Pan-cancer methylome analysis for cancer diagnosis and classification of cancer cell of origin

被引:0
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作者
Dai Shimizu
Kenzui Taniue
Yusuke Matsui
Hiroshi Haeno
Hiromitsu Araki
Fumihito Miura
Mitsuko Fukunaga
Kenji Shiraishi
Yuji Miyamoto
Seiichi Tsukamoto
Aya Komine
Yuta Kobayashi
Akihiro Kitagawa
Yukihiro Yoshikawa
Kuniaki Sato
Tomoko Saito
Shuhei Ito
Takaaki Masuda
Atsushi Niida
Makoto Suzuki
Hideo Baba
Takashi Ito
Nobuyoshi Akimitsu
Yasuhiro Kodera
Koshi Mimori
机构
[1] Nagoya University Graduate School of Medicine,Department of Gastroenterological Surgery (Surgery II)
[2] Kyushu University Beppu Hospital,Department of Surgery
[3] The University of Tokyo,Isotope Science Center
[4] Genomedia Inc.,Biomedical and Health Informatics Unit, Department of Integrated Health Science
[5] Nagoya University Graduate School of Medicine,Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences
[6] The University of Tokyo,Department of Biochemistry
[7] Kyushu University Graduate School of Medical Sciences,Department of Thoracic Surgery
[8] Coloproctology Center Takano Hospital,Department of Gastroenterological Surgery, Graduate School of Medical Sciences
[9] Kumamoto University Hospital,Department of Gastroenterological Surgery, Graduate School of Medicine
[10] Kumamoto University,Department of Head and Neck Surgery
[11] Osaka University,Department of Gastroenterology, Faculty of Medicine
[12] National Hospital Organization Kyushu Cancer Center,Human Genome Center
[13] Oita University,undefined
[14] Institute of Medical Science,undefined
[15] University of Tokyo,undefined
来源
Cancer Gene Therapy | 2022年 / 29卷
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摘要
The accurate and early diagnosis and classification of cancer origin from either tissue or liquid biopsy is crucial for selecting the appropriate treatment and reducing cancer-related mortality. Here, we established the CAncer Cell-of-Origin (CACO) methylation panel using the methylation data of the 28 types of cancer in The Cancer Genome Atlas (7950 patients and 707 normal controls) as well as healthy whole blood samples (95 subjects). We showed that the CACO methylation panel had high diagnostic potential with high sensitivity and specificity in the discovery (maximum AUC = 0.998) and validation (maximum AUC = 1.000) cohorts. Moreover, we confirmed that the CACO methylation panel could identify the cancer cell type of origin using the methylation profile from liquid as well as tissue biopsy, including primary, metastatic, and multiregional cancer samples and cancer of unknown primary, independent of the methylation analysis platform and specimen preparation method. Together, the CACO methylation panel can be a powerful tool for the classification and diagnosis of cancer.
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页码:428 / 436
页数:8
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