Identifying determinants of chemotherapeutic response in vivo
Identifying determinants of chemotherapeutic response in vivo
批准号:
7899825
负责人:
Michael Hemann
金额:
$28.24万
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-26 至 2012-07-31
关键词:
AllelesAntineoplastic AgentsApoptosisApoptoticB-Cell LymphomasCancer ModelCell DeathCellsChemotherapy-Oncologic ProcedureClinicalDevelopmentDoxorubicinDrug Delivery SystemsDrug resistanceEtiologyFailureFamilyFamily memberGenesGeneticHeterogeneityHumanIn VitroLesionLymphomaLymphomagenesisMalignant NeoplasmsMediatingMediator of activation proteinMethodologyMusMutationNeoplasm TransplantationOncogenesOrganPathway interactionsPharmaceutical PreparationsPhenotypePoly(ADP-ribose) PolymerasesProteinsRNA InterferenceRegimenRelapseRelative (related person)Research PersonnelResistanceResistance developmentRoleScreening procedureSignal TransductionStem cellsSystemTechnologyTumor SuppressionTumor Suppressor GenesWorkbasecancer cellcancer therapychemotherapygene functionin vivoinhibitor/antagonistinsightinterestkillingsloss of functionmalignant breast neoplasmmouse modelneoplastic cellnew therapeutic targetnovelprogramsreconstitutionresearch studyresponsesuccesstherapy resistanttooltumor
中文摘要
描述(由申请人提供):许多人类癌症对化疗无效,最初有反应的癌症经常获得耐药性和复发。虽然这些抗癌疗法中的大多数已经在临床上使用了几十年,但人们对促进耐药性的遗传变化知之甚少。因此,目前的癌症治疗方法在没有明确了解哪些肿瘤会对哪些药物产生反应的情况下应用。我们建议使用RNA干扰(RNAi)技术与小鼠干细胞和肿瘤移植系统相结合,研究化疗耐药的遗传基础。我们的目标是使用这些易处理的小鼠模型来确定新的癌症药物靶点,以及针对特定恶性肿瘤的脆弱性定制现有癌症疗法的策略。我们将使用靶向和无偏倚的方法来确定决定B细胞淋巴瘤对公认的遗传毒性化疗药物反应的基因和遗传途径。最初,我们将集中在促凋亡介质的BH 3-唯一的家庭,以检查这些蛋白质在肿瘤发展与化疗反应的相对作用。随后,我们将使用RNAi筛选方法来检查数千个癌症相关基因在化疗反应中的作用。最后,我们将针对已建立的肿瘤生存途径,以确定基因,当失活,敏感性化疗耐药淋巴瘤常规化疗药物。我们希望我们的研究能够确定最终决定给定化疗成功或失败的关键节点和途径。
英文摘要
DESCRIPTION (provided by applicant): Many human cancers fail to respond to chemotherapy, and cancers that initially respond frequently acquire drug resistance and relapse. While most of these anti-cancer therapies have been in clinical use for decades, very little is known about the genetic changes that promote drug resistance. As a result, current cancer treatments are applied without a clear understanding of which tumors will respond to which drugs. We propose to use RNA interference (RNAi) technologies in combination with murine stem cell and tumor transplantation systems to investigate the genetic basis for chemotherapeutic resistance. Our aim is to use these tractable mouse models to identify novel cancer drug targets, as well as strategies for tailoring existing cancer therapies to target the vulnerabilities of specific malignancies. We will use both targeted and unbiased approach to identify genes and genetic pathways that dictate the response of B cell lymphomas to well-established genotoxic chemotherapeutics. Initially, we will focus on the BH3-only family of pro-apoptotic mediators to examine the relative role of these proteins in tumor development versus chemotherapeutic response. Subsequently, we will use RNAi screening methodology to examine the role of thousands of cancer-relevant genes in the response to chemotherapy. Finally, we will target established tumor survival pathways to identify genes that, when inactivated, sensitize chemoresistant lymphomas to conventional chemotherapeutics. We expect our studies to identify critical nodes and pathways that ultimately determine the success or failure of a given chemotherapeutic.
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依托单位:
Applied Therapeutics & Whole Animal Imaging
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Genomics
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资助金额:$11.39万
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依托单位:
Applied Therapeutics & Whole Animal Imaging
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项目类别:
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资助金额:$4.4万
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依托单位:
Applied Therapeutics & Whole Animal Imaging
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资助金额:$4.54万
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Genomics
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资助金额:$11.39万
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依托单位:
Genomics
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批准号:9149834
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项目类别:
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资助金额:$11.39万
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财政年份:--
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负责人:Michael Hemann
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依托单位:
海外基金