MICA-129 Met/Val polymorphism could be a genetic biomarker for Familial Breast Cancer in the Tunisian population

MICB Genetic Variants and Its Protein Soluble Level Are Associated with the Risk of Chronic GvHD and CMV Infection after Allogeneic HSCT

The aim of the present study was to determine the associations between the MICB genetic variability and the expression and the risk of development of post-transplant complications after allogeneic hematopoietic stem cell transplantation (HSCT). HSCT recipients and their donors were genotyped for two MICB polymorphisms (rs1065075, rs3828903). Moreover, the expression of a soluble form of MICB was determined in the recipients' serum samples after transplantation using the Luminex assay. Our results revealed a favorable role of the MICB rs1065075 G allele. Recipients with donors carrying this genetic variant were less prone to developing chronic graft-versus-host disease (cGvHD) when compared to recipients without any symptoms of this disease (41.41% vs. 65.38%, p = 0.046). Moreover, the MICB rs1065075 G allele was associated with a lower incidence of cytomegalovirus (CMV) reactivation, both as a donor (p = 0.015) and as a recipient allele (p = 0.039). The MICB rs1065075 G variant was also found to be associated with decreased serum soluble MICB (sMICB) levels, whereas serum sMICB levels were significantly higher in recipients diagnosed with CMV infection (p = 0.0386) and cGvHD (p = 0.0008) compared to recipients without those complications. A protective role of the G allele was also observed for the rs3828903 polymorphism, as it was more frequently detected among donors of recipients without cGvHD (89.90% vs. 69.23%; p = 0.013). MICB genetic variants, as well as serum levels of sMICB, may serve as prognostic factors for the risk of developing cGvHD and CMV infection after allogeneic HSCT.

A Quest for New Cancer Diagnosis, Prognosis and Prediction Biomarkers and Their Use in Biosensors Development

Traditional techniques for cancer diagnosis, such as nuclear magnetic resonance, ultrasound and tissue analysis, require sophisticated devices and highly trained personnel, which are characterized by elevated operation costs. The use of biomarkers has emerged as an alternative for cancer diagnosis, prognosis and prediction because their measurement in tissues or fluids, such as blood, urine or saliva, is characterized by shorter processing times. However, the biomarkers used currently, and the techniques used for their measurement, including ELISA, western-blot, polymerase chain reaction (PCR) or immunohistochemistry, possess low sensitivity and specificity. Therefore, the search for new proteomic, genomic or immunological biomarkers and the development of new noninvasive, easier and cheaper techniques that meet the sensitivity and specificity criteria for the diagnosis, prognosis and prediction of this disease has become a relevant topic. The purpose of this review is to provide an overview about the search for new cancer biomarkers, including the strategies that must be followed to identify them, as well as presenting the latest advances in the development of biosensors that possess a high potential for cancer diagnosis, prognosis and prediction, mainly focusing on their relevance in lung, prostate and breast cancers.