Background: Current treatments have a modest impact on survival of pancreatic cancer patients and this study investigates the interaction between sorafenib and gemcitabine and the molecular pharmacodynamics of this combination.
Methods: The pancreatic cancer cells were treated with sorafenib and gemcitabine, alone or in combination. The effects of treatments were evaluated on cell proliferation, cell cycle, apoptosis, phosphorylation of Akt, c-Kit, ERK and VEGFR2, and expression of genes related to drug activity.
Results: Gemcitabine and sorafenib synergistically interacted on the inhibition of cell proliferation, and assessment of apoptosis demonstrated that drug associations increased the apoptotic index. Sorafenib reduced c-Kit, ERK and VEGFR2 activation and on the other hand, gemcitabine inhibited Akt phosphorylation. Moreover, quantitative PCR showed that sorafenib modulated the expression of genes related to gemcitabine activity, while gemcitabine induced the expression of RKIP.
Conclusion: These data demonstrate that gemcitabine and sorafenib combination displays a synergistic effect in pancreatic cancer cells.
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http://dx.doi.org/10.1159/000320031 | DOI Listing |
Discov Oncol
December 2024
Department of Pediatrics, The Affiliated Suqian Hospital of Xuzhou Medical University, Jiangsu, China.
Objective: Telomeres, made of repetitive DNA sequences and shelterin complexes, which were found at the ends of chromosomes and had been extensively studied in cancer research. However, in hepatocellular carcinoma (HCC) was still relatively scarce. In this study, we investigated the correlation between telomerase-related genes (TRGs) and the prognosis and immunotherapy of HCC patients to enhance clinical outcomes.
View Article and Find Full Text PDFStem Cells Int
November 2024
Institute of Urology, Key Laboratory of Gansu Province for Urological Diseases, Gansu Urological Clinical Center, Lanzhou University Second Hospital, Lanzhou 730030, China.
Front Microbiol
November 2024
Department of Gastroenterology, Hepatology, Infectious Diseases, and Endocrinology, Hannover Medical School, Hanover, Germany.
ACS Omega
November 2024
Department of Infectious Diseases, Zhoushan Hospital, Wenzhou Medical University, Zhoushan 316021, China.
Biol Direct
November 2024
Department of Hepatopancreatobiliary Surgery, Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
Background: Accurately identifying effective biomarkers and translating them into clinical practice have significant implications for improving clinical outcomes in hepatocellular carcinoma (HCC). In this study, our objective is to explore appropriate methods to improve the accuracy of biomarker identification and investigate their clinical value.
Methods: Concentrating on the N6-methyladenosine (m6A) modification regulators, we utilized dozens of multi-omics HCC datasets to analyze the expression patterns and genetic features of m6A regulators.
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