HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Enzyme-linked PNA lectin-binding assay of serum T-antigen in patients with SCC of the uterine cervix.

Abstract
The expression of Thomsen-Friendenreich antigen (T-Ag) is associated with enhanced metastatic potential, poor prognosis and decreased survival rate in a variety of malignancies, and their detection and quantification can be used in serologic diagnosis. T-antigen expressions were measured by the enzyme-linked lectin assay (ELLA) with peanut agglutinin (PNA) in the sera of patients with squamous cell carcinoma (SCC) of the uterine cervix from 286 patients. This study has a sensitivity of 80%, specificity of 82% and a positive predictive value of 93%. Quantification of the T-antigen may provide useful biochemical indices for clinical assessment of the tumor spread and invasiveness of disease in SCC of the uterine cervix. Moreover, the ELLA assay is cheap, easy to perform and reproducible in the prognosis and diagnosis of SCC of the uterine cervix.
AuthorsA L Reddi, K Sankaranarayanan, H S Arulraj, N Devaraj, H Devaraj
JournalCancer letters (Cancer Lett) Vol. 149 Issue 1-2 Pg. 207-11 (Feb 28 2000) ISSN: 0304-3835 [Print] Ireland
PMID10737726 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Chemical References
  • Antigens, Tumor-Associated, Carbohydrate
  • Lectins
  • Thomsen-Friedenreich antigen
Topics
  • Adult
  • Antigens, Tumor-Associated, Carbohydrate (blood)
  • Carcinoma, Squamous Cell (blood, immunology)
  • Female
  • Humans
  • Immunoenzyme Techniques (methods)
  • Lectins
  • Middle Aged
  • Uterine Cervical Neoplasms (blood, immunology)

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: