ABSTRACT
BACKGROUND: Ductal carcinoma in situ is a non-obligate precursor of invasive breast carcinoma and presents a potential risk of over or undertreatment. Finding molecular biomarkers of disease progression could allow for more adequate patient treatment. We aimed to identify potential biomarkers that can predict invasiveness risk. METHODS: In this epithelial cell-based study archival formalin-fixed paraffin-embedded blocks from six patients diagnosed with invasive lesions (pure invasive ductal carcinoma), six with in-situ lesions (pure ductal carcinoma in situ), six with synchronous lesions (invasive ductal carcinoma with an in-situ component) and three non-neoplastic breast epithelium tissues were analyzed by gene expression profiling of 770 genes, using the nCounter® PanCancer Pathways panel of NanoString Technologies. RESULTS: The results showed that in comparison with non-neoplastic tissue the pure ductal carcinoma in situ was one with the most altered gene expression profile. Comparing pure ductal carcinoma in situ and in-situ component six differentially expressed genes were found, three of them (FGF2, GAS1, and SFRP1), play a role in cell invasiveness. Importantly, these genes were also differentially expressed between invasive and noninvasive groups and were negatively regulated in later stages of carcinogenesis. CONCLUSIONS: We propose these three genes (FGF2, GAS1, and SFRP1) as potential biomarkers of ductal carcinoma in situ progression, suggesting that their downregulation may be involved in the transition of stationary to migrating invasive epithelial cells.
Subject(s)
Biomarkers, Tumor , Carcinoma, Ductal, Breast/diagnosis , Carcinoma, Intraductal, Noninfiltrating/diagnosis , Aged , Aged, 80 and over , Carcinoma, Ductal, Breast/genetics , Carcinoma, Ductal, Breast/metabolism , Carcinoma, Intraductal, Noninfiltrating/genetics , Carcinoma, Intraductal, Noninfiltrating/metabolism , Computational Biology , Disease Progression , Disease Susceptibility , Female , Gene Expression Profiling , Humans , Middle Aged , Neoplasm Grading , Neoplasm Staging , Protein Interaction Mapping , Protein Interaction Maps , TranscriptomeABSTRACT
A artrite reumatóide é uma doença inflamatória sistêmica crônica que se caracteriza por acometimento das articulações diartrodiais e, com frequência, outros órgãos. Entre as manifestações extra-articulares é importante destacar os acometimentos cardíaco, pulmonar, dermatológico e neurológico. A mononeurite múltipla é uma das manifestações neurológicas da artrite reumatóide e ocorre como consequência de uma vasculite reumatóide. O objetivo deste estudo foi apresentar um caso de paciente com artrite reumatóide com boa evolução após o tratamento
