Analysis and assessment of ferroptosis-related gene signatures and prognostic risk models in skin cutaneous melanoma.

IF 1.5 4区医学 Q4 ONCOLOGY

Translational cancer research Pub Date : 2025-03-30 Epub Date: 2025-03-19 DOI:10.21037/tcr-24-1506

Jianchao Ma, Yang Cai, Youqi Lu, Xu Fang

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引用次数: 0

Abstract

Background: The occurrence and development of skin cutaneous melanoma (SKCM) are significantly influenced by ferroptosis, a sort of regulated cell death characterized by iron deposition and lipid peroxidation. Although positive strides have been achieved in the present management of SKCM, it is still unknown exactly how ferroptosis occurs in this condition. We aimed to determine the role of prognostically relevant ferroptosis-related genes (PR-FRGs) in SKCM development and prognosis.

Methods: The training group was created using combined transcriptomic RNA data acquired from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases. The dataset GSE19234 was acquired from the Gene Expression Omnibus (GEO) database as a validation group. Differentially expressed ferroptosis-related genes (DE-FRGs) were obtained from the training group, of which 103 showed up-regulation and 77 showed down-regulation. Then, 12 PR-FRGs were identified by the protein-protein interaction (PPI) network and Cox regression analysis, and prognostic risk models and nomograms were constructed. The risk model was validated using a validation group, and the prognostic value of the risk model was analyzed. Finally, immunohistochemical data were obtained from the Human Protein Atlas (HPA) website to validate the PR-FRGs.

Results: Twelve PR-FRGs were identified. A prognostic risk model was built using PR-FRGs, and patients in the training and validation groups were classified as high or low risk based on the risk model. The outcomes demonstrated that the prognosis was better for the low-risk group. Prognostic value analysis showed that the prognostic risk model could accurately predict the patients' overall survival (OS), was superior to clinical traits such as age, gender, and tumor stage in predicting ability, and could be used as an independent predictor. Meanwhile, the nomogram constructed based on PR-FRGs can effectively predict the prognosis of SKCM patients. Finally, PR-FRGs were validated in the HPA database.

Conclusions: Ferroptosis affects the prognosis of SKCM patients. Prognostic risk model and nomogram constructed based on 12 PR-FRGs demonstrated significant advantages in predicting the prognosis of SKCM patients. This will help in the identification and prognostic prediction of SKCM and in the discovery of new individualized treatment modalities.

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皮肤黑色素瘤中铁中毒相关基因特征和预后风险模型的分析和评估。

背景：皮肤黑色素瘤（SKCM）的发生和发展受铁下沉的显著影响，铁下沉是一种以铁沉积和脂质过氧化为特征的调节细胞死亡。虽然目前在SKCM的治疗方面取得了积极的进展，但仍不清楚这种情况下铁下垂是如何发生的。我们的目的是确定预后相关铁凋亡相关基因（PR-FRGs）在SKCM发展和预后中的作用。方法：利用从癌症基因组图谱（TCGA）和基因型-组织表达（GTEx）数据库中获得的转录组RNA数据创建训练组。数据集GSE19234从Gene Expression Omnibus （GEO）数据库中获取作为验证组。从训练组获得差异表达的凋亡相关基因（DE-FRGs），其中103个表达上调，77个表达下调。然后，通过蛋白-蛋白相互作用（PPI）网络和Cox回归分析，鉴定出12个PR-FRGs，构建预后风险模型和形态图。采用验证组对风险模型进行验证，并分析风险模型的预后价值。最后，从人类蛋白图谱（Human Protein Atlas， HPA）网站获得免疫组织化学数据来验证PR-FRGs。结果：共鉴定出12个PR-FRGs。采用PR-FRGs建立预后风险模型，并根据风险模型将训练组和验证组患者分为高风险组和低风险组。结果显示低危组预后较好。预后价值分析显示，该预后风险模型能准确预测患者的总生存期（OS），预测能力优于年龄、性别、肿瘤分期等临床特征，可作为独立预测指标。同时，基于PR-FRGs构建的nomogram可以有效预测SKCM患者的预后。最后，在HPA数据库中对PR-FRGs进行验证。结论：上铁下垂影响SKCM患者的预后。基于12个PR-FRGs构建的预后风险模型和nomogram在预测SKCM患者预后方面具有显著优势。这将有助于SKCM的识别和预后预测，并有助于发现新的个体化治疗方式。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Translational cancer research ONCOLOGY-

CiteScore

2.10

自引率

0.00%

发文量

252

期刊介绍： Translational Cancer Research (Transl Cancer Res TCR; Print ISSN: 2218-676X; Online ISSN 2219-6803; http://tcr.amegroups.com/) is an Open Access, peer-reviewed journal, indexed in Science Citation Index Expanded (SCIE). TCR publishes laboratory studies of novel therapeutic interventions as well as clinical trials which evaluate new treatment paradigms for cancer; results of novel research investigations which bridge the laboratory and clinical settings including risk assessment, cellular and molecular characterization, prevention, detection, diagnosis and treatment of human cancers with the overall goal of improving the clinical care of cancer patients. The focus of TCR is original, peer-reviewed, science-based research that successfully advances clinical medicine toward the goal of improving patients'' quality of life. The editors and an international advisory group of scientists and clinician-scientists as well as other experts will hold TCR articles to the high-quality standards. We accept Original Articles as well as Review Articles, Editorials and Brief Articles.