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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Main Authors: Ying-Zi Li, Ying Huang, Xiang-Yang Deng, Chang-Sen Tu
Format: Article
Language:English
Published: Press of International Journal of Ophthalmology (IJO PRESS) 2020-03-01
Series:International Journal of Ophthalmology
Subjects:
Online Access:http://www.ijo.cn/en_publish/2020/3/20200314.pdf
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spelling 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."
topic uveal melanoma
tcga
prognosis
immune-related signature
url http://www.ijo.cn/en_publish/2020/3/20200314.pdf
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AT yinghuang identificationofanimmunerelatedsignaturefortheprognosisofuvealmelanoma
AT xiangyangdeng identificationofanimmunerelatedsignaturefortheprognosisofuvealmelanoma
AT changsentu identificationofanimmunerelatedsignaturefortheprognosisofuvealmelanoma
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