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Frequency of Microsatellite Instability inBreast Cancer Determined by High-Resolution Fluorescent Microsatellite Analysis

Eriko Tokunaga, Eiji Oki, Shinya Oda, Akemi Kataoka, Kaoru Kitamura, Shinji Ohno, Yoshihiko Maehara, Keizō Sugimachi

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Abstract

In breast cancer, the rates of positivity for microsatellite instability (MSI), vary greatly in the literature. Using high-resolution fluorescent microsatellite analysis (HFRMA), we studied microsatellite alterations in 75 patients with sporadic breast cancer. In this system, several devices were prepared to improve reproducibility of polymerase chain reaction products, migration accuracy of electrophoresis, and characteristics of the detection system. Precise and objective analyses of microsatellite alterations are made feasible using HRFMA. Seven of the 75 cases were judged to be positive for MSI, the rate of positivity being 9. 3%. This rate is relatively low compared to the data in the literature. All the microsatellite changes observed in this system can be classified into two types: type A with relatively small changes in microsatellite sequences observed in limited loci and type B with drastic and widely dispersed changes. The former was thought to be connected to abnormal activity in DNA mismatch repair (MMR). Among the 7 cases, 6 (8.0%) had type A alterations, which means that the tumors may have an abnormal MMR activity. Application of precise and objective systems for microsatellite analysis is expected to be clinically useful to detect patients at high risk for cancers.

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What this paper is about

In breast cancer, the rates of positivity for microsatellite instability (MSI), vary greatly in the literature. Using high-resolution fluorescent microsatellite analysis (HFRMA), we studied microsatellite alterations in 75 patients with sporadic breast cancer. In this system, several devices were prepared to improve reproducibility of polymerase chain reaction products, migration accuracy of electrophoresis, and characteristics of the detection system. Precise and objective analyses of microsatellite alterations are made feasible using HRFMA. Seven of the 75 cases were judged to be positive for MSI, the rate of positivity being 9. 3%. This rate is relatively low compared to the data in the literature. All the microsatellite changes observed in this system can be classified into two types: type A with relatively small changes in microsatellite sequences observed in limited loci and type B with drastic and widely dispersed changes. The former was thought to be connected to abnormal activity in DNA mismatch repair (MMR). Among the 7 cases, 6 (8.0%) had type A alterations, which means that the tumors may have an abnormal MMR activity. Application of precise and objective systems for microsatellite analysis is expected to be clinically useful to detect patients at high risk for cancers.

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Available abstract

In breast cancer, the rates of positivity for microsatellite instability (MSI), vary greatly in the literature. Using high-resolution fluorescent microsatellite analysis (HFRMA), we studied microsatellite alterations in 75 patients with sporadic breast cancer. In this system, several devices were prepared to improve reproducibility of polymerase chain reaction products, migration accuracy of electrophoresis, and characteristics of the detection system. Precise and objective analyses of microsatellite alterations are made feasible using HRFMA. Seven of the 75 cases were judged to be positive for MSI, the rate of positivity being 9. 3%. This rate is relatively low compared to the data in the literature. All the microsatellite changes observed in this system can be classified into two types: type A with relatively small changes in microsatellite sequences observed in limited loci and type B with drastic and widely dispersed changes. The former was thought to be connected to abnormal activity in DNA mismatch repair (MMR). Among the 7 cases, 6 (8.0%) had type A alterations, which means that the tumors may have an abnormal MMR activity. Application of precise and objective systems for microsatellite analysis is expected to be clinically useful to detect patients at high risk for cancers.

Key concepts: Microsatellite instability, Microsatellite, Polymerase chain reaction, DNA mismatch repair, Biology, Breast cancer, Cancer, Cancer research

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Frequency of Microsatellite Instability inBreast Cancer Determined by High-Resolution Fluorescent Microsatellite Analysis — Research Paper | ScholarLens