Dynamics of Immune Response in Irradiated Rectal Cancer

受照射直肠癌免疫反应的动态

基本信息

  • 批准号:
    10708019
  • 负责人:
  • 金额:
    $ 147.71万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-09-21 至 2027-07-31
  • 项目状态:
    未结题

项目摘要

ABSTRACT Despite the recognition of the contribution of the immune system to cancer response to ionizing radiation, successful translation to the clinic is lagging. We are proposing to adapt the ROBIN mechanisms of research to enable a deep dive into the field of radiation (RT) and immunity. Representatives from seven international academic centers already engaged in RT and immunity research have converged to participate in a small prospective clinical trial (accrual: 25 patients in US and 25 patients in Europe), to synergize and accelerate discovery. The setting of preoperative short course radiotherapy (SCRT) in rectal cancer, has emerged as ideal for the scientific questions posed. SCRT is a standard treatment, preceded and followed by colonoscopies to respectively assess tumor baseline extent and response (at the end of RT): during each colonoscopy consenting patients can donate a tumor biopsy, as well as stool and blood (PBMC) samples. The same set of specimens can be harvested, six weeks later at surgery, where research sampling of lymph nodes will also be possible, within and outside the RT field. These sequential sets of tissues will enable us to conduct cutting edge multiple “omics” approaches to study irradiated normal and cancer tissue and the microbiome in the RT field. The PBMC analysis will allow correlation at a single cell level between RT-induced oxidative stress, changes in immunophenotype and PBMC biology. Similarly, the ability to analyze lymph nodes harvested inside and outside the radiation field will allow to pinpoint at the single cell level the RT effects on each immune subpopulation. The longitudinal analysis on cancer biopsy, collected before and after RT and at surgery, will give a snapshot on the RT-induced “omics” changes. An orthogonal radiomic study will analyze MR images obtained before SCRT and before surgery (also standard imaging procedures in rectal cancer) together with images obtained at CT simulation. Compliance with international regulations for data sharing, standardization of procedures and data acquisition and harmonization of uploaded data will be essential to this effort. Advanced bioinformatics tools will be applied through a dedicated Data Sharing and Integrative Analysis Core, capable to deconvolute and interpret complex biological and imaging data, sorted by utilizing NCI FireCloud workspaces. By converging experienced clinical investigators, bio-scientists and bio-informaticians to address fundamental radiation biology questions, this ROBIN will rapidly enable unprecedented discovery that will be shared with the ROBIN network and the scientific community at large. Finally, since inception, ROBIN has revealed an optimal environment for cross-training and cross-fertilization of the scientists and clinicians involved in the grant preparation and has created a robust foundation for the proposed Cross Training Core, a novel structure to form future leaders in radiation oncology and biology, a task each of the three P.I.s consider crucial to the future of our discipline.
摘要 尽管认识到免疫系统对电离辐射引起的癌症反应的作用, 成功地转化为临床是滞后的。我们建议调整罗宾研究机制, 深入了解辐射(RT)和免疫力领域。来自七个国际组织的代表 已经从事RT和免疫研究的学术中心已经聚集起来参加一个小型的 前瞻性临床试验(招募:美国25例患者,欧洲25例患者),以协同和加速 的发现直肠癌术前短程放射治疗(SCRT)的设置已成为理想的 提出的科学问题。SCRT是一种标准治疗,在此之前和之后进行结肠镜检查, 分别评估肿瘤基线范围和缓解(RT结束时):每次结肠镜检查期间 患者可以捐献肿瘤活检,以及粪便和血液(PBMC)样本。同一组标本 可以在手术后六周收获,在那里淋巴结的研究取样也是可能的, 在RT领域内外。这些连续的组织将使我们能够进行尖端的多个 “组学”方法用于研究辐射的正常和癌症组织以及RT领域的微生物组。将PBMC 分析将允许在单细胞水平上RT-诱导的氧化应激、 免疫表型和PBMC生物学。同样,分析淋巴结内外的能力 辐射场将允许在单细胞水平精确定位RT对每个免疫亚群的作用。的 对RT前后和手术时收集的癌症活检进行纵向分析, RT诱导的“组学”变化。正交放射组学研究将分析SCRT前获得的MR图像, 术前(也是直肠癌的标准成像程序)以及CT获得的图像 仿真遵守关于数据共享、程序和数据标准化的国际条例 获取和统一上传的数据对这项工作至关重要。先进的生物信息学工具将 通过专用的数据共享和综合分析核心应用,能够解卷积和解释 复杂的生物和成像数据,通过使用NCI FireCloud数据库进行排序。通过汇聚经验丰富的 临床研究人员、生物科学家和生物信息学家,以解决基本的辐射生物学问题, 该ROBIN将迅速实现前所未有的发现,并将与ROBIN网络和 整个科学界。 最后,自成立以来,罗宾已经揭示了交叉培训和交叉施肥的最佳环境, 参与资助准备的科学家和临床医生,并为 提出了交叉训练核心,一种新的结构,以形成未来的领导者在放射肿瘤学和生物学,一项任务 三位私家侦探都认为对我们学科的未来至关重要

项目成果

期刊论文数量(18)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Type I interferon signaling in malignant blasts contributes to treatment efficacy in AML patients.
  • DOI:
    10.1038/s41419-023-05728-w
  • 发表时间:
    2023-03-24
  • 期刊:
  • 影响因子:
    9
  • 作者:
    Holicek P;Truxova I;Rakova J;Salek C;Hensler M;Kovar M;Reinis M;Mikyskova R;Pasulka J;Vosahlikova S;Remesova H;Valentova I;Lysak D;Holubova M;Kaspar P;Prochazka J;Kasikova L;Spisek R;Galluzzi L;Fucikova J
  • 通讯作者:
    Fucikova J
BCL2 Inhibition Reveals a Dendritic Cell-Specific Immune Checkpoint That Controls Tumor Immunosurveillance.
  • DOI:
    10.1158/2159-8290.cd-22-1338
  • 发表时间:
    2023-11-01
  • 期刊:
  • 影响因子:
    28.2
  • 作者:
    Zhao L;Liu P;Mao M;Zhang S;Bigenwald C;Dutertre CA;Lehmann CHK;Pan H;Paulhan N;Amon L;Buqué A;Yamazaki T;Galluzzi L;Kloeckner B;Silvin A;Pan Y;Chen H;Tian AL;Ly P;Dudziak D;Zitvogel L;Kepp O;Kroemer G
  • 通讯作者:
    Kroemer G
Cancer stem cell immunoediting by IFNγ.
  • DOI:
    10.1038/s41419-023-06079-2
  • 发表时间:
    2023-08-21
  • 期刊:
  • 影响因子:
    9
  • 作者:
    Galassi, Claudia;Galluzzi, Lorenzo
  • 通讯作者:
    Galluzzi, Lorenzo
Interferon signaling restrains renal cell carcinoma heterogeneity.
干扰素信号传导抑制肾细胞癌的异质性。
  • DOI:
    10.1016/j.trecan.2023.08.008
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    18.4
  • 作者:
    Holicek,Peter;Fucikova,Jitka;Galluzzi,Lorenzo
  • 通讯作者:
    Galluzzi,Lorenzo
Mitochondrial control of inflammation.
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Joseph O Deasy其他文献

Joseph O Deasy的其他文献

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{{ truncateString('Joseph O Deasy', 18)}}的其他基金

Data Sharing and Integrative Analysis Core
数据共享与综合分析核心
  • 批准号:
    10517809
  • 财政年份:
    2022
  • 资助金额:
    $ 147.71万
  • 项目类别:
Dynamics of Immune Response in Irradiated Rectal Cancer
受照射直肠癌免疫反应的动态
  • 批准号:
    10517804
  • 财政年份:
    2022
  • 资助金额:
    $ 147.71万
  • 项目类别:
Data Sharing and Integrative Analysis Core
数据共享与综合分析核心
  • 批准号:
    10708072
  • 财政年份:
    2022
  • 资助金额:
    $ 147.71万
  • 项目类别:
Dose-distribution radiomics to predict morbidity risk in radiotherapy
剂量分布放射组学预测放射治疗的发病风险
  • 批准号:
    9477682
  • 财政年份:
    2016
  • 资助金额:
    $ 147.71万
  • 项目类别:
Dose-distribution radiomics to predict morbidity risk in radiotherapy
剂量分布放射组学预测放射治疗的发病风险
  • 批准号:
    9271942
  • 财政年份:
    2016
  • 资助金额:
    $ 147.71万
  • 项目类别:
Normal Tissue Complication Modeling for Radiotherapy
放射治疗的正常组织并发症建模
  • 批准号:
    7913472
  • 财政年份:
    2009
  • 资助金额:
    $ 147.71万
  • 项目类别:
Normal Tissue Complication Modeling for Radiotherapy
放射治疗的正常组织并发症建模
  • 批准号:
    8204059
  • 财政年份:
    2009
  • 资助金额:
    $ 147.71万
  • 项目类别:
DENOISING ON MONTE CARLO DOSE DISTRIBUTIONS
蒙特卡罗剂量分布去噪
  • 批准号:
    6831637
  • 财政年份:
    2002
  • 资助金额:
    $ 147.71万
  • 项目类别:
DENOISING ON MONTE CARLO DOSE DISTRIBUTIONS
蒙特卡罗剂量分布去噪
  • 批准号:
    6622050
  • 财政年份:
    2002
  • 资助金额:
    $ 147.71万
  • 项目类别:
DENOISING ON MONTE CARLO DOSE DISTRIBUTIONS
蒙特卡罗剂量分布去噪
  • 批准号:
    6438440
  • 财政年份:
    2002
  • 资助金额:
    $ 147.71万
  • 项目类别:

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