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EN
Proteins are major components that directly determine phenotypes of cells and organisms, in either normal or pathological conditions. Because of numerous post-translational events that modify structure and function of proteins, the knowledge of genomes is only at the beginning of understanding of the full complexity of biological systems. 'Proteomics' is the study of proteomes, which addresses proteins' 3D structure, function, and their inter- and intracellular communication. Among primary goals of proteomics, there is discovery of biomarker for various human disease conditions. Plasma and serum are considered to be the source of choice in molecular diagnostics. The development of cancer involves transformation and proliferation of altered cell types that produce unique proteins and enzymes, which can significantly modify the pattern of serum peptides and proteins. The serum protein/peptide profiles that could be registered using different analytical methodologies appear to carry important information with direct clinical applicability. Importantly, such peptide profiles itself could become a new kind of potential tumor marker. These approaches are promising, but the results obtained are still preliminary. For example, detection of disease markers in the blood proteome could be hampered by its extremely low concentrations and the presence of a few abundant components (e.g., albumin and immunoglobulins), and thus development of more specific and sensitive analytical methods is still required. Nevertheless, identification of serum proteomic patterns or molecular signatures specific for different cancer types, stages and responses to therapy is possible at this moment. This article provides a comprehensive overview of current methodologies used for cancer biomarkers detection in blood proteome.
EN
Single-nucleotide polymorphisms in genes involved in DNA-damage-induced responses are reported frequently to be a risk factor in various cancer types. Here we analysed polymorphisms in 5 genes involved in DNA repair (XPD Asp312Asn and Lys751Gln, XRCC1 Arg399Gln, APE1 Asp148Glu, NBS1 Glu185Gln, and XPA G-4A) and in a gene involved in regulation of the cell-cycle (CCND1 A870G). We compared their frequencies in groups of colon, head and neck, and breast cancer patients, and 2 healthy control groups: (1) matched healthy Polish individuals and (2) a NCBI database control group. Highly significant differences in the distribution of genotypes of the APE1, XRCC1 and CCND1 genes were found between colon cancer patients and healthy individuals. The 148Asp APE1 allele and the 399Gln XRCC1 allele apparently increased the risk of colon cancer (OR = 1.9-2.3 and OR = 1.5-2.1, respectively). Additionally, frequencies of XPD genotypes differed between healthy controls and patients with colon or head and neck cancer. Importantly, no differences in the distribution of these polymorphisms were found between healthy controls and breast cancer patients. The data clearly indicate that the risk of colon cancer is associated with single-nucleotide polymorphism in genes involved in base-excision repair and DNA-damage-induced responses.
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