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Transition to Metastatic State: Lung Cancer, Pancreatic Cancer and Brain Metastasis

向转移状态的转变：肺癌、胰腺癌和脑转移

基本信息

批准号：
10001468
负责人：
Christine A Iacobuzio-Donahue
金额：
$ 266.56万
依托单位：
SLOAN-KETTERING INST CAN RESEARCH
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-30 至 2023-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10001468
关键词：
3-Dimensional Address Architecture Atlases Autopsy Biopsy Brain Cancer Etiology Cells Cerebrospinal Fluid Cessation of life Clinical Clinical Data Clinical Management Communities Complex DNA sequencing Data Data Analyses Data Set Development Disseminated Malignant Neoplasm Excision Functional disorder Genomics Goals Human Immunity In Situ Liver Lung Lung Adenocarcinoma Malignant Neoplasms Malignant neoplasm of brain Malignant neoplasm of lung Malignant neoplasm of pancreas Maps Metastatic Neoplasm to the Central Nervous System Metastatic Neoplasm to the Lung Metastatic malignant neoplasm to brain Metastatic to Methods Modeling Molecular Neoplasm Metastasis Nuclear RNA Operative Surgical Procedures Pancreas Patients Peritoneum Primary Neoplasm Process Production Proteins Protocols documentation RNA Reagent Sampling Site Solid Neoplasm Specimen Survival Rate System Technology Therapeutic Intervention Time Tissues Whole Organism Work anticancer research cancer cell computer infrastructure human tissue lung small cell carcinoma mortality multidisciplinary panacea pancreatic neoplasm spatiotemporal temporal measurement therapeutic target transcriptome sequencing tumor

项目摘要

PROJECT SUMMARY (Overall Unit) Metastasis embodies the dynamic, complex, whole-organism pathophysiology of cancer. Spread of cancer cells beyond the primary tumor site is the cause of the majority of cancer deaths and the most overt expression of cancer's complex evolutionary dynamics. Intimately related to the intricate processes of development and immunity, the transition from locally invasive to metastatic cancer poses a major scientific hurdle. Recent technological and computational advancements, pioneered by our team enable dynamic, multi-dimensional, multi-planar analysis of multiple tissues. Applying these advances to the most lethal cancers in the US: Lung Cancer, Pancreatic Cancer and CNS metastases, we will generate a Human Tissue Atlas with unprecedented spatial-temporal resolution. This multidisciplinary effort begins with an unparalleled array of human tissues and clinical data acquired by our Biospecimen Unit team. These high-quality biospecimens will be obtained from lung cancer, pancreatic cancer and CNS metastases obtained from surgical resections, biopsy or autopsy. The Data Analysis Unit will then subject these specimens will be subjected to multi-dimensional analysis including bulk DNA sequencing, single cell and single nuclear RNA sequencing, as well as architecturally- sensitive analyses including MIBI (protein) and MERFISH (RNA) technologies. Driven by revolutionary computational and systems biologists, integration and presentation of these datasets will be undertaken by the Characterization Unit, with the goal of generating authoritative human tumor atlases of value to the entire cancer research community.

项目总结（整体单元）