Serum alpha 1-acid glycoprotein in epithelial ovarian cancer

Serum Levels and Glycosylation Changes of Alpha-1-Acid Glycoprotein According to Severity of Breast Cancer in Korean Women

Elevated serum levels of alpha-1-acid glycoprotein (AGP) are known to be associated with several types of cancer. In addition, some reports have indicated that changes in glycosylation of AGP are associated with cancer progression. However, changes in AGP levels of serum and changes in glycosylation of AGPs in breast cancer have not been specifically studied. In the present study, serum AGP levels in benign (BN) cancer and breast cancer stage I (BC I), BC IIA, BC IIB, and BC III in Korean women were measured using an enzyme-linked immunosorbent assay (ELISA). AGP was purified from individual sera by hot phenol extraction and then subjected to AGP glycosylation analysis. Three types of AGP glycosylation (fucosylation, high-mannose-type and sialylation) were detected using enzyme-linked lectin assays (ELLAs). Serum AGP levels were higher in BC I, BC IIA, BC IIB, and BC III, than in the BN group, and the level in BC I and BC IIA was high enough to be distinguished from BN. Meanwhile, terminal fucosylation and high-mannose-type glycans appeared to be lowest in BC I. The glycosylation levels of BC I provide sensitivity and specificity that make BC I clearly distinguishable from BC IIA, BC IIB, and BC III as well as BN. Therefore, determination of serum AGP or AGP glycosylation level could be useful for detecting the early stages of breast cancer.

Proteomic Discovery of Biomarkers to Predict Prognosis of High-Grade Serous Ovarian Carcinoma

Initial identification of biomarkers predicting the exact prognosis of high-grade serous ovarian carcinoma (HGSOC) is important in precision cancer medicine. This study aimed to investigate prognostic biomarkers of HGSOC through proteomic analysis. We conducted label-free liquid chromatography-mass spectrometry using chemotherapy-naïve, fresh-frozen primary HGSOC specimens, and compared the results between a favorable prognosis group (progression-free survival (PFS) ≥ 18 months, n = 6) and a poor prognosis group (PFS < 18 months, n = 6). Among 658 differentially expressed proteins, 288 proteins were upregulated in the favorable prognosis group and 370 proteins were upregulated in the poor prognosis group. Using hierarchical clustering, we selected α1-antitrypsin (AAT), nuclear factor-κB (NFKB), phosphomevalonate kinase (PMVK), vascular adhesion protein 1 (VAP1), fatty acid-binding protein 4 (FABP4), platelet factor 4 (PF4), apolipoprotein A1 (APOA1), and α1-acid glycoprotein (AGP) for further validation via immunohistochemical (IHC) staining in an independent set of chemotherapy-naïve primary HGSOC samples (n = 107). Survival analyses revealed that high expression of AAT, NFKB, and PMVK were independent biomarkers for favorable PFS. Conversely, high expression of VAP1, FABP4, and PF4 were identified as independent biomarkers for poor PFS. Furthermore, we constructed models predicting the 18-month PFS by combining clinical variables and IHC results. Through leave-one-out cross-validation, the optimal model was based on initial serum CA-125, germline BRCA1/2 mutations, residual tumors after surgery, International Federation of Gynecology and Obstetrics (FIGO) stage, and expression levels of the six proteins. The present results elucidate the proteomic landscape of HGSOC and six protein biomarkers to predict the prognosis of HGSOC.

Elevated alpha1-acid glycoprotein in gastric cancer patients inhibits the anticancer effects of paclitaxel, effects restored by co-administration of erythromycin

Paclitaxel (PTX) which easily elutes into ascites is widely used to treat gastric cancer patients with peritoneal carcinomatosis (PC), but clinical outcomes are suboptimal. Increased concentrations of α1-acid glycoprotein (AGP), an important drug-binding protein, have been reported in the plasma and ascites of cancer patients. This study sought to clarify whether AGP binds to PTX and alters its anticancer effects. AGP concentrations were measured in the serum and ascites of gastric cancer patients with PC and in the serum of healthy volunteers. The in vitro effects of AGP and AGP plus erythromycin (EM) on PTX were evaluated by MTT assays in the gastric cancer cell lines. We also measured AGP concentrations in the ascites of PC model mice and examined the effects of EM plus PTX on PC. The mean AGP concentrations in the serum and ascites of gastric cancer patients with PC were 1524 and 834 μg/mL, respectively, higher than the mean AGP concentration of 650 μg/mL observed in the sera of healthy volunteers. AGP > 400 μg/mL significantly suppressed the cell growth inhibitory effect of PTX in vitro, but the co-administration of EM restored it. Elevated AGP concentrations were observed in the ascites of PC model mice. Administration of PTX alone did not markedly diminish PC, whereas co-administration of PTX and EM significantly reduced PC (p = 0.011). AGP is an important regulatory factor modulating the anticancer activity of intraperitoneal PTX. The co-administration of PTX and EM may be effective in treating gastric cancer patients with PC.

Identification of differentially expressed serum proteins in gastric adenocarcinoma

Gastric adenocarcinoma is an aggressive cancer with poor prognosis. Blood based biomarkers of gastric cancer have the potential to improve diagnosis and monitoring of these tumors. Proteins that show altered levels in the circulation of gastric cancer patients could prove useful as putative biomarkers. We used an iTRAQ-based quantitative proteomic approach to identify proteins that show altered levels in the sera of patients with gastric cancer. Our study resulted in identification of 643 proteins, of which 48 proteins showed increased levels and 11 proteins showed decreased levels in serum from gastric cancer patients compared to age and sex matched healthy controls. Proteins that showed increased expression in gastric cancer included inter-alpha-trypsin inhibitor heavy chain H4 (ITIH4), Mannose-binding protein C (MBL2), sex hormone-binding globulin (SHBG), insulin-like growth factor-binding protein 2 (IGFBP2), serum amyloid A protein (SAA1), Orosomucoid 1 (ORM1) and extracellular superoxide dismutase [Cu-Zn] (SOD3). We used multiple reaction monitoring assays and validated elevated levels of ITIH4 and SAA1 proteins in serum from gastric cancer patients.

BIOLOGICAL SIGNIFICANCE

Gastric cancer is a highly aggressive cancer associated with high mortality. Serum-based biomarkers are of considerable interest in diagnosis and monitoring of various diseases including cancers. Gastric cancer is often diagnosed at advanced stages resulting in poor prognosis and high mortality. Pathological diagnosis using biopsy specimens remains the gold standard for diagnosis of gastric cancer. Serum-based biomarkers are of considerable importance as they are minimally invasive. In this study, we carried out quantitative proteomic profiling of serum from gastric cancer patients to identify proteins that show altered levels in gastric cancer patients. We identified more than 50 proteins that showed altered levels in gastric cancer patient sera. Validation in a large cohort of well classified patient samples would prove useful in identifying novel blood based biomarkers for gastric cancers. This article is part of a Special Issue entitled: Proteomics in India.

Clinical pharmacokinetics of the new oral camptothecin gimatecan: the inter-patient variability is related to alpha1-acid glycoprotein plasma levels

AIM OF THE STUDY

To determine the pharmacokinetics of gimatecan, a camptothecin with a lipophilic substitution in position 7, given orally to patients participating in the phase I study.

METHODS

Pharmacokinetics was evaluated in 78 patients after oral daily dose for 5 days a week for 1, 2 or 3 weeks by HPLC with a fluorescence detector.

RESULTS

Gimatecan was mainly present in plasma as lactone (>85%), the active form as DNA-topoisomerase I poison. The AUC(0-24) on the first day of treatment normalised per daily dose (mg/m(2)), ranged from 194 to 2909 ng h/mL/mg/m(2). The half-life was 77.1+/-29.6h, consequently C(max) and AUC rose 3-6-fold after multiple dosing. Multivariate analysis indicated the daily dose (p<0.0001) and the alpha(1)-acid glycoprotein (AGP) plasma levels (p<0.0001) as main predictors of gimatecan AUC(0-24). In the overall analysis, daily dose and AGP plasma levels explained 85% of the deviance. The hydroxy metabolite ST1698 was present in plasma at low levels with AUC values of 5-15% of gimatecan. In mice, orally treated with gimatecan, plasma and tissue levels were 2-fold higher after treatment with a pro-inflammatory agent causing AGP induction.

CONCLUSIONS

Gimatecan is orally absorbed and its variable plasma levels seem to be related to AGP plasma concentrations. Data obtained in mice, together with the fact that AGP levels largely exceeded gimatecan plasma concentrations, suggest that the increased gimatecan levels in patients with high AGP levels are not related to the binding of the drug to AGP with consequent reduced tissue drug distribution, but possibly to other mechanism associated with inflammation being AGP simply a marker of the inflammation process.

Clindamycin-paclitaxel pharmacokinetic interaction in ovarian cancer patients

INTRODUCTION

Plasma protein binding is an important factor for many drugs that can influence the tissue distribution and pharmacokinetics. alpha(1)-acid glycoprotein (AGP) is an acute-phase protein that can increase in plasma of patients with several pathological conditions including cancer. Studies performed in cultured cells indicate that paclitaxel cytotoxicity is reduced by adding AGP and the sensitivity to paclitaxel is restored by displacing its binding to AGP with clindamycin, resulting in an increased paclitaxel cell uptake. The purpose of this study was to evaluate whether clindamycin modifies paclitaxel pharmacokinetics also in cancer patients.

PATIENTS AND METHODS

Sixteen patients with advanced ovarian cancer, previously treated with surgery and chemotherapy were enrolled in this study. A pharmacokinetic study of paclitaxel was performed in the first three cycles of the consolidation therapy (paclitaxel and carboplatin) in each patient. In these cycles paclitaxel was administered alone and with two different doses (600 and 1,200 mg) of concurrent clindamycin. The sequence of the three treatments was randomly assigned in each patient in order to avoid the same order of treatments.

RESULTS

Paclitaxel pharmacokinetics were partly modified by the concurrent administration of clindamycin. C (max) and AUC(0-last) of paclitaxel were significantly higher when the drug was given alone than when it was coadministered with 1,200 mg clindamycin. Moreover, AGP concentrations seem to have a small but statistically significant influence on paclitaxel pharmacokinetic, since AUC(0-last) showed a positive significant correlation with AGP plasma concentration when paclitaxel was given alone. The linear relation was lost when paclitaxel was coadministered with 1,200 mg clindamycin. Toxicity was not influenced by the coadministration of clindamycin.

CONCLUSION

The hypothesis that clindamycin could affect paclitaxel pharmacokinetics seems to be verified with this study. Nevertheless, changes induced by giving the combination of the two drugs are minimal and thus of questionable clinical relevance.