Exosome-related lncRNA score: A value-based individual treatment strategy for predicting the response to immunotherapy in clear cell renal cell carcinoma

doi:10.1002/cam4.7308

科研成果详情

题名	Exosome-related lncRNA score: A value-based individual treatment strategy for predicting the response to immunotherapy in clear cell renal cell carcinoma
作者	Yang, Zhan 1; Zhang, Xiaoting 2; Zhan, Ning 2; Lin, Lining 2; Zhang, Jingyu 2; Peng, Lianjie 2; Qiu, Tao 2; Luo, Yaxian 2; Liu, Chundi 2; Pan, Chaoran1; Hu, Junhao 1; Ye, Yifan 1; Jiang, Zilong1; Liu, Xinyu 1; Sun, Mouyuan 2; Zhang, Yan 1
发表日期	2024-06
发表期刊	CANCER MEDICINE 影响因子和分区
语种	英语
原始文献类型	Article
关键词	ceRNA network clear cell renal cell carcinoma exosome lncRNA machine learning precision medicine tumor microenvironment
其他关键词	NONCODING RNAS ; EMERGING ROLE ; CANCER ; MICROENVIRONMENT ; THERAPY
摘要	Background: Exosomes play a crucial role in intercellular communication in clear cell renal cell carcinoma (ccRCC), while the long non-coding RNAs (lncRNAs) are implicated in tumorigenesis and progression. Aims: The purpose of this study is to construction a exosomes-related lncRNA score and a ceRNA network to predict the response to immunotherapy and potential targeted drug in ccRCC. Methods: Data of ccRCC patients were obtained from the TCGA database. Pearson correlation analysis was used to identify eExosomes-related lncRNAs (ERLRs) from Top10 exosomes-related genes that have been screened. The entire cohort was randomly divided into a training cohort and a validation cohort in equal scale. LASSO regression and multivariate cox regression was used to construct the ERLRs-based score. Differences in clinicopathological characteristics, immune microenvironment, immune checkpoints, and drug susceptibility between the high- and low-risk groups were also investigated. Finally, the relevant ceRNA network was constructed by machine learning to analyze their potential targets in immunotherapy and drug use of ccRCC patients. Results: A score consisting of 4ERLRs was identified, and patients with higher ERLRs-based score tended to have a worse prognosis than those with lower ERLRs-based score. ROC curves and multivariate Cox regression analysis demonstrated that the score could be considered as a risk factor for prognosis in both training and validation cohorts. Moreover, patients with high scores are predisposed to experience poor overall survival, a larger prevalence of advanced stage (III-IV), a greater tumor mutational burden, a higher infiltration of immunosuppressive cells, and a greater likelihood of responding favorably to immunotherapy. The importance of EMX2OS was determined by mechanical learning, and the ceRNA network was constructed, and EMX2OS may be a potential therapeutic target, possibly exerting its function through the EMX2OS/hsa-miR-31-5p/TLN2 axis. Conclusions: Based on machine learning, a novel ERLRs-based score was constructed for predicting the survival of ccRCC patients. The ERLRs-based score is a promising potential independent prognostic factor that is closely correlated with the immune microenvironment and clinicopathological characteristics. Meanwhile, we screened out key lncRNAEMX2OS and identified the EMX2OS/hsa-miR-31-5p/TLN2 axis, which may provide new clues for the targeted therapy of ccRCC.
资助项目	China Postdoctoral Science Foundation
出版者	WILEY
ISSN	2045-7634
卷号	13 期号:11
DOI	10.1002/cam4.7308
页数	18
WOS类目	Oncology
WOS研究方向	Oncology
WOS记录号	WOS:001234710300001
收录类别	SCIE ; SCOPUS ; PUBMED
URL	查看原文
PubMed ID	38808948
SCOPUSEID	2-s2.0-85194858622
通讯作者地址	[Zhang, Yan]Wenzhou Med Univ, Dept Urol, Affiliated Hosp 1, Wenzhou 325015, Zhejiang, Peoples R China. ; [Sun, Mouyuan]Zhejiang Univ, Canc Ctr Zhejiang Univ, Stomatol Hosp, Zhejiang Prov Clin Res Ctr Oral Dis,Sch Stomatol,S, Hangzhou 310000, Zhejiang, Peoples R China.
Scopus学科分类	Oncology;Radiology, Nuclear Medicine and Imaging;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/214631
专题	附属第一医院_泌尿外科
通讯作者	Sun, Mouyuan; Zhang, Yan
作者单位	1.Wenzhou Med Univ, Dept Urol, Affiliated Hosp 1, Wenzhou 325015, Zhejiang, Peoples R China; 2.Zhejiang Univ, Canc Ctr Zhejiang Univ, Stomatol Hosp, Zhejiang Prov Clin Res Ctr Oral Dis,Sch Stomatol,S, Hangzhou 310000, Zhejiang, Peoples R China
第一作者单位	附属第一医院_泌尿外科
通讯作者单位	附属第一医院_泌尿外科
第一作者的第一单位	附属第一医院_泌尿外科
推荐引用方式 GB/T 7714	Yang, Zhan,Zhang, Xiaoting,Zhan, Ning,et al. Exosome-related lncRNA score: A value-based individual treatment strategy for predicting the response to immunotherapy in clear cell renal cell carcinoma[J]. CANCER MEDICINE,2024,13(11).
APA	Yang, Zhan., Zhang, Xiaoting., Zhan, Ning., Lin, Lining., Zhang, Jingyu., ... & Zhang, Yan. (2024). Exosome-related lncRNA score: A value-based individual treatment strategy for predicting the response to immunotherapy in clear cell renal cell carcinoma. CANCER MEDICINE, 13(11).
MLA	Yang, Zhan,et al."Exosome-related lncRNA score: A value-based individual treatment strategy for predicting the response to immunotherapy in clear cell renal cell carcinoma".CANCER MEDICINE 13.11(2024).