RESUMEN
The search for novel parameters to predict the risk of relapse in breast cancer was conducted. Significant correlation between the risk of relapse and α-2A adrenergic receptor (ADRA2A) expression was revealed using public microarray datasets. This relationship was confirmed by validation on independent microarray dataset. It was found that when assessing the risk of BC relapse, the accuracy of prediction based solely on the expression of ADRA2A gene is close to that made using OncotypeDX and MammaPrint test systems. In this case, addition of only one or two supplemental prognostic markers (for instance, expression of SQLE gene or SQLE and DSCC1genes) to ADRA2A ensures the accuracy of prediction not inferior to reliability of these test systems.
Asunto(s)
Algoritmos , Biomarcadores de Tumor/genética , Neoplasias de la Mama/genética , Recurrencia Local de Neoplasia/genética , Receptores Adrenérgicos alfa 2/genética , Neoplasias de la Mama/diagnóstico , Proteínas Portadoras/genética , Bases de Datos Genéticas , Femenino , Expresión Génica , Humanos , Metionina Sulfóxido Reductasas/genética , Recurrencia Local de Neoplasia/diagnóstico , Estadificación de Neoplasias , Proteínas Nucleares/genética , Valor Predictivo de las Pruebas , Pronóstico , Riesgo , Escualeno-Monooxigenasa/genética , Análisis de Matrices TisularesRESUMEN
The paper presents a formalized statement of the problem of selecting parameters and construction of a genomic classifier for medical test systems with mathematical methods of machine learning without the use of biological and medical knowledge. A method is proposed to solve this problem. The results of testing the method using microarray datasets containing information on genome-wide transcriptome of the samples of estrogen positive breast tumors are discussed. Testing showed that the quality of classification provided by the constructed test system and implemented on the basis of assessments of expression of 12 genes is not inferior to the quality of classification carried out by such test systems as OncotypeDX and MammaPrint.
Asunto(s)
Neoplasias de la Mama/diagnóstico , Programas Informáticos , Neoplasias de la Mama/clasificación , Neoplasias de la Mama/metabolismo , Femenino , Perfilación de la Expresión Génica , Genómica , Humanos , Receptores de Estrógenos/metabolismo , Máquina de Vectores de SoporteRESUMEN
Subunits 70S, 50S, and 30S of ribosomes of E. coli and T. maritima have been studied by atomic force microscopy. A considerable heterogeneity of structures was visualized when 70S and 30S subunits were sorbed on mica. The linear size and the height of molecules were estimated. It was found that the heights of ribosomes of E. coli and T. maritima substantially differ. The average height of 70S ribosomes of E. coli was 9.4 + 0.01 nm and that of T. maritima was 10.35 +/- 0.02 nm. The differences in the dimensions were probably determined by special organization of the mobile ribosomal element the L7/L12-stalk.
Asunto(s)
Escherichia coli/ultraestructura , Ribosomas/ultraestructura , Thermotoga maritima/ultraestructura , Microscopía de Fuerza Atómica , Ribosomas/químicaRESUMEN
Complex formation between immunoglobulins and ligands immobilized on mica was studied by atomic force microscopy in two different systems. In the first system, 60-kDa ligands possessing only one site for antibody recognition were used. In the other system, a more complex interaction of human immunoglobulin with immobilized polyclonal antibodies was studied. In both systems, specific complexes with proper ligand appeared, and unspecific interaction was not detected. The method of revealing immunocomplexes by image atomic force microscopy can be used in the development of modern diagnostic systems.