MicroRNA-130b Is a Unique Autophagy-Related Epigenetic Predictor of FLOT-Chemotherapy in Gastric Cancers.

Introduction: Liquid biopsies have great potential for precision medicine as they provide information about primary and metastatic tumors using minimally invasive techniques. MicroRNAs (miRNAs) are promising biomarkers for detecting gastric cancer (GC). The aim of the study was to identify miR molecules associated with autophagy in gastric cancer (GC) cells, determine their expression levels in GC and FLOT-treated patients, and assess the efficacy of FLOT therapy in GC patients.

New Perspectives in Colorectal Cancers Treatment, the Role of MicroRNAs.

The main epidemiological and clinical data on colorectal cancer, as well as the features of molecular pathology, are discussed in the literature review. Efforts are being putto identify promising targets, particularly small non-coding nucleotide sequences, which can lead to new treatments for this disease. The discovery of significant mutations that contribute to the development of colorectal tumors is a major step in the advancement of molecular oncology, as these mutations give rise to heterogeneous tumors that differ in their origin.

Targeted Sequencing in Gastric Cancer: Association with Tumor Molecular Characteristics and FLOT Therapy Effectiveness.

Heterogeneity of gastric cancer (GC) is the main trigger of the disease's relapse. The aim of this study was to investigate the connections between targeted genes, cancer clinical features, and the effectiveness of FLOT chemotherapy. Twenty-one patients with gastric cancers (GCs) were included in this study.

Neuroinflammation in Obese Children.

Obesity is associated with chronic persistent inflammation due to a pool of tissue macrophages that can penetrate the blood-brain barrier and cause neuroinflammation. The analysis of the association of CD14CD163 monocytes in the peripheral blood with cognitive functions in 56 obese children (mean age 11.95 (9.

Crucial Role of microRNAs as New Targets for Amelogenesis Disorders Detection.

Introduction: Amelogenesis imperfecta (AI) refers to a heterogeneous group of conditions with multiple factors which contribute to the hypomineralisation of enamel. Preventive measures are necessary to predict this pathology. Prospects for preventive medicine are closely related to the search for new informative methods for diagnosing a human disease.