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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Series: | Journal of Oncology |
Online Access: | http://dx.doi.org/10.1155/2021/5531736 |
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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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