Comprehensive analysis of T cell exhaustion related signature for predicting prognosis and immunotherapy response in HNSCC
Abstract Background T cell exhaustion (TEX) signifies a condition of T cell disorder which implicate the therapeutic benefits and prognostic significance in patients with cancer. However, its role in the Head and Neck Squamous Carcinoma (HNSCC) remains incompletely understood. Methods The detailed d...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Springer
2024-03-01
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| Series: | Discover Oncology |
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| Online Access: | https://doi.org/10.1007/s12672-024-00921-5 |
| _version_ | 1827327057427693568 |
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| author | Wei Zhang Mei Qu Chun Yin Zhiliang Jin Ya Hu |
| author_facet | Wei Zhang Mei Qu Chun Yin Zhiliang Jin Ya Hu |
| author_sort | Wei Zhang |
| collection | DOAJ |
| description | Abstract Background T cell exhaustion (TEX) signifies a condition of T cell disorder which implicate the therapeutic benefits and prognostic significance in patients with cancer. However, its role in the Head and Neck Squamous Carcinoma (HNSCC) remains incompletely understood. Methods The detailed data of HNSCC samples were obtained from The Cancer Genome Atlas (TCGA) database and two Gene Expression Omnibus (GEO) datasets. We computed the expression scores of four TEX-related pathways and detected gene modules closely linked to these pathways, indicating prognostic significance. Following this, regression analyses were performed to select eight genes for the development of a predictive signature. The predictive capacity of this signature was evaluated. Additionally, we examined the relationships between TEX-related signature risk scores and the effectiveness of immunotherapy as well as drug sensitivity. Results A novel prognostic model, comprising eight TEX-related genes, was established for patients with HNSCC. The prognostic value was further confirmed using additional GEO datasets: GSE65858 and GSE27020. This signature enables the stratification of patients into high- and low- risk groups, each showing distinct survival outcomes and responsiveness to immunotherapy. The low-risk group demonstrated improved prognosis and enhanced efficacy of immunotherapy. In addition, AZD6482, TAF1, Ribociclib, LGK974, PF4708671 and other drugs showed increased sensitivity in the high-risk group based on drug sensitivity values, offering tailored therapeutic recommendations for individuals with various risks profiles. Conclusion In conclusion, we developed a novel T cell exhaustion-associated signature, which holds considerable predictive value for both the prognosis of patients with HNSCC and the effectiveness of tumor immunotherapy. |
| first_indexed | 2024-03-07T14:54:31Z |
| format | Article |
| id | doaj.art-6c94fcbeb6df4b78a2a2bde877f8ad40 |
| institution | Directory Open Access Journal |
| issn | 2730-6011 |
| language | English |
| last_indexed | 2024-03-07T14:54:31Z |
| publishDate | 2024-03-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Oncology |
| spelling | doaj.art-6c94fcbeb6df4b78a2a2bde877f8ad402024-03-05T19:30:19ZengSpringerDiscover Oncology2730-60112024-03-0115111510.1007/s12672-024-00921-5Comprehensive analysis of T cell exhaustion related signature for predicting prognosis and immunotherapy response in HNSCCWei Zhang0Mei Qu1Chun Yin2Zhiliang Jin3Ya Hu4Department of Oncology, Jingzhou Hospital, Yangtze UniversityDepartment of Oncology, Jingzhou Hospital, Yangtze UniversityDepartment of Oncology, Jingzhou Hospital, Yangtze UniversityDepartment of Oncology, Jingzhou Hospital, Yangtze UniversityDepartment of Pharmacology, Health Science Center, Yangtze UniversityAbstract Background T cell exhaustion (TEX) signifies a condition of T cell disorder which implicate the therapeutic benefits and prognostic significance in patients with cancer. However, its role in the Head and Neck Squamous Carcinoma (HNSCC) remains incompletely understood. Methods The detailed data of HNSCC samples were obtained from The Cancer Genome Atlas (TCGA) database and two Gene Expression Omnibus (GEO) datasets. We computed the expression scores of four TEX-related pathways and detected gene modules closely linked to these pathways, indicating prognostic significance. Following this, regression analyses were performed to select eight genes for the development of a predictive signature. The predictive capacity of this signature was evaluated. Additionally, we examined the relationships between TEX-related signature risk scores and the effectiveness of immunotherapy as well as drug sensitivity. Results A novel prognostic model, comprising eight TEX-related genes, was established for patients with HNSCC. The prognostic value was further confirmed using additional GEO datasets: GSE65858 and GSE27020. This signature enables the stratification of patients into high- and low- risk groups, each showing distinct survival outcomes and responsiveness to immunotherapy. The low-risk group demonstrated improved prognosis and enhanced efficacy of immunotherapy. In addition, AZD6482, TAF1, Ribociclib, LGK974, PF4708671 and other drugs showed increased sensitivity in the high-risk group based on drug sensitivity values, offering tailored therapeutic recommendations for individuals with various risks profiles. Conclusion In conclusion, we developed a novel T cell exhaustion-associated signature, which holds considerable predictive value for both the prognosis of patients with HNSCC and the effectiveness of tumor immunotherapy.https://doi.org/10.1007/s12672-024-00921-5Nasopharyngeal carcinomaT cell exhaustionPrognosisImmunotherapy |
| spellingShingle | Wei Zhang Mei Qu Chun Yin Zhiliang Jin Ya Hu Comprehensive analysis of T cell exhaustion related signature for predicting prognosis and immunotherapy response in HNSCC Discover Oncology Nasopharyngeal carcinoma T cell exhaustion Prognosis Immunotherapy |
| title | Comprehensive analysis of T cell exhaustion related signature for predicting prognosis and immunotherapy response in HNSCC |
| title_full | Comprehensive analysis of T cell exhaustion related signature for predicting prognosis and immunotherapy response in HNSCC |
| title_fullStr | Comprehensive analysis of T cell exhaustion related signature for predicting prognosis and immunotherapy response in HNSCC |
| title_full_unstemmed | Comprehensive analysis of T cell exhaustion related signature for predicting prognosis and immunotherapy response in HNSCC |
| title_short | Comprehensive analysis of T cell exhaustion related signature for predicting prognosis and immunotherapy response in HNSCC |
| title_sort | comprehensive analysis of t cell exhaustion related signature for predicting prognosis and immunotherapy response in hnscc |
| topic | Nasopharyngeal carcinoma T cell exhaustion Prognosis Immunotherapy |
| url | https://doi.org/10.1007/s12672-024-00921-5 |
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