Seregard S, Spångberg B, Juul C, Oskarsson M. Prognostic accuracy of the mean of the largest nucleoli, vascular patterns, and PC-10 in posterior uveal melanoma.
Ophthalmology 1998;
105:485-91. [PMID:
9499780 DOI:
10.1016/s0161-6420(98)93032-9]
[Citation(s) in RCA: 53] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVE
This study aimed to compare the prognostic value and the predictive accuracy of the PC-10 cell cycling marker with the largest tumor diameter, the mean of the largest nucleoli, and vascular patterns in posterior uveal melanoma.
DESIGN
The study design was a case-control study.
PARTICIPANTS
Eyes enucleated for posterior uveal melanoma from patients who either died of metastatic melanoma or survived without signs of metastatic disease 10 years or more after surgery were studied.
INTERVENTION
Three observers assessed the above prognostic indicators and standard histopathologic characteristics from microslides without access to survival data.
MAIN OUTCOME MEASURES
Univariate and multivariate Cox models for survival were constructed, and a multiparameter prognostic index was calculated for each patient, based on covariates obtained from the final Cox model. The prognostic accuracy was determined by receiver operating characteristic curve analysis.
RESULTS
The log PC-10 count, vascular networks, mean of the largest nucleoli, largest tumor diameter, age of patient, and prognostic index were independently associated with outcome. However, each of these indicators had no more than a poor-to-moderate predictive accuracy, and only the prognostic index was significantly better than the largest tumor diameter.
CONCLUSIONS
The PC-10 count retains a prognostic value in uveal melanoma when adjusting for the effect of the mean of the largest nucleoli and diverse vascular patterns. A prognostic index combining two or more indicators may improve the predictive precision.
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