FFT法と領域法を組み合わせたDNA ploidy解析によるがん診断法の研究

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概要

• 論文の詳細を見る

• We have previously reported the initial results of applying the fast Fourier transform (FFT) method to DNA ploidy analysis using a flow cytometer, aiming to develop a device that supports the diagnosis of solid tumors. In the present study, the diagnostic accuracy was improved by further increasing the number of cases and introducing additional analyses using screening, the domain method, and a tree-based model. In screening, tissues displaying clear aneuploidy on the histograms obtained (primary histograms)(the address of the maximum peak on the primary histogram deviates greatly from 200) were judged to be cancer. For the remaining tissues, the primary histograms were normalized (by setting the address of the maximum peak to 200, and the height of the maximum peak to 1) and analyzed using the FFT method. In addition, normalized histograms were separated into domains based on the cell cycle, and the integrated values of these domains were determined. Tissues collected from 46 patients who underwent resection of colorectal cancer at the Cancer Institute Hospital of JFCR were analyzed. Each resected tissue was divided into two pieces;one piece was subjected to hematoxylin and eosin staining for pathological diagnosis, and the remaining piece was analyzed for DNA ploidy by preparing a cell suspension and staining the nuclei using an automatic cell isolation and staining system and freeze-dry reagent. All 17 cases identified as cancer during screening were subsequently diagnosed as cancer pathologically. By the FFT method, the sensitivity and specificity using the Slope value (Maxdif in previous studies) were higher than 90%. Using the integrated values of the S and G2/M domains in the histograms, the sensitivity and specificity were both approximately 85%. Sensitivity and specificity of ≥95% were obtained using a combination of the FFT and domain methods. Furthermore, when all the parameters were used to construct a tree-based model, the cases were accurately classified into cancer, suspected cancer, and normal. These results indicate the potential clinical utility of this method.

• 一般社団法人 日本生体医工学会の論文

著者

• 塩山 高広

  日本光電工業(株)

• 山口 俊晴

  がん研究会有明病院消化器外科

• 石川 雄一

  がん研究会がん研究所病理部

• 加藤 洋

  東京工科大学医療保健学部

• 日向 奈惠

  東京工科大学医療保健学部

• 神田 浩明

  がん研究会がん研究所

• 鈴木 あかね

  日本光電工業株式会社

• 武田 朴

  東京工科大学医療保健学部

• 山口 俊晴

  がん研究会有明病院

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