In experiments with whole animals infested with a highly malignant strain of Ehrlich ascites tumor cells, serial concentrations of amino acids were determined for host plasma, ascitic fluid, and tumor cells, throughout tumor development. Concentration gradients of glutamine, asparagine, valine, leucine, isoleucine, phenylalanine, tyrosine, histidine, tryptophan, arginine, serine, methionine, and taurine from the host plasma toward the ascitic liquid were established; while on the other hand, concentration gradients from the ascitic liquid toward the plasma were established for glutamate, aspartate, glycine, alanine, proline, and threonine. With the exception of aspartate the concentrations of these amino acids were highest inside the cells. Arginine was the only amino acid not detected in tumor cells. In vitro incubations of tumor cells in the presence of glutamine and/or glucose, as the energy and nitrogen sources, confirmed the amino acid fluxes previously deduced from the observed relative concentrations of amino acids in plasma, ascitic liquid, and tumor cells, suggesting that glutamate, alanine, aspartate, glycine, and serine can be produced by tumors. These findings support that changes in amino acid patterns occurring in the host system are related to tumor development.
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http://dx.doi.org/10.1016/0003-9861(89)90335-4 | DOI Listing |
BMC Pharmacol Toxicol
January 2025
Biochemistry Department, Faculty of Science, Tanta University, Tanta, Egypt.
Background: Naringenin, a flavonoid compound found in citrus fruits, possesses valuable anticancer properties. However, its potential application in cancer treatment is limited by poor bioavailability and pharmacokinetics at tumor sites. To address this, Naringenin nanoparticles (NARNPs) were prepared using the emulsion diffusion technique and their anticancer effects were investigated in HepG2 cells.
View Article and Find Full Text PDFWorld J Surg Oncol
January 2025
Department of Hepatobiliary Surgery, Guangzhou Red Cross Hospital of Jinan University, Tongfu Roud 396, Guangzhou, 510220, Guangdong, China.
Schwannomas are tumors that originate from the glial cells of the nervous system and can occur on myelinated nerve fibers throughout the body, especially in the craniofacial region. However, pancreatic schwannomas are extremely rare. We report a case of a pancreatic schwannoma that was difficult to differentiate from other pancreatic tumors preoperatively.
View Article and Find Full Text PDFJ Exp Clin Cancer Res
January 2025
School of Medicine, Chinese PLA General Hospital, Nankai University, Beijing, China.
Background: Glioblastoma multiforme (GBM) exhibits a cellular hierarchy with a subpopulation of stem-like cells known as glioblastoma stem cells (GSCs) that drive tumor growth and contribute to treatment resistance. NAD(H) emerges as a crucial factor influencing GSC maintenance through its involvement in diverse biological processes, including mitochondrial fitness and DNA damage repair. However, how GSCs leverage metabolic adaptation to obtain survival advantage remains elusive.
View Article and Find Full Text PDFCancer Cell Int
January 2025
Department of Urology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China.
Background: Tumor microenvironment (TME) plays a crucial role in tumor growth and metastasis. Exploring biomarkers that are significantly associated with TME can help guide individualized treatment of patients.
Methods: We analyzed the expression and survival of P4HB in pan-cancer through the TCGA database, and verified the protein level of P4HB by the HPA database.
Eur J Med Res
January 2025
Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, China.
Objectives: SOX10 is crucially implicated in various cancer, yet the regulatory role in pancreatic cancer (PC) remains enigmatic. Underlying molecular mechanisms of SOX10 in PC were explored in our study.
Methods: Relationships between SOX10 and immune landscape were estimated using bioinformatic approaches.
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