Landscape and Clinical Significance of Immune Checkpoint in Cutaneous Melanoma
BackgroundThe incidence of cutaneous melanoma (CM) is increasing, and its prognosis is not optimistic. Although immune checkpoint (ICP) inhibitors are effective in the treatment of CM patients, they are not effective for all CM patients. There is an urgent need for a marker to predict both the progn...
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Frontiers Media S.A.
2021-12-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2021.756282/full |
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author | Rui Mao Fan Yang Tongtong Zhang Tongtong Zhang Ji Li Ji Li |
author_facet | Rui Mao Fan Yang Tongtong Zhang Tongtong Zhang Ji Li Ji Li |
author_sort | Rui Mao |
collection | DOAJ |
description | BackgroundThe incidence of cutaneous melanoma (CM) is increasing, and its prognosis is not optimistic. Although immune checkpoint (ICP) inhibitors are effective in the treatment of CM patients, they are not effective for all CM patients. There is an urgent need for a marker to predict both the prognosis and the immunotherapy effect in patients with CM.ApproachesTwo groups of patients with greatly different prognosis and response to immunotherapy were identified by unwatched cluster exploration of TCGA on the basis of 34 ICPs. The prognosis and immunotherapy effect of CM were predicted by developing a precise and given signature on the basis of ICPs, and a multivariate Cox risk regression model was established from the TCGA cohort consisting of 454 CM samples. The model was validated in 210 and 231 samples in the test and verification cohorts, respectively.ResultsThe prognosis in clinical subgroups was predicted by the classification system. High-risk patients had poorer responses to chemotherapy and immunotherapy. Finally, the signature was recognized as an independent prognostic factor. Based on checkpoint-based signature (ICPBS) and clinical characteristics, we constructed a nomogram for the prognosis in patients with CM, which was superior to ICPBS in efficacy than ICPBS alone.ConclusionAs a useful prognostic tool to further improve cancer immunotherapy, the signature can accurately predict recurrence and overall survival among patients with CM. |
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issn | 1664-3224 |
language | English |
last_indexed | 2024-12-22T00:42:56Z |
publishDate | 2021-12-01 |
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spelling | doaj.art-9281961dd4ca43f0a0ef7c001ba0d3762022-12-21T18:44:38ZengFrontiers Media S.A.Frontiers in Immunology1664-32242021-12-011210.3389/fimmu.2021.756282756282Landscape and Clinical Significance of Immune Checkpoint in Cutaneous MelanomaRui Mao0Fan Yang1Tongtong Zhang2Tongtong Zhang3Ji Li4Ji Li5Department of Dermatology, Xiangya Hospital, Central South University, Changsha, ChinaEmergency Department, Peking University Third Hospital, Peking University School of Medicine, Beijing, ChinaThe Center of Gastrointestinal and Minimally Invasive Surgery, The Third People’s Hospital of Chengdu, Chengdu, ChinaMedical Research Center, The Third People’s Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, The Second Chengdu Hospital Affiliated to Chongqing Medical University, Chengdu, ChinaDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha, ChinaHunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, ChinaBackgroundThe incidence of cutaneous melanoma (CM) is increasing, and its prognosis is not optimistic. Although immune checkpoint (ICP) inhibitors are effective in the treatment of CM patients, they are not effective for all CM patients. There is an urgent need for a marker to predict both the prognosis and the immunotherapy effect in patients with CM.ApproachesTwo groups of patients with greatly different prognosis and response to immunotherapy were identified by unwatched cluster exploration of TCGA on the basis of 34 ICPs. The prognosis and immunotherapy effect of CM were predicted by developing a precise and given signature on the basis of ICPs, and a multivariate Cox risk regression model was established from the TCGA cohort consisting of 454 CM samples. The model was validated in 210 and 231 samples in the test and verification cohorts, respectively.ResultsThe prognosis in clinical subgroups was predicted by the classification system. High-risk patients had poorer responses to chemotherapy and immunotherapy. Finally, the signature was recognized as an independent prognostic factor. Based on checkpoint-based signature (ICPBS) and clinical characteristics, we constructed a nomogram for the prognosis in patients with CM, which was superior to ICPBS in efficacy than ICPBS alone.ConclusionAs a useful prognostic tool to further improve cancer immunotherapy, the signature can accurately predict recurrence and overall survival among patients with CM.https://www.frontiersin.org/articles/10.3389/fimmu.2021.756282/fullskin cutaneous melanomaimmune checkpointprognosisnomogramimmunotherapy |
spellingShingle | Rui Mao Fan Yang Tongtong Zhang Tongtong Zhang Ji Li Ji Li Landscape and Clinical Significance of Immune Checkpoint in Cutaneous Melanoma Frontiers in Immunology skin cutaneous melanoma immune checkpoint prognosis nomogram immunotherapy |
title | Landscape and Clinical Significance of Immune Checkpoint in Cutaneous Melanoma |
title_full | Landscape and Clinical Significance of Immune Checkpoint in Cutaneous Melanoma |
title_fullStr | Landscape and Clinical Significance of Immune Checkpoint in Cutaneous Melanoma |
title_full_unstemmed | Landscape and Clinical Significance of Immune Checkpoint in Cutaneous Melanoma |
title_short | Landscape and Clinical Significance of Immune Checkpoint in Cutaneous Melanoma |
title_sort | landscape and clinical significance of immune checkpoint in cutaneous melanoma |
topic | skin cutaneous melanoma immune checkpoint prognosis nomogram immunotherapy |
url | https://www.frontiersin.org/articles/10.3389/fimmu.2021.756282/full |
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