Next-generation sequencing (NGS) and biomarkers play a key role in the diagnosis and personalized therapy of gastric cancer. These technologies provide a deep understanding of the molecular basis of the disease.
NGS allows simultaneous analysis of multiple genes, identifying mutations and changes in their expression. In case of stomach cancer, this makes it possible to identify specific mutations to determine prognosis and treatment choice, study the genomic profiles of patients to find targets for targeted and immunotherapy.
The use of NGS and biomarkers allows the development of individualized treatment regimens, increasing effectiveness and reducing side effects. Biomarker analysis also helps to track the progression of the disease and identify patients at high risk of relapse.
The study of molecular genetic markers in tumor tissues, as well as the influence of genetic and age-related factors, is an important scientific and clinical task. Solving this problem will create a personalized approach to patient management.
This work examines the influence of age on the choice of treatment tactics and prognosis in patients with resectable gastric cancer. The main focus is on the analysis of surgical, chemotherapeutic, topographic, pathomorphological, and molecular genetic correlations in various age groups.