Haihui Zhuang, Fenglin Li, Renzhi Pei, Xia Jiang, Dong Chen, Shuangyue Li, Peipei Ye, Jiaojiao Yuan, Jiangyin Lian, Jie Jin, Ying Lu
{"title":"GPR183高表达可预测细胞遗传学正常的急性髓系白血病的低生存率。","authors":"Haihui Zhuang, Fenglin Li, Renzhi Pei, Xia Jiang, Dong Chen, Shuangyue Li, Peipei Ye, Jiaojiao Yuan, Jiangyin Lian, Jie Jin, Ying Lu","doi":"10.1007/s10528-025-11026-1","DOIUrl":null,"url":null,"abstract":"<p><p>Acute myeloid leukemia (AML) with a normal karyotype (CN-AML) constitutes approximately 50% of all AML cases, presenting significant prognostic variability, and highlighting the urgent need for the identification of novel molecular biomarkers. In this study, we systematically assessed GPR183 expression levels using qRT-PCR in our clinical follow-up study which included 283 CN-AML patients. Using Kaplan-Meier analysis, we found that patients with high GPR183 expression levels exhibited significantly worse overall survival (OS) (P = 0.046) and event-free survival (EFS) (P = 0.030) compared to those with low GPR183 expression. Comprehensive univariate and multivariate Cox regression analyses confirmed that GPR183 expression is a prognostic factor for OS and EFS (P < 0.05). To further validate these findings, we analyzed an independent cohort of 104 CN-AML patients from the GSE71014 dataset, corroborating our primary results, and indicating that high GPR183 expression is associated with poorer survival outcomes. Additionally, RNA-seq data from the GSE71014 dataset were analyzed by Gene Set Enrichment Analysis (GSEA). The results suggested that GPR183 may influence disease progression through the activation of the \"TNFa Signaling Via NF-κB\" pathway. Collectively, these findings suggested that GPR183 could serve as a valuable prognostic biomarker in CN-AML, offering insights into the underlying mechanisms of disease progression.</p>","PeriodicalId":482,"journal":{"name":"Biochemical Genetics","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High Expression of GPR183 Predicts Poor Survival in Cytogenetically Normal Acute Myeloid Leukemia.\",\"authors\":\"Haihui Zhuang, Fenglin Li, Renzhi Pei, Xia Jiang, Dong Chen, Shuangyue Li, Peipei Ye, Jiaojiao Yuan, Jiangyin Lian, Jie Jin, Ying Lu\",\"doi\":\"10.1007/s10528-025-11026-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Acute myeloid leukemia (AML) with a normal karyotype (CN-AML) constitutes approximately 50% of all AML cases, presenting significant prognostic variability, and highlighting the urgent need for the identification of novel molecular biomarkers. In this study, we systematically assessed GPR183 expression levels using qRT-PCR in our clinical follow-up study which included 283 CN-AML patients. Using Kaplan-Meier analysis, we found that patients with high GPR183 expression levels exhibited significantly worse overall survival (OS) (P = 0.046) and event-free survival (EFS) (P = 0.030) compared to those with low GPR183 expression. Comprehensive univariate and multivariate Cox regression analyses confirmed that GPR183 expression is a prognostic factor for OS and EFS (P < 0.05). To further validate these findings, we analyzed an independent cohort of 104 CN-AML patients from the GSE71014 dataset, corroborating our primary results, and indicating that high GPR183 expression is associated with poorer survival outcomes. Additionally, RNA-seq data from the GSE71014 dataset were analyzed by Gene Set Enrichment Analysis (GSEA). The results suggested that GPR183 may influence disease progression through the activation of the \\\"TNFa Signaling Via NF-κB\\\" pathway. Collectively, these findings suggested that GPR183 could serve as a valuable prognostic biomarker in CN-AML, offering insights into the underlying mechanisms of disease progression.</p>\",\"PeriodicalId\":482,\"journal\":{\"name\":\"Biochemical Genetics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-01-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biochemical Genetics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1007/s10528-025-11026-1\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochemical Genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s10528-025-11026-1","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
High Expression of GPR183 Predicts Poor Survival in Cytogenetically Normal Acute Myeloid Leukemia.
Acute myeloid leukemia (AML) with a normal karyotype (CN-AML) constitutes approximately 50% of all AML cases, presenting significant prognostic variability, and highlighting the urgent need for the identification of novel molecular biomarkers. In this study, we systematically assessed GPR183 expression levels using qRT-PCR in our clinical follow-up study which included 283 CN-AML patients. Using Kaplan-Meier analysis, we found that patients with high GPR183 expression levels exhibited significantly worse overall survival (OS) (P = 0.046) and event-free survival (EFS) (P = 0.030) compared to those with low GPR183 expression. Comprehensive univariate and multivariate Cox regression analyses confirmed that GPR183 expression is a prognostic factor for OS and EFS (P < 0.05). To further validate these findings, we analyzed an independent cohort of 104 CN-AML patients from the GSE71014 dataset, corroborating our primary results, and indicating that high GPR183 expression is associated with poorer survival outcomes. Additionally, RNA-seq data from the GSE71014 dataset were analyzed by Gene Set Enrichment Analysis (GSEA). The results suggested that GPR183 may influence disease progression through the activation of the "TNFa Signaling Via NF-κB" pathway. Collectively, these findings suggested that GPR183 could serve as a valuable prognostic biomarker in CN-AML, offering insights into the underlying mechanisms of disease progression.
期刊介绍:
Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses.
Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication.
Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses.
Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods.
Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.