Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Illuminating (Htlv-1)-Induced Adult T-Cell Leukemia/Lymphoma Transcriptomic Signature: A Systems Virology Approach Publisher Pubmed



Forghaniramandi MM1 ; Mostafavi B2, 6 ; Bahavar A3 ; Dehghankar M1 ; Siami Z4, 5 ; Mozhgani SH6, 7
Authors
Show Affiliations
Authors Affiliations
  1. 1. Student Research Committee, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran
  2. 2. Biomedical Engineering Department, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Tehran, Iran
  3. 3. Department of Microbiology, School of Medicine, Golestan University of Medical Sciences, Gorgan, Iran
  4. 4. Department Infectious Disease and Tropical Medicine, Ziaeian Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Department of Infectious Diseases, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran
  6. 6. Department of Microbiology, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran
  7. 7. Non-Communicable Disease Research Center, Alborz University of Medical Sciences, Karaj, Iran

Source: Virus Research Published:2023


Abstract

Background: Adult T-cell leukemia/lymphoma (ATLL) is a poor prognosis malignancy of peripheral T-cells caused by human T-cell leukemia virus type 1 (HTLV-1). The low survival rates observed in the patients are the result of the lack of sufficient knowledge about the disease pathogenesis. Methods: In the present study, we first identified differentially expressed genes in ATLL patients and the cellular signaling pathways affected by them. Then, genes of these pathways were subjected to more comprehensive evaluations, including WGCNA and module validation studies on five external datasets. Finally, potential biomarkers were selected for qRT-PCR validation. Results: Thirteen signaling pathways, including Apoptosis, Human T-cell leukemia virus 1 infection, IL-17 signaling pathway, pathways in cancer, T cell receptor signaling pathway, Th1 and Th2 cell differentiation, and seven others were selected for deeper investigations. Results of our in-depth bioinformatics evaluations, highlighted pathways related to regulation of immune responses, T-cell receptor and activation, regulation of cell signaling receptors and messengers, Wnt signaling pathway, and apoptosis as key players in ATLL pathogenesis. MAPK3, PIK3CD, KRAS, NFKB1, TNF, PLCB3, PLCB2, PLCB1, MAPK11, JUN, ITPR1, ADCY1, GNAQ, ADCY3, ADCY4, CHEK1, CCND1, SOS2, BAX, FOS and GNA12 were identified as possible biomarkers. Upregulation of ADCY1 and ADCY3 genes was confirmed via qRT-PCR. Conclusions: In this study, we performed a deep bioinformatic examination on a limited set of genes with high probabilities of involvement in the pathogenesis of ATLL. Our results highlighted signaling pathways and genes with potential key roles in disease formation and resistance against current treatment strategies. Further studies are required to test the possible benefits of highlighted genes as biomarkers and targets of treatment. © 2023
Related Docs
View other Related Docs
1. Identification of Novel Mirnas Potentially Involved in the Pathogenesis of Adult T-Cell Leukemia/Lymphoma Using Wgcna Followed by Rt-Qpcr Test of Hub Genes, Infectious Agents and Cancer (2023)
2. Exploration of Blood−Derived Coding and Non-Coding Rna Diagnostic Immunological Panels for Covid-19 Through a Co-Expressed-Based Machine Learning Procedure, Frontiers in Immunology (2022)
3. Decoding Pathogenesis Factors Involved in the Progression of Atll or Ham/Tsp After Infection by Htlv-1 Through a Systems Virology Study, Virology Journal (2021)
4. Mirna Profiling in Adult T-Cell Leukemia Lymphoma (Atll), a Systems Virology Study, Gene Reports (2021)
5. Identification of Hub Genes Associated With Resistance to Prednisolone in Acute Lymphoblastic Leukemia Based on Weighted Gene Co-Expression Network Analysis, Molecular Biotechnology (2023)
6. Core Liver Homeostatic Co-Expression Networks Are Preserved But Respond to Perturbations in an Organism- and Disease-Specific Manner, Cell Systems (2021)
7. Gene Co-Expression Network Analysis Reveals Immune Cell Infiltration As a Favorable Prognostic Marker in Non-Uterine Leiomyosarcoma, Scientific Reports (2021)
8. Identification of Dysregulated Pathways Underlying Htlv-1-Associated Myelopathy/Tropical Spastic Paraparesis Through Co-Expression Network Analysis, Journal of NeuroVirology (2021)
Experts (# of related papers)
View all Related Experts
Mahdi Mahmoudi (2)
Abbas Rahimi Foroushani (1)
Other Related Docs
9. Co-Expression Network Analysis Reveals Key Genes Related to Ankylosing Spondylitis Arthritis Disease: Computational and Experimental Validation, Iranian Journal of Biotechnology (2021)
10. Downregulation of Itm2a Gene Expression in Macrophages of Patients With Ankylosing Spondylitis, International Archives of Allergy and Immunology (2021)
11. Investigating the Effect of Map2k1 Gene (Mek1) in Mapk Pathway in the Induction of Adult T-Cell Leukemia/Lymphoma (Atll), Iranian Journal of Microbiology (2023)