» Articles » PMID: 36950431

Role of the Antineoplastic Drug Bleomycin Based on Toxicogenomic-DNA Damage Inducing (TGx-DDI) Genomic Biomarkers Data: A Meta-analysis

Overview
Journal Pak J Med Sci
Specialty General Medicine
Date 2023 Mar 23
PMID 36950431
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: Accurately identifying the cellular, biomolecular, and toxicological functions of anticancer drugs help to decipher the potential risk of genotoxicity and other side effects. Here, we examined bleomycin for cellular, molecular and toxicological mechanisms using next-generation knowledge discovery (NGKD) tools.

Methods: This study was conducted at the Faculty of Applied Medical Sciences, King Abdulaziz University (KAU), Jeddah, Saudi Arabia in October 2022. We first analyzed the raw Toxicogenomic and DNA damage-inducing (TGx-DDI) gene expression data from Gene Expression Omnibus (GEO) (GSE196373) of TK6 cells treated with 10 µM bleomycin and TK6 cells treated with DMSO for four hours using the GEO2R tool based on the Linear Models for Microarray Analysis (limma) R packages to derive the differentially expressed genes (DEGs). Then, iPathwayGuide was used to determine differentially regulated signaling pathways, biological processes, cellular, molecular functions and upstream regulators (genes and miRNAs).

Results: Bleomycin differently regulates the p53 pathway, transcriptional dysregulation in cancer, FOXO pathway, viral carcinogenesis, and cancer pathways. The biological processes such as p53 class mediator signaling, intrinsic apoptotic signaling, DNA damage response, and DNA damage-induced intrinsic apoptotic signaling and molecular functions like ubiquitin protein transferase and p53 binding were differentially regulated by bleomycin. iPathwayGuide analysis showed that the p53 and its regulatory gene and microRNA networks induced by bleomycin.

Conclusion: Analysis of TGx-DDI data of bleomycin using NGKD tools provided information about toxicogenomics and other mechanisms. Integration of all "omics" based approaches is crucial for the development of translatable biomarkers for evaluating anticancer drugs for safety and efficacy.

Citing Articles

Harnessing bacterial metabolites for enhanced cancer chemotherapy: unveiling unique therapeutic potentials.

Chatterjee A, Khan R, Mukherjee T, Sahoo P, Tiwari L, Singh B Arch Microbiol. 2024; 206(11):449.

PMID: 39472338 DOI: 10.1007/s00203-024-04179-x.


Exploration of potential molecular mechanisms and genotoxicity of anti-cancer drugs using next generation knowledge discovery methods.

Pushparaj P, Rasool M, Naseer M, Gauthaman K Pak J Med Sci. 2023; 39(4):988-993.

PMID: 37492288 PMC: 10364265. DOI: 10.12669/pjms.39.4.7427.

References
1.
Draghici S, Khatri P, Tarca A, Amin K, Done A, Voichita C . A systems biology approach for pathway level analysis. Genome Res. 2007; 17(10):1537-45. PMC: 1987343. DOI: 10.1101/gr.6202607. View

2.
Engeland K . Cell cycle regulation: p53-p21-RB signaling. Cell Death Differ. 2022; 29(5):946-960. PMC: 9090780. DOI: 10.1038/s41418-022-00988-z. View

3.
Miyake Z, Takekawa M, Ge Q, Saito H . Activation of MTK1/MEKK4 by GADD45 through induced N-C dissociation and dimerization-mediated trans autophosphorylation of the MTK1 kinase domain. Mol Cell Biol. 2007; 27(7):2765-76. PMC: 1899887. DOI: 10.1128/MCB.01435-06. View

4.
Chen X, Xu Y, Jiang L, Tan Q . miRNA-218-5p increases cell sensitivity by inhibiting PRKDC activity in radiation-resistant lung carcinoma cells. Thorac Cancer. 2021; 12(10):1549-1557. PMC: 8107034. DOI: 10.1111/1759-7714.13939. View

5.
Pushparaj P, Kalamegam G, Sait K, Rasool M . Decoding the Role of Astrocytes in the Entorhinal Cortex in Alzheimer's Disease Using High-Dimensional Single-Nucleus RNA Sequencing Data and Next-Generation Knowledge Discovery Methodologies: Focus on Drugs and Natural Product Remedies for Dementia. Front Pharmacol. 2022; 12:720170. PMC: 8918735. DOI: 10.3389/fphar.2021.720170. View