Revealing molecular mechanisms of early-onset tongue cancer by spatial transcriptomics.

Tongue cancer at a young age demonstrates an increase in incidence, aggressiveness, and poor response to therapy. Classic etiological factors for head and neck tumors such as tobacco, alcohol, and human papillomavirus are not related to early-onset tongue cancer. Mechanisms of development and progression of this cancer remain unclear.

Molecular and biological factors in the prognosis of head and neck squamous cell cancer.

The objective of the review is to summarize available literary data on the role and prognostic value of molecular biological markers p53, UBE2C, CD147, STAT3, VEGF in the carcinogenesis of head and neck squamous cell carcinoma (HNSCC). To date, researches have been studying HNSCC molecular and genetic characteristics and obtaining information about new molecular biological markers that have different functional significance in tumor progression. This review presents current data on protein molecules involved in the HNSCC development, as well as in the formation of drug resistance mechanisms in tumors.

Surface Modification of Additively Fabricated Titanium-Based Implants by Means of Bioactive Micro-Arc Oxidation Coatings for Bone Replacement.

In this work, the micro-arc oxidation method is used to fabricate surface-modified complex-structured titanium implant coatings to improve biocompatibility. Depending on the utilized electrolyte solution and micro-arc oxidation process parameters, three different types of coatings (one of them-oxide, another two-calcium phosphates) were obtained, differing in their coating thickness, crystallite phase composition and, thus, with a significantly different biocompatibility. An analytical approach based on X-ray computed tomography utilizing software-aided coating recognition is employed in this work to reveal their structural uniformity.

Non-Invasive Diagnosis of Malignancies Based on the Analysis of Markers in Exhaled Air.

Novel non-invasive methods for the diagnosis of malignancies should be effective for early diagnosis, reproducible, inexpensive, and independent from the human factor. Our aim was to establish the applicability of the non-invasive method, based on the analysis of air exhaled by patients who are at different stages of oropharyngeal, larynx and lung cancer. The diagnostic device includes semiconductor sensors capable of measuring the concentrations of gas components in exhaled air, with the high sensitivity of 1 ppm.

Cancer Diagnosis by Neural Network Analysis of Data from Semiconductor Sensors.

"Electronic nose" technology, including technical and software tools to analyze gas mixtures, is promising regarding the diagnosis of malignant neoplasms. This paper presents the research results of breath samples analysis from 59 people, including patients with a confirmed diagnosis of respiratory tract cancer. The research was carried out using a gas analytical system including a sampling device with 14 metal oxide sensors and a computer for data analysis.