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Identification of immune-related target and prognostic biomarkers in PBMC of hepatocellular carcinoma

BACKGROUND:  Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide, and is characterized by insidious onset, rapid progression, and poor prognosis. Immunotherapy is a first-line treatment for advanced HCC. The identification of immune-related prognostic markers...

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Autores principales: Hu, Rui, Zhang, Wei, Han, Zhiyi, Ma, Mengqing, Huang, Qi, Lv, Minling, Ma, Wenfeng, Sun, Xinfeng, Feng, Wenxing, Li, Jing, Zhong, Xin, Sun, Jialing, Yao, Wei, Zhou, Xiaozhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337054/
https://www.ncbi.nlm.nih.gov/pubmed/37438735
http://dx.doi.org/10.1186/s12876-023-02843-y
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author Hu, Rui
Zhang, Wei
Han, Zhiyi
Ma, Mengqing
Huang, Qi
Lv, Minling
Ma, Wenfeng
Sun, Xinfeng
Feng, Wenxing
Li, Jing
Zhong, Xin
Sun, Jialing
Yao, Wei
Zhou, Xiaozhou
author_facet Hu, Rui
Zhang, Wei
Han, Zhiyi
Ma, Mengqing
Huang, Qi
Lv, Minling
Ma, Wenfeng
Sun, Xinfeng
Feng, Wenxing
Li, Jing
Zhong, Xin
Sun, Jialing
Yao, Wei
Zhou, Xiaozhou
author_sort Hu, Rui
collection PubMed
description BACKGROUND:  Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide, and is characterized by insidious onset, rapid progression, and poor prognosis. Immunotherapy is a first-line treatment for advanced HCC. The identification of immune-related prognostic markers may be an effective strategy to predict and improve clinical response rate of immunotherapy. METHODS:  The DESeq2, edgeR, and limma R packages were used to compare the transcriptomes of HCC with different prognoses. Cancer-related databases such as UALCAN, TNMplot, GEPIA, muttarget and Human Protein Atlas (HPA), and the Kaplan–Meier Plotter platform were used to analyze the relationship between CLDN18 and the clinical characteristics, as well as prognosis of HCC. The co-expressed genes of CLDN18 were obtained from LinkedOmics platform, and GO functional enrichment and KEGG pathway analysis were performed. The CIBERSORT, TIMER, Timer 2.0 and TISIDB algorithms were used to analyze immune infiltration. RESULTS:  CLDN18 was differentially expressed in HCC patients with different prognoses, and its expression level in PBMC was positively correlated with the stage of BCLC. In addition, CLDN18 was significantly overexpressed in HCC tumor tissues compared to adjacent non-tumor tissues, which was consistent with PBMC sequencing results and immunohistochemical data from human protein profiles. CLDN18 was also positively correlated with HCC staging and grading, and high expression levels of CLDN18 predicted shorter overall survival. Functional annotation of CLDN18 in HCC revealed enrichment of the cellular senescence and protein activation cascade, along with biological processes such as cell cycle, inflammatory response, and cellular ketone metabolism. In addition, CLDN18 was also associated with tumor infiltrating immune cells, suppressive immune cell markers, T lymphocyte depletion and activation of HCC, and low expression of CLDN18 was associated with higher CD8 + T cell infiltration and better survival rates. CONCLUSIONS: CLDN18 is a potential prognostic marker and immunotherapeutic target for HCC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-023-02843-y.
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spelling pubmed-103370542023-07-13 Identification of immune-related target and prognostic biomarkers in PBMC of hepatocellular carcinoma Hu, Rui Zhang, Wei Han, Zhiyi Ma, Mengqing Huang, Qi Lv, Minling Ma, Wenfeng Sun, Xinfeng Feng, Wenxing Li, Jing Zhong, Xin Sun, Jialing Yao, Wei Zhou, Xiaozhou BMC Gastroenterol Research BACKGROUND:  Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide, and is characterized by insidious onset, rapid progression, and poor prognosis. Immunotherapy is a first-line treatment for advanced HCC. The identification of immune-related prognostic markers may be an effective strategy to predict and improve clinical response rate of immunotherapy. METHODS:  The DESeq2, edgeR, and limma R packages were used to compare the transcriptomes of HCC with different prognoses. Cancer-related databases such as UALCAN, TNMplot, GEPIA, muttarget and Human Protein Atlas (HPA), and the Kaplan–Meier Plotter platform were used to analyze the relationship between CLDN18 and the clinical characteristics, as well as prognosis of HCC. The co-expressed genes of CLDN18 were obtained from LinkedOmics platform, and GO functional enrichment and KEGG pathway analysis were performed. The CIBERSORT, TIMER, Timer 2.0 and TISIDB algorithms were used to analyze immune infiltration. RESULTS:  CLDN18 was differentially expressed in HCC patients with different prognoses, and its expression level in PBMC was positively correlated with the stage of BCLC. In addition, CLDN18 was significantly overexpressed in HCC tumor tissues compared to adjacent non-tumor tissues, which was consistent with PBMC sequencing results and immunohistochemical data from human protein profiles. CLDN18 was also positively correlated with HCC staging and grading, and high expression levels of CLDN18 predicted shorter overall survival. Functional annotation of CLDN18 in HCC revealed enrichment of the cellular senescence and protein activation cascade, along with biological processes such as cell cycle, inflammatory response, and cellular ketone metabolism. In addition, CLDN18 was also associated with tumor infiltrating immune cells, suppressive immune cell markers, T lymphocyte depletion and activation of HCC, and low expression of CLDN18 was associated with higher CD8 + T cell infiltration and better survival rates. CONCLUSIONS: CLDN18 is a potential prognostic marker and immunotherapeutic target for HCC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-023-02843-y. BioMed Central 2023-07-12 /pmc/articles/PMC10337054/ /pubmed/37438735 http://dx.doi.org/10.1186/s12876-023-02843-y 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
Hu, Rui
Zhang, Wei
Han, Zhiyi
Ma, Mengqing
Huang, Qi
Lv, Minling
Ma, Wenfeng
Sun, Xinfeng
Feng, Wenxing
Li, Jing
Zhong, Xin
Sun, Jialing
Yao, Wei
Zhou, Xiaozhou
Identification of immune-related target and prognostic biomarkers in PBMC of hepatocellular carcinoma
title Identification of immune-related target and prognostic biomarkers in PBMC of hepatocellular carcinoma
title_full Identification of immune-related target and prognostic biomarkers in PBMC of hepatocellular carcinoma
title_fullStr Identification of immune-related target and prognostic biomarkers in PBMC of hepatocellular carcinoma
title_full_unstemmed Identification of immune-related target and prognostic biomarkers in PBMC of hepatocellular carcinoma
title_short Identification of immune-related target and prognostic biomarkers in PBMC of hepatocellular carcinoma
title_sort identification of immune-related target and prognostic biomarkers in pbmc of hepatocellular carcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337054/
https://www.ncbi.nlm.nih.gov/pubmed/37438735
http://dx.doi.org/10.1186/s12876-023-02843-y
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