报告题目：Multicellular Network-based Survival Models for Drug Resistance and Predicting Patient Survival

主 讲 人：邵永照 教授（New York University , USA）

报告时间：2022年2月16日9:00-10:00

报告地点：腾讯会议 会议 ID：773-524-497

点击链接入会：https://meeting.tencent.com/dm/5s2t2VcpdiLX

报告摘要：

Recent advances in immunotherapies have saved many lives of patients with late-stage cancers. However, currently, only a portion of patients have durable responses to these treatments as drug resistance still exists widely when treating many cancers. An important task in cancer precision medicine is to build effective statistical models to predict which patient will likely respond to the given therapy and with long survival or who will experience treatment resistance with short survival. As is we11 known, interactions of tumor cells and immune cells in the tumor-associated microenvironment plays an important role in tumor progression and drug resistance. We have developed a multicellular gene network approach aimed at investigating the prognostic role of interactions between tumor cells and macrophage cells in tumor progression and drug resistance in advanced brain tumors (gliomas). Multicellular gene networks connecting macrophages and tumor cells were constructed from samples of RNA-seq data in mice gliomas treated with BLZ945. Subsequently translated into human gliomas and a differential network-based Cox regression model was built to identify a risk signature using a cohort of 310 glioma samples. A large independent validation set of 690 glioma samples from The Cancer Genome Atlas (TCGA) database was used to test the prognostic significance and accuracy of the gene signatures in predicting survival of glioma patients. Limitations of our approach and the data sets used as well as remaining challenges and possible further research directions will be discussed. The talk is based on joint work Drs. Xiaoqiang Sun and Xinwei He at Zhangshan University School of Medicine and Yuting Lu of New York University School of Medicine.

主讲人简介：

邵永照，北京师范大学81级数学本科，85级概率统计研究生。1987-1990年在北京大学医学部担任生物统计学助理教授；后赴美国留学. 博士毕业后，1994-2002,在哥伦比亚大学任统计学助理教授和副教授。2003年加盟纽约大学医学院，为纽约大学医学院公共卫生，环境医学和生物统计终身教授。主要从事统计学方法、统计推断，临床试验设计、遗传流行病学、风险预测模型，高维数据分析，遗传统计学及生物信息学等方面的研究，在主流学术期刊上发表论文200余篇。当选为American Statistical Association（ASA）Fellow；曾任多个统计学与医学前沿期刊的编委，包括Journal of the American Statistical Association (JASA) 等。

邀请人：何勇

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