Leveraging a cuproptosis-based signature to predict the prognosis and drug sensitivity of cutaneous melanoma
Abstract Immunotherapy is a vital treatment for patients with cutaneous melanoma (CM), but effective predictors to guide clinical immunotherapy are lacking. Cuproptosis is a newly discovered mode of cell death related to tumorigenesis. Exploring the relationship between the mode of cuproptosis and t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-01-01
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| Series: | Journal of Translational Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12967-023-03891-4 |
| _version_ | 1828041416777924608 |
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| author | Da Liu Fan Yang Tongtong Zhang Rui Mao |
| author_facet | Da Liu Fan Yang Tongtong Zhang Rui Mao |
| author_sort | Da Liu |
| collection | DOAJ |
| description | Abstract Immunotherapy is a vital treatment for patients with cutaneous melanoma (CM), but effective predictors to guide clinical immunotherapy are lacking. Cuproptosis is a newly discovered mode of cell death related to tumorigenesis. Exploring the relationship between the mode of cuproptosis and the effect of immunotherapy on CM could better guide clinical management. We clustered all patients with CM in the Cancer Genome Atlas (TCGA) database based on cuproptosis-related genes (CRGs). Prognosis, immunotherapeutic effect, tumor microenvironment score, expression of CD274, CTLA4, and PDCD1, and abundance of CD8 + T infiltration in group A were higher than in group B. Using a combination of LASSO and COX regression analysis, we identified 10 molecules significant to prognosis from differentially expressed genes between the two groups and constructed a cuproptosis-related scoring system (CRSS). Compared with the American Joint Committee on Cancer (AJCC) staging system, CRSS more accurately stratified CM patient risk and guided immunotherapy. CRSS successfully stratified risk and predicted the effect of immunotherapy in 869 patients with eight CM immunotherapy datasets and multiple other tumor immunotherapy cohorts. The nomogram model, which combined AJCC stage and CRSS, greatly improved the ability and accuracy of prognosis prediction. In general, our cuproptosis-related scoring system and nomogram model accurately stratified risk in CM patients and effectively predicted prognosis and the effect of immunotherapy in CM patients. |
| first_indexed | 2024-04-10T17:15:49Z |
| format | Article |
| id | doaj.art-102bcb20baff45029b3b75ceda14a05c |
| institution | Directory Open Access Journal |
| issn | 1479-5876 |
| language | English |
| last_indexed | 2024-04-10T17:15:49Z |
| publishDate | 2023-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Translational Medicine |
| spelling | doaj.art-102bcb20baff45029b3b75ceda14a05c2023-02-05T12:22:26ZengBMCJournal of Translational Medicine1479-58762023-01-0121111510.1186/s12967-023-03891-4Leveraging a cuproptosis-based signature to predict the prognosis and drug sensitivity of cutaneous melanomaDa Liu0Fan Yang1Tongtong Zhang2Rui Mao3Department of Dermatology, Xiangya Hospital, Central South UniversityEmergency Department, Peking University Third Hospital, Peking University School of MedicineThe Center of Gastrointestinal and Minimally Invasive Surgery, The Third People’s Hospital of ChengduDepartment of Dermatology, Xiangya Hospital, Central South UniversityAbstract Immunotherapy is a vital treatment for patients with cutaneous melanoma (CM), but effective predictors to guide clinical immunotherapy are lacking. Cuproptosis is a newly discovered mode of cell death related to tumorigenesis. Exploring the relationship between the mode of cuproptosis and the effect of immunotherapy on CM could better guide clinical management. We clustered all patients with CM in the Cancer Genome Atlas (TCGA) database based on cuproptosis-related genes (CRGs). Prognosis, immunotherapeutic effect, tumor microenvironment score, expression of CD274, CTLA4, and PDCD1, and abundance of CD8 + T infiltration in group A were higher than in group B. Using a combination of LASSO and COX regression analysis, we identified 10 molecules significant to prognosis from differentially expressed genes between the two groups and constructed a cuproptosis-related scoring system (CRSS). Compared with the American Joint Committee on Cancer (AJCC) staging system, CRSS more accurately stratified CM patient risk and guided immunotherapy. CRSS successfully stratified risk and predicted the effect of immunotherapy in 869 patients with eight CM immunotherapy datasets and multiple other tumor immunotherapy cohorts. The nomogram model, which combined AJCC stage and CRSS, greatly improved the ability and accuracy of prognosis prediction. In general, our cuproptosis-related scoring system and nomogram model accurately stratified risk in CM patients and effectively predicted prognosis and the effect of immunotherapy in CM patients.https://doi.org/10.1186/s12967-023-03891-4Cutaneous melanomaCuproptosis-related genesImmunotherapyPrognosisNomogram |
| spellingShingle | Da Liu Fan Yang Tongtong Zhang Rui Mao Leveraging a cuproptosis-based signature to predict the prognosis and drug sensitivity of cutaneous melanoma Journal of Translational Medicine Cutaneous melanoma Cuproptosis-related genes Immunotherapy Prognosis Nomogram |
| title | Leveraging a cuproptosis-based signature to predict the prognosis and drug sensitivity of cutaneous melanoma |
| title_full | Leveraging a cuproptosis-based signature to predict the prognosis and drug sensitivity of cutaneous melanoma |
| title_fullStr | Leveraging a cuproptosis-based signature to predict the prognosis and drug sensitivity of cutaneous melanoma |
| title_full_unstemmed | Leveraging a cuproptosis-based signature to predict the prognosis and drug sensitivity of cutaneous melanoma |
| title_short | Leveraging a cuproptosis-based signature to predict the prognosis and drug sensitivity of cutaneous melanoma |
| title_sort | leveraging a cuproptosis based signature to predict the prognosis and drug sensitivity of cutaneous melanoma |
| topic | Cutaneous melanoma Cuproptosis-related genes Immunotherapy Prognosis Nomogram |
| url | https://doi.org/10.1186/s12967-023-03891-4 |
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