The integration of multi-omics data revealed the activation of compensatory mechanisms aimed at restoring cellular homeostasis, including metabolic rewiring and stress-response pathways, although these responses were insufficient to counteract nanosystem-induced cytotoxicity.
Abstract
Background/Objectives: Triple-negative breast cancer remains a major therapeutic challenge due to its aggressive behavior and limited treatment options. Methods: In this study, an integrated multi-omics strategy combining SILAC-based quantitative proteomics, shotgun lipidomics, and targeted metabolomics was applied to characterize the biomolecular response of MDA-MB-231 cells following exposure to the Ag@MSN-Tf-SeNPs nanosystem. Results and Conclusions: The complementary analytical platforms provided a comprehensive and system-level view of the cytotoxic effects induced by the nanosystem, highlighting its potential as an antitumoral nanotherapeutic approach. Exposure resulted in reduced cell growth and metastatic potential, associated with DNA damage-induced cell-cycle arrest, disruption of protein biosynthesis, and impaired protein quality control linked to Ca2+ homeostasis imbalance. In addition, significant alterations in lipid metabolism were observed, including disruption of cholesterol biosynthesis. These changes, together with disturbances in glycolysis and the tricarboxylic acid cycle, and alterations in NAD+/NADH balance, indicate the induction of oxidative stress driven by reactive oxygen species accumulation. Furthermore, the integration of multi-omics data revealed the activation of compensatory mechanisms aimed at restoring cellular homeostasis, including metabolic rewiring and stress-response pathways, although these responses were insufficient to counteract nanosystem-induced cytotoxicity.
Dihydroorotate dehydrogenase (DHODH) is a mitochondrial enzyme involved in de novo pyrimidine biosynthesis and has emerged as a potential target in cancer metabolism and therapy. This study integrated transcriptomic analysis with structure-based drug discovery to investigate the biological significance and therapeutic...
M. Sheikh, Md. Shahidul Islam, Manuocher Shakib et al.· Bioinformatics and Biology I...· 0 citations
The potential of integrating computational approaches with natural product screening to identify novel therapeutic strategies for TNBC is highlighted and PSMB2 is identified as the most robust core gene associated with TNBC.
Fahad M. Alshabrmi· Naunyn-Schmiedeberg's Archiv...· 0 citations
PPAP2C exhibits the most significant overexpression pattern across 33 cancer types and was significantly associated with advanced clinical stages and aggressive subtypes (HER2+ and TNBC).
Xiao-Xi Lin, Li-Hang Cen, Si-Hui Yue et al.· Frontiers in Pharmacology· 0 citations
The results demonstrate that S100A10 is significantly upregulated in HCC and is closely associated with poor prognosis and an immunosuppressive state, and provides a theoretical basis for combinatorial strategies targeting metabolism and immunotherapy.
Jing-Xu Zhang, Gang-Gang Wang, Zhijie Zhou et al.· International Immunopharmaco...· 0 citations
Purpose: Obesity-associated colorectal cancer (CRC) involves complex molecular networks that limit the effectiveness of single-target therapies. This study aimed to develop an integrative computational pipeline for identifying key regulatory hubs and designing a multi-target-directed ligand (MTDL) capable of simultaneo...
Merve Uça Apaydın, Huseyin Guner, Resat Unal et al.· Cukurova Medical Journal· 0 citations
BACKGROUND
Current pharmacotherapies for chronic kidney disease (CKD) are limited by adverse effects and a "one-target-one-drug" paradigm. Necroptosis is a key driver of renal deterioration, yet its regulatory network remains poorly defined. Modified Da-Huang-Fu-Zi Decoction (DHFZ) has shown clinical efficacy, although...
Si-Teng Zhang, Wei Zhu, Guo-Fang Huang et al.· Computational biology and ch...· 0 citations
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