BACKGROUND. Histopathologic grading and clinical staging cannot provid
e a precise prognosis of oral cavity cancer patients. The use of glyco
histochemical markers may improve the level of prognostic accuracy of
such conventional classification systems. METHODS. Computer-assisted m
icroscopy was employed in a series of 40 oral cavity cancers to determ
ine quantitatively the percentage of positive cells, the staining inte
nsity, and the level of staining heterogeneity for 3 glycohistochemica
l markers, including peanut agglutinin (PNA), Thomsen-Friedenreich ant
igen (T antigen) as part of a neoglycoprotein, and sarcolectin. Data w
ere evaluated by discriminant analysis. RESULTS. Although the level of
differentiation (P < 0.01 to P < 0.001) and the T variable of the TNM
staging system (P < 0.05 to P < 0.01) related mainly to the level of
expression of the acceptor sites for PNA and the T antigen, the patien
t survival period (P < 0.05) was largely a fraction of the level of ex
pression of the acceptor sites for the carrier-immobilized T antigen a
nd for sarcolectin. CONCLUSIONS. In oral cavity cancer, determining th
e level of acceptor sites for PNA, T antigen, and sarcolectin provides
useful information on histopathologic differentiation, clinical stagi
ng, and survival. Because these processes of determination were carrie
d out quantitatively, a discriminant model was set up, which enabled t
he level of oral cavity cancer aggressiveness to be characterized prec
isely. The current methodology described in this article should theref
ore afford patholo gists original and quantitative (and thus objective
) prognostic markers for oral cavity cancers. (C) 1998 American Cancer
Society.