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铜死亡相关的DNA甲基化特征预测皮肤黑色素瘤的预后和免疫微环境。

Cuproptosis-related DNA methylation signature predict prognosis and immune microenvironment in cutaneous melanoma.

作者信息

Zhu Liucun, Kang Xudong, Zhu Shuting, Wang Yanna, Guo Wenna, Zhu Rui

机构信息

School of Life Sciences, Shanghai University, Shanghai, China.

School of Life Sciences, Zhengzhou University, Zhengzhou, China.

出版信息

Discov Oncol. 2024 Jun 14;15(1):228. doi: 10.1007/s12672-024-01089-8.

Abstract

The prognosis for Cutaneous Melanoma (CM), a skin malignant tumor that is extremely aggressive, is not good. A recently identified type of controlled cell death that is intimately related to immunotherapy and the development of cancer is called cuproptosis. Using The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database, we developed and validated a DNA-methylation located in cuproptosis death-related gene prognostic signature (CRG-located DNA-methylation prognostic signature) to predict CM's prognosis. Kaplan-Meier analysis of our TCGA and GEO cohorts showed that high-risk patients had a shorter overall survival. The area under the curve (AUC) for the TCGA cohort was 0.742, while for the GEO cohort it was 0.733, according to the receiver operating characteristic (ROC) analysis. Furthermore, this signature was discovered as an independent prognostic indicator over CM patients based on Cox-regression analysis. Immunogenomic profiling indicated that majority immune-checkpoints got an opposite relationship with the signature, and patients in the group at low risk got higher immunophenoscore. Several immune pathways were enriched, according to functional enrichment analysis. In conclusion, a prognostic methylation signature for CM patients was established and confirmed. Because of its close relationship to the immune landscape, this signature may help clinicians make more accurate and individualized choices regarding therapy.

摘要

皮肤黑色素瘤(CM)是一种极具侵袭性的皮肤恶性肿瘤,其预后不佳。最近发现的一种与免疫疗法和癌症发展密切相关的可控细胞死亡类型称为铜死亡。利用癌症基因组图谱(TCGA)和基因表达综合数据库(GEO),我们开发并验证了一种位于铜死亡相关基因预后特征(CRG定位的DNA甲基化预后特征)中的DNA甲基化,以预测CM的预后。对我们的TCGA和GEO队列进行的Kaplan-Meier分析表明,高危患者的总生存期较短。根据受试者工作特征(ROC)分析,TCGA队列的曲线下面积(AUC)为0.742,而GEO队列的AUC为0.733。此外,根据Cox回归分析,该特征被发现是CM患者的独立预后指标。免疫基因组分析表明,大多数免疫检查点与该特征呈负相关,低风险组患者的免疫表型评分更高。功能富集分析表明,有几种免疫途径得到了富集。总之,建立并证实了CM患者的预后甲基化特征。由于其与免疫格局密切相关,该特征可能有助于临床医生在治疗方面做出更准确和个性化的选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b53/11178724/3168c4729650/12672_2024_1089_Fig1_HTML.jpg

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