@article {CHIKATANI4379, author = {KENICHI CHIKATANI and NORIYASU CHIKA and OKIHIDE SUZUKI and TAKEHIKO SAKIMOTO and KEIICHIRO ISHIBASHI and HIDETAKA EGUCHI and YASUSHI OKAZAKI and HIDEYUKI ISHIDA}, title = {A Model for Predicting DNA Mismatch Repair-deficient Colorectal Cancer}, volume = {40}, number = {8}, pages = {4379--4385}, year = {2020}, doi = {10.21873/anticanres.14441}, publisher = {International Institute of Anticancer Research}, abstract = {Background/Aim: Identifying patients with DNA mismatch repair-deficient (dMMR) colorectal cancer (CRC) is vital to improve treatment and identify patients with Lynch syndrome (LS). We developed a prediction model for dMMR CRC using clinicopathologic features. Patients and Methods: We reviewed the medical records of 1,147 patients who underwent resection of stage I-IV CRC in whom universal screening for LS using immunohistochemistry for MMR proteins had performed. Univariate and multivariate logistic regression analyses were used to build a prediction model of dMMR CRC. Results: The prevalence of dMMR CRC was 5.2\%. Age (>=75 years), tumor location (right-sided colon), main histologic features (poor differentiation), maximum tumor size (>=65 mm), and stage (I/II) were independent significant variables related to dMMR. We created a formula for predicting the likelihood of dMMR, and the probability ranged from 0.2\% to 83\%. Conclusion: dMMR CRC can be identified efficiently using clinicopathologic features obtained in daily clinical practice.}, issn = {0250-7005}, URL = {https://ar.iiarjournals.org/content/40/8/4379}, eprint = {https://ar.iiarjournals.org/content/40/8/4379.full.pdf}, journal = {Anticancer Research} }