基因组大数据解析肿瘤演化的时空动态性
时间：2022-04-13
阅读量：458次
- 演讲人： 胡政（中科院深圳先进技术研究院 研究员）
- 时间：2022年04月28日 周四 15:00（北京时间）
- 地点：腾讯会议 354-444-305
- 主办单位：数据科学研究中心
摘要：Understanding the evolutionary dynamics of tumor that are operative at different stages of progression informs the earlier detection, diagnosis, and treatment. We recently developed a spatial tumor growth model that allows us to quantitatively investigate the evolutionary dynamics of intra-tumor genetic heterogeneity during tumor growth and metastasis. By computational modeling of metastatic dissemination and genomic data analysis in a large cohort of paired primary tumors and metastases, we are able to quantify the timing of metastatic seeding and also the mode of tumor evolution. Our quantitative analyses revealed that metastatic dissemination in multiple cancers (including colorectal, breast and lung) commonly occur early as several years (typically 2-4 years) before detection of primary tumor, a time when the primary tumor is often clinically undetectable. Our results provide strong quantitative evidence for early metastatic spread with implications for the approach to systemic therapy in early-stage disease.
个人简介：胡政 ，中科院深圳先进技术研究院研究员，博士生导师，中心副主任。2010 年在华中科技大学获得生物医学工程学士学位；2015 年在中科院北京基因组研究所获得遗传学博士学位；2015-2020 年在斯坦福大学医学院从事博士后研究；2020年回国建立实验室。实验室主要结合多组学数据分析、单细胞谱系追踪和数学建模研究肿瘤的动态演化。入选中科院百人计划、广东省杰青等人才项目。近年来，第一作者/ 通讯作者论文发表于 Nature Genetics（3 篇）, PNAS，Nature Communications，PLoS Genetics等国际期刊。
联系人：蒋杭进（jianghj@zju.edu.cn）
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