Background: Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) show promising therapeutic effects in patients with advanced non-small cell lung cancer (NSCLC). However, despite an initial response to TKIs treatment among responsive patients, most inevitably acquire resistance after a progression-free period of about 10 months. The percentage of T790M in TKI acquired-resistant patients in most studies is around 50%. The aim of this study is to assess the effects of the sequential administration of triptolide and geftinib on cell proliferation and apoptosis of lung adenocarcinoma cell H1975.
Methods: A MTT assay was used to measure cell proliferation. The potency of the sequential administration of triptolide and geftinib were determined by isobolograms and combination index (CI). Cell apoptosis and cycle distribution were detected by flow cytometry. The Hoechst 33258 method was used to observe the apoptotic morphology. Chemical colorimetric luminescence was used to measure the caspase activity.
Results: The results of isobolograms and CI showed that the sequential administration of triptolide following geftinib remarkably inhibited cell proliferation and cell apoptosis compared with other sequential administration models. The cycle distribution results indicated that sequential triptolide administration following geftinib blocked the cells in the G2/M phase but not in the G0/G1 phase. The activation of the Caspase-9/Caspase-3 cascade was mainly involved in the apoptotic pathway of lung adenocarcinoma cell H1975 in all sequential administration models.
Conclusions: The triptolide administration following geftinib might be a new therapeutic strategy for lung cancer with T790M mutation after having EGFR-TKIs resistance.
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http://dx.doi.org/10.3779/j.issn.1009-3419.2015.10.01 | DOI Listing |
Sci Rep
January 2025
Acupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, 610075, China.
Infertility has emerged as a significant global health concern. Assisted reproductive technology (ART) assists numerous infertile couples in conceiving, yet some experience repeated, unsuccessful cycles. This study aims to identify the pivotal clinical factors influencing the success of fresh embryo transfer of in vitro fertilization (IVF).
View Article and Find Full Text PDFBehav Res Methods
January 2025
Institute of Learning Sciences and Technologies, National Tsing Hua University, Hsinchu, 300044, Taiwan.
The measurement efficiency of a grid multidimensional computerized classification test (grid MCCT), which makes a classification decision per dimension, can be improved by taking the correlations between the dimensions into account in the termination criterion. The higher the correlations, the better the improvement in measurement efficiency. However, a termination criterion utilizing inter-dimensional information (i.
View Article and Find Full Text PDFOpen Forum Infect Dis
January 2025
Division of Infectious Diseases and International Health, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Background: Despite a high burden of sepsis in Sub-Saharan Africa, clinical data for adolescent and adult sepsis in this setting are limited. We sought to describe clinical characteristics, management, and outcomes in adolescents and adults with sepsis in northern Tanzania. We also assessed for clinical associations with in-hospital mortality.
View Article and Find Full Text PDFObjective: To explore patients' perceptions and attitudes towards patient guidelines (PGs) and to identify specific factors related to PG content, design, presentation, and management that may influence patients' use or adoption of PGs.
Methods: An exploratory sequential mixed-methods design was employed. Initial semi-structured interviews were conducted with a diverse group of individuals, including people with diabetes or oncology, and clinicians.
BMC Med Inform Decis Mak
January 2025
Great Ormond Street Institute of Child Health, University College London, London, UK.
Introduction: Unsupervised feature learning methods inspired by natural language processing (NLP) models are capable of constructing patient-specific features from longitudinal Electronic Health Records (EHR).
Design: We applied document embedding algorithms to real-world paediatric intensive care (PICU) EHR data to extract patient-specific features from 1853 patients' PICU journeys using 647 unique lab tests and medication events. We evaluated the clinical utility of the patient features via a K-means clustering analysis.
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