Dergiler / Experimed / 2023 / Cilt: 13 Sayı: 1

A Bioinformatics Analysis of circRNA/miRNA/mRNA Interactions in Acute Myeloid Leukemia

Sayfa
45–53
Yayın Tarihi
2023-05-11
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Therefore, in vitro and in vivo investigations are recommended.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Objective: Acute myeloid leukemia (AML) is a lethal type of cancer associated with dysregulation of progenitor hematopoietic stem cell behavior and its incidence is, unfortunately, increasing.
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Temel Bulgular & Veri:Materials and Methods: In this study, three Gene Expression Omnibus (GEO) datasets Genomic Spatial Event (GSE); GSE94591, GSE116617, and GSE163386) were used to investigate dysregulated expressions of circular RNAs (circRNAs), and the GSE142699 and GSE142698 datasets were analyzed to detect dysregulated expressions of microRNAs (miRNAs) and mRNAs, respectively.
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Sonuç & Katkı:Therefore, in vitro and in vivo investigations are recommended.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Acute myeloid leukemia · circular RNA · bioinformatics

Abstract

Objective: Acute myeloid leukemia (AML) is a lethal type of cancer associated with dysregulation of progenitor hematopoietic stem cell behavior and its incidence is, unfortunately, increasing. Although there are various applications in treatment, since most of them are insufficient in early diagnosis, treatment and new prognostic biomarkers should be investigated. Materials and Methods: In this study, three Gene Expression Omnibus (GEO) datasets Genomic Spatial Event (GSE); GSE94591, GSE116617, and GSE163386) were used to investigate dysregulated expressions of circular RNAs (circRNAs), and the GSE142699 and GSE142698 datasets were analyzed to detect dysregulated expressions of microRNAs (miRNAs) and mRNAs, respectively. Filtering was applied with p value <0.05, log2FC≥0.5 (circRNA), and log2FC≥1 (miRNA and mRNA) from the raw data analyzed using the limma R package (v.3.46.0). We investigated circRNA-miRNA-mRNA interactions using special tools including CSCDv2.0, circBank, miRTarBase, miRDB, multiMiR, miRWalk, DIANA-microT, TarBase, miRanda, and TargetScan. The pathway analysis was performed using KEGG and GO programs. The STRING database and Cytoscape tool were used to construct and view protein interaction. Hub gene analysis was constructed using the MCODE tool. We have utilized the GEPIA tool to determine the Overall Survival of the hub genes. Results: In our study, 4 circRNAs, 3 miRNAs, and 6 genes that may be closely related to AML were detected. Conclusion: According to our bioinformatics analysis results, hsa_circ_0012152/miR-199a-5p/HOXA9 axis could be more important in AML. Therefore, in vitro and in vivo investigations are recommended.

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Bu Makaleye Atıf Yap

ERDOĞAN, C., KAYA, M., SUER, I. (2023). A Bioinformatics Analysis of circRNA/miRNA/mRNA Interactions in Acute Myeloid Leukemia. Experimed, Cilt: 13 Sayı: 1, 45–53. https://ajindex.com/articles/936354

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Kaynakça (14)

  1. Kim TK, Gore SD, Zeidan AM. Epigenetic therapy in acute myeloid leukemia: Current and future directions. Semin Hematol 2015
  2. 52(3):172-83. [CrossRef] google scholar 2. Zhang S, Liu M, Yao Y, Yu B, Liu H. Targeting LSD1 for acute myeloid leukemia (AML) treatment. Pharmacol Res 2021
  3. 105335. [CrossRef] google scholar 3. Kaya M, Suer I. The effect of miR-34a-5p on overexpressed AML associated genes. J Ist Faculty Med 2023
  4. 86(1): 59-68. [CrossRef] google scholar 4. Voso MT, Ottone T, Lavorgna S, Venditti A, Maurillo L, Lo-Coco F, et al. MRD in AML: The role of new techniques. Front Oncol 2019
  5. [CrossRef] google scholar 5. Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer statistics, 2022. CA Cancer J Clin 2022
  6. 72(1): 7-33. [CrossRef] google scholar 6. Capik O, Sanli F, Kurt A, Ceylan O, Suer I, Kaya M, et al. CASC11 promotes aggressiveness of prostate cancer cells through miR-145/IGF1R axis. Prostate Cancer Prostatic Dis 2021
  7. 24(3): 891-902. [CrossRef] google scholar 7. Kaya M, Karatas OF. The relationship between larynx cancer and microRNAs. Van Med J 2020
  8. 27(4): 535-41. [CrossRef] google scholar 8. Li X, Yang L, Chen LL. The biogenesis, functions, and challenges of circular RNAs. Mol Cell 2018
  9. 71(3): 428-42. [CrossRef] google scholar 9. Cheng Y, Su Y, Wang S, Liu Y, Jin L, Wan Q, et al. Identification of circRNA-lncRNA-miRNA-mRNA competitive endogenous rna network as novel prognostic markers for acute myeloid leukemia. Genes (Basel) 2020
  10. 11(8). [CrossRef] google scholar 10. Wu DM, Wen X, Han XR, Wang S, Wang YJ, Shen M, et al. Role of circular RNA DLEU2 in human acute myeloid leukemia. Mol Cell Biol 2018
  11. 38(20). [CrossRef] google scholar 11. Wang N, Yang B, Jin J, He Y, Wu X, Yang Y, et al. Circular RNA circ_0040823 inhibits the proliferation of acute myeloid leukemia cells and induces apoptosis by regulating miR-516b/PTEN. J Gene Med 2022
  12. 24(3): e3404. [CrossRef] google scholar 12. Suer I, Kaya M. Is the AURKB gene involved in aml cell proliferation since it is targeted by miR-34a-5p and let-7b-5p? Konuralp Medical Journal 2023
  13. 15(1): 16-23 [CrossRef] google scholar 13. Guo S, Li B, Chen Y, Zou D, Yang S, Zhang Y, et al. Hsa_circ_0012152 and Hsa_circ_0001857 accurately discriminate acute lymphoblastic leukemia from acute myeloid leukemia. Front Oncol 2020
  14. [CrossRef] google scholar 14. Yan YY, Yang JT, Pathak JL, Wang HY, Zha J, Wei YX, et al. CircRNA_104889 promotes lung adenocarcinoma cell invasion via sponging miR4458. Ca