一种肿瘤甲基化谱纯化的统计方法  

A statistical method to purify tumor methylomes based on tumor purity

作　　者：朱宜静 聂亚婷 魏娜娜 郑小琪[1] ZHU Yijing;NIE Yating;WEI Nana;ZHENG Xiaoqi(Mathematics and Science College,Shanghai Normal University,Shanghai 200234,China)

机构地区：[1]上海师范大学数理学院,上海200234

出　　处：《上海师范大学学报（自然科学版）》2022年第3期334-340,共7页Journal of Shanghai Normal University(Natural Sciences)

基　　金：国家自然科学基金面上项目(61972257)。

摘　　要：肿瘤组织的高度异质性是癌症基因组学研究的一个重要课题.在临床实验中获得的肿瘤样本的甲基化谱通常是来自不同成分的混合信号,如癌细胞(cancer cells)、正常细胞(normal cells)、基质(stromal)和免疫浸润细胞(immune cells).其中正常细胞的混合被认为是许多下游分析的主要混淆因素,忽视或不恰当地考虑肿瘤纯度可能会导致DNA甲基化分析出现偏差或错误的结果,因此建立合适的统计模型修正肿瘤纯度至关重要.文章开发了一个线性统计模型InfiniumPurifyMT,基于肿瘤样本、邻近正常样本和肿瘤纯度得到纯化的肿瘤甲基化谱.Due to the high heterogeneity of tumor tissue,methylation profiles of tumor samples obtained in clinical experiments are always mixture signals from different components,including cancer,normal and stromal cells,etc.Among them,the admixture of normal cells is deemed as a major confounding factor for many downstream analyses.It is crucial to develop an appropriate statistical model to decompose the tumor tissue for retrieving the methylation profile of pure cancer samples.Thus,we present a new method of methylome purification InfiniumPurifyMT,which decomposes regression residual into cancer and normal cells based on their proportions in tumor samples.

关 键 词：肿瘤纯度 肿瘤纯化 DNA甲基化 富集分析 肿瘤异质性 

分 类 号：O29[理学—应用数学]