ABSTRACT
Glycans play a fundamental role in several biological processes, such as cell-cell adhesion, signaling, and recognition. Similarly, abnormal glycosylation is involved in many pathological processes, among which include tumor growth and progression. Several highly glycosylated proteins found in blood are currently used in clinical practice as cancer biomarkers (e.g., CA125, PSA, and CA19-9). The development of novel non-invasive diagnostic procedures would greatly simplify the screening and discovery of pathologies at an early stage, thus also allowing for simpler treatment and a higher success rate. In this observational study carried out on 68 subjects diagnosed with either breast or lung cancer and 34 healthy volunteers, we hydrolyzed the glycoproteins in saliva and quantified the obtained free sugars (fucose, mannose, galactose, glucosamine, and galactosamine) by using high-performance anion-exchange chromatography with pulsed-amperometric detection (HPAEC-PAD). The glycosidic profiles were compared by using multivariate statistical analysis, showing differential glycosylation patterns among the three categories. Furthermore, Receiver Operating Characteristics (ROC) analysis allowed obtaining a reliable and minimally invasive protocol able to discriminate between healthy and pathological subjects.
ABSTRACT
Protein biomarkers are important diagnostic tools for cancer and several other diseases. To be validated in a clinical context, a biomarker should satisfy some requirements including the ability to provide reliable information on a pathological state by measuring its expression levels. In parallel, the development of an approach capable of detecting biomarkers with high sensitivity and specificity would be ideally suited for clinical applications. Here, we performed an immune-based label free assay using Surface Plasmon Resonance (SPR)-based detection of the soluble form of E-cadherin, a cell-cell contact protein that is involved in the maintaining of tissue integrity. With this approach, we obtained a specific and quantitative detection of E-cadherin from a few hundred microliters of serum of breast cancer patients by obtaining a 10-fold enhancement in the detection limit over a traditional colorimetric ELISA.
Subject(s)
Antigens, CD/metabolism , Biomarkers, Tumor/metabolism , Biosensing Techniques , Breast Neoplasms/diagnosis , Cadherins/metabolism , Immunoassay , Surface Plasmon Resonance , Breast Neoplasms/immunology , Breast Neoplasms/metabolism , Female , Humans , Limit of Detection , Tumor Cells, CulturedABSTRACT
Autoimmune endocrinopathies are characterised by an increased number of peripheral blood lymphocytes (PBL) expressing activation/ memory markers on their surface. The aim of this study was to determine whether a similar finding could be detected in a group of 11 paediatric and young adult patients suffering from autoimmune polyglandular syndrome type 1 (APS1), also called autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy (APECED), as very few data have previously been reported in this field. The control group was made up of 11 sex- and age-matched healthy subjects. Fifteen lymphocyte subsets were compared, in terms of percentage and absolute number, and statistical analysis was performed by the Mann-Whitney test. Measurement of T (CD3+), B (CD19+), natural killer (NK, CD3-CD16/56+), CD4+ and CD8+ T lymphocytes showed that patients with APS1 had a higher percentage and absolute count of T lymphocytes: this was entirely due to the statistically larger CD3+CD4+ fraction. Patients with APS1 also had slightly fewer B and NK lymphocytes, but the difference was negligible. Comparison of CD4+ subpopulations bearing activation and naive/memory antigens (marked by CD69, CD25, anti-HLA-DR, CD45RA and CD45RO) showed that patients with APS1 had generally larger percentages and absolute counts of these subsets: however, only the percentage and absolute size of the CD4+CD25+ subset (p = 0.0354 and p = 0.0151, respectively), and the absolute number of the CD4+ anti-HLA-DR+ and CD4+ CD45RO+ subsets (p = 0.0193 and p = 0.0209, respectively) were significantly higher. Interestingly, patients with APS1 also had significantly fewer CD8+CD11b+ and CD3-CD8+ cells. In conclusion, PBL distribution in APS1 resembles that of other autoimmune diseases. Further studies are needed to confirm and possibly extend these data.
