Esther Llop

Recombinant erythropoietin and analogues: a challenge for doping control.

Abstract: Erythropoietin (EPO) increases the number of circulating erythrocytes and thus muscle oxygenation. The availability of the recombinant protein (rEPO) has increased the risk of its illegal use in sports, its detection being a difficult challenge. Five different hematopoietic parameters were initially chosen as indirect markers of rEPO abuse: concentration of serum EPO, concentration of serum-soluble transferrin receptors (sTFr), hematocrit, percentage of reticulocytes, and percentage of macrocytes. New models considering only hemoglobin, serum EPO concentration, and percentage of reticulocytes are simpler and seem to be more sensitive when low doses of rEPO are used. A more direct method of urine analysis (isoelectrofocusing, double blotting, and chemiluminescent detection) based on the charge differences between rEPO and endogenous EPO, related to their carbohydrate composition, provides proof of rEPO use. Furthermore, this approach permits the detection of darbepoetin, a direct analogue of EPO also known as NESP (“new erythropoiesis stimulating protein”). Recently a protein conjugate, “synthetic erythropoiesis protein” (SEP), containing precision-length, monodisperse, negatively charged polymers instead of oligosaccharides has been synthesized. Finally, EPO-mimetics are molecules capable of acting as EPO in dimerizing the EPO receptor. Two kinds of EPO-mimetics have been described: peptides and nonpeptides. The enhancement of oxygen availability to muscles by rEPO, analogues, and mimetics constitutes one of the main challenges to doping control. Major steps have already been developed for detection of rEPO and some analogues. In the near future, the transfection to an athlete’s body of genes that code for erythropoietin might be an emerging doping issue, and sports authorities have incorporated “gene doping” among the prohibited practices.

α2,3-Sialyltransferase ST3Gal IV promotes migration and metastasis in pancreatic adenocarcinoma cells and tends to be highly expressed in pancreatic adenocarcinoma tissues.

Sialyltransferases have received much attention recently as they are frequently up-regulated in cancer cells. However, the role played by each sialyltransferase in tumour progression is still unknown. α2,3-Sialyltransferases ST3Gal III and ST3Gal IV are involved in sialyl-Lewis(x) (SLe(x)) synthesis. Given that the role of ST3Gal III in pancreatic adenocarcinoma cells has been previously reported, in this study we have focused on investigating the role of ST3Gal IV in the acquisition of adhesive, migratory and metastatic capabilities and, secondly, in analyzing the expression of ST3Gal III and ST3Gal IV in pancreatic adenocarcinoma tissues versus control tissues. ST3Gal IV overexpressing pancreatic adenocarcinoma MDAPanc-28 cell lines were generated. They showed a heterogeneous increase in SLe(x), and enhanced E-selectin adhesion and migration. Furthermore, when injected into nude mice, increased metastasis and decreased survival were found in comparison with controls. The behaviour of MDAPanc-28 ST3Gal IV overexpressing cells in these processes was similar to the already reported MDAPanc-28 ST3Gal III overexpressing cells. Furthermore, pancreatic adenocarcinoma tissues tended to express high levels of ST3Gal III and ST3Gal IV together with other fucosyltransferase genes FUT3 and FUT6, all involved in the last steps of sialyl-Lewis(x) biosynthesis. In conclusion, both α2,3-sialyltransferases are involved in key steps of pancreatic tumour progression processes and are highly expressed in most pancreatic adenocarcinoma tissues.

Improvement of Prostate Cancer Diagnosis by Detecting PSA Glycosylation-Specific Changes

New markers based on PSA isoforms have recently been developed to improve prostate cancer (PCa) diagnosis. However, novel approaches are still required to differentiate aggressive from non-aggressive PCa to improve decision making for patients. PSA glycoforms have been shown to be differentially expressed in PCa. In particular, changes in the extent of core fucosylation and sialylation of PSA N-glycans in PCa patients compared to healthy controls or BPH patients have been reported. The objective of this study was to determine these specific glycan structures in serum PSA to analyze their potential value as markers for discriminating between BPH and PCa of different aggressiveness. In the present work, we have established two methodologies to analyze the core fucosylation and the sialic acid linkage of PSA N-glycans in serum samples from BPH (29) and PCa (44) patients with different degrees of aggressiveness. We detected a significant decrease in the core fucose and an increase in the α2,3-sialic acid percentage of PSA in high-risk PCa that differentiated BPH and low-risk PCa from high-risk PCa patients. In particular, a cut-off value of 0.86 of the PSA core fucose ratio, could distinguish high-risk PCa patients from BPH with 90% sensitivity and 95% specificity, with an AUC of 0.94. In the case of the α2,3-sialic acid percentage of PSA, the cut-off value of 30% discriminated between high-risk PCa and the group of BPH, low-, and intermediate-risk PCa with a sensitivity and specificity of 85.7% and 95.5%, respectively, with an AUC of 0.97. The latter marker exhibited high performance in differentiating between aggressive and non-aggressive PCa and has the potential for translational application in the clinic.

Increased α1-3 fucosylation of α-1-acid glycoprotein (AGP) in pancreatic cancer.

Pancreatic cancer (PDAC) lacks reliable diagnostic biomarkers and the search for new biomarkers represents an important challenge. Previous results looking at a small cohort of patients showed an increase in α-1-acid glycoprotein (AGP) fucosylation in advanced PDAC using N-glycan sequencing. Here, we have analysed AGP glycoforms in a larger cohort using several analytical techniques including mass spectrometry (MS), capillary zone electrophoresis (CZE) and enzyme-linked lectin assays (ELLAs) for determining AGP glycoforms which could be PDAC associated. AGP from 31 serum samples, including healthy controls (HC), chronic pancreatitis (ChrP) and PDAC patients, was purified by immunoaffinity chromatography. Stable isotope labelling of AGP released N-glycans and their analysis by zwitterionic hydrophilic interaction capillary liquid chromatography electrospray MS (μZIC-HILIC-ESI-MS) showed an increase in AGP fucosylated glycoforms in PDAC compared to ChrP and HC. By CZE-UV analysis, relative concentrations of some of the AGP isoforms were found significantly different compared to those in PDAC and HC. Finally, ELLAs using Aleuria aurantia lectin displayed a significant increase in AGP fucosylation, before and after AGP neuraminidase treatment, in advanced PDAC compared to ChrP and HC, respectively. Altogether, these results indicate that α1-3 fucosylated glycoforms of AGP are increased in PDAC and could be potentially regarded as a PDAC biomarker.

Purification of erythropoietin from human plasma samples using an immunoaffinity well plate

A method is described to isolate human erythropoietin (hEPO) from plasma using an EPO-specific immunoaffinity micro well plate (IAP). The operating conditions of the method (binding, blocking and elution) were optimised to avoid isoform discrimination and cross-contamination with other glycoproteins. The overall hEPO recovery was ca. 56% and significant clean-up for plasmatic hEPO was achieved. Polyvinylpyrrolidone (PVP) was used as a blocking reagent and elution took place at pH 11.0. Under these conditions all isoforms from recombinant human EPOs (rhEPOs) and analogues were uniformly recovered guaranteeing lack of discrimination. The resulting procedure allowed isolating erythropoietin from plasma in conditions amenable to hEPO analysis by other techniques such as SDS-PAGE or IEF. Moreover, avoiding contamination with other glycosylated material allowed the identification in human plasma samples of the non-human N-glycolyl-neuraminic acid (Neu5Gc) using HPLC-FLD. Neu5Gc is present as 1-2% of the sialic acid content in rhEPO so this approach could be used to unequivocally detect abuse of rhEPOs or analogues as part of the doping control.

Comparative Study of Blood-Based Biomarkers, α2,3-Sialic Acid PSA and PHI, for High-Risk Prostate Cancer Detection

Prostate Specific Antigen (PSA) is the most commonly used serum marker for prostate cancer (PCa), although it is not specific and sensitive enough to allow the differential diagnosis of the more aggressive tumors. For that, new diagnostic methods are being developed, such as PCA-3, PSA isoforms that have resulted in the 4K score or the Prostate Health Index (PHI), and PSA glycoforms. In the present study, we have compared the PHI with our recently developed PSA glycoform assay, based on the determination of the α2,3-sialic acid percentage of serum PSA (% α2,3-SA), in a cohort of 79 patients, which include 50 PCa of different grades and 29 benign prostate hyperplasia (BPH) patients. The % α2,3-SA could distinguish high-risk PCa patients from the rest of patients better than the PHI (area under the curve (AUC) of 0.971 vs. 0.840), although the PHI correlated better with the Gleason score than the % α2,3-SA. The combination of both markers increased the AUC up to 0.985 resulting in 100% sensitivity and 94.7% specificity to differentiate high-risk PCa from the other low and intermediate-risk PCa and BPH patients. These results suggest that both serum markers complement each other and offer an improved diagnostic tool to identify high-risk PCa, which is an important requirement for guiding treatment decisions.

Glycoprotein biomarkers for the detection of pancreatic ductal adenocarcinoma

Pancreatic cancer (PaC) shows a clear tendency to increase in the next years and therefore represents an important health and social challenge. Currently, there is an important need to find biomarkers for PaC early detection because the existing ones are not useful for that purpose. Recent studies have indicated that there is a large window of time for PaC early detection, which opens the possibility to find early biomarkers that could greatly improve the dismal prognosis of this tumor. The present manuscript reviews the state of the art of the existing PaC biomarkers. It focuses on the anomalous glycosylation process and its role in PaC. Glycan structures of glycoconjugates such as glycoproteins are modified in tumors and these modifications can be detected in biological fluids of the cancer patients. Several studies have found serum glycoproteins with altered glycan chains in PaC patients, but they have not shown enough specificity for PaC. To find more specific cancer glycoproteins we propose to analyze the glycan moieties of a battery of glycoproteins that have been reported to increase in PaC tissues and that can also be found in serum. The combination of these new candidate glycoproteins with their aberrant glycosylation together with the existing biomarkers could result in a panel, which would expect to give better results as a new tool for early diagnosis of PaC and to monitor the disease.

Analysis of sialyl-Lewis x on MUC5AC and MUC1 mucins in pancreatic cancer tissues

Pancreatic adenocarcinoma (PDAC) lacks efficient biomarkers. Mucins are glycoproteins that can carry aberrant glycosylation in cancer. Our objective was to identify cancer-related glycan epitopes on MUC1 and MUC5AC mucins in PDAC as potential biomarkers. We have analysed the tumour-associated carbohydrate antigens sialyl-Lewis x (SLex) and sialyl-Tn (STn) on MUC1 and MUC5AC in PDAC tissues. The selected cohort for this study consisted of twenty-one PDAC tissues positive for SLex antigen and three normal pancreas specimens as controls. STn expression was shown in 76% of the PDAC tissues. MUC1 and MUC5AC were detected in 90% of PDAC tissues. We performed in situ proximity ligation assay combining antibodies against mucins and glycan epitopes to identify specific mucin glycoforms. MUC1-SLex and MUC5AC-SLex were found in 68% and 84% respectively, of the mucin expressing PDAC tissues, while STn hardly colocalized with any of the evaluated mucins. Further analysis by Western blot of MUC5AC and SLex in eight PDAC tissue lysates showed that six out of eight cases were positive for both markers. Moreover, immunoprecipitation of MUC5AC from positive PDAC tissues and subsequent SLex immunodetection confirmed the presence of SLex on MUC5AC. Altogether, MUC5AC-SLex glycoform is present in PDAC and can be regarded as potential biomarker.

PO-368 Epigenetic regulation of glycosylation and the impact on chemoresistance in ovarian and breast cancer

Introduction Glycosylation is epigenetically regulated and is a fundamental post-translational modification altered in cancer. These alterations impact on tumour progression, and promote tumour survival. In the literature, there is a clear link between chemoresistance and hypoxia, hypoxia and epigenetics and more recently glycosylation and epigenetics. Our remit is to bring these paradigms together, to open up new avenues of approach for the detection, diagnosis and treatment of ovarian and breast cancer. Material and methods Ovarian and breast cancer cells were treated with the DNA methyltransferase inhibitor, 5-AZA-2-deoxycytidine (5-AZA-dC). Cells were exposed to normoxia and differential hypoxic conditions. Methylation status of hypoxia-exposed cells and the normoxia-controls as well as demethylation following 5-AZA-dC treatment was confirmed by flow cytometry. N-glycans from cell secreted glycoproteins were analysed using hydrophilic interaction liquid chromatography (HILIC) and mass spectrometry. Western blot analyses assessed apoptosis, senescence, autophagy and epithelial to mesenchymal transition (EMT). The Oris Migration Assay monitored the cell migration, while qRTPCR measured candidate glycosyltransferases and transcription factor (TFs) gene expression in these samples. Results and discussions Branching and sialylation known to aid in tumour survival, were increased on secreted N-glycans from chemosensitive cells compared to chemoresistant cells following treatment with 5-AZA-dC and in all cells under hypoxic conditions. These changes correlated with increases in MGAT5 and ST3GAL4 expression in demethylated ovarian cancer cells. GATA2/3 were identified in-silico, as possible TFs for these genes. Results show that there is a correlation between, ST3GAL4 and GATA2 and MGAT5 and GATA3, respectively. 5-AZA-dC-treated and hypoxia-exposed cells displayed increased migration, with a greater effect in chemosensitive demethylated- and 0.5% hypoxia-exposed cells compared to chemoresistant cells. Apoptotic and senescence markers were increased in 5-AZA-dC treated cells. Conclusion These results give insight into the effects epigenetic alterations have on cancer cell glycosylation and how these may impact on the overall fate of those cells. The GATA2/3 TFs are linked to cancer stage, increased invasiveness and are possible therapeutic targets. Our data show a correlation between GATA2/3 and the levels of glycosyltransferases involved in branching and sialylation which are involved in cancer cell survival and metastases.

Comparative analysis of prostate-specific antigen by two-dimensional gel electrophoresis and capillary electrophoresis.

Serum levels of Prostate‐Specific Antigen (PSA) are not fully specific for prostate cancer (PCa) diagnosis and several efforts are focused on searching to improve PCa markers through the study of PSA subforms that could be cancer associated. We have previously reported by 2DE a decrease in the sialic acid content of PSA from PCa compared to benign prostatic hyperplasia patients based on the different proportion of the PSA spots. However, faster and more quantitative techniques, easier to automate than 2DE, are desirable. In this study, we examined the potential of CE for resolving PSA subforms in different samples and compared the results with those obtained by 2DE. We first fractionated by OFFGEL the subforms of PSA from seminal plasma according to their pIs and analyzed each separated fraction by 2DE and CE. We also analyzed PSA and high pI PSA, both from seminal plasma, and PSA from urine of a PCa patient. These samples with different PSA spots proportions by 2DE, due to different posttranslational modifications, also presented different CE profiles. This study shows that CE is a useful and complementary technique to 2DE for analyzing samples with different PSA subforms, which is of high clinical interest.