Background: The analysis of drug active molecules and residues in the treatment of cancer is important for the sustainability of human life and therapeutic effects. For this purpose, a new magnetic sorbent was developed to use in solid phase extraction prior to conventional high-performance liquid chromatography (HPLC) analysis of Paclitaxel (PAC) and Gemcitabine (GEM) molecules.
Methods: In this study, a separation and pre-concentration approach based on magnetic solid phase extraction (MSPE) was proposed for PAC and GEM by means of using a newly synthesized magnetic sorbent. After the MSPE procedure, an HPLC system with a diode array detector (DAD) was used to analyze trace amounts of PAC and GEM anticarcinogenic drugs in urine samples. Surface modification of magnetic FeO nanoparticles was carried out by diaminobenzidinetetrachloro hydrate (DABTC) for the first time and a useful sorbent was obtained for MSPE experiments.
Results: In the proposed method, PAC and GEM molecules were retained on the c in the presence of a pH 5.0 medium and desorbed to 300 μL of acetonitrile: methyl alcohol (1:1) eluent phase before HPLC-DAD analysis. Under the optimized conditions, the limit of detection (LOD) values for PAC and GEM were 1.38 and 1.44 ng mL while the enhancement factor for PAC and GEM were 139.5 and 145.3, respectively. The relative standard deviations (RSD %) for PAC and GEM were below 3.50% in inter-day repeated experiments by means of model solutions containing 100 ng mL drug active ingredients.
Conclusions: Synthesis and characterization of DABTC-FeO nanoparticles were performed using suitable methodologies. Optimization of MSPE was done step by step. And finally, the developed method was successfully applied to urine samples with quantitative recoveries in the range of 99.0% and 105.0%.
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http://dx.doi.org/10.1007/s43440-023-00465-5 | DOI Listing |
Chin Clin Oncol
October 2024
Department of Pharmacology, School of Pharmacy, Gannan Medical University, Ganzhou Cancer Precision Medicine Engineering Research Center, Ganzhou, China.
Pac Symp Biocomput
January 2024
Department of Pharmacology, Center for Pharmacogenomics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA†Contributed equally to the work.
Gene imputation and TWAS have become a staple in the genomics medicine discovery space; helping to identify genes whose regulation effects may contribute to disease susceptibility. However, the cohorts on which these methods are built are overwhelmingly of European Ancestry. This means that the unique regulatory variation that exist in non-European populations, specifically African Ancestry populations, may not be included in the current models.
View Article and Find Full Text PDFCancer Lett
December 2023
Department of Surgery, University of Missouri-Columbia, Columbia, MO, 65212, USA; NextGen Precision Health Institute, University of Missouri-Columbia, Columbia, MO, 65212, USA; Ellis Fischel Cancer Center, University of Missouri-Columbia, Columbia, MO, 65212, USA; Department of Molecular Microbiology & Immunology, University of Missouri-Columbia, Columbia, MO, 65212, USA. Electronic address:
Tumor-associated macrophages (TAMs), as a major and essential component of tumor microenvironment (TME), play a critical role in orchestrating pancreatic cancer (PaC) tumorigenesis from initiation to angiogenesis, growth, and systemic dissemination, as well as immunosuppression and resistance to chemotherapy and immunotherapy; however, the critical intrinsic factors responsible for TAMs reprograming and function remain to be identified. By performing single-cell RNA sequencing, transforming growth factor-beta-induced protein (TGFBI) was identified as TAM-producing factor in murine PaC tumors. TAMs express TGFBI in human PaC and TGFBI expression is positively related with human PaC growth.
View Article and Find Full Text PDFAsian Pac J Cancer Prev
September 2023
Department of Pathology, Faculty of Medicine, Prince of Songkhla University, Hat Yai, Songkhla, Thailand.
Background: This study aimed to evaluate the expression of class III β-tubulin (TUBB3), ribonucleoside-diphosphate reductase 1 (RRM1), apurinic/apyrimidinic endonuclease 1 (APE1), and survivin in patients with advanced non-small cell lung cancer (NSCLC) to predict response to chemotherapy.
Methods: TUBB3, RRM1, APE1, and survivin expression levels were determined using immunohistochemistry. Protein expression was validated in Car/Pac-resistant human H1792 and A549 cells.
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