H. H. Kzar, Haider O. Mossa Al-Gazali, M. Al-Gazally, M. Wtwt
{"title":"HIF-1A基因表达折叠作为乳腺癌不同临床病理状态预后指标的受体工作特征分析","authors":"H. H. Kzar, Haider O. Mossa Al-Gazali, M. Al-Gazally, M. Wtwt","doi":"10.31838/SRP.2021.2.37","DOIUrl":null,"url":null,"abstract":"Background and objective: The highly prevalent and mortality type of cancer among women worldwide is breast cancer (BC). The mortality cases of BC are probably incidence by inadequate of the benefits of treatment and early detection, moreover the lack of appropriate facilities for diagnosis and detection. The aim of this work is to assess of using of ROC of HIF-1A mRNA GEF as a prognostic indicator in BC. Methods: The Total RNA was extracted from whole blood of both women with BC (n=120) and control (n=120) groups, then converted to cDNA. Amplification of HIF-1A gene (gene of interest, GOI-1) and GAPDH (as housekeeping gene, HKG) were done by quantitative real time polymerase chain reaction (qRT-PCR). ROC analysis was done by using QI Macros for Excel software. Graphs were prepared using Microsoft excel 2010. Results: The results of present study suggested that significant differences between the GER in women with BC (4.58) and GER in control group ( 1.03) (p-value< 0.05). The ROC curve analysis of GEF of HIF-1A mRNA as prognostic marker in women with BC group showed an area under the curve (AUC) of (0.833)(95% CI, 0.76-0.90) with a sensitivity of (82%) and specificity of (63%) at a cut off value 20.5. Conclusion: HIF-1A mRNA GEF is good prognostic indicator for diagnosis and differentiation between both metastasis and non- metastasis BC groups.","PeriodicalId":22121,"journal":{"name":"Systematic Reviews in Pharmacy","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Receiver Operating Characteristic Analysis Of HIF-1A Mrna Gene Expression Fold As Prognostic Indicator In Different Clinic-Pathological Status Of Breast Cancer -\",\"authors\":\"H. H. Kzar, Haider O. Mossa Al-Gazali, M. Al-Gazally, M. Wtwt\",\"doi\":\"10.31838/SRP.2021.2.37\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background and objective: The highly prevalent and mortality type of cancer among women worldwide is breast cancer (BC). The mortality cases of BC are probably incidence by inadequate of the benefits of treatment and early detection, moreover the lack of appropriate facilities for diagnosis and detection. The aim of this work is to assess of using of ROC of HIF-1A mRNA GEF as a prognostic indicator in BC. Methods: The Total RNA was extracted from whole blood of both women with BC (n=120) and control (n=120) groups, then converted to cDNA. Amplification of HIF-1A gene (gene of interest, GOI-1) and GAPDH (as housekeeping gene, HKG) were done by quantitative real time polymerase chain reaction (qRT-PCR). ROC analysis was done by using QI Macros for Excel software. Graphs were prepared using Microsoft excel 2010. Results: The results of present study suggested that significant differences between the GER in women with BC (4.58) and GER in control group ( 1.03) (p-value< 0.05). The ROC curve analysis of GEF of HIF-1A mRNA as prognostic marker in women with BC group showed an area under the curve (AUC) of (0.833)(95% CI, 0.76-0.90) with a sensitivity of (82%) and specificity of (63%) at a cut off value 20.5. Conclusion: HIF-1A mRNA GEF is good prognostic indicator for diagnosis and differentiation between both metastasis and non- metastasis BC groups.\",\"PeriodicalId\":22121,\"journal\":{\"name\":\"Systematic Reviews in Pharmacy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Systematic Reviews in Pharmacy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31838/SRP.2021.2.37\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Systematic Reviews in Pharmacy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31838/SRP.2021.2.37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Receiver Operating Characteristic Analysis Of HIF-1A Mrna Gene Expression Fold As Prognostic Indicator In Different Clinic-Pathological Status Of Breast Cancer -
Background and objective: The highly prevalent and mortality type of cancer among women worldwide is breast cancer (BC). The mortality cases of BC are probably incidence by inadequate of the benefits of treatment and early detection, moreover the lack of appropriate facilities for diagnosis and detection. The aim of this work is to assess of using of ROC of HIF-1A mRNA GEF as a prognostic indicator in BC. Methods: The Total RNA was extracted from whole blood of both women with BC (n=120) and control (n=120) groups, then converted to cDNA. Amplification of HIF-1A gene (gene of interest, GOI-1) and GAPDH (as housekeeping gene, HKG) were done by quantitative real time polymerase chain reaction (qRT-PCR). ROC analysis was done by using QI Macros for Excel software. Graphs were prepared using Microsoft excel 2010. Results: The results of present study suggested that significant differences between the GER in women with BC (4.58) and GER in control group ( 1.03) (p-value< 0.05). The ROC curve analysis of GEF of HIF-1A mRNA as prognostic marker in women with BC group showed an area under the curve (AUC) of (0.833)(95% CI, 0.76-0.90) with a sensitivity of (82%) and specificity of (63%) at a cut off value 20.5. Conclusion: HIF-1A mRNA GEF is good prognostic indicator for diagnosis and differentiation between both metastasis and non- metastasis BC groups.