Developing approaches for modeling genomic and proteomic profiles in lung cancer
Developing approaches for modeling genomic and proteomic profiles in lung cancer
批准号:
8103076
负责人:
Pamela Markell McMahon
金额:
$23.18万
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:
2007-08-01 至 2013-03-30
关键词:
AblationAddressAdherenceAdvisory CommitteesAgeAlgorithmsAmericanAwardBenignBiological MarkersCancer BurdenCancer InterventionCharacteristicsClinicalComplexDataDevelopmentDiseaseDoctor of PhilosophyEffectivenessEligibility DeterminationFutureGenderGeneral HospitalsGenomicsGoalsGrowth and Development functionGuidelinesImageImaging technologyIndividualInstitutesInvestmentsLesionMalignant NeoplasmsMalignant neoplasm of lungMass ScreeningMassachusettsMeasurableMentorsMentorshipMethodsModelingMolecular ProfilingNatural HistoryNeoplasm MetastasisOutcomePatientsPhasePoliciesPopulationPopulation DynamicsPositioning AttributeProteomicsRaceRelative (related person)ResearchResearch PersonnelRiskRoleScreening for cancerScreening procedureSimulateSiteSmokingSmoking HistorySmoking StatusSourceSpecific qualifier valueSpiral Computed TomographyStagingStructureTechnology AssessmentTimeWorkplacebasecell typecohortcost effectivecost effectivenessdesignexperiencefollow-upimprovedinterestlung cancer screeningmeetingsmodels and simulationmortalitynovelprogramsstatisticstool
中文摘要
描述(由申请人提供):尽管最近吸烟率有所下降,但肺癌在2005年夺去了超过16.3万美国人的生命。人们对可能的肺癌筛查项目非常感兴趣;几项正在进行的大型试验正在评估检测早期肺癌的成像技术。此外,对基因组和蛋白质组学研究的公共和私人投资可能会将生物标志物添加到肺癌筛查工具列表中。通过建模,一种整合现有数据的正式、透明的方式,可以决定成像和生物标志物在肺癌筛查项目中的适当作用。在拟议的独立阶段,我将把基因组和蛋白质组学资料纳入肺癌政策模型,这是一个全面的肺癌微观模拟模型,旨在评估筛查项目的成本、有效性和成本效益。
英文摘要
DESCRIPTION (provided by applicant): Despite recent decreases in smoking rates, lung cancer claimed more than 163,000 American lives in 2005. Interest in possible lung cancer screening programs is intense; several large ongoing trials are evaluating imaging technologies to detect early-stage lung cancer. In addition, public and private investment in genomic and proteomic research may add biomarkers to the list of tools for lung cancer screening. Decisions about the appropriate roles of imaging and biomarkers in lung cancer screening programs can be informed by modeling, a formal, transparent way to integrate available data. In the proposed independent phase, I will incorporate genomic and proteomic profiles into the Lung Cancer Policy Model, a comprehensive microsimulation model of lung cancer designed to evaluate the cost, effectiveness, and cost-effectiveness of screening programs.
I am an outcomes researcher with experience in developing complex disease simulation models, including the natural history model at the core of the Lung Cancer Policy Model. My long term research agenda is to develop methods and approaches to making disease simulation models more robust and useful to decision makers. Specifically, future approaches for cancer screening, treatment, and surveillance promise to be increasingly tailored to the individual patient. Modeling cancer interventions will require much more detail on individual characteristics and clinical algorithms than is now typical in disease simulation models.
The site of the proposed study, the Institute for Technology Assessment (ITA) at Massachusetts General Hospital, offers a rich combination of facilities, expertise, and mentorship. The proposed Sponsor, G. Scott Gazelle, MD MPH PhD, became my primary mentor when I joined the ITA in 1998 as a research assistant, and recently chaired my doctoral dissertation committee. We have established a comfortable and productive work environment and have developed a mentoring plan that will allow me to complete my transition to an independent researcher role. Protected time for coursework, meetings with an Advisory Committee of clinical and modeling experts, and completion of ongoing analyses involving the Lung Cancer Policy Model will position me appropriately to undertake the proposed research and apply for an independent research award.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
The impact of obesity on the rise in esophageal adenocarcinoma incidence: estimates from a disease simulation model.
肥胖对食管腺癌发病率上升的影响:疾病模拟模型的估计。
DOI:
10.1158/1055-9965.epi-11-0547
发表时间:
2011
期刊:
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
影响因子:
--
作者:
[Kong,ChungYin, Nattinger,KevinJ, Hayeck,TristanJ, Omer,ZehraB, Wang,YClaire, Spechler,StuartJ, McMahon,PamelaM, Gazelle,GScott, Hur,Chin]
通讯作者:
Hur,Chin
DOI:
10.1177/2381468316643968
发表时间:
2016-07
期刊:
MDM policy & practice
影响因子:
--
作者:
[Kong CY, Sheehan DF, McMahon PM, Gazelle GS, Pandharipande P]
通讯作者:
Pandharipande P
Developing approaches for modeling genomic and proteomic profiles in lung cancer
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批准号:7224332
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项目类别:
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资助金额:$14.09万
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财政年份:2007
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负责人:Pamela Markell McMahon
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依托单位:
Developing approaches for modeling genomic and proteomic profiles in lung cancer
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批准号:7902278
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项目类别:
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资助金额:$24.2万
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财政年份:2007
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负责人:Pamela Markell McMahon
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依托单位:
Developing approaches for modeling genomic and proteomic profiles in lung cancer
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批准号:7474716
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项目类别:
-
资助金额:$14.22万
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财政年份:2007
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负责人:Pamela Markell McMahon
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依托单位:
Developing approaches for modeling genomic and proteomic profiles in lung cancer
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批准号:7887003
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项目类别:
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资助金额:$24.44万
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财政年份:2007
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负责人:Pamela Markell McMahon
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依托单位:
海外基金