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Integrative systems biology identifies PSMB2 as a core oxidative stress-associated target in triple-negative breast
1Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, 51452, Buraydah, Saudi Arabia. fshbrmy@qu.edu.sa.
Abstract:
Triple-negative breast cancer (TNBC) represents one of the most aggressive and therapeutically challenging subtypes of breast cancer, characterized by the absence of estrogen receptor, progesterone receptor, and HER2 expression. Due to the lack of specific molecular targets, treatment options for TNBC remain limited, resulting in higher recurrence rates, increased metastatic potential, and poorer overall survival compared with other breast cancer subtypes. Therefore, identifying novel therapeutic targets and potential bioactive compounds is essential for improving TNBC management. In this study, an integrative systems biology and computational pharmacology approach was employed to explore potential molecular targets underlying oxidative stress-mediated mechanisms in TNBC and to identify plant-derived compounds with therapeutic relevance. Transcriptomic analysis was performed to identify differentially expressed genes between TNBC and normal ductal tissues, followed by weighted gene coexpression network analysis to detect disease-associated gene modules. Intersection analysis integrating phytochemical targets, oxidative stress-related genes, and network-derived candidate genes identified seven potential key genes. Functional enrichment analysis revealed that these genes were mainly involved in oxidative stress response, DNA repair mechanisms, proteasome activity, and cell cycle regulation pathways. Immune infiltration analysis further demonstrated significant remodeling of the tumor immune microenvironment in TNBC. Machine learning algorithms identified PSMB2 as the most robust core gene associated with TNBC. Finally, molecular docking analysis demonstrated favorable binding interactions between the predicted target protein and several phytochemical compounds, particularly 6-gingerol, curcumin, and demethoxycurcumin. These findings highlight the potential of integrating computational approaches with natural product screening to identify novel therapeutic strategies for TNBC.
Insights
This study identifies PSMB2 as a key gene in aggressive triple-negative breast cancer (TNBC). Computational analysis suggests natural compounds like curcumin may offer new therapeutic avenues for TNBC treatment.
Area of Science:
- Oncology
- Computational Biology
- Pharmacology
Background:
- Triple-negative breast cancer (TNBC) is an aggressive subtype with limited treatment options.
- Lack of specific molecular targets contributes to high recurrence and poor survival rates in TNBC.
- Novel therapeutic targets and bioactive compounds are crucial for improving TNBC management.
Purpose of the Study:
- To identify molecular targets and plant-derived compounds for TNBC therapy using systems biology and computational pharmacology.
- To explore oxidative stress-mediated mechanisms in TNBC.
- To discover potential natural product-based treatments for TNBC.
Main Methods:
- Integrative systems biology approach combining transcriptomics and weighted gene coexpression network analysis.
- Phytochemical target integration with disease-associated genes to identify key targets.
- Machine learning for core gene identification and molecular docking for compound screening.
Main Results:
- Seven key genes were identified, primarily involved in oxidative stress, DNA repair, proteasome activity, and cell cycle regulation.
- PSMB2 was identified as the most robust core gene associated with TNBC via machine learning.
- Molecular docking revealed favorable binding of 6-gingerol, curcumin, and demethoxycurcumin to predicted targets.
Conclusions:
- Computational approaches combined with natural product screening can identify novel therapeutic strategies for TNBC.
- PSMB2 emerges as a potential therapeutic target in TNBC.
- Phytochemicals like curcumin show promise for TNBC treatment, warranting further investigation.
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