Polymerase-mediated ultramutagenesis and carcinogenesis in mice
聚合酶介导的小鼠超突变和致癌作用
基本信息
- 批准号:10548853
- 负责人:
- 金额:$ 54.16万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-02-01 至 2025-01-31
- 项目状态:未结题
- 来源:
- 关键词:AccelerationAllelesAmino Acid SubstitutionAnimal Cancer ModelAnimal ModelBacterial Artificial ChromosomesBehaviorBiologyBreedingBypassCancer ModelCarcinomaCell divisionCellsClinicalCommunity Clinical Oncology ProgramCre driverCytotoxic T-LymphocytesDNA Polymerase IIDNA Sequence AlterationDNA biosynthesisDevelopmentEndometrialEndometrial CarcinomaExhibitsFemaleFrequenciesGenerationsGeneticGenetic EngineeringGenetic HeterogeneityGenetic studyGenetically Engineered MouseGenomicsGoalsGrowthHematopoietic NeoplasmsHereditary Nonpolyposis Colorectal NeoplasmsHistologicHousekeepingHumanImmune responseImmunologyIncidenceInflammatoryInheritedInvestigationKRASG12DKnock-inMalignant NeoplasmsMalignant neoplasm of lungMediatingMethodsMismatch RepairMismatch Repair Gene InactivationModelingMonitorMusMutationMutation SpectraNormal CellNoseOncogenicOutcomePhenotypePolymerasePrediction of Response to TherapyProcessPrognosisResearch Project GrantsRoleRouteSignal PathwaySomatic MutationSurvival AnalysisT cell infiltrationT-LymphocyteTissuesTranslational ResearchTumor BiologyVariantanti-PD-L1 therapybasebehavioral responsecarcinogenesiscell growthcell mediated immune responsecheckpoint therapyexomeexperimental studygastrointestinal carcinomagenome editinggenome sequencinghumanized mouseimmunological statusimprovedinterestmouse modelneoantigensnovelpre-clinicalresponsesarcomasuccesstooltranslational cancer researchtranslational modeltreatment responsetumortumor behaviortumor eradicationtumor heterogeneitytumor immunologytumor progressionwhole genome
项目摘要
PROJECT SUMMARY/ABSTRACT
Genetically-engineered mouse models (GEMMs) are essential tools for the study of cancer. However,
there is growing concern that GEMMs fail to recapitulate the mutation burden of human carcinomas. GEMMs
have startlingly low overall mutation rates, far below what is observed in their human counterparts. This makes
such models useful for studies of oncogenic signaling pathways, but greatly restricts their utility for studies of
genetic heterogeneity and clonal variation, tumor immunology, or the impact of mutational load/base
substitution rates on tumor behavior and response to therapy. The latter has become particularly relevant with
the advent of immune checkpoint therapies, given that the best predictor of treatment success is a high
incidence of somatic mutations, irrespective of tumor type. The same limitations are likely to be encountered
with GEMMs based on newer genome-editing methods, pointing to the need for alternative approaches to
optimize with respect to mutational load, which we now know defines so many aspects of tumor biology, clinical
behavior and treatment response.
In this project, submitted in response to PAR-17-245 “Research Projects to Enhance Applicability of
Mammalian Models for Translational Research”, we propose to generate and characterize the first mouse
cancer models based on polymerase-driven ultramutation. These approaches will 1) catalyze modelling of any
cancer driven by POLE ultramutagenesis and 2) permit efficient “humanization” of any GEMM with respect to
mutational load. Our approach represents a new and widely-applicable route to the creation of mouse models
that recapitulate the mutational loads inherent to human cancer. These new genetic tools and the diverse
animal models they will enable will stimulate a wide range of translational and preclinical investigations for
which GEMMs were previously not well-suited, thus fulfilling the goals of PAR-17-245.
项目总结/文摘
项目成果
期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The mismatch recognition protein MutSα promotes nascent strand degradation at stalled replication forks.
- DOI:10.1073/pnas.2201738119
- 发表时间:2022-10-04
- 期刊:
- 影响因子:11.1
- 作者:Zhang, Junqiu;Zhao, Xin;Liu, Lu;Li, Hao-Dong;Gu, Liya;Castrillon, Diego H.;Li, Guo-Min
- 通讯作者:Li, Guo-Min
Endometrial polyps are non-neoplastic but harbor epithelial mutations in endometrial cancer drivers at low allelic frequencies.
- DOI:10.1038/s41379-022-01124-5
- 发表时间:2022-11
- 期刊:
- 影响因子:7.5
- 作者:Sahoo, Subhransu S.;Aguilar, Mitzi;Xu, Yan;Lucas, Elena;Miller, Valerie;Chen, Hao;Zheng, Wenxin;Cuevas, Ileana C.;Li, Hao-Dong;Hitrys, David;Wachsmann, Megan B.;Bishop, Justin A.;Cantarell, Brandi;Gagan, Jeffrey;Koduru, Prasad;SoRelle, Jeffrey A.;Castrillon, Diego H.
- 通讯作者:Castrillon, Diego H.
Histopathologic diagnosis of endometrial precancers: Updates and future directions.
- DOI:10.1053/j.semdp.2021.12.001
- 发表时间:2022-05
- 期刊:
- 影响因子:2.3
- 作者:
- 通讯作者:
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DIEGO H CASTRILLON其他文献
DIEGO H CASTRILLON的其他文献
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{{ truncateString('DIEGO H CASTRILLON', 18)}}的其他基金
Polymerase epsilon-based mouse and derived organoid models of intestinal cancer
基于聚合酶ε的小鼠和衍生的肠癌类器官模型
- 批准号:
10705025 - 财政年份:2022
- 资助金额:
$ 54.16万 - 项目类别:
Polymerase epsilon-based mouse and derived organoid models of intestinal cancer
基于聚合酶ε的小鼠和衍生的肠癌类器官模型
- 批准号:
10339162 - 财政年份:2022
- 资助金额:
$ 54.16万 - 项目类别:
Novel tumorigenic mechanisms of the LKB1 tumor suppressor
LKB1抑癌基因的新致瘤机制
- 批准号:
9893828 - 财政年份:2016
- 资助金额:
$ 54.16万 - 项目类别:
Novel tumorigenic mechanisms of the LKB1 tumor suppressor
LKB1抑癌基因的新致瘤机制
- 批准号:
9101758 - 财政年份:2016
- 资助金额:
$ 54.16万 - 项目类别:
Mouse Models and Translational Studies of Endometrial Cancer
子宫内膜癌的小鼠模型和转化研究
- 批准号:
8210415 - 财政年份:2010
- 资助金额:
$ 54.16万 - 项目类别:
Mouse Models and Translational Studies of Endometrial Cancer
子宫内膜癌的小鼠模型和转化研究
- 批准号:
8607459 - 财政年份:2010
- 资助金额:
$ 54.16万 - 项目类别:
Mouse Models and Translational Studies of Endometrial Cancer
子宫内膜癌的小鼠模型和转化研究
- 批准号:
8606327 - 财政年份:2010
- 资助金额:
$ 54.16万 - 项目类别:
Mouse Models and Translational Studies of Endometrial Cancer
子宫内膜癌的小鼠模型和转化研究
- 批准号:
8211402 - 财政年份:2010
- 资助金额:
$ 54.16万 - 项目类别:
Mouse Models and Translational Studies of Endometrial Cancer
子宫内膜癌的小鼠模型和转化研究
- 批准号:
8024551 - 财政年份:2010
- 资助金额:
$ 54.16万 - 项目类别:
Mouse Models and Translational Studies of Endometrial Cancer
子宫内膜癌的小鼠模型和转化研究
- 批准号:
7800739 - 财政年份:2010
- 资助金额:
$ 54.16万 - 项目类别:
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