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讲座预告:贺平安教授谈“Understanding the unimodal distributions of cancer occurrence rates”

来源 : 理学院     作者 : 理学院     时间 : 2020-11-19  访问量 : 233

时间:11月20日(周五)14:00-17:00

地点:勤园21号楼306学术报告厅

主讲人:贺平安,博士,浙江理工大学数学系教授。主要从事生物信息学研究;现为浙江理工大学数学科学系系主任。目前担任浙江省数学学会常务理事、浙江省生物信息学学会副理事长、中国仿真学会青年工作委员会委员;已发表学术论文60余篇;主持和参与各类国家、省部级科研项目12项;合作出版《生物信息学》和《实变函数论》;主持的课题“蛋白序列信息定量描述模型理论方法研究”获2017年浙江省自然科学奖三等奖。

内容简介:Data from the SEER reports reveal that the occurrence rate of a cancer type generally follows a unimodal distribution over age, peaking at an age that is cancer-type specific and ranges from 30+ through 70+. Previous studies attribute such bell-shaped distributions to the reduced proliferative potential in senior years but fail to explain why some cancers have their occurrence peak at 30+ or 40+. We present a computational model to offer a new explanation to such distributions. The model uses two factors to explain the observed age-dependent cancer occurrence rates: cancer risk of an organ and the availability level of the growth signals in circulation needed by a cancer type, with the former increasing and the latter decreasing with age. Regression analyses were conducted of known occurrence rates against such factors for triple negative breast cancer, testicular cancer and cervical cancer; and all achieved highly tight fitting results, which were also consistent with clinical, gene-expression and cancer-drug data.

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