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Construction of competing endogenous RNA interaction network as prognostic markers in metastatic melanoma

Malignant melanoma (MM) is a malignant tumor originating from melanocytes, with high aggressiveness, high metastasis and extremely poor prognosis. MM accounts for 4% of skin cancers and 80% of mortality, and the median survival of patients with metastatic melanoma is only about 6 months, with a five...

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Autores principales: He, Zan, Xin, Zijuan, Peng, Yongfei, Zhao, Hua, Fang, Xiangdong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449535/
https://www.ncbi.nlm.nih.gov/pubmed/34616613
http://dx.doi.org/10.7717/peerj.12143
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author He, Zan
Xin, Zijuan
Peng, Yongfei
Zhao, Hua
Fang, Xiangdong
author_facet He, Zan
Xin, Zijuan
Peng, Yongfei
Zhao, Hua
Fang, Xiangdong
author_sort He, Zan
collection PubMed
description Malignant melanoma (MM) is a malignant tumor originating from melanocytes, with high aggressiveness, high metastasis and extremely poor prognosis. MM accounts for 4% of skin cancers and 80% of mortality, and the median survival of patients with metastatic melanoma is only about 6 months, with a five-year survival rate of less than 10%. In recent years, the incidence of melanoma has gradually increased and has become one of the serious diseases that endanger human health. Competitive endogenous RNA (ceRNA) is the main model of the mechanism by which long chain non-coding RNAs (lncRNAs) play a regulatory role in the disease. LncRNAs can act as a “sponge”, competitively attracting small RNAs (micoRNAs; miRNAs), thus interfering with miRNA function, and affect the expression of target gene messenger RNAs (mRNAs), ultimately promoting tumorigenesis and progression. Bioinformatics analysis can identify potentially prognostic and therapeutically relevant differentially expressed genes in MM, finding lncRNAs, miRNAs and mRNAs that are interconnected through the ceRNA network, providing further insight into gene regulation and prognosis of metastatic melanoma. Weighted co-expression networks were used to identify lncRNA and mRNA modules associated with the metastatic phenotype, as well as the co-expression genes contained in the modules. A total of 17 lncRNAs, six miRNAs, and 11 mRNAs were used to construct a ceRNA interaction network that plays a regulatory role in metastatic melanoma patients. The prognostic risk model was used as a sorter to classify the survival prognosis of melanoma patients. Four groups of ceRNA interaction triplets were finally obtained, which miR-3662 might has potential implication for the treatment of metaststic melanoma patients, and futher experiments confirmed the regulating relationship and phenotype of this assumption. This study provides new targets to regulate metastatic process, predict metastatic potential and indicates that the miR-3662 can be used in the treatment of melanoma.
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spelling pubmed-84495352021-10-05 Construction of competing endogenous RNA interaction network as prognostic markers in metastatic melanoma He, Zan Xin, Zijuan Peng, Yongfei Zhao, Hua Fang, Xiangdong PeerJ Bioinformatics Malignant melanoma (MM) is a malignant tumor originating from melanocytes, with high aggressiveness, high metastasis and extremely poor prognosis. MM accounts for 4% of skin cancers and 80% of mortality, and the median survival of patients with metastatic melanoma is only about 6 months, with a five-year survival rate of less than 10%. In recent years, the incidence of melanoma has gradually increased and has become one of the serious diseases that endanger human health. Competitive endogenous RNA (ceRNA) is the main model of the mechanism by which long chain non-coding RNAs (lncRNAs) play a regulatory role in the disease. LncRNAs can act as a “sponge”, competitively attracting small RNAs (micoRNAs; miRNAs), thus interfering with miRNA function, and affect the expression of target gene messenger RNAs (mRNAs), ultimately promoting tumorigenesis and progression. Bioinformatics analysis can identify potentially prognostic and therapeutically relevant differentially expressed genes in MM, finding lncRNAs, miRNAs and mRNAs that are interconnected through the ceRNA network, providing further insight into gene regulation and prognosis of metastatic melanoma. Weighted co-expression networks were used to identify lncRNA and mRNA modules associated with the metastatic phenotype, as well as the co-expression genes contained in the modules. A total of 17 lncRNAs, six miRNAs, and 11 mRNAs were used to construct a ceRNA interaction network that plays a regulatory role in metastatic melanoma patients. The prognostic risk model was used as a sorter to classify the survival prognosis of melanoma patients. Four groups of ceRNA interaction triplets were finally obtained, which miR-3662 might has potential implication for the treatment of metaststic melanoma patients, and futher experiments confirmed the regulating relationship and phenotype of this assumption. This study provides new targets to regulate metastatic process, predict metastatic potential and indicates that the miR-3662 can be used in the treatment of melanoma. PeerJ Inc. 2021-09-15 /pmc/articles/PMC8449535/ /pubmed/34616613 http://dx.doi.org/10.7717/peerj.12143 Text en © 2021 He et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
He, Zan
Xin, Zijuan
Peng, Yongfei
Zhao, Hua
Fang, Xiangdong
Construction of competing endogenous RNA interaction network as prognostic markers in metastatic melanoma
title Construction of competing endogenous RNA interaction network as prognostic markers in metastatic melanoma
title_full Construction of competing endogenous RNA interaction network as prognostic markers in metastatic melanoma
title_fullStr Construction of competing endogenous RNA interaction network as prognostic markers in metastatic melanoma
title_full_unstemmed Construction of competing endogenous RNA interaction network as prognostic markers in metastatic melanoma
title_short Construction of competing endogenous RNA interaction network as prognostic markers in metastatic melanoma
title_sort construction of competing endogenous rna interaction network as prognostic markers in metastatic melanoma
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449535/
https://www.ncbi.nlm.nih.gov/pubmed/34616613
http://dx.doi.org/10.7717/peerj.12143
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