Literature DB >> 26989724

A study of lipid- and protein- bound sialic acids for the diagnosis of bladder cancer and their relationships with the severity of malignancy.

Shima Habibi1, Hassan Jamshidian2, Mahdi Kadivar3, Mohammad Reza Eshraghian4, Mohammad Hassan Javanbakht1, Hoda Derakhshanian1, Mahmoud Djalali1.   

Abstract

BACKGROUND: The gold standard for detection of bladder cancer is cystoscopy, which is an invasive and complicated procedure. Our study was conducted to find a tumor marker with high specificity, sensitivity, and accuracy for the diagnosis of bladder cancer.
METHODS: Serum samples were collected from 58 bladder cancer patients and 60 healthy control subjects. Levels of lipid-bound sialic acid (LBSA), and protein-bound sialic acid (PBSA) were measured spectrophotometrically by Aminoff's method.
RESULTS: Mean levels of both markers were found to be significantly higher in the patients than the healthy controls. Positive correlations were observed between serum levels of lipid- (r=0.283, p<0.05) and protein- bound (r=0.56, p<0.05) sialic acids and the grade of malignancy. To differentiate patients with bladder tumors from healthy controls, cut-offpoints were determined for each of the two parameters based on Receiver Operating Characteristic (ROC) curve analysis (LBSA=21.25 mg/dL, PBSA=6.15 mg/dL). The data showed good sensitivities (LBSA=89%, PBSA=79%), specificities (LBSA=70%, PBSA=70%) and accuracies (LBSA=83%, PBSA=81%) for both markers.
CONCLUSION: Measuring serum LBSA and PBSA by this simple, reproducible, noninvasive, and inexpensive method can accurately discriminate cancer patients from healthy individuals.

Entities:  

Keywords:  N-Acetylneuraminic Acid; Tumor Markers; Urinary Bladder Neoplasms

Year:  2014        PMID: 26989724      PMCID: PMC4757049     

Source DB:  PubMed          Journal:  Rep Biochem Mol Biol        ISSN: 2322-3480


  21 in total

1.  Determination of serum total lipid and free N-acetylneuraminic acid in genitourinary malignancies by fluorimetric high performance liquid chromatography. Relevance of free N-acetylneuraminic acid as tumour marker.

Authors:  A Laganà; B Pardo-Martínez; A Marino; G Fago; M Bizzarri
Journal:  Clin Chim Acta       Date:  1995-12-29       Impact factor: 3.786

Review 2.  Current concepts in biomarker technology for bladder cancers.

Authors:  M Burchardt; T Burchardt; A Shabsigh; A De La Taille; M C Benson; I Sawczuk
Journal:  Clin Chem       Date:  2000-05       Impact factor: 8.327

3.  Sialic acids: fascinating sugars in higher animals and man.

Authors:  Roland Schauer
Journal:  Zoology (Jena)       Date:  2004       Impact factor: 2.240

4.  The significance of serum lipid-bound sialic acid in bladder tumours.

Authors:  A Oztokatli; H Ozkardeş; E Ovül; D Erol
Journal:  Int Urol Nephrol       Date:  1992       Impact factor: 2.370

5.  Role of serum total sialic acid in differentiating cholangiocarcinoma from hepatocellular carcinoma.

Authors:  Prachya Kongtawelert; Pisit Tangkijvanich; Siriwan Ong-Chai; Yong Poovorawan
Journal:  World J Gastroenterol       Date:  2003-10       Impact factor: 5.742

Review 6.  Glycosylation in bladder cancer.

Authors:  Chikara Ohyama
Journal:  Int J Clin Oncol       Date:  2008-08-15       Impact factor: 3.402

7.  Evaluation of serum sialic acid, sialyltransferase and sialoproteins in oral cavity cancer.

Authors:  G N Raval; D D Patel; L J Parekh; J B Patel; M H Shah; P S Patel
Journal:  Oral Dis       Date:  2003-05       Impact factor: 3.511

Review 8.  Sialic acids: carbohydrate moieties that influence the biological and physical properties of biopharmaceutical proteins and living cells.

Authors:  Barry Byrne; Gerard G Donohoe; Richard O'Kennedy
Journal:  Drug Discov Today       Date:  2007-03-01       Impact factor: 7.851

Review 9.  Achievements and challenges of sialic acid research.

Authors:  R Schauer
Journal:  Glycoconj J       Date:  2000 Jul-Sep       Impact factor: 2.916

Review 10.  Diversity in cell surface sialic acid presentations: implications for biology and disease.

Authors:  Nissi M Varki; Ajit Varki
Journal:  Lab Invest       Date:  2007-07-16       Impact factor: 5.662

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