Modeling Precision Interventions for Prostate Cancer Control
前列腺癌控制的精准干预建模
基本信息
- 批准号:10260543
- 负责人:
- 金额:$ 69.83万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-09-10 至 2022-03-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAdherenceAreaBahamasBehaviorBiological MarkersBiopsyBritish ColumbiaCalibrationCancer ControlCancer EtiologyCancer InterventionCancer Intervention and Surveillance Modeling NetworkCessation of lifeClinicalClinical SciencesClinical TrialsCountryDataData SetData SourcesDecision MakingDevelopmentDiagnosisDiagnosticDiseaseDisease modelEarly DiagnosisEventFred Hutchinson Cancer Research CenterFunding OpportunitiesHormonalImageImaging DeviceImaging technologyIncidenceIndividualInternationalInterventionLeadLeadershipLearningLondonLong-Term EffectsMagnetic Resonance ImagingMalignant NeoplasmsMalignant neoplasm of prostateMethodologyMichiganModelingModernizationNatural HistoryNeoplasm MetastasisOutcomePSA screeningPatient CarePatientsPolicePoliciesPopulationPopulation SciencesPositioning AttributePrecision therapeuticsProcessProstateProstate Cancer therapyRadical ProstatectomyRecording of previous eventsRecurrenceResearch PersonnelResourcesRiskRisk EstimateRouteSalvage TherapySaudi ArabiaScreening for Prostate CancerSolidSolid NeoplasmSourceStatistical MethodsStratificationTechniquesTechnologyTestingTherapeuticTimeUnited KingdomUnited StatesUniversitiesUrologic OncologyValidationWorkadvanced diseasebaseblack mencancer diagnosiscollegecostcurative treatmentsdisease natural historydisorder riskearly screeningevidence basegenetic testinghealth disparityhigh risk menhigh risk populationimprovedindividual patientindividualized preventioninnovationinterdisciplinary approachmenmodels and simulationmortalitynovelnovel markerovertreatmentpersonalized carepersonalized interventionpersonalized medicinepersonalized screeningprocess optimizationprostate biopsyprostate cancer modelracial disparityrandomized trialrisk stratificationscreeningscreening policytreatment strategytrendworking group
项目摘要
PROJECT SUMMARY/ABSTRACT
Prostate cancer is the most common solid tumor in men and the second most common cause of cancer death
in the United States. The Cancer Intervention and Surveillance Modeling Network (CISNET) Prostate Working
Group (PWG) was formed in the year 2000 to address a wide range of questions about effective prostate
cancer control. The PWG studied the rapid increase in prostate cancer diagnoses after PSA screening started
in the late 1980s to estimate lead time and overdiagnosis associated with the test. The PWG studied the
decline in prostate cancer mortality that began in the early 1990s to quantify the plausible contributions of PSA
screening and changes in primary treatments. The PWG also studied how to interpret trends in racial
disparities in incidence and survival, how to manage men with low-risk disease on active surveillance, and how
to reconcile apparently discordant randomized trials of PSA screening and radical prostatectomy.
In recent years, technologies surrounding prostate cancer screening and treatment have evolved rapidly, and
opportunities to improve patient care using personalized data abound. Genetic testing can identify men at
increased risk for developing aggressive disease, new biomarkers and imaging tools can help men avoid
unnecessary biopsies, and new hormonal treatments can lengthen survival for men with advanced disease.
The objective of this application is to extend PWG models to evaluate optimal ways to utilize personalized data
to improve patient care while limiting harms and costs. We will determine whether we can improve early
detection using novel stratification approaches and whether we can safely limit overtreatment and other harms
by tailored choices of primary and secondary therapies. These approaches will be applied in the United States
and in international cancer control settings with different resources and priorities.
Our specific aims are as follows. Aim 1: Precision early detection, including risk-stratified screening and biopsy
using genetic tests, novel biomarkers, and imaging technology. Aim 2: Precision active surveillance, including
adaptive biopsy intervals and imaging technology. Aim 3: Precision treatment, including type and timing of
initial and salvage therapies. Aim 4: Targeting screening, biopsy, and treatment policies to reduce racial
disparities. Aim 5: Prioritizing screening and treatment interventions in international settings. These aims are
highly responsive to the funding opportunity announcement, addressing 7 of the 9 targeted priority areas to
varying degrees. Our cumulative expertise in prostate modeling, our existing models, and our close ties with
clinical experts who provide access to large, high-quality datasets for model validation and calibration put us in
a strong position to answer critical and impactful questions about how best to control this most common cancer
in men.
项目摘要/摘要
前列腺癌是男性最常见的实体瘤,是癌症死亡的第二大最常见原因
在美国。癌症干预和监视建模网络(CISNET)前列腺工作
组(PWG)成立于2000年,以解决有关有效前列腺的广泛问题
癌症控制。 PWG研究了PSA筛查开始后的前列腺癌诊断的快速增加
在1980年代后期,估计与测试相关的交货时间和过度诊断。 PWG研究了
从1990年代初开始量化PSA的合理贡献的前列腺癌死亡率下降
筛查和主要治疗的变化。 PWG还研究了如何解释种族趋势
发病率和生存的差异,如何在主动监视时管理患有低风险疾病的男性以及如何管理
为了调和PSA筛查和根治性前列腺切除术的不一致的随机试验。
近年来,围绕前列腺癌筛查和治疗的技术迅速发展,并且
使用个性化数据来改善患者护理的机会很多。基因测试可以识别男性
增加侵略性疾病,新生物标志物和成像工具的风险增加可以帮助男性避免
不必要的活检和新的荷尔蒙治疗可以延长患有晚期疾病的男性的生存。
该应用程序的目的是扩展PWG模型,以评估使用个性化数据的最佳方法
改善患者护理,同时限制危害和成本。我们将确定我们是否可以提早改善
使用新型分层方法的检测以及我们是否可以安全地限制过度治疗和其他危害
通过量身定制的初级和次要疗法的选择。这些方法将在美国采用
在国际癌症控制环境中,具有不同的资源和优先事项。
我们的具体目标如下。 AIM 1:精确的早期检测,包括风险分层的筛查和活检
使用基因测试,新型生物标志物和成像技术。目标2:精确主动监视,包括
自适应活检间隔和成像技术。目标3:精确处理,包括类型和时机
初始和打捞疗法。目标4:针对筛查,活检和治疗政策以减少种族
差异。目标5:优先考虑国际环境中的筛查和治疗干预措施。这些目标是
对资金机会公告的高度响应,将9个目标优先领域中的7个介绍给
不同程度。我们在前列腺建模,现有模型以及与我们与我们的紧密联系方面的累积专业知识
提供访问大型高质量数据集的临床专家以进行模型验证和校准使我们加入
关于如何最好地控制这种最常见的癌症的批判性和有影响力的问题的强烈立场
在男人。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('RUTH D ETZIONI', 18)}}的其他基金
Modeling Precision Interventions for Prostate Cancer Control
前列腺癌控制的精准干预建模
- 批准号:
10683180 - 财政年份:2020
- 资助金额:
$ 69.83万 - 项目类别:
Modeling Precision Interventions for Prostate Cancer Control
前列腺癌控制的精准干预建模
- 批准号:
10461832 - 财政年份:2020
- 资助金额:
$ 69.83万 - 项目类别:
Modeling Precision Interventions for Prostate Cancer Control
前列腺癌控制的精准干预建模
- 批准号:
10601453 - 财政年份:2020
- 资助金额:
$ 69.83万 - 项目类别:
Modeling to Minimize Detection Bias in Cancer Risk Prediction Studies
建立模型以最大限度地减少癌症风险预测研究中的检测偏差
- 批准号:
10020923 - 财政年份:2019
- 资助金额:
$ 69.83万 - 项目类别:
Modeling to Minimize Detection Bias in Cancer Risk Prediction Studies
建立模型以最大限度地减少癌症风险预测研究中的检测偏差
- 批准号:
10601444 - 财政年份:2019
- 资助金额:
$ 69.83万 - 项目类别:
Modeling to Minimize Detection Bias in Cancer Risk Prediction Studies
建立模型以最大限度地减少癌症风险预测研究中的检测偏差
- 批准号:
10246991 - 财政年份:2019
- 资助金额:
$ 69.83万 - 项目类别:
Modeling to Improve Prostate Cancer Outcomes Across Diverse Populations
改善不同人群前列腺癌预后的建模
- 批准号:
8969577 - 财政年份:2015
- 资助金额:
$ 69.83万 - 项目类别:
Estimating Overdiagnosis in Cancer Screening Studies
评估癌症筛查研究中的过度诊断
- 批准号:
9267345 - 财政年份:2015
- 资助金额:
$ 69.83万 - 项目类别:
Modeling to Improve Prostate Cancer Outcomes Across Diverse Populations
改善不同人群前列腺癌预后的建模
- 批准号:
9332349 - 财政年份:2015
- 资助金额:
$ 69.83万 - 项目类别:
Modeling to Improve Prostate Cancer Outcomes Across Diverse Populations
改善不同人群前列腺癌预后的建模
- 批准号:
9132188 - 财政年份:2015
- 资助金额:
$ 69.83万 - 项目类别:
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