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[Cancer Research 64, 2544-2551, April 1, 2004]
© 2004 American Association for Cancer Research


Regular Articles

Inverse PCR-Based RFLP Scanning Identifies Low-Level Mutation Signatures in Colon Cells and Tumors

Wei-Hua Liu, Manjit Kaur, Gang Wang, Penny Zhu, Yuzhi Zhang and G. Mike Makrigiorgos

Department of Radiation Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts

Detecting the presence and diversity of low-level mutations in human tumors undergoing genomic instability is desirable due to their potential prognostic value and their putative influence on the ability of tumors to resist drug treatment and/or metastasize. However, direct measurement of these genetic alterations in surgical samples has been elusive, because technical hurdles make mutation discovery impractical at low-mutation frequency levels (<10–2). Here, we describe inverse PCR-based amplified restriction fragment length polymorphism (iFLP), a new technology that combines inverse PCR, RFLP, and denaturing high-performance liquid chromatography to allow scanning of the genome at several thousand positions per experiment for low-level point mutations. Using iFLP, widespread, low-level mutations at mutation frequency 10–2–10–4 were discovered in genes located on different chromosomes, e.g., OGG1, MSH2, PTEN, ß-catenin, Bcl-2, P21, ATK3, and Braf, in human colon cancer cells that harbor mismatch repair deficiency whereas mismatch repair-proficient cells were mutation free. Application of iFLP to the screening of sporadic colon cancer surgical specimens demonstrated widespread low-level mutations in seven out of 10 samples, but not in their normal tissue counterparts, and predicted the presence of millions of diverse, low-incidence mutations in tumors. Unique low-level mutational signatures were identified for each colon cancer cell line and tumor specimen. iFLP allows the high-throughput discovery and tracing of mutational signatures in human cells, precancerous lesions, and primary or metastatic tumors and the assessment of the number and heterogeneity of low-level mutations in surgical samples.




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HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Cancer Research Clinical Cancer Research
Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
Molecular Cancer Research Cancer Prevention Research
Cancer Prevention Journals Portal Cancer Reviews Online
Annual Meeting Education Book Meeting Abstracts Online
Copyright © 2004 by the American Association for Cancer Research.