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Identification and Validation of an Immune-related Prognostic Signature for Hepatocellular Carcinoma
BACKGROUND AND AIMS: The immune system plays vital roles in hepatocellular carcinoma (HCC) initiation and progression. The present study aimed to construct an immune-gene related prognostic signature (IRPS) for predicting the prognosis of HCC patients. METHODS: Gene expression data were retrieved fr...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
XIA & HE Publishing Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666365/ https://www.ncbi.nlm.nih.gov/pubmed/34966643 http://dx.doi.org/10.14218/JCTH.2021.00017 |
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author | Xia, Xinxin Tang, Ping Liu, Hui Li, Yuejun |
author_facet | Xia, Xinxin Tang, Ping Liu, Hui Li, Yuejun |
author_sort | Xia, Xinxin |
collection | PubMed |
description | BACKGROUND AND AIMS: The immune system plays vital roles in hepatocellular carcinoma (HCC) initiation and progression. The present study aimed to construct an immune-gene related prognostic signature (IRPS) for predicting the prognosis of HCC patients. METHODS: Gene expression data were retrieved from The Cancer Genome Atlas database. The IRPS was established via least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis. The prognostic values of the IRPS were further validated using the International Cancer Genome Consortium (ICGC) dataset. RESULTS: A total of 62 genes were identified as candidate immune-related prognostic genes. According to the results of Lasso and multivariate Cox regression analysis, we established an IRPS and confirmed its stability and reliability in the ICGC dataset. The IRPS was significantly associated with advanced clinicopathological characteristics. Both Cox regression analyses revealed that the IRPS could be independent risk factors influencing prognosis of HCC patients. The relationships between the IRPS and infiltration of immune cells demonstrated that the IRPS was associated with immune cell infiltration. Furthermore, a nomogram was constructed to estimate the survival probability of HCC patients. CONCLUSIONS: The IRPS was effective for predicting prognosis of HCC patients, which might serve as novel prognostic and therapeutic biomarkers for HCC. |
format | Online Article Text |
id | pubmed-8666365 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | XIA & HE Publishing Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86663652021-12-28 Identification and Validation of an Immune-related Prognostic Signature for Hepatocellular Carcinoma Xia, Xinxin Tang, Ping Liu, Hui Li, Yuejun J Clin Transl Hepatol Original Article BACKGROUND AND AIMS: The immune system plays vital roles in hepatocellular carcinoma (HCC) initiation and progression. The present study aimed to construct an immune-gene related prognostic signature (IRPS) for predicting the prognosis of HCC patients. METHODS: Gene expression data were retrieved from The Cancer Genome Atlas database. The IRPS was established via least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis. The prognostic values of the IRPS were further validated using the International Cancer Genome Consortium (ICGC) dataset. RESULTS: A total of 62 genes were identified as candidate immune-related prognostic genes. According to the results of Lasso and multivariate Cox regression analysis, we established an IRPS and confirmed its stability and reliability in the ICGC dataset. The IRPS was significantly associated with advanced clinicopathological characteristics. Both Cox regression analyses revealed that the IRPS could be independent risk factors influencing prognosis of HCC patients. The relationships between the IRPS and infiltration of immune cells demonstrated that the IRPS was associated with immune cell infiltration. Furthermore, a nomogram was constructed to estimate the survival probability of HCC patients. CONCLUSIONS: The IRPS was effective for predicting prognosis of HCC patients, which might serve as novel prognostic and therapeutic biomarkers for HCC. XIA & HE Publishing Inc. 2021-12-28 2021-08-17 /pmc/articles/PMC8666365/ /pubmed/34966643 http://dx.doi.org/10.14218/JCTH.2021.00017 Text en © 2021 Authors. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 4.0 International License (CC BY-NC 4.0), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Xia, Xinxin Tang, Ping Liu, Hui Li, Yuejun Identification and Validation of an Immune-related Prognostic Signature for Hepatocellular Carcinoma |
title | Identification and Validation of an Immune-related Prognostic Signature for Hepatocellular Carcinoma |
title_full | Identification and Validation of an Immune-related Prognostic Signature for Hepatocellular Carcinoma |
title_fullStr | Identification and Validation of an Immune-related Prognostic Signature for Hepatocellular Carcinoma |
title_full_unstemmed | Identification and Validation of an Immune-related Prognostic Signature for Hepatocellular Carcinoma |
title_short | Identification and Validation of an Immune-related Prognostic Signature for Hepatocellular Carcinoma |
title_sort | identification and validation of an immune-related prognostic signature for hepatocellular carcinoma |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666365/ https://www.ncbi.nlm.nih.gov/pubmed/34966643 http://dx.doi.org/10.14218/JCTH.2021.00017 |
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