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Molecular subtypes based on DNA sensors predict prognosis and tumor immunophenotype in hepatocellular carcinoma
DNA sensors play crucial roles in inflammation and have been indicated to be involved in antitumor or tumorigenesis, while it is still unclear whether DNA sensors have potential roles in the prognosis and immunotherapy of hepatocellular carcinoma (HCC). Herein, The Cancer Genome Atlas and Gene Expre...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415551/ https://www.ncbi.nlm.nih.gov/pubmed/37451838 http://dx.doi.org/10.18632/aging.204870 |
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author | Lin, Hong-Sheng Pang, Wen-Peng Yuan, Hao Kong, Yin-Zhi Long, Fu-Li Zhang, Rong-Zhen Yang, Li Fang, Qiao-Ling Pan, Ai-Ping Fan, Xiao-Hui Li, Ming-Fen |
author_facet | Lin, Hong-Sheng Pang, Wen-Peng Yuan, Hao Kong, Yin-Zhi Long, Fu-Li Zhang, Rong-Zhen Yang, Li Fang, Qiao-Ling Pan, Ai-Ping Fan, Xiao-Hui Li, Ming-Fen |
author_sort | Lin, Hong-Sheng |
collection | PubMed |
description | DNA sensors play crucial roles in inflammation and have been indicated to be involved in antitumor or tumorigenesis, while it is still unclear whether DNA sensors have potential roles in the prognosis and immunotherapy of hepatocellular carcinoma (HCC). Herein, The Cancer Genome Atlas and Gene Expression Omnibus databases were used to analyze RNA sequencing data and clinical information. A total of 14 DNA sensors were collected and performed consensus clustering to determine their molecular mechanisms in HCC. Two distinct molecular subtypes (Clusters C1 and C2) were identified and were associated with different overall survival (OS). Immune subtype analysis revealed that C1 was mainly characterized by inflammation, while C2 was characterized by lymphocyte depletion. Immune scoring and immunomodulatory function analysis confirmed the different immune microenvironment of C1 and C2. Notably, significant differences in “Hot Tumor” Immunophenotype were observed between the two subtypes. Moreover, the prognostic model based on DNA sensors is capable of effectively predicting the OS of HCC patients. Besides, the chemotherapeutic drug analysis showed the different sensitivity of two subtypes. Taken together, our study shows that the proposed DNA sensors were a reliable signature to predict the prognosis and immunotherapy response with potential application in the clinical decision and treatment of HCC. |
format | Online Article Text |
id | pubmed-10415551 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-104155512023-08-12 Molecular subtypes based on DNA sensors predict prognosis and tumor immunophenotype in hepatocellular carcinoma Lin, Hong-Sheng Pang, Wen-Peng Yuan, Hao Kong, Yin-Zhi Long, Fu-Li Zhang, Rong-Zhen Yang, Li Fang, Qiao-Ling Pan, Ai-Ping Fan, Xiao-Hui Li, Ming-Fen Aging (Albany NY) Research Paper DNA sensors play crucial roles in inflammation and have been indicated to be involved in antitumor or tumorigenesis, while it is still unclear whether DNA sensors have potential roles in the prognosis and immunotherapy of hepatocellular carcinoma (HCC). Herein, The Cancer Genome Atlas and Gene Expression Omnibus databases were used to analyze RNA sequencing data and clinical information. A total of 14 DNA sensors were collected and performed consensus clustering to determine their molecular mechanisms in HCC. Two distinct molecular subtypes (Clusters C1 and C2) were identified and were associated with different overall survival (OS). Immune subtype analysis revealed that C1 was mainly characterized by inflammation, while C2 was characterized by lymphocyte depletion. Immune scoring and immunomodulatory function analysis confirmed the different immune microenvironment of C1 and C2. Notably, significant differences in “Hot Tumor” Immunophenotype were observed between the two subtypes. Moreover, the prognostic model based on DNA sensors is capable of effectively predicting the OS of HCC patients. Besides, the chemotherapeutic drug analysis showed the different sensitivity of two subtypes. Taken together, our study shows that the proposed DNA sensors were a reliable signature to predict the prognosis and immunotherapy response with potential application in the clinical decision and treatment of HCC. Impact Journals 2023-07-14 /pmc/articles/PMC10415551/ /pubmed/37451838 http://dx.doi.org/10.18632/aging.204870 Text en Copyright: © 2023 Lin et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Lin, Hong-Sheng Pang, Wen-Peng Yuan, Hao Kong, Yin-Zhi Long, Fu-Li Zhang, Rong-Zhen Yang, Li Fang, Qiao-Ling Pan, Ai-Ping Fan, Xiao-Hui Li, Ming-Fen Molecular subtypes based on DNA sensors predict prognosis and tumor immunophenotype in hepatocellular carcinoma |
title | Molecular subtypes based on DNA sensors predict prognosis and tumor immunophenotype in hepatocellular carcinoma |
title_full | Molecular subtypes based on DNA sensors predict prognosis and tumor immunophenotype in hepatocellular carcinoma |
title_fullStr | Molecular subtypes based on DNA sensors predict prognosis and tumor immunophenotype in hepatocellular carcinoma |
title_full_unstemmed | Molecular subtypes based on DNA sensors predict prognosis and tumor immunophenotype in hepatocellular carcinoma |
title_short | Molecular subtypes based on DNA sensors predict prognosis and tumor immunophenotype in hepatocellular carcinoma |
title_sort | molecular subtypes based on dna sensors predict prognosis and tumor immunophenotype in hepatocellular carcinoma |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415551/ https://www.ncbi.nlm.nih.gov/pubmed/37451838 http://dx.doi.org/10.18632/aging.204870 |
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