Fucoidan is a marine polymer extracted from diverse types of brown algae. This polysaccharide showed great potential towards treatment of different types of cancer. In this study, the activity of fucoidan extracted from Undaria Pinnatifida was investigated against pancreatic cancer (one of the most life-threatening cancers). Then, in an attempt to enhance the polymer's activity against cancer cells, conversion the polymer solution to nanoparticles was suggested to enhance its delivery through pancreatic cancer surrounding stroma. Novel fucoidan based nanoparticles were elaborated by polyelectrolyte interaction with the positively charged, active targeting ligand lactoferrin. The formulation was optimized through the interplay between different factors. Effect of fucoidan solution along with its blank nanoparticles was tested on the viability of pancreatic cancer cells and its migration and invasion abilities. Results confirmed the cytotoxic ability of fucoidan against pancreatic cancer. IC value decreased by 2.3 folds when the polymer was converted to nanoparticles. The prepared nanosystems showed an enhanced ability to prevent pancreatic cancer cells' migration and invasion. Results suggested the potential of using these nanoparticles as bioactive dual-targeted system either blank or loaded with different anticancer agents for treatment for pancreatic cancer.
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http://dx.doi.org/10.1016/j.ijbiomac.2019.12.177 | DOI Listing |
PLoS One
January 2025
Department of Geriatric Medicine, the Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China.
Objective: To develop a predictive model for microvascular invasion (MVI) in hepatocellular carcinoma (HCC) through radiomics analysis, integrating data from both enhanced computed tomography (CT) and magnetic resonance imaging (MRI).
Methods: A retrospective analysis was conducted on 93 HCC patients who underwent partial hepatectomy. The gold standard for MVI was based on the histopathological diagnosis of the tissue.
PLoS One
January 2025
Department of Nursing, the Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, China.
Objective: The relationship among body mass index (BMI), postoperative complications, and clinical outcomes in patients undergoing gastrectomy for gastric cancer remains unclear. This study aimed to evaluate this association using a meta-analysis.
Method: We conducted a systematic search of the PubMed, Embase, and Cochrane Library databases up to February 25, 2024.
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.
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