中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 计算技术研究所
  3. 中国科学院计算技术研究所
  4. 中国科学院计算技术研究所期刊论文
Cross Analysis of Genomic-Pathologic Features on Multiple Primary Hepatocellular Carcinoma

文献类型：期刊论文

作者Ren, Fei4; Wang, Depin4; Zhang, Xueyuan3,4; Zhao, Na3; Wang, Xiaowen3; Zhang, Yu2; Li, Li1
刊名FRONTIERS IN GENETICS
出版日期2022-06-20
卷号13页码:9
关键词hepatocellular carcinoma whole exome sequencing whole slide images molecular profiling and subtyping hepatitis B virus
DOI10.3389/fgene.2022.846517
英文摘要Hepatocellular carcinoma (HCC) is a prevalent malignancy cancer worldwide with a poor prognosis. Hepatic resection is indicated as a potentially curative option for HCC patients in the early stage. However, due to multiple nodules, it leads to clinical challenges for surgical management. Approximately 41%-75% of HCC cases are multifocal at initial diagnosis, which may arise from multicentric occurrence (MO-HCC) or intrahepatic metastasis (IM-HCC) pattern with significantly different clinical outcomes. Effectively differentiating the two mechanisms is crucial to prioritize the allocation of surgery for multifocal HCC. In this study, we collected a multifocal hepatocellular carcinoma cohort of 17 patients with a total of 34 samples. We performed whole-exome sequencing and staining of pathological HE sections for each lesion. Reconstruction of the clonal evolutionary pattern using genome mutations showed that the intrahepatic metastogenesis pattern had a poorer survival performance than independent origins, with variants in the TP53, ARID1A, and higher CNV variants occurring more significantly in the metastatic pattern. Cross-modality analysis with pathology showed that molecular classification results were consistent with pathology results in 70.6% of patients, and we found that pathology results could further complement the classification for undefined patterns of occurrence. Based on these results, we propose a model to differentiate the pattern of multifocal hepatocellular carcinoma based on the pathological results and genome mutations information, which can provide guidelines for diagnosing and treating multifocal hepatocellular carcinoma.
资助项目National Key Research and Development Program of China[2021YFF1201005] ; Beijing Xisike Clinical Oncology Research Foundation[Y-HS2019-33] ; Beijing Xisike Clinical Oncology Research Foundation[Y-BMS2019-015] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA16021400] ; Informatization Plan of Chinese Academy of Sciences[CAS-WX2021SF-0101]
WOS研究方向Genetics & Heredity
语种英语
WOS记录号WOS:000890946500001
出版者FRONTIERS MEDIA SA
源URL[http://119.78.100.204/handle/2XEOYT63/20251]  
专题中国科学院计算技术研究所期刊论文
通讯作者Zhang, Yu; Li, Li
作者单位1.Peking Univ Int Hosp, Dept Oncol, Beijing, Peoples R China
2.Peking Univ Third Hosp, Dept Med Oncol & Radiat Sickness, Beijing, Peoples R China
3.Zhijian Life Co Ltd, Beijing, Peoples R China
4.Chinese Acad Sci, High Performance Comp Res Ctr, Inst Comp Technol, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Ren, Fei,Wang, Depin,Zhang, Xueyuan,et al. Cross Analysis of Genomic-Pathologic Features on Multiple Primary Hepatocellular Carcinoma[J]. FRONTIERS IN GENETICS,2022,13:9.
APA Ren, Fei.,Wang, Depin.,Zhang, Xueyuan.,Zhao, Na.,Wang, Xiaowen.,...&Li, Li.(2022).Cross Analysis of Genomic-Pathologic Features on Multiple Primary Hepatocellular Carcinoma.FRONTIERS IN GENETICS,13,9.
MLA Ren, Fei,et al."Cross Analysis of Genomic-Pathologic Features on Multiple Primary Hepatocellular Carcinoma".FRONTIERS IN GENETICS 13(2022):9.

入库方式： OAI收割

来源：计算技术研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。