Expressions and significance of E-cadherin and beta-catenin in synovial sarcoma.
- Author:
Bao-cun SUN
1
;
Yan SUN
;
Xiu-lan ZHAO
;
Yi-xin LIU
;
Shi-wu ZHANG
;
Yan-xue LIU
Author Information
- Publication Type:Journal Article
- MeSH: Adult; Cadherins; biosynthesis; genetics; Extremities; Female; Humans; Male; Middle Aged; Neoplasm Metastasis; Prognosis; Sarcoma, Synovial; metabolism; pathology; Soft Tissue Neoplasms; metabolism; pathology; Tissue Array Analysis; beta Catenin; biosynthesis
- From: Chinese Journal of Oncology 2005;27(12):727-730
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo explore the expression and significance of E-cadherin (E-cad) and beta-catenin (beta-cat) in synovial sarcoma.
METHODSExpression of E-cad and beta-cat in 72 cases of synovial sarcoma were detected by tissue microarray technique and immunohistochemistry. The relationships between E-cad and beta-cat expression and clinicopathological data and survival rate were analyzed.
RESULTS(1) 95.1% of dots on the tissue microarrays were observable morphologically. The background was clear and the contrast was vivid after immunohistochemistry. (2) The expression of E-cad was reduced in 56 patients (77.8%) and that of beta-cat was reduced in 51 patients (70.8%). (3) In patients with synovial sarcoma of monophasic fibrous type, grade III, and in patients with recurrence or metastasis, CK-negative and EMA-negative the rates of reduced expression of E-cad and beta-cat were significantly higher than those with primary sarcoma of biphasic type, grade II, CK-positive and EMA positive (P < 0.05 for all). (4) The survival of synovial sarcoma patients with E-cad and beta-cat expressions preserved was significantly better than those with reduced expressions (P = 0.012, P = 0.047).
CONCLUSIONThe expression of E-cad and beta-cat is correlated with cell differentiation. Reduced expression of E-cad and beta-cat may indicate a high potential of recurrence or metastasis and poor prognosis. Tissue microarray technique is applicable for retrospective studies of large sample size.