K. Kurvinen et al., P53 AND BCL-2 PROTEINS AS PROGNOSTIC MARKERS IN HUMAN PAPILLOMAVIRUS-ASSOCIATED CERVICAL LESIONS, Journal of clinical oncology, 14(7), 1996, pp. 2120-2130
Purpose: The present study wets designed to analyze the expression of
p53, mdm2, and bcl-2 proteins, with special emphasis on their associat
ion with the grade of squamous intraepithelial lesion (SIL), human pap
illomavirus (HPV) type, and clinical course of the disease. Special at
tention was focused on the value of individual protein expressions, as
well as combined p53/mdm2 and p53/bcl-2 phenotypes, in predicting the
clinical course of cervical lesions. Materials and Methods: The expre
ssion of p53, mdm2, and bcl-2 was studied immunohistochemically in a s
eries of 98 HPV lesions of the uterine cervix. Results: Frequent expre
ssion of p53, mdm2, and bcl-2 proteins was found in the cervical lesio
ns. However, only p53 expression independently provided information fo
r prediction of the clinical course of HPV lesions, High levels of p53
expression were detected in most low-grade SILs (LSILs) (83%) and HPV
6/11/42-associated lesions (86%). In high-grade SILs (HSILs) positive
for high-risk HPV types, p53 expression was frequently either totally
absent or it only occurred in a few scattered cells, These lesions we
re closely associated with disease progression. The evaluation of bcl-
2 expression alone was not useful for predicting clinical outcome, alt
hough abnormal bcl-2 expression in suprabasal layers was more common i
n HSILs, By contrast, the combined p53/bcl-2 phenotype, which showed a
low percentage of p53-positive cells with bcl-2 overexpression in upp
er epithelial layers, was found to be involved in the progression of H
PV lesions. Conclusion: The present study showed that HPV lesions with
a high percentage of cells that express p53 are more likely to regres
s than those with low or absent p53, p53 thus seems to hold promise as
a molecular marker for the risk of the progression of HPV-associated
SILs. In addition, the assessment of p53 and bcl-2 expression patterns
may be useful to predict the clinical course of cervical HPV lesions.