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  • 1
    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
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  • 2
    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
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