Application of analytical protein microarrays in the diagnosis and therapy of lung cancer

Abstract

Lung cancer is one of the most commonly diagnosed cancers and a leading cause of cancer-related deaths. Analytical protein microarrays are a promising diagnostic tool, particularly for early disease detection. They enable rapid and sensitive analysis of multiple biomarkers, outperforming traditional methods, and allow for differentiation of lung cancer types, supporting personalized medicine. An additional advantage is the ability to analyze non-invasive samples, such as serum. Despite certain limitations, this technology is developing dynamically. The aim of this thesis is to present the principles of operation, structure, and analytical applications of protein microarrays as advanced diagnostic tools in molecular biology and in the study of protein interactions. The thesis also discusses the benefits resulting from the use of this technology, its advantages over traditional methods, as well as the limitations affecting its practical application in diagnostics and cancer therapy.