Expression of FLI-1 and analysis of prognostic factors in primitive neuroectodermal tumor.
- Author:
Li-Juan CHEN
1
;
Yong-Xu JIA
;
Fei-Fei FAN
;
Xing-Ya LI
Author Information
- Publication Type:Journal Article
- MeSH: 12E7 Antigen; Adolescent; Adult; Antigens, CD; metabolism; Brain Neoplasms; metabolism; pathology; therapy; Cell Adhesion Molecules; metabolism; Child; Child, Preschool; Combined Modality Therapy; Female; Follow-Up Studies; Humans; Infant; Male; Middle Aged; Neuroectodermal Tumors, Primitive; metabolism; pathology; therapy; Neuroectodermal Tumors, Primitive, Peripheral; metabolism; pathology; therapy; Pelvic Neoplasms; metabolism; pathology; therapy; Phosphopyruvate Hydratase; metabolism; Proportional Hazards Models; Proto-Oncogene Protein c-fli-1; metabolism; S100 Proteins; metabolism; Survival Rate; Synaptophysin; metabolism; Vimentin; metabolism; Young Adult
- From: Chinese Journal of Oncology 2010;32(12):917-920
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo observe the expression of FLI-1 in primitive neuroectodermal tumors (PNET), explore the value of immunohistochemical staining of FLI-1 in combination with other neural markers in diagnosis of PNET, and analyze the prognostic factors in PNET patients.
METHODS35 cases of PNET, of which 33 cases with complete clinical data, were included in this study. Immmunohistochemistry (The En Vision method) was applied to detect the expression of FLI-1, CD99, Syn, NSE, S-100, NF, Vim in the tumor tissues. The clinicopathological data of 33 cases were analyzed by Cox regression.
RESULTSThe positive expression rate of FLI-1 were 51.4% and that of CD99 was 88.6%. The sensitivity of FLI-1 combined with CD99 was up to 100%. The positive rates of Vim, Syn, NSE, s-100 and NF were 91.4%, 48.6%, 45.7%, 22.9% and 0, respectively. Cox regression analysis showed that the impact of primary location and treatment modality were of statistical significance (P < 0.05), but the age, sex, stage or size of tumors did not (P > 0.05).
CONCLUSIONImmunohistochemical detection of FLI-1 and neural markers is a preferred method for clinical diagnosis of PNET. The main factors affecting the prognosis are the primary location of PNET and treatment modality.
