Identification of MiR-93-5p Targeted Pathogenic Markers in Acute Myeloid Leukemia through Integrative Bioinformatics Analysis and Clinical Validation

Acute myeloid leukemia (AML) is a type of hematological malignancy with diverse genetic pathogenesis. Identification of the miR-93-5p targeted pathogenic markers could be useful for AML diagnosis and potential therapy. We collected 751 miR-93-5p targeted and AML-related genes by integrating the resu...

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Main Authors: Jie Wang, Yun Wu, Md. Nazim Uddin, Jian-ping Hao, Rong Chen, Dai-qin Xiong, Nan Ding, Jian-hua Yang, Jian-hua Wang, Xuan-sheng Ding
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Journal of Oncology
Online Access:http://dx.doi.org/10.1155/2021/5531736
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spelling doaj-c28332efc15f4e638d0071a3f6c67ac02021-03-29T00:08:48ZengHindawi LimitedJournal of Oncology1687-84692021-01-01202110.1155/2021/5531736Identification of MiR-93-5p Targeted Pathogenic Markers in Acute Myeloid Leukemia through Integrative Bioinformatics Analysis and Clinical ValidationJie Wang0Yun Wu1Md. Nazim Uddin2Jian-ping Hao3Rong Chen4Dai-qin Xiong5Nan Ding6Jian-hua Yang7Jian-hua Wang8Xuan-sheng Ding9School of Basic Medicine and Clinical PharmacyDepartment of General MedicineSchool of Basic Medicine and Clinical PharmacyDepartment of HematologyDepartment of HematologyDepartment of PharmacyDepartment of PharmacyDepartment of PharmacyDepartment of PharmacySchool of Basic Medicine and Clinical PharmacyAcute myeloid leukemia (AML) is a type of hematological malignancy with diverse genetic pathogenesis. Identification of the miR-93-5p targeted pathogenic markers could be useful for AML diagnosis and potential therapy. We collected 751 miR-93-5p targeted and AML-related genes by integrating the results of multiple databases and then used the expression profile of TCGA-LAML to construct a coexpression function network of AML WGCNA. Based on the clinical phenotype and module trait relationship, we identified two modules (brown and yellow) as interesting dysfunction modules, which have a significant association with cytogenetics risk and FAB classification systems. GO enrichment and KEGG analysis showed that these modules are mainly involved with cancer-associated pathways, including MAPK signal pathway, p53 signal pathway, JAK-STAT signal pathway, TGF-beta signaling pathway, mTOR signaling pathway, VEGF signaling pathway, both associated with the occurrence of AML. Besides, using the STRING database, we discovered the top 10 hub genes in each module, including MAPK1, ACTB, RAC1, GRB2, MDM2, ACTR2, IGF1R, CDKN1A, YWHAZ, and YWHAB in the brown module and VEGFA, FGF2, CCND1, FOXO3, IGFBP3, GSF1, IGF2, SLC2A4, PDGFBM, and PIK3R2 in the yellow module. The prognosis analysis result showed that six key pathogens have significantly affected the overall survival and prognosis in AML. Interestingly, VEGF with the most significant regulatory relationship in the yellow modules significantly positively correlated with the clinical phenotype of AML. We used qPCR and ELISA to verify miR-93-5p and VEGF expression in our clinical samples. The results exhibited that miR-93-5p and VEGF were both highly expressed in AML.http://dx.doi.org/10.1155/2021/5531736
collection DOAJ
language English
format Article
sources DOAJ
author Jie Wang
Yun Wu
Md. Nazim Uddin
Jian-ping Hao
Rong Chen
Dai-qin Xiong
Nan Ding
Jian-hua Yang
Jian-hua Wang
Xuan-sheng Ding
spellingShingle Jie Wang
Yun Wu
Md. Nazim Uddin
Jian-ping Hao
Rong Chen
Dai-qin Xiong
Nan Ding
Jian-hua Yang
Jian-hua Wang
Xuan-sheng Ding
Identification of MiR-93-5p Targeted Pathogenic Markers in Acute Myeloid Leukemia through Integrative Bioinformatics Analysis and Clinical Validation
Journal of Oncology
author_facet Jie Wang
Yun Wu
Md. Nazim Uddin
Jian-ping Hao
Rong Chen
Dai-qin Xiong
Nan Ding
Jian-hua Yang
Jian-hua Wang
Xuan-sheng Ding
author_sort Jie Wang
title Identification of MiR-93-5p Targeted Pathogenic Markers in Acute Myeloid Leukemia through Integrative Bioinformatics Analysis and Clinical Validation
title_short Identification of MiR-93-5p Targeted Pathogenic Markers in Acute Myeloid Leukemia through Integrative Bioinformatics Analysis and Clinical Validation
title_full Identification of MiR-93-5p Targeted Pathogenic Markers in Acute Myeloid Leukemia through Integrative Bioinformatics Analysis and Clinical Validation
title_fullStr Identification of MiR-93-5p Targeted Pathogenic Markers in Acute Myeloid Leukemia through Integrative Bioinformatics Analysis and Clinical Validation
title_full_unstemmed Identification of MiR-93-5p Targeted Pathogenic Markers in Acute Myeloid Leukemia through Integrative Bioinformatics Analysis and Clinical Validation
title_sort identification of mir-93-5p targeted pathogenic markers in acute myeloid leukemia through integrative bioinformatics analysis and clinical validation
publisher Hindawi Limited
series Journal of Oncology
issn 1687-8469
publishDate 2021-01-01
description Acute myeloid leukemia (AML) is a type of hematological malignancy with diverse genetic pathogenesis. Identification of the miR-93-5p targeted pathogenic markers could be useful for AML diagnosis and potential therapy. We collected 751 miR-93-5p targeted and AML-related genes by integrating the results of multiple databases and then used the expression profile of TCGA-LAML to construct a coexpression function network of AML WGCNA. Based on the clinical phenotype and module trait relationship, we identified two modules (brown and yellow) as interesting dysfunction modules, which have a significant association with cytogenetics risk and FAB classification systems. GO enrichment and KEGG analysis showed that these modules are mainly involved with cancer-associated pathways, including MAPK signal pathway, p53 signal pathway, JAK-STAT signal pathway, TGF-beta signaling pathway, mTOR signaling pathway, VEGF signaling pathway, both associated with the occurrence of AML. Besides, using the STRING database, we discovered the top 10 hub genes in each module, including MAPK1, ACTB, RAC1, GRB2, MDM2, ACTR2, IGF1R, CDKN1A, YWHAZ, and YWHAB in the brown module and VEGFA, FGF2, CCND1, FOXO3, IGFBP3, GSF1, IGF2, SLC2A4, PDGFBM, and PIK3R2 in the yellow module. The prognosis analysis result showed that six key pathogens have significantly affected the overall survival and prognosis in AML. Interestingly, VEGF with the most significant regulatory relationship in the yellow modules significantly positively correlated with the clinical phenotype of AML. We used qPCR and ELISA to verify miR-93-5p and VEGF expression in our clinical samples. The results exhibited that miR-93-5p and VEGF were both highly expressed in AML.
url http://dx.doi.org/10.1155/2021/5531736
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