Prognostic value of c-myc proto-oncogene overexpression in early invasive carcinoma of the cervix.
- 1 November 1990
- journal article
- research article
- Published by American Society of Clinical Oncology (ASCO) in Journal of Clinical Oncology
- Vol. 8 (11) , 1789-1796
- https://doi.org/10.1200/jco.1990.8.11.1789
Abstract
The prognostic effect of c-myc oncogene overexpression was assessed in a multivariate analysis of 93 patients with invasive carcinoma of the cervix, stage Ib, IIa, and IIb proximal. The treatment was based on the association of brachytherapy-colpohysterectomy and lymphadenectomy. Analysis of c-myc gene expression was done using Northern and slot blot hybridization techniques. Overexpression of c-myc (ie, levels at least three times the mean observed in normal tissues) was present in 33% of the tumors. The proportion of carcinomas with c-myc overexpression significantly increased with the size of the primary tumor (P = .04). No relationship was found between c-myc overexpression and the other clinical and histologic parameters, including the nodal status. The relative risk of relapse (overall, pelvic failure, distant metastases) was analyzed in a Cox's proportional hazards model. Three factors were significantly related to the risk of overall relapse when the multivariate analysis was performed, namely, the tumor size, the nodal status, and c-myc expression. A combination of c-myc expression and the nodal status provided a very accurate indication of the risk of relapse. Indeed, patients with negative nodes had a 3-year disease-free survival rate of 93% (95% confidence interval [Cl], 79% to 98%) when c-myc was expressed at a normal level, whereas this rate was only 51% (95% Cl, 26% to 63%) when c-myc was overexpressed (log-rank test, P = .02). In addition, in the subgroup of patients with positive nodes, this rate was 44% (95% Cl, 25% to 77%) and 15% (95% Cl, 4% to 49%) when c-myc gene was expressed at normal level, or overexpressed, respectively. Finally, c-myc gene overexpression was, in the multivariate analysis, the first factor selected by the model regarding the risk of distant metastases.This publication has 12 references indexed in Scilit:
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