francois, Jessica Pierre -- Northcott, Paul A -- Taylor, Michael D -- Yu, Furong -- Crabtree, Gerald R -- Kautzman, Amanda G -- Gabriel, Stacey B -- Getz, Gad -- Jager, Natalie -- Jones, David T W -- Lichter, Peter -- Pfister, Stefan M -- Roberts, Thomas M -- Meyerson, Matthew -- Pomeroy, Scott L -- Cho, Yoon-Jae -- CA050661/CA/NCI NIH HHS/ -- L40 NS063706/NS/NINDS NIH HHS/ -- P30 HD018655/HD/NICHD NIH HHS/ -- P30 HD18655/HD/NICHD NIH HHS/ -- R01 CA030002/CA/NCI NIH HHS/ -- R01 CA105607/CA/NCI NIH HHS/ -- R01 CA109467/CA/NCI NIH HHS/ -- R01 CA148699/CA/NCI NIH HHS/ -- R01 CA154480/CA/NCI NIH HHS/ -- R01 NS046789/NS/NINDS NIH HHS/ -- R01CA105607/CA/NCI NIH HHS/ -- R01CA109467/CA/NCI NIH HHS/ -- R01CA148699/CA/NCI NIH HHS/ -- R25 NS070682/NS/NINDS NIH HHS/ -- R25NS070682/NS/NINDS NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- U54HG003067/HG/NHGRI NIH HHS/ -- Canadian Institutes of Health Research/Canada -- Howard Hughes Medical Institute/ -- England -- Nature. 2012 Aug 2;488(7409):106-10. doi: 10.1038/nature11329.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉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/22820256" target="_blank"〉PubMed〈/a〉
    Keywords: Cerebellar Neoplasms/classification/*genetics ; Child ; DEAD-box RNA Helicases/chemistry/genetics/metabolism ; DNA Helicases/chemistry/genetics ; DNA-Binding Proteins/genetics ; Exome/*genetics ; Genome, Human/*genetics ; Hedgehog Proteins/metabolism ; Histone-Lysine N-Methyltransferase/genetics/metabolism ; Humans ; Intracellular Signaling Peptides and Proteins/genetics ; LIM Domain Proteins/genetics ; Medulloblastoma/classification/*genetics ; Models, Molecular ; Mutation/*genetics ; Neoplasm Proteins/genetics ; Nuclear Proteins/chemistry/genetics ; Promoter Regions, Genetic/genetics ; Protein Structure, Tertiary/genetics ; Proto-Oncogene Proteins/genetics ; Receptors, Cell Surface/genetics ; Repressor Proteins/genetics ; Signal Transduction ; TCF Transcription Factors/metabolism ; Transcription Factors/chemistry/genetics ; Tumor Suppressor Protein p53/genetics ; Wnt Proteins/metabolism ; beta Catenin/genetics/metabolism
    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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  • 7
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    Criteria for the use of omics-based predictors in clinical trials (2013)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2013-10-18
    Description: The US National Cancer Institute (NCI), in collaboration with scientists representing multiple areas of expertise relevant to 'omics'-based test development, has developed a checklist of criteria that can be used to determine the readiness of omics-based tests for guiding patient care in clinical trials. The checklist criteria cover issues relating to specimens, assays, mathematical modelling, clinical trial design, and ethical, legal and regulatory aspects. Funding bodies and journals are encouraged to consider the checklist, which they may find useful for assessing study quality and evidence strength. The checklist will be used to evaluate proposals for NCI-sponsored clinical trials in which omics tests will be used to guide therapy.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4180668/" 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/PMC4180668/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉McShane, Lisa M -- Cavenagh, Margaret M -- Lively, Tracy G -- Eberhard, David A -- Bigbee, William L -- Williams, P Mickey -- Mesirov, Jill P -- Polley, Mei-Yin C -- Kim, Kelly Y -- Tricoli, James V -- Taylor, Jeremy M G -- Shuman, Deborah J -- Simon, Richard M -- Doroshow, James H -- Conley, Barbara A -- P30 CA046592/CA/NCI NIH HHS/ -- R01 CA129102/CA/NCI NIH HHS/ -- Z99 CA999999/Intramural NIH HHS/ -- England -- Nature. 2013 Oct 17;502(7471):317-20. doi: 10.1038/nature12564.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA. mcshanel@ctep.nci.nih.gov〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24132288" target="_blank"〉PubMed〈/a〉
    Keywords: Checklist ; Clinical Trials as Topic/economics/ethics/*methods/standards ; Evaluation Studies as Topic ; *Genomics/ethics ; Humans ; Models, Biological ; National Cancer Institute (U.S.)/economics ; Precision Medicine/ethics/methods/standards ; *Research Design/standards ; Specimen Handling ; United States
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 8
    Electronic Resource
    Electronic Resource
    Distinct physiological states of Plasmodium falciparum in malaria-infected patients (2007)
    [s.l.] : Nature Publishing Group
    Nature 450 (2007), S. 1091-1095 
    Details
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Infection with the malaria parasite Plasmodium falciparum leads to widely different clinical conditions in children, ranging from mild flu-like symptoms to coma and death. Despite the immense medical implications, the genetic and molecular basis of this diversity remains largely unknown. ...
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1038/nature06311
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  • 9
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    Metagene projection for cross-platform, cross-species characterization of global transcriptional states (2007)
    National Academy of Sciences
    Details
    Publication Date: 2007-03-27
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 10
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    Automated high-dimensional flow cytometric data analysis (2009)
    National Academy of Sciences
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    Publication Date: 2009-05-14
    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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