Comprehensive analysis of the expression and prognostic value of ARMCs in pancreatic adenocarcinoma
Abstract Background Pancreatic adenocarcinoma (PAAD) has a very poor prognosis, and there are few treatments for PAAD. Therefore, it is important to find some biomarkers for the diagnosis and treatment of PAAD. Although some members of Armadillo repeat containing proteins (ARMCs) have been implicate...
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BMC
2025-01-01
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| Online Access: | https://doi.org/10.1186/s12885-024-13365-5 |
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| author | Guanxiang Zhuo Shengzhai Lin Fei Yuan Qiaoling Zheng Yinpin Guo Zuwei Wang Jianfei Hu Meihong Yao Fuxiu Zhong Shi Chen Yanling Chen Huixing Chen |
| author_facet | Guanxiang Zhuo Shengzhai Lin Fei Yuan Qiaoling Zheng Yinpin Guo Zuwei Wang Jianfei Hu Meihong Yao Fuxiu Zhong Shi Chen Yanling Chen Huixing Chen |
| author_sort | Guanxiang Zhuo |
| collection | DOAJ |
| description | Abstract Background Pancreatic adenocarcinoma (PAAD) has a very poor prognosis, and there are few treatments for PAAD. Therefore, it is important to find some biomarkers for the diagnosis and treatment of PAAD. Although some members of Armadillo repeat containing proteins (ARMCs) have been implicated in the development of certain cancers, their relationship with PAAD remains unknown. In this study, we aimed to explore the expression and prognostic value of ARMCs in PAAD. Methods We used the The Cancer Genome Atlas (TCGA) database for survival analysis. Then, Gene Expression Profiling Interactive Analysis (GEPIA), the cBioPortal database, the Human Protein Atlas (HPA), Kaplan-Meier Plotter, LinkedOmics Database, Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG), Cytoscape and Timer were used to analyze the relationship between ARMCs and PAAD. In addition, we established a prognostic model of ARMCs for PAAD. Immunohistochemistry (IHC) was also performed. Then Image-J was used to analyze all images obtained from the experiment, and GraphPad-Prism (9.5.1) was used for statistical analysis to verify the expression of ARMCs in PAAD. Results In the TCGA database, the expressions of ARMC1, 2, 3, 5, 6, 7, 8, 9 and 10 in PAAD tissues were significantly higher than those in normal tissues. And higher expressions of ARMC1 and 10 were associated with lower survival rate of PAAD patients. In addition, ARMC2, 5, 6, and 10 were positively associated with advanced stages of PAAD. ARMCs mutations occur in 11% of PAAD patients, and missense mutations and amplification of ARMCs account for most of them. In addition, ARMC5 and ARMC10 were independent prognostic factors in univariate and multivariate Cox regression analyses. Finally, through our confirmation experiment, it was found that the expression of ARMC1 and 10 in PAAD tissues was significantly increased compared with those in paracancer tissue. Conclusion This study suggests that ARMCs may be able to play important roles in PAAD, and they can act as biomarkers, providing valuable clues for the treatment and diagnosis of PAAD. |
| format | Article |
| id | doaj-art-daefa1cea6064ff0b85ebbf5938dcb25 |
| institution | Kabale University |
| issn | 1471-2407 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
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| series | BMC Cancer |
| spelling | doaj-art-daefa1cea6064ff0b85ebbf5938dcb252025-01-12T12:27:14ZengBMCBMC Cancer1471-24072025-01-0125111810.1186/s12885-024-13365-5Comprehensive analysis of the expression and prognostic value of ARMCs in pancreatic adenocarcinomaGuanxiang Zhuo0Shengzhai Lin1Fei Yuan2Qiaoling Zheng3Yinpin Guo4Zuwei Wang5Jianfei Hu6Meihong Yao7Fuxiu Zhong8Shi Chen9Yanling Chen10Huixing Chen11Department of Hepatobiliary Surgery, Fujian Institute of Hepatobiliary Surgery, Fujian Medical University Union HospitalDepartment of Hepatobiliary Surgery, Fujian Institute of Hepatobiliary Surgery, Fujian Medical University Union HospitalDepartment of Hepatobiliary Surgery, Fujian Institute of Hepatobiliary Surgery, Fujian Medical University Union HospitalDepartment of Pathology, Fujian Medical University Union HospitalDepartment of Hepatobiliary Surgery, Fujian Institute of Hepatobiliary Surgery, Fujian Medical University Union HospitalShengli Clinical Medical College of Fujian Medical University, Fujian Medical UniversityShengli Clinical Medical College of Fujian Medical University, Fujian Medical UniversityDepartment of Pathology, Fujian Medical University Union HospitalDepartment of Hepatobiliary Surgery Nursing, Fujian Medical University Union HospitalShengli Clinical Medical College of Fujian Medical University, Fujian Medical UniversityDepartment of Hepatobiliary Surgery, Fujian Institute of Hepatobiliary Surgery, Fujian Medical University Union HospitalDepartment of Hepatobiliary Surgery, Fujian Institute of Hepatobiliary Surgery, Fujian Medical University Union HospitalAbstract Background Pancreatic adenocarcinoma (PAAD) has a very poor prognosis, and there are few treatments for PAAD. Therefore, it is important to find some biomarkers for the diagnosis and treatment of PAAD. Although some members of Armadillo repeat containing proteins (ARMCs) have been implicated in the development of certain cancers, their relationship with PAAD remains unknown. In this study, we aimed to explore the expression and prognostic value of ARMCs in PAAD. Methods We used the The Cancer Genome Atlas (TCGA) database for survival analysis. Then, Gene Expression Profiling Interactive Analysis (GEPIA), the cBioPortal database, the Human Protein Atlas (HPA), Kaplan-Meier Plotter, LinkedOmics Database, Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG), Cytoscape and Timer were used to analyze the relationship between ARMCs and PAAD. In addition, we established a prognostic model of ARMCs for PAAD. Immunohistochemistry (IHC) was also performed. Then Image-J was used to analyze all images obtained from the experiment, and GraphPad-Prism (9.5.1) was used for statistical analysis to verify the expression of ARMCs in PAAD. Results In the TCGA database, the expressions of ARMC1, 2, 3, 5, 6, 7, 8, 9 and 10 in PAAD tissues were significantly higher than those in normal tissues. And higher expressions of ARMC1 and 10 were associated with lower survival rate of PAAD patients. In addition, ARMC2, 5, 6, and 10 were positively associated with advanced stages of PAAD. ARMCs mutations occur in 11% of PAAD patients, and missense mutations and amplification of ARMCs account for most of them. In addition, ARMC5 and ARMC10 were independent prognostic factors in univariate and multivariate Cox regression analyses. Finally, through our confirmation experiment, it was found that the expression of ARMC1 and 10 in PAAD tissues was significantly increased compared with those in paracancer tissue. Conclusion This study suggests that ARMCs may be able to play important roles in PAAD, and they can act as biomarkers, providing valuable clues for the treatment and diagnosis of PAAD.https://doi.org/10.1186/s12885-024-13365-5Pancreatic adenocarcinomaTumor markerARMCsImmune infiltrationPrognostic mode |
| spellingShingle | Guanxiang Zhuo Shengzhai Lin Fei Yuan Qiaoling Zheng Yinpin Guo Zuwei Wang Jianfei Hu Meihong Yao Fuxiu Zhong Shi Chen Yanling Chen Huixing Chen Comprehensive analysis of the expression and prognostic value of ARMCs in pancreatic adenocarcinoma BMC Cancer Pancreatic adenocarcinoma Tumor marker ARMCs Immune infiltration Prognostic mode |
| title | Comprehensive analysis of the expression and prognostic value of ARMCs in pancreatic adenocarcinoma |
| title_full | Comprehensive analysis of the expression and prognostic value of ARMCs in pancreatic adenocarcinoma |
| title_fullStr | Comprehensive analysis of the expression and prognostic value of ARMCs in pancreatic adenocarcinoma |
| title_full_unstemmed | Comprehensive analysis of the expression and prognostic value of ARMCs in pancreatic adenocarcinoma |
| title_short | Comprehensive analysis of the expression and prognostic value of ARMCs in pancreatic adenocarcinoma |
| title_sort | comprehensive analysis of the expression and prognostic value of armcs in pancreatic adenocarcinoma |
| topic | Pancreatic adenocarcinoma Tumor marker ARMCs Immune infiltration Prognostic mode |
| url | https://doi.org/10.1186/s12885-024-13365-5 |
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