Strategy for combining circulating tumor DNA (ctDNA) and magnetic resonance imaging (MRI) measures of tumor burden for prediction of response and outcome in neoadjuvant-treated early breast cancer
结合循环肿瘤 DNA (ctDNA) 和肿瘤负荷磁共振成像 (MRI) 测量来预测新辅助治疗的早期乳腺癌的反应和结果的策略
基本信息
- 批准号:10311505
- 负责人:
- 金额:$ 65.68万
- 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:2020-12-03 至 2025-11-30
- 项目状态:未结题
- 来源:
- 关键词:AdjuvantAdjuvant StudyAdjuvant TherapyBiological AssayBiological MarkersBloodBreastBreast Cancer PatientBreast-Conserving SurgeryCancer BurdenCharacteristicsClinicalClinical TrialsCorrelative StudyDNA analysisDataDetectionDiagnosisDiseaseDisease-Free SurvivalDistantDrug EvaluationERBB2 geneExposure toFunctional Magnetic Resonance ImagingGenetic FingerprintingsGenomicsGoalsHormone ReceptorIn complete remissionInfrastructureMagnetic Resonance ImagingMeasuresModalityMonitorMutationNeoadjuvant TherapyNodalOperative Surgical ProceduresOutcomePathologicPatient riskPatient-Focused OutcomesPatientsPerformancePrediction of Response to TherapyPrimary NeoplasmProbabilityRandomizedRecurrenceResidual CancersResidual TumorsRiskRisk AssessmentSerial Magnetic Resonance ImagingSurvival RateTestingTherapeuticTimeToxic effectTreatment outcomeTumor BurdenTumor VolumeValidationadvanced diseasebasecancer subtypeschemotherapycohortcompanion diagnosticsdiagnostic biomarkerdrug efficacyefficacy evaluationexperiencehigh riskimprovedimproved outcomeliquid biopsymalignant breast neoplasmmolecular imagingmultimodalitynovel therapeuticspatient responsephase II trialpredicting responsepredictive toolsprimary endpointprognostic modelprognostic toolprognostic valuereal time monitoringrelapse riskresponserisk stratificationstandard of caretooltreatment choicetreatment responsetumortumor DNA
项目摘要
ABSTRACT/PROJECT SUMMARY
Neoadjuvant chemotherapy (NAC), which is treatment given before surgery, has become a standard-of-care
for breast cancer patients diagnosed with locally advanced disease. NAC offers a unique opportunity for real-
time monitoring of tumor response and evaluation of drug efficacy. Patients who achieve pathologic complete
response (pCR) have an excellent outcome. Thus, the challenge of NAC is to bring each patient to pCR; and,
among non-responders, to identify those with a high probability of recurring for additional therapy in the adjuvant
setting. Biomarkers that accurately predict NAC response and metastatic recurrence are key to achieving these
objectives.
We hypothesize that a multimodal approach for monitoring of tumor burden during NAC—i.e., by magnetic
resonance imaging (MRI)-based functional tumor volume (FTV) and liquid biopsy-based circulating tumor DNA
(ctDNA) analyses—can yield robust and accurate predictors of response to NAC and metastatic recurrence; and
in turn, aid in therapeutic decisions regarding escalation or de-escalation of treatment to improve patient
outcomes. Here, we propose a correlative study to the neoadjuvant I-SPY 2 TRIAL, a multicenter, adaptive
randomization phase II trial that evaluates the efficacy of novel therapies in combination with standard NAC.
Integrated within I-SPY 2, is an ongoing study that evaluates MRI FTV as predictor of response and outcome,
and an infrastructure for discovery and validation of companion diagnostic markers, including ctDNA.
The proposed study aims to: (1) perform serial ctDNA profiling in patients receiving NAC; (2) combine serial
ctDNA profiles with available FTV data to develop breast cancer subtype-specific predictors of pCR, and (3) build
prognostic models that combine ctDNA and FTV information to improve on the predictive performance of residual
cancer burden (RCB) assessed at surgery.
The deliverables of this proposed study include: (1) serial ctDNA profiles in a large cohort of early breast
cancer patients; (2) a prediction tool that will calculate the probability of pCR (or residual cancer burden, RCB
0) at an early time point during treatment, and (3) a prognostic tool that will provide accurate risk assessment
for early metastatic recurrence in patients who have residual disease after NAC (non-pCR or RCB 1/2/3).
Our ultimate goal is to use the pCR prediction tool in the clinical trial setting to identify good responders who
may be eligible for early surgical treatment to reduce exposure to toxicities from unnecessary additional
therapies; and poor responders who may benefit from a switch in therapy to increase the likelihood of achieving
a pCR. Furthermore, we envision that the prognostic tool developed here will help guide treatment choices in
the adjuvant trial setting by providing aggressive adjuvant therapies to patients who are at high-risk of early
metastatic recurrence, while de-escalating or forgoing further treatment for those who were potentially cured by
NAC and surgical treatment and, therefore, not likely to recur.
摘要/项目摘要
新辅助化疗 (NAC) 是手术前进行的治疗,已成为一种标准治疗
适用于诊断为局部晚期疾病的乳腺癌患者。 NAC 提供了一个独特的机会
定时监测肿瘤反应并评价药物疗效。达到病理完全的患者
反应(pCR)具有良好的结果。因此,NAC的挑战是让每个患者达到pCR;和,
在无反应者中,识别那些在辅助治疗中很有可能复发的人
环境。准确预测 NAC 反应和转移复发的生物标志物是实现这些目标的关键
目标。
我们假设在 NAC 期间监测肿瘤负荷的多模式方法——即通过磁性
基于磁共振成像 (MRI) 的功能性肿瘤体积 (FTV) 和基于液体活检的循环肿瘤 DNA
(ctDNA) 分析——可以对 NAC 反应和转移复发产生稳健且准确的预测因子;和
反过来,帮助做出有关升级或降级治疗的治疗决策,以改善患者的情况
结果。在这里,我们提出了一项与新辅助 I-SPY 2 TRIAL 的相关研究,这是一项多中心、适应性的研究
随机化 II 期试验,评估新疗法与标准 NAC 组合的疗效。
I-SPY 2 中集成了一项正在进行的研究,该研究评估 MRI FTV 作为反应和结果的预测因子,
以及用于发现和验证伴随诊断标记(包括 ctDNA)的基础设施。
拟议研究的目的是:(1) 对接受 NAC 的患者进行连续 ctDNA 分析; (2) 组合系列
ctDNA 图谱与可用的 FTV 数据一起开发 pCR 的乳腺癌亚型特异性预测因子,以及 (3) 构建
结合 ctDNA 和 FTV 信息的预后模型可提高残差的预测性能
手术时评估癌症负担(RCB)。
这项拟议研究的成果包括:(1) 一大群早期乳腺癌患者的连续 ctDNA 谱
癌症患者; (2) 预测工具,用于计算 pCR(或残余癌症负担,RCB)的概率
0) 在治疗期间的早期时间点,以及 (3) 提供准确风险评估的预后工具
用于 NAC(非 pCR 或 RCB 1/2/3)后有残留疾病的患者的早期转移复发。
我们的最终目标是在临床试验环境中使用 pCR 预测工具来识别良好的反应者
可能有资格接受早期手术治疗,以减少不必要的额外接触带来的毒性
疗法;和反应不佳的人可能会受益于治疗的转变以增加实现目标的可能性
一个PCR。此外,我们预计这里开发的预后工具将有助于指导治疗选择
辅助试验设置,为早期癌症高危患者提供积极的辅助治疗
转移性复发,同时对那些可能治愈的患者进行降级治疗或放弃进一步治疗
因此NAC和手术治疗不太可能复发。
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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Wen Li其他文献
Wen Li的其他文献
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Strategy for combining circulating tumor DNA (ctDNA) and magnetic resonance imaging (MRI) measures of tumor burden for prediction of response and outcome in neoadjuvant-treated early breast cancer
结合循环肿瘤 DNA (ctDNA) 和肿瘤负荷磁共振成像 (MRI) 测量来预测新辅助治疗的早期乳腺癌的反应和结果的策略
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