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Precancer Atlas of Familial Adenomatous Polyposis

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基本信息

批准号：
10820046
负责人：
JAMES M. FORD
金额：
$ 97.09万
依托单位：
STANFORD UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-04-04 至 2024-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10820046
关键词：
3-Dimensional Atlases Automobile Driving Benign Biological Assay Biology Cancer Etiology Cells Cessation of life Colectomy Collection Colon Colon Adenocarcinoma Colonoscopy Colorectal Colorectal Cancer Communities Computer software Data Data Analyses Data Collection Data Set Deposition Development Dimensions Disease Disease Progression Endoscopy Event Familial Adenomatous Polyposis Syndrome Familial colorectal cancer Funding Genetic Genomics Heterogeneity Hi-C Hospitals Human Image Imaging technology Immune System Diseases Individual Intestines Lesion Malignant Neoplasms Manuscripts Maps Medical Medical Records Metadata Methylation Modeling Molecular Mucous Membrane Mutation Operative Surgical Procedures Organoids Paper Patients Persons Pilot Projects Polyps Precancerous Polyp Proteins Proteome Proteomics Protocols documentation Publications Publishing RNA Sampling Serum Technology Testing Text Tissue Sample Tissues United States Visit Whole Blood Work biobank colon microbiome cytokine data submission epigenomics experimental study follow-up genome sequencing lipidome lipidomics metabolome metabolomics microbiome molecular imaging multiple omics polyposis predictive modeling premalignant prophylactic recruit single cell sequencing single nucleus RNA-sequencing spatiotemporal transcriptome transcriptomics tumor tumor progression tumor-immune system interactions whole genome

项目摘要

Project Summary We are building a Precancer Atlas of colorectal cancer from Familial Adenomatous Polyposis (FAP) patients. We have built a biobank containing thousands of samples from 78 donors. We have applied genomic, epigenomic, proteomic, lipidomic, metabolomic, transcriptomic, and spatial assays to characterize the molecular changes occurring during the progression from normal mucosa to cancer. We propose to use an integrated approach to further develop our Precancer Atlas. By profiling multiple polyps from the same patient, our Precancer Atlas enables characterization of the early events driving colorectal cancer. We will: 1) Complete procurement of longitudinal tissue samples from 100 donors during surveillance colonoscopy and during prophylactic surgical colectomy, including whole blood, serum, normal colonic tissue, colon microbiome, benign pre-cancerous polyps, dysplastic precancerous polyps and colon adenocarcinomas. The material will be used for our own center and will also be available to the Human Tumor Atlas Network (HTAN). Medical records, longitudinal samples and all relevant metadata will also be collected. 2) Characterize the tissue samples with state-of-the-art omics and imaging technologies. 3) Integrate results from -omics, imaging and medical information, to build a spatiotemporal, multidimensional, integrative multi-omics cancer atlas, and develop longitudinal and predictive models for PreCancer biology and progression. 4) Complete our establishment of multi-omics technologies, finishing our CODEX, snRNA-seq and organoid profiling. 5) Complete the publication of our “multiscale deep data analysis” on a large number of samples from a few people. Use this information to guide additional data collection, including our follow- up snRNA-seq experiments and our hypothesis-testing experiments in organoid models. 6) Identify factors (e.g. germline genetics, immune dysfunction) contributing to polyp heterogeneity and build disease progression models based on these data. 7) Make all biospecimens, information, protocols and software available to the PCA, HTAN and the general scientific community.

项目总结