Multivariate regression analysis of the biomarkers and clinical characteristics in the prognosis of malignant melanoma.
- Author:
Jing LIU
1
;
Rong LI
;
Xiaoping ZHOU
;
Junyi ZHANG
;
Rongcheng LUO
Author Information
- Publication Type:Journal Article
- MeSH: Adult; Aged; Biomarkers, Tumor; metabolism; Female; Humans; Male; Melanoma; diagnosis; mortality; pathology; Melanoma-Specific Antigens; metabolism; Middle Aged; Multivariate Analysis; Prognosis; Retrospective Studies; S100 Proteins; metabolism; Skin Neoplasms; diagnosis; pathology; Survival Rate; Vimentin; metabolism
- From: Journal of Southern Medical University 2012;32(6):847-853
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo evaluate the impact of the biomarkers and the clinicopathological characteristics on the prognosis of malignant melanoma (MM).
METHODSThe clinical data of 127 MM cases were retrospective analyzed. The surgical specimens of MM were analyzed with immunohistochemistry for detecting HMB45, S-100 and vimentin expressions, and univariate and multivariate regression analysis was performed to analyze their correlation to the prognosis of the patients.
RESULTSAmong the 127 MM cases, the positivity rates of HMB45, S-100 and vimentin were 89.8%, 92.1% and 78.0%, respectively. Univariate analysis showed that the patients' age, ulcer, Clark classification, postoperative tumor margin, AJCC, treatment outcomes, and S-100 were significantly correlated to the prognosis, and multivariate analysis indicated that age, Clark classification, S-100, tumor margin and outcomes were the independent predictive factors for the prognosis of MM.
CONCLUSIONS-100, age, Clark classification, S-100, tumor margin and treatment outcomes were the independent prognostic factors for MM, and HMB45 and vimentin have no predictive value in the prognosis of MM.
