In the last few years, several studies have provided a causal link between constitutive activation of nuclear factor kappa-B (NF-kappaB) and the initiation and development of cancer. More recently, it appears that a cancer-induced inflammatory response may be an important factor in the inter-individual variability of the response to and toxic effects of cancer chemotherapy, as well as in the alteration of drug metabolism enzyme expression in patients. The relationships between chronic inflammation (or infection), cancer and drug metabolism are many: chronic infections lead to inflammation, inflammation may lead to cancer, cancer usually leads to an inflammatory syndrome, and inflammation alters the expression of drug metabolising enzymes and thus of the efficiency of cancer chemotherapy. This review focuses on the functional consequences of NF-kappaB activation during oncogenesis and on the expression of the major cytochrome P450s (CYP) involved in anticancer therapies. Finally, the potential role of NF-kappaB as the missing link between inflammation, cancer and alteration in hepatic drug metabolism in patients with cancer is discussed.
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http://dx.doi.org/10.1016/j.ejca.2006.01.005 | DOI Listing |
Biometrics
January 2025
Department of Statistics and Data Science, National University of Singapore, Singapore 117546, Singapore.
Pharmacogenomics stands as a pivotal driver toward personalized medicine, aiming to optimize drug efficacy while minimizing adverse effects by uncovering the impact of genetic variations on inter-individual outcome variability. Despite its promise, the intricate landscape of drug metabolism introduces complexity, where the correlation between drug response and genes can be shaped by numerous nongenetic factors, often exhibiting heterogeneity across diverse subpopulations. This challenge is particularly pronounced in datasets such as the International Warfarin Pharmacogenetic Consortium (IWPC), which encompasses diverse patient information from multiple nations.
View Article and Find Full Text PDFElife
January 2025
State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China.
Viral adhesion to host cells is a critical step in infection for many viruses, including monkeypox virus (MPXV). In MPXV, the H3 protein mediates viral adhesion through its interaction with heparan sulfate (HS), yet the structural details of this interaction have remained elusive. Using AI-based structural prediction tools and molecular dynamics (MD) simulations, we identified a novel, positively charged α-helical domain in H3 that is essential for HS binding.
View Article and Find Full Text PDFIUBMB Life
January 2025
Department of General Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Tamoxifen (TAM) is employed to treat premenopausal ER-positive breast cancer patients, but TAM resistance is the main reason affecting its efficacy. Thus, addressing TAM resistance is crucial for improving therapeutic outcomes. This study explored the potential role of Tinagl1, a secreted extracellular matrix protein, whose expression is compromised in TAM-resistant MCF-7 breast cancer cells (MCF-7R).
View Article and Find Full Text PDFArch Pharm (Weinheim)
January 2025
Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Gazi University, Ankara, Turkey.
The inhibition of human microsomal prostaglandin E (PGE) synthase-1 (mPGES-1) is a promising therapeutic modality for developing next-generation anti-inflammatory medications. In this study, we present novel 2-phenylbenzothiazole derivatives featuring heteroaryl sulfonamide end-capping substructures as inhibitors of human mPGES-1, with IC values in the range of 0.72-3.
View Article and Find Full Text PDFLiver Int
February 2025
Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Background And Aim: Discriminating between idiosyncratic drug-induced liver injury (DILI) and autoimmune hepatitis (AIH) is critical yet challenging. We aim to develop and validate a machine learning (ML)-based model to aid in this differentiation.
Methods: This multicenter cohort study utilised a development set from Beijing Friendship Hospital, with retrospective and prospective validation sets from 10 tertiary hospitals across various regions of China spanning January 2009 to May 2023.
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