TRD 1 - Imaging Cancer Heterogeneity

项目摘要 TRD 1：影像肿瘤异质性 精准医学是一种范式转变，个性化治疗方法是基于 个体的基因型别和表型。虽然将治疗剂与基因相匹配是很重要的 对于肿瘤的构成，需要新的策略来检测和最佳地表征肿瘤的成像表型 并最终确定肿瘤/无肿瘤边界，以优化针对患者的治疗。因此， 成像在评估肿瘤异质性和准确描述需要的患者中的作用 最终的治疗是至关重要的。利用图像制导技术精确绘制肿瘤细胞成分图 脑、前列腺和妇科肿瘤负荷的3D成像是确定肿瘤特征的最好方法 指导临床诊疗。 肿瘤异质性成像研究的目标是开发和验证分子、微观和 描述肿瘤宏观和微观环境的宏观成像技术， 肿瘤的异质性和肿瘤体积，并提高风险评估，以指导癌症的精准治疗。 虽然最初的研究将集中在脑、前列腺和妇科肿瘤上，但我们设想了这项技术 从这项TRD得出的结果将广泛适用于各种癌症。因此，我们的目标是 旨在提供新的和详细的肿瘤异质性图谱，并使用质量确定肿瘤边界 光谱成像(MSI)与组织病理学和多参数MRI技术相关。

Project Summary TRD 1: Imaging Cancer Heterogeneity Precision medicine is a paradigm shift whereby personalized treatment approaches are based on knowledge of an individual’s genotype and phenotype. While it is important to match the therapeutic agents to the genetic makeup of a tumor, new strategies are needed to detect and optimally characterize the imaging phenotype of tumors and definitively determine the tumor/no tumor borders to optimize patient-specific treatments. As such, the role of imaging in assessing tumor heterogeneity and accurately characterizing those who will require definitive therapy is critical. Using image guidance for precise mapping of tumor cell composition and accurate 3D mapping of brain, prostate, and gynecological tumor burden is the best approach to characterizing tumors and guiding clinical management at diagnosis. The goal of the Imaging Cancer Heterogeneity TRD is to develop and validate molecular, micro- and macroscale imaging technologies to characterize the macroscopic and microscopic environment of tumors, tumor heterogeneity and tumor volume, and improve risk assessment to guide the precise treatment of cancer. While the initial studies will focus on brain, prostate, and gynecological neoplasms, we envision the technology and findings derived from this TRD will be broadly applicable to a variety of cancers. Hence, the aims are designed to provide novel and detailed mapping of tumor heterogeneity and define tumor borders using mass spectrometry imaging (MSI) correlated with histopathology and multiparametric MRI technologies.