Construction of immune-related risk signature for uveal melanoma
AbstractUveal melanoma (UM) is the most frequent primary ocular tumour among adults. Here, we aimed to establish the immune cell-based signature to predict the overall survival (OS) of UM patients. The mRNA profile and matched clinical records of 80 UM patients were downloaded from The Cancer Genome...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2020-01-01
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| Series: | Artificial Cells, Nanomedicine, and Biotechnology |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/21691401.2020.1773480 |
| _version_ | 1797788756466466816 |
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| author | Zhaotian Zhang Yao Ni Genghang Chen Yantao Wei Manjuan Peng Shaochong Zhang |
| author_facet | Zhaotian Zhang Yao Ni Genghang Chen Yantao Wei Manjuan Peng Shaochong Zhang |
| author_sort | Zhaotian Zhang |
| collection | DOAJ |
| description | AbstractUveal melanoma (UM) is the most frequent primary ocular tumour among adults. Here, we aimed to establish the immune cell-based signature to predict the overall survival (OS) of UM patients. The mRNA profile and matched clinical records of 80 UM patients were downloaded from The Cancer Genome Atlas (TCGA) database. CIBERSORT was used to verify the immune cell types of individuals. The univariate analysis found the CD8+ T cell, monocyte, CD4+ memory T cell (resting) and mast cell (resting) were significantly associated with the OS of UM patients. Subsequently, the LASSO Cox regression test was applied to establish the signature, by which the patients were separated into high- and low-risk subgroups. The Kaplan–Meier analyses found for these patients in the high-risk group had a poor survival rate than those in the low-risk group. The predictive value and stability were confirmed by the receiver operative characteristics curves. Pathway analyses found that the differentially expressed genes between the high- and low-risk subgroups were mainly centralised on immune response-related pathways. Further, the comparison of our signature with clinicopathological records confirmed its superiority and independence. In summary, we established an immune cell-based prognosis-predicting signature for UM patients, which will benefit the individual’s treatment. |
| first_indexed | 2024-03-13T01:41:07Z |
| format | Article |
| id | doaj.art-ce369cef672d40d7a0310f9e626d9e6d |
| institution | Directory Open Access Journal |
| issn | 2169-1401 2169-141X |
| language | English |
| last_indexed | 2024-03-13T01:41:07Z |
| publishDate | 2020-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Artificial Cells, Nanomedicine, and Biotechnology |
| spelling | doaj.art-ce369cef672d40d7a0310f9e626d9e6d2023-07-03T14:04:56ZengTaylor & Francis GroupArtificial Cells, Nanomedicine, and Biotechnology2169-14012169-141X2020-01-0148191291910.1080/21691401.2020.1773480Construction of immune-related risk signature for uveal melanomaZhaotian Zhang0Yao Ni1Genghang Chen2Yantao Wei3Manjuan Peng4Shaochong Zhang5State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, ChinaState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, ChinaSchool of Public Health, Sun Yat-sen University, Guangzhou, ChinaState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, ChinaState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, ChinaState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, ChinaAbstractUveal melanoma (UM) is the most frequent primary ocular tumour among adults. Here, we aimed to establish the immune cell-based signature to predict the overall survival (OS) of UM patients. The mRNA profile and matched clinical records of 80 UM patients were downloaded from The Cancer Genome Atlas (TCGA) database. CIBERSORT was used to verify the immune cell types of individuals. The univariate analysis found the CD8+ T cell, monocyte, CD4+ memory T cell (resting) and mast cell (resting) were significantly associated with the OS of UM patients. Subsequently, the LASSO Cox regression test was applied to establish the signature, by which the patients were separated into high- and low-risk subgroups. The Kaplan–Meier analyses found for these patients in the high-risk group had a poor survival rate than those in the low-risk group. The predictive value and stability were confirmed by the receiver operative characteristics curves. Pathway analyses found that the differentially expressed genes between the high- and low-risk subgroups were mainly centralised on immune response-related pathways. Further, the comparison of our signature with clinicopathological records confirmed its superiority and independence. In summary, we established an immune cell-based prognosis-predicting signature for UM patients, which will benefit the individual’s treatment.https://www.tandfonline.com/doi/10.1080/21691401.2020.1773480Uveal melanomaimmune systemprognosisLASSO |
| spellingShingle | Zhaotian Zhang Yao Ni Genghang Chen Yantao Wei Manjuan Peng Shaochong Zhang Construction of immune-related risk signature for uveal melanoma Artificial Cells, Nanomedicine, and Biotechnology Uveal melanoma immune system prognosis LASSO |
| title | Construction of immune-related risk signature for uveal melanoma |
| title_full | Construction of immune-related risk signature for uveal melanoma |
| title_fullStr | Construction of immune-related risk signature for uveal melanoma |
| title_full_unstemmed | Construction of immune-related risk signature for uveal melanoma |
| title_short | Construction of immune-related risk signature for uveal melanoma |
| title_sort | construction of immune related risk signature for uveal melanoma |
| topic | Uveal melanoma immune system prognosis LASSO |
| url | https://www.tandfonline.com/doi/10.1080/21691401.2020.1773480 |
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