Zanubrutinib and Pterostilbene Intervention in Acute Lymphoblastic Leukemia: An Action Mechanism Unveiled by Network Pharmacology and Machine Learning

Zanubrutinib, a BTK inhibitor, and pterostilbene, a natural anticancer compound, show potential in combination therapy for Acute Lymphoblastic Leukemia (ALL). Analyzing over 12,000 genes associated with ALL, key hub proteins like LYN, BTK, MYD88, and SYK were identified as crucial for leukemia progression. Pathway analyses revealed their role in immune signaling, including B-cell receptor signaling. Zanubrutinib and pterostilbene complement each other by targeting these pathways, inhibiting leukemia cell growth and promoting apoptosis. This study highlights the importance of network pharmacology and machine learning in developing optimized, targeted treatments for ALL.

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Publication Details

Journal
BIO Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/bioconf/202517202005
Primary Topic
Chronic Lymphocytic Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Zanubrutinib and Pterostilbene Intervention in Acute Lymphoblastic Leukemia: An Action Mechanism Unveiled by Network Pharmacology and Machine Learning

B. Kalpana, Puniethaa Prabhu, A. S., Schmidt Solveig G.
BIO Web of Conferences
Chronic Lymphocytic Leukemia Research
article

Zanubrutinib and Pterostilbene Intervention in Acute Lymphoblastic Leukemia: An Action Mechanism Unveiled by Network Pharmacology and Machine Learning

B. Kalpana, Puniethaa Prabhu, A. S., Schmidt Solveig G.
article en

Abstract

Zanubrutinib, a BTK inhibitor, and pterostilbene, a natural anticancer compound, show potential in combination therapy for Acute Lymphoblastic Leukemia (ALL). Analyzing over 12,000 genes associated with ALL, key hub proteins like LYN, BTK, MYD88, and SYK were identified as crucial for leukemia progression. Pathway analyses revealed their role in immune signaling, including B-cell receptor signaling. Zanubrutinib and pterostilbene complement each other by targeting these pathways, inhibiting leukemia cell growth and promoting apoptosis. This study highlights the importance of network pharmacology and machine learning in developing optimized, targeted treatments for ALL.

BIO Web of ConferencesVol. 172
Holy Cross College (GB)
Openalex Percentile: Top 89%
Chronic Lymphocytic Leukemia Research
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