Radek Kucera1, David Smid2, Ondrej Topolcan3, Marie Karlikova1, Ondrej Fiala4, David Slouka1, Tomas Skalicky2, Vladislav Treska2, Vlastimil Kulda5, Vaclav Simanek1, Martin Safanda1, Martin Pesta6. 1. Laboratory of Immunoanalysis, Department of Nuclear Medicine, Medical School and Teaching Hospital in Pilsen, Charles University in Prague, Pilsen, Czech Republic. 2. Surgical Clinic, Medical School and Teaching Hospital in Pilsen, Charles University in Prague, Pilsen, Czech Republic. 3. Laboratory of Immunoanalysis, Department of Nuclear Medicine, Medical School and Teaching Hospital in Pilsen, Charles University in Prague, Pilsen, Czech Republic topolcan@fnplzen.cz. 4. Department of Oncology and Radiotherapy, Medical School and Teaching Hospital in Pilsen, Charles University in Prague, Pilsen, Czech Republic Biomedical Center, Medical School in Pilsen, Charles University in Prague, Pilsen, Czech Republic. 5. Institute of Chemistry and Biochemistry, Medical Faculty in Pilsen, Charles University in Prague, Pilsen, Czech Republic. 6. Institute of Biology, Medical Faculty in Pilsen, Charles University in Prague, Pilsen, Czech Republic.
Abstract
AIM: The first aim of this study was to search for new biomarkers to be used in gastric cancer diagnostics. The second aim was to verify the findings presented in literature on a sample of the local population and investigate the risk of gastric cancer in that population using a multivariant statistical analysis. PATIENTS AND METHODS: We assessed a group of 36 patients with gastric cancer and 69 healthy individuals. We determined carcinoembryonic antigen, cancer antigen 19-9, cancer antigen 72-4, matrix metalloproteinases (-1, -2, -7, -8 and -9), osteoprotegerin, osteopontin, prothrombin induced by vitamin K absence-II, pepsinogen I, pepsinogen II, gastrin and Helicobacter pylori for each sample. RESULTS: The multivariate stepwise logistic regression identified the following biomarkers as the best gastric cancer predictors: CEA, CA72-4, pepsinogen I, Helicobacter pylori presence and MMP7. CONCLUSION: CEA and CA72-4 remain the best markers for gastric cancer diagnostics. We suggest a mathematical model for the assessment of risk of gastric cancer. Copyright
AIM: The first aim of this study was to search for new biomarkers to be used in gastric cancer diagnostics. The second aim was to verify the findings presented in literature on a sample of the local population and investigate the risk of gastric cancer in that population using a multivariant statistical analysis. PATIENTS AND METHODS: We assessed a group of 36 patients with gastric cancer and 69 healthy individuals. We determined carcinoembryonic antigen, cancer antigen 19-9, cancer antigen 72-4, matrix metalloproteinases (-1, -2, -7, -8 and -9), osteoprotegerin, osteopontin, prothrombin induced by vitamin K absence-II, pepsinogen I, pepsinogen II, gastrin and Helicobacter pylori for each sample. RESULTS: The multivariate stepwise logistic regression identified the following biomarkers as the best gastric cancer predictors: CEA, CA72-4, pepsinogen I, Helicobacter pylori presence and MMP7. CONCLUSION: CEA and CA72-4 remain the best markers for gastric cancer diagnostics. We suggest a mathematical model for the assessment of risk of gastric cancer. Copyright
Authors: Jiri Molacek; Vladislav Treska; Jan Zeithaml; Ivana Hollan; Ondrej Topolcan; Ladislav Pecen; David Slouka; Marie Karlikova; Radek Kucera Journal: EPMA J Date: 2019-06-03 Impact factor: 6.543
Authors: Jindra Windrichova; Radek Kucera; Radka Fuchsova; Ondrej Topolcan; Ondrej Fiala; Jana Svobodova; Jindrich Finek; Dagmar Slipkova Journal: Technol Cancer Res Treat Date: 2018-01-01