Development and validation of a ferroptosis-related lncRNAs signature to predict prognosis and microenvironment for melanoma

Abstract Ferroptosis plays an important role in cancer. However, studies about ferroptosis-related lncRNAs (FRLs) in skin cutaneous melanoma (SKCM) are scarce. Moreover, the relationship between prognostic FRLs and tumor microenvironment (TME) in melanoma remains unclear. This study investigates the...

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Main Authors: Shuai Ping, Ruining Gong, Ke Lei, Gong Qing, Guangheng Zhang, Jianghai Chen
Format: Article
Language:English
Published: Springer 2022-11-01
Series:Discover Oncology
Subjects:
Online Access:https://doi.org/10.1007/s12672-022-00581-3
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author Shuai Ping
Ruining Gong
Ke Lei
Gong Qing
Guangheng Zhang
Jianghai Chen
author_facet Shuai Ping
Ruining Gong
Ke Lei
Gong Qing
Guangheng Zhang
Jianghai Chen
author_sort Shuai Ping
collection DOAJ
description Abstract Ferroptosis plays an important role in cancer. However, studies about ferroptosis-related lncRNAs (FRLs) in skin cutaneous melanoma (SKCM) are scarce. Moreover, the relationship between prognostic FRLs and tumor microenvironment (TME) in melanoma remains unclear. This study investigates the potential prognostic value of FRLs and their association with TME in SKCM. The RNA-sequencing data of SKCM were downloaded from The Cancer Genome Atlas (TCGA) database. Melanoma patients were randomly divided into training and testing groups in a 1:1 ratio. A signature composed of 19 FRLs was developed by the least absolute shrinkage and selection operator (LASSO) regression analysis to divide patients into a low-risk group with a better prognosis and a high-risk group with a poor prognosis. Multivariate Cox regression analysis suggested that the risk score was an independent prognostic factor. The Area Under Curve (AUC) value of the risk score reached 0.768 in the training group and 0.770 in the testing group. Subsequent analysis proved that immune-related signaling pathways were significantly enriched in the low-risk group. The tumor immune cell infiltration analysis demonstrated that melanoma in the high-risk group tended to be immunologically “cold”. We identified a novel FRLs signature which could accurately predict the prognosis of patients with melanoma.
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spelling doaj.art-aae1f576491e449c8ad8ecdc8925c9132022-12-22T04:14:25ZengSpringerDiscover Oncology2730-60112022-11-0113111510.1007/s12672-022-00581-3Development and validation of a ferroptosis-related lncRNAs signature to predict prognosis and microenvironment for melanomaShuai Ping0Ruining Gong1Ke Lei2Gong Qing3Guangheng Zhang4Jianghai Chen5Department of Gastroenterology, Tumor Immunology and Cytotherapy, Medical Research Center, The Affiliated Hospital of Qingdao UniversityDepartment of Gastroenterology, Tumor Immunology and Cytotherapy, Medical Research Center, The Affiliated Hospital of Qingdao UniversityTumor Immunology and Cytotherapy, Medical Research Center, The Affiliated Hospital of Qingdao UniversityDepartment of Gastroenterology, Tumor Immunology and Cytotherapy, Medical Research Center, The Affiliated Hospital of Qingdao UniversityDepartment of Orthopaedics, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Hand Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyAbstract Ferroptosis plays an important role in cancer. However, studies about ferroptosis-related lncRNAs (FRLs) in skin cutaneous melanoma (SKCM) are scarce. Moreover, the relationship between prognostic FRLs and tumor microenvironment (TME) in melanoma remains unclear. This study investigates the potential prognostic value of FRLs and their association with TME in SKCM. The RNA-sequencing data of SKCM were downloaded from The Cancer Genome Atlas (TCGA) database. Melanoma patients were randomly divided into training and testing groups in a 1:1 ratio. A signature composed of 19 FRLs was developed by the least absolute shrinkage and selection operator (LASSO) regression analysis to divide patients into a low-risk group with a better prognosis and a high-risk group with a poor prognosis. Multivariate Cox regression analysis suggested that the risk score was an independent prognostic factor. The Area Under Curve (AUC) value of the risk score reached 0.768 in the training group and 0.770 in the testing group. Subsequent analysis proved that immune-related signaling pathways were significantly enriched in the low-risk group. The tumor immune cell infiltration analysis demonstrated that melanoma in the high-risk group tended to be immunologically “cold”. We identified a novel FRLs signature which could accurately predict the prognosis of patients with melanoma.https://doi.org/10.1007/s12672-022-00581-3FerroptosislncRNAMelanomaPrognosisTumor microenvironment
spellingShingle Shuai Ping
Ruining Gong
Ke Lei
Gong Qing
Guangheng Zhang
Jianghai Chen
Development and validation of a ferroptosis-related lncRNAs signature to predict prognosis and microenvironment for melanoma
Discover Oncology
Ferroptosis
lncRNA
Melanoma
Prognosis
Tumor microenvironment
title Development and validation of a ferroptosis-related lncRNAs signature to predict prognosis and microenvironment for melanoma
title_full Development and validation of a ferroptosis-related lncRNAs signature to predict prognosis and microenvironment for melanoma
title_fullStr Development and validation of a ferroptosis-related lncRNAs signature to predict prognosis and microenvironment for melanoma
title_full_unstemmed Development and validation of a ferroptosis-related lncRNAs signature to predict prognosis and microenvironment for melanoma
title_short Development and validation of a ferroptosis-related lncRNAs signature to predict prognosis and microenvironment for melanoma
title_sort development and validation of a ferroptosis related lncrnas signature to predict prognosis and microenvironment for melanoma
topic Ferroptosis
lncRNA
Melanoma
Prognosis
Tumor microenvironment
url https://doi.org/10.1007/s12672-022-00581-3
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