Cargando…
Construction of a novel exosomes-related gene signature in hepatocellular carcinoma
Background: Exosomes are extracellular vesicles between 40 and 150 nm in diameter and are cargoes for a wide range of small biological molecules. Recent studies have reported that lncRNAs, miRNAs, circRNAs in serum exosomes may serve as biomarkers to predict hepatocellular carcinoma (HCC) prognosis....
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9465081/ https://www.ncbi.nlm.nih.gov/pubmed/36105354 http://dx.doi.org/10.3389/fcell.2022.997734 |
_version_ | 1784787713143078912 |
---|---|
author | Tao, Qiqi Zhu, Kai Zhan, Yating Zhang, Rongrong Lang, Zhichao Yu, Zhengping Wang, Meng |
author_facet | Tao, Qiqi Zhu, Kai Zhan, Yating Zhang, Rongrong Lang, Zhichao Yu, Zhengping Wang, Meng |
author_sort | Tao, Qiqi |
collection | PubMed |
description | Background: Exosomes are extracellular vesicles between 40 and 150 nm in diameter and are cargoes for a wide range of small biological molecules. Recent studies have reported that lncRNAs, miRNAs, circRNAs in serum exosomes may serve as biomarkers to predict hepatocellular carcinoma (HCC) prognosis. However, the prognostic values of exosomes-related mRNAs in HCC are still unclear. Methods: Data of HCC patients were downloaded from The Cancer Genome Atlas (TCGA) database. The serum exosome sequencing data of HCC patients and healthy individuals were obtained from the exobase database. Univariate cox regression analysis was used to identify prognostic exosomes-related genes. LASSO and multivariate cox regression analyses were applied to construct prognostic signature. Results: 22 exosomes-related mRNAs differentially expressed between HCC tissues and normal tissues were identified. Then, 8 prognostic exosomes-related mRNAs were screened. Subsequently, G6PD and ADAMTS5, selected by LASSO and multivariate cox regression analyses, were used to construct a prognostic signature. The patients with high-risk scores had a poor prognosis in TCGA cohort as well as ICGC cohort. Notably, this prognostic signature was also validated in a local cohort collected from the First Affiliated Hospital of Wenzhou Medical University. Receiver Operating Characteristic (ROC) analyses indicated that the signature had a good performance in all the cohorts. The gene set enrichment analysis revealed that this signature was associated with cell cycle and metabolism pathways. Immune infiltration analysis indicated that the patients with high-risk scores had a higher M0 macrophages infiltration. The univariate and multivariate cox regression analyses identified that the risk score is an independent risk factor for HCC. In addition, a nomogram containing age, gender, stage and risk score was constructed to precisely predict HCC prognosis. Conclusion: In conclusion, we develop a novel exosomes-related gene signature that helps to predict HCC prognosis. |
format | Online Article Text |
id | pubmed-9465081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94650812022-09-13 Construction of a novel exosomes-related gene signature in hepatocellular carcinoma Tao, Qiqi Zhu, Kai Zhan, Yating Zhang, Rongrong Lang, Zhichao Yu, Zhengping Wang, Meng Front Cell Dev Biol Cell and Developmental Biology Background: Exosomes are extracellular vesicles between 40 and 150 nm in diameter and are cargoes for a wide range of small biological molecules. Recent studies have reported that lncRNAs, miRNAs, circRNAs in serum exosomes may serve as biomarkers to predict hepatocellular carcinoma (HCC) prognosis. However, the prognostic values of exosomes-related mRNAs in HCC are still unclear. Methods: Data of HCC patients were downloaded from The Cancer Genome Atlas (TCGA) database. The serum exosome sequencing data of HCC patients and healthy individuals were obtained from the exobase database. Univariate cox regression analysis was used to identify prognostic exosomes-related genes. LASSO and multivariate cox regression analyses were applied to construct prognostic signature. Results: 22 exosomes-related mRNAs differentially expressed between HCC tissues and normal tissues were identified. Then, 8 prognostic exosomes-related mRNAs were screened. Subsequently, G6PD and ADAMTS5, selected by LASSO and multivariate cox regression analyses, were used to construct a prognostic signature. The patients with high-risk scores had a poor prognosis in TCGA cohort as well as ICGC cohort. Notably, this prognostic signature was also validated in a local cohort collected from the First Affiliated Hospital of Wenzhou Medical University. Receiver Operating Characteristic (ROC) analyses indicated that the signature had a good performance in all the cohorts. The gene set enrichment analysis revealed that this signature was associated with cell cycle and metabolism pathways. Immune infiltration analysis indicated that the patients with high-risk scores had a higher M0 macrophages infiltration. The univariate and multivariate cox regression analyses identified that the risk score is an independent risk factor for HCC. In addition, a nomogram containing age, gender, stage and risk score was constructed to precisely predict HCC prognosis. Conclusion: In conclusion, we develop a novel exosomes-related gene signature that helps to predict HCC prognosis. Frontiers Media S.A. 2022-08-29 /pmc/articles/PMC9465081/ /pubmed/36105354 http://dx.doi.org/10.3389/fcell.2022.997734 Text en Copyright © 2022 Tao, Zhu, Zhan, Zhang, Lang, Yu and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cell and Developmental Biology Tao, Qiqi Zhu, Kai Zhan, Yating Zhang, Rongrong Lang, Zhichao Yu, Zhengping Wang, Meng Construction of a novel exosomes-related gene signature in hepatocellular carcinoma |
title | Construction of a novel exosomes-related gene signature in hepatocellular carcinoma |
title_full | Construction of a novel exosomes-related gene signature in hepatocellular carcinoma |
title_fullStr | Construction of a novel exosomes-related gene signature in hepatocellular carcinoma |
title_full_unstemmed | Construction of a novel exosomes-related gene signature in hepatocellular carcinoma |
title_short | Construction of a novel exosomes-related gene signature in hepatocellular carcinoma |
title_sort | construction of a novel exosomes-related gene signature in hepatocellular carcinoma |
topic | Cell and Developmental Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9465081/ https://www.ncbi.nlm.nih.gov/pubmed/36105354 http://dx.doi.org/10.3389/fcell.2022.997734 |
work_keys_str_mv | AT taoqiqi constructionofanovelexosomesrelatedgenesignatureinhepatocellularcarcinoma AT zhukai constructionofanovelexosomesrelatedgenesignatureinhepatocellularcarcinoma AT zhanyating constructionofanovelexosomesrelatedgenesignatureinhepatocellularcarcinoma AT zhangrongrong constructionofanovelexosomesrelatedgenesignatureinhepatocellularcarcinoma AT langzhichao constructionofanovelexosomesrelatedgenesignatureinhepatocellularcarcinoma AT yuzhengping constructionofanovelexosomesrelatedgenesignatureinhepatocellularcarcinoma AT wangmeng constructionofanovelexosomesrelatedgenesignatureinhepatocellularcarcinoma |