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Identification of lysosome-related genes in connection with prognosis and immune cell infiltration for drug candidates in head and neck cancer
Lysosome dysfunction has been shown to play an important role in cancer progression. However, few research studies have reported the role of lysosomes in head and neck squamous cell carcinoma (HNSCC) progression. Lysosome-related genes (LRGs) were collected from the Molecular Signatures Database. Di...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426727/ https://www.ncbi.nlm.nih.gov/pubmed/37588994 http://dx.doi.org/10.1515/biol-2022-0660 |
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author | Shen, Ye Chen, Haibin Gong, Xiaoyang Wang, Ziyi Chen, Mengjie Chen, Donghui |
author_facet | Shen, Ye Chen, Haibin Gong, Xiaoyang Wang, Ziyi Chen, Mengjie Chen, Donghui |
author_sort | Shen, Ye |
collection | PubMed |
description | Lysosome dysfunction has been shown to play an important role in cancer progression. However, few research studies have reported the role of lysosomes in head and neck squamous cell carcinoma (HNSCC) progression. Lysosome-related genes (LRGs) were collected from the Molecular Signatures Database. Differentially expressed lysosome-related genes (DELRGs) were identified from the TCGA-HNSCC dataset. The least absolute shrinkage and selection operator and multivariate Cox regression analysis were used to identify the prognostic genes. The prognostic values and expression of hub DELRGs were further validated by GEO datasets. Estimation of STromal and Immune cells in MAlignant Tumors using Expression data and the single-sample gene set enrichment analysis were applied to evaluate the correlation between cathepsin G (CTSG) and immune infiltrates. Twenty-two DELRGs were identified. Among them, CTSG was an independent prognostic biomarker for HNSCC patients. Gene set enrichment analysis indicated that the potential mechanism of CTSG in regulating HNSCC was associated with the immune- and inflammation-related pathways. CTSG expression was highly correlated with immune cell infiltration. Finally, two potential compounds (CH and MAN) targeting CTSG protein were identified, and their reliability was validated through molecular docking analysis. CTSG was associated with immune infiltration and had prognostic value in HNSCC patients, which may be a potential biomarker for predicting the outcome of immunotherapy. |
format | Online Article Text |
id | pubmed-10426727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | De Gruyter |
record_format | MEDLINE/PubMed |
spelling | pubmed-104267272023-08-16 Identification of lysosome-related genes in connection with prognosis and immune cell infiltration for drug candidates in head and neck cancer Shen, Ye Chen, Haibin Gong, Xiaoyang Wang, Ziyi Chen, Mengjie Chen, Donghui Open Life Sci Research Article Lysosome dysfunction has been shown to play an important role in cancer progression. However, few research studies have reported the role of lysosomes in head and neck squamous cell carcinoma (HNSCC) progression. Lysosome-related genes (LRGs) were collected from the Molecular Signatures Database. Differentially expressed lysosome-related genes (DELRGs) were identified from the TCGA-HNSCC dataset. The least absolute shrinkage and selection operator and multivariate Cox regression analysis were used to identify the prognostic genes. The prognostic values and expression of hub DELRGs were further validated by GEO datasets. Estimation of STromal and Immune cells in MAlignant Tumors using Expression data and the single-sample gene set enrichment analysis were applied to evaluate the correlation between cathepsin G (CTSG) and immune infiltrates. Twenty-two DELRGs were identified. Among them, CTSG was an independent prognostic biomarker for HNSCC patients. Gene set enrichment analysis indicated that the potential mechanism of CTSG in regulating HNSCC was associated with the immune- and inflammation-related pathways. CTSG expression was highly correlated with immune cell infiltration. Finally, two potential compounds (CH and MAN) targeting CTSG protein were identified, and their reliability was validated through molecular docking analysis. CTSG was associated with immune infiltration and had prognostic value in HNSCC patients, which may be a potential biomarker for predicting the outcome of immunotherapy. De Gruyter 2023-08-09 /pmc/articles/PMC10426727/ /pubmed/37588994 http://dx.doi.org/10.1515/biol-2022-0660 Text en © 2023 the author(s), published by De Gruyter https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. |
spellingShingle | Research Article Shen, Ye Chen, Haibin Gong, Xiaoyang Wang, Ziyi Chen, Mengjie Chen, Donghui Identification of lysosome-related genes in connection with prognosis and immune cell infiltration for drug candidates in head and neck cancer |
title | Identification of lysosome-related genes in connection with prognosis and immune cell infiltration for drug candidates in head and neck cancer |
title_full | Identification of lysosome-related genes in connection with prognosis and immune cell infiltration for drug candidates in head and neck cancer |
title_fullStr | Identification of lysosome-related genes in connection with prognosis and immune cell infiltration for drug candidates in head and neck cancer |
title_full_unstemmed | Identification of lysosome-related genes in connection with prognosis and immune cell infiltration for drug candidates in head and neck cancer |
title_short | Identification of lysosome-related genes in connection with prognosis and immune cell infiltration for drug candidates in head and neck cancer |
title_sort | identification of lysosome-related genes in connection with prognosis and immune cell infiltration for drug candidates in head and neck cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426727/ https://www.ncbi.nlm.nih.gov/pubmed/37588994 http://dx.doi.org/10.1515/biol-2022-0660 |
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