Identification of an immune-related signature for the prognosis of uveal melanoma
"AIM: To construct an immune-related prognostic signature (IPS) that can distinguish and predict prognosis in uveal melanoma (UM). METHODS: The transcriptomic data and clinicopathological information of 80 UM patients were extracted from the TCGA database. These patients were randomly assigned...
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doaj-134928f851cf40e99f92c2e0a61898602020-11-25T02:38:56ZengPress of International Journal of Ophthalmology (IJO PRESS)International Journal of Ophthalmology2222-39592227-48982020-03-0113345846510.18240/ijo.2020.03.14Identification of an immune-related signature for the prognosis of uveal melanomaYing-Zi Li0Ying Huang1Xiang-Yang Deng2Chang-Sen Tu3Eye Hospital, Wenzhou Medical University, Wenzhou 32500, Zhejiang Province, ChinaEye Hospital, Wenzhou Medical University, Wenzhou 32500, Zhejiang Province, ChinaDepartment of Neurosurgery, the Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, ChinaEye Hospital, Wenzhou Medical University, Wenzhou 32500, Zhejiang Province, China"AIM: To construct an immune-related prognostic signature (IPS) that can distinguish and predict prognosis in uveal melanoma (UM). METHODS: The transcriptomic data and clinicopathological information of 80 UM patients were extracted from the TCGA database. These patients were randomly assigned to a training and a testing set. RESULTS: Lasso Cox analysis was performed for the prognostic immune-related genes to develop an IPS for UM in the training set. The signature was validated in both the testing set and entire cohort. We confirmed the prognostic value of our IPS in distinct subgroups and found its association with the T stage and basal diameter of the tumor. Tumor Immune Estimation Resource database analysis revealed that the IPS was negatively correlated with the infiltration of neutrophils and dendritic cells, but positively correlated with the infiltration level of CD8+ T cells. In addition, we demonstrated that immune checkpoints containing PD-1, CTLA-4, IDO, and TIGIT were moderately associated with the IPS. CONCLUSION: This is the first study to develop and validate an immune-related signature with the ability of predicting prognosis for UM patients. Further studies are needed to validate its prediction accuracy." http://www.ijo.cn/en_publish/2020/3/20200314.pdfuveal melanomatcgaprognosisimmune-related signature |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ying-Zi Li Ying Huang Xiang-Yang Deng Chang-Sen Tu |
spellingShingle |
Ying-Zi Li Ying Huang Xiang-Yang Deng Chang-Sen Tu Identification of an immune-related signature for the prognosis of uveal melanoma International Journal of Ophthalmology uveal melanoma tcga prognosis immune-related signature |
author_facet |
Ying-Zi Li Ying Huang Xiang-Yang Deng Chang-Sen Tu |
author_sort |
Ying-Zi Li |
title |
Identification of an immune-related signature for the prognosis of uveal melanoma |
title_short |
Identification of an immune-related signature for the prognosis of uveal melanoma |
title_full |
Identification of an immune-related signature for the prognosis of uveal melanoma |
title_fullStr |
Identification of an immune-related signature for the prognosis of uveal melanoma |
title_full_unstemmed |
Identification of an immune-related signature for the prognosis of uveal melanoma |
title_sort |
identification of an immune-related signature for the prognosis of uveal melanoma |
publisher |
Press of International Journal of Ophthalmology (IJO PRESS) |
series |
International Journal of Ophthalmology |
issn |
2222-3959 2227-4898 |
publishDate |
2020-03-01 |
description |
"AIM: To construct an immune-related prognostic signature (IPS) that can distinguish and predict prognosis in uveal melanoma (UM).
METHODS: The transcriptomic data and clinicopathological information of 80 UM patients were extracted from the TCGA database. These patients were randomly assigned to a training and a testing set.
RESULTS: Lasso Cox analysis was performed for the prognostic immune-related genes to develop an IPS for UM in the training set. The signature was validated in both the testing set and entire cohort. We confirmed the prognostic value of our IPS in distinct subgroups and found its association with the T stage and basal diameter of the tumor. Tumor Immune Estimation Resource database analysis revealed that the IPS was negatively correlated with the infiltration of neutrophils and dendritic cells, but positively correlated with the infiltration level of CD8+ T cells. In addition, we demonstrated that immune checkpoints containing PD-1, CTLA-4, IDO, and TIGIT were moderately associated with the IPS.
CONCLUSION: This is the first study to develop and validate an immune-related signature with the ability of predicting prognosis for UM patients. Further studies are needed to validate its prediction accuracy."
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topic |
uveal melanoma tcga prognosis immune-related signature |
url |
http://www.ijo.cn/en_publish/2020/3/20200314.pdf |
work_keys_str_mv |
AT yingzili identificationofanimmunerelatedsignaturefortheprognosisofuvealmelanoma AT yinghuang identificationofanimmunerelatedsignaturefortheprognosisofuvealmelanoma AT xiangyangdeng identificationofanimmunerelatedsignaturefortheprognosisofuvealmelanoma AT changsentu identificationofanimmunerelatedsignaturefortheprognosisofuvealmelanoma |
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1724788682757505024 |