High IL2RA mRNA expression is an independent adverse prognostic biomarker in core binding factor and intermediate-risk acute myeloid leukemia

Abstract Background Elevated protein expressions of CD markers such as IL2RA/CD25, CXCR4/CD184, CD34 and CD56 are associated with adverse prognosis in acute myeloid leukemia (AML). However, the prognostic value of mRNA expressions of these CD markers in AML remains unclear. Through our pilot evaluat...

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Main Authors: Wen Du, Jing He, Wei Zhou, Simin Shu, Juan Li, Wei Liu, Yun Deng, Cong Lu, Shengyan Lin, Yaokun Ma, Yanli He, Jine Zheng, Jiang Zhu, Lijuan Bai, Xiaoqing Li, Junxia Yao, Dan Hu, Shengqing Gu, Huiyu Li, Anyuan Guo, Shiang Huang, Xiaolan Feng, Dong Hu
Format: Article
Language:English
Published: BMC 2019-06-01
Series:Journal of Translational Medicine
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Online Access:http://link.springer.com/article/10.1186/s12967-019-1926-z
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language English
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author Wen Du
Jing He
Wei Zhou
Simin Shu
Juan Li
Wei Liu
Yun Deng
Cong Lu
Shengyan Lin
Yaokun Ma
Yanli He
Jine Zheng
Jiang Zhu
Lijuan Bai
Xiaoqing Li
Junxia Yao
Dan Hu
Shengqing Gu
Huiyu Li
Anyuan Guo
Shiang Huang
Xiaolan Feng
Dong Hu
spellingShingle Wen Du
Jing He
Wei Zhou
Simin Shu
Juan Li
Wei Liu
Yun Deng
Cong Lu
Shengyan Lin
Yaokun Ma
Yanli He
Jine Zheng
Jiang Zhu
Lijuan Bai
Xiaoqing Li
Junxia Yao
Dan Hu
Shengqing Gu
Huiyu Li
Anyuan Guo
Shiang Huang
Xiaolan Feng
Dong Hu
High IL2RA mRNA expression is an independent adverse prognostic biomarker in core binding factor and intermediate-risk acute myeloid leukemia
Journal of Translational Medicine
Acute myeloid leukemia
Prognosis
IL2RA
mRNA expression
Core binding factor AML
Intermediate-risk AML
author_facet Wen Du
Jing He
Wei Zhou
Simin Shu
Juan Li
Wei Liu
Yun Deng
Cong Lu
Shengyan Lin
Yaokun Ma
Yanli He
Jine Zheng
Jiang Zhu
Lijuan Bai
Xiaoqing Li
Junxia Yao
Dan Hu
Shengqing Gu
Huiyu Li
Anyuan Guo
Shiang Huang
Xiaolan Feng
Dong Hu
author_sort Wen Du
title High IL2RA mRNA expression is an independent adverse prognostic biomarker in core binding factor and intermediate-risk acute myeloid leukemia
title_short High IL2RA mRNA expression is an independent adverse prognostic biomarker in core binding factor and intermediate-risk acute myeloid leukemia
title_full High IL2RA mRNA expression is an independent adverse prognostic biomarker in core binding factor and intermediate-risk acute myeloid leukemia
title_fullStr High IL2RA mRNA expression is an independent adverse prognostic biomarker in core binding factor and intermediate-risk acute myeloid leukemia
title_full_unstemmed High IL2RA mRNA expression is an independent adverse prognostic biomarker in core binding factor and intermediate-risk acute myeloid leukemia
title_sort high il2ra mrna expression is an independent adverse prognostic biomarker in core binding factor and intermediate-risk acute myeloid leukemia
publisher BMC
series Journal of Translational Medicine
issn 1479-5876
publishDate 2019-06-01
description Abstract Background Elevated protein expressions of CD markers such as IL2RA/CD25, CXCR4/CD184, CD34 and CD56 are associated with adverse prognosis in acute myeloid leukemia (AML). However, the prognostic value of mRNA expressions of these CD markers in AML remains unclear. Through our pilot evaluation, IL2RA mRNA expression appeared to be the best candidate as a prognostic biomarker. Therefore, the aim of this study is to characterize the prognostic value of IL2RA mRNA expression and evaluate its potential to refine prognostification in AML. Methods In a cohort of 239 newly diagnosed AML patients, IL2RA mRNA expression were measured by TaqMan realtime quantitative PCR. Morphological, cytogenetics and mutational analyses were also performed. In an intermediate-risk AML cohort with 66 patients, the mRNA expression of prognostic biomarkers (BAALC, CDKN1B, ERG, MECOM/EVI1, FLT3, ID1, IL2RA, MN1 and WT1) were quantified by NanoString technology. A TCGA cohort was analyzed to validate the prognostic value of IL2RA. For statistical analysis, Mann–Whitney U test, Fisher exact test, logistic regression, Kaplan–Meier and Cox regression analyses were used. Results In AML cohort of 239 patients, high IL2RA mRNA expression independently predicted shorter relapse free survival (RFS, p < 0.001) and overall survival (OS, p < 0.001) irrespective of age, cytogenetics, FLT3-ITD or c-KIT D816V mutational status. In core binding factor (CBF) AML, high IL2RA mRNA expression correlated with FLT3-ITD status (p = 0.023). Multivariable analyses revealed that high IL2RA expression (p = 0.002), along with c-KIT D816V status (p = 0.013) significantly predicted shorter RFS, whereas only high IL2RA mRNA expression (p = 0.014) significantly predicted shorter OS in CBF AML. In intermediate-risk AML in which multiple gene expression markers were tested by NanoString, IL2RA significantly correlated with ID1 (p = 0.006), FLT3 (p = 0.007), CDKN1B (p = 0.033) and ERG (p = 0.030) expressions. IL2RA (p < 0.001) and FLT3 (p = 0.008) expressions remained significant in predicting shorter RFS, whereas ERG (p = 0.008) and IL2RA (p = 0.044) remained significant in predicting shorter OS. Similar analyses in TCGA intermediate-risk AML showed the independent prognostic role of IL2RA in predicting event free survival (p < 0.001) and OS (p < 0.001). Conclusions High IL2RA mRNA expression is an independent and adverse prognostic factor in AML and specifically stratifies patients to worse prognosis in both CBF and intermediate-risk AML.
topic Acute myeloid leukemia
Prognosis
IL2RA
mRNA expression
Core binding factor AML
Intermediate-risk AML
url http://link.springer.com/article/10.1186/s12967-019-1926-z
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spelling doaj-fa8801ff0bd84c19a4aa1d84efd44a1d2020-11-25T03:51:24ZengBMCJournal of Translational Medicine1479-58762019-06-0117111410.1186/s12967-019-1926-zHigh IL2RA mRNA expression is an independent adverse prognostic biomarker in core binding factor and intermediate-risk acute myeloid leukemiaWen Du0Jing He1Wei Zhou2Simin Shu3Juan Li4Wei Liu5Yun Deng6Cong Lu7Shengyan Lin8Yaokun Ma9Yanli He10Jine Zheng11Jiang Zhu12Lijuan Bai13Xiaoqing Li14Junxia Yao15Dan Hu16Shengqing Gu17Huiyu Li18Anyuan Guo19Shiang Huang20Xiaolan Feng21Dong Hu22Center for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhan Kindstar DiagnosticsWuhan Kindstar DiagnosticsCenter for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyCenter for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyCenter for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Bioinformatics and Systems Biology, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and TechnologyWuhan Kindstar DiagnosticsCenter for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyCenter for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyCenter for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyCenter for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyCenter for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Cardiology and Cardiovascular Research Institute, Renmin Hospital of Wuhan UniversityDepartment of Medical Oncology, Dana-Farber Cancer InstituteCenter for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Bioinformatics and Systems Biology, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and TechnologyCenter for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyBC Cancer VictoriaCenter for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyAbstract Background Elevated protein expressions of CD markers such as IL2RA/CD25, CXCR4/CD184, CD34 and CD56 are associated with adverse prognosis in acute myeloid leukemia (AML). However, the prognostic value of mRNA expressions of these CD markers in AML remains unclear. Through our pilot evaluation, IL2RA mRNA expression appeared to be the best candidate as a prognostic biomarker. Therefore, the aim of this study is to characterize the prognostic value of IL2RA mRNA expression and evaluate its potential to refine prognostification in AML. Methods In a cohort of 239 newly diagnosed AML patients, IL2RA mRNA expression were measured by TaqMan realtime quantitative PCR. Morphological, cytogenetics and mutational analyses were also performed. In an intermediate-risk AML cohort with 66 patients, the mRNA expression of prognostic biomarkers (BAALC, CDKN1B, ERG, MECOM/EVI1, FLT3, ID1, IL2RA, MN1 and WT1) were quantified by NanoString technology. A TCGA cohort was analyzed to validate the prognostic value of IL2RA. For statistical analysis, Mann–Whitney U test, Fisher exact test, logistic regression, Kaplan–Meier and Cox regression analyses were used. Results In AML cohort of 239 patients, high IL2RA mRNA expression independently predicted shorter relapse free survival (RFS, p < 0.001) and overall survival (OS, p < 0.001) irrespective of age, cytogenetics, FLT3-ITD or c-KIT D816V mutational status. In core binding factor (CBF) AML, high IL2RA mRNA expression correlated with FLT3-ITD status (p = 0.023). Multivariable analyses revealed that high IL2RA expression (p = 0.002), along with c-KIT D816V status (p = 0.013) significantly predicted shorter RFS, whereas only high IL2RA mRNA expression (p = 0.014) significantly predicted shorter OS in CBF AML. In intermediate-risk AML in which multiple gene expression markers were tested by NanoString, IL2RA significantly correlated with ID1 (p = 0.006), FLT3 (p = 0.007), CDKN1B (p = 0.033) and ERG (p = 0.030) expressions. IL2RA (p < 0.001) and FLT3 (p = 0.008) expressions remained significant in predicting shorter RFS, whereas ERG (p = 0.008) and IL2RA (p = 0.044) remained significant in predicting shorter OS. Similar analyses in TCGA intermediate-risk AML showed the independent prognostic role of IL2RA in predicting event free survival (p < 0.001) and OS (p < 0.001). Conclusions High IL2RA mRNA expression is an independent and adverse prognostic factor in AML and specifically stratifies patients to worse prognosis in both CBF and intermediate-risk AML.http://link.springer.com/article/10.1186/s12967-019-1926-zAcute myeloid leukemiaPrognosisIL2RAmRNA expressionCore binding factor AMLIntermediate-risk AML