High-throughput scanning of breast tumor surgical specimens for low-level mutations

Abstract

Large numbers of mutations are postulated to occur as early events in carcinogenesis. For certain types of human tumors (mutator phenotypes) these mutations can be a driving force in generating clonogenic, causative genetic changes leading to multistage carcinogenesis. These low-level mutational events are highly significant due to their potential use as molecular markers for early identification of genomic instability that can lead to cancer and to their potential influence on the ability of tumors to resist drug treatment and/or metastasize. Detecting the presence and diversity of such genetic changes in human tumors is desirable due to their potential prognostic value. However, identification of these low-frequency genetic changes is difficult, since most mutations exist at mutant/wild-type ratios of <10(-3). We recently developed inverse PCR-based amplified restriction fragment-length polymorphism (iFLP), a new technology that combines inverse PCR, RFLP, and denaturing HPLC to allow scanning of the genome at several thousand positions per experiment for low-level point mutations. Using iFLP we previously demonstrated low-level mutations (mutation frequency <10(-3)) in human colon cancer cells that harbor mismatch repair deficiency and in sporadic colon cancer surgical specimens. In the present work we investigated whether low-level mutations are also present in sporadic breast cancer surgical specimens. Using iFLP we identified widespread low-level mutations in two out of ten surgical specimens examined (20%). Examination of the microsatellite instability status of these samples demonstrated that the samples are stable (MSI-S). We conclude that low-level mutations are less frequent in breast cancer than in colon cancer; however, single nucleotide instability that generates such mutations may still be present in a fraction of breast cancers.