Cargando…

Identification of a Novel CD8(+) T cell exhaustion-related gene signature for predicting survival in hepatocellular carcinoma

BACKGROUND: Hepatocellular carcinoma (HCC) is a major health concern, necessitating a deeper understanding of its prognosis and underlying mechanisms. This study aimed to investigate the mechanism and prognostic value of CD8(+) T Cell exhaustion (CD8(+) TEX)-related genes in HCC and construct a surv...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Kejun, Liu, Junhao, Zhang, Xusheng, Liu, Di, Yao, Weijie, Bu, Yang, Chen, Bendong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694949/
http://dx.doi.org/10.1186/s12885-023-11648-x
_version_ 1785153487212904448
author Liu, Kejun
Liu, Junhao
Zhang, Xusheng
Liu, Di
Yao, Weijie
Bu, Yang
Chen, Bendong
author_facet Liu, Kejun
Liu, Junhao
Zhang, Xusheng
Liu, Di
Yao, Weijie
Bu, Yang
Chen, Bendong
author_sort Liu, Kejun
collection PubMed
description BACKGROUND: Hepatocellular carcinoma (HCC) is a major health concern, necessitating a deeper understanding of its prognosis and underlying mechanisms. This study aimed to investigate the mechanism and prognostic value of CD8(+) T Cell exhaustion (CD8(+) TEX)-related genes in HCC and construct a survival prognosis prediction model for patients with HCC. METHODS: CD8(+) TEX-related genes associated with HCC prognosis were analysed and identified, and a prognostic prediction model was constructed using the ‘least absolute shrinkage and selection operator’ Cox regression model. Immunohistochemistry was used to verify the expression of the model genes in HCC tissues. A nomogram was constructed based on risk scores and clinical features, and its predictive efficacy was verified. The expression of STAM, ANXA5, and MAD2L2 in HCC cell lines was detected by western blotting; subsequently, these genes were knocked down in HCC cell lines by small interfering RNA, and their effects on the proliferation and migration of HCC cell lines were detected by colony formation assay, cck8, wound healing, and transwell assays. RESULTS: Six genes related to CD8(+) TEX were included in the risk-prediction model. The prognosis of patients with HCC in the low-risk group was significantly better than that of those in the high-risk group. Cox regression analysis revealed that the risk score was an independent risk factor for the prognosis of patients with HCC. The differentially expressed genes in patients with high-risk HCC were mainly enriched in the nucleotide-binding oligomerization domain-containing protein-like receptor, hypoxia-inducible factor-1, and tumour programmed cell death protein (PD)-1/PD-L1 immune checkpoint pathways. The CD8(+) TEX-related genes STAM, ANXA5, and MAD2L2 were knocked down in HCC cell lines to significantly inhibit cell proliferation and migration. The prediction results of the nomogram based on the risk score showed a good fit and application value. CONCLUSION: The prediction model based on CD8(+) TEX-related genes can predict the prognosis of HCC and provide a theoretical basis for the early identification of patients with poor HCC prognosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11648-x.
format Online
Article
Text
id pubmed-10694949
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-106949492023-12-05 Identification of a Novel CD8(+) T cell exhaustion-related gene signature for predicting survival in hepatocellular carcinoma Liu, Kejun Liu, Junhao Zhang, Xusheng Liu, Di Yao, Weijie Bu, Yang Chen, Bendong BMC Cancer Research BACKGROUND: Hepatocellular carcinoma (HCC) is a major health concern, necessitating a deeper understanding of its prognosis and underlying mechanisms. This study aimed to investigate the mechanism and prognostic value of CD8(+) T Cell exhaustion (CD8(+) TEX)-related genes in HCC and construct a survival prognosis prediction model for patients with HCC. METHODS: CD8(+) TEX-related genes associated with HCC prognosis were analysed and identified, and a prognostic prediction model was constructed using the ‘least absolute shrinkage and selection operator’ Cox regression model. Immunohistochemistry was used to verify the expression of the model genes in HCC tissues. A nomogram was constructed based on risk scores and clinical features, and its predictive efficacy was verified. The expression of STAM, ANXA5, and MAD2L2 in HCC cell lines was detected by western blotting; subsequently, these genes were knocked down in HCC cell lines by small interfering RNA, and their effects on the proliferation and migration of HCC cell lines were detected by colony formation assay, cck8, wound healing, and transwell assays. RESULTS: Six genes related to CD8(+) TEX were included in the risk-prediction model. The prognosis of patients with HCC in the low-risk group was significantly better than that of those in the high-risk group. Cox regression analysis revealed that the risk score was an independent risk factor for the prognosis of patients with HCC. The differentially expressed genes in patients with high-risk HCC were mainly enriched in the nucleotide-binding oligomerization domain-containing protein-like receptor, hypoxia-inducible factor-1, and tumour programmed cell death protein (PD)-1/PD-L1 immune checkpoint pathways. The CD8(+) TEX-related genes STAM, ANXA5, and MAD2L2 were knocked down in HCC cell lines to significantly inhibit cell proliferation and migration. The prediction results of the nomogram based on the risk score showed a good fit and application value. CONCLUSION: The prediction model based on CD8(+) TEX-related genes can predict the prognosis of HCC and provide a theoretical basis for the early identification of patients with poor HCC prognosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11648-x. BioMed Central 2023-12-04 /pmc/articles/PMC10694949/ http://dx.doi.org/10.1186/s12885-023-11648-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Liu, Kejun
Liu, Junhao
Zhang, Xusheng
Liu, Di
Yao, Weijie
Bu, Yang
Chen, Bendong
Identification of a Novel CD8(+) T cell exhaustion-related gene signature for predicting survival in hepatocellular carcinoma
title Identification of a Novel CD8(+) T cell exhaustion-related gene signature for predicting survival in hepatocellular carcinoma
title_full Identification of a Novel CD8(+) T cell exhaustion-related gene signature for predicting survival in hepatocellular carcinoma
title_fullStr Identification of a Novel CD8(+) T cell exhaustion-related gene signature for predicting survival in hepatocellular carcinoma
title_full_unstemmed Identification of a Novel CD8(+) T cell exhaustion-related gene signature for predicting survival in hepatocellular carcinoma
title_short Identification of a Novel CD8(+) T cell exhaustion-related gene signature for predicting survival in hepatocellular carcinoma
title_sort identification of a novel cd8(+) t cell exhaustion-related gene signature for predicting survival in hepatocellular carcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694949/
http://dx.doi.org/10.1186/s12885-023-11648-x
work_keys_str_mv AT liukejun identificationofanovelcd8tcellexhaustionrelatedgenesignatureforpredictingsurvivalinhepatocellularcarcinoma
AT liujunhao identificationofanovelcd8tcellexhaustionrelatedgenesignatureforpredictingsurvivalinhepatocellularcarcinoma
AT zhangxusheng identificationofanovelcd8tcellexhaustionrelatedgenesignatureforpredictingsurvivalinhepatocellularcarcinoma
AT liudi identificationofanovelcd8tcellexhaustionrelatedgenesignatureforpredictingsurvivalinhepatocellularcarcinoma
AT yaoweijie identificationofanovelcd8tcellexhaustionrelatedgenesignatureforpredictingsurvivalinhepatocellularcarcinoma
AT buyang identificationofanovelcd8tcellexhaustionrelatedgenesignatureforpredictingsurvivalinhepatocellularcarcinoma
AT chenbendong identificationofanovelcd8tcellexhaustionrelatedgenesignatureforpredictingsurvivalinhepatocellularcarcinoma