Publications (8) View all
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Article: Development of a novel metastatic breast cancer score based on hyaluronic acid metabolism.
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ABSTRACT: Tumor metastasis involves the dissemination of malignant cells into the basement membrane, and the vascular system contributes to the circulating pool of these markers. In this context, our aim has been focused on the development of a non-invasive score based on degradation of the backbone of glycosaminoglycans of the extracellular matrix; namely hyaluronic acid (HA), for the assessment of metastasis in patients with breast cancer. HA level was determined by enzyme-linked immunosorbent assay; CA 15.3 was determined by microparticle enzyme immunoassay; hyaluronidase, N-acetyl-β-D-glucosaminidase, β-glucuronidase, glucuronic acid, and glucosamine were assayed by standard colorimetric techniques in 217 patients with breast cancer. Statistical analyses were performed by logistic regression and receiver-operating characteristic analysis curves. The multivariate discriminant analysis selects a score based on absolute values of the six biochemical markers: metastatic breast cancer score (MBCS) = [1.04 (Numerical constant) + 0.003 × CA 15.3 (U/l) + 0.001 × HA (ng/ml) + 0.004 × hyaluronidase (mg N-acetyl-β-D-glucosamine/ml/18 h) + 0.001 × N-acetyl-β-D-glucosaminidase (μmol/ml/min) + 0.026 × glucuronic acid (ng/ml) + 0.003 × glucosamine (μg/dl)]. This function correctly classified 87 % of metastatic breast cancer at cut-off value = 0.85 (i.e., great than 0.85 indicates patients with metastatic breast cancer and less than 0.85 indicates patients with non-metastatic breast cancer). MBCS is a novel, non-invasive, and simple score which can be applied to discriminate patients with metastatic breast cancer.Medical Oncology 03/2013; 30(1):404. · 2.14 Impact Factor -
Article: Effects of smoking on the oxidant/antioxidant balance and the blood lipids in pesticide sprayers.
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ABSTRACT: The present study was conducted on 80 pesticide male sprayers (42 nonsmokers and 38 smokers). Our aim was to estimate the smoking effects on blood lipids and oxidant/antioxidant status in pesticide sprayers. Results revealed that cholesterol, low-density lipoprotein (LDL) and glutathion peroxidase (GPx) enzyme were significantly higher in the 38 smoker sprayers than in the 42 nonsmoker sprayers. Cholesterol and LDL were correlated with smoking index and high-density lipoprotein (HDL), superoxide dismutase (SOD) enzyme and zinc (Zn) were inversely correlated with duration of pesticides' exposure. In nonsmokers, LDL and cholesterol were negatively correlated with SOD and correlated with malondialdehyde (MDA), and cholesterol was negatively correlated with Zn. HDL was negatively correlated with MDA in all the sprayers, but was correlated with GPx in smokers and with Zn in nonsmokers. In smokers, LDL was negatively correlated with GPx, HDL was negatively correlated with MDA and triglycerides and very-low-density lipoprotein were negatively correlated with Zn. MDA was negatively correlated with SOD, GPx and Zn. Smoking and pesticide exposure could be responsible for hyperlipidemia and oxidative stress. Therefore, improvement in the antioxidant status is mandatory for pesticide sprayers especially the ones who smoke.Toxicology and Industrial Health 01/2013; · 1.42 Impact Factor -
Article: Role of hyaluronic acid, its degrading enzymes, degradation products, and ferritin in the assessment of fibrosis stage in Egyptian patients with chronic hepatitis C.
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ABSTRACT: BACKGROUND/AIMS: Liver biopsy is considered a gold standard for fibrosis staging, but it has a high risk of morbidity. Therefore, there is an interest in developing noninvasive markers for the prediction of liver fibrosis stages. METHODS: Hyaluronic acid, ferritin, N-acetyl-β-D-glucosaminidase, β-glucuronidase, glucosamine, aspartate transaminase, and alanine transaminase were assayed in 210 individuals with chronic hepatitis C infection. Statistical analysis was carried out by logistic regression and receiver-operating characteristic curves. RESULTS: The best linear combination of only significant blood markers was used for the determination of the fibrosis discriminant score; score=[1.64 (numerical constant)-0.002×hyaluronic acid (pg/l)-2.68×β-glucuronidase (µmol/ml/min)-0.026×glucosamine (µg/dl)-0.001×ferritin-0.033 (ng/ml)×aspartate transaminase/alanine transaminase]. The selected fibrosis discriminant score function correctly classified 81% of patients with severe liver fibrosis at a discriminant cut-off score=0.55 (i.e. less than 0.55 indicated mild liver fibrosis and greater than 0.55 indicated severe liver fibrosis), with a sensitivity of 100% and a specificity of 73%. CONCLUSION: A simple fibrosis index can be useful to select hepatitis C virus-infected patients with a very low risk of significant fibrosis in whom the protocol of liver biopsies may be avoided.European journal of gastroenterology & hepatology 09/2012; · 1.66 Impact Factor -
Article: Discriminant function based on parameters of hyaluronic acid metabolism and nitric oxide to differentiate metastatic from non-metastatic colorectal cancer patients.
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ABSTRACT: Colorectal cancer (CRC) is one of the most common causes of cancer-related deaths worldwide. Because there is currently no useful serological marker for metastatic colorectal cancer, the search for simple biomarkers for colorectal cancer diagnosis and prognosis is needed. Hyaluronic acid level was determined by ELISA; in addition to its degrading enzymes, degradation products and nitric oxide were determined by standard techniques in 185 CRC patients with and without metastases. Statistical analyses were performed by logistic regression and receiver-operating characteristic (ROC) curves. The multivariate discriminate analysis (MDA) selects a function based on absolute values of six biochemical markers; score = [-0.62 (numerical constant) + hyaluronic acid (pg/l) × 0.002 + hyaluronidase (mg N-acetyl glucosamine/ml/18 h) × 0.009-β-glucuronidase (μmol/ml/min) × 0.07 + N-acetyl-β-D-glucosaminidase (μmol/ml/min) × 0.019-glucuronic acid (μg/dl) × 0.001 + nitric oxide (μmol/l) × 0.01]. The selected MDA function correctly classified 92% of the metastatic CRC patients at a discriminate cut-off score = 0.24 (i.e., less than 0.24 indicated patients with non-metastatic colon cancer, and greater than 0.24 indicated patients with metastatic colon cancer with high degrees of sensitivity (100%) and specificity (93%)). The positive predictive and negative predictive values were also high (81% and 85%, respectively). Colorectal cancer patients can be simply and efficiently classified into metastatic or non-metastatic using their MDA score.Tumor Biology 01/2012; 33(4):995-1004. · 1.94 Impact Factor -
Article: Significance of vascular endothelial growth factor, interleukin-18 and nitric oxide in patients with breast cancer: correlation with carbohydrate antigen 15.3.
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ABSTRACT: The aim of this study was to determine serum concentrations of angiogenic factors including vascular endothelial growth factor (VEGF), interleukin 18 (IL-18) and nitric oxide (NO) in patients with breast cancer and to evaluate whether these factors will be correlated with CA 15.3, as a routine tumor marker for breast cancer or not. This study was conducted on 44 patients with breast cancer and 15 healthy individuals as a control group. The results demonstrated significant increase in serum IL-18, NO and CA 15.3 levels in sera of breast cancer patients when compared to those of the control group (P < 0.001, P = 0.016 and P < 0.001, respectively). However, the mean serum level of VEGF in patients as showed insignificant increase compared to that of the controls was not significant (P = 0.311). Sensitivity of CA 15.3, VEGF, IL-18 and NO to detect patients with disease was 52.2, 21.3, 77.2 and 70.4 %, respectively. In addition, positive status of serum CA 15.3 and/or IL-18 was found in 39 out of 44 (88.6 %) patients, and the positive status of serum CA 15.3 and/or NO was only found in 35 out of 44 (79.5 %). In conclusion, the simultaneous determination of IL-18 or NO in combination with the CA 15.3 may increase the sensitivity to diagnose breast cancer and may aid in disease prognosis.Medical Oncology 12/2011; 28 Suppl 1:S15-21. · 2.14 Impact Factor
