RESUMO
Differential diagnosis of thyroid gland neoplasms is an urgent problem in modern oncothyroidology. This is especially true for the diagnosis of follicular thyroid cancer and follicular thyroid adenoma at the preoperative stage. In this study, in silico methods were used to search for potential markers that are microRNA target genes. A list of 19 microRNAs was compiled, the expression of which varies depending on the type of thyroid neoplasms. For these microRNAs, the target genes were selected considering tissue specificity and association with thyroid diseases. We selected 9 target genes (MCM2, RASSF2, SPAG9, SSTR2, TP53BP1, INPP4B, CCDC80, GNAS, and PLK1), which can be considered as promising markers according to published data. Also, 6 new potential markers (CDK4, FGFR1, ERBB3, EGR1, MYLK, and SRC) were found, which make it possible to distinguish between follicular thyroid cancer and follicular thyroid adenoma. The proposed algorithm using various bioinformatics tools allows us to identify potential markers for the differential diagnosis of thyroid neoplasms.
Assuntos
Adenoma , MicroRNAs , Neoplasias da Glândula Tireoide , Proteínas Adaptadoras de Transdução de Sinal/metabolismo , Adenocarcinoma Folicular , Adenoma/diagnóstico , Adenoma/genética , Adenoma/patologia , Biomarcadores Tumorais/genética , Biomarcadores Tumorais/metabolismo , Diagnóstico Diferencial , Humanos , MicroRNAs/genética , Neoplasias da Glândula Tireoide/diagnóstico , Neoplasias da Glândula Tireoide/genética , Neoplasias da Glândula Tireoide/patologiaRESUMO
MicroRNA whose expression depends on the receptor status of breast cancer were selected using bioinformatic analysis. The expression of 9 microRNAs (16, 17, 21, 27, 125, 146, 155, 200a, and 221) was analyzed in 76 samples of breast cancer with various receptor phenotypes. The expression of microRNAs 155, 27, and 200a did not differ in various types of breast cancer. The data on positive correlation between the expression of microRNA-21 and microRNA-221 and negative receptor status of the tumor were confirmed. The expression of the tumor suppressing microRNA-125b decreased in samples of breast cancer expressing HER2 and ER and in triple negative breast cancer, which characterizes it as a universal marker of breast cancer. An increase in the expression of microRNA-16 was shown in samples of breast cancer expressing HER2 and ER. The expression of microRNA-17 decreased in triple negative breast cancer and increased in ER+, PR+, and HER+ types of breast cancer. MicroRNAs 16, 17, 21, 125b, 146b, and 221 can be promising markers for differential diagnostics of various phenotypes of breast cancer.
Assuntos
Neoplasias da Mama/genética , MicroRNAs/genética , Idoso , Idoso de 80 Anos ou mais , Biomarcadores Tumorais/genética , Biologia Computacional , Feminino , Regulação Neoplásica da Expressão Gênica/genética , Humanos , Pessoa de Meia-IdadeRESUMO
In vivo proton magnetic resonance spectroscopy (1H MRS) of ICR male mice was used to study the brain (hippocampus) metabolic response to the acute deficiency of the available energy or to the pro-inflammatory stimulus. Inhibition of glycolysis by means of an intraperitoneal injection with 2-deoxy-D-glucose (2DG) reduced the levels of gamma-aminobutiric acid (GABA), N-acetylaspartate (NAA) and choline compounds, and at the same time increased the levels of glutamate and glutamine. An opposite effect was found after injection with bacterial lipopolysaccharide (LPS)--a very common pro-inflammatory inducer. An increase in the amounts of GABA, NAA and choline compounds in the brain occurred three hours after the injection of LPS. Different metabolic responses to the energy deficiency and the pro-inflammatory stimuli can explain the contradictory results of the brain MRS studies under neurodegenerative pathology, which is accompanied by both mitochondrial dysfunction and inflammation. Prevalence of the excitatory metabolites such as glutamate and glutamine in 2DG treated mice is in good agreement with excitation observed during temporary reduction of the available energy under acute hypoxia or starvation. In turn, LPS, as an inducer of the sickness behavior, shifts brain metabolic pattern to prevalence of the inhibitory neurotransmitter GABA.
