Project 04 - Develop a portfolio of agents for switching that match biology of residual tumor burden
项目 04 - 开发与残余肿瘤负荷生物学相匹配的切换药物组合
基本信息
- 批准号:10013141
- 负责人:
- 金额:$ 27.24万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-09-08 至 2022-08-31
- 项目状态:已结题
- 来源:
- 关键词:ArchivesBioinformaticsBiologicalBiological MarkersBiological ProductsBiologyBiopsyBreastBreast Cancer Risk FactorCancer cell lineCharacteristicsClassificationClinicalClinical ProtocolsClinical TrialsCollaborationsCombined Modality TherapyDataData SetDatabasesDevelopmentDisease PathwayDisease ResistanceEarly identificationElementsEnrollmentEvaluationExpression ProfilingGene ExpressionGoalsImageImmunologic MarkersIn complete remissionInformation ResourcesInfrastructureInvestigationMagnetic Resonance ImagingMethodsModelingMolecularNeoadjuvant TherapyNew AgentsOperative Surgical ProceduresOutcomePathologicPathway AnalysisPathway interactionsPatient AgentsPatientsPharmaceutical PreparationsPrior TherapyProbabilityProtocols documentationQualifyingQualitative MethodsRandomizedRecurrenceRegimenResearchResearch DesignResearch PersonnelResidual TumorsResistanceResourcesRiskSelection for TreatmentsSequential Multiple Assignment Randomized TrialSequential TreatmentSourceSpecimenTechniquesTherapeuticTimeTumor BiologyTumor BurdenUpdateWomanWorkadvanced breast cancerbasebiomarker evaluationchemotherapydrug candidatedrug response predictiondrug sensitivityevidence baseexperiencegene expression databasehigh riskimprovedimproved outcomeinnovationmalignant breast neoplasmmolecular dynamicsmolecular markernext generationnon-invasive imagingnoveloutcome forecastphase III trialprecision medicinepressureprogramsprospectiveresponders and non-respondersresponseresponse biomarkersuccesssynergismtargeted treatmenttherapy resistanttooltreatment responsetrial designtumortumor eradicationtumor-immune system interactionsworking group
项目摘要
SUMMARY – PROJECT 4
Women with substantial residual disease after neoadjuvant chemotherapy (NAC) have poor prognosis with
substantial risk of early recurrence. Conversely, women who achieve pathologic complete response or `pCR'
(complete eradication of tumor) prior to surgery have very good outcomes. The I-SPY2 clinical trial is an
innovative multicenter, multi-agent clinical platform trial that uses an adaptive randomized study design to
accelerate the development of new agents and paired biomarkers of response in women with locally advanced
breast cancer. To date, 10 novel agents have begun evaluation, and 3 have `graduated' having a high (>85%)
probability of success in a phase III trial; over 1000 patients have enrolled, with 250 more each year. Despite
these advances, may women still fail to reach pCR. Driven by advances in MRI imaging assesments, this
Program Project aims to improve pCR rates by modifying I-SPY 2 to include non-invasive identification of
patients with insufficient response to NAC, then redirecting their treatment to another, biologically targeted
therapy selected based upon the presence of biomarkers of response present in their tumor. In this project, we
will use the substantial archived specimens and data sets from I-SPY 2 to identify new biomarkers and develop
the framework for evidence-based selection of substitute treatments. Our hypothesis is that tumor
characteristics at time of presentation will assist in the identification drug strategies that will successfully
convert a “non-responder” into a patient with a pCR. To achieve our goals of identifying successful drug
regimens that can be used to redirect patient's therapies, we will follow a research plan consisting of three
specific aims: 1) utilize the I-SPY2 qualifying biomarker evaluation (QBE) framework to identify biomarkers of
drug response based upon tumor immune microenvironment analyses, and assign probability scores to each
drug-biomarker pair; 2) expand the I-SPY2 predicted drug sensitivity portfolio to single agents or combination
therapies not yet within the I-SPY 2 drug portfolio, based on gene expression profiles of responders/non-
responders and drug-gene expression databases from breast and other cancer cell lines; and 3) create an
integrated drug response prediction matrix from all sources, and establish quantitative and qualitative
strategies for the rational, evidence-based selection of agents for reassignment.. We will work closely with the
Project 1 clinical team to refine our models in a way that maintains clinical context. We anticipate a unique and
important synergy to emerge through collaborations with Project 3, the goal of which is to characterize the
dynamics of molecular pathways of resistance under therapeutic pressure. This project will also leverage the
broad experience of the investigators and the bioinformatics expertise within the shared cores. The clinical
goals of the overall program project are a significant motivating factor for this study, which will result in the
development of important new information resources that will find utility within the I-SPY 2+ TRIAL and beyond.
摘要 - 项目4
新辅助化疗(NAC)后,患有大量残留疾病的妇女的预后不佳
早期复发的重大风险。相反,获得病理完全反应或“ PCR”的女性
(完全消除肿瘤)手术前的结局很好。 I-SPY2临床试验是
创新的多中心,多代理临床平台试验,该试验使用自适应随机研究设计
加速局部先进的女性的新代理商和配对的反应生物标志物
乳腺癌。迄今
在第三阶段试验中成功的概率;已有1000多名患者参加,每年增加250名。尽管
这些进步,愿妇女仍然无法达到PCR。在MRI成像评估的进步的驱动下,
计划项目旨在通过修改I-SPY 2来提高PCR率,以包括非侵入性识别
对NAC反应不足的患者,然后将其治疗重定向到另一个具有生物学靶向的治疗
根据其肿瘤中存在的反应生物标志物的存在选择的治疗。在这个项目中,我们
将使用I-SPY 2中的大量存档标本和数据集来识别新的生物标志物并开发
基于证据的替代治疗的框架。我们的假设是肿瘤
演示时的特征将有助于成功的识别药物策略
将“无反应器”转换为具有PCR的患者。为了实现我们确定成功药物的目标
可用于重定向患者疗法的方案,我们将遵循由三个研究计划
具体目的:1)利用I-SPY2合格生物标志物评估(QBE)框架来识别生物标志物
基于肿瘤免疫环境分析的药物反应,并将概率得分分配给每个
吸毒者对; 2)将I-SPY2预测的药物敏感性投资组合扩展到单个药物或组合
基于响应者的基因表达谱/非 -
来自乳腺癌和其他癌细胞系的响应者和药物 - 基因表达数据库; 3)创建一个
来自所有来源的综合药物反应预测矩阵,并建立定量和定性
理性的,基于证据的代理进行重新分配的策略。我们将与
项目1临床团队以保持临床环境的方式来完善我们的模型。我们期待一个独特的
通过与项目3的合作而出现的重要协同作用,其目的是表征
在热压下电阻分子途径的动力学。该项目还将利用
共享核心内研究人员和生物信息学专业知识的广泛经验。临床
整个计划项目的目标是这项研究的重要激励因素,这将导致
开发重要的新信息资源,这些资源将在I-SPY 2+试验及其他地区中找到效用。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Douglas Yee其他文献
Douglas Yee的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Douglas Yee', 18)}}的其他基金
Disrupting insulin receptor function in breast cancer
破坏乳腺癌中的胰岛素受体功能
- 批准号:
10412979 - 财政年份:2020
- 资助金额:
$ 27.24万 - 项目类别:
Disrupting insulin receptor function in breast cancer
破坏乳腺癌中的胰岛素受体功能
- 批准号:
10625994 - 财政年份:2020
- 资助金额:
$ 27.24万 - 项目类别:
Disrupting insulin receptor function in breast cancer
破坏乳腺癌中的胰岛素受体功能
- 批准号:
10028995 - 财政年份:2020
- 资助金额:
$ 27.24万 - 项目类别:
Disrupting insulin receptor function in breast cancer
破坏乳腺癌中的胰岛素受体功能
- 批准号:
10171816 - 财政年份:2020
- 资助金额:
$ 27.24万 - 项目类别:
相似国自然基金
2023年(第四届)国际生物数学与医学应用研讨会
- 批准号:12342004
- 批准年份:2023
- 资助金额:8.00 万元
- 项目类别:专项项目
突变和修饰重塑蛋白质亚细胞定位的生物信息学研究
- 批准号:32370698
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
基于生物信息学的类风湿性关节炎患者衰弱预测模型的构建与验证
- 批准号:82301786
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
基于结构表征的蛋白质与长链非编码RNA相互作用预测的生物信息学方法研究
- 批准号:62373216
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
蛋白质降解决定因子的生物信息学筛选及其耐药突变的多组学分析研究
- 批准号:32300528
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
相似海外基金
An RNA Nanosensor for the Diagnosis of Antibiotic Resistance in M. Tuberculosis
用于诊断结核分枝杆菌抗生素耐药性的 RNA 纳米传感器
- 批准号:
10670613 - 财政年份:2023
- 资助金额:
$ 27.24万 - 项目类别:
Core B: Biorepository and Biospecimen Resource Facility Core
核心 B:生物样本库和生物样本资源设施核心
- 批准号:
10630467 - 财政年份:2023
- 资助金额:
$ 27.24万 - 项目类别: