Here we report the expression of major pyrimidine metabolising enzymes in pancreatic cancer cell lines, chronic pancreatitis tissue and human pancreatic cancer and the in vitro uptake of 3'-[(18)F]fluoro-3'-deoxythymidine ([(18)F]FLT). The expression of pyrimidine metabolising enzymes was evaluated with real-time PCR, Western blot and immunostaining. Thymidine kinase 1 (TK-1) activity was measured with a fluorocytometric assay. The cellular uptake and intracellular metabolism of [(18)F]FLT were evaluated in pancreatic lobules and in transformed cancer cell lines. TK-1 and thymidine synthetase mRNA were increased in six pancreatic cancer cell lines, while mRNA levels of thymidine kinase 2 and deoxycytidine kinase were down-regulated. High TK-1 activity was confirmed in all cell lines. Furthermore, TK-1 was overexpressed in human pancreatic cancer as compared with normal pancreatic tissue and samples from patients with chronic pancreatitis. The cellular uptake of [(18)F]FLT was 18.4%+/-3.6% and 5.2%+/-1.4% of the applied radioactivity after 240 min in SW-979 and BxPc-3 cells, respectively, while uptake of [(18)F]fluorodeoxyglucose ([(18)F]FDG) was only 0.6%+/-0.04% (SW-979) and 0.3%+/-0.13% (BxPc-3) after 240 min of incubation. In contrast, cellular uptake of [(18)F]FLT in isolated pancreatic lobules and growth-arrested HT1080 cells was lower as compared with the uptake of [(18)F]FDG and with the malignant pancreatic cancer cell lines. HPLC analysis of the perchloric acid-soluble cell fraction demonstrated the phosphorylation of [(18)F]FLT to the respective monophosphate in both cell lines. Furthermore, 0.8%+/-0.12% (BxPc-3) and 1.3%+/-0.38% (SW-979) of the applied radioactivity was detected in the perchloric acid-insoluble cell fraction, indicating the incorporation of [(18)F]FLT into the DNA. Our results demonstrate the cellular uptake, intracellular trapping and incorporation into the DNA of [(18)F]FLT in pancreatic cancer cells in vitro. TK-1, as the rate-limiting enzyme of [(18)F]FLT metabolism, is overexpressed in pancreatic cancer cell lines and in human pancreatic cancer. Thus, we propose [(18)F]FLT as a promising tracer for positron emission tomography that might overcome current limitations in the diagnosis of pancreatic cancer.
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http://dx.doi.org/10.1007/s00259-002-0851-0 | DOI Listing |
Ann Surg Oncol
January 2025
Hepato-Pancreato-Biliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Discov Oncol
January 2025
Department of Laboratory, the Second Hospital of Shanxi Medical University, No. 382, Wuyi Road, Taiyuan, 030001, Shanxi, People's Republic of China.
Background: Pancreatic cancer (PAC) has a complex tumor immune microenvironment, and currently, there is a lack of accurate personalized treatment. Establishing a novel consensus machine learning driven signature (CMLS) that offers a unique predictive model and possible treatment targets for this condition was the goal of this study.
Methods: This study integrated multiple omics data of PAC patients, applied ten clustering techniques and ten machine learning approaches to construct molecular subtypes for PAC, and created a new CMLS.
mSphere
January 2025
State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ningning Liu works in the field of fungal infection and cancer progression, with a particular focus on the mechanism of host-pathogen interaction. In this mSphere of influence article, he reflects on how papers entitled "The fungal mycobiome promotes pancreatic oncogenesis via activation of MBL," by B. Aykut, S.
View Article and Find Full Text PDFJ Hepatobiliary Pancreat Sci
January 2025
Department of Gastroenterology, Shizuoka General Hospital, Shizuoka, Japan.
Cureus
January 2025
Hepato-Pancreato-Biliary (HPB) Unit, University Hospital Southampton NHS Foundation Trust, Southampton, GBR.
Background The relationship between physical activity and incident pancreatic cancer is poorly defined, and the evidence to date is inconsistent, largely due to small sample sizes and insufficient incident outcomes. Using the UK Biobank cohort dataset, the association between physical activity levels at recruitment and incident pancreatic ductal adenocarcinoma (PDAC) at follow-up was analysed. Method Physical activity, the key exposure, was quantified using Metabolic Equivalent Task (MET) values and categorised into walking, moderate, and vigorous activity.
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