[口头报告]基于多组学数据系统性地鉴定肿瘤靶标

基于多组学数据系统性地鉴定肿瘤靶标
口头报告

报告开始:5月14日 16:30:00 (Asia/Shanghai)

报告时间:15min

所在会议:[S2] 分会场二 [S2-2] 高通量测序与生命组学大数据

摘要
By combining 6 druggable genome resources, we identify 6,083 genes as potential druggable genes (PDGs). We characterize their expression, recurrent genomic alterations, cancer dependencies, and therapeutic potentials by integrating genome, functionome, and druggome profiles across cancers. 81.5% of PDGs are reliably expressed in major adult cancers, 46.9% show selective expression patterns, and 39.1% exhibit at least one recurrent genomic alteration. We annotate a total of 784 PDGs as dependent genes for cancer cell growth. We further quantify 16 cancer-related features and estimate a PDG cancer drug target score (PCDT score). PDGs with higher PCDT scores are significantly enriched for genes encoding kinases and histone modification enzymes. Importantly, we find that a considerable portion of high PCDT score PDGs are understudied genes, providing unexplored opportunities for drug development in oncology. By integrating the druggable genome and the cancer genome, our study thus generates a comprehensive blueprint of potential druggable genes across cancers.
报告人
袁姣
研究员 广州实验室

袁姣,广州实验室预防预警研究部研究员。博士毕业于中国科学院生物物理研究所,之后在美国宾夕法尼亚大学医学院从事博士后研究工作,基于体内外多组学数据解析了肿瘤异质性、鉴定了肿瘤药物的分子标志物以及提出了全新的靶向治疗和免疫治疗的靶标基因。迄今为止,袁姣博士共发表SCI论文28篇,引用超过2400次,H因子19,其中代表作发表于Cancer Cell、Nature Cancer、Cancer Research、Nucleic Acids Research、Cell Reports、Bioinformatics等杂志。