Purpose: Pancreatic cancer is associated with the poorest prognosis of any digestive cancer due to the high incidence of peritoneal dissemination, which is the cause of death in most cases. To determine the mechanisms of peritoneal dissemination in pancreatic cancer, we established a mouse model of high peritoneal dissemination.
Methods: A novel highly peritoneal-disseminating cell line was established from the human pancreatic cancer cell line; CAPAN-1. The new cell line, CAPAN-1P4a, was established from CAPAN-1 by repeated in vivo selection (four times) of the tumor cell line. To clarify the candidate genes implicated in peritoneal dissemination of pancreatic cancer, global gene expression screening was done using a cDNA macroarray.
Results: CAPAN-1P4a cells showed 100% metastasis 3 weeks after injection and high reproducibility in the inoculated mice. Twenty-seven genes were upregulated and 14 genes were downregulated in CAPAN-1P4a cells compared with CAPAN-1 cells. The genes differentially expressed in the two cell lines were included as tumor suppressor/apoptosis genes, regulatory transcription factor, membrane receptors, cell adhesion protein, membrane receptors, and so on.
Conclusions: Our established CAPAN-1P4a model offers a new means of conducting global gene expression analysis of pancreatic cancer cells with peritoneal dissemination and it has the potential to provide new insights into the mechanism of peritoneal dissemination in human pancreatic cancer.
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http://dx.doi.org/10.1007/s005950300042 | DOI Listing |
PLoS One
January 2025
Department of Computer Science, National Textile University, Faisalabad, Pakistan.
Accurate diagnosis of pancreatic cancer using CT scan images is critical for early detection and treatment, potentially saving numerous lives globally. Manual identification of pancreatic tumors by radiologists is challenging and time-consuming due to the complex nature of CT scan images and variations in tumor shape, size, and location of the pancreatic tumor also make it challenging to detect and classify different types of tumors. Thus, to address this challenge we proposed a four-stage framework of computer-aided diagnosis systems.
View Article and Find Full Text PDFCancer Immunol Immunother
January 2025
Oncology Unit, Macerata Hospital, Macerata, Italy.
Introduction: Renal cell carcinoma (RCC) is one of the most common types of urogenital cancer. The introduction of immune-based combinations, including dual immune-checkpoint inhibitors (ICI) or ICI plus tyrosine kinase inhibitors (TKIs), has radically changed the treatment landscape for metastatic RCC, showing varying efficacy across different prognostic groups based on the International Metastatic RCC Database Consortium (IMDC) criteria.
Materials And Methods: This retrospective multicenter study, part of the ARON-1 project, aimed to evaluate the outcomes of favorable-risk metastatic RCC patients treated with immune-based combinations or sunitinib.
Ann Surg Oncol
January 2025
Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, The Jikei University School of Medicine, Tokyo, Japan.
Background: AT-rich interaction domain 4B (ARID4B) is a transcriptional activator that regulates the phosphatidylinositol 3-kinase (PI3K)/AKT pathway in prostate cancer. However, the role of ARID4B in hepatocellular carcinoma (HCC) has remained unclear.
Methods: This study included 162 patients who had undergone primary hepatic resection for HCC between 2008 and 2019.
Ann Surg Oncol
January 2025
Division of Hepato-Biliary-Pancreatic Surgery, Shizuoka Cancer Center, Sunto-Nagaizumi, Shizuoka, Japan.
Cancer Immunol Immunother
January 2025
Liver Cancer Institute, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
Introduction: This study aimed to evaluate the safety and preliminary efficacy of serplulimab, a novel programmed death-1 inhibitor, with or without bevacizumab biosimilar HLX04 as first-line treatment in patients with advanced hepatocellular carcinoma.
Methods: This open-label, multicenter phase 2 study (clinicaltrials.gov identifier NCT03973112) was conducted in China and consisted of four treatment groups: group A (serplulimab 3 mg/kg plus HLX04 5 mg/kg, subsequent-line), group B (serplulimab 3 mg/kg plus HLX04 10 mg/kg, subsequent-line), group C (serplulimab 3 mg/kg, subsequent-line) and group D (serplulimab 3 mg/kg plus HLX04 10 mg/kg, first-line).
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