Melanoma molecular subtyping and scoring model construction based on ligand-receptor pairs
Melanoma is a malignancy of melanocytes, responsible for a high percentage of skin cancer mortality. Ligand-Receptor pairs, a type of cellular communication, are essential for tumor genesis, growth, metastasis, and prognosis. Yet, the role of Ligand-Receptor pairs in melanoma has not been fully eluc...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909287/ https://www.ncbi.nlm.nih.gov/pubmed/36777724 http://dx.doi.org/10.3389/fgene.2023.1098202 |
_version_ | 1784884541876338688 |
---|---|
author | Lin, Zexu Lin, Xin Sun, Yuming Lei, Shaorong Cai, Gengming Li, Zhexuan |
author_facet | Lin, Zexu Lin, Xin Sun, Yuming Lei, Shaorong Cai, Gengming Li, Zhexuan |
author_sort | Lin, Zexu |
collection | PubMed |
description | Melanoma is a malignancy of melanocytes, responsible for a high percentage of skin cancer mortality. Ligand-Receptor pairs, a type of cellular communication, are essential for tumor genesis, growth, metastasis, and prognosis. Yet, the role of Ligand-Receptor pairs in melanoma has not been fully elucidated. Our research focused on the function of Ligand-Receptor pairs in melanoma prognosis. We screened 131 melanoma prognosis corresponded ligand-receptor pairs by analyzing the TCGA data of melanoma and the 2293 LR pairs retrieved from the connectomeDB2020 database. And further developed subtypes of melanoma according to the expression of these ligand-receptor pairs by Consensus Clustering. Then we using lasso cox regression and stepwise multivariate regression analysis established a ligand-receptor pairs-based scoring model for the evaluation of melanoma prognosis. Our study demonstrated that the ligand-receptor pairs are vital to the molecular heterogeneity of melanoma, and characterized three different melanoma ligand-receptor pairs subtypes. Among them, the C3 subtype showed a better prognosis, while the C1 subtype exhibited a low prognosis state. And our analysis then found out that this could be related to the differed activation and inhabitation of the cell cycle and immune-related pathways. Using lasso cox regression and stepwise multivariate regression analysis, we further identified 9 key ligand-receptor pairs and established a scoring model that effectively correlated with the prognosis, immune pathways, and therapy of melanoma, showing that the LR.score model was a trustworthy and independent biomarker for melanoma prognosis evaluation. In sum, we found that ligand-receptor pairs are significantly associated with the prognosis and therapy of melanoma. And our ligand-receptor-based scoring model showed potential for the evaluation of melanoma prognosis and immune therapy outcome prediction, which is crucial to the survival for the patients. |
format | Online Article Text |
id | pubmed-9909287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99092872023-02-10 Melanoma molecular subtyping and scoring model construction based on ligand-receptor pairs Lin, Zexu Lin, Xin Sun, Yuming Lei, Shaorong Cai, Gengming Li, Zhexuan Front Genet Genetics Melanoma is a malignancy of melanocytes, responsible for a high percentage of skin cancer mortality. Ligand-Receptor pairs, a type of cellular communication, are essential for tumor genesis, growth, metastasis, and prognosis. Yet, the role of Ligand-Receptor pairs in melanoma has not been fully elucidated. Our research focused on the function of Ligand-Receptor pairs in melanoma prognosis. We screened 131 melanoma prognosis corresponded ligand-receptor pairs by analyzing the TCGA data of melanoma and the 2293 LR pairs retrieved from the connectomeDB2020 database. And further developed subtypes of melanoma according to the expression of these ligand-receptor pairs by Consensus Clustering. Then we using lasso cox regression and stepwise multivariate regression analysis established a ligand-receptor pairs-based scoring model for the evaluation of melanoma prognosis. Our study demonstrated that the ligand-receptor pairs are vital to the molecular heterogeneity of melanoma, and characterized three different melanoma ligand-receptor pairs subtypes. Among them, the C3 subtype showed a better prognosis, while the C1 subtype exhibited a low prognosis state. And our analysis then found out that this could be related to the differed activation and inhabitation of the cell cycle and immune-related pathways. Using lasso cox regression and stepwise multivariate regression analysis, we further identified 9 key ligand-receptor pairs and established a scoring model that effectively correlated with the prognosis, immune pathways, and therapy of melanoma, showing that the LR.score model was a trustworthy and independent biomarker for melanoma prognosis evaluation. In sum, we found that ligand-receptor pairs are significantly associated with the prognosis and therapy of melanoma. And our ligand-receptor-based scoring model showed potential for the evaluation of melanoma prognosis and immune therapy outcome prediction, which is crucial to the survival for the patients. Frontiers Media S.A. 2023-01-26 /pmc/articles/PMC9909287/ /pubmed/36777724 http://dx.doi.org/10.3389/fgene.2023.1098202 Text en Copyright © 2023 Lin, Lin, Sun, Lei, Cai and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Lin, Zexu Lin, Xin Sun, Yuming Lei, Shaorong Cai, Gengming Li, Zhexuan Melanoma molecular subtyping and scoring model construction based on ligand-receptor pairs |
title | Melanoma molecular subtyping and scoring model construction based on ligand-receptor pairs |
title_full | Melanoma molecular subtyping and scoring model construction based on ligand-receptor pairs |
title_fullStr | Melanoma molecular subtyping and scoring model construction based on ligand-receptor pairs |
title_full_unstemmed | Melanoma molecular subtyping and scoring model construction based on ligand-receptor pairs |
title_short | Melanoma molecular subtyping and scoring model construction based on ligand-receptor pairs |
title_sort | melanoma molecular subtyping and scoring model construction based on ligand-receptor pairs |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909287/ https://www.ncbi.nlm.nih.gov/pubmed/36777724 http://dx.doi.org/10.3389/fgene.2023.1098202 |
work_keys_str_mv | AT linzexu melanomamolecularsubtypingandscoringmodelconstructionbasedonligandreceptorpairs AT linxin melanomamolecularsubtypingandscoringmodelconstructionbasedonligandreceptorpairs AT sunyuming melanomamolecularsubtypingandscoringmodelconstructionbasedonligandreceptorpairs AT leishaorong melanomamolecularsubtypingandscoringmodelconstructionbasedonligandreceptorpairs AT caigengming melanomamolecularsubtypingandscoringmodelconstructionbasedonligandreceptorpairs AT lizhexuan melanomamolecularsubtypingandscoringmodelconstructionbasedonligandreceptorpairs |