4.4 Article

The Use of FNA Samples for Whole-Exome Sequencing and Detection of Somatic Mutations in Breast Cancer Surgical Specimens

期刊

CANCER CYTOPATHOLOGY
卷 123, 期 11, 页码 669-677

出版社

WILEY
DOI: 10.1002/cncy.21599

关键词

breast cancer; fine-needle aspiration; high-throughput DNA sequencing; mutation

资金

  1. National Research Foundation of Korea (NRF) - Korean government (Ministry of Science, Information/Communication Technology, and Future Planning) [2012M3A9B2028834]

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BACKGROUND: The availability of suitable biospecimens is critical to the success of advanced genomic analyses. The objective of this study was to assess the sensitivity of fine-needle aspiration (FNA) compared with gross surgical sampling (GSS) from surgical specimens for the detection of somatic mutations in breast cancer using whole-exome sequencing (WES). METHODS: DNA was extracted from paired GSS tissues and FNA samples of surgically resected breast cancer from 12 patients and was used for WES. Sanger sequencing was performed to validate selected somatic mutations. Tumor purity was calculated for each sample using sequencing data. RESULTS: There was no difference in the total amount of DNA extracted from GSS tissues and FNA samples. WES was successfully performed for all 12 pairs of samples. The median number of somatic mutations identified in individual samples was higher in FNA samples than in GSS tissues (39.5 vs 18.5; P = .036). The somatic mutation profiles from both sampling methods were well correlated for samples that had GSS tissues with high tumor content, as indicated by hematoxylin and eosin staining. Nineteen mutations that were identified exclusively in FNA samples were subjected to Sanger sequencing, and 13 of those mutations (68.4%) were validated. The mean estimated tumor purity was higher in FNA samples than in GSS tissues (55.87% vs 25.76%), and FNA samples were estimated to have a consistently higher proportion of malignant cells. CONCLUSIONS: The current results suggest that FNA is feasible for the collection of tumor samples sufficient for WES analysis and that the higher purity obtained using this method may make it more reliable for genomic studies. (C) 2015 American Cancer Society.

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