外显子组测序
癌症
DNA测序
计算生物学
DNA甲基化
医学
生物信息学
基因组
DNA
生物
内科学
遗传学
基因
突变
基因表达
作者
Qianqian Wang,Ganglei Liu,Chunhong Hu
出处
期刊:Gastroenterology Research
[Elmer Press, Inc.]
日期:2019-01-01
卷期号:12 (6): 275-282
被引量:77
摘要
As one of the leading causes of cancer-related deaths, gastric cancer (GC) has gained more and more attention. Although most GCs are adenocarcinomas, they have considerable heterogeneity among patients. Thus, appropriate classification and individualized treatment of GCs is essential. The traditional morphology-based classification systems including the World Health Organization (WHO) classification and the Laure n's classification have a limited utility in guiding clinical treatment due to the molecular heterogeneity of GC. Classifications based on molecular features become important. Recent years, molecular methods such as next-generation sequencing (NGS) including deoxyribonucleic acid (DNA) sequencing, ribonucleic acid (RNA) sequencing, whole-exome sequencing, copy number variation analysis and DNA methylation arrays have been used to classify the GC into molecular subtypes which can convey more detailed information of tumor than histopathological characteristics. In this review, we described the current molecular classifications of GC including the intrinsic subtypes, Lei subtypes, The Cancer Genome Atlas (TCGA) subtypes, Asian Cancer Research Group (ACRG) subtypes, and some other additional classifications. Gastroenterol Res. 2019;12(6):275-282 doi: https://doi.org/10.14740/gr1187
科研通智能强力驱动
Strongly Powered by AbleSci AI