题名 | Machine learning integrations develop an antigen-presenting-cells and T-Cells-Infiltration derived LncRNA signature for improving clinical outcomes in hepatocellular carcinoma |
作者 | |
发表日期 | 2023-03-28 |
发表期刊 | BMC cancer 影响因子和分区 |
语种 | 英语 |
原始文献类型 | Journal Article ; Article |
关键词 | Hepatocellular carcinoma LncRNA signature Machine learning Prognosis T cell infiltration |
其他关键词 | THERAPY |
摘要 | As a highly heterogeneous cancer, the prognostic stratification and personalized management of hepatocellular carcinoma (HCC) are still challenging. Recently, Antigen-presenting-cells (APCs) and T-cells-infiltration (TCI) have been reported to be implicated in modifying immunology in HCC. Nevertheless, the clinical value of APCs and TCI-related long non-coding RNAs (LncRNAs) in the clinical outcomes and precision treatment of HCC is still obscure. In this study, a total of 805 HCC patients were enrolled from three public datasets and an external clinical cohort. 5 machine learning (ML) algorithms were transformed into 15 kinds of ML integrations, which was used to construct the preliminary APC-TCI related LncRNA signature (ATLS). According to the criterion with the largest average C-index in the validation sets, the optimal ML integration was selected to construct the optimal ATLS. By incorporating several vital clinical characteristics and molecular features for comparison, ATLS was demonstrated to have a relatively more significantly superior predictive capacity. Additionally, it was found that the patients with high ATLS score had dismal prognosis, relatively high frequency of tumor mutation, remarkable immune activation, high expression levels of T cell proliferation regulators and anti-PD-L1 response as well as extraordinary sensitivity to Oxaliplatin/Fluorouracil/Lenvatinib. In conclusion, ATLS may serve as a robust and powerful biomarker for improving the clinical outcomes and precision treatment of HCC. |
资助项目 | Zhejiang Provincial Medical and Health Planning Project [2023KY898] ; Zhejiang Provincial Research Centre for Diagnosis and Treatment of Critical Liver and Biliary Diseases (Minimally Invasive) ; Zhejiang Provincial Natural Science Foundation [LY19H030006] ; Zhejiang Medical Association Foundation [2009ZYC15] ; Wenzhou Science and technology program [2021Y1413] |
出版者 | BMC |
ISSN | 1471-2407 |
EISSN | 1471-2407 |
卷号 | 23期号:1 |
DOI | 10.1186/s12885-023-10766-w |
页数 | 16 |
WOS类目 | Oncology |
WOS研究方向 | Oncology |
WOS记录号 | WOS:001033026600005 |
收录类别 | SCIE ; PUBMED ; SCOPUS |
URL | 查看原文 |
Pubmed记录号 | 36978017 |
Scopus记录号 | 2-s2.0-85151383636 |
通讯作者地址 | [Zheng, Jianjian]Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province,The First Affiliated Hospital of Wenzhou Medical University,No.2 Fuxue Lane, Zhejiang,Wenzhou,China ; [Yu, Zhengping]Department of Hepatobiliary Surgery,The First Affiliated Hospital of Wenzhou Medical University,No.2 Fuxue Lane, Zhejiang,Wenzhou,China |
scopus学科分类 | Oncology;Genetics;Cancer Research |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://kms.wmu.edu.cn/handle/3ETUA0LF/174172 |
专题 | 第一临床医学院(信息与工程学院)、附属第一医院_精准医学中心实验室 附属第一医院_肝胆外科 |
通讯作者 | Zheng, Jianjian; Yu, Zhengping |
作者单位 | 1.Zhejiang Provincial Key Laboratory for Accurate Diagnosis and Treatment of Chronic Liver Diseases,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,325000,China; 2.Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province,The First Affiliated Hospital of Wenzhou Medical University,No.2 Fuxue Lane, Zhejiang,Wenzhou,China; 3.Department of Hepatobiliary Surgery,The First Affiliated Hospital of Wenzhou Medical University,No.2 Fuxue Lane, Zhejiang,Wenzhou,China |
第一作者单位 | 附属第一医院; 第一临床医学院(信息与工程学院)、附属第一医院 |
通讯作者单位 | 附属第一医院; 第一临床医学院(信息与工程学院)、附属第一医院 |
第一作者的第一单位 | 附属第一医院 |
推荐引用方式 GB/T 7714 | Wang, Xiaodong,Chen, Ji,Lin, Lifan,et al. Machine learning integrations develop an antigen-presenting-cells and T-Cells-Infiltration derived LncRNA signature for improving clinical outcomes in hepatocellular carcinoma[J]. BMC cancer,2023,23(1). |
APA | Wang, Xiaodong., Chen, Ji., Lin, Lifan., Li, Yifei., Tao, Qiqi., ... & Yu, Zhengping. (2023). Machine learning integrations develop an antigen-presenting-cells and T-Cells-Infiltration derived LncRNA signature for improving clinical outcomes in hepatocellular carcinoma. BMC cancer, 23(1). |
MLA | Wang, Xiaodong,et al."Machine learning integrations develop an antigen-presenting-cells and T-Cells-Infiltration derived LncRNA signature for improving clinical outcomes in hepatocellular carcinoma".BMC cancer 23.1(2023). |
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