The design, molecular docking, synthesis and structure-activity relationship (SAR) of a series of novel methyl 1-oxo-2-(propan-2-yl)-3-(pyridin-3-yl)-1,2,3,4-tetrahydroisoquinoline-4-carboxylates, were investigated for antiproliferative and cytotoxic studies by screening against cancer cell lines of different origin by MTT, LDH and Trypan Blue Assay. Irrespective of cell lines, among the synthesized nonpeptido-mimetic analogs 5a-e, 5c has executed potent bio-potency with IC value of 7.00 to 7.21 μM, which further expressed in-vivo anti-tumor activity against murine T-cell lymphoma cell lines (Daltons Lymphoma-DLA) by regressing tumor growth. The formation of neovessels from the vasculogenesis was diminished reflecting the antitumor activity. The neovessel formation is directly relied on expression of matrix meteloproteases (MMP's) level which was drastically reduced by 5c treatment as evaluated by immonoblot assays. This is further supported by in-silico ADMET studies performed by ACD I-Lab 2.0 were in agreement with Lipinski rule of five. Reporting results were assessed as a positive parameter for further validation of the compound for therapeutic potential of cancer by 5c for preclinical studies in near future.
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http://dx.doi.org/10.1002/cbdv.202201152 | 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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