Ferroptosis-Associated Classifier and Indicator for Prognostic Prediction in Cutaneous Melanoma
Ferroptosis plays a critical role in different types of cancers, but the prognostic impact of ferroptosis in cutaneous melanoma remains lacking. Therefore, ferroptosis-related genes (FRGs) were firstly obtained from the FerrDb database and the differentially expressed FRGs were identified by the “li...
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2021
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oai:doaj.org-article:c654ff41d11b49dbbfb654c4f9e635972021-11-08T02:35:26ZFerroptosis-Associated Classifier and Indicator for Prognostic Prediction in Cutaneous Melanoma1687-846910.1155/2021/3658196https://doaj.org/article/c654ff41d11b49dbbfb654c4f9e635972021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/3658196https://doaj.org/toc/1687-8469Ferroptosis plays a critical role in different types of cancers, but the prognostic impact of ferroptosis in cutaneous melanoma remains lacking. Therefore, ferroptosis-related genes (FRGs) were firstly obtained from the FerrDb database and the differentially expressed FRGs were identified by the “limma” algorithm. Next, the prognostic differentially expressed FRGs were screened out by univariate Cox regression, which were subsequently used to cluster melanomas into two subtypes (clusters A and B). Besides, the Boruta algorithm and principal component analysis (PCA) were performed to build a 15-FRGs indicator, which can robustly predict patients’ overall survival (OS) and be considered as an independent prognostic factor in melanoma. The melanoma patients were further divided into high- and low-FRGs score groups. The high score group have a good prognosis, with higher T cell immune infiltrating and lower mutation frequencies in NRAS, KRAS, and NF1. Finally, we discovered that many immune processes and several chemotherapy drugs were closely associated with FRGs score. Thus, our study provides a novel ferroptosis-associated classifier and indicator to predict the prognosis of melanoma. Besides, we identified several potential chemotherapy drugs to induce ferroptosis and could supply additional effective treatments.Hao ZengCong YouLeran ZhaoJiangyi WangXiaoying YeTao YangChunlei WanLongying DengHindawi LimitedarticleNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENJournal of Oncology, Vol 2021 (2021) |
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 |
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Hao Zeng Cong You Leran Zhao Jiangyi Wang Xiaoying Ye Tao Yang Chunlei Wan Longying Deng Ferroptosis-Associated Classifier and Indicator for Prognostic Prediction in Cutaneous Melanoma |
description |
Ferroptosis plays a critical role in different types of cancers, but the prognostic impact of ferroptosis in cutaneous melanoma remains lacking. Therefore, ferroptosis-related genes (FRGs) were firstly obtained from the FerrDb database and the differentially expressed FRGs were identified by the “limma” algorithm. Next, the prognostic differentially expressed FRGs were screened out by univariate Cox regression, which were subsequently used to cluster melanomas into two subtypes (clusters A and B). Besides, the Boruta algorithm and principal component analysis (PCA) were performed to build a 15-FRGs indicator, which can robustly predict patients’ overall survival (OS) and be considered as an independent prognostic factor in melanoma. The melanoma patients were further divided into high- and low-FRGs score groups. The high score group have a good prognosis, with higher T cell immune infiltrating and lower mutation frequencies in NRAS, KRAS, and NF1. Finally, we discovered that many immune processes and several chemotherapy drugs were closely associated with FRGs score. Thus, our study provides a novel ferroptosis-associated classifier and indicator to predict the prognosis of melanoma. Besides, we identified several potential chemotherapy drugs to induce ferroptosis and could supply additional effective treatments. |
format |
article |
author |
Hao Zeng Cong You Leran Zhao Jiangyi Wang Xiaoying Ye Tao Yang Chunlei Wan Longying Deng |
author_facet |
Hao Zeng Cong You Leran Zhao Jiangyi Wang Xiaoying Ye Tao Yang Chunlei Wan Longying Deng |
author_sort |
Hao Zeng |
title |
Ferroptosis-Associated Classifier and Indicator for Prognostic Prediction in Cutaneous Melanoma |
title_short |
Ferroptosis-Associated Classifier and Indicator for Prognostic Prediction in Cutaneous Melanoma |
title_full |
Ferroptosis-Associated Classifier and Indicator for Prognostic Prediction in Cutaneous Melanoma |
title_fullStr |
Ferroptosis-Associated Classifier and Indicator for Prognostic Prediction in Cutaneous Melanoma |
title_full_unstemmed |
Ferroptosis-Associated Classifier and Indicator for Prognostic Prediction in Cutaneous Melanoma |
title_sort |
ferroptosis-associated classifier and indicator for prognostic prediction in cutaneous melanoma |
publisher |
Hindawi Limited |
publishDate |
2021 |
url |
https://doaj.org/article/c654ff41d11b49dbbfb654c4f9e63597 |
work_keys_str_mv |
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