DNA Mismatch Repair Deficiency in Breast Carcinoma

Recent studies have suggested that breast cancer is part of the tumor spectrum in Lynch syndrome (LS). However, the frequency and significance of DNA mismatch repair (MMR) deficiency in breast carcinoma in general is unclear. Some triple-negative breast carcinomas (TNBCs) have morphologic features similar to those described in LS-associated colorectal carcinomas; therefore, we hypothesized that TNBCs might be more likely to have MMR deficiency. In this study, we tested our hypothesis in a series of 226 TNBCs along with a control series of 90 non-triple-negative tumors, utilizing DNA MMR protein immunohistochemistry followed by PCR microsatellite instability testing and MLH1 promoter methylation testing. By immunohistochemistry, we identified 4 triple-negative carcinomas (4/226, 1.8%) showing loss of MMR proteins (3 lost MLH1 and PMS2, and 1 lost MSH2 and MSH6); whereas none of the 90 non-triple-negative carcinomas showed loss of protein. Further testing of the 3 MLH1/PMS2 protein-deficient carcinomas identified 1 tumor showing high-frequency microsatellite instability and MLH1 promoter hypermethylation. All 4 MMR protein-deficient carcinomas were ductal type with high histologic and nuclear grades. Prominent lymphocytic infiltration was noted in 2 tumors. The clinical characteristics and survival outcome varied widely among the 4 patients. In conclusion, our results suggest that DNA MMR deficiency is rare in breast carcinoma, and as such, testing of breast carcinoma for the detection of LS may best be restricted to high-risk individuals only. Our data also suggest that not all MMR protein-deficient breast tumors show microsatellite instability, and MLH1 promoter methylation is the molecular basis for at least a subset of microsatellite instable breast tumors. Although MMR-deficient breast carcinomas share certain morphologic features with the more typical types of LS-associated tumors, better characterization, and a better understanding of their clinical behavior await further analysis with a larger sample size.