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Histopathology ; 40(5): 440-9, 2002 May.
Article in English | MEDLINE | ID: mdl-12010364

ABSTRACT

AIMS: The significance of MUC1, MUC2 and sialylated Lewis blood group antigens as prognostic markers in colorectal adenocarcinoma was investigated in a large series of patients because previous investigations revealed inconsistent results due to unrelated tumour samples from different patient groups and methodological differences. METHODS AND RESULTS: Tissues from 243 patients with colorectal adenocarcinoma were stained immunohistochemically. MUC1 showed a strong immunoreactivity (in more than 35% of the tumour area) in 32.5%, MUC2 in 51.0%, sialyl-Lewis(x) in 67.9% and sialyl-Lewis(a) in 73.7% of the cases, respectively. MUC1 immunoreactivity displayed a significant correlation with tumour progression as reflected by advancing pTNM staging and poor differentiation. MUC2 expression was significantly stronger in mucinous adenocarcinomas. Sialyl-Lewis(x) immunostaining correlated with the extent of lymph node metastasis as well as low cytological differentiation. According to univariate and multivariate analysis (P < 0.0001) only MUC1 reactivity represented a marker of worse survival probability, opposed to the sialylated Lewis antigens that did not exert a predictive value. CONCLUSIONS: According to our data, MUC1 and sialyl-Lewis(x) immunoreactivity exhibit statistically significant correlations with established markers of tumour progression. However, only MUC1 presents as an independent prognostic factor of colorectal adenocarcinoma.


Subject(s)
Adenocarcinoma/pathology , Antigens, Tumor-Associated, Carbohydrate/analysis , Colorectal Neoplasms/pathology , Adenocarcinoma/metabolism , Adenocarcinoma/mortality , Adult , Aged , Aged, 80 and over , CA-19-9 Antigen , Colorectal Neoplasms/metabolism , Colorectal Neoplasms/mortality , Female , Follow-Up Studies , Gangliosides/analysis , Humans , Immunohistochemistry , Male , Middle Aged , Mucin-1/analysis , Mucin-2 , Mucins/analysis , Neoplasm Staging , Oligosaccharides/analysis , Predictive Value of Tests , Prognosis , Sialyl Lewis X Antigen , Survival Analysis , Survival Rate , Time Factors
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