The development of human cancer is complex process involving the acquisition of multiple genetic changes that confer a selective advantage on a tumor clone. Many of the genes involved in these genetic changes have been identified based on mutation in cancer in model organisms, inheritance in a mutant form in cancer- prone families, or presence at recurrent translocation breakpoints. However, a very large number of chromosome abnormalities have been detected for which no corresponding molecular explanation has been provided at the level of individual genes. This includes a very large class of unbalanced chromosomal abnormalities in which there is a net loss or gain of genetic material. Such unbalanced chromosomal abnormalities are especially common in solid tumors. A molecular explanation of these changes is highly desirable for breakthroughs in our understanding of the cancer process and for identification of novel targets for therapeutic exploration. Many strategies for understanding the complex genetic picture presented by the recurrent unbalanced chromosome abnormalities in human cancer have been proposed, including array- based comparative genome hybridization, and microarray-based expression studies. We plan to use a functional approach. We have utilized the Sleeping Beauty (SB) transposable element for forward genetic screens for cancer in mice. This project will be extended upon and be used in new unbiased screens to define genetic changes that can cause cancer and create useful in vivo models for future studies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA113636-03
Application #
7324092
Study Section
Cancer Genetics Study Section (CG)
Program Officer
Mietz, Judy
Project Start
2006-01-31
Project End
2010-11-30
Budget Start
2007-12-01
Budget End
2008-11-30
Support Year
3
Fiscal Year
2008
Total Cost
$257,668
Indirect Cost
Name
University of Minnesota Twin Cities
Department
Genetics
Type
Schools of Medicine
DUNS #
555917996
City
Minneapolis
State
MN
Country
United States
Zip Code
55455
Scott, Milcah C; Temiz, Nuri A; Sarver, Anne E et al. (2018) Comparative Transcriptome Analysis Quantifies Immune Cell Transcript Levels, Metastatic Progression, and Survival in Osteosarcoma. Cancer Res 78:326-337
Riordan, Jesse D; Feddersen, Charlotte R; Tschida, Barbara R et al. (2018) Chronic liver injury alters driver mutation profiles in hepatocellular carcinoma in mice. Hepatology 67:924-939
Kawakami, Koichi; Largaespada, David A; Ivics, Zoltán (2017) Transposons As Tools for Functional Genomics in Vertebrate Models. Trends Genet 33:784-801
Tschida, Barbara R; Temiz, Nuri A; Kuka, Timothy P et al. (2017) Sleeping Beauty Insertional Mutagenesis in Mice Identifies Drivers of Steatosis-Associated Hepatic Tumors. Cancer Res 77:6576-6588
Shu, Jingmin; Li, Lihua; Sarver, Anne E et al. (2016) Imprinting defects at human 14q32 locus alters gene expression and is associated with the pathobiology of osteosarcoma. Oncotarget 7:21298-314
Morrissy, A Sorana; Garzia, Livia; Shih, David J H et al. (2016) Divergent clonal selection dominates medulloblastoma at recurrence. Nature 529:351-7
Heltemes-Harris, L M; Larson, J D; Starr, T K et al. (2016) Sleeping Beauty transposon screen identifies signaling modules that cooperate with STAT5 activation to induce B-cell acute lymphoblastic leukemia. Oncogene 35:3454-64
Marko, Tracy A; Shamsan, Ghaidan A; Edwards, Elizabeth N et al. (2016) Slit-Robo GTPase-Activating Protein 2 as a metastasis suppressor in osteosarcoma. Sci Rep 6:39059
Temiz, Nuri A; Moriarity, Branden S; Wolf, Natalie K et al. (2016) RNA sequencing of Sleeping Beauty transposon-induced tumors detects transposon-RNA fusions in forward genetic cancer screens. Genome Res 26:119-29
Wu, Jianqiang; Keng, Vincent W; Patmore, Deanna M et al. (2016) Insertional Mutagenesis Identifies a STAT3/Arid1b/?-catenin Pathway Driving Neurofibroma Initiation. Cell Rep 14:1979-90

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