The objective of this study was to explore the influence of isoflurane on the cell proliferation, apoptosis, and invasion of Tca8113 and HSC2 cell lines in vitro. MTT test was used to detect the cell proliferation. It was performed 72h after exposure to isoflurane to make sure that a time for normal cell cycle progression was allowed. The cell apoptosis of Tca8113 and HSC2 cell lines were detected by flow cytometry. We used transwell chamber to detect the cell invasion of Tca8113 and HSC2 cell lines. There was a statistically significant increase of cell proliferation in Tca8113 and HSC2 cell lines after exposure to 2% isoflurane for 3 and 6h. The difference between 3 and 6h group is statistically significant in Tca8113 and HSC2 cell lines. Flow cytometry showed that there was a decrease of cell apoptosis in Tca8113 and HSC2 cell lines after exposure to 2% isoflurane for 3 and 6h. Transwell test showed there was a statistically significant increase of cell invasion in Tca8113 and HSC2 cell lines after exposure to 2% isoflurane for 3 and 6h, and it showed a significant difference between 3h group and 6h group of Tca8113 cell line. Our results demonstrated that isoflurane increased malignancy of head and neck squamous cell carcinoma cell lines in vitro. Isoflurane might enhance tumor development and promote metastasis of tumor cells in HNSCC patients. It is suggested that it might be more suitable to choose total intravenous anesthesia for HNSCC patients.
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http://dx.doi.org/10.1016/j.oraloncology.2011.03.002 | DOI Listing |
Eur J Epidemiol
January 2025
Department of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Stockholm, Sweden.
The Stockholm Early Detection of Cancer Study (STEADY-CAN) cohort was established to investigate strategies for early cancer detection in a population-based context within Stockholm County, the capital region of Sweden. Utilising real-world data to explore cancer-related healthcare patterns and outcomes, the cohort links extensive clinical and laboratory data from both inpatient and outpatient care in the region. The dataset includes demographic information, detailed diagnostic codes, laboratory results, prescribed medications, and healthcare utilisation data.
View Article and Find Full Text PDFNPJ Precis Oncol
January 2025
Zentalis Pharmaceuticals, Inc., San Diego, CA, USA.
Upregulation of Cyclin E1 and subsequent activation of CDK2 accelerates cell cycle progression from G1 to S phase and is a common oncogenic driver in gynecological malignancies. WEE1 kinase counteracts the effects of Cyclin E1/CDK2 activation by regulating multiple cell cycle checkpoints. Here we characterized the relationship between Cyclin E1/CDK2 activation and sensitivity to the selective WEE1 inhibitor azenosertib.
View Article and Find Full Text PDFSci Rep
January 2025
School of Medicine, Nankai University, Tianjin, 300071, China.
Cholangiocarcinoma (CCA), a highly aggressive form of cancer, is known for its high mortality rate. A Disintegrin and Metalloprotease Domain-like Protein Decysin-1 (ADAMDEC1) can promote the development and metastasis in various tumors by degrading the extracellular matrix. However, its regulatory mechanism in CCA remains unclear.
View Article and Find Full Text PDFAnn Hematol
January 2025
Department of Hematology, Navy Medical Center of PLA, Naval Medical University, No. 338 West Huaihai Road, Changning District, Shanghai, 200052, China.
Multiple myeloma(MM) remains incurable with high relapse and chemoresistance rates. Differentially expressed genes(DEGs) between newly diagnosed myeloma and secondary plasma cell leukemia(sPCL) were subjected to a weighted gene co-expression network analysis(WGCNA). Drug resistant myeloma cell lines were established.
View Article and Find Full Text PDFSci Rep
January 2025
School of Physics, Engineering and Technology, University of York, Heslington, York, YO10 5DD, UK.
Prostate cancer is a disease which poses an interesting clinical question: Should it be treated? Only a small subset of prostate cancers are aggressive and require removal and treatment to prevent metastatic spread. However, conventional diagnostics remain challenged to risk-stratify such patients; hence, new methods of approach to biomolecularly sub-classify the disease are needed. Here we use an unsupervised self-organising map approach to analyse live-cell Raman spectroscopy data obtained from prostate cell-lines; our aim is to exemplify this method to sub-stratify, at the single-cell-level, the cancer disease state using high-dimensional datasets with minimal preprocessing.
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