Seyedeh Kosar Rahimpour , Yasin Mirazimi , Seyedeh Zahra Shahrokhi , Mohammad Sayyadi , Maryam Kargar , Mohammad Rafiee
{"title":"急性髓系白血病中RAF1基因的诊断和预后相关性","authors":"Seyedeh Kosar Rahimpour , Yasin Mirazimi , Seyedeh Zahra Shahrokhi , Mohammad Sayyadi , Maryam Kargar , Mohammad Rafiee","doi":"10.1016/j.lrr.2025.100528","DOIUrl":null,"url":null,"abstract":"<div><div>Acute Myeloid Leukemia (AML) demands precise diagnostic and prognostic tools for accurate detection and personalized-treatment strategies. Using Real-Time PCR, we investigated the RAF1, miR-146 b-3p, and Circ-RPL15 network expression in AML. Because RAF1 is a crucial gene involved in various ways, it is considered a potential biomarker for prognosis and diagnosis. While no significant correlation was found within the network, RAF1 expression showed a marked difference between groups. ROC curve analysis for RAF1 demonstrated promising diagnostic performance, and our bioinformatics investigations supported its strong prognostic potential. Identifying such biomarkers can aid in developing better management based on patients' characteristics.</div></div>","PeriodicalId":38435,"journal":{"name":"Leukemia Research Reports","volume":"24 ","pages":"Article 100528"},"PeriodicalIF":0.9000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Diagnostic and prognostic relevance of RAF1 gene in acute myeloid leukemia\",\"authors\":\"Seyedeh Kosar Rahimpour , Yasin Mirazimi , Seyedeh Zahra Shahrokhi , Mohammad Sayyadi , Maryam Kargar , Mohammad Rafiee\",\"doi\":\"10.1016/j.lrr.2025.100528\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Acute Myeloid Leukemia (AML) demands precise diagnostic and prognostic tools for accurate detection and personalized-treatment strategies. Using Real-Time PCR, we investigated the RAF1, miR-146 b-3p, and Circ-RPL15 network expression in AML. Because RAF1 is a crucial gene involved in various ways, it is considered a potential biomarker for prognosis and diagnosis. While no significant correlation was found within the network, RAF1 expression showed a marked difference between groups. ROC curve analysis for RAF1 demonstrated promising diagnostic performance, and our bioinformatics investigations supported its strong prognostic potential. Identifying such biomarkers can aid in developing better management based on patients' characteristics.</div></div>\",\"PeriodicalId\":38435,\"journal\":{\"name\":\"Leukemia Research Reports\",\"volume\":\"24 \",\"pages\":\"Article 100528\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Leukemia Research Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2213048925000305\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Leukemia Research Reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213048925000305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"HEMATOLOGY","Score":null,"Total":0}
Diagnostic and prognostic relevance of RAF1 gene in acute myeloid leukemia
Acute Myeloid Leukemia (AML) demands precise diagnostic and prognostic tools for accurate detection and personalized-treatment strategies. Using Real-Time PCR, we investigated the RAF1, miR-146 b-3p, and Circ-RPL15 network expression in AML. Because RAF1 is a crucial gene involved in various ways, it is considered a potential biomarker for prognosis and diagnosis. While no significant correlation was found within the network, RAF1 expression showed a marked difference between groups. ROC curve analysis for RAF1 demonstrated promising diagnostic performance, and our bioinformatics investigations supported its strong prognostic potential. Identifying such biomarkers can aid in developing better management based on patients' characteristics.
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