Genetic predisposition to breast cancer (BC) has been extensively explored to achieve an enhanced understanding of the biology of BC. Targeting candidate genes to screen different genetic variants such as RAD51gene that plays a critical role in DNA repair pathways including the double-strand break repair system is an important task. To study several single nucleotide polymorphisms (SNPs) within RAD51-UTR gene and to find their relationship with BC risk and prognosis among Jordanian females. In this case-control study, DNA sequencing technique was used to screen SNPs within the untranslated region (UTR) of RAD51in 206cases and 185controls and the resulting data were statistically analyzed using different types of genetic analyses. Patients' clinical and pathological features were obtained from their medical records to perform genotype-phenotype association analysis. Our findings show a significant association between both SNPs rs528590644, rs1801320and BC risk (p=0.016). We estimated the correlation between many of BC prognostic factors and BC risk, and we found an association between rs1801321and age at first menstruation (p=0.032) in addition to a strong correlation between age at BC diagnosis and rs1801320 (p=0.008). RAD51-UTR polymorphisms may be involved in BC development and progression.RAD51-UTR polymorphisms may be involved in BC development and progression. Renal cell carcinoma (RCC) is one of the most common solid tumors in adults highly resistant to conventional therapies. The expression profile of a number of miRNAs correlates with RCC response to chemotherapeutic agents. To identify the association of tumor miRNAs expression with neoadjuvant treatment response in patients with RCC. We analyzed the expression levels of tumor miR-99b, -144, -155, -210, -222, -302а, -377in 93RCC patients who received pazopanib or sunitinib in neoadjuvant regimen using RT-PCR. RNU48was used as a reference miRNA. The levels of expression of miR-99b and -377are associated with the RCC response to pazopanib, and microRNA-210and -377to sunitinib. The characteristic expression profile of miR-99b, -144, -222, -377, and miR-302a determined in 90% of cases was delineated in pazopanib responders as opposed to nonresponders. Similarly, the characteristic expression profile of miR-210, -222, -302aand -377was suggested for sunitinib responders. Levels of miR-99b, -210and -377expression in RCC tumor tissue might be used as a basis for future predictive panel intended for the assessment of the sensitivity to the regimens of neoadjuvant RCC treatment.Levels of miR-99b, -210 and -377 expression in RCC tumor tissue might be used as a basis for future predictive panel intended for the assessment of the sensitivity to the regimens of neoadjuvant RCC treatment.For more than 35 years after Chornobyl catastrophe, about 5 million people in Ukraine, Republic of Belarus and Russian Federation inhabit the territories that are residually contaminated with long-lived radionuclides such as 137Cs, 90Sr. The previous studies of the Reference Laboratory operating at RE Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology allowed specifying the effects of the protracted low dose irradiation on the state of the hematopoietic and lymphoid tissues resulting in the increased proportion of the B-cell chronic lymphocytic leukemia/small lymphocytic lymphoma and acute myeloid leukemia among the patients referred from the contaminated areas of Ukraine. Since the beginning of 2020, these effects of radiation were superimposed by the factors associated with COVID-19 pandemic. SARS-CoV-2 infection is associated with the significant impact on hematopoiesis and immune system. Particular attention should be given to the role of such combined burden in the development of the immunodeficiency-associated lymphoid neoplasms. The extensive studies of the combined effects of low dose irradiation and COVID-19 within the large affected populations could be made a priority in future endeavors of epidemiologists and oncohematologists. To ascertain the level of psychological distress, using validated psychology tools, among British National healthcare workers (HCW) during the first wave of the Covid-19 crisis. A multi-centre, anonymized, all-comer staff survey across 3 hospitals in Lancashire, England during the Covid-19 first wave (April to June 2020), consisting of Patient Health Questionnaire (PHQ-9), Perceived Stress Scale-10 (PSS-10), Generalized Anxiety Disorder-7 (GAD-7), and Impact of Events Scale (IES-6). Among 1113 HCW, median (IQR) PHQ-9, GAD-7, PSS-10, and IES-6 score was 7 (3 to 11), 6 (3 to 11), 19 (13 to 24), and 9 (5 to 14), respectively. Potential predictors of higher levels of psychological distress included living alone, disabled dependents, history of depression/anxiety, and being female. The study indicates a high prevalence of psychological distress during the acute Covid-19 period among HCW, identifies groups at risk and areas of future research.The study indicates a high prevalence of psychological distress during the acute Covid-19 period among HCW, identifies groups at risk and areas of future research.Aim To investigate the relationship between preoperative level of serum albumin in patients with colorectal cancer (CRC), stage of CRC and postoperative complications. Methods This cross-sectional retrospective study was conducted at the Clinic for General and Abdominal Surgery of the University Clinical Centre Sarajevo (UCCS). A total of 107 patients surgically treated for CRC in the period between 2013 and 2018 were enrolled in this study and divided into two groups with hypoalbuminemia (group A) and without hypoalbuminemia (group B). Results The average level of albumin in group A was 29 (25-32) g/L versus 39 (37-41) g/L in group B (p0.05). selleck inhibitor Conclusion Study results show that preoperatively measured levels of serum albumin are not associated with the stage of colorectal cancer and cannot serve as predictors for postoperative complications.Aim To identify predictive factors related with noninvasive ventilation (NIV) failure that are not based on the patient's respiratory status or acid base gas analyses in COVID-19 critically ill patients, and to create a predictive model of NIV failure. Methods A total of 73 COVID-19 critically ill patients who developed acute respiratory failure and underwent NIV were divided into two groups Group 1, patients who required endotracheal intubation and invasive mechanical ventilation after NIV and Group 2, patients with successful weaning from NIV. Demographic data, clinical symptoms and signs, clinical index and scores, duration indicators and laboratory data were analysed. Predictive factors of NIV failure were assessed using univariate and multivariate regression analyses followed by the receiver operating characteristic (ROC) curve. Results In the Group 1 (NIV failure) there were 54 (73.97%) patients. Predictive factors for NIV failure were the presence of dyspnoea on the day of admission at hospital (p less then 0.