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Project 01 - Sequential Multiple Assignment Randomization using imaging and molecular biomarkers in I-SPY 2 non-responders

Project 01 - Sequential Multiple Assignment Randomization using imaging and molecular biomarkers in I-SPY 2 non-responders
项目 01 - 在 I-SPY 2 无应答者中使用成像和分子生物标志物进行序贯多重分配随机化
批准号:
10249154
负责人:
ANGELA DEMICHELE
金额:
$18.95万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-08 至 2023-06-30

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中文摘要
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英文摘要
PROJECT 1 SUMMARY Women with aggressive breast cancer who achieve a pathologic complete response (pCR) to preoperative (“neoadjuvant”) therapy have excellent outcomes, despite presentation with stage II or III disease. In contrast, women with substantial residual cancer burden (“RCB 2/3”) after exposure to chemotherapy have poor outcomes, with event free survival below 60% at 3-5 years. Numerous studies and an FDA meta-analysis confirm the strong prognostic effect of pCR as a surrogate for long-term survival. The overarching goal of Project 1 is to exploit the pCR or RCB0 and RCB 2/3 surrogate to allow the successful I-SPY2 trial to evolve and test a new treatment paradigm where there are more opportunities for patients to reach a pCR. The I- SPY 2 TRIAL is already an innovative, adaptive clinical trial framework designed to accelerate new drug development tied to biomarkers of treatment response. To date, over 1000 patients (250 per year) have been randomized to one of 12 investigational treatment arms, 5 of which have successfully graduated from the trial. But we have observed that many women still fail to reach pCR, while others have excellent early response to therapy, and likely could be spared additional toxicity. We hypothesize that by utilizing an MRI-based tool to assess residual cancer burden (called the “Integrated RCB, or iRCB) midway through the course of neoadjuvant therapy, we will be able to effectively redirect treatment in those with either exceptional or poor response sparing the former (in whom iRCB predicts early pCR) additional toxic therapy by allowing them to go to surgery sooner, while providing the latter (in whom iRCB predicts RCB 2/3) with alternative novel, “personalized” therapies based upon their own tumor biology, in effect offering a `second chance' at achieving pCR. To optimize response, we will leverage insights into the mechanisms and markers of treatment resistance emerging from the I-SPY2 TRIAL, We have selected a Sequential Multiple Assignment Randomized Trial (SMART) model that permits us to incorporate these innovations within the I-SPY framework, ultimately enabling `serial' treatment modifications for women who continue to exhibit poor response. Project 1 will leverage knowledge and tools generated across all projects and cores: refinement of iRCB as the `trigger' for treatment re-direction (Project 2); an enhanced library of potential subsequent agents/combinations and probability of response based on the presence of tumor biomarkers, both known and newly identified (Projects 3, 4); and a clinical decision tool to assign substitute therapy based on the presence of multiple biomarkers of response. The end result will be the evolution of I-SPY 2 into I-SPY 2+.Our Admin core will oversee regulatory requirements as per our discussions with the FDA. Our Bioinformatics Core has leading expertise on the design of SMART and adaptive trials. This novel and innovative approach will evaluate both pathway and individualized treatment strategies critical to realizing the potential of precision medicine.
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Project 1: Imaging, pathology, and molecular biomarkers to Optimize Treatment Switching within a SMART adaptive Framework
Project 01 - Sequential Multiple Assignment Randomization using imaging and molecular biomarkers in I-SPY 2 non-responders
Molecular & Genetic Determinants of Outcome in Breast Ca
  • 批准号:
    6871968
  • 项目类别:
  • 资助金额:
    $32.01万
  • 财政年份:
    2004
  • 负责人:
    ANGELA DEMICHELE
  • 依托单位:
Molecular & Genetic Determinants of Outcome in Breast Cancer
  • 批准号:
    7364209
  • 项目类别:
  • 资助金额:
    $29.62万
  • 财政年份:
    2004
  • 负责人:
    ANGELA DEMICHELE
  • 依托单位:
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