{"title":"GTF2I是一种新型的肿瘤抑制转录因子,在肾癌中具有良好的预后。","authors":"Tikam Chand Dakal, Mony Thakur, Nancy George, Tiratha Raj Singh, Vinod Yadav, Abhishek Kumar","doi":"10.1093/intbio/zyaf001","DOIUrl":null,"url":null,"abstract":"<p><p>The role of GTF2I (General Transcription Factor2I) alteration has already been reported in thymic cancer as a valuable biomarker. However, the association of GTF2I mutation with renal cancer for prognosis of immunotherapy is not yet examined. The biologic and oncologic significance of GTF2I in renal cancer was examined at multiomics level such as mutation, copy number alteration, structural variants. The Cancer Genome Atlas (TCGA), Human Protein Atlas (HPA) were used to retrieve the omics data. The expression of GTF2I mRNA was quite significant in case of renal caner. Correlation among the GTF2I mRNA, mutation, CNA and structural variants was also studied. Interactome of GTF2I was also constructed using STRING database. Gain, amplification, and missense mutation exhibited a positive correlation between GTF2I mRNA expression and non-structural variants. Similarly, GTF2I mRNA expression and copy number alterations from GISTIC were positively correlated. High expression of GTF2I was associated with better overall survival indicating the less aggressive clinical features. Insight Box Investigating GTF2I's complex function as a tumor suppressor transcription factor in renal carcinoma provides fresh insights into its biologic and oncologic importance, especially when considering the prognosis of immunotherapy. Little is known about its possible use as a biomarker for renal cancer. Using a multiomics approach and utilizing information from the Human Protein Atlas (HPA) and The Cancer Genome Atlas (TCGA), our study clarifies the intricate relationship between mRNA expression, GTF2I changes, and clinical outcomes in renal cancer. Our results indicate that GTF2I expression may be used as a prognostic indicator because it is positively correlated with favorable survival outcomes. Furthermore, the molecular interactions behind GTF2I's functional significance in renal cancer are revealed by interactome analysis utilizing the STRING database, providing important information for further study and treatment approaches.</p>","PeriodicalId":80,"journal":{"name":"Integrative Biology","volume":"17 ","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"GTF2I acts as a novel tumor suppressor transcription factor and shows Favorable prognosis in renal cancer.\",\"authors\":\"Tikam Chand Dakal, Mony Thakur, Nancy George, Tiratha Raj Singh, Vinod Yadav, Abhishek Kumar\",\"doi\":\"10.1093/intbio/zyaf001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The role of GTF2I (General Transcription Factor2I) alteration has already been reported in thymic cancer as a valuable biomarker. However, the association of GTF2I mutation with renal cancer for prognosis of immunotherapy is not yet examined. The biologic and oncologic significance of GTF2I in renal cancer was examined at multiomics level such as mutation, copy number alteration, structural variants. The Cancer Genome Atlas (TCGA), Human Protein Atlas (HPA) were used to retrieve the omics data. The expression of GTF2I mRNA was quite significant in case of renal caner. Correlation among the GTF2I mRNA, mutation, CNA and structural variants was also studied. Interactome of GTF2I was also constructed using STRING database. Gain, amplification, and missense mutation exhibited a positive correlation between GTF2I mRNA expression and non-structural variants. Similarly, GTF2I mRNA expression and copy number alterations from GISTIC were positively correlated. High expression of GTF2I was associated with better overall survival indicating the less aggressive clinical features. Insight Box Investigating GTF2I's complex function as a tumor suppressor transcription factor in renal carcinoma provides fresh insights into its biologic and oncologic importance, especially when considering the prognosis of immunotherapy. Little is known about its possible use as a biomarker for renal cancer. Using a multiomics approach and utilizing information from the Human Protein Atlas (HPA) and The Cancer Genome Atlas (TCGA), our study clarifies the intricate relationship between mRNA expression, GTF2I changes, and clinical outcomes in renal cancer. Our results indicate that GTF2I expression may be used as a prognostic indicator because it is positively correlated with favorable survival outcomes. Furthermore, the molecular interactions behind GTF2I's functional significance in renal cancer are revealed by interactome analysis utilizing the STRING database, providing important information for further study and treatment approaches.</p>\",\"PeriodicalId\":80,\"journal\":{\"name\":\"Integrative Biology\",\"volume\":\"17 \",\"pages\":\"\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2025-01-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Integrative Biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1093/intbio/zyaf001\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Integrative Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/intbio/zyaf001","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
GTF2I acts as a novel tumor suppressor transcription factor and shows Favorable prognosis in renal cancer.
The role of GTF2I (General Transcription Factor2I) alteration has already been reported in thymic cancer as a valuable biomarker. However, the association of GTF2I mutation with renal cancer for prognosis of immunotherapy is not yet examined. The biologic and oncologic significance of GTF2I in renal cancer was examined at multiomics level such as mutation, copy number alteration, structural variants. The Cancer Genome Atlas (TCGA), Human Protein Atlas (HPA) were used to retrieve the omics data. The expression of GTF2I mRNA was quite significant in case of renal caner. Correlation among the GTF2I mRNA, mutation, CNA and structural variants was also studied. Interactome of GTF2I was also constructed using STRING database. Gain, amplification, and missense mutation exhibited a positive correlation between GTF2I mRNA expression and non-structural variants. Similarly, GTF2I mRNA expression and copy number alterations from GISTIC were positively correlated. High expression of GTF2I was associated with better overall survival indicating the less aggressive clinical features. Insight Box Investigating GTF2I's complex function as a tumor suppressor transcription factor in renal carcinoma provides fresh insights into its biologic and oncologic importance, especially when considering the prognosis of immunotherapy. Little is known about its possible use as a biomarker for renal cancer. Using a multiomics approach and utilizing information from the Human Protein Atlas (HPA) and The Cancer Genome Atlas (TCGA), our study clarifies the intricate relationship between mRNA expression, GTF2I changes, and clinical outcomes in renal cancer. Our results indicate that GTF2I expression may be used as a prognostic indicator because it is positively correlated with favorable survival outcomes. Furthermore, the molecular interactions behind GTF2I's functional significance in renal cancer are revealed by interactome analysis utilizing the STRING database, providing important information for further study and treatment approaches.
期刊介绍:
Integrative Biology publishes original biological research based on innovative experimental and theoretical methodologies that answer biological questions. The journal is multi- and inter-disciplinary, calling upon expertise and technologies from the physical sciences, engineering, computation, imaging, and mathematics to address critical questions in biological systems.
Research using experimental or computational quantitative technologies to characterise biological systems at the molecular, cellular, tissue and population levels is welcomed. Of particular interest are submissions contributing to quantitative understanding of how component properties at one level in the dimensional scale (nano to micro) determine system behaviour at a higher level of complexity.
Studies of synthetic systems, whether used to elucidate fundamental principles of biological function or as the basis for novel applications are also of interest.