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Introducing Critical Genes in Response to Photodynamic Therapy: A Network Analysis Publisher



Mansouri V1 ; Arjmand B2, 3 ; Hamzeloomoghadam M4 ; Tavirani MR1 ; Razzaghi Z5 ; Ahmadzadeh A1 ; Nejad MR6 ; Robati RM7
Authors
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Authors Affiliations
  1. 1. Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  2. 2. Cell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Iranian Cancer Control Center (MACSA), Tehran, Iran
  4. 4. Traditional Medicine and Materia Medica Research Center, School of Traditional Medicine Shahid, Beheshti University of Medical Sciences, Tehran, Iran
  5. 5. Laser Application in Medical Sciences Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  6. 6. Celiac Disease and Gluten Related Disorders Research Center, Research Institute for Gastroenterology and Liver Disease, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  7. 7. Skin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Source: Journal of Lasers in Medical Sciences Published:2023


Abstract

Introduction: Photodynamic therapy (PDT) is applied as an efficient method for preventing the progress of cancers. Light and a photosensitive compound which is known as photosensitizer (PS) are the main parts of PDT. In the present study, molecular events after using PDT in the presence of a super lethal dose of a PS were assessed via protein-protein interaction (PPI) analysis. Methods: Data were extracted from Gene Expression Omnibus (GEO). The gene expression profiles of the treated human Sk-Cha1 cells via PDT were compared with the control cells. Expressed change analysis and PPI network analysis were administrated via Cytoscape software v 3.7.2 to find the critical differentially expressed genes (DEGs). Regulatory relationships between the central DEGs were evaluated and the highlighted genes were identified. Results: The significant amounts of gene expression values were grouped and a few DEGs characterized by tremendously expressed values were identified. EGFR, CANX, HSPA5, MYC, JUN, ITGB1, APP, and CDH1 were highlighted as hub-bottleneck DEGs. EGFR, CDH1, and JUN appeared as a set of SEGs, which play a crucial role in response to PDT in the treated Sk-Cha1 cells. Conclusion: In conclusion, regulatory relationships between EGFR, CDH1, and JUN, which have an effect on the regulation of cellular survival, differentiation, and proliferation, were highlighted in the present investigation. © (2023), (Laser Application in Medical Sciences Research Center). All Rights Reserved.
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