Current regulatory guidances do not address specific study designs for in vitro and in vivo drug-drug interaction studies. There is a common desire by regulatory authorities and by industry sponsors to harmonize approaches to allow for a better assessment of the significance of findings across different studies and drugs. There is also a growing consensus for the standardization of cytochrome P450 (CYP) probe substrates, inhibitors, and inducers and for the development of classification systems to improve the communication of risk to health care providers and patients. While existing guidances cover mainly CYP-mediated drug interactions, the importance of other mechanisms, such as transporters, has been recognized more recently and should also be addressed. This paper was prepared by the Pharmaceutical Research and Manufacturers of America (PhRMA) Drug Metabolism and Clinical Pharmacology Technical Working Groups and represents the current industry position. The intent is to define a minimal best practice for in vitro and in vivo pharmacokinetic drug-drug interaction studies targeted to development (not discovery support) and to define a data package that can be expected by regulatory agencies in compound registration dossiers.
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Breast Cancer Res
January 2025
Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
Background: Epidemiological studies associate an increase in breast cancer risk, particularly triple-negative breast cancer (TNBC), with lack of breastfeeding. This is more prevalent in African American women, with significantly lower rate of breastfeeding compared to Caucasian women. Prolonged breastfeeding leads to gradual involution (GI), whereas short-term or lack of breastfeeding leads to abrupt involution (AI) of the breast.
View Article and Find Full Text PDFJ Exp Clin Cancer Res
January 2025
School of Medicine, Chinese PLA General Hospital, Nankai University, Beijing, China.
Background: Glioblastoma multiforme (GBM) exhibits a cellular hierarchy with a subpopulation of stem-like cells known as glioblastoma stem cells (GSCs) that drive tumor growth and contribute to treatment resistance. NAD(H) emerges as a crucial factor influencing GSC maintenance through its involvement in diverse biological processes, including mitochondrial fitness and DNA damage repair. However, how GSCs leverage metabolic adaptation to obtain survival advantage remains elusive.
View Article and Find Full Text PDFSci China Life Sci
December 2024
NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Cancer Metabolism, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410078, China.
Circular RNAs (circRNAs) play pivotal roles in the development and progression of various diseases, including malignant tumors. However, the biological functions and the underlying mechanisms of many circRNAs remain elusive. In this study, we identified a novel circRNA, circTP63-N, generated through the splicing of exons 2-4 of the TP63 gene in nasopharyngeal carcinoma (NPC).
View Article and Find Full Text PDFActa Pharmacol Sin
January 2025
Jiangsu Key Laboratory of Neuropsychiatric Diseases and College of Pharmaceutical Sciences, The Fourth Affiliated Hospital of Soochow University, Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Key Laboratory of Drug Research for Prevention and Treatment of Hyperlipidemic Diseases, Soochow University, Suzhou, 215123, China.
Gastric cancer is a malignant gastrointestinal disease characterized by high morbidity and mortality rates worldwide. The occurrence and progression of gastric cancer are influenced by various factors, including the abnormal alternative splicing of key genes. Recently, RBM39 has emerged as a tumor biomarker that regulates alternative splicing in several types of cancer.
View Article and Find Full Text PDFSARS-CoV-2 variants are mainly defined by mutations in their spike. It is therefore critical to understand how the evolutionary trajectories of spike affect virus phenotypes. So far, it has been challenging to comprehensively compare the many spikes that emerged during the pandemic in a single experimental platform.
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