title: Identification of patients at high risk for colorectal carcinoma from biopsy studies of the apparently normal colorectal mucosa. A multivariate analysis.
abstract: A number of phenotypic abnormalities of the colorectal mucosa which appears normal have been described to be biomarkers of cancer development. To improve their sensitivity and specificity, we simultaneously determined 10 morphological and histochemical parameters in biopsies from the colonoscopically normal mucosa of the descending colon, sigmoid, and rectum. The results were analysed by multivariate statistical methods. We tested the discriminating power of proliferative, morphometric, enzyme and mucin histochemical parameters from 80 patients either at average risk (controls), with an increased risk for colorectal carcinoma (high-risk), or with a manifest carcinoma. The following parameters were investigated: number of mitotic figures per crypt, crypt length, apical, medial and basal crypt diameter, crypt surface, activity of succinate dehydrogenase (EC 1.3.99.1), activity of acid beta-galactosidase (EC 3.2.1.23), sulpho- and sialomucin contents. Univariate statistical analyses revealed that crypt length, crypt diameter and crypt surface were significantly increased in the high-risk group, the carcinoma carriers having intermediate values between average-risk and high-risk patients. In a two-group discriminant analysis, high-risk or carcinoma patients could be separated from average-risk patients with a sensitivity of 92.9% and a specificity of 100%. When the analysis was repeated for three groups (carcinoma carriers separated from high-risk patients), sensitivity and specificity were 100% for each group. We conclude that identification of patients at risk for colorectal carcinoma is possible from the normal-appearing left colonic and rectal mucosa by morphometric and cytochemical analysis of biopsies.
authors.affiliation: Department of Gastroenterology, Klinikum Steglitz, Free University of Berlin, Germany.
authors.forename: F
authors.initials: F
authors.lastname: Sandforth
authors.forename: L
authors.initials: L
authors.lastname: Witzel
authors.forename: T
authors.initials: T
authors.lastname: Balzer
authors.forename: S
authors.initials: S
authors.lastname: Gutschmidt
authors.forename: I
authors.initials: I
authors.lastname: Janicke
authors.forename: E O
authors.initials: EO
authors.lastname: Riecken
mesh_terms: D000368:Aged; D014408:Biomarkers, Tumor; D015179:Colorectal Neoplasms / Q000209:etiology* / Q000378:metabolism / Q000473:pathology; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008940:Mitotic Index; D009077:Mucins / Q000378:metabolism; D015999:Multivariate Analysis; D012307:Risk Factors; D013385:Succinate Dehydrogenase / Q000378:metabolism; D001616:beta-Galactosidase / Q000378:metabolism
chemical_list: D014408:Biomarkers, Tumor; D009077:Mucins; D013385:Succinate Dehydrogenase; D001616:beta-Galactosidase