The expression landscape and clinical significance of methyltransferase-like 17 in human cancer and hepatocellular carcinoma: a pan-cancer analysis using multiple databases
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...
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2025-01-01
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| Series: | Cancer Cell International |
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| Online Access: | https://doi.org/10.1186/s12935-024-03616-7 |
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| author | Yezhou Ding Mingyang Feng Wanqing Chi Xiaoyin Wang Baoyan An Kehui Liu Shike Lou Xiaolin Wang Hui Wang |
| author_facet | Yezhou Ding Mingyang Feng Wanqing Chi Xiaoyin Wang Baoyan An Kehui Liu Shike Lou Xiaolin Wang Hui Wang |
| author_sort | Yezhou Ding |
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| description | 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. |
| format | Article |
| id | doaj-art-2bbdd6c6dfed4220b7a22fbd6eae7a8f |
| institution | Kabale University |
| issn | 1475-2867 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
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| series | Cancer Cell International |
| spelling | doaj-art-2bbdd6c6dfed4220b7a22fbd6eae7a8f2025-01-19T12:39:35ZengBMCCancer Cell International1475-28672025-01-0125111810.1186/s12935-024-03616-7The expression landscape and clinical significance of methyltransferase-like 17 in human cancer and hepatocellular carcinoma: a pan-cancer analysis using multiple databasesYezhou Ding0Mingyang Feng1Wanqing Chi2Xiaoyin Wang3Baoyan An4Kehui Liu5Shike Lou6Xiaolin Wang7Hui Wang8Department of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineEpidemiology of Microbial Diseases Department, Yale University School of Public HealthDepartment of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Infectious Diseases, East Hospital, Tongji UniversityDepartment of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Infectious Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineAbstract 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.https://doi.org/10.1186/s12935-024-03616-7Methyltransferase-like 17Pan-cancerPrognosisHepatocellular carcinomaImmune microenvironmentPrognostic model |
| spellingShingle | Yezhou Ding Mingyang Feng Wanqing Chi Xiaoyin Wang Baoyan An Kehui Liu Shike Lou Xiaolin Wang Hui Wang The expression landscape and clinical significance of methyltransferase-like 17 in human cancer and hepatocellular carcinoma: a pan-cancer analysis using multiple databases Cancer Cell International Methyltransferase-like 17 Pan-cancer Prognosis Hepatocellular carcinoma Immune microenvironment Prognostic model |
| title | The expression landscape and clinical significance of methyltransferase-like 17 in human cancer and hepatocellular carcinoma: a pan-cancer analysis using multiple databases |
| title_full | The expression landscape and clinical significance of methyltransferase-like 17 in human cancer and hepatocellular carcinoma: a pan-cancer analysis using multiple databases |
| title_fullStr | The expression landscape and clinical significance of methyltransferase-like 17 in human cancer and hepatocellular carcinoma: a pan-cancer analysis using multiple databases |
| title_full_unstemmed | The expression landscape and clinical significance of methyltransferase-like 17 in human cancer and hepatocellular carcinoma: a pan-cancer analysis using multiple databases |
| title_short | The expression landscape and clinical significance of methyltransferase-like 17 in human cancer and hepatocellular carcinoma: a pan-cancer analysis using multiple databases |
| title_sort | expression landscape and clinical significance of methyltransferase like 17 in human cancer and hepatocellular carcinoma a pan cancer analysis using multiple databases |
| topic | Methyltransferase-like 17 Pan-cancer Prognosis Hepatocellular carcinoma Immune microenvironment Prognostic model |
| url | https://doi.org/10.1186/s12935-024-03616-7 |
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