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Comprehensive analysis of ID genes reveals the clinical and prognostic value of ID3 expression in acute myeloid leukemia using bioinformatics identification and experimental validation

BACKGROUND: Dysregulation of inhibitor of differentiation/DNA binding (ID) genes is linked to cancer growth, angiogenesis, invasiveness, metastasis and patient survival. Nevertheless, few investigations have systematically determined the expression and prognostic value of ID genes in acute myeloid l...

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Autores principales: Zhao, Qi, Wang, Yun, Yu, Di, Leng, Jia-Yan, Zhao, Yangjing, Chu, Mingqiang, Xu, Zijun, Ding, Hao, Zhou, Jingdong, Zhang, Tingjuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707109/
https://www.ncbi.nlm.nih.gov/pubmed/36443709
http://dx.doi.org/10.1186/s12885-022-10352-6
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author Zhao, Qi
Wang, Yun
Yu, Di
Leng, Jia-Yan
Zhao, Yangjing
Chu, Mingqiang
Xu, Zijun
Ding, Hao
Zhou, Jingdong
Zhang, Tingjuan
author_facet Zhao, Qi
Wang, Yun
Yu, Di
Leng, Jia-Yan
Zhao, Yangjing
Chu, Mingqiang
Xu, Zijun
Ding, Hao
Zhou, Jingdong
Zhang, Tingjuan
author_sort Zhao, Qi
collection PubMed
description BACKGROUND: Dysregulation of inhibitor of differentiation/DNA binding (ID) genes is linked to cancer growth, angiogenesis, invasiveness, metastasis and patient survival. Nevertheless, few investigations have systematically determined the expression and prognostic value of ID genes in acute myeloid leukemia (AML). METHODS: The expression and clinical prognostic value of ID genes in AML were first identified by public databases and further validated by our research cohort. RESULTS: Using public data, the expression of ID1/ID3 was markedly downregulated in AML, and the expression of ID2 was greatly upregulated in AML, whereas ID4 showed no significant difference. Among the ID genes, only ID3 expression may be the most valuable prognostic biomarker in both total AML and cytogenetically normal AML (CN-AML) and especially in CN-AML. Clinically, reduced ID3 expression was greatly associated with higher white blood cell counts, peripheral blood/bone marrow blasts, normal karyotypes and intermediate cytogenetic risk. In addition, low ID3 expression was markedly related to FLT3 and NPM1 mutations as well as wild-type TP53. Despite these associations, multivariate Cox regression analysis revealed that ID3 expression was an independent risk factor affecting overall survival (OS) and disease free survival (DFS) in CN-AML patients. Biologically, a total of 839 mRNAs/lncRNAs and 72 microRNAs were found to be associated with ID3 expression in AML. Importantly, the expression of ID3 with discriminative value in AML was further confirmed in our research cohort. CONCLUSION: The bioinformatics analysis and experimental verification demonstrate that low ID3 expression independently affects OS and DFS in patients with CN-AML, which might be seen as a potential prognostic indicator in CN-AML. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10352-6.
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spelling pubmed-97071092022-11-30 Comprehensive analysis of ID genes reveals the clinical and prognostic value of ID3 expression in acute myeloid leukemia using bioinformatics identification and experimental validation Zhao, Qi Wang, Yun Yu, Di Leng, Jia-Yan Zhao, Yangjing Chu, Mingqiang Xu, Zijun Ding, Hao Zhou, Jingdong Zhang, Tingjuan BMC Cancer Research BACKGROUND: Dysregulation of inhibitor of differentiation/DNA binding (ID) genes is linked to cancer growth, angiogenesis, invasiveness, metastasis and patient survival. Nevertheless, few investigations have systematically determined the expression and prognostic value of ID genes in acute myeloid leukemia (AML). METHODS: The expression and clinical prognostic value of ID genes in AML were first identified by public databases and further validated by our research cohort. RESULTS: Using public data, the expression of ID1/ID3 was markedly downregulated in AML, and the expression of ID2 was greatly upregulated in AML, whereas ID4 showed no significant difference. Among the ID genes, only ID3 expression may be the most valuable prognostic biomarker in both total AML and cytogenetically normal AML (CN-AML) and especially in CN-AML. Clinically, reduced ID3 expression was greatly associated with higher white blood cell counts, peripheral blood/bone marrow blasts, normal karyotypes and intermediate cytogenetic risk. In addition, low ID3 expression was markedly related to FLT3 and NPM1 mutations as well as wild-type TP53. Despite these associations, multivariate Cox regression analysis revealed that ID3 expression was an independent risk factor affecting overall survival (OS) and disease free survival (DFS) in CN-AML patients. Biologically, a total of 839 mRNAs/lncRNAs and 72 microRNAs were found to be associated with ID3 expression in AML. Importantly, the expression of ID3 with discriminative value in AML was further confirmed in our research cohort. CONCLUSION: The bioinformatics analysis and experimental verification demonstrate that low ID3 expression independently affects OS and DFS in patients with CN-AML, which might be seen as a potential prognostic indicator in CN-AML. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10352-6. BioMed Central 2022-11-29 /pmc/articles/PMC9707109/ /pubmed/36443709 http://dx.doi.org/10.1186/s12885-022-10352-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhao, Qi
Wang, Yun
Yu, Di
Leng, Jia-Yan
Zhao, Yangjing
Chu, Mingqiang
Xu, Zijun
Ding, Hao
Zhou, Jingdong
Zhang, Tingjuan
Comprehensive analysis of ID genes reveals the clinical and prognostic value of ID3 expression in acute myeloid leukemia using bioinformatics identification and experimental validation
title Comprehensive analysis of ID genes reveals the clinical and prognostic value of ID3 expression in acute myeloid leukemia using bioinformatics identification and experimental validation
title_full Comprehensive analysis of ID genes reveals the clinical and prognostic value of ID3 expression in acute myeloid leukemia using bioinformatics identification and experimental validation
title_fullStr Comprehensive analysis of ID genes reveals the clinical and prognostic value of ID3 expression in acute myeloid leukemia using bioinformatics identification and experimental validation
title_full_unstemmed Comprehensive analysis of ID genes reveals the clinical and prognostic value of ID3 expression in acute myeloid leukemia using bioinformatics identification and experimental validation
title_short Comprehensive analysis of ID genes reveals the clinical and prognostic value of ID3 expression in acute myeloid leukemia using bioinformatics identification and experimental validation
title_sort comprehensive analysis of id genes reveals the clinical and prognostic value of id3 expression in acute myeloid leukemia using bioinformatics identification and experimental validation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707109/
https://www.ncbi.nlm.nih.gov/pubmed/36443709
http://dx.doi.org/10.1186/s12885-022-10352-6
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