报告题目：A Hierarchical Multi-Omics Prognostic Model Reveals the Relevance of Human Papillomavirus to Prostate Cancer

报告人：Zhenyu Jia（贾震宇）, Associate Professor at University of California, Riverside

报告时间：2023年7月7日（周五）上午10:30-11:30

报告地点：一综B113会议室

联系人：胡学海

报告人简介：贾震宇教授本科就读于武汉大学生命科学学院生物化学专业。2006年于加州大学河滨分校同时取得统计学硕士和遗传-基因组-生物信息联合学科博士。先后就职于加州大学尔湾分校病理系、阿克伦大学统计系和俄亥俄西北医科大学医学系，从事包括前列腺癌在内的多种疾病的研究以及在生物统计和生物信息学科的教学工作。现受聘为加州大学河滨分校植物科学系数量遗传学教授。贾老师目前的研究工作包括基因组选择方法在作物育种和癌症预后中的应用；单倍型在全基因组关联分析中的应用；各类肿瘤诊断和预后多组学标记物的筛查和验证。先后在国际知名杂志发表SCI论文近80篇。每年在国际植物动物基因组大会上组织并主持统计基因组的研讨会。

报告摘要：The lack of effective tests to assist in selecting appropriate treatments according to the disease state of prostate cancer patients is a major issue, leading to the problem of overtreatment. To overcome this challenge, we have created a directed learning approach, 2LHLASSO, that hierarchically integrates multi-omics predictors establishing links with prostate cancer outcomes. This approach has established a network of multi-omics factors that may co-drive cancer progression. Our bioinformatics analysis revealed that a subset of prostate cancers may be caused by human papillomavirus (HPV). Our analysis of RNA-seq data from an independent prostate cancer cohort (100 patients) provided additional support for the finding that genes affected by HPV infection.