The expression landscape and clinical significance of methyltransferase-like 17 in human cancer and hepatocellular carcinoma: a pan-cancer analysis using multiple databases.

IF 5.3 2区 医学 Q1 ONCOLOGY
Yezhou Ding, Mingyang Feng, Wanqing Chi, Xiaoyin Wang, Baoyan An, Kehui Liu, Shike Lou, Xiaolin Wang, Hui Wang
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引用次数: 0

Abstract

Background: Methyltransferase-like (METTL) family protein plays a crucial role in the progression of malignancies. However, the function of METTL17 across pan-cancers, especially in hepatocellular carcinoma (HCC) is still poorly understood.

Methods: All original data were downloaded from TCGA, GTEx, HPA, UCSC databases and various data portals. First, we comprehensively analyzed RNA-seq data from the HPA database of 25 human tissues. An array of bioinformatics methods was employed to explore the potential oncogenic roles of METTL17, including analyzing its related prognosis, mutation, landscapes, tumor stemness index, immune cell infiltration, and other factors among different tumors. Additionally, gene set enrichment analysis (GSEA) was used to analyze pathways associated with METTL17 in HCC. Immunohistochemistry (IHC) was performed on clinical samples to validate the differential expression of METTL17 in HCC and normal tissues. Ultimately, we constructed a METTL17-related risk-score model of HCC and validated its prognostic classification efficiency. Survival rates were calculated using the Kaplan-Meier method. Statistical significance was defined as P < 0.05.

Results: METTL17 was differentially expressed in various cancers. METTL17 maintained strong correlations with the cancer patient's prognosis, genetic alterations, tumor stemness index, and immune-infiltrated cells, etc. In addition, IHC experiments verified that METTL expression was significantly decreased in liver tissues of HCC patients compared to normal liver tissue. GESA analysis indicated METTL17 mainly involves oncogenic and immune-related pathways among HCC. MRPS5, CHCHD2, NCBP1, LRPPRC, DAP3, and BMS1 were included in a prognostic model based on METTL17's interaction networks. Kaplan-Meier survival analysis of the prognostic model showed that the overall survival (OS) of the low-risk group was significantly better than that of the high-risk group (P < 0.001). The area under the receiver operating characteristic (ROC) curve (AUC) of the 1-year, 3-year, and 5-year OS were 0.747, 0.671, and 0.631, respectively.

Conclusions: METTL17 may serve as a novel prognostic marker and therapeutic target for human tumors, offering a theoretical foundation for formulating more effective and tailored clinical treatment options for cancers, particularly HCC.

甲基转移酶样17在人类癌症和肝细胞癌中的表达格局和临床意义:一项使用多个数据库的泛癌症分析
背景:甲基转移酶样(METTL)家族蛋白在恶性肿瘤的进展中起着至关重要的作用。然而,METTL17在泛癌症中的功能,特别是在肝细胞癌(HCC)中的功能仍然知之甚少。方法:从TCGA、GTEx、HPA、UCSC数据库及各数据门户下载所有原始数据。首先,我们综合分析了HPA数据库中25个人体组织的RNA-seq数据。采用一系列生物信息学方法,分析METTL17在不同肿瘤中的相关预后、突变、景观、肿瘤干性指数、免疫细胞浸润等因素,探讨其潜在的致癌作用。此外,基因集富集分析(GSEA)用于分析HCC中与METTL17相关的途径。对临床样本进行免疫组化(IHC),验证METTL17在HCC和正常组织中的差异表达。最终,我们构建了mettl17相关的HCC风险评分模型,并验证了其预后分类效率。生存率采用Kaplan-Meier法计算。结果:METTL17在不同肿瘤中表达有差异。METTL17与癌症患者的预后、基因改变、肿瘤干性指数、免疫浸润细胞等保持着较强的相关性。此外,免疫组化实验证实,与正常肝组织相比,HCC患者肝组织中METTL表达明显降低。GESA分析显示,METTL17在HCC中主要参与致癌和免疫相关途径。MRPS5、CHCHD2、NCBP1、LRPPRC、DAP3和BMS1被纳入基于METTL17相互作用网络的预后模型。预后模型Kaplan-Meier生存分析显示,低危组的总生存期(OS)明显优于高危组(P)。结论:METTL17可能作为人类肿瘤新的预后标志物和治疗靶点,为癌症尤其是HCC制定更有效、更有针对性的临床治疗方案提供理论基础。
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来源期刊
CiteScore
10.90
自引率
1.70%
发文量
360
审稿时长
1 months
期刊介绍: Cancer Cell International publishes articles on all aspects of cancer cell biology, originating largely from, but not limited to, work using cell culture techniques. The journal focuses on novel cancer studies reporting data from biological experiments performed on cells grown in vitro, in two- or three-dimensional systems, and/or in vivo (animal experiments). These types of experiments have provided crucial data in many fields, from cell proliferation and transformation, to epithelial-mesenchymal interaction, to apoptosis, and host immune response to tumors. Cancer Cell International also considers articles that focus on novel technologies or novel pathways in molecular analysis and on epidemiological studies that may affect patient care, as well as articles reporting translational cancer research studies where in vitro discoveries are bridged to the clinic. As such, the journal is interested in laboratory and animal studies reporting on novel biomarkers of tumor progression and response to therapy and on their applicability to human cancers.
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