https://www.selleckchem.com/products/n-nitroso-n-methylurea.html in planning target volume (PTV) coverage and OAR doses, but VMAT had less number of monitor units and shorter treatment time. Of all breast cancers, triple-negative and HER-2 positive are the most aggressive breast cancer subtypes with a high risk of recurrence and worse prognosis. The study's purpose was to further assess the molecular mechanisms underlying aggression of breast cancer. The microarray gene expression datasets of GSE29431 and GSE53752 were obtained from the GEO (Gene Expression Omnibus) database, which include HER-2 positive breast cancer, triple-negative breast cancer (TNBC) and normal breast tissue samples. Differentially expressed genes (DEGs) were determined using the LIMMA package of R software and subsequently functional enrichment analysis were performed by the ClusterProfiler package in the R platform. The STRING database was used to construct a protein-protein interaction (PPI) network. The most significant module and key genes were identified by Cytoscape software. Utilizing the Kaplan-Meier plotter and UALCAN database, we defined the key genes associated with prognotic values and molecular subtypes as nes promoted the individualized and comprehensive treatment. Aberrant DNA methylation in promoter regions has been found in many cancers, including breast cancer (BC). A Methylation Specific PCR (MSP) was applied in breast Fine Needle Aspiration Biopsy (FNAB) material, which has been rarely used in the literature, to estimate the methylation frequencies of CND2, APC, HIN1 & CDH13 and to assess whether this multiplex methylation panel can be possibly used as an indicator-biomarker for BC detection in a Greek population. A total of 104 participants were subjected to FNAB and both cytological evaluation and epigenetic analysis were carried out. DNA was extracted from FNAB samples and was subjected to bisulfite conversion. MSP was carried out with primers specific for either the met