Detection of somatic mutations in ctDNA derived from adenocarcinoma patients - EGFR tyrosine kinase inhibitor monitoring preliminary study.

Aim Of The Study: The main purpose of this study was to assess detection of mutations in the epidermal growth factor receptor (EGFR) gene in circulating tumor DNA (ctDNA) as a tool for EGFR tyrosine kinase inhibitor (TKI) monitoring therapy.

Material And Methods: The study was conducted using 20 samples from 7 adenocarcinoma patients treated with TKIs. Blood samples for ctDNA analysis were collected in 2015-2016.

Prognostic and Predictive Epigenetic Biomarkers in Oncology.

Epigenetic patterns, such as DNA methylation, histone modifications, and non-coding RNAs, can be both driver factors and characteristic features of certain malignancies. Aberrant DNA methylation can lead to silencing of crucial tumor suppressor genes or upregulation of oncogene expression. Histone modifications and chromatin spatial organization, which affect transcription, regulation of gene expression, DNA repair, and replication, have been associated with multiple tumors.

Influence of Mesenchymal Stem Cells Conditioned Media on Proliferation of Urinary Tract Cancer Cell Lines and Their Sensitivity to Ciprofloxacin.

Mesenchymal stem cells (MSCs) are known to interact with cancer cells through direct cell-to-cell contact and secretion of paracrine factors, although their exact influence on tumor progression in vivo remains unclear. To better understand how fetal and adult stem cells affect tumors, we analyzed viability of human renal (786-0) and bladder (T24) carcinoma cell lines cultured in conditioned media harvested from amniotic fluid-derived stem cells (AFSCs) and adipose-derived stem cells (ASCs). Both media reduced metabolic activity of 786-0 cells, however, decreased viability of T24 cells was noted only after incubation with conditioned medium from ASCs.

Prognostic and predictive biomarkers: tools in personalized oncology.

Oncology indispensably leads us to personalized medicine, which allows an individual approach to be taken with each patient. Personalized oncology is based on pharmacogenomics and the effect of genetic differences in individuals (germline and somatic) on the way cancer patients respond to chemotherapeutics. Biomarkers detected using molecular biology tools allow the molecular characterization of cancer signatures and provide information relevant for personalized treatment.