Identification of Novel Cancer Selective Compounds in 3D Tumor Organoid Assays

在 3D 肿瘤类器官检测中鉴定新型癌症选择性化合物

基本信息

  • 批准号:
    7696554
  • 负责人:
  • 金额:
    $ 31.23万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-07-01 至 2014-05-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Breast cancer is a pathologically and genetically heterogeneous disease, reflecting diverse signaling pathways responsible for cancer progression. In vitro models of breast cancer must integrate the complex nature of the disease with culturing methods that closely mimic different clinical types of cancer seen in patients. In 2007, there were more than 178,000 new cases and 40,000 deaths from breast cancer, making it the second leading cause of cancer related death in women and these statistics suggest the need for the development of more effective treatments (American Cancer Society; http://www.cancer.org). Over the past ten years, most advances in chemotherapeutic treatment of breast cancer have involved the optimization of doses and scheduling of standard therapeutics. Several new targeted therapies and biologics have been approved for the treatment of breast cancer; however, many cancers do not respond to or recur even with the ideal drug regimens. Because specific molecular signatures can classify breast cancer into multiple subtypes with distinct clinical characteristics, we can now pursue the development of therapeutics with selectiveness against each individual tumor type. Thus, breast cancer must be considered a multifaceted disease with each subtype offering unique opportunities for chemotherapeutic intervention. We have developed a novel anti-cancer drug discovery screen that encompasses the cellular and genetic diversity of breast cancer. This screen is unique in that it uses murine primary tumor organoids molecularly classified as similar to actual breast cancer subtypes observed in patients. The subtype-specific tumor organoids are screened against a chemical library to identify novel small-molecule anti-cancer compounds. In parallel, the compounds are also screened for their effect on normal primary organoids. Using this screen, we identified a novel small molecule, C-6, that kills primary tumor tissue derived from both mice and humans, and subsequent structure activity relationship analyses revealed the basic pharmacophore of the molecule. Importantly, C-6 exhibits selective cytotoxicity against both basal-like and luminal cancer organoids isolated from mice and human patients, but not organoids isolated from normal mice and human tissue. This compound is structurally novel and may kill tumor cells through a unique mechanism of action. We observed that C-6 delays epithelial cell apoptosis within the lumens of normal mammary organoids; however, it did not affect branching morphogenesis of mammary organoids. The selective cytotoxicity of C-6 combined with its minimal affect on normal biological processes suggests that this compound targets a molecular pathway vital to the homeostasis of breast cancer cells. Thus, the objectives outlined in this proposal will establish the optimal pharmacophore structure of C-6, identify the molecular target(s), and evaluate its biological effects in both tumor and normal cells. PUBLIC HEALTH RELEVANCE: The goal of the proposed research is to determine the optimal pharmacophore structure of a novel anti breast cancer compound called C-6, identify its molecular target, and evaluate its biological activity in both tumor and normal cells using a novel tumor-organoid assay. Our collaborative research plan encompasses both the chemical and biological evaluation of C-6, and may identify a unique molecular pathway that selectively regulates cancer homeostasis.
描述(申请人提供):乳腺癌是一种病理和遗传上的异质性疾病,反映了导致癌症进展的不同信号通路。乳腺癌的体外模型必须将疾病的复杂性质与培养方法结合起来,以密切模拟患者所见的不同临床类型的癌症。2007年,乳腺癌新增病例超过178,000例,死亡40,000例,成为女性癌症相关死亡的第二大原因,这些统计数据表明需要开发更有效的治疗方法(美国癌症协会;http://www.cancer.org).在过去的十年中,乳腺癌化疗的最大进展涉及到标准治疗药物的剂量优化和时间安排。几种新的靶向疗法和生物制剂已被批准用于乳腺癌的治疗;然而,许多癌症即使使用理想的药物方案也没有反应或复发。由于特定的分子标记可以将乳腺癌分为多个具有不同临床特征的亚型,我们现在可以追求针对每一种肿瘤类型的选择性治疗方法的发展。因此,乳腺癌必须被认为是一种多方面的疾病,每种亚型都为化疗干预提供了独特的机会。我们已经开发出一种新的抗癌药物发现屏幕,它包含了乳腺癌的细胞和基因多样性。这种筛查的独特之处在于,它使用了小鼠原发肿瘤器官,分子上分类类似于在患者中观察到的实际乳腺癌亚型。根据化学文库筛选特定亚型的肿瘤有机化合物,以鉴定新的小分子抗癌化合物。同时,还对这些化合物对正常初级有机物的影响进行了筛选。利用这一筛选,我们确定了一种新的小分子C-6,它可以杀死小鼠和人类的原始肿瘤组织,随后的构效关系分析揭示了该分子的基本药效团。重要的是,C-6对从小鼠和人类患者中分离的基底样癌和腔癌类有机物具有选择性细胞毒性,但对从正常小鼠和人类组织中分离的有机类化合物不具有选择性细胞毒性。这种化合物结构新颖,可能通过一种独特的作用机制杀死肿瘤细胞。我们观察到,C-6延缓了正常乳腺器官腔内上皮细胞的凋亡,但不影响乳腺器官的分枝形态发生。C-6的选择性细胞毒性与其对正常生物学过程的最小影响相结合,表明该化合物针对的是对乳腺癌细胞内稳态至关重要的分子途径。因此,本提案中概述的目标将建立C-6的最佳药效团结构,确定分子靶标(S),并评估其在肿瘤和正常细胞中的生物学效应。公共卫生相关性:拟议研究的目标是确定一种名为C-6的新型抗乳腺癌化合物的最佳药效团结构,确定其分子靶标,并使用一种新的肿瘤-有机化合物分析方法评估其在肿瘤和正常细胞中的生物活性。我们的合作研究计划包括对C-6的化学和生物学评估,并可能确定一种独特的分子途径,选择性地调节癌症的稳态。

项目成果

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MATTHEW S SIGMAN其他文献

MATTHEW S SIGMAN的其他文献

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{{ truncateString('MATTHEW S SIGMAN', 18)}}的其他基金

Data Science Guided Organic Reaction Development
数据科学引导有机反应开发
  • 批准号:
    10364757
  • 财政年份:
    2020
  • 资助金额:
    $ 31.23万
  • 项目类别:
Data Science Guided Organic Reaction Development
数据科学引导有机反应开发
  • 批准号:
    10382102
  • 财政年份:
    2020
  • 资助金额:
    $ 31.23万
  • 项目类别:
Data Science Guided Organic Reaction Development
数据科学引导有机反应开发
  • 批准号:
    10594017
  • 财政年份:
    2020
  • 资助金额:
    $ 31.23万
  • 项目类别:
Discovery Based Studies of Medicinally Relevant Pharmacophore Libraries
基于发现的医学相关药效团库研究
  • 批准号:
    7945926
  • 财政年份:
    2010
  • 资助金额:
    $ 31.23万
  • 项目类别:
Discovery Based Studies of Medicinally Relevant Pharmacophore Libraries
基于发现的医学相关药效团库研究
  • 批准号:
    8129740
  • 财政年份:
    2010
  • 资助金额:
    $ 31.23万
  • 项目类别:
Discovery Based Studies of Medicinally Relevant Pharmacophore Libraries
基于发现的医学相关药效团库研究
  • 批准号:
    8272686
  • 财政年份:
    2010
  • 资助金额:
    $ 31.23万
  • 项目类别:
Identification of Novel Cancer Selective Compounds in 3D Tumor Organoid Assays
在 3D 肿瘤类器官检测中鉴定新型癌症选择性化合物
  • 批准号:
    8278689
  • 财政年份:
    2009
  • 资助金额:
    $ 31.23万
  • 项目类别:
Pd-Catalyzed Olefin Functionalization Reactions for Organic Synthesis
Pd 催化的有机合成烯烃官能化反应
  • 批准号:
    7916141
  • 财政年份:
    2009
  • 资助金额:
    $ 31.23万
  • 项目类别:
Identification of Novel Cancer Selective Compounds in 3D Tumor Organoid Assays
在 3D 肿瘤类器官检测中鉴定新型癌症选择性化合物
  • 批准号:
    8082794
  • 财政年份:
    2009
  • 资助金额:
    $ 31.23万
  • 项目类别:
Identification of Novel Cancer Selective Compounds in 3D Tumor Organoid Assays
在 3D 肿瘤类器官检测中鉴定新型癌症选择性化合物
  • 批准号:
    8467688
  • 财政年份:
    2009
  • 资助金额:
    $ 31.23万
  • 项目类别:

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通过美国癌症协会之间的合作提高全国范围内的疫苗接种率
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