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用于预测葡萄膜黑色素瘤患者预后的共刺激分子相关特征的鉴定与验证

Identification and validation of a costimulatory molecule-related signature to predict the prognosis for uveal melanoma patients.

作者信息

Zhao Minyao, Yu Yue, Song Zhengyu

机构信息

Department of Ophthalmology, Shanghai Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.

出版信息

Sci Rep. 2024 Apr 21;14(1):9146. doi: 10.1038/s41598-024-59827-5.

Abstract

Uveal melanoma (UVM) is the most common primary tumor in adult human eyes. Costimulatory molecules (CMs) are important in maintaining T cell biological functions and regulating immune responses. To investigate the role of CMs in UVM and exploit prognostic signature by bioinformatics analysis. This study aimed to identify and validate a CMs associated signature and investigate its role in the progression and prognosis of UVM. The expression profile data of training cohort and validation cohort were downloaded from The Cancer Genome Atlas (TCGA) dataset and the Gene Expression Omnibus (GEO) dataset. 60 CM genes were identified, and 34 genes were associated with prognosis by univariate Cox regression. A prognostic signature was established with six CM genes. Further, high- and low-risk groups were divided by the median, and Kaplan-Meier (K-M) curves indicated that high-risk patients presented a poorer prognosis. We analyzed the correlation of gender, age, stage, and risk score on prognosis by univariate and multivariate regression analysis. We found that risk score was the only risk factor for prognosis. Through the integration of the tumor immune microenvironment (TIME), it was found that the high-risk group presented more immune cell infiltration and expression of immune checkpoints and obtained higher immune scores. Enrichment analysis of the biological functions of the two groups revealed that the differential parts were mainly related to cell-cell adhesion, regulation of T-cell activation, and cytokine-cytokine receptor interaction. No differences in tumor mutation burden (TMB) were found between the two groups. GNA11 and BAP1 have higher mutation frequencies in high-risk patients. Finally, based on the Genomics of Drug Sensitivity in Cancer 2 (GDSC2) dataset, drug sensitivity analysis found that high-risk patients may be potential beneficiaries of the treatment of crizotinib or temozolomide. Taken together, our CM-related prognostic signature is a reliable biomarker that may provide ideas for future treatments for the disease.

摘要

葡萄膜黑色素瘤(UVM)是成人眼中最常见的原发性肿瘤。共刺激分子(CMs)在维持T细胞生物学功能和调节免疫反应中起重要作用。为了研究CMs在UVM中的作用,并通过生物信息学分析探索预后特征。本研究旨在识别和验证与CMs相关的特征,并研究其在UVM进展和预后中的作用。训练队列和验证队列的表达谱数据从癌症基因组图谱(TCGA)数据集和基因表达综合数据库(GEO)数据集下载。鉴定出60个CM基因,通过单变量Cox回归分析发现34个基因与预后相关。用6个CM基因建立了一个预后特征。此外,根据中位数将患者分为高风险组和低风险组,Kaplan-Meier(K-M)曲线表明高风险患者预后较差。我们通过单变量和多变量回归分析分析了性别、年龄、分期和风险评分与预后的相关性。我们发现风险评分是预后的唯一危险因素。通过整合肿瘤免疫微环境(TIME),发现高风险组呈现更多的免疫细胞浸润和免疫检查点表达,并获得更高的免疫评分。两组生物学功能的富集分析表明,差异部分主要与细胞间粘附、T细胞活化调节和细胞因子-细胞因子受体相互作用有关。两组之间未发现肿瘤突变负担(TMB)的差异。GNA11和BAP1在高风险患者中的突变频率较高。最后,基于癌症药物敏感性基因组学2(GDSC2)数据集,药物敏感性分析发现高风险患者可能是克唑替尼或替莫唑胺治疗的潜在受益者。综上所述,我们的CM相关预后特征是一种可靠的生物标志物,可能为该疾病的未来治疗提供思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bded/11033288/4127904f770b/41598_2024_59827_Fig1_HTML.jpg

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