Immune classification and identification of prognostic genes for uveal melanoma based on six immune cell signatures

Abstract Cutaneous melanoma could be treated by immunotherapy, which only has limited efficacy on uveal melanoma (UM). UM immunotyping for predicting immunotherapeutic responses and guiding immunotherapy should be better understood. This study identified molecular subtypes and key genetic markers as...

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Autores principales:	Guohong Gao, Zhilong Yu, Xiaoyan Zhao, Xinyi Fu, Shengsheng Liu, Shan Liang, Aijun Deng
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/6033d47f4ef2409f8231477417ba052d
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spelling	oai:doaj.org-article:6033d47f4ef2409f8231477417ba052d2021-11-21T12:19:18ZImmune classification and identification of prognostic genes for uveal melanoma based on six immune cell signatures10.1038/s41598-021-01627-22045-2322https://doaj.org/article/6033d47f4ef2409f8231477417ba052d2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01627-2https://doaj.org/toc/2045-2322Abstract Cutaneous melanoma could be treated by immunotherapy, which only has limited efficacy on uveal melanoma (UM). UM immunotyping for predicting immunotherapeutic responses and guiding immunotherapy should be better understood. This study identified molecular subtypes and key genetic markers associated with immunotherapy through immunosignature analysis. We screened a 6-immune cell signature simultaneously correlated with UM prognosis. Three immune subtypes (IS) were determined based on the 6-immune cell signature. Overall survival (OS) of IS3 was the longest. Significant differences of linear discriminant analysis (LDA) score were detected among the three IS types. IS3 with the highest LDA score showed a low immunosuppression. IS1 with the lowest LDA score was more immunosuppressive. LDA score was significantly negatively correlated with most immune checkpoint-related genes, and could reflect UM patients’ response to anti-PD1 immunotherapy. Weighted correlation network analysis (WGCNA) identified that salmon, purple, yellow modules were related to IS and screened 6 prognostic genes. Patients with high-expressed NME1 and TMEM255A developed poor prognosis, while those with high-expressed BEX5 and ROPN1 had better prognosis. There was no notable difference in OS between patients with high-expressed LRRN1 and ST13 and those with low-expressed LRRN1 and ST13. NME1, TMEM255A, Bex5 and ROPN1 showed potential prognostic significance in UM.Guohong GaoZhilong YuXiaoyan ZhaoXinyi FuShengsheng LiuShan LiangAijun DengNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Guohong Gao Zhilong Yu Xiaoyan Zhao Xinyi Fu Shengsheng Liu Shan Liang Aijun Deng Immune classification and identification of prognostic genes for uveal melanoma based on six immune cell signatures
description	Abstract Cutaneous melanoma could be treated by immunotherapy, which only has limited efficacy on uveal melanoma (UM). UM immunotyping for predicting immunotherapeutic responses and guiding immunotherapy should be better understood. This study identified molecular subtypes and key genetic markers associated with immunotherapy through immunosignature analysis. We screened a 6-immune cell signature simultaneously correlated with UM prognosis. Three immune subtypes (IS) were determined based on the 6-immune cell signature. Overall survival (OS) of IS3 was the longest. Significant differences of linear discriminant analysis (LDA) score were detected among the three IS types. IS3 with the highest LDA score showed a low immunosuppression. IS1 with the lowest LDA score was more immunosuppressive. LDA score was significantly negatively correlated with most immune checkpoint-related genes, and could reflect UM patients’ response to anti-PD1 immunotherapy. Weighted correlation network analysis (WGCNA) identified that salmon, purple, yellow modules were related to IS and screened 6 prognostic genes. Patients with high-expressed NME1 and TMEM255A developed poor prognosis, while those with high-expressed BEX5 and ROPN1 had better prognosis. There was no notable difference in OS between patients with high-expressed LRRN1 and ST13 and those with low-expressed LRRN1 and ST13. NME1, TMEM255A, Bex5 and ROPN1 showed potential prognostic significance in UM.
format	article
author	Guohong Gao Zhilong Yu Xiaoyan Zhao Xinyi Fu Shengsheng Liu Shan Liang Aijun Deng
author_facet	Guohong Gao Zhilong Yu Xiaoyan Zhao Xinyi Fu Shengsheng Liu Shan Liang Aijun Deng
author_sort	Guohong Gao
title	Immune classification and identification of prognostic genes for uveal melanoma based on six immune cell signatures
title_short	Immune classification and identification of prognostic genes for uveal melanoma based on six immune cell signatures
title_full	Immune classification and identification of prognostic genes for uveal melanoma based on six immune cell signatures
title_fullStr	Immune classification and identification of prognostic genes for uveal melanoma based on six immune cell signatures
title_full_unstemmed	Immune classification and identification of prognostic genes for uveal melanoma based on six immune cell signatures
title_sort	immune classification and identification of prognostic genes for uveal melanoma based on six immune cell signatures
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/6033d47f4ef2409f8231477417ba052d
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Immune classification and identification of prognostic genes for uveal melanoma based on six immune cell signatures

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