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Toyohara Y, Sone K, Noda K, Yoshida K, Kato S, Kaiume M, Taguchi A, Kurokawa R, Osuga Y. The automatic diagnosis artificial intelligence system for preoperative magnetic resonance imaging of uterine sarcoma. J Gynecol Oncol 2024; 35:e24. [PMID: 38246183 PMCID: PMC11107276 DOI: 10.3802/jgo.2024.35.e24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 10/12/2023] [Accepted: 10/26/2023] [Indexed: 01/23/2024] Open
Abstract
OBJECTIVE Magnetic resonance imaging (MRI) is efficient for the diagnosis of preoperative uterine sarcoma; however, misdiagnoses may occur. In this study, we developed a new artificial intelligence (AI) system to overcome the limitations of requiring specialists to manually process datasets and a large amount of computer resources. METHODS The AI system comprises a tumor image filter, which extracts MRI slices containing tumors, and sarcoma evaluator, which diagnoses uterine sarcomas. We used 15 types of MRI patient sequences to train deep neural network (DNN) models used by tumor filter and sarcoma evaluator with 8 cross-validation sets. We implemented tumor filter and sarcoma evaluator using ensemble prediction technique with 9 DNN models. Ten tumor filters and sarcoma evaluator sets were developed to evaluate fluctuation accuracy. Finally, AutoDiag-AI was used to evaluate the new validation dataset, including 8 cases of sarcomas and 24 leiomyomas. RESULTS Tumor image filter and sarcoma evaluator accuracies were 92.68% and 90.50%, respectively. AutoDiag-AI with the original dataset accuracy was 89.32%, with 90.47% sensitivity and 88.95% specificity, whereas AutoDiag-AI with the new validation dataset accuracy was 92.44%, with 92.25% sensitivity and 92.50% specificity. CONCLUSION Our newly established AI system automatically extracts tumor sites from MRI images and diagnoses them as uterine sarcomas without human intervention. Its accuracy is comparable to that of a radiologist. With further validation, the system could be applied for diagnosis of other diseases. Further improvement of the system's accuracy may enable its clinical application in the future.
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Affiliation(s)
- Yusuke Toyohara
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kenbun Sone
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | | | | | - Shimpei Kato
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Masafumi Kaiume
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Ayumi Taguchi
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Ryo Kurokawa
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yutaka Osuga
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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2
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Inoue F, Sone K, Kumegawa K, Hachijo R, Suzuki E, Tanimoto S, Tsuboyama N, Kato K, Toyohara Y, Takahashi Y, Kusakabe M, Kukita A, Honjoh H, Nishijima A, Taguchi A, Miyamoto Y, Tanikawa M, Iriyama T, Mori M, Wada-Hiraike O, Oda K, Suzuki H, Maruyama R, Osuga Y. Inhibition of protein arginine methyltransferase 6 activates interferon signaling and induces the apoptosis of endometrial cancer cells via histone modification. Int J Oncol 2024; 64:32. [PMID: 38299254 PMCID: PMC10836505 DOI: 10.3892/ijo.2024.5620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 10/10/2023] [Indexed: 02/02/2024] Open
Abstract
Histone modification, a major epigenetic mechanism regulating gene expression through chromatin remodeling, introduces dynamic changes in chromatin architecture. Protein arginine methyltransferase 6 (PRMT6) is overexpressed in various types of cancer, including prostate, lung and endometrial cancer (EC). Epigenome regulates the expression of endogenous retrovirus (ERV), which activates interferon signaling related to cancer. The antitumor effects of PRMT6 inhibition and the role of PRMT6 in EC were investigated, using epigenome multi‑omics analysis, including an assay for chromatin immunoprecipitation sequencing (ChIP‑seq) and RNA sequencing (RNA‑seq). The expression of PRMT6 in EC was analyzed using reverse transcription‑quantitative polymerase chain reaction (RT‑qPCR) and immunohistochemistry (IHC). The prognostic impact of PRMT6 expression was evaluated using IHC. The effects of PRMT6‑knockdown (KD) were investigated using cell viability and apoptosis assays, as well as its effects on the epigenome, using ChIP‑seq of H3K27ac antibodies and RNA‑seq. Finally, the downstream targets identified by multi‑omics analysis were evaluated. PRMT6 was overexpressed in EC and associated with a poor prognosis. PRMT6‑KD induced histone hypomethylation, while suppressing cell growth and apoptosis. ChIP‑seq revealed that PRMT6 regulated genomic regions related to interferons and apoptosis through histone modifications. The RNA‑seq data demonstrated altered interferon‑related pathways and increased expression of tumor suppressor genes, including NK6 homeobox 1 and phosphoinositide‑3‑kinase regulatory subunit 1, following PRMT6‑KD. RT‑qPCR revealed that eight ERV genes which activated interferon signaling were upregulated by PRMT6‑KD. The data of the present study suggested that PRMT6 inhibition induced apoptosis through interferon signaling activated by ERV. PRMT6 regulated tumor suppressor genes and may be a novel therapeutic target, to the best of our knowledge, in EC.
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Affiliation(s)
- Futaba Inoue
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Kenbun Sone
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Kohei Kumegawa
- Cancer Cell Diversity Project, NEXT-Ganken Program, Japanese Foundation for Cancer Research, Tokyo 135-8550, Japan
| | - Ryuta Hachijo
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Eri Suzuki
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Saki Tanimoto
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Natsumi Tsuboyama
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Kosuke Kato
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Yusuke Toyohara
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Yu Takahashi
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Misako Kusakabe
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Asako Kukita
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Harunori Honjoh
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Akira Nishijima
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Ayumi Taguchi
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Yuichiro Miyamoto
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Michihiro Tanikawa
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Takayuki Iriyama
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Mayuyo Mori
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Osamu Wada-Hiraike
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Katsutoshi Oda
- Division of Integrative Genomics, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Hiromu Suzuki
- Department of Molecular Biology, Sapporo Medical University School of Medicine, Sapporo 060-8556, Japan
| | - Reo Maruyama
- Cancer Cell Diversity Project, NEXT-Ganken Program, Japanese Foundation for Cancer Research, Tokyo 135-8550, Japan
- Project for Cancer Epigenomics, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo 135-8550, Japan
| | - Yutaka Osuga
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
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3
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Toyohara Y, Taguchi A, Ishii Y, Yoshimoto D, Yamazaki M, Matsunaga H, Nakatani K, Hoshi D, Tsuchimochi S, Kusakabe M, Baba S, Kawata A, Ikemura M, Tanikawa M, Sone K, Uchino‐Mori M, Ushiku T, Takeyama H, Oda K, Kawana K, Hippo Y, Osuga Y. Identification of target cells of human papillomavirus 18 using squamocolumnar junction organoids. Cancer Sci 2024; 115:125-138. [PMID: 37996972 PMCID: PMC10823277 DOI: 10.1111/cas.15988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 09/19/2023] [Accepted: 09/22/2023] [Indexed: 11/25/2023] Open
Abstract
Human papillomavirus 18 (HPV18) is a highly malignant HPV genotype among high-risk HPVs, characterized by the difficulty of detecting it in precancerous lesions and its high prevalence in adenocarcinomas. The cellular targets and molecular mechanisms underlying its infection remain unclear. In this study, we aimed to identify the cells targeted by HPV18 and elucidate the molecular mechanisms underlying HPV18 replication. Initially, we established a lentiviral vector (HPV18LCR-GFP vector) containing the HPV18 long control region promoter located upstream of EGFP. Subsequently, HPV18LCR-GFP vectors were transduced into patient-derived squamocolumnar junction organoids, and the presence of GFP-positive cells was evaluated. Single-cell RNA sequencing of GFP-positive and GFP-negative cells was conducted. Differentially expressed gene analysis revealed that 169 and 484 genes were significantly upregulated in GFP-positive and GFP-negative cells, respectively. Pathway analysis showed that pathways associated with cell cycle and viral carcinogenesis were upregulated in GFP-positive cells, whereas keratinization and mitophagy/autophagy-related pathways were upregulated in GFP-negative cells. siRNA-mediated luciferase reporter assay and HPV18 genome replication assay validated that, among the upregulated genes, ADNP, FHL2, and NPM3 were significantly associated with the activation of the HPV18 early promoter and maintenance of the HPV18 genome. Among them, NPM3 showed substantially higher expression in HPV-related cervical adenocarcinomas than in squamous cell carcinomas, and NPM3 knockdown of HPV18-infected cells downregulated stem cell-related genes. Our new experimental model allows us to identify novel genes involved in HPV18 early promoter activities. These molecules might serve as therapeutic targets in HPV18-infected cervical lesions.
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Affiliation(s)
- Yusuke Toyohara
- Department of Obstetrics and Gynecology, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Ayumi Taguchi
- Department of Obstetrics and Gynecology, Graduate School of MedicineThe University of TokyoTokyoJapan
- Laboratory of Human Single Cell Immunology, World Premier International Immunology Frontier Research Center (WPI‐IFReC)Osaka UniversitySuitaJapan
| | - Yoshiyuki Ishii
- Pathogen Genomics CenterNational Institute of Infectious DiseasesTokyoJapan
| | - Daisuke Yoshimoto
- Department of Obstetrics and Gynecology, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Miki Yamazaki
- Department of Life Science and Medical BioscienceWaseda UniversityTokyoJapan
- Computational Bio Big‐Data Open Innovation LaboratoryAIST‐Waseda UniversityTokyoJapan
| | - Hiroko Matsunaga
- Research organization for Nano and Life InnovationWaseda UniversityTokyoJapan
| | - Kazuma Nakatani
- Department of Molecular CarcinogenesisChiba Cancer Center Research InstituteChibaJapan
| | - Daisuke Hoshi
- Department of Oncologic PathologyKanazawa Medical UniversityUchinadaJapan
| | - Saki Tsuchimochi
- Department of Obstetrics and Gynecology, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Misako Kusakabe
- Department of Obstetrics and Gynecology, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Satoshi Baba
- Department of Obstetrics and Gynecology, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Akira Kawata
- Department of Obstetrics and Gynecology, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Masako Ikemura
- Department of Pathology, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Michihiro Tanikawa
- Department of Obstetrics and Gynecology, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Kenbun Sone
- Department of Obstetrics and Gynecology, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Mayuyo Uchino‐Mori
- Department of Obstetrics and Gynecology, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Tetsuo Ushiku
- Department of Pathology, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Haruko Takeyama
- Department of Life Science and Medical BioscienceWaseda UniversityTokyoJapan
- Computational Bio Big‐Data Open Innovation LaboratoryAIST‐Waseda UniversityTokyoJapan
- Research organization for Nano and Life InnovationWaseda UniversityTokyoJapan
- Institute for Advanced Research of Biosystem Dynamics, Waseda Research Institute for Science and EngineeringWaseda UniversityTokyoJapan
| | - Katsutoshi Oda
- Department of Integrative Genomics, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Kei Kawana
- Department of Obstetrics and GynecologyNihon University School of MedicineTokyoJapan
| | - Yoshitaka Hippo
- Department of Molecular CarcinogenesisChiba Cancer Center Research InstituteChibaJapan
| | - Yutaka Osuga
- Department of Obstetrics and Gynecology, Graduate School of MedicineThe University of TokyoTokyoJapan
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4
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Sone K, Tanimoto S, Toyohara Y, Taguchi A, Miyamoto Y, Mori M, Iriyama T, Wada-Hiraike O, Osuga Y. Evolution of a surgical system using deep learning in minimally invasive surgery (Review). Biomed Rep 2023; 19:45. [PMID: 37324165 PMCID: PMC10265572 DOI: 10.3892/br.2023.1628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 03/31/2023] [Indexed: 06/17/2023] Open
Abstract
Recently, artificial intelligence (AI) has been applied in various fields due to the development of new learning methods, such as deep learning, and the marked progress in computational processing speed. AI is also being applied in the medical field for medical image recognition and omics analysis of genomes and other data. Recently, AI applications for videos of minimally invasive surgeries have also advanced, and studies on such applications are increasing. In the present review, studies that focused on the following topics were selected: i) Organ and anatomy identification, ii) instrument identification, iii) procedure and surgical phase recognition, iv) surgery-time prediction, v) identification of an appropriate incision line, and vi) surgical education. The development of autonomous surgical robots is also progressing, with the Smart Tissue Autonomous Robot (STAR) and RAVEN systems being the most reported developments. STAR, in particular, is currently being used in laparoscopic imaging to recognize the surgical site from laparoscopic images and is in the process of establishing an automated suturing system, albeit in animal experiments. The present review examined the possibility of fully autonomous surgical robots in the future.
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Affiliation(s)
- Kenbun Sone
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Saki Tanimoto
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Yusuke Toyohara
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Ayumi Taguchi
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Yuichiro Miyamoto
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Mayuyo Mori
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Takayuki Iriyama
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Osamu Wada-Hiraike
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Yutaka Osuga
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
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5
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Kusakabe M, Taguchi A, Tanikawa M, Wagatsuma R, Yamazaki M, Tsuchimochi S, Toyohara Y, Kawata A, Baba S, Ueno T, Sone K, Mori-Uchino M, Ikemura M, Matsunaga H, Nagamatsu T, Wada-Hiraike O, Kawazu M, Ushiku T, Takeyama H, Oda K, Kawana K, Mano H, Osuga Y. Cells with stem-like properties are associated with the development of HPV18-positive cervical cancer. Cancer Sci 2023; 114:885-895. [PMID: 36404139 PMCID: PMC9986059 DOI: 10.1111/cas.15664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/22/2022] [Accepted: 11/15/2022] [Indexed: 11/22/2022] Open
Abstract
The cellular origins of cervical cancer and the histological differentiation of human papillomavirus (HPV)-infected cells remain unexplained. To gain new insights into the carcinogenesis and histological differentiation of HPV-associated cervical cancer, we focused on cervical cancer with mixed histological types. We conducted genomic and transcriptomic analyses of cervical cancers with mixed histological types. The commonality of the cellular origins of these cancers was inferred using phylogenetic analysis and by assessing the HPV integration sites. Carcinogenesis was estimated by analyzing human gene expression profiles in different histological types. Among 42 cervical cancers with known HPV types, mixed histological types were detected in four cases, and three of them were HPV18-positive. Phylogenetic analysis of these three cases revealed that the different histological types had a common cell of origin. Moreover, the HPV-derived transcriptome and HPV integration sites were common among different histological types, suggesting that HPV integration could occur before differentiation into each histological type. Human gene expression profiles indicated that HPV18-positive cancer retained immunologically cold components with stem cell properties. Mixed cervical cancer has a common cellular origin among different histological types, and progenitor cells with stem-like properties may be associated with the development of HPV18-positive cervical cancer.
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Affiliation(s)
- Misako Kusakabe
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Ayumi Taguchi
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Michihiro Tanikawa
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Ryota Wagatsuma
- Department of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.,CBBD-OIL, AIST-Waseda University, Tokyo, Japan
| | - Miki Yamazaki
- Department of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.,CBBD-OIL, AIST-Waseda University, Tokyo, Japan
| | - Saki Tsuchimochi
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yusuke Toyohara
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Akira Kawata
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Satoshi Baba
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Toshihide Ueno
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan
| | - Kenbun Sone
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Mayuyo Mori-Uchino
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Masako Ikemura
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hiroko Matsunaga
- Research Organization for Nano and Life Innovation, Waseda University, Tokyo, Japan
| | - Takeshi Nagamatsu
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Osamu Wada-Hiraike
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Masahito Kawazu
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan
| | - Tetsuo Ushiku
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Haruko Takeyama
- Department of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.,CBBD-OIL, AIST-Waseda University, Tokyo, Japan.,Research Organization for Nano and Life Innovation, Waseda University, Tokyo, Japan.,Institute for Advanced Research of Biosystem Dynamics, Waseda Research Institute for Science and Engineering, Waseda University, Tokyo, Japan
| | - Katsutoshi Oda
- Division of Integrative Genomics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kei Kawana
- Department of Obstetrics and Gynecology, Nihon University School of medicine, Tokyo, Japan
| | - Hiroyuki Mano
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan
| | - Yutaka Osuga
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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6
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Kusakabe M, Taguchi A, Tanikawa M, Hoshi D, Tsuchimochi S, Qian X, Toyohara Y, Kawata A, Wagatsuma R, Yamaguchi K, Yamamoto Y, Ikemura M, Sone K, Mori-Uchino M, Matsunaga H, Tsuruga T, Nagamatsu T, Kukimoto I, Wada-Hiraike O, Kawazu M, Ushiku T, Takeyama H, Oda K, Kawana K, Hippo Y, Osuga Y. Application of organoid culture from HPV18-positive small cell carcinoma of the uterine cervix for precision medicine. Cancer Med 2023; 12:8476-8489. [PMID: 36691316 PMCID: PMC10134306 DOI: 10.1002/cam4.5588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 11/27/2022] [Accepted: 12/17/2022] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Small cell carcinoma of the uterine cervix (SCCC) is a rare and highly malignant human papillomavirus (HPV)-associated cancer in which human genes related to the integration site can serve as a target for precision medicine. The aim of our study was to establish a workflow for precision medicine of HPV-associated cancer using patient-derived organoid. METHODS Organoid was established from the biopsy of a patient diagnosed with HPV18-positive SCCC. Therapeutic targets were identified by whole exome sequencing (WES) and RNA-seq analysis. Drug sensitivity testing was performed using organoids and organoid-derived mouse xenograft model. RESULTS WES revealed that both the original tumor and organoid had 19 somatic variants in common, including the KRAS p.G12D pathogenic variant. Meanwhile, RNA-seq revealed that HPV18 was integrated into chromosome 8 at 8q24.21 with increased expression of the proto-oncogene MYC. Drug sensitivity testing revealed that a KRAS pathway inhibitor exerted strong anti-cancer effects on the SCCC organoid compared to a MYC inhibitor, which were also confirmed in the xenograft model. CONCLUSION In this study, we confirmed two strategies for identifying therapeutic targets of HPV-derived SCCC, WES for identifying pathogenic variants and RNA sequencing for identifying HPV integration sites. Organoid culture is an effective tool for unveiling the oncogenic process of rare tumors and can be a breakthrough for the development of precision medicine for patients with HPV-positive SCCC.
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Affiliation(s)
- Misako Kusakabe
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Ayumi Taguchi
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Michihiro Tanikawa
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Daisuke Hoshi
- Department of Molecular Carcinogenesis, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Saki Tsuchimochi
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Xi Qian
- Division of Integrative Genomics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yusuke Toyohara
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Akira Kawata
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Ryota Wagatsuma
- Department of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.,CBBD-OIL, AIST-Waseda University, Tokyo, Japan
| | - Kohei Yamaguchi
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yoko Yamamoto
- Department of Surgical Oncology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Masako Ikemura
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kenbun Sone
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Mayuyo Mori-Uchino
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hiroko Matsunaga
- Research Organization for Nano and Life Innovation, Waseda University, Tokyo, Japan
| | - Tetsushi Tsuruga
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Takeshi Nagamatsu
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Iwao Kukimoto
- Pathogen Genomics Center, National Institute of Infectious Diseases, Tokyo, Japan
| | - Osamu Wada-Hiraike
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Masahito Kawazu
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan
| | - Tetsuo Ushiku
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Haruko Takeyama
- Department of Life Science and Medical Bioscience, Waseda University, Tokyo, Japan.,CBBD-OIL, AIST-Waseda University, Tokyo, Japan.,Research Organization for Nano and Life Innovation, Waseda University, Tokyo, Japan.,Institute for Advanced Research of Biosystem Dynamics, Waseda Research Institute for Science and Engineering, Waseda University, Tokyo, Japan
| | - Katsutoshi Oda
- Division of Integrative Genomics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kei Kawana
- Department of Obstetrics and Gynecology, Nihon University School of Medicine, Tokyo, Japan
| | - Yoshitaka Hippo
- Department of Molecular Carcinogenesis, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Yutaka Osuga
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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7
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Kukita A, Sone K, Kaneko S, Kawakami E, Oki S, Kojima M, Wada M, Toyohara Y, Takahashi Y, Inoue F, Tanimoto S, Taguchi A, Fukuda T, Miyamoto Y, Tanikawa M, Mori-Uchino M, Tsuruga T, Iriyama T, Matsumoto Y, Nagasaka K, Wada-Hiraike O, Oda K, Hamamoto R, Osuga Y. The Histone Methyltransferase SETD8 Regulates the Expression of Tumor Suppressor Genes via H4K20 Methylation and the p53 Signaling Pathway in Endometrial Cancer Cells. Cancers (Basel) 2022; 14:5367. [PMID: 36358786 PMCID: PMC9655767 DOI: 10.3390/cancers14215367] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 10/20/2022] [Accepted: 10/21/2022] [Indexed: 08/01/2023] Open
Abstract
The histone methyltransferase SET domain-containing protein 8 (SETD8), which methylates histone H4 lysine 20 (H4K20) and non-histone proteins such as p53, plays key roles in human carcinogenesis. Our aim was to determine the involvement of SETD8 in endometrial cancer and its therapeutic potential and identify the downstream genes regulated by SETD8 via H4K20 methylation and the p53 signaling pathway. We examined the expression profile of SETD8 and evaluated whether SETD8 plays a critical role in the proliferation of endometrial cancer cells using small interfering RNAs (siRNAs). We identified the prognostically important genes regulated by SETD8 via H4K20 methylation and p53 signaling using chromatin immunoprecipitation sequencing, RNA sequencing, and machine learning. We confirmed that SETD8 expression was elevated in endometrial cancer tissues. Our in vitro results suggest that the suppression of SETD8 using siRNA or a selective inhibitor attenuated cell proliferation and promoted the apoptosis of endometrial cancer cells. In these cells, SETD8 regulates genes via H4K20 methylation and the p53 signaling pathway. We also identified the prognostically important genes related to apoptosis, such as those encoding KIAA1324 and TP73, in endometrial cancer. SETD8 is an important gene for carcinogenesis and progression of endometrial cancer via H4K20 methylation.
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Affiliation(s)
- Asako Kukita
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Kenbun Sone
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Syuzo Kaneko
- Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo 104-0045, Japan
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo 103-0027, Japan
| | - Eiryo Kawakami
- Graduate School of Medicine, Chiba University, Chiba 263-8522, Japan
| | - Shinya Oki
- National Hospital Organization Tokyo Medical Center, Tokyo 152-8902, Japan
| | - Machiko Kojima
- Tazuke Kofukai, Medical Research Institute, Kitano Hospital, Osaka 530-8480, Japan
| | - Miku Wada
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Yusuke Toyohara
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Yu Takahashi
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Futaba Inoue
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Saki Tanimoto
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Ayumi Taguchi
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Tomohiko Fukuda
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Yuichiro Miyamoto
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Michihiro Tanikawa
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Mayuyo Mori-Uchino
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Tetsushi Tsuruga
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Takayuki Iriyama
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Yoko Matsumoto
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Kazunori Nagasaka
- Department of Obstetrics and Gynecology, Teikyo University School of Medicine, Tokyo 173-0003, Japan
| | - Osamu Wada-Hiraike
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Katsutoshi Oda
- Division of Integrated Genomics, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Ryuji Hamamoto
- Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo 104-0045, Japan
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo 103-0027, Japan
| | - Yutaka Osuga
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
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Inoue F, Sone K, Toyohara Y, Tanimoto S, Takahashi Y, Kusakabe M, Kukita A, Honjoh H, Nishijima A, Taguchi A, Miyamoto Y, Tanikawa M, Iriyama T, Uchino MM, Tsuruga T, Wada-Hiraike O, Oda K, Osuga Y. Histone arginine methyltransferase CARM1 selective inhibitor TP-064 induces apoptosis in endometrial cancer. Biochem Biophys Res Commun 2022; 601:123-128. [PMID: 35245741 DOI: 10.1016/j.bbrc.2022.02.086] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 02/22/2022] [Indexed: 12/11/2022]
Abstract
Histone modification is the key epigenetic mechanism that regulates gene expression. Coactivator-associated arginine methyltransferase 1 (CARM1) is an arginine methyltransferase that catalyzes dimethylation of histone H3 (H3R17) at arginine 17. Lately, it has been suggested that CARM1 is associated with human carcinogenesis, and the CARM1-selective inhibitor, TP-064, has been shown to be a potential therapeutic agent for multiple myeloma. However, the physiological significance of CARM1 in endometrial cancer remains unclear. Therefore, we aimed to explore the role of CARM1 and the effect of TP-064 in endometrial cancer. To this end, we analyzed CARM1 expression in endometrial cancer using quantitative real-time polymerase chain reaction and examined the antitumor mechanism with CARM1 knockdown endometrial cancer cells. Moreover, we evaluated the therapeutic capability of TP-064 in endometrial cancer cells. CARM1 was remarkably overexpressed in 52 endometrial cancer tissues compared to normal endometrial tissues. The growth of CARM1 knockdown endometrial cancer cells was suppressed and CARM1 knockdown induced apoptosis. TP-064 also inhibited endometrial cancer cell growth and declined the number of endometrial cancer cell colonies. These data suggest that CARM1 may be a powerful therapeutic target for endometrial cancer.
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Affiliation(s)
- Futaba Inoue
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Kenbun Sone
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan.
| | - Yusuke Toyohara
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Saki Tanimoto
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Yu Takahashi
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Misako Kusakabe
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Asako Kukita
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Harunori Honjoh
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Akira Nishijima
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Ayumi Taguchi
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Yuichiro Miyamoto
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Michihiro Tanikawa
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Takayuki Iriyama
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Mayuyo-Mori Uchino
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Tetsushi Tsuruga
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Osamu Wada-Hiraike
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Katsutoshi Oda
- Division of Integrated Genomics, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Yutaka Osuga
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
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Sone K, Toyohara Y, Taguchi A, Miyamoto Y, Tanikawa M, Uchino-Mori M, Iriyama T, Tsuruga T, Osuga Y. Application of artificial intelligence in gynecologic malignancies: A review. J Obstet Gynaecol Res 2021; 47:2577-2585. [PMID: 33973305 DOI: 10.1111/jog.14818] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 04/25/2021] [Indexed: 12/28/2022]
Abstract
With the development of machine learning and deep learning models, artificial intelligence is now being applied to the field of medicine. In oncology, the use of artificial intelligence for the diagnostic evaluation of medical images such as radiographic images, omics analysis using genome data, and clinical information has been increasing in recent years. There have been increasing numbers of reports on the use of artificial intelligence in the field of gynecologic malignancies, and we introduce and review these studies. For cervical and endometrial cancers, the evaluation of medical images, such as colposcopy, hysteroscopy, and magnetic resonance images, using artificial intelligence is frequently reported. In ovarian cancer, many reports combine the assessment of medical images with the multi-omics analysis of clinical and genomic data using artificial intelligence. However, few study results can be implemented in clinical practice, and further research is needed in the future.
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Affiliation(s)
- Kenbun Sone
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yusuke Toyohara
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Ayumi Taguchi
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yuichiro Miyamoto
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Michihiro Tanikawa
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Mayuyo Uchino-Mori
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Takayuki Iriyama
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tetsushi Tsuruga
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yutaka Osuga
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
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Takahashi Y, Sone K, Noda K, Yoshida K, Toyohara Y, Kato K, Inoue F, Kukita A, Taguchi A, Nishida H, Miyamoto Y, Tanikawa M, Tsuruga T, Iriyama T, Nagasaka K, Matsumoto Y, Hirota Y, Hiraike-Wada O, Oda K, Maruyama M, Osuga Y, Fujii T. Automated system for diagnosing endometrial cancer by adopting deep-learning technology in hysteroscopy. PLoS One 2021; 16:e0248526. [PMID: 33788887 PMCID: PMC8011803 DOI: 10.1371/journal.pone.0248526] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 02/27/2021] [Indexed: 02/07/2023] Open
Abstract
Endometrial cancer is a ubiquitous gynecological disease with increasing global incidence. Therefore, despite the lack of an established screening technique to date, early diagnosis of endometrial cancer assumes critical importance. This paper presents an artificial-intelligence-based system to detect the regions affected by endometrial cancer automatically from hysteroscopic images. In this study, 177 patients (60 with normal endometrium, 21 with uterine myoma, 60 with endometrial polyp, 15 with atypical endometrial hyperplasia, and 21 with endometrial cancer) with a history of hysteroscopy were recruited. Machine-learning techniques based on three popular deep neural network models were employed, and a continuity-analysis method was developed to enhance the accuracy of cancer diagnosis. Finally, we investigated if the accuracy could be improved by combining all the trained models. The results reveal that the diagnosis accuracy was approximately 80% (78.91–80.93%) when using the standard method, and it increased to 89% (83.94–89.13%) and exceeded 90% (i.e., 90.29%) when employing the proposed continuity analysis and combining the three neural networks, respectively. The corresponding sensitivity and specificity equaled 91.66% and 89.36%, respectively. These findings demonstrate the proposed method to be sufficient to facilitate timely diagnosis of endometrial cancer in the near future.
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Affiliation(s)
- Yu Takahashi
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kenbun Sone
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- * E-mail:
| | | | | | - Yusuke Toyohara
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kosuke Kato
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Futaba Inoue
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Asako Kukita
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Ayumi Taguchi
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Haruka Nishida
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yuichiro Miyamoto
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Michihiro Tanikawa
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tetsushi Tsuruga
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Takayuki Iriyama
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kazunori Nagasaka
- Department of Obstetrics and Gynecology, Teikyo University School of Medicine, Tokyo, Japan
| | - Yoko Matsumoto
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yasushi Hirota
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Osamu Hiraike-Wada
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Katsutoshi Oda
- Division of Integrative Genomics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | | | - Yutaka Osuga
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tomoyuki Fujii
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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Inoue F, Sone K, Toyohara Y, Takahashi Y, Kukita A, Hara A, Taguchi A, Tanikawa M, Tsuruga T, Osuga Y. Targeting Epigenetic Regulators for Endometrial Cancer Therapy: Its Molecular Biology and Potential Clinical Applications. Int J Mol Sci 2021; 22:2305. [PMID: 33669072 PMCID: PMC7956745 DOI: 10.3390/ijms22052305] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 02/09/2021] [Accepted: 02/20/2021] [Indexed: 12/26/2022] Open
Abstract
Endometrial cancer is one of the most frequently diagnosed gynecological malignancies worldwide. However, its prognosis in advanced stages is poor, and there are only few available treatment options when it recurs. Epigenetic changes in gene function, such as DNA methylation, histone modification, and non-coding RNA, have been studied for the last two decades. Epigenetic dysregulation is often reported in the development and progression of various cancers. Recently, epigenetic changes in endometrial cancer have also been discussed. In this review, we give the main points of the role of DNA methylation and histone modification in endometrial cancer, the diagnostic tools to determine these modifications, and inhibitors targeting epigenetic regulators that are currently in preclinical studies and clinical trials.
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Affiliation(s)
| | - Kenbun Sone
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo Bunkyo-ku, Tokyo 113-8655, Japan; (F.I.); (Y.T.); (Y.T.); (A.K.); (A.H.); (A.T.); (M.T.); (T.T.); (Y.O.)
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12
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Toyohara Y, Sone K, Nishida H, Taguchi A, Miyamoto Y, Tanikawa M, Mori M, Tsuruga T, Matsumoto Y, Oda K, Osuga Y, Fujii T. Desensitization strategy for hypersensitivity reactions to carboplatin in five patients with gynecological cancer. J Obstet Gynaecol Res 2020; 46:2298-2304. [PMID: 32830407 DOI: 10.1111/jog.14443] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Revised: 06/13/2020] [Accepted: 07/25/2020] [Indexed: 11/29/2022]
Abstract
AIM Carboplatin is a key drug for gynecologic cancers. However, hypersensitivity reactions (HSR) are major adverse effects that might necessitate carboplatin discontinuation. Desensitization is an effective method in patients who developed initial HSR and further required carboplatin treatment. Here, we aimed to evaluate our experience with the use of the carboplatin desensitization protocol in five patients at the University of Tokyo Hospital. METHODS We established a four-step, 5-h desensitization protocol for our hospital. Observational and retrospective analyses were performed. Additionally, we have shared the patients' clinical information with the emergency department to ensure the safety of this protocol. RESULTS Five patients with recurrent gynecological cancer were treated using this protocol. Four of the five patients were treated effectively and 28 of 29 desensitization protocols were completed successfully. In one patient, we switched to olaparib successfully after two courses of our protocol. One patient who developed grade 4 HSR during initial carboplatin administration developed grade 2 HSR and we discontinued the protocol. CONCLUSION The carboplatin desensitization protocol is very efficient. The outcome of our protocol was on a par with other protocols. To the best of our knowledge, this is the first study to indicate that switching to olaparib can be considered a suitable option in patients who develop HSR to carboplatin.
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Affiliation(s)
- Yusuke Toyohara
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kenbun Sone
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Haruka Nishida
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Ayumi Taguchi
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yuichiro Miyamoto
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Michihiro Tanikawa
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Mayuyo Mori
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tetsushi Tsuruga
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yoko Matsumoto
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Katsutoshi Oda
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yutaka Osuga
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tomoyuki Fujii
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
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