臨床的に口腔潜在的悪性疾患と診断された病変から、早期癌を検出するDNAメチル化を指標とした検査法

• Material Type: 博士論文
• Title: 臨床的に口腔潜在的悪性疾患と診断された病変から、早期癌を検出するDNAメチル化を指標とした検査法
• Author/Editor: 森, 和樹
• Author Heading: 森, 和樹 モリ, カズキ
• Publication, Distribution, etc.: MDPI
• Alternative Title: Detecting Early-Stage Oral Cancer from Clinically Diagnosed Oral Potentially Malignant Disorders by DNA Methylation Profile
• Degree grantor/type: 鹿児島大学
• Date Granted: 2022-10-18
• Dissertation Number: 甲総研第674号
• Degree Type: 博士(歯学); Doctor of Philosophy in Dental Science
• Text Language Code: eng
• Subject Heading: oral cancer; oral squamous carcinoma; oral potentially malignant disorders; gargle fluid; DNA methylation; biomarker
• Target Audience: 一般
• Note (General): 博士論文全文, 博士論文要旨, 最終試験結果の要旨, 論文審査の要旨; Clinically, early-stage oral cancers are difficult to distinguish from oral potentially malignant disorders (OPMDs), and invasive tissue biopsy should be performed to determine a treatment strategy. Previously, we focused on gargle fluid as a noninvasive testing method and reported aberrant methylation in gargle fluid in patients with oral cancer. This study aimed to distinguish early-stage oral cancer from clinically diagnosed OPMDs using gargle fluid samples. We collected gargle fluid samples from 40 patients who were clinically diagnosed with OPMDs in the training set; among them, 9 patients were pathologically diagnosed with oral cancer. Methylation levels of 25 tumor suppressor genes were analyzed using the methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA) method. We found that a combination of six genes (TP73, CASP8, RARB, KLLN, GSTP1, and CHFR) could distinguish oral cancer from clinically diagnosed OPMDs with high diagnostic performance (area under the curve [AUC], 0.885; sensitivity, 77.8%; and specificity, 87.1%). Additionally, the panel comprised of the six methylated genes was validated in the test set. Furthermore, when compared with cytology testing, the panel could accurately detect oral cancer. The present methylated gene panel may serve as a novel biomarker for oral cancer. Kazuki Mori, Tomofumi Hamada, Mahiro Beppu, Hiroki Tsuchihashi, Yuichi Goto, Kenichi Kume, Hiroshi Hijioka, Keitaro Nishi, Yumiko Mishima and Tsuyoshi Sugiura Detecting Early-Stage Oral Cancer from Clinically Diagnosed Oral Potentially Malignant Disorders by DNA Methylation Profile Cancers 2022, 14(11), 2646 https://doi.org/10.3390/cancers14112646
• Format (IMT): application/pdf
• Access Restrictions: インターネット公開
• Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）; https://irdb.nii.ac.jp
• Original Data Provider (Database): 鹿児島大学 : 鹿児島大学リポジトリ

Table of Contents

Result_MORI_Kazuki_isk_674 other

Comments_MORI_Kazuki_isk_674 other

Diss_森_和樹_ISK674_2022 fulltext

Abstract_森_和樹_4518810389_2022 abstract