The EMT-Related Genes GALNT3 and OAS1 are Associated with Immune Cell Infiltration and Poor Prognosis in Lung Adenocarcinoma
Background: Lung cancer is the main cause of cancer-related death, with epithelial-mesenchymal transition (EMT) playing an important role in the development of this disease. The EMT-related genes Polypeptide N-Acetylgalactosaminyltransferase 3 (GALNT3) and 2′-5′-Oligoadenylate Synthetase 1 (OAS1) ar...
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IMR Press
2023-10-01
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| Series: | Frontiers in Bioscience-Landmark |
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| Online Access: | https://www.imrpress.com/journal/FBL/28/10/10.31083/j.fbl2810271 |
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| author | Dan Luo Mengying Fang Le Shao Jue Wang Yuling Liang Mengqin Chen Xuemei Gui Jie Yan Wenjun Wang Lili Yu Xianming Fan Qibiao Wu |
| author_facet | Dan Luo Mengying Fang Le Shao Jue Wang Yuling Liang Mengqin Chen Xuemei Gui Jie Yan Wenjun Wang Lili Yu Xianming Fan Qibiao Wu |
| author_sort | Dan Luo |
| collection | DOAJ |
| description | Background: Lung cancer is the main cause of cancer-related death, with epithelial-mesenchymal transition (EMT) playing an important role in the development of this disease. The EMT-related genes Polypeptide N-Acetylgalactosaminyltransferase 3 (GALNT3) and 2′-5′-Oligoadenylate Synthetase 1 (OAS1) are involved in numerous tumor processes. Although these genes have been extensively studied in cancer, they have yet to be analyzed by multi-omics in lung adenocarcinoma (LUAD). Methods: EMT-related genes were identified by R and Venn diagram. Cox regression and Kaplan-Meier analysis were performed to evaluate patient survival, and the Gene Expression Profiling Interactive Analysis (GEPIA) database was used for correlation analysis. GeneCards and R packages were used to explore gene characterization and functional annotation. The Tumor Immune Estimation Resource (TIMER), Human Protein Atlas (HPA), University of Alabama at Birmingham Cancer (UALCAN), and The Cancer Genome Atlas (TCGA) databases were used to investigate gene expression, which was then confirmed by RT-PCR. Clinicopathological analysis was carried out using the UALCAN database. Functional mechanisms and multi-omics analysis were performed using DNA Methylation Interactive Visualization Database (DNMIVD), Targetscan, TIMER, Tumor–immune System Interactions Database (TISIDB) and cBioportal. Diagnostic values were calculated using ROC curve analysis. Results: A total of 320 EMT-related genes were identified in LUAD. Their characteristics were confirmed in the Database for Annotation, Visualization and Integrated Discovery (DAVID) database by the intersection of 855 and 3600 different genes from the Gene Expression Omnibus (GEO) and EMTome databases, respectively. Expression of the EMT-related genes GALNT3 and OAS1 was associated with the prognosis of LUAD patients. A positive correlation was observed between the expression of GALNT3 and OAS1, and their expression was higher in LUAD tissue than in normal lung tissue. This was confirmed using RT-PCR. Multi-omics analysis revealed that GALNT3 and OAS1 expression was associated with gene mutation and methylation, cellular immune infiltration, and several immune subtypes. A miRNA-GALNT3/OAS1 regulatory network was also found. Receiver operating characteristic (ROC) curve analysis found that GALNT3 and OAS1 expression combined had superior diagnostic value to that of each marker alone. Conclusions: GALNT3 and OAS1 expression are associated with immune cell infiltration and poor prognosis in LUAD. Their combined expression has high diagnostic value; hence, GALNT3 and OAS1 may be valuable biomarkers for the early detection of LUAD. |
| first_indexed | 2024-03-11T13:29:51Z |
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| spelling | doaj.art-d1099cd43ff843528a05a283f447a0202023-11-03T02:31:25ZengIMR PressFrontiers in Bioscience-Landmark2768-67012023-10-01281027110.31083/j.fbl2810271S2768-6701(23)00803-1The EMT-Related Genes GALNT3 and OAS1 are Associated with Immune Cell Infiltration and Poor Prognosis in Lung AdenocarcinomaDan Luo0Mengying Fang1Le Shao2Jue Wang3Yuling Liang4Mengqin Chen5Xuemei Gui6Jie Yan7Wenjun Wang8Lili Yu9Xianming Fan10Qibiao Wu11Faculty of Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Taipa, 999078 Macao, ChinaDepartment of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, 646099 Luzhou, Sichuan, ChinaCenter for Medical Research and Innovation, the First Hospital of Hunan University of Chinese Medicine, 410021 Changsha, Hunan, ChinaFaculty of Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Taipa, 999078 Macao, ChinaDepartment of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, 646099 Luzhou, Sichuan, ChinaDepartment of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, 646099 Luzhou, Sichuan, ChinaDepartment of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, 646099 Luzhou, Sichuan, ChinaDepartment of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, 646099 Luzhou, Sichuan, ChinaDepartment of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, 646099 Luzhou, Sichuan, ChinaFaculty of Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Taipa, 999078 Macao, ChinaDepartment of Respiratory and Critical Care Medicine, The Affiliated Hospital of Southwest Medical University, 646099 Luzhou, Sichuan, ChinaFaculty of Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Taipa, 999078 Macao, ChinaBackground: Lung cancer is the main cause of cancer-related death, with epithelial-mesenchymal transition (EMT) playing an important role in the development of this disease. The EMT-related genes Polypeptide N-Acetylgalactosaminyltransferase 3 (GALNT3) and 2′-5′-Oligoadenylate Synthetase 1 (OAS1) are involved in numerous tumor processes. Although these genes have been extensively studied in cancer, they have yet to be analyzed by multi-omics in lung adenocarcinoma (LUAD). Methods: EMT-related genes were identified by R and Venn diagram. Cox regression and Kaplan-Meier analysis were performed to evaluate patient survival, and the Gene Expression Profiling Interactive Analysis (GEPIA) database was used for correlation analysis. GeneCards and R packages were used to explore gene characterization and functional annotation. The Tumor Immune Estimation Resource (TIMER), Human Protein Atlas (HPA), University of Alabama at Birmingham Cancer (UALCAN), and The Cancer Genome Atlas (TCGA) databases were used to investigate gene expression, which was then confirmed by RT-PCR. Clinicopathological analysis was carried out using the UALCAN database. Functional mechanisms and multi-omics analysis were performed using DNA Methylation Interactive Visualization Database (DNMIVD), Targetscan, TIMER, Tumor–immune System Interactions Database (TISIDB) and cBioportal. Diagnostic values were calculated using ROC curve analysis. Results: A total of 320 EMT-related genes were identified in LUAD. Their characteristics were confirmed in the Database for Annotation, Visualization and Integrated Discovery (DAVID) database by the intersection of 855 and 3600 different genes from the Gene Expression Omnibus (GEO) and EMTome databases, respectively. Expression of the EMT-related genes GALNT3 and OAS1 was associated with the prognosis of LUAD patients. A positive correlation was observed between the expression of GALNT3 and OAS1, and their expression was higher in LUAD tissue than in normal lung tissue. This was confirmed using RT-PCR. Multi-omics analysis revealed that GALNT3 and OAS1 expression was associated with gene mutation and methylation, cellular immune infiltration, and several immune subtypes. A miRNA-GALNT3/OAS1 regulatory network was also found. Receiver operating characteristic (ROC) curve analysis found that GALNT3 and OAS1 expression combined had superior diagnostic value to that of each marker alone. Conclusions: GALNT3 and OAS1 expression are associated with immune cell infiltration and poor prognosis in LUAD. Their combined expression has high diagnostic value; hence, GALNT3 and OAS1 may be valuable biomarkers for the early detection of LUAD.https://www.imrpress.com/journal/FBL/28/10/10.31083/j.fbl2810271lung adenocarcinomaemtimmune infiltrationprognosisgalnt3oas1 |
| spellingShingle | Dan Luo Mengying Fang Le Shao Jue Wang Yuling Liang Mengqin Chen Xuemei Gui Jie Yan Wenjun Wang Lili Yu Xianming Fan Qibiao Wu The EMT-Related Genes GALNT3 and OAS1 are Associated with Immune Cell Infiltration and Poor Prognosis in Lung Adenocarcinoma Frontiers in Bioscience-Landmark lung adenocarcinoma emt immune infiltration prognosis galnt3 oas1 |
| title | The EMT-Related Genes GALNT3 and OAS1 are Associated with Immune Cell Infiltration and Poor Prognosis in Lung Adenocarcinoma |
| title_full | The EMT-Related Genes GALNT3 and OAS1 are Associated with Immune Cell Infiltration and Poor Prognosis in Lung Adenocarcinoma |
| title_fullStr | The EMT-Related Genes GALNT3 and OAS1 are Associated with Immune Cell Infiltration and Poor Prognosis in Lung Adenocarcinoma |
| title_full_unstemmed | The EMT-Related Genes GALNT3 and OAS1 are Associated with Immune Cell Infiltration and Poor Prognosis in Lung Adenocarcinoma |
| title_short | The EMT-Related Genes GALNT3 and OAS1 are Associated with Immune Cell Infiltration and Poor Prognosis in Lung Adenocarcinoma |
| title_sort | emt related genes galnt3 and oas1 are associated with immune cell infiltration and poor prognosis in lung adenocarcinoma |
| topic | lung adenocarcinoma emt immune infiltration prognosis galnt3 oas1 |
| url | https://www.imrpress.com/journal/FBL/28/10/10.31083/j.fbl2810271 |
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