摘要
从分子层面对泛癌进行研究已经得到了很大的进展,但是对宫颈鳞状细胞癌的分子分类研究仍然需要更多的探索.为了找到宫颈鳞状细胞癌潜在的子类,本文提出了一个基于多维组学数据的癌症亚型分类分析流程.通过统计学方法对癌症基因组图谱(The Cancer Genome Atlas,TCGA)宫颈鳞状细胞癌的mRNA表达数据、小分子核糖核酸(microRNA,miRNA)表达数据、DNA甲基化数据以及拷贝数变异数据4个维度包含的分子进行筛选,然后对筛选后的分类特征进行整合聚类,进一步筛选能够区分不同子类的关键分类特征,并使用这些关键分类特征建立宫颈鳞状细胞癌分类模型.本研究为宫颈鳞状细胞癌分子层面子类的识别提供了分析流程,得到了两个临床生存水平具有显著性差异的宫颈鳞状细胞癌子类,并确定了8个宫颈鳞状细胞癌的关键分类特征.本研究中识别的宫颈鳞状细胞癌子类和关键分类特征为宫颈鳞状细胞癌早期分类及分类标志物的鉴定提供了重要参考.
Molecular classification of cancer is the current frontier of cancer omics and tumor precision medicine.Although great progress has been made in molecular analysis of whole cancer,the molecular classification of cervical squamous cell carcinoma still needs more exploration.In order to find the potential subtypes of cervical squamous cell carcinoma,this paper proposed a data processing and analysis process based on the classification of cancer subtypes based on multi-omics data.Specifically,we analyzed mRNA,and microRNA(miRNA)expression data,as well as DNA methylation and copy number variation in cervical squamous cell carcinoma cases,using datasets obtained from The Cancer Genome Atlas(TCGA).Moreover,we identified molecules in each dimension,as well as integrated and clustered filtered classification features,and used them to distinguish different subtypes.The resulting key classification features were used to establish a classification model for cervical squamous cell carcinoma.The resulting key classification features were used to establish a classification model for cervical squamous cell carcinoma.Our results revealed two cervical squamous cell carcinoma subtypes,with significant differences across clinical survival levels,as well as 8 key classification features of cervical squamous cell carcinomas.These findings are expected to provide important references for early classification of cervical squamous cell carcinoma and identification of classification markers.
作者
王晓曦
李晓琴
曹阿成
侯智超
高斌
WANG Xiao-Xi;LI Xiao-Qin;CAO A-Cheng;HOU Zhi-Chao;GAO Bin(Faculty of Environment and Life of Beijing University of Technology,Beijing 100124,China)
出处
《生物化学与生物物理进展》
SCIE
CAS
CSCD
北大核心
2021年第10期1233-1242,共10页
Progress In Biochemistry and Biophysics
基金
国家自然科学基金(61931013)
国家科技部重点研发项目(2017YFC0111104)资助。
关键词
多基因组学
亚型分类
宫颈鳞状细胞癌
癌症早期
multi-omics
subtype classification
cervical squamous cell carcinoma
early stage of cancer
