Development of an immune-related gene pairs index for the prognosis analysis of metastatic melanoma
Abstract Melanoma is a skin cancer with great metastatic potential, which is responsible for the major deaths in skin cancer. Although the prognosis of melanoma patients has been improved with the comprehensive treatment, for patients with metastasis, the complexity and heterogeneity of diffuse dise...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-01-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-020-80858-1 |
| _version_ | 1818752046379040768 |
|---|---|
| author | Rong-zhi Huang Min Mao Jie Zheng Hai-qi Liang Feng-ling Liu Gui-you Zhou Yao-qing Huang Fan-yue Zeng Xu Li |
| author_facet | Rong-zhi Huang Min Mao Jie Zheng Hai-qi Liang Feng-ling Liu Gui-you Zhou Yao-qing Huang Fan-yue Zeng Xu Li |
| author_sort | Rong-zhi Huang |
| collection | DOAJ |
| description | Abstract Melanoma is a skin cancer with great metastatic potential, which is responsible for the major deaths in skin cancer. Although the prognosis of melanoma patients has been improved with the comprehensive treatment, for patients with metastasis, the complexity and heterogeneity of diffuse diseases make prognosis prediction and systematic treatment difficult and ineffective. Therefore, we established a novel personalized immune-related gene pairs index (IRGPI) to predict the prognosis of patients with metastatic melanoma, which was conducive to provide new insights into clinical decision-making and prognostic monitoring for metastatic melanoma. Through complex analysis and filtering, we identified 24 immune-related gene pairs to build the model and obtained the optimal cut-off value from receiver operating characteristic curves, which divided the patients into high and low immune-risk groups. Meantime, the Kaplan–Meier analysis, Cox regression analysis and subgroup analysis showed that IRGPI had excellent prognostic value. Furthermore, IRGPI was shown that was closely associated with immune system in the subsequent tumor microenvironment analysis and gene set enrichment analysis. In addition, we broken through the data processing limitations of traditional researches in different platforms through the application of gene pairs, which would provide great credibility for our model. We believe that our research would provide a new perspective for clinical decision-making and prognostic monitoring in metastatic melanoma. |
| first_indexed | 2024-12-18T04:45:14Z |
| format | Article |
| id | doaj.art-d93abdb063904a7ebeb8c0aeada82cd5 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-18T04:45:14Z |
| publishDate | 2021-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-d93abdb063904a7ebeb8c0aeada82cd52022-12-21T21:20:36ZengNature PortfolioScientific Reports2045-23222021-01-0111111210.1038/s41598-020-80858-1Development of an immune-related gene pairs index for the prognosis analysis of metastatic melanomaRong-zhi Huang0Min Mao1Jie Zheng2Hai-qi Liang3Feng-ling Liu4Gui-you Zhou5Yao-qing Huang6Fan-yue Zeng7Xu Li8Second Department of Orthopaedics, The First People’s Hospital of QinzhouThyroid Gland Breast Surgery, The First People’s Hospital of QinzhouGuangxi Medical UniversityGuangxi Medical UniversityGuangxi Medical UniversityGuangxi Medical UniversitySecond Department of Orthopaedics, The First People’s Hospital of QinzhouSecond Department of Orthopaedics, The First People’s Hospital of QinzhouSecond Department of Orthopaedics, The First People’s Hospital of QinzhouAbstract Melanoma is a skin cancer with great metastatic potential, which is responsible for the major deaths in skin cancer. Although the prognosis of melanoma patients has been improved with the comprehensive treatment, for patients with metastasis, the complexity and heterogeneity of diffuse diseases make prognosis prediction and systematic treatment difficult and ineffective. Therefore, we established a novel personalized immune-related gene pairs index (IRGPI) to predict the prognosis of patients with metastatic melanoma, which was conducive to provide new insights into clinical decision-making and prognostic monitoring for metastatic melanoma. Through complex analysis and filtering, we identified 24 immune-related gene pairs to build the model and obtained the optimal cut-off value from receiver operating characteristic curves, which divided the patients into high and low immune-risk groups. Meantime, the Kaplan–Meier analysis, Cox regression analysis and subgroup analysis showed that IRGPI had excellent prognostic value. Furthermore, IRGPI was shown that was closely associated with immune system in the subsequent tumor microenvironment analysis and gene set enrichment analysis. In addition, we broken through the data processing limitations of traditional researches in different platforms through the application of gene pairs, which would provide great credibility for our model. We believe that our research would provide a new perspective for clinical decision-making and prognostic monitoring in metastatic melanoma.https://doi.org/10.1038/s41598-020-80858-1 |
| spellingShingle | Rong-zhi Huang Min Mao Jie Zheng Hai-qi Liang Feng-ling Liu Gui-you Zhou Yao-qing Huang Fan-yue Zeng Xu Li Development of an immune-related gene pairs index for the prognosis analysis of metastatic melanoma Scientific Reports |
| title | Development of an immune-related gene pairs index for the prognosis analysis of metastatic melanoma |
| title_full | Development of an immune-related gene pairs index for the prognosis analysis of metastatic melanoma |
| title_fullStr | Development of an immune-related gene pairs index for the prognosis analysis of metastatic melanoma |
| title_full_unstemmed | Development of an immune-related gene pairs index for the prognosis analysis of metastatic melanoma |
| title_short | Development of an immune-related gene pairs index for the prognosis analysis of metastatic melanoma |
| title_sort | development of an immune related gene pairs index for the prognosis analysis of metastatic melanoma |
| url | https://doi.org/10.1038/s41598-020-80858-1 |
| work_keys_str_mv | AT rongzhihuang developmentofanimmunerelatedgenepairsindexfortheprognosisanalysisofmetastaticmelanoma AT minmao developmentofanimmunerelatedgenepairsindexfortheprognosisanalysisofmetastaticmelanoma AT jiezheng developmentofanimmunerelatedgenepairsindexfortheprognosisanalysisofmetastaticmelanoma AT haiqiliang developmentofanimmunerelatedgenepairsindexfortheprognosisanalysisofmetastaticmelanoma AT fenglingliu developmentofanimmunerelatedgenepairsindexfortheprognosisanalysisofmetastaticmelanoma AT guiyouzhou developmentofanimmunerelatedgenepairsindexfortheprognosisanalysisofmetastaticmelanoma AT yaoqinghuang developmentofanimmunerelatedgenepairsindexfortheprognosisanalysisofmetastaticmelanoma AT fanyuezeng developmentofanimmunerelatedgenepairsindexfortheprognosisanalysisofmetastaticmelanoma AT xuli developmentofanimmunerelatedgenepairsindexfortheprognosisanalysisofmetastaticmelanoma |