title: A novel logistic model based on clinicopathological features predicts microsatellite instability in colorectal carcinomas.
abstract: High-frequency microsatellite instability has been reported to be associated with good prognosis in colorectal adenocarcinoma. However, methods to assess microsatellite instability (MIN) are based on genetic assays and are not ideally suited to most histopathology laboratories. The aim of the present study was to develop a model for prediction of MIN status in colorectal cancer based on phenotypic characteristics. Clinicopathological features of a cohort of 204 patients with primary colon cancer were retrospectively reviewed following predetermined criteria. Genetic assessment of MIN status was performed on DNA extracted from sections of formalin-fixed, paraffin-embedded specimens by testing a panel of 11 microsatellite markers. Logistic regression analysis generated a mathematical tool capable of identifying colorectal tumors displaying MIN status with a sensitivity of 77.8% and a specificity of 96.8%. Features associated with instability included the proximal location of the lesions, occurrence of solid and/or mucinous differentiation, absence of cribriform structures, presence of peritumoral Crohn-like reaction, expansive growth pattern, high Ki67 proliferative index, and p53-negative phenotype. This approach predicts microsatellite instability in colorectal carcinoma with an overall assigned accuracy of 95.1% and a negative predictive value of 97.8%. Implementation of this tool to routine histopathological studies could improve the management of patients with colorectal cancer, especially those presenting with stage II and III of the disease. It will also assist in identifying a subset of patients likely to benefit from adjuvant chemotherapy.
authors.affiliation: BIOPAT, Grup Assistència, Barcelona, Spain.
authors.forename: Anna
authors.initials: A
authors.lastname: Colomer
authors.forename: Nadina
authors.initials: N
authors.lastname: Erill
authors.forename: August
authors.initials: A
authors.lastname: Vidal
authors.forename: Miquel
authors.initials: M
authors.lastname: Calvo
authors.forename: Ruth
authors.initials: R
authors.lastname: Roman
authors.forename: Montse
authors.initials: M
authors.lastname: Verdú
authors.forename: Carlos
authors.initials: C
authors.lastname: Cordon-Cardo
authors.forename: Xavier
authors.initials: X
authors.lastname: Puig
mesh_terms: D000368:Aged; D000704:Analysis of Variance; D015179:Colorectal Neoplasms / Q000235:genetics* / Q000473:pathology*; D003663:Decision Trees; D005260:Female; D005784:Gene Amplification; D042822:Genomic Instability; D006801:Humans; D019394:Ki-67 Antigen; D016015:Logistic Models; D008297:Male; D018895:Microsatellite Repeats; D009367:Neoplasm Staging; D011237:Predictive Value of Tests
chemical_list: D019394:Ki-67 Antigen