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1.
Development and validation of an HPLC-UV method for routine trough plasma concentration monitoring of imatinib in Chinese patients with gastrointestinal stromal tumor 下载免费PDF全文
Imatinib is the first-line medication for the treatment of advanced gastrointestinal stromal tumor (GIST). Due to the large inter-individual variability, it is recommended to monitor the trough plasma concentration of imatinib to ensure the efficacy and safety of imatinib therapy. In the present study, an HPLC-UV method was developed and validated for quantitating imatinib in the plasma of Chinese GIST patients. The samples were processed by protein precipitation and then mixed with a neutralizing agent (1.4 g K2CO3 and 0.65 g KCl dissolved in 5 mL ultrapure water). The chromatographic separation was performed on an InertSustain C18 column (250 mm×4.6 mm, 5 µM) maintained at 40 ºC utilizing the mobile phase consisted of 25 mM NH4H2PO4 (pH 8.0)–acetonitrile (61:39, v/v) at a flow rate of 1 mL/min, with an ultraviolet detector set at 265 nm. The method was fully validated according to the published guidelines. The plotted calibration curves were all linear within the range of 50 to 10 000 ng/mL. The validation results of the intra-day and inter-day accuracies and precisions ranged from –5.81% to 6.33%. The extraction recoveries were within the range of 92.38% to 97.86%. All the results of stability studies were all consistent with the acceptance criteria of within ±15%. Finally, the method was successfully applied to trough plasma concentration monitoring of imatinib in 150 Chinese GIST patients orally administrated with imatinib. Incurred sample reanalysis was conducted, results of which were also in accordance with the acceptance criteria of within ±20%. 相似文献
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《Pathology, research and practice》2020,216(10):153109
ObjectiveTo identify hub genes and pathways involved in castrate-resistant prostate cancer (CRPC).MethodsThe gene expression profiles of GSE70768 were downloaded from Gene Expression Omnibus (GEO) datasets. A total of 13 CRPC samples and 110 tumor samples were identified. The differentially expressed genes (DEGs) were identified, and the gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analysis was performed. Protein-protein interaction (PPI) network module analysis was constructed and performed in Cytoscape software. Weighted correlation network analysis (WGCNA) was conducted to determine hub genes involved in the development and progression of CRPC. The gene expression profiles of GSE80609 were used for validation.ResultsA total of 1738 DEGs were identified, consisting of 962 significantly down-regulated DEGs and 776 significantly upregulated DEGs for the subsequent analysis. GO term enrichment analysis suggested that DEGs were mainly enriched in the extracellular matrix organization, extracellular exosome, extracellular matrix, and extracellular space. KEGG pathway analysis found DEGs significantly enriched in the focal adhesion pathway. PPI network demonstrated that the top 10 hub genes were ALB, ACACB, KLK3, CDH1, IL10, ALDH1A3, KLK2, ALDH3B2, HBA1, COL1A1. Also, WGCNA identified the top 5 hub genes in the turquoise module, including MBD4, BLZF1, PIP5K2B, ZNF486, LRRC37B2. Plus, the Venn diagram demonstrated that HBA1 was the key gene in both GSE70768 and GSE80609 datasets.ConclusionsThese newly identified genes and pathways could help urologists understand the differences in the mechanism between CRPC and PCa. Besides, it might be promising targets for the treatment of CRPC. 相似文献
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S.N. Rogers H. Al-Nakisbandi A. Dahill D. Lowe 《The British journal of oral & maxillofacial surgery》2021,59(1):86-90
Patient-reported outcomes (PRO) are an important component of treatment evaluation. Typically they are completed by patients on paper, but through advances in technology such as mobile phone apps and websites, there is a great opportunity for electronic completion. It can be challenging, particularly at a regional or national level, to maintain accurate core clinical records on head and neck cancer (HNC) (baseline, recurrence, second primary, and further treatment), and these will influence PROs and the reporting of outcomes. In addition, with data security and confidentiality there is merit in undertaking anonymous surveys, but in this approach, there is a reliance on patients’ recall. The aim of this study therefore was to compare updated hospital records with details completed by patients. In January 2019, 395 HNC patients who had been treated in 2015 and 2016 were sent a survey. They were asked to recall the clinical variables of gender, age at diagnosis, tumour site, tumour stage, and primary treatment, and these were analysed for agreement with the hospital records. The kappa statistic (KP) was used to measure the strength of agreement for categorical variables. There were 146 responders and one patient correctly stated that they did not have cancer. Five indicated further disease rather than primary cancer. Agreement between the hospital record and patients’ recall was excellent for gender (KP=0.97) and age group (KP=0.92), very good for treatment (KP=0.79), and good for site of cancer (KP=0.61), but poor for stage of cancer (KP=0.18). In general, patients gave accurate accounts of these details apart from tumour stage. 相似文献
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Santiago Vilar Rave Harpaz Eugenio Uriarte Lourdes Santana Raul Rabadan Carol Friedman 《J Am Med Inform Assoc》2012,19(6):1066-1074
Background
Drug–drug interactions (DDIs) are responsible for many serious adverse events; their detection is crucial for patient safety but is very challenging. Currently, the US Food and Drug Administration and pharmaceutical companies are showing great interest in the development of improved tools for identifying DDIs.Methods
We present a new methodology applicable on a large scale that identifies novel DDIs based on molecular structural similarity to drugs involved in established DDIs. The underlying assumption is that if drug A and drug B interact to produce a specific biological effect, then drugs similar to drug A (or drug B) are likely to interact with drug B (or drug A) to produce the same effect. DrugBank was used as a resource for collecting 9454 established DDIs. The structural similarity of all pairs of drugs in DrugBank was computed to identify DDI candidates.Results
The methodology was evaluated using as a gold standard the interactions retrieved from the initial DrugBank database. Results demonstrated an overall sensitivity of 0.68, specificity of 0.96, and precision of 0.26. Additionally, the methodology was also evaluated in an independent test using the Micromedex/Drugdex database.Conclusion
The proposed methodology is simple, efficient, allows the investigation of large numbers of drugs, and helps highlight the etiology of DDI. A database of 58 403 predicted DDIs with structural evidence is provided as an open resource for investigators seeking to analyze DDIs. 相似文献6.
The Arden Syntax is an HL7 standard language for representing medical knowledge as logic statements. Despite nearly 2 decades of availability, Arden Syntax has not been widely used. This has been attributed to the lack of a generally available compiler to implement the logic, to Arden's complex syntax, to the challenges of mapping local data to data references in the Medical Logic Modules (MLMs), or, more globally, to the general absence of decision support in healthcare computing. An XML representation (ArdenML) may partially address the technical challenges. MLMs created in ArdenML can be converted into executable files using standard transforms written in the Extensible Stylesheet Language Transformation (XSLT) language. As an example, we have demonstrated an approach to executing MLMs written in ArdenML using the Drools business rule management system. Extensions to ArdenML make it possible to generate a user interface through which an MLM developer can test for logical errors. 相似文献
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Digestive endoscopy is currently the main diagnostic procedure for investigation of the digestive tract when a digestive disease is suspected.The use of computers and electronic medical records for the management of endoscopic data are an important key to improving endoscopy unit efficiency and productivity.This technology supports optimal program operation,monitoring and evaluation colorectal cancer screening.This article is a comprehensive survey of endoscopic electronic medical records and information systems.Computerized clinical records have the capability of identifying patients due for screening and to calculate baseline rates of colorectal cancer screening by patient characteristics and by primary care physician and practice group.This paper describes data flow in the endoscopy unit,the minimum data set of colorectal cancer and key features of endoscopic electronic medical record.In addition,the researchers state standards in different aspects,especially terminology standards and interoperability standards for image and text. 相似文献