Identification and Characterization of Genes that Suppress BCR-ABL+ Leukemia
Identification and Characterization of Genes that Suppress BCR-ABL+ Leukemia
批准号:
8578767
负责人:
MICHAEL R GREEN
金额:
$34.55万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-11 至 2018-06-30
关键词:
Acute Lymphocytic LeukemiaAdult Acute Lymphocytic LeukemiaAffectBRAF geneBiological AssayCBFB geneCDKN2A geneCancer EtiologyCell Culture TechniquesCell ProliferationCellsChimeric ProteinsChromosome abnormalityChromosomesChromosomes, Human, Pair 9Chronic Myeloid LeukemiaCultured CellsDasatinibDevelopmentDisease ProgressionDrug resistanceDrug usageEpigenetic ProcessFibroblastsGene SilencingGenerationsGenesGeneticGoalsHematopoieticHumanImatinibIn VitroMYH11 geneMediatingModelingMusMutationMyeloid Progenitor CellsNeoplastic Cell TransformationOncogenesOncogenicPathway interactionsPatientsPhosphotransferasesPlayRB1 geneRNA InterferenceRUNX1 geneRegulatory PathwayResistanceResistance developmentRiskRoleSeriesSolid NeoplasmSuppressor GenesTP53 geneTestingTherapeutic InterventionTumor Suppressor GenesTumor Suppressor ProteinsTyrosine Kinase Inhibitorbasebcr-abl Fusion Proteinsfusion geneimprovedinhibitor/antagonistinsightleukemialeukemogenesisloss of functionmouse modelpreventprogenitorpublic health relevanceresearch studyresistance mechanismresponsesenescencesmall hairpin RNAtumorigenesis
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Certain oncogenes that promote solid tumors, such as RAS and BRAF, induce senescence when expressed in primary cells. Oncogene-induced senescence plays an important role in suppressing tumorigenesis by preventing proliferation of cells at risk for neoplastic transformation. Thus, in many instances, genes involved in oncogene-induced senescence, such as TP53 and RB1, are also tumor suppressors. BCR-ABL is an oncogenic kinase derived from the translocation between chromosomes 9 and 22 that can transform myeloid progenitor cells and drives the development of the vast majority chronic myeloid leukemia (CML) cases and 20%-30% of adult acute lymphoblastic leukemia (ALL) cases. We have recently found that BCR-ABL, as well as two other leukemogenic fusion-proteins, CBFB-MYH11 and RUNX1-ETO, can, like RAS and BRAF, induce senescence in primary human fibroblasts and hematopoietic progenitors. Our results imply that the development of BCR-ABL+ leukemias involves genetic and/or epigenetic alterations that inactivate one or more senescence-promoting genes. Consistent with this hypothesis, inactivation of genes known to promote senescence, such as TP53 and CDKN2A (p16INK4a/p14ARF), can cooperate with BCR-ABL in mouse models of CML, and CDKN2A deletions are frequently found in patients with BCR-ABL+ ALL. Significantly, these same genetic alterations can also confer resistance to imatinib, an inhibitor of BCR-ABL kinase activity that is
the first-line treatment for CML. Thus, delineating the genes and regulatory pathways by which BCR-ABL induces senescence in primary cells will help identify genetic alterations that cooperate with BCR-ABL to promote leukemogenesis and are responsible for the emergence of imatinib resistance. Toward this long-term objective, we have carried out a large-scale RNA interference screen to identify genes whose knockdown enables primary cells to overcome BCR-ABL-induced senescence. These genes represent candidate suppressors of BCR-ABL+ leukemias. In this application, we propose experiments involving both cultured cells and mouse models of CML and ALL to determine the role of these candidates in suppression of BCR-ABL+ leukemias. The confirmed leukemia suppressor genes will be further studied to gain insights into how they promote senescence and to identify the regulatory pathways in which they function. Finally, confirmed leukemia suppressor genes will be tested for a role in the development of resistance to imatinib as well as dasatinib, the major second-generation tyrosine kinase inhibitor. The results of these experiments will improve our understanding of BCR-ABL+ leukemia development, reveal potential new targets for therapeutic intervention, and help predict patient responsiveness to treatment.
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