Cargando…

Identification of m7G-associated lncRNA prognostic signature for predicting the immune status in cutaneous melanoma

RNA modifications, including RNA methylation, are widely existed in cutaneous melanoma (CM). Among epigenetic modifications, N7-methylguanosine (m7G) is a kind of modification at 5’ cap of RNA which participate in maintaining the stability of mRNA and various cell biological processes. However, ther...

Descripción completa

Detalles Bibliográficos
Autores principales: Rong, Jielin, Wang, Hui, Yao, Yi, Wu, Zhengyuan, Chen, Leilei, Jin, Chaojie, Shi, Zhaoyang, Wu, Cheng, Hu, Xueqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271298/
https://www.ncbi.nlm.nih.gov/pubmed/35771136
http://dx.doi.org/10.18632/aging.204151
_version_ 1784744650859347968
author Rong, Jielin
Wang, Hui
Yao, Yi
Wu, Zhengyuan
Chen, Leilei
Jin, Chaojie
Shi, Zhaoyang
Wu, Cheng
Hu, Xueqing
author_facet Rong, Jielin
Wang, Hui
Yao, Yi
Wu, Zhengyuan
Chen, Leilei
Jin, Chaojie
Shi, Zhaoyang
Wu, Cheng
Hu, Xueqing
author_sort Rong, Jielin
collection PubMed
description RNA modifications, including RNA methylation, are widely existed in cutaneous melanoma (CM). Among epigenetic modifications, N7-methylguanosine (m7G) is a kind of modification at 5’ cap of RNA which participate in maintaining the stability of mRNA and various cell biological processes. However, there is still no study concerning the relationship between CM and m7G methylation complexes, METTL1 and WDR4. Here, long non-coding RNA (lncRNAs) and gene expression data of CM from the Cancer Genome Atlas (TCGA) database were retrieved to identify differentially expressed m7G-related lncRNAs connected with overall survival of CM. Then, Cox regression analyses was applied to construct a lncRNA risk signature, the prognostic value of identified signature was further evaluated. As a result, 6 m7G-associated lncRNAs that were significantly related to CM prognosis were incorporated into our prognostic signature. The functional analyses indicated that the prognostic model was correlated with patient survival, cancer metastasis, and growth. Meanwhile, its diagnostic accuracy was better than conventional clinicopathological characteristics. The pathway enrichment analysis showed that the risk model was enriched in several immunity-associated pathways. Moreover, the signature model was significantly connected with the immune subtypes, infiltration of immune cells, immune microenvironment, as well as several m6A-related genes and tumor stem cells. Finally, a nomogram based on the calculated risk score was established. Overall, a risk signature based on 6 m7G-associated lncRNAs was generated which presented predictive value for the prognosis of CM patients and can be further used in the development of novel therapeutic strategies for CM.
format Online
Article
Text
id pubmed-9271298
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Impact Journals
record_format MEDLINE/PubMed
spelling pubmed-92712982022-07-13 Identification of m7G-associated lncRNA prognostic signature for predicting the immune status in cutaneous melanoma Rong, Jielin Wang, Hui Yao, Yi Wu, Zhengyuan Chen, Leilei Jin, Chaojie Shi, Zhaoyang Wu, Cheng Hu, Xueqing Aging (Albany NY) Research Paper RNA modifications, including RNA methylation, are widely existed in cutaneous melanoma (CM). Among epigenetic modifications, N7-methylguanosine (m7G) is a kind of modification at 5’ cap of RNA which participate in maintaining the stability of mRNA and various cell biological processes. However, there is still no study concerning the relationship between CM and m7G methylation complexes, METTL1 and WDR4. Here, long non-coding RNA (lncRNAs) and gene expression data of CM from the Cancer Genome Atlas (TCGA) database were retrieved to identify differentially expressed m7G-related lncRNAs connected with overall survival of CM. Then, Cox regression analyses was applied to construct a lncRNA risk signature, the prognostic value of identified signature was further evaluated. As a result, 6 m7G-associated lncRNAs that were significantly related to CM prognosis were incorporated into our prognostic signature. The functional analyses indicated that the prognostic model was correlated with patient survival, cancer metastasis, and growth. Meanwhile, its diagnostic accuracy was better than conventional clinicopathological characteristics. The pathway enrichment analysis showed that the risk model was enriched in several immunity-associated pathways. Moreover, the signature model was significantly connected with the immune subtypes, infiltration of immune cells, immune microenvironment, as well as several m6A-related genes and tumor stem cells. Finally, a nomogram based on the calculated risk score was established. Overall, a risk signature based on 6 m7G-associated lncRNAs was generated which presented predictive value for the prognosis of CM patients and can be further used in the development of novel therapeutic strategies for CM. Impact Journals 2022-06-29 /pmc/articles/PMC9271298/ /pubmed/35771136 http://dx.doi.org/10.18632/aging.204151 Text en Copyright: © 2022 Rong et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Rong, Jielin
Wang, Hui
Yao, Yi
Wu, Zhengyuan
Chen, Leilei
Jin, Chaojie
Shi, Zhaoyang
Wu, Cheng
Hu, Xueqing
Identification of m7G-associated lncRNA prognostic signature for predicting the immune status in cutaneous melanoma
title Identification of m7G-associated lncRNA prognostic signature for predicting the immune status in cutaneous melanoma
title_full Identification of m7G-associated lncRNA prognostic signature for predicting the immune status in cutaneous melanoma
title_fullStr Identification of m7G-associated lncRNA prognostic signature for predicting the immune status in cutaneous melanoma
title_full_unstemmed Identification of m7G-associated lncRNA prognostic signature for predicting the immune status in cutaneous melanoma
title_short Identification of m7G-associated lncRNA prognostic signature for predicting the immune status in cutaneous melanoma
title_sort identification of m7g-associated lncrna prognostic signature for predicting the immune status in cutaneous melanoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271298/
https://www.ncbi.nlm.nih.gov/pubmed/35771136
http://dx.doi.org/10.18632/aging.204151
work_keys_str_mv AT rongjielin identificationofm7gassociatedlncrnaprognosticsignatureforpredictingtheimmunestatusincutaneousmelanoma
AT wanghui identificationofm7gassociatedlncrnaprognosticsignatureforpredictingtheimmunestatusincutaneousmelanoma
AT yaoyi identificationofm7gassociatedlncrnaprognosticsignatureforpredictingtheimmunestatusincutaneousmelanoma
AT wuzhengyuan identificationofm7gassociatedlncrnaprognosticsignatureforpredictingtheimmunestatusincutaneousmelanoma
AT chenleilei identificationofm7gassociatedlncrnaprognosticsignatureforpredictingtheimmunestatusincutaneousmelanoma
AT jinchaojie identificationofm7gassociatedlncrnaprognosticsignatureforpredictingtheimmunestatusincutaneousmelanoma
AT shizhaoyang identificationofm7gassociatedlncrnaprognosticsignatureforpredictingtheimmunestatusincutaneousmelanoma
AT wucheng identificationofm7gassociatedlncrnaprognosticsignatureforpredictingtheimmunestatusincutaneousmelanoma
AT huxueqing identificationofm7gassociatedlncrnaprognosticsignatureforpredictingtheimmunestatusincutaneousmelanoma