Background
Conventionally, breast cancer (BC) prognosis and prediction of response to therapy are based on TNM staging, histological and molecular subtype, as well as genetic alterations. The role of various epigenetic factors has been elucidated in carcinogenesis. However, it is still unknown to what extent miRNAs affect the response to neoadjuvant chemotherapy (NACT). This pilot study is focused on evaluating the role of miR-34a, miR-124a, miR-155, miR-137 and miR-373 in response to NACT.
Methods
That was a prospective study enrolling 34 patients with histologically confirmed BC of II-III stages. The median age of patients was 53 (47–59.8) years old, 70.6% of whom were HR-positive. MiRs levels were measured in the primary tumor before and after NACT. The response to therapy was assessed after surgery using the Miller-Payne scoring system. To establish the role of miRs in modulating response to NACT the Cox model was applied for analysis.
Results
BC demonstrated a great variability of miRs expression before and after NACT with no strong links to tumor stage and molecular subtype. Only miR-124a and miR-373 demonstrated differential expression between malignant and normal breast tissues before and after therapy though these distinctions did not impact response to NACT. Besides miR-124a and miR-137 levels after NACT were found to be dependent on HR status. While miR-124a levels increased (p = 0.021) in the tumor tissue, the expression of miR-137 was downregulated (p = 0.041) after NACT in HR positive BC.
Conclusions
The study revealed differences in miR-124a and miR-373 expression after NACT in primary BC tissues. Although miRs levels did not impact the response to NACT, we found miR-124a and miR-137 levels to be related to hormonal sensitivity of BC.
The article considers the possibility of introducing ergonomic indicators of the workplace into the system of lean production of the machine-building enterprise. The feasibility of taking into account ergonomic indicators is proved by the main tool of lean production - mapping of the flow of creation of production of the “shaft” part. Studies have shown that the accounting of ergonomic indicators allows to identify losses related to psychophysical factors affecting the employee, environmental factors of the employee (including production equipment) and eliminate them by planning and developing appropriate measures.
Technological processes complication leads to increase of accidents scale, this negatively affects people, environment and enterprise. In this regard, there is a need for good risk management, taking into account real state of a hazardous production facility. In this paperwork, is analyzed application of hazard analysis method “Tree of consequences”. The method is widely used for industrial safety of oil and gas facilities. The paper also provides an overview of some software systems that allow to visualize steps of risks analysis and to minimize calculation process based on 3D modeling. In oil and gas industry the FLACS software tool is used to simulate most well-known ignition and toxic emission scenarios in terrestrial conditions. It is possible to assess effect of hazardous or harmful substances on production facility in domestic TOXI-Risk software package. Phast Lite program is used to simulate consequences of accidents with ability to create danger in entire sequence of events from accident itself to damage. In addition, the article defines digital twin concept. The digital twin provides constant interaction and data exchange with a real object. This technology is promising for production management, for maintenance and for accidents prevention.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.