Prognostic Models of Clinical Outcomes In Men With Castration Resistant Prostate
去势抵抗性前列腺男性临床结果的预后模型
基本信息
- 批准号:8681186
- 负责人:
- 金额:$ 23.16万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-07-06 至 2016-05-31
- 项目状态:已结题
- 来源:
- 关键词:AlgorithmsCancer PatientCaringCastrationChemotherapy-Oncologic ProcedureClinicalClinical TreatmentClinical TrialsCommunitiesComplexDataData SetDependenceDevelopmentDiseaseEnrollmentEnsureFDA approvedFutureGoalsHeterogeneityIndividualMedicalModelingMotivationOutcomePathway interactionsPatient CarePatientsPersonsPharmaceutical PreparationsPhasePhase II/III TrialPhase III Clinical TrialsPredictive FactorPrednisonePrognostic FactorProgression-Free SurvivalsProstateProstate-Specific AntigenRandomizedReportingResistanceResourcesStagingSubgroupSurrogate MarkersTestingTimeToxic effectTumor Burdencastration resistant prostate cancercatalystchemotherapyclinical practiceclinically relevantdesigndocetaxelimprovedinnovationmenmen&aposs groupmodel developmentnoveloutcome forecastprognosticresponsestandard of caretooltumor
项目摘要
DESCRIPTION (provided by applicant): The dilemma in treating men with castration resistant prostate cancer (CRPC) lies not only in the heterogeneity of the disease but also the spectrum of patients that have the disease. Considerable energy has been dedicated to understanding tumor heterogeneity and developing prognostic models of clinical outcomes in men with CRPC who are chemotherapy naive. The identification of prognostic factors of clinical outcomes in men with CRPC who failed frontline chemotherapy has not, however, been investigated. Such identification is increasingly important due to the large number of patients who not only fail frontline chemotherapy but have excessive toxicity due to docetaxel. We anticipate that the same patient may need different models (prognostic calculators) at different stages of their care pathway as more prognostic information on that person's condition accumulates. The specific aims in this proposal are: 1) to develop a prognostic model that will predict overall survival (OS) in men with CRPC who failed first line chemotherapy. The model will be validated for predictive accuracy using an independent dataset. 2) To develop a prognostic model that will predict progression-free survival (PFS) in CRPC men who failed first line chemotherapy. The model will be validated for predictive accuracy using an independent dataset. 3a) To determine if e 30% decline in prostate specific antigen (PSA) at 3-months following treatment with cabazitaxel, the only FDA approved drug for treating men who failed frontline chemotherapy, is a valid surrogate marker of OS. 3b) to develop and validate a prognostic model that will predict post-therapy decline in PSA (e30% decline from baseline at 3-months). 4) To test for the dependence between time to progression and OS using the TROPIC trial. Innovation: This study has a high degree of innovation because of its strong potential to positively impact the design and conduct of future trials in PC. In particular, this study will be the first to identify and validate models of clinical outcomes and will incorporate data from the two largest phase III trials of men with advanced CRPC who failed frontline chemotherapy. These models are completely absent for the growing group of men who have received frontline chemotherapy and are considering secondary chemotherapy. The development of these models will facilitate discussions with CRPC patients, as well as help integrate these models into the design, conduct and analysis of new clinical trials in PC and patient care.
描述(由申请人提供):治疗耐cast割前列腺癌(CRPC)的男性的困境不仅在于该疾病的异质性,还在于患有该疾病的患者。大量能量致力于理解肿瘤异质性,并在化学疗法幼稚的CRPC男性中开发临床结局的预后模型。然而,尚未研究鉴定前线化学疗法失败的CRPC男性临床结果的预后因素。由于大量患者不仅失败了前线化疗,而且由于多西他赛而导致过多的毒性,因此这种识别越来越重要。我们预计,随着该人病情的更多预后信息会累积,同一患者可能需要不同模型(预后计算器)。该提案中的具体目的是:1)开发一种预后模型,该模型将预测一线化学疗法失败的CRPC男性的总体生存(OS)。该模型将通过独立数据集进行验证以进行预测精度。 2)开发一个预后模型,该模型将预测一线化疗失败的CRPC男性中无进展生存率(PFS)。该模型将通过独立数据集进行验证以进行预测精度。 3A)为了确定用Cabazitaxel治疗后3个月的前列腺特异性抗原(PSA)的E 30%,这是唯一获得FDA批准治疗前线化疗的男性的药物,是OS的有效替代标记。 3B)开发和验证预后模型,该模型将预测PSA后疗法后的下降(E30%的基线下降了3个月)。 4)使用热带试验测试时间对进展和OS的依赖性。创新:这项研究具有高度的创新,因为它具有积极影响PC中未来试验的设计和行为的强大潜力。特别是,这项研究将是第一个识别和验证临床结果模型的研究,并将结合两项最大的III期阶段试验的数据,该试验的高级CRPC男性未通过前线化学疗法。这些模型完全不存在接受一线化学疗法并正在考虑二级化疗的男性的成长组。这些模型的开发将有助于与CRPC患者进行讨论,并有助于将这些模型整合到PC和患者护理中新的临床试验的设计,进行和分析中。
项目成果
期刊论文数量(13)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Adjustment on the Type I Error Rate for a Clinical Trial Monitoring for both Intermediate and Primary Endpoints.
调整中间终点和主要终点临床试验监测的 I 类错误率。
- DOI:10.4172/2155-6180.s7-015
- 发表时间:2012
- 期刊:
- 影响因子:0
- 作者:Halabi,Susan
- 通讯作者:Halabi,Susan
On model specification and selection of the Cox proportional hazards model.
- DOI:10.1002/sim.5876
- 发表时间:2013-11-20
- 期刊:
- 影响因子:2
- 作者:Lin, Chen-Yen;Halabi, Susan
- 通讯作者:Halabi, Susan
A Simple Method for Deriving the Confidence Regions for the Penalized Cox's Model via the Minimand Perturbation.
- DOI:10.1080/03610926.2015.1085568
- 发表时间:2017
- 期刊:
- 影响因子:0
- 作者:Lin CY;Halabi S
- 通讯作者:Halabi S
Sample Size Requirements and Study Duration for Testing Main Effects and Interactions in Completely Randomized Factorial Designs When Time to Event is the Outcome.
以事件发生时间为结果时,在完全随机因子设计中测试主要效应和相互作用的样本量要求和研究持续时间。
- DOI:10.1080/03610926.2012.705940
- 发表时间:2015
- 期刊:
- 影响因子:0
- 作者:Moser,BarryKurt;Halabi,Susan
- 通讯作者:Halabi,Susan
On the use of min-max combination of biomarkers to maximize the partial area under the ROC curve.
关于使用生物标志物的最小-最大组合来最大化 ROC 曲线下的部分面积。
- DOI:10.1155/2019/8953530
- 发表时间:2019
- 期刊:
- 影响因子:1.1
- 作者:Ma,Hua;Halabi,Susan;Liu,Aiyi
- 通讯作者:Liu,Aiyi
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SUSAN HALABI其他文献
SUSAN HALABI的其他文献
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{{ truncateString('SUSAN HALABI', 18)}}的其他基金
Sieve based full likelihood approach for the Cox proportional hazards model with applications to immunotherapies trials
基于筛法的 Cox 比例风险模型的完全似然法及其在免疫治疗试验中的应用
- 批准号:
10577723 - 财政年份:2023
- 资助金额:
$ 23.16万 - 项目类别:
Research Triangle Center of Excellence in Regulatory Science and Innovation
监管科学与创新卓越研究三角中心
- 批准号:
10756714 - 财政年份:2023
- 资助金额:
$ 23.16万 - 项目类别:
Interactions of Androgen Production, Uptake and Metabolism on outcome in Castration Resistant Prostate Cancer
雄激素产生、摄取和代谢的相互作用对去势抵抗性前列腺癌预后的影响
- 批准号:
10460400 - 财政年份:2021
- 资助金额:
$ 23.16万 - 项目类别:
Interactions of Androgen Production, Uptake and Metabolism on outcome in Castration Resistant Prostate Cancer
雄激素产生、摄取和代谢的相互作用对去势抵抗性前列腺癌预后的影响
- 批准号:
10908110 - 财政年份:2021
- 资助金额:
$ 23.16万 - 项目类别:
Serum Androgens as Predictors of Survival in Metastatic Prostate Cancer
血清雄激素作为转移性前列腺癌生存的预测因子
- 批准号:
8881946 - 财政年份:2015
- 资助金额:
$ 23.16万 - 项目类别:
Prognostic Models of Clinical Outcomes In Men With Castration Resistant Prostate
去势抵抗性前列腺男性临床结果的预后模型
- 批准号:
8298156 - 财政年份:2011
- 资助金额:
$ 23.16万 - 项目类别:
Prognostic Models of Clinical Outcomes In Men With Castration Resistant Prostate
去势抵抗性前列腺男性临床结果的预后模型
- 批准号:
8188071 - 财政年份:2011
- 资助金额:
$ 23.16万 - 项目类别:
Prognostic Models of Clinical Outcomes In Men With Castration Resistant Prostate
去势抵抗性前列腺男性临床结果的预后模型
- 批准号:
8471668 - 财政年份:2011
- 资助金额:
$ 23.16万 - 项目类别:
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