Hanne-Line Rabben

Knowledge Discovery in Databases of Proteomics by Systems Modeling in Translational Research on Pancreatic Cancer

Mathilde Resell, Elisabeth Pimpisa Graarud, Hanne-Line Rabben, Animesh Sharma et autres

Background: Knowledge discovery in databases (KDD) can contribute to translational research, also known as translational medicine, by bridging the gap between in vitro and in vivo studies, and clinical applications. Here, we propose a ‘systems modeling’ workflow for KDD. Methods: This framework …

no, us (code pays fourni par la source)

Knowledge Discovery in Datasets of Proteomics by Systems Modeling in Translational Research on Pancreatic Cancer

Mathilde Resell, Elisabeth Pimpisa Graarud, Hanne-Line Rabben, Animesh Sharma et autres

Abstract Knowledge discovery in databases (KDD) can contribute to translational research, also known as translational medicine, by bridging the gap between in vitro and in vivo studies and clinical applications. Here, we propose a ‘systems modeling’ workflow for KDD. This framework includes …

no, us (code pays fourni par la source)

Proteomics profiling of research models for studying pancreatic ductal adenocarcinoma

Mathilde Resell, Hanne-Line Rabben, Animesh Sharma, Lars Hagen et autres

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, with a five-year survival rate of 10-15% due to late-stage diagnosis and limited efficacy of existing treatments. This study utilized proteomics-based systems modelling to generate multimodal datasets from various research models, …

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Multi-bioinformatics revealed potential biomarkers and repurposed drugs for gastric adenocarcinoma-related gastric intestinal metaplasia

Gøran Andersen, Aleksandr Ianevski, Mathilde Resell, Naris Pojskić et autres

Biomarkers associated with the progression from gastric intestinal metaplasia (GIM) to gastric adenocarcinoma (GA), i.e., GA-related GIM, could provide valuable insights into identifying patients with increased risk for GA. The aim of this study was to utilize multi-bioinformatics to reveal potential biomarkers …

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Mo1138 COMPARATIVE PROTEOMICS REVEALS TRANSLATIONAL POTENTIAL OF TARGETS FOR PANCREATIC DUCTAL ADENOCARCINOMA

Mathilde Resell, Hanne-Line Rabben, Manoj Amrutkar, Lars Hagen et autres

362 ARREST OF EXOCYTOSIS/ENDOCYTOSIS COUPLING INHIBITS THE PROGRESSION OF PANCREATIC DUCTAL ADENOCARCINOMA IN MICE

Chun‐Mei Zhao, Hanne-Line Rabben, Mathilde Resell, Magnus Kringstad Olsen et autres

Mo1238 GASTRIC INTESTINAL METAPLASIA VS GASTRIC ADENOCARCINOMA IN PATIENTS: DISTINCT PHENOTYPIC TRAITS IN TRANSCRIPTOMICS

G⊘ran Andersen, Aleksandr Ianevski, Hanne-Line Rabben, Simon Geithus et autres

Human GC microarray data

Hanne-Line Rabben

Gastric mucosa samples from antrum, cardia, corpus (major and minor curvature); preneoplastic and neoplastic lesions.

Chemopreventive Effects of Dietary Isothiocyanates in Animal Models of Gastric Cancer and Synergistic Anticancer Effects With Cisplatin in Human Gastric Cancer Cells

Hanne-Line Rabben, Yosuke Kodama, Masahiko Nakamura, Atle M. Bones et autres

Naturally occurring isothiocyanates (ITCs) from edible vegetables have shown potential as chemopreventive agents against several types of cancer. The aims of the present study were to study the potential of ITCs in chemoprevention and in potentiating the efficacy of cytotoxic drugs in …

no, jp, us (code pays fourni par la source)

Computational Drug Repositioning and Experimental Validation of Ivermectin in Treatment of Gastric Cancer

Hanne-Line Rabben, Gøran Andersen, Aleksandr Ianevski, Magnus Kringstad Olsen et autres

Objective: The aim of the present study was repositioning of ivermectin in treatment of gastric cancer (GC) by computational prediction based on gene expression profiles of human and mouse model of GC and validations with in silico, in vitro and in vivo …

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Neural signaling modulates metabolism of gastric cancer

Hanne-Line Rabben, Gøran Andersen, Magnus Kringstad Olsen, A. J. Overby et autres

Tumors comprise cancer cells and the associated stromal and immune/inflammatory cells, i.e., tumor microenvironment (TME). Here, we identify a metabolic signature of human and mouse model of gastric cancer and show that vagotomy in the mouse model reverses the metabolic reprogramming, reflected …

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531 – Targeting Nerve-Cancer Metabolism Improved Overall Survival in Aged Mice with Gastric Cancer

Hanne-Line Rabben, Gøran Andersen, Magnus Kringstad Olsen, Timothy C. Wang et autres