ABSTRACT
Osteopontin is a glycophosphoprotein implicated in different physiologic and pathologic processes and is known to be involved in progression and metastasis of various cancers in humans, but this relation is still little explored in the veterinary. The aim was to evaluate the expression of osteopontin in canine mammary carcinomas and its relation with well-established canine mammary tumor biomarkers. For that, expression of OPN, EGFR, HER2, and c-Kit were evaluated along with Ki67 rate in 43 mammary carcinomas. Osteopontin was demonstrated to be expressed by neoplastic epithelial cells in all carcinomas as well as in stromal cells from the tumor microenvironment. Relation between high osteopontin expression and EGFR positivity (P<0.001) and HER2 overexpression (P=0.012) was demonstrated. In conclusion, high OPN expression seems to be related to poor prognosis and MAPK pathway activation, given the association with EGFR and HER2, members of the MAPK signaling pathway.(AU)
A osteopontina é uma glicofosfoproteina implicada em diferentes processos fisiológicos e patológicos, sendo conhecida por estar envolvida na progressão e metástase de vários cânceres nos humanos, no entanto, essa relação é ainda pouco explorada na veterinária. O objetivo deste trabalho foi avaliar a expressão da osteopontina nos carcinomas mamários caninos e sua relação com biomarcadores bem estabelecidos para esta neoplasia. Para isto, foi avaliada a expressão de OPN, EGRH, HER2 e c-Kit juntamente com a taxa de Ki67 em 43 carcinomas mamários. A osteopontina foi expressa pelas células epiteliais neoplásicas em todos os carcinomas, assim como, nas células estromais do microambiente tumoral. Foi demonstrada uma relação entre uma alta expressão de osteopontina e positividade para EGFR (P<0.001) e superexpressão de HER2 (P=0.012). Em conclusão, alta expressão de OPN parece estar relacionada com mau prognóstico e ativação da via MAPK, devido a sua associação com EGRF e HER2, os quais são membros desta via de sinalização.(AU)
Subject(s)
Animals , Female , Dogs , Carcinoma , Biomarkers , Mammary Neoplasms, Animal , Dog Diseases , Osteopontin , ImmunohistochemistryABSTRACT
Background:The main challenge in type 2 diabetes (T2D) is to detect the regulators of pathogenic events during early stages of disease, as well as prevention and progression follow-up of cardiovascular (CV) complications. DNA methylation and micro-RNAs (miRNAs) are major components of the epigenome, which are involved in the diabetic interactome. This study protocol may contribute to advance our knowledge on molecular basis underlying T2D and its CV complications, as well as provide putative useful prognostic biomarkers.Methods:The perturbation of interactome through micro-RNA and methylome analysis in diabetes endophenotypes: the PIRAMIDE pathogenic clinical study protocol is a cross-sectional research program planned to combine big data and network-based analysis aimed to investigate whether DNA methylation and miRNAs may act as simultaneous regulators of the interactome in T2D patients. Clinical datasets will be aggregate to large-scale DNA methylation, mRNA-Seq, and miRNA-Seq analysis performed both on purified CD4+and CD8+ T cells isolated from 35 T2D patients and 35 sex and age-matched controls. DNA methylome data will be used as input for the weighted human DNA methylation PPI network (WMPN) algorithm. RNA sequencing data will be used as input data for the TargetScan algorithm. The primary endpoint will be to integrate both DNA methylation and miRNA networks to potentially capture which genes are simultaneously modulate by interactions between epigenetic changes. Then,statistical analysis will be performed to correlate these molecular modifications with development of T2D-related CV complications. Conclusions: PIRAMIDE pathogenic clinical study protocol will test the hypothesis that simultaneous interactions between DNA methylation and miRNAs may hit T2D-associated candidate genes and predict the development of T2D-related CV complications.Trial Registration:The ongoing PIRAMIDE pathogenic clinical study protocol has been registered on NIH website (NCT03792607)
ABSTRACT
Not much is known about the roles of long non-coding RNAs (lncRNAs) for chronic kidney disease (CKD). In this study, we included CKD patient cohorts and normal controls as a discovery cohort to identify putative lncRNA biomarkers associated with CKD. We first compared the lncRNA expression profiles of CKD patients with normal controls, and identified differentially expressed lncRNAs and mRNAs. Co-expression network based on the enriched differentially expressed mRNAs and lncRNAs was constructed using WGCNA to identify important modules related to CKD. A lncRNA-miRNA-mRNA pathway network based on the hub lncRNAs and mRNAs, related miRNAs, and overlapping pathways was further constructed to reveal putative biomarkers. A total of 821 significantly differentially expressed mRNAs and lncRNAs were screened between CKD and control samples, which were enriched in nine modules using weighted correlation network analysis (WGCNA), especially brown and yellow modules. Co-expression network based on the enriched differentially expressed mRNAs and lncRNAs in brown and yellow modules uncovered 7 hub lncRNAs and 53 hub mRNAs. A lncRNA-miRNA-mRNA pathway network further revealed that lncRNAs of HCP5 and NOP14-AS1 and genes of CCND2, COL3A1, COL4A1, and RAC2 were significantly correlated with CKD. The lncRNAs of NOP14-AS1 and HCP5 were potential prognostic biomarkers for predicting the risk of CKD.