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Zeng X, Wang TW, Yamaguchi K, Hatakeyama S, Yamazaki S, Shimizu E, Imoto S, Furukawa Y, Johmura Y, Nakanishi M. M2 macrophage-derived TGF-β induces age-associated loss of adipogenesis through progenitor cell senescence. Mol Metab 2024:101943. [PMID: 38657734 DOI: 10.1016/j.molmet.2024.101943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 04/04/2024] [Accepted: 04/16/2024] [Indexed: 04/26/2024] Open
Abstract
OBJECTIVES Adipose tissue is an endocrine and energy storage organ composed of several different cell types, including mature adipocytes, stromal cells, endothelial cells, and a variety of immune cells. Adipose tissue aging contributes to the pathogenesis of metabolic dysfunction and is likely induced by crosstalk between adipose progenitor cells (APCs) and immune cells, but the underlying molecular mechanisms remain largely unknown. In this study, we revealed the biological role of p16high senescent APCs, and investigated the crosstalk between each cell type in the aged white adipose tissue. METHODS We performed the single-cell RNA sequencing (scRNA-seq) analysis on the p16high adipose cells sorted from aged p16-CreERT2/Rosa26-LSL-tdTomato mice. We also performed the time serial analysis on the age-dependent bulk RNA-seq datasets of human and mouse white adipose tissues to infer the transcriptome alteration of adipogenic potential within aging. RESULTS We show that M2 macrophage-derived TGF-β induces APCs senescence which impairs adipogenesis in vivo. p16high senescent APCs increase with age and show loss of adipogenic potential. The ligand-receptor interaction analysis reveals that M2 macrophages are the donors for TGF-β and the senescent APCs are the recipients. Indeed, treatment of APCs with TGF-β1 induces senescent phenotypes through mitochondrial ROS-mediated DNA damage in vitro. TGF-β1 injection into gonadal white adipose tissue (gWAT) suppresses adipogenic potential and induces fibrotic genes as well as p16 in APCs. A gWAT atrophy is observed in cancer cachexia by APCs senescence, whose induction appeared to be independent of TGF-β induction. CONCLUSIONS Our results suggest that M2 macrophage-derived TGF-β induces age-related lipodystrophy by APCs senescence. The TGF-β treatment induced DNA damage, mitochondrial ROS, and finally cellular senescence in APCs.
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Affiliation(s)
| | | | | | | | | | - Eigo Shimizu
- Division of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan
| | | | - Yoshikazu Johmura
- Division of Cancer and Senescence Biology, Cancer Research Institute, Institute for Frontier Science Initiative, Kanazawa University, Kanazawa, Japan
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2
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Momose H, Kurita N, Nishikii H, Yusa N, Yokoyama K, Shimizu E, Imoto S, Nanmoku T, Maruyama Y, Sakamoto T, Yokoyama Y, Kato T, Matsuoka R, Obara N, Sakata-Yanagimoto M, Chiba S. [Durable remission of T-cell prolymphocytic leukemia with CLEC16A::IL2 after allogeneic hematopoietic stem cell transplantation]. Rinsho Ketsueki 2024; 65:35-40. [PMID: 38311387 DOI: 10.11406/rinketsu.65.35] [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] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Abstract
A 64-year-old woman presented with fine motor impairment in both hands. MRI revealed a contrast-enhanced lesion in the medulla oblongata. Lymphoid cells with abnormal blebs were observed and a CD4+/CD8+ double positive (DP) T cell population was detected by flow cytometry (FCM) in the bone marrow (BM) and the peripheral blood (PB). CLEC16A::IL2 fusion gene was identified by whole exome sequencing with DNA prepared from DP T cells. Clonal rearrangement of the T-cell receptor gene and expression of TCL1A protein were detected. This led to a diagnosis of T-cell prolymphocytic leukemia (T-PLL) with central nervous system (CNS) infiltration. Abnormal cells in BM and PB became undetectable on microscopy and FCM, and the CNS lesion disappeared on MRI after second-line therapy with alemtuzumab. Meanwhile, the CLEC16A::IL2 fusion mRNA remained detectable in PB. Allogeneic hematopoietic stem-cell transplantation was performed, and the fusion mRNA has now been undetectable for more than 5 years since transplantation. This is the first report of a T-PLL case with a CLEC16A::IL2 fusion gene.
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Affiliation(s)
- Haruka Momose
- Department of Hematology, University of Tsukuba Hospital
| | - Naoki Kurita
- Department of Hematology, University of Tsukuba Hospital
- Department of Hematology, Institute of Medicine, University of Tsukuba
| | - Hidekazu Nishikii
- Department of Hematology, University of Tsukuba Hospital
- Department of Hematology, Institute of Medicine, University of Tsukuba
| | - Nozomi Yusa
- Department of Applied Genomics, Research Hospital, The Institute of Medical Science, The University of Tokyo
| | - Kazuaki Yokoyama
- Department of Hematology & Oncology, The Institute of Medical Science, The University of Tokyo
| | - Eigo Shimizu
- Division of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo
| | - Toru Nanmoku
- Department of Laboratory Medicine, University of Tsukuba Hospital
| | | | - Tatsuhiro Sakamoto
- Department of Hematology, University of Tsukuba Hospital
- Department of Hematology, Institute of Medicine, University of Tsukuba
| | - Yasuhisa Yokoyama
- Department of Hematology, University of Tsukuba Hospital
- Department of Hematology, Institute of Medicine, University of Tsukuba
| | - Takayasu Kato
- Department of Hematology, University of Tsukuba Hospital
- Department of Hematology, Institute of Medicine, University of Tsukuba
| | - Ryota Matsuoka
- Department of Diagnostic Pathology, Institute of Medicine, University of Tsukuba
| | - Naoshi Obara
- Department of Hematology, University of Tsukuba Hospital
- Department of Hematology, Institute of Medicine, University of Tsukuba
| | - Mamiko Sakata-Yanagimoto
- Department of Hematology, University of Tsukuba Hospital
- Department of Hematology, Institute of Medicine, University of Tsukuba
| | - Shigeru Chiba
- Department of Hematology, University of Tsukuba Hospital
- Department of Hematology, Institute of Medicine, University of Tsukuba
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3
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Kawachi K, Tang X, Kasajima R, Yamanaka T, Shimizu E, Katayama K, Yamaguchi R, Yokoyama K, Yamaguchi K, Furukawa Y, Miyano S, Imoto S, Yoshioka E, Washimi K, Okubo Y, Sato S, Yokose T, Miyagi Y. Genetic analysis of low-grade adenosquamous carcinoma of the breast progressing to high-grade metaplastic carcinoma. Breast Cancer Res Treat 2023; 202:563-573. [PMID: 37650999 PMCID: PMC10564816 DOI: 10.1007/s10549-023-07078-9] [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: 06/29/2023] [Accepted: 08/07/2023] [Indexed: 09/01/2023]
Abstract
PURPOSE Low-grade adenosquamous carcinoma (LGASC) is a rare type of metaplastic carcinoma of the breast (MBC) with an indolent clinical course. A few LGASC cases with high-grade transformation have been reported; however, the genetics underlying malignant progression of LGASC remain unclear. METHODS We performed whole-genome sequencing analysis on five MBCs from four patients, including one case with matching primary LGASC and a lymph node metastatic tumor consisting of high-grade MBC with a predominant metaplastic squamous cell carcinoma component (MSC) that progressed from LGASC and three cases of independent de novo MSC. RESULTS Unlike de novo MSC, LGASC and its associated MSC showed no TP53 mutation and tended to contain fewer structural variants than de novo MSC. Both LGASC and its associated MSC harbored the common GNAS c.C2530T:p.Arg844Cys mutation, which was more frequently detected in the cancer cell fraction of MSC. MSC associated with LGASC showed additional pathogenic deletions of multiple tumor-suppressor genes, such as KMT2D and BTG1. Copy number analysis revealed potential 18q loss of heterozygosity in both LGASC and associated MSC. The frequency of SMAD4::DCC fusion due to deletions increased with progression to MSC; however, chimeric proteins were not detected. SMAD4 protein expression was already decreased at the LGASC stage due to unknown mechanisms. CONCLUSION Not only LGASC but also its associated high-grade MBC may be genetically different from de novo high-grade MBC. Progression from LGASC to high-grade MBC may involve the concentration of driver mutations caused by clonal selection and inactivation of tumor-suppressor genes.
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Affiliation(s)
- Kae Kawachi
- Department of Pathology, Kanagawa Cancer Center, 2-3-2 Nakao, Aasahi-ku, Yokohama, Japan
- Department of Pathology, The Jikei University School of Medicine, 3-25-8 Nishishinbashi, Minato-ku, Tokyo, Japan
| | - Xiaoyan Tang
- Department of Pathology, Nihon University Hospital, 1-6 Kandasurugadai, Chiyoda-ku, Tokyo, Japan
| | - Rika Kasajima
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Aasahi-ku, Yokohama, Japan
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, Japan
| | - Takashi Yamanaka
- Department of Breast and Endocrine Surgery, Kanagawa Cancer Center, 2-3-2 Nakao, Aasahi-ku, Yokohama, Japan
| | - Eigo Shimizu
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, Japan
| | - Kotoe Katayama
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, Japan
| | - Rui Yamaguchi
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, Japan
- Division of Cancer Systems Biology, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-ku, Nagoya, Japan
- Division of Cancer Informatics, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-ku, Nagoya, Japan
| | - Kazuaki Yokoyama
- Department of Hematology/Oncology, Research Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kiyoshi Yamaguchi
- Division of Clinical Genome Research, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, Japan
| | - Yoichi Furukawa
- Division of Clinical Genome Research, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, Japan
| | - Satoru Miyano
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, Japan
- Department of Integrated Data Science, Medical and Dental Data Science Center, Tokyo Medical and Dental University, 2-3-10 Kandasurugadai, Chiyoda-ku, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, Japan
| | - Emi Yoshioka
- Department of Pathology, Kanagawa Cancer Center, 2-3-2 Nakao, Aasahi-ku, Yokohama, Japan
| | - Kota Washimi
- Department of Pathology, Kanagawa Cancer Center, 2-3-2 Nakao, Aasahi-ku, Yokohama, Japan
| | - Yoichiro Okubo
- Department of Pathology, Kanagawa Cancer Center, 2-3-2 Nakao, Aasahi-ku, Yokohama, Japan
| | - Shinya Sato
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Aasahi-ku, Yokohama, Japan
| | - Tomoyuki Yokose
- Department of Pathology, Kanagawa Cancer Center, 2-3-2 Nakao, Aasahi-ku, Yokohama, Japan
| | - Yohei Miyagi
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Aasahi-ku, Yokohama, Japan.
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Sato A, Kobayashi M, Yusa N, Ogawa M, Shimizu E, Kawamata T, Yokoyama K, Ota Y, Ichinohe T, Ohno H, Mori Y, Sakaida E, Kondo T, Imoto S, Nannya Y, Mitani K, Tojo A. Clinical and prognostic features of Langerhans cell histiocytosis in adults. Cancer Sci 2023; 114:3687-3697. [PMID: 37364599 PMCID: PMC10475785 DOI: 10.1111/cas.15879] [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: 09/11/2022] [Revised: 04/18/2023] [Accepted: 05/21/2023] [Indexed: 06/28/2023] Open
Abstract
Langerhans cell histiocytosis (LCH) is a rare disease characterized by clonal expansion of CD1a+ CD207+ myeloid dendritic cells. The features of LCH are mainly described in children and remain poorly defined in adults; therefore, we conducted a nationwide survey to collect clinical data from 148 adult patients with LCH. The median age at diagnosis was 46.5 (range: 20-87) years with male predominance (60.8%). Among the 86 patients with detailed treatment information, 40 (46.5%) had single system LCH, whereas 46 (53.5%) had multisystem LCH. Moreover, 19 patients (22.1%) had an additional malignancy. BRAF V600E in plasma cell-free DNA was associated with a low overall survival (OS) rate and the risk of the pituitary gland and central nervous system involvement. At a median follow-up of 55 months from diagnosis, six patients (7.0%) had died, and the four patients with LCH-related death did not respond to initial chemotherapy. The OS probability at 5 years post-diagnosis was 90.6% (95% confidence interval: 79.8-95.8). Multivariate analysis showed that patients aged ≥60 years at diagnosis had a relatively poor prognosis. The probability of event-free survival at 5 years was 52.1% (95% confidence interval: 36.6-65.5), with 57 patients requiring chemotherapy. In this study, we first revealed the high rate of relapse after chemotherapy and mortality of poor responders in adults as well as children. Therefore, prospective therapeutic studies of adults with LCH using targeted therapies are needed to improve outcomes in adults with LCH.
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Affiliation(s)
- Aki Sato
- Department of Hematology and Oncology, Institute of Medical Science Research HospitalUniversity of TokyoTokyoJapan
| | | | - Nozomi Yusa
- Department of Applied Genomics, Institute of Medical Science Research HospitalUniversity of TokyoTokyoJapan
| | - Miho Ogawa
- Division of Hematopoietic Disease Control, Institute of Medical ScienceUniversity of TokyoTokyoJapan
| | - Eigo Shimizu
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical ScienceUniversity of TokyoTokyoJapan
| | - Toyotaka Kawamata
- Department of Hematology and Oncology, Institute of Medical Science Research HospitalUniversity of TokyoTokyoJapan
| | - Kazuaki Yokoyama
- Department of Hematology and Oncology, Institute of Medical Science Research HospitalUniversity of TokyoTokyoJapan
| | - Yasunori Ota
- Department of Diagnostic Pathology, Institute of Medical Science Research HospitalUniversity of TokyoTokyoJapan
| | - Tatsuo Ichinohe
- Department of Hematology and Oncology, Research Institute for Radiation Biology and MedicineHiroshima UniversityHiroshimaJapan
| | | | - Yasuo Mori
- Department of Medicine and Biosystemic ScienceKyushu University Graduate School of Medical SciencesFukuokaJapan
| | - Emiko Sakaida
- Department of HematologyChiba University HospitalChibaJapan
| | - Tadakazu Kondo
- Department of Hematology and Oncology, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical ScienceUniversity of TokyoTokyoJapan
| | - Yasuhito Nannya
- Department of Hematology and Oncology, Institute of Medical Science Research HospitalUniversity of TokyoTokyoJapan
- Division of Hematopoietic Disease Control, Institute of Medical ScienceUniversity of TokyoTokyoJapan
| | - Kinuko Mitani
- Department of Hematology and OncologyDokkyo Medical UniversityTochigiJapan
| | - Arinobu Tojo
- Institute of Innovation AdvancementTokyo Medical and Dental UniversityTokyoJapan
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5
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Suzuki M, Kasajima R, Yokose T, Shimizu E, Hatakeyama S, Yamaguchi K, Yokoyama K, Katayama K, Yamaguchi R, Furukawa Y, Miyano S, Imoto S, Shinozaki-Ushiku A, Ushiku T, Miyagi Y. KMT2C expression and DNA homologous recombination repair factors in lung cancers with a high-grade fetal adenocarcinoma component. Transl Lung Cancer Res 2023; 12:1738-1751. [PMID: 37691868 PMCID: PMC10483084 DOI: 10.21037/tlcr-23-137] [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: 03/03/2023] [Accepted: 07/20/2023] [Indexed: 09/12/2023]
Abstract
Background High-grade fetal adenocarcinoma of the lung (H-FLAC) is a rare variant of pulmonary adenocarcinoma. Our previous study showed a high frequency of KMT2C mutations in lung cancers with an H-FLAC component, showing that KMT2C dysfunction may be associated with the biological features of H-FLACs. Methods In this study, we performed RNA sequencing and immunohistochemical analysis to identify the differentially expressed genes and corresponding pathways associated with H-FLACs, compared with common adenocarcinomas. Results Ingenuity pathway analysis based on RNA sequencing data revealed that DNA homologous recombination repair (HRR) pathways were significantly inactivated in H-FLAC. Expression of KMT2C, ATM, ATR, and BRCA2 was significantly lower in H-FLACs than in common adenocarcinomas, and BRCA1 expression showed a decreasing trend. Pearson correlation analyses for all cases revealed that KMT2C expression showed a strong positive correlation (R>0.7) with the expression of ATR, BRCA1, and BRCA2 genes and a moderately positive correlation with ATM expression (R=0.47). Immunohistochemical analysis showed significantly lower levels of KMT2C, ATM, ATR, and BRCA2 expression in H-FLACs than in common adenocarcinomas, and a trend of lower BRCA1 levels. Additionally, KMT2C expression showed a weak to moderate correlation with that of ATM, ATR, BRCA1, and BRCA2. Conclusions Cancers containing H-FLAC components showed lower levels of KMT2C and HRR factors than common lung adenocarcinomas, and their levels exhibited a positive correlation. These results support the hypothesis that loss of KMT2C function decreases the expression of the HRR factors in H-FLACs. H-FLACs with low KMT2C expression may be a good indication for poly (ADP-ribose) polymerase (PARP) inhibitor-based therapy.
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Affiliation(s)
- Masaki Suzuki
- Department of Pathology, The University of Tokyo, Tokyo, Japan
- Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan
| | - Rika Kasajima
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Tomoyuki Yokose
- Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan
| | - Eigo Shimizu
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Seira Hatakeyama
- Division of Clinical Genome Research, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kiyoshi Yamaguchi
- Division of Clinical Genome Research, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kazuaki Yokoyama
- Department of Hematology/Oncology, Research Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kotoe Katayama
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Rui Yamaguchi
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Division of Cancer Systems Biology, Aichi Cancer Center Research Institute, Nagoya, Japan
- Division of Cancer Informatics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoichi Furukawa
- Division of Clinical Genome Research, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Department of Integrated Data Science, Medical and Dental Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | | | - Tetsuo Ushiku
- Department of Pathology, The University of Tokyo, Tokyo, Japan
| | - Yohei Miyagi
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
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6
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Washimi K, Kasajima R, Shimizu E, Sato S, Okubo Y, Yoshioka E, Narimatsu H, Hiruma T, Katayama K, Yamaguchi R, Yamaguchi K, Furukawa Y, Miyano S, Imoto S, Yokose T, Miyagi Y. Histological markers, sickle-shaped blood vessels, myxoid area, and infiltrating growth pattern help stratify the prognosis of patients with myxofibrosarcoma/undifferentiated sarcoma. Sci Rep 2023; 13:6744. [PMID: 37185612 PMCID: PMC10130155 DOI: 10.1038/s41598-023-34026-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 04/22/2023] [Indexed: 05/17/2023] Open
Abstract
Myxofibrosarcoma (MFS) and undifferentiated sarcoma (US) have been considered as tumors of the same lineage based on genetic/epigenetic profiling. Although MFS shows a notably better prognosis than US, there are no clear criteria for distinguishing between them. Here, we examined 85 patients with MFS/US and found that tumors with infiltrative growth patterns tended to have more myxoid areas and higher local recurrence rates but fewer distant metastases and better overall survival. Morphologically characteristic sickle-shaped blood vessels, which tended to have fewer αSMA-positive cells, were also observed in these tumors, compared with normal vessels. Based on the incidence of these sickle-shaped blood vessels, we subdivided conventionally diagnosed US into two groups. This stratification was significantly correlated with metastasis and prognosis. RNA sequencing of 24 tumors (9 MFS and 15 US tumors) demonstrated that the proteasome, NF-kB, and VEGF pathways were differentially regulated among these tumors. Expression levels of KDR and NFATC4, which encode a transcription factor responsible for the neuritin-insulin receptor angiogenic signaling, were elevated in the sickle-shaped blood vessel-rich US tumors. These findings indicate that further analyses may help elucidate the malignant potential of MFS/US tumors as well as the development of therapeutic strategies for such tumors.
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Affiliation(s)
- Kota Washimi
- Department of Pathology, Kanagawa Cancer Center, Yokohama, Kanagawa, Japan.
| | - Rika Kasajima
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Eigo Shimizu
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Shinya Sato
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan
| | - Yoichiro Okubo
- Department of Pathology, Kanagawa Cancer Center, Yokohama, Kanagawa, Japan
| | - Emi Yoshioka
- Department of Pathology, Kanagawa Cancer Center, Yokohama, Kanagawa, Japan
| | - Hiroto Narimatsu
- Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan
| | - Toru Hiruma
- Division of Musculoskeletal Tumor Surgery, Kanagawa Cancer Center, Yokohama, Kanagawa, Japan
| | - Kotoe Katayama
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Rui Yamaguchi
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Division of Cancer Systems Biology, Aichi Cancer Center Research Institute, Nagoya, Japan
- Division of Cancer Informatics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kiyoshi Yamaguchi
- Division of Clinical Genome Research, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yoichi Furukawa
- Division of Clinical Genome Research, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Department of Integrated Data Science, Medical and Dental Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Tomoyuki Yokose
- Department of Pathology, Kanagawa Cancer Center, Yokohama, Kanagawa, Japan
| | - Yohei Miyagi
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan
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7
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Grgic O, Prijatelj V, Dudakovic A, Vucic S, Dhamo B, Trajanoska K, Monnereau C, Zrimsek M, Gautvik K, Reppe S, Shimizu E, Haworth S, Timpson N, Jaddoe V, Jarvelin MR, Evans D, Uitterlinden A, Ongkosuwito E, van Wijnen A, Medina-Gomez C, Rivadeneira F, Wolvius E. Novel Genetic Determinants of Dental Maturation in Children. J Dent Res 2023; 102:349-356. [PMID: 36437532 PMCID: PMC10083589 DOI: 10.1177/00220345221132268] [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] [Indexed: 11/29/2022] Open
Abstract
Dental occlusion requires harmonious development of teeth, jaws, and other elements of the craniofacial complex, which are regulated by environmental and genetic factors. We performed the first genome-wide association study (GWAS) on dental development (DD) using the Demirjian radiographic method. Radiographic assessments from participants of the Generation R Study (primary study population, N1 = 2,793; mean age of 9.8 y) were correlated with ~30 million genetic variants while adjusting for age, sex, and genomic principal components (proxy for population stratification). Variants associated with DD at genome-wide significant level (P < 5 × 10-8) mapped to 16q12.2 (IRX5) (lead variant rs3922616, B = 0.16; P = 2.2 × 10-8). We used Fisher's combined probability tests weighted by sample size to perform a meta-analysis (N = 14,805) combining radiographic DD at a mean age of 9.8 y from Generation R with data from a previous GWAS (N2 = 12,012) on number of teeth (NT) in infants used as proxy of DD at a mean age of 9.8 y (including the ALSPAC and NFBC1966). This GWAS meta-analysis revealed 3 novel loci mapping to 7p15.3 (IGF2BP3: P = 3.2 × 10-8), 14q13.3 (PAX9: P = 1.9 × 10-8), and 16q12.2 (IRX5: P = 1.2 × 10-9) and validated 8 previously reported NT loci. A polygenic allele score constructed from these 11 loci was associated with radiographic DD in an independent Generation R set of children (N = 703; B = 0.05, P = 0.004). Furthermore, profiling of the identified genes across an atlas of murine and human stem cells observed expression in the cells involved in the formation of bone and/or dental tissues (>0.3 frequency per kilobase of transcript per million mapped reads), likely reflecting functional specialization. Our findings provide biological insight into the polygenic architecture of the pediatric dental maturation process.
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Affiliation(s)
- O. Grgic
- Department of Oral and Maxillofacial
Surgery, ErasmusMC, Rotterdam, The Netherlands
- The Generation R Study, ErasmusMC,
Rotterdam, The Netherlands
| | - V. Prijatelj
- Department of Oral and Maxillofacial
Surgery, ErasmusMC, Rotterdam, The Netherlands
- The Generation R Study, ErasmusMC,
Rotterdam, The Netherlands
| | - A. Dudakovic
- Department of Orthopedic Surgery, Mayo
Clinic, Rochester, MN, USA
| | - S. Vucic
- Department of Oral and Maxillofacial
Surgery, ErasmusMC, Rotterdam, The Netherlands
- The Generation R Study, ErasmusMC,
Rotterdam, The Netherlands
| | - B. Dhamo
- Department of Oral and Maxillofacial
Surgery, ErasmusMC, Rotterdam, The Netherlands
- The Generation R Study, ErasmusMC,
Rotterdam, The Netherlands
| | - K. Trajanoska
- Department of Human Genetics McGill
University, Montréal, Québec, Canada
- Canada Excellence Research Chair in
Genomic Medicine, McGill University, Montréal, Québec, Canada
| | - C. Monnereau
- The Generation R Study, ErasmusMC,
Rotterdam, The Netherlands
| | - M. Zrimsek
- Department of Pathology, Medical
University of Vienna, Vienna, Austria
| | - K.M. Gautvik
- Department of Medical Biochemistry,
Oslo University Hospital, Oslo, Norway
| | - S. Reppe
- Department of Medical Biochemistry,
Oslo University Hospital, Oslo, Norway
| | - E. Shimizu
- Department of Oral Biology, Rutgers
School of Dental Medicine, Newark, NJ, USA
| | - S. Haworth
- Department of Population Health
Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Bristol Dental School, University of
Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit,
University of Bristol, Bristol, UK
| | - N.J. Timpson
- Department of Population Health
Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit,
University of Bristol, Bristol, UK
| | - V.W.V. Jaddoe
- The Generation R Study, ErasmusMC,
Rotterdam, The Netherlands
| | - M.-R. Jarvelin
- Faculty of Medicine, Center for Life
Course Health Research, University of Oulu, Oulu, Finland
- Faculty of Medicine, School of Public
Health, Imperial College, London, UK
| | - D. Evans
- MRC Integrative Epidemiology Unit,
University of Bristol, Bristol, UK
- Diamantina Institute, The University
of Queensland, Brisbane, Australia
- Institute for Molecular Bioscience,
The University of Queensland, Brisbane, Australia
| | | | - E.M. Ongkosuwito
- Dentistry, Section Orthodontics and
Craniofacial Biology, Radboud University Medical Center, Nijmegen, The
Netherlands
| | - A.J. van Wijnen
- Department of Biochemistry,
University of Vermont, Burlington, VT, USA
| | - C. Medina-Gomez
- The Generation R Study, ErasmusMC,
Rotterdam, The Netherlands
| | - F. Rivadeneira
- Department of Oral and Maxillofacial
Surgery, ErasmusMC, Rotterdam, The Netherlands
- The Generation R Study, ErasmusMC,
Rotterdam, The Netherlands
| | - E.B. Wolvius
- Department of Oral and Maxillofacial
Surgery, ErasmusMC, Rotterdam, The Netherlands
- The Generation R Study, ErasmusMC,
Rotterdam, The Netherlands
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Gerstung M, Jolly C, Leshchiner I, Dentro SC, Gonzalez S, Rosebrock D, Mitchell TJ, Rubanova Y, Anur P, Yu K, Tarabichi M, Deshwar A, Wintersinger J, Kleinheinz K, Vázquez-García I, Haase K, Jerman L, Sengupta S, Macintyre G, Malikic S, Donmez N, Livitz DG, Cmero M, Demeulemeester J, Schumacher S, Fan Y, Yao X, Lee J, Schlesner M, Boutros PC, Bowtell DD, Zhu H, Getz G, Imielinski M, Beroukhim R, Sahinalp SC, Ji Y, Peifer M, Markowetz F, Mustonen V, Yuan K, Wang W, Morris QD, Spellman PT, Wedge DC, Van Loo P, Tarabichi M, Wintersinger J, Deshwar AG, Yu K, Gonzalez S, Rubanova Y, Macintyre G, Adams DJ, Anur P, Beroukhim R, Boutros PC, Bowtell DD, Campbell PJ, Cao S, Christie EL, Cmero M, Cun Y, Dawson KJ, Demeulemeester J, Donmez N, Drews RM, Eils R, Fan Y, Fittall M, Garsed DW, Getz G, Ha G, Imielinski M, Jerman L, Ji Y, Kleinheinz K, Lee J, Lee-Six H, Livitz DG, Malikic S, Markowetz F, Martincorena I, Mitchell TJ, Mustonen V, Oesper L, Peifer M, Peto M, Raphael BJ, Rosebrock D, Sahinalp SC, Salcedo A, Schlesner M, Schumacher S, Sengupta S, Shi R, Shin SJ, Spiro O, Pitkänen E, Pivot X, Piñeiro-Yáñez E, Planko L, Plass C, Polak P, Pons T, Popescu I, Potapova O, Prasad A, Stein LD, Preston SR, Prinz M, Pritchard AL, Prokopec SD, Provenzano E, Puente XS, Puig S, Puiggròs M, Pulido-Tamayo S, Pupo GM, Vázquez-García I, Purdie CA, Quinn MC, Rabionet R, Rader JS, Radlwimmer B, Radovic P, Raeder B, Raine KM, Ramakrishna M, Ramakrishnan K, Vembu S, Ramalingam S, Raphael BJ, Rathmell WK, Rausch T, Reifenberger G, Reimand J, Reis-Filho J, Reuter V, Reyes-Salazar I, Reyna MA, Wheeler DA, Reynolds SM, Rheinbay E, Riazalhosseini Y, Richardson AL, Richter J, Ringel M, Ringnér M, Rino Y, Rippe K, Roach J, Yang TP, Roberts LR, Roberts ND, Roberts SA, Robertson AG, Robertson AJ, Rodriguez JB, Rodriguez-Martin B, Rodríguez-González FG, Roehrl MHA, Rohde M, Yao X, Rokutan H, Romieu G, Rooman I, Roques T, Rosebrock D, Rosenberg M, Rosenstiel PC, Rosenwald A, Rowe EW, Royo R, Yuan K, Rozen SG, Rubanova Y, Rubin MA, Rubio-Perez C, Rudneva VA, Rusev BC, Ruzzenente A, Rätsch G, Sabarinathan R, Sabelnykova VY, Zhu H, Sadeghi S, Sahinalp SC, Saini N, Saito-Adachi M, Saksena G, Salcedo A, Salgado R, Salichos L, Sallari R, Saller C, Wang W, Salvia R, Sam M, Samra JS, Sanchez-Vega F, Sander C, Sanders G, Sarin R, Sarrafi I, Sasaki-Oku A, Sauer T, Morris QD, Sauter G, Saw RPM, Scardoni M, Scarlett CJ, Scarpa A, Scelo G, Schadendorf D, Schein JE, Schilhabel MB, Schlesner M, Spellman PT, Schlomm T, Schmidt HK, Schramm SJ, Schreiber S, Schultz N, Schumacher SE, Schwarz RF, Scolyer RA, Scott D, Scully R, Wedge DC, Seethala R, Segre AV, Selander I, Semple CA, Senbabaoglu Y, Sengupta S, Sereni E, Serra S, Sgroi DC, Shackleton M, Van Loo P, Shah NC, Shahabi S, Shang CA, Shang P, Shapira O, Shelton T, Shen C, Shen H, Shepherd R, Shi R, Spellman PT, Shi Y, Shiah YJ, Shibata T, Shih J, Shimizu E, Shimizu K, Shin SJ, Shiraishi Y, Shmaya T, Shmulevich I, Wedge DC, Shorser SI, Short C, Shrestha R, Shringarpure SS, Shriver C, Shuai S, Sidiropoulos N, Siebert R, Sieuwerts AM, Sieverling L, Van Loo P, Signoretti S, Sikora KO, Simbolo M, Simon R, Simons JV, Simpson JT, Simpson PT, Singer S, Sinnott-Armstrong N, Sipahimalani P, Aaltonen LA, Skelly TJ, Smid M, Smith J, Smith-McCune K, Socci ND, Sofia HJ, Soloway MG, Song L, Sood AK, Sothi S, Abascal F, Sotiriou C, Soulette CM, Span PN, Spellman PT, Sperandio N, Spillane AJ, Spiro O, Spring J, Staaf J, Stadler PF, Abeshouse A, Staib P, Stark SG, Stebbings L, Stefánsson ÓA, Stegle O, Stein LD, Stenhouse A, Stewart C, Stilgenbauer S, Stobbe MD, Aburatani H, Stratton MR, Stretch JR, Struck AJ, Stuart JM, Stunnenberg HG, Su H, Su X, Sun RX, Sungalee S, Susak H, Adams DJ, Suzuki A, Sweep F, Szczepanowski M, Sültmann H, Yugawa T, Tam A, Tamborero D, Tan BKT, Tan D, Tan P, Agrawal N, Tanaka H, Taniguchi H, Tanskanen TJ, Tarabichi M, Tarnuzzer R, Tarpey P, Taschuk ML, Tatsuno K, Tavaré S, Taylor DF, Ahn KS, Taylor-Weiner A, Teague JW, Teh BT, Tembe V, Temes J, Thai K, Thayer SP, Thiessen N, Thomas G, Thomas S, Ahn SM, Thompson A, Thompson AM, Thompson JFF, Thompson RH, Thorne H, Thorne LB, Thorogood A, Tiao G, Tijanic N, Timms LE, Aikata H, Tirabosco R, Tojo M, Tommasi S, Toon CW, Toprak UH, Torrents D, Tortora G, Tost J, Totoki Y, Townend D, Akbani R, Traficante N, Treilleux I, Trotta JR, Trümper LHP, Tsao M, Tsunoda T, Tubio JMC, Tucker O, Turkington R, Turner DJ, Akdemir KC, Tutt A, Ueno M, Ueno NT, Umbricht C, Umer HM, Underwood TJ, Urban L, Urushidate T, Ushiku T, Uusküla-Reimand L, Al-Ahmadie H, Valencia A, Van Den Berg DJ, Van Laere S, Van Loo P, Van Meir EG, Van den Eynden GG, Van der Kwast T, Vasudev N, Vazquez M, Vedururu R, Al-Sedairy ST, Veluvolu U, Vembu S, Verbeke LPC, Vermeulen P, Verrill C, Viari A, Vicente D, Vicentini C, VijayRaghavan K, Viksna J, Al-Shahrour F, Vilain RE, Villasante I, Vincent-Salomon A, Visakorpi T, Voet D, Vyas P, Vázquez-García I, Waddell NM, Waddell N, Wadelius C, Alawi M, Wadi L, Wagener R, Wala JA, Wang J, Wang J, Wang L, Wang Q, Wang W, Wang Y, Wang Z, Albert M, Waring PM, Warnatz HJ, Warrell J, Warren AY, Waszak SM, Wedge DC, Weichenhan D, Weinberger P, Weinstein JN, Weischenfeldt J, Aldape K, Weisenberger DJ, Welch I, Wendl MC, Werner J, Whalley JP, Wheeler DA, Whitaker HC, Wigle D, Wilkerson MD, Williams A, Alexandrov LB, Wilmott JS, Wilson GW, Wilson JM, Wilson RK, Winterhoff B, Wintersinger JA, Wiznerowicz M, Wolf S, Wong BH, Wong T, Ally A, Wong W, Woo Y, Wood S, Wouters BG, Wright AJ, Wright DW, Wright MH, Wu CL, Wu DY, Wu G, Alsop K, Wu J, Wu K, Wu Y, Wu Z, Xi L, Xia T, Xiang Q, Xiao X, Xing R, Xiong H, Alvarez EG, Xu Q, Xu Y, Xue H, Yachida S, Yakneen S, Yamaguchi R, Yamaguchi TN, Yamamoto M, Yamamoto S, Yamaue H, Amary F, Yang F, Yang H, Yang JY, Yang L, Yang L, Yang S, Yang TP, Yang Y, Yao X, Yaspo ML, Amin SB, Yates L, Yau C, Ye C, Ye K, Yellapantula VD, Yoon CJ, Yoon SS, Yousif F, Yu J, Yu K, Aminou B, Yu W, Yu Y, Yuan K, Yuan Y, Yuen D, Yung CK, Zaikova O, Zamora J, Zapatka M, Zenklusen JC, Ammerpohl O, Zenz T, Zeps N, Zhang CZ, Zhang F, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Anderson MJ, Zhang X, Zhang X, Zhang Y, Zhang Z, Zhao Z, Zheng L, Zheng X, Zhou W, Zhou Y, Zhu B, Ang Y, Zhu H, Zhu J, Zhu S, Zou L, Zou X, deFazio A, van As N, van Deurzen CHM, van de Vijver MJ, van’t Veer L, Antonello D, von Mering C, Anur P, Aparicio S, Appelbaum EL, Arai Y, Aretz A, Arihiro K, Ariizumi SI, Armenia J, Arnould L, Asa S, Assenov Y, Atwal G, Aukema S, Auman JT, Aure MRR, Awadalla P, Aymerich M, Bader GD, Baez-Ortega A, Bailey MH, Bailey PJ, Balasundaram M, Balu S, Bandopadhayay P, Banks RE, Barbi S, Barbour AP, Barenboim J, Barnholtz-Sloan J, Barr H, Barrera E, Bartlett J, Bartolome J, Bassi C, Bathe OF, Baumhoer D, Bavi P, Baylin SB, Bazant W, Beardsmore D, Beck TA, Behjati S, Behren A, Niu B, Bell C, Beltran S, Benz C, Berchuck A, Bergmann AK, Bergstrom EN, Berman BP, Berney DM, Bernhart SH, Beroukhim R, Berrios M, Bersani S, Bertl J, Betancourt M, Bhandari V, Bhosle SG, Biankin AV, Bieg M, Bigner D, Binder H, Birney E, Birrer M, Biswas NK, Bjerkehagen B, Bodenheimer T, Boice L, Bonizzato G, De Bono JS, Boot A, Bootwalla MS, Borg A, Borkhardt A, Boroevich KA, Borozan I, Borst C, Bosenberg M, Bosio M, Boultwood J, Bourque G, Boutros PC, Bova GS, Bowen DT, Bowlby R, Bowtell DDL, Boyault S, Boyce R, Boyd J, Brazma A, Brennan P, Brewer DS, Brinkman AB, Bristow RG, Broaddus RR, Brock JE, Brock M, Broeks A, Brooks AN, Brooks D, Brors B, Brunak S, Bruxner TJC, Bruzos AL, Buchanan A, Buchhalter I, Buchholz C, Bullman S, Burke H, Burkhardt B, Burns KH, Busanovich J, Bustamante CD, Butler AP, Butte AJ, Byrne NJ, Børresen-Dale AL, Caesar-Johnson SJ, Cafferkey A, Cahill D, Calabrese C, Caldas C, Calvo F, Camacho N, Campbell PJ, Campo E, Cantù C, Cao S, Carey TE, Carlevaro-Fita J, Carlsen R, Cataldo I, Cazzola M, Cebon J, Cerfolio R, Chadwick DE, Chakravarty D, Chalmers D, Chan CWY, Chan K, Chan-Seng-Yue M, Chandan VS, Chang DK, Chanock SJ, Chantrill LA, Chateigner A, Chatterjee N, Chayama K, Chen HW, Chen J, Chen K, Chen Y, Chen Z, Cherniack AD, Chien J, Chiew YE, Chin SF, Cho J, Cho S, Choi JK, Choi W, Chomienne C, Chong Z, Choo SP, Chou A, Christ AN, Christie EL, Chuah E, Cibulskis C, Cibulskis K, Cingarlini S, Clapham P, Claviez A, Cleary S, Cloonan N, Cmero M, Collins CC, Connor AA, Cooke SL, Cooper CS, Cope L, Corbo V, Cordes MG, Cordner SM, Cortés-Ciriano I, Covington K, Cowin PA, Craft B, Craft D, Creighton CJ, Cun Y, Curley E, Cutcutache I, Czajka K, Czerniak B, Dagg RA, Danilova L, Davi MV, Davidson NR, Davies H, Davis IJ, Davis-Dusenbery BN, Dawson KJ, De La Vega FM, De Paoli-Iseppi R, Defreitas T, Tos APD, Delaneau O, Demchok JA, Demeulemeester J, Demidov GM, Demircioğlu D, Dennis NM, Denroche RE, Dentro SC, Desai N, Deshpande V, Deshwar AG, Desmedt C, Deu-Pons J, Dhalla N, Dhani NC, Dhingra P, Dhir R, DiBiase A, Diamanti K, Ding L, Ding S, Dinh HQ, Dirix L, Doddapaneni H, Donmez N, Dow MT, Drapkin R, Drechsel O, Drews RM, Serge S, Dudderidge T, Dueso-Barroso A, Dunford AJ, Dunn M, Dursi LJ, Duthie FR, Dutton-Regester K, Eagles J, Easton DF, Edmonds S, Edwards PA, Edwards SE, Eeles RA, Ehinger A, Eils J, Eils R, El-Naggar A, Eldridge M, Ellrott K, Erkek S, Escaramis G, Espiritu SMG, Estivill X, Etemadmoghadam D, Eyfjord JE, Faltas BM, Fan D, Fan Y, Faquin WC, Farcas C, Fassan M, Fatima A, Favero F, Fayzullaev N, Felau I, Fereday S, Ferguson ML, Ferretti V, Feuerbach L, Field MA, Fink JL, Finocchiaro G, Fisher C, Fittall MW, Fitzgerald A, Fitzgerald RC, Flanagan AM, Fleshner NE, Flicek P, Foekens JA, Fong KM, Fonseca NA, Foster CS, Fox NS, Fraser M, Frazer S, Frenkel-Morgenstern M, Friedman W, Frigola J, Fronick CC, Fujimoto A, Fujita M, Fukayama M, Fulton LA, Fulton RS, Furuta M, Futreal PA, Füllgrabe A, Gabriel SB, Gallinger S, Gambacorti-Passerini C, Gao J, Gao S, Garraway L, Garred Ø, Garrison E, Garsed DW, Gehlenborg N, Gelpi JLL, George J, Gerhard DS, Gerhauser C, Gershenwald JE, Gerstein M, Gerstung M, Getz G, Ghori M, Ghossein R, Giama NH, Gibbs RA, Gibson B, Gill AJ, Gill P, Giri DD, Glodzik D, Gnanapragasam VJ, Goebler ME, Goldman MJ, Gomez C, Gonzalez S, Gonzalez-Perez A, Gordenin DA, Gossage J, Gotoh K, Govindan R, Grabau D, Graham JS, Grant RC, Green AR, Green E, Greger L, Grehan N, Grimaldi S, Grimmond SM, Grossman RL, Grundhoff A, Gundem G, Guo Q, Gupta M, Gupta S, Gut IG, Gut M, Göke J, Ha G, Haake A, Haan D, Haas S, Haase K, Haber JE, Habermann N, Hach F, Haider S, Hama N, Hamdy FC, Hamilton A, Hamilton MP, Han L, Hanna GB, Hansmann M, Haradhvala NJ, Harismendy O, Harliwong I, Harmanci AO, Harrington E, Hasegawa T, Haussler D, Hawkins S, Hayami S, Hayashi S, Hayes DN, Hayes SJ, Hayward NK, Hazell S, He Y, Heath AP, Heath SC, Hedley D, Hegde AM, Heiman DI, Heinold MC, Heins Z, Heisler LE, Hellstrom-Lindberg E, Helmy M, Heo SG, Hepperla AJ, Heredia-Genestar JM, Herrmann C, Hersey P, Hess JM, Hilmarsdottir H, Hinton J, Hirano S, Hiraoka N, Hoadley KA, Hobolth A, Hodzic E, Hoell JI, Hoffmann S, Hofmann O, Holbrook A, Holik AZ, Hollingsworth MA, Holmes O, Holt RA, Hong C, Hong EP, Hong JH, Hooijer GK, Hornshøj H, Hosoda F, Hou Y, Hovestadt V, Howat W, Hoyle AP, Hruban RH, Hu J, Hu T, Hua X, Huang KL, Huang M, Huang MN, Huang V, Huang Y, Huber W, Hudson TJ, Hummel M, Hung JA, Huntsman D, Hupp TR, Huse J, Huska MR, Hutter B, Hutter CM, Hübschmann D, Iacobuzio-Donahue CA, Imbusch CD, Imielinski M, Imoto S, Isaacs WB, Isaev K, Ishikawa S, Iskar M, Islam SMA, Ittmann M, Ivkovic S, Izarzugaza JMG, Jacquemier J, Jakrot V, Jamieson NB, Jang GH, Jang SJ, Jayaseelan JC, Jayasinghe R, Jefferys SR, Jegalian K, Jennings JL, Jeon SH, Jerman L, Ji Y, Jiao W, Johansson PA, Johns AL, Johns J, Johnson R, Johnson TA, Jolly C, Joly Y, Jonasson JG, Jones CD, Jones DR, Jones DTW, Jones N, Jones SJM, Jonkers J, Ju YS, Juhl H, Jung J, Juul M, Juul RI, Juul S, Jäger N, Kabbe R, Kahles A, Kahraman A, Kaiser VB, Kakavand H, Kalimuthu S, von Kalle C, Kang KJ, Karaszi K, Karlan B, Karlić R, Karsch D, Kasaian K, Kassahn KS, Katai H, Kato M, Katoh H, Kawakami Y, Kay JD, Kazakoff SH, Kazanov MD, Keays M, Kebebew E, Kefford RF, Kellis M, Kench JG, Kennedy CJ, Kerssemakers JNA, Khoo D, Khoo V, Khuntikeo N, Khurana E, Kilpinen H, Kim HK, Kim HL, Kim HY, Kim H, Kim J, Kim J, Kim JK, Kim Y, King TA, Klapper W, Kleinheinz K, Klimczak LJ, Knappskog S, Kneba M, Knoppers BM, Koh Y, Komorowski J, Komura D, Komura M, Kong G, Kool M, Korbel JO, Korchina V, Korshunov A, Koscher M, Koster R, Kote-Jarai Z, Koures A, Kovacevic M, Kremeyer B, Kretzmer H, Kreuz M, Krishnamurthy S, Kube D, Kumar K, Kumar P, Kumar S, Kumar Y, Kundra R, Kübler K, Küppers R, Lagergren J, Lai PH, Laird PW, Lakhani SR, Lalansingh CM, Lalonde E, Lamaze FC, Lambert A, Lander E, Landgraf P, Landoni L, Langerød A, Lanzós A, Larsimont D, Larsson E, Lathrop M, Lau LMS, Lawerenz C, Lawlor RT, Lawrence MS, Lazar AJ, Lazic AM, Le X, Lee D, Lee D, Lee EA, Lee HJ, Lee JJK, Lee JY, Lee J, Lee MTM, Lee-Six H, Lehmann KV, Lehrach H, Lenze D, Leonard CR, Leongamornlert DA, Leshchiner I, Letourneau L, Letunic I, Levine DA, Lewis L, Ley T, Li C, Li CH, Li HI, Li J, Li L, Li S, Li S, Li X, Li X, Li X, Li Y, Liang H, Liang SB, Lichter P, Lin P, Lin Z, Linehan WM, Lingjærde OC, Liu D, Liu EM, Liu FFF, Liu F, Liu J, Liu X, Livingstone J, Livitz D, Livni N, Lochovsky L, Loeffler M, Long GV, Lopez-Guillermo A, Lou S, Louis DN, Lovat LB, Lu Y, Lu YJ, Lu Y, Luchini C, Lungu I, Luo X, Luxton HJ, Lynch AG, Lype L, López C, López-Otín C, Ma EZ, Ma Y, MacGrogan G, MacRae S, Macintyre G, Madsen T, Maejima K, Mafficini A, Maglinte DT, Maitra A, Majumder PP, Malcovati L, Malikic S, Malleo G, Mann GJ, Mantovani-Löffler L, Marchal K, Marchegiani G, Mardis ER, Margolin AA, Marin MG, Markowetz F, Markowski J, Marks J, Marques-Bonet T, Marra MA, Marsden L, Martens JWM, Martin S, Martin-Subero JI, Martincorena I, Martinez-Fundichely A, Maruvka YE, Mashl RJ, Massie CE, Matthew TJ, Matthews L, Mayer E, Mayes S, Mayo M, Mbabaali F, McCune K, McDermott U, McGillivray PD, McLellan MD, McPherson JD, McPherson JR, McPherson TA, Meier SR, Meng A, Meng S, Menzies A, Merrett ND, Merson S, Meyerson M, Meyerson W, Mieczkowski PA, Mihaiescu GL, Mijalkovic S, Mikkelsen T, Milella M, Mileshkin L, Miller CA, Miller DK, Miller JK, Mills GB, Milovanovic A, Minner S, Miotto M, Arnau GM, Mirabello L, Mitchell C, Mitchell TJ, Miyano S, Miyoshi N, Mizuno S, Molnár-Gábor F, Moore MJ, Moore RA, Morganella S, Morris QD, Morrison C, Mose LE, Moser CD, Muiños F, Mularoni L, Mungall AJ, Mungall K, Musgrove EA, Mustonen V, Mutch D, Muyas F, Muzny DM, Muñoz A, Myers J, Myklebost O, Möller P, Nagae G, Nagrial AM, Nahal-Bose HK, Nakagama H, Nakagawa H, Nakamura H, Nakamura T, Nakano K, Nandi T, Nangalia J, Nastic M, Navarro A, Navarro FCP, Neal DE, Nettekoven G, Newell F, Newhouse SJ, Newton Y, Ng AWT, Ng A, Nicholson J, Nicol D, Nie Y, Nielsen GP, Nielsen MM, Nik-Zainal S, Noble MS, Nones K, Northcott PA, Notta F, O’Connor BD, O’Donnell P, O’Donovan M, O’Meara S, O’Neill BP, O’Neill JR, Ocana D, Ochoa A, Oesper L, Ogden C, Ohdan H, Ohi K, Ohno-Machado L, Oien KA, Ojesina AI, Ojima H, Okusaka T, Omberg L, Ong CK, Ossowski S, Ott G, Ouellette BFF, P’ng C, Paczkowska M, Paiella S, Pairojkul C, Pajic M, Pan-Hammarström Q, Papaemmanuil E, Papatheodorou I, Paramasivam N, Park JW, Park JW, Park K, Park K, Park PJ, Parker JS, Parsons SL, Pass H, Pasternack D, Pastore A, Patch AM, Pauporté I, Pea A, Pearson JV, Pedamallu CS, Pedersen JS, Pederzoli P, Peifer M, Pennell NA, Perou CM, Perry MD, Petersen GM, Peto M, Petrelli N, Petryszak R, Pfister SM, Phillips M, Pich O, Pickett HA, Pihl TD, Pillay N, Pinder S, Pinese M, Pinho AV. Author Correction: The evolutionary history of 2,658 cancers. Nature 2023; 614:E42. [PMID: 36697833 PMCID: PMC9931577 DOI: 10.1038/s41586-022-05601-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- Moritz Gerstung
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK. .,European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany. .,Wellcome Sanger Institute, Cambridge, UK.
| | - Clemency Jolly
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK
| | - Ignaty Leshchiner
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Stefan C. Dentro
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK ,grid.4991.50000 0004 1936 8948Big Data Institute, University of Oxford, Oxford, UK
| | - Santiago Gonzalez
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK
| | - Daniel Rosebrock
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Thomas J. Mitchell
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.5335.00000000121885934University of Cambridge, Cambridge, UK
| | - Yulia Rubanova
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | - Pavana Anur
- grid.5288.70000 0000 9758 5690Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR USA
| | - Kaixian Yu
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Maxime Tarabichi
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK
| | - Amit Deshwar
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | - Jeff Wintersinger
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | - Kortine Kleinheinz
- grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany ,grid.7700.00000 0001 2190 4373Heidelberg University, Heidelberg, Germany
| | - Ignacio Vázquez-García
- grid.10306.340000 0004 0606 5382Wellcome Sanger Institute, Cambridge, UK ,grid.5335.00000000121885934University of Cambridge, Cambridge, UK
| | - Kerstin Haase
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK
| | - Lara Jerman
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK ,grid.8954.00000 0001 0721 6013University of Ljubljana, Ljubljana, Slovenia
| | - Subhajit Sengupta
- grid.240372.00000 0004 0400 4439NorthShore University HealthSystem, Evanston, IL USA
| | - Geoff Macintyre
- grid.5335.00000000121885934Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Salem Malikic
- grid.61971.380000 0004 1936 7494Simon Fraser University, Burnaby, British Columbia Canada ,grid.412541.70000 0001 0684 7796Vancouver Prostate Centre, Vancouver, British Columbia Canada
| | - Nilgun Donmez
- grid.61971.380000 0004 1936 7494Simon Fraser University, Burnaby, British Columbia Canada ,grid.412541.70000 0001 0684 7796Vancouver Prostate Centre, Vancouver, British Columbia Canada
| | - Dimitri G. Livitz
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Marek Cmero
- grid.1008.90000 0001 2179 088XUniversity of Melbourne, Melbourne, Victoria Australia ,grid.1042.70000 0004 0432 4889Walter and Eliza Hall Institute, Melbourne, Victoria Australia
| | - Jonas Demeulemeester
- grid.451388.30000 0004 1795 1830The Francis Crick Institute, London, UK ,grid.5596.f0000 0001 0668 7884University of Leuven, Leuven, Belgium
| | - Steven Schumacher
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Yu Fan
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Xiaotong Yao
- grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA ,grid.429884.b0000 0004 1791 0895New York Genome Center, New York, NY USA
| | - Juhee Lee
- grid.205975.c0000 0001 0740 6917University of California Santa Cruz, Santa Cruz, CA USA
| | - Matthias Schlesner
- grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Paul C. Boutros
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.419890.d0000 0004 0626 690XOntario Institute for Cancer Research, Toronto, Ontario Canada ,grid.19006.3e0000 0000 9632 6718University of California, Los Angeles, CA USA
| | - David D. Bowtell
- grid.1055.10000000403978434Peter MacCallum Cancer Centre, Melbourne, Victoria Australia
| | - Hongtu Zhu
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Gad Getz
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.32224.350000 0004 0386 9924Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA USA ,grid.32224.350000 0004 0386 9924Department of Pathology, Massachusetts General Hospital, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | - Marcin Imielinski
- grid.5386.8000000041936877XWeill Cornell Medicine, New York, NY USA ,grid.429884.b0000 0004 1791 0895New York Genome Center, New York, NY USA
| | - Rameen Beroukhim
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA
| | - S. Cenk Sahinalp
- grid.412541.70000 0001 0684 7796Vancouver Prostate Centre, Vancouver, British Columbia Canada ,grid.411377.70000 0001 0790 959XIndiana University, Bloomington, IN USA
| | - Yuan Ji
- grid.240372.00000 0004 0400 4439NorthShore University HealthSystem, Evanston, IL USA ,grid.170205.10000 0004 1936 7822The University of Chicago, Chicago, IL USA
| | - Martin Peifer
- grid.6190.e0000 0000 8580 3777University of Cologne, Cologne, Germany
| | - Florian Markowetz
- grid.5335.00000000121885934Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Ville Mustonen
- grid.7737.40000 0004 0410 2071University of Helsinki, Helsinki, Finland
| | - Ke Yuan
- grid.5335.00000000121885934Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK ,grid.8756.c0000 0001 2193 314XUniversity of Glasgow, Glasgow, UK
| | - Wenyi Wang
- grid.240145.60000 0001 2291 4776The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Quaid D. Morris
- grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada ,grid.494618.6Vector Institute, Toronto, Ontario Canada
| | | | - Paul T. Spellman
- grid.5288.70000 0000 9758 5690Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR USA
| | - David C. Wedge
- grid.4991.50000 0004 1936 8948Big Data Institute, University of Oxford, Oxford, UK ,grid.454382.c0000 0004 7871 7212Oxford NIHR Biomedical Research Centre, Oxford, UK
| | - Peter Van Loo
- The Francis Crick Institute, London, UK. .,University of Leuven, Leuven, Belgium.
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Calabrese C, Davidson NR, Demircioğlu D, Fonseca NA, He Y, Kahles A, Lehmann KV, Liu F, Shiraishi Y, Soulette CM, Urban L, Greger L, Li S, Liu D, Perry MD, Xiang Q, Zhang F, Zhang J, Bailey P, Erkek S, Hoadley KA, Hou Y, Huska MR, Kilpinen H, Korbel JO, Marin MG, Markowski J, Nandi T, Pan-Hammarström Q, Pedamallu CS, Siebert R, Stark SG, Su H, Tan P, Waszak SM, Yung C, Zhu S, Awadalla P, Creighton CJ, Meyerson M, Ouellette BFF, Wu K, Yang H, Brazma A, Brooks AN, Göke J, Rätsch G, Schwarz RF, Stegle O, Zhang Z, Wu K, Yang H, Fonseca NA, Kahles A, Lehmann KV, Urban L, Soulette CM, Shiraishi Y, Liu F, He Y, Demircioğlu D, Davidson NR, Calabrese C, Zhang J, Perry MD, Xiang Q, Greger L, Li S, Liu D, Stark SG, Zhang F, Amin SB, Bailey P, Chateigner A, Cortés-Ciriano I, Craft B, Erkek S, Frenkel-Morgenstern M, Goldman M, Hoadley KA, Hou Y, Huska MR, Khurana E, Kilpinen H, Korbel JO, Lamaze FC, Li C, Li X, Li X, Liu X, Marin MG, Markowski J, Nandi T, Nielsen MM, Ojesina AI, Pan-Hammarström Q, Park PJ, Pedamallu CS, Pedersen JS, Pederzoli P, Peifer M, Pennell NA, Perou CM, Perry MD, Petersen GM, Peto M, Petrelli N, Pedamallu CS, Petryszak R, Pfister SM, Phillips M, Pich O, Pickett HA, Pihl TD, Pillay N, Pinder S, Pinese M, Pinho AV, Pedersen JS, Pitkänen E, Pivot X, Piñeiro-Yáñez E, Planko L, Plass C, Polak P, Pons T, Popescu I, Potapova O, Prasad A, Siebert R, Preston SR, Prinz M, Pritchard AL, Prokopec SD, Provenzano E, Puente XS, Puig S, Puiggròs M, Pulido-Tamayo S, Pupo GM, Su H, Purdie CA, Quinn MC, Rabionet R, Rader JS, Radlwimmer B, Radovic P, Raeder B, Raine KM, Ramakrishna M, Ramakrishnan K, Tan P, Ramalingam S, Raphael BJ, Rathmell WK, Rausch T, Reifenberger G, Reimand J, Reis-Filho J, Reuter V, Reyes-Salazar I, Reyna MA, Teh BT, Reynolds SM, Rheinbay E, Riazalhosseini Y, Richardson AL, Richter J, Ringel M, Ringnér M, Rino Y, Rippe K, Roach J, Wang J, Roberts LR, Roberts ND, Roberts SA, Robertson AG, Robertson AJ, Rodriguez JB, Rodriguez-Martin B, Rodríguez-González FG, Roehrl MHA, Rohde M, Waszak SM, Rokutan H, Romieu G, Rooman I, Roques T, Rosebrock D, Rosenberg M, Rosenstiel PC, Rosenwald A, Rowe EW, Royo R, Xiong H, Rozen SG, Rubanova Y, Rubin MA, Rubio-Perez C, Rudneva VA, Rusev BC, Ruzzenente A, Rätsch G, Sabarinathan R, Sabelnykova VY, Yakneen S, Sadeghi S, Sahinalp SC, Saini N, Saito-Adachi M, Saksena G, Salcedo A, Salgado R, Salichos L, Sallari R, Saller C, Ye C, Salvia R, Sam M, Samra JS, Sanchez-Vega F, Sander C, Sanders G, Sarin R, Sarrafi I, Sasaki-Oku A, Sauer T, Yung C, Sauter G, Saw RPM, Scardoni M, Scarlett CJ, Scarpa A, Scelo G, Schadendorf D, Schein JE, Schilhabel MB, Schlesner M, Zhang X, Schlomm T, Schmidt HK, Schramm SJ, Schreiber S, Schultz N, Schumacher SE, Schwarz RF, Scolyer RA, Scott D, Scully R, Zheng L, Seethala R, Segre AV, Selander I, Semple CA, Senbabaoglu Y, Sengupta S, Sereni E, Serra S, Sgroi DC, Shackleton M, Zhu J, Shah NC, Shahabi S, Shang CA, Shang P, Shapira O, Shelton T, Shen C, Shen H, Shepherd R, Shi R, Zhu S, Shi Y, Shiah YJ, Shibata T, Shih J, Shimizu E, Shimizu K, Shin SJ, Shiraishi Y, Shmaya T, Shmulevich I, Awadalla P, Shorser SI, Short C, Shrestha R, Shringarpure SS, Shriver C, Shuai S, Sidiropoulos N, Siebert R, Sieuwerts AM, Sieverling L, Creighton CJ, Signoretti S, Sikora KO, Simbolo M, Simon R, Simons JV, Simpson JT, Simpson PT, Singer S, Sinnott-Armstrong N, Sipahimalani P, Meyerson M, Skelly TJ, Smid M, Smith J, Smith-McCune K, Socci ND, Sofia HJ, Soloway MG, Song L, Sood AK, Sothi S, Ouellette BFF, Sotiriou C, Soulette CM, Span PN, Spellman PT, Sperandio N, Spillane AJ, Spiro O, Spring J, Staaf J, Stadler PF, Wu K, Staib P, Stark SG, Stebbings L, Stefánsson ÓA, Stegle O, Stein LD, Stenhouse A, Stewart C, Stilgenbauer S, Stobbe MD, Yang H, Stratton MR, Stretch JR, Struck AJ, Stuart JM, Stunnenberg HG, Su H, Su X, Sun RX, Sungalee S, Susak H, Göke J, Suzuki A, Sweep F, Szczepanowski M, Sültmann H, Yugawa T, Tam A, Tamborero D, Tan BKT, Tan D, Tan P, Schwarz RF, Tanaka H, Taniguchi H, Tanskanen TJ, Tarabichi M, Tarnuzzer R, Tarpey P, Taschuk ML, Tatsuno K, Tavaré S, Taylor DF, Stegle O, Taylor-Weiner A, Teague JW, Teh BT, Tembe V, Temes J, Thai K, Thayer SP, Thiessen N, Thomas G, Thomas S, Zhang Z, Thompson A, Thompson AM, Thompson JFF, Thompson RH, Thorne H, Thorne LB, Thorogood A, Tiao G, Tijanic N, Timms LE, Brazma A, Tirabosco R, Tojo M, Tommasi S, Toon CW, Toprak UH, Torrents D, Tortora G, Tost J, Totoki Y, Townend D, Rätsch G, Traficante N, Treilleux I, Trotta JR, Trümper LHP, Tsao M, Tsunoda T, Tubio JMC, Tucker O, Turkington R, Turner DJ, Brooks AN, Tutt A, Ueno M, Ueno NT, Umbricht C, Umer HM, Underwood TJ, Urban L, Urushidate T, Ushiku T, Uusküla-Reimand L, Brazma A, Valencia A, Van Den Berg DJ, Van Laere S, Van Loo P, Van Meir EG, Van den Eynden GG, Van der Kwast T, Vasudev N, Vazquez M, Vedururu R, Brooks AN, Veluvolu U, Vembu S, Verbeke LPC, Vermeulen P, Verrill C, Viari A, Vicente D, Vicentini C, VijayRaghavan K, Viksna J, Göke J, Vilain RE, Villasante I, Vincent-Salomon A, Visakorpi T, Voet D, Vyas P, Vázquez-García I, Waddell NM, Waddell N, Wadelius C, Rätsch G, Wadi L, Wagener R, Wala JA, Wang J, Wang J, Wang L, Wang Q, Wang W, Wang Y, Wang Z, Schwarz RF, Waring PM, Warnatz HJ, Warrell J, Warren AY, Waszak SM, Wedge DC, Weichenhan D, Weinberger P, Weinstein JN, Weischenfeldt J, Stegle O, Weisenberger DJ, Welch I, Wendl MC, Werner J, Whalley JP, Wheeler DA, Whitaker HC, Wigle D, Wilkerson MD, Williams A, Zhang Z, Wilmott JS, Wilson GW, Wilson JM, Wilson RK, Winterhoff B, Wintersinger JA, Wiznerowicz M, Wolf S, Wong BH, Wong T, Aaltonen LA, Wong W, Woo Y, Wood S, Wouters BG, Wright AJ, Wright DW, Wright MH, Wu CL, Wu DY, Wu G, Abascal F, Wu J, Wu K, Wu Y, Wu Z, Xi L, Xia T, Xiang Q, Xiao X, Xing R, Xiong H, Abeshouse A, Xu Q, Xu Y, Xue H, Yachida S, Yakneen S, Yamaguchi R, Yamaguchi TN, Yamamoto M, Yamamoto S, Yamaue H, Aburatani H, Yang F, Yang H, Yang JY, Yang L, Yang L, Yang S, Yang TP, Yang Y, Yao X, Yaspo ML, Adams DJ, Yates L, Yau C, Ye C, Ye K, Yellapantula VD, Yoon CJ, Yoon SS, Yousif F, Yu J, Yu K, Agrawal N, Yu W, Yu Y, Yuan K, Yuan Y, Yuen D, Yung CK, Zaikova O, Zamora J, Zapatka M, Zenklusen JC, Ahn KS, Zenz T, Zeps N, Zhang CZ, Zhang F, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Ahn SM, Zhang X, Zhang X, Zhang Y, Zhang Z, Zhao Z, Zheng L, Zheng X, Zhou W, Zhou Y, Zhu B, Aikata H, Zhu H, Zhu J, Zhu S, Zou L, Zou X, deFazio A, van As N, van Deurzen CHM, van de Vijver MJ, van’t Veer L, Akbani R, von Mering C, Akdemir KC, Al-Ahmadie H, Al-Sedairy ST, Al-Shahrour F, Alawi M, Albert M, Aldape K, Alexandrov LB, Ally A, Alsop K, Alvarez EG, Amary F, Amin SB, Aminou B, Ammerpohl O, Anderson MJ, Ang Y, Antonello D, Anur P, Aparicio S, Appelbaum EL, Arai Y, Aretz A, Arihiro K, Ariizumi SI, Armenia J, Arnould L, Asa S, Assenov Y, Atwal G, Aukema S, Auman JT, Aure MRR, Awadalla P, Aymerich M, Bader GD, Baez-Ortega A, Bailey MH, Bailey PJ, Balasundaram M, Balu S, Bandopadhayay P, Banks RE, Barbi S, Barbour AP, Barenboim J, Barnholtz-Sloan J, Barr H, Barrera E, Bartlett J, Bartolome J, Bassi C, Bathe OF, Baumhoer D, Bavi P, Baylin SB, Bazant W, Beardsmore D, Beck TA, Behjati S, Behren A, Niu B, Bell C, Beltran S, Benz C, Berchuck A, Bergmann AK, Bergstrom EN, Berman BP, Berney DM, Bernhart SH, Beroukhim R, Berrios M, Bersani S, Bertl J, Betancourt M, Bhandari V, Bhosle SG, Biankin AV, Bieg M, Bigner D, Binder H, Birney E, Birrer M, Biswas NK, Bjerkehagen B, Bodenheimer T, Boice L, Bonizzato G, De Bono JS, Boot A, Bootwalla MS, Borg A, Borkhardt A, Boroevich KA, Borozan I, Borst C, Bosenberg M, Bosio M, Boultwood J, Bourque G, Boutros PC, Bova GS, Bowen DT, Bowlby R, Bowtell DDL, Boyault S, Boyce R, Boyd J, Brazma A, Brennan P, Brewer DS, Brinkman AB, Bristow RG, Broaddus RR, Brock JE, Brock M, Broeks A, Brooks AN, Brooks D, Brors B, Brunak S, Bruxner TJC, Bruzos AL, Buchanan A, Buchhalter I, Buchholz C, Bullman S, Burke H, Burkhardt B, Burns KH, Busanovich J, Bustamante CD, Butler AP, Butte AJ, Byrne NJ, Børresen-Dale AL, Caesar-Johnson SJ, Cafferkey A, Cahill D, Calabrese C, Caldas C, Calvo F, Camacho N, Campbell PJ, Campo E, Cantù C, Cao S, Carey TE, Carlevaro-Fita J, Carlsen R, Cataldo I, Cazzola M, Cebon J, Cerfolio R, Chadwick DE, Chakravarty D, Chalmers D, Chan CWY, Chan K, Chan-Seng-Yue M, Chandan VS, Chang DK, Chanock SJ, Chantrill LA, Chateigner A, Chatterjee N, Chayama K, Chen HW, Chen J, Chen K, Chen Y, Chen Z, Cherniack AD, Chien J, Chiew YE, Chin SF, Cho J, Cho S, Choi JK, Choi W, Chomienne C, Chong Z, Choo SP, Chou A, Christ AN, Christie EL, Chuah E, Cibulskis C, Cibulskis K, Cingarlini S, Clapham P, Claviez A, Cleary S, Cloonan N, Cmero M, Collins CC, Connor AA, Cooke SL, Cooper CS, Cope L, Corbo V, Cordes MG, Cordner SM, Cortés-Ciriano I, Covington K, Cowin PA, Craft B, Craft D, Creighton CJ, Cun Y, Curley E, Cutcutache I, Czajka K, Czerniak B, Dagg RA, Danilova L, Davi MV, Davidson NR, Davies H, Davis IJ, 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Harliwong I, Harmanci AO, Harrington E, Hasegawa T, Haussler D, Hawkins S, Hayami S, Hayashi S, Hayes DN, Hayes SJ, Hayward NK, Hazell S, He Y, Heath AP, Heath SC, Hedley D, Hegde AM, Heiman DI, Heinold MC, Heins Z, Heisler LE, Hellstrom-Lindberg E, Helmy M, Heo SG, Hepperla AJ, Heredia-Genestar JM, Herrmann C, Hersey P, Hess JM, Hilmarsdottir H, Hinton J, Hirano S, Hiraoka N, Hoadley KA, Hobolth A, Hodzic E, Hoell JI, Hoffmann S, Hofmann O, Holbrook A, Holik AZ, Hollingsworth MA, Holmes O, Holt RA, Hong C, Hong EP, Hong JH, Hooijer GK, Hornshøj H, Hosoda F, Hou Y, Hovestadt V, Howat W, Hoyle AP, Hruban RH, Hu J, Hu T, Hua X, Huang KL, Huang M, Huang MN, Huang V, Huang Y, Huber W, Hudson TJ, Hummel M, Hung JA, Huntsman D, Hupp TR, Huse J, Huska MR, Hutter B, Hutter CM, Hübschmann D, Iacobuzio-Donahue CA, Imbusch CD, Imielinski M, Imoto S, Isaacs WB, Isaev K, Ishikawa S, Iskar M, Islam SMA, Ittmann M, Ivkovic S, Izarzugaza JMG, Jacquemier J, Jakrot V, Jamieson NB, Jang GH, Jang SJ, Jayaseelan JC, Jayasinghe R, Jefferys SR, Jegalian K, Jennings JL, Jeon SH, Jerman L, Ji Y, Jiao W, Johansson PA, Johns AL, Johns J, Johnson R, Johnson TA, Jolly C, Joly Y, Jonasson JG, Jones CD, Jones DR, Jones DTW, Jones N, Jones SJM, Jonkers J, Ju YS, Juhl H, Jung J, Juul M, Juul RI, Juul S, Jäger N, Kabbe R, Kahles A, Kahraman A, Kaiser VB, Kakavand H, Kalimuthu S, von Kalle C, Kang KJ, Karaszi K, Karlan B, Karlić R, Karsch D, Kasaian K, Kassahn KS, Katai H, Kato M, Katoh H, Kawakami Y, Kay JD, Kazakoff SH, Kazanov MD, Keays M, Kebebew E, Kefford RF, Kellis M, Kench JG, Kennedy CJ, Kerssemakers JNA, Khoo D, Khoo V, Khuntikeo N, Khurana E, Kilpinen H, Kim HK, Kim HL, Kim HY, Kim H, Kim J, Kim J, Kim JK, Kim Y, King TA, Klapper W, Kleinheinz K, Klimczak LJ, Knappskog S, Kneba M, Knoppers BM, Koh Y, Komorowski J, Komura D, Komura M, Kong G, Kool M, Korbel JO, Korchina V, Korshunov A, Koscher M, Koster R, Kote-Jarai Z, Koures A, Kovacevic M, Kremeyer B, Kretzmer H, Kreuz M, Krishnamurthy S, Kube D, Kumar K, Kumar P, Kumar S, Kumar Y, Kundra R, Kübler K, Küppers R, Lagergren J, Lai PH, Laird PW, Lakhani SR, Lalansingh CM, Lalonde E, Lamaze FC, Lambert A, Lander E, Landgraf P, Landoni L, Langerød A, Lanzós A, Larsimont D, Larsson E, Lathrop M, Lau LMS, Lawerenz C, Lawlor RT, Lawrence MS, Lazar AJ, Lazic AM, Le X, Lee D, Lee D, Lee EA, Lee HJ, Lee JJK, Lee JY, Lee J, Lee MTM, Lee-Six H, Lehmann KV, Lehrach H, Lenze D, Leonard CR, Leongamornlert DA, Leshchiner I, Letourneau L, Letunic I, Levine DA, Lewis L, Ley T, Li C, Li CH, Li HI, Li J, Li L, Li S, Li S, Li X, Li X, Li X, Li Y, Liang H, Liang SB, Lichter P, Lin P, Lin Z, Linehan WM, Lingjærde OC, Liu D, Liu EM, Liu FFF, Liu F, Liu J, Liu X, Livingstone J, Livitz D, Livni N, Lochovsky L, Loeffler M, Long GV, Lopez-Guillermo A, Lou S, Louis DN, Lovat LB, Lu Y, Lu YJ, Lu Y, Luchini C, Lungu I, Luo X, Luxton HJ, Lynch AG, Lype L, López C, López-Otín C, Ma EZ, Ma Y, MacGrogan G, MacRae S, Macintyre G, Madsen T, 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Mustonen V, Mutch D, Muyas F, Muzny DM, Muñoz A, Myers J, Myklebost O, Möller P, Nagae G, Nagrial AM, Nahal-Bose HK, Nakagama H, Nakagawa H, Nakamura H, Nakamura T, Nakano K, Nandi T, Nangalia J, Nastic M, Navarro A, Navarro FCP, Neal DE, Nettekoven G, Newell F, Newhouse SJ, Newton Y, Ng AWT, Ng A, Nicholson J, Nicol D, Nie Y, Nielsen GP, Nielsen MM, Nik-Zainal S, Noble MS, Nones K, Northcott PA, Notta F, O’Connor BD, O’Donnell P, O’Donovan M, O’Meara S, O’Neill BP, O’Neill JR, Ocana D, Ochoa A, Oesper L, Ogden C, Ohdan H, Ohi K, Ohno-Machado L, Oien KA, Ojesina AI, Ojima H, Okusaka T, Omberg L, Ong CK, Ossowski S, Ott G, Ouellette BFF, P’ng C, Paczkowska M, Paiella S, Pairojkul C, Pajic M, Pan-Hammarström Q, Papaemmanuil E, Papatheodorou I, Paramasivam N, Park JW, Park JW, Park K, Park K, Park PJ, Parker JS, Parsons SL, Pass H, Pasternack D, Pastore A, Patch AM, Pauporté I, Pea A, Pearson JV. Author Correction: Genomic basis for RNA alterations in cancer. Nature 2023; 614:E37. [PMID: 36697831 PMCID: PMC9931574 DOI: 10.1038/s41586-022-05596-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
| | - Claudia Calabrese
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Natalie R. Davidson
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.5386.8000000041936877XWeill Cornell Medical College, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Deniz Demircioğlu
- grid.4280.e0000 0001 2180 6431National University of Singapore, Singapore, Singapore ,grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore
| | - Nuno A. Fonseca
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Yao He
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
| | - André Kahles
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Kjong-Van Lehmann
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Fenglin Liu
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
| | - Yuichi Shiraishi
- grid.26999.3d0000 0001 2151 536XThe University of Tokyo, Minato-ku, Japan
| | - Cameron M. Soulette
- grid.205975.c0000 0001 0740 6917University of California, Santa Cruz, Santa Cruz, CA USA
| | - Lara Urban
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Liliana Greger
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Siliang Li
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Dongbing Liu
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Marc D. Perry
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada ,grid.266102.10000 0001 2297 6811University of California, San Francisco, San Francisco, CA USA
| | - Qian Xiang
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Fan Zhang
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
| | - Junjun Zhang
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Peter Bailey
- grid.8756.c0000 0001 2193 314XUniversity of Glasgow, Glasgow, UK
| | - Serap Erkek
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Katherine A. Hoadley
- grid.10698.360000000122483208The University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Yong Hou
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Matthew R. Huska
- grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany
| | - Helena Kilpinen
- grid.83440.3b0000000121901201University College London, London, UK
| | - Jan O. Korbel
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Maximillian G. Marin
- grid.205975.c0000 0001 0740 6917University of California, Santa Cruz, Santa Cruz, CA USA
| | - Julia Markowski
- grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany
| | - Tannistha Nandi
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore
| | - Qiang Pan-Hammarström
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.4714.60000 0004 1937 0626Karolinska Institutet, Stockholm, Sweden
| | - Chandra Sekhar Pedamallu
- grid.66859.340000 0004 0546 1623Broad Institute, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | - Reiner Siebert
- grid.410712.10000 0004 0473 882XUlm University and Ulm University Medical Center, Ulm, Germany
| | - Stefan G. Stark
- grid.5801.c0000 0001 2156 2780ETH Zurich, Zurich, Switzerland ,grid.51462.340000 0001 2171 9952Memorial Sloan Kettering Cancer Center, New York, NY USA ,grid.419765.80000 0001 2223 3006SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland ,grid.412004.30000 0004 0478 9977University Hospital Zurich, Zurich, Switzerland
| | - Hong Su
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Patrick Tan
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Duke-NUS Medical School, Singapore, Singapore
| | - Sebastian M. Waszak
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Christina Yung
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Shida Zhu
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Philip Awadalla
- grid.17063.330000 0001 2157 2938Ontario Institute for Cancer Research, Toronto, Ontario, Canada ,grid.17063.330000 0001 2157 2938University of Toronto, Toronto, Ontario Canada
| | - Chad J. Creighton
- grid.39382.330000 0001 2160 926XBaylor College of Medicine, Houston, TX USA
| | - Matthew Meyerson
- grid.66859.340000 0004 0546 1623Broad Institute, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Medical School, Boston, MA USA
| | | | - Kui Wu
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China ,grid.507779.b0000 0004 4910 5858China National GeneBank-Shenzhen, Shenzhen, China
| | - Huanming Yang
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China
| | | | - Alvis Brazma
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
| | - Angela N. Brooks
- grid.205975.c0000 0001 0740 6917University of California, Santa Cruz, Santa Cruz, CA USA ,grid.66859.340000 0004 0546 1623Broad Institute, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Dana-Farber Cancer Institute, Boston, MA USA
| | - Jonathan Göke
- grid.418377.e0000 0004 0620 715XGenome Institute of Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745National Cancer Centre Singapore, Singapore, Singapore
| | - Gunnar Rätsch
- ETH Zurich, Zurich, Switzerland. .,Memorial Sloan Kettering Cancer Center, New York, NY, USA. .,Weill Cornell Medical College, New York, NY, USA. .,SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland. .,University Hospital Zurich, Zurich, Switzerland.
| | - Roland F. Schwarz
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK ,grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbruck Center for Molecular Medicine, Berlin, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Consortium (DKTK), partner site Berlin, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Oliver Stegle
- grid.225360.00000 0000 9709 7726European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK ,grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Zemin Zhang
- grid.11135.370000 0001 2256 9319Peking University, Beijing, China
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Wang TW, Johmura Y, Suzuki N, Omori S, Migita T, Yamaguchi K, Hatakeyama S, Yamazaki S, Shimizu E, Imoto S, Furukawa Y, Yoshimura A, Nakanishi M. Blocking PD-L1-PD-1 improves senescence surveillance and ageing phenotypes. Nature 2022; 611:358-364. [PMID: 36323784 DOI: 10.1038/s41586-022-05388-4] [Citation(s) in RCA: 96] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 09/27/2022] [Indexed: 11/05/2022]
Abstract
The accumulation of senescent cells is a major cause of age-related inflammation and predisposes to a variety of age-related diseases1. However, little is known about the molecular basis underlying this accumulation and its potential as a target to ameliorate the ageing process. Here we show that senescent cells heterogeneously express the immune checkpoint protein programmed death-ligand 1 (PD-L1) and that PD-L1+ senescent cells accumulate with age in vivo. PD-L1- cells are sensitive to T cell surveillance, whereas PD-L1+ cells are resistant, even in the presence of senescence-associated secretory phenotypes (SASP). Single-cell analysis of p16+ cells in vivo revealed that PD-L1 expression correlated with higher levels of SASP. Consistent with this, administration of programmed cell death protein 1 (PD-1) antibody to naturally ageing mice or a mouse model with normal livers or induced nonalcoholic steatohepatitis reduces the total number of p16+ cells in vivo as well as the PD-L1+ population in an activated CD8+ T cell-dependent manner, ameliorating various ageing-related phenotypes. These results suggest that the heterogeneous expression of PD-L1 has an important role in the accumulation of senescent cells and inflammation associated with ageing, and the elimination of PD-L1+ senescent cells by immune checkpoint blockade may be a promising strategy for anti-ageing therapy.
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Affiliation(s)
- Teh-Wei Wang
- Division of Cancer Cell Biology, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Yoshikazu Johmura
- Division of Cancer Cell Biology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
- Division of Cancer and Senescence Biology, Cancer Research Institute, Kanazawa University, Kakuma, Kanazawa, Japan.
| | - Narumi Suzuki
- Division of Cancer Cell Biology, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Satotaka Omori
- Division of Cancer Cell Biology, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Toshiro Migita
- Division of Cancer Cell Biology, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Kiyoshi Yamaguchi
- Division of Clinical Genome Research, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Seira Hatakeyama
- Division of Clinical Genome Research, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Satoshi Yamazaki
- Division of Stem Cell Biology, Center for Stem Cell Biology and Regenerative Medicine, Institute of Medical Science, University of Tokyo, Tokyo, Japan
- Laboratory of Stem Cell Therapy, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Eigo Shimizu
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Yoichi Furukawa
- Division of Clinical Genome Research, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Akihiko Yoshimura
- Department of Microbiology and Immunology, Keio University School of Medicine, Tokyo, Japan
| | - Makoto Nakanishi
- Division of Cancer Cell Biology, Institute of Medical Science, University of Tokyo, Tokyo, Japan.
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11
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Kazama S, Yokoyama K, Ueki T, Kazumoto H, Satomi H, Sumi M, Ito I, Yusa N, Kasajima R, Shimizu E, Yamaguchi R, Imoto S, Miyano S, Tanaka Y, Denda T, Ota Y, Tojo A, Kobayashi H. Case report: Common clonal origin of concurrent langerhans cell histiocytosis and acute myeloid leukemia. Front Oncol 2022; 12:974307. [PMID: 36185232 PMCID: PMC9523168 DOI: 10.3389/fonc.2022.974307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 08/18/2022] [Indexed: 11/13/2022] Open
Abstract
Langerhans cell histiocytosis (LCH) and acute myeloid leukemia (AML) are distinct entities of blood neoplasms, and the exact developmental origin of both neoplasms are considered be heterogenous among patients. However, reports of concurrent LCH and AML are rare. Herein we report a novel case of concurrent LCH and AML which shared same the driver mutations, strongly suggesting a common clonal origin.An 84-year-old female presented with cervical lymphadenopathy and pruritic skin rash on the face and scalp. Laboratory tests revealed pancytopenia with 13% of blasts, elevated LDH and liver enzymes, in addition to generalised lymphadenopathy and splenomegaly by computed tomography. Bone marrow specimens showed massive infiltration of MPO-positive myeloblasts, whereas S-100 and CD1a positive atypical dendritic cell-like cells accounted for 10% of the atypical cells on bone marrow pathology, suggesting a mixture of LCH and AML. A biopsy specimen from a cervical lymph node and the skin demonstrated the accumulation of atypical cells which were positive for S-100 and CD1a. LCH was found in lymph nodes, skin and bone marrow; AML was found in peripheral blood and bone marrow (AML was predominant compared with LCH in the bone marrow).Next generation sequencing revealed four somatic driver mutations (NRAS-G13D, IDH2-R140Q, and DNMT3A-F640fs/-I715fs), equally shared by both the lymph node and bone marrow, suggesting a common clonal origin for the concurrent LCH and AML. Prednisolone and vinblastine were initially given with partial response in LCH; peripheral blood blasts also disappeared for 3 months. Salvage chemotherapy with low dose cytarabine and aclarubicin were given for relapse, with partial response in both LCH and AML. She died from pneumonia and septicemia on day 384. Our case demonstrates a common cell of origin for LCH and AML with a common genetic mutation, providing evidence to support the proposal to classify histiocytosis, including LCH, as a myeloid/myeloproliferative malignancy.
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Affiliation(s)
- Shintaro Kazama
- Department of Hematology, Nagano Red Cross Hospital, Nagano, Japan
| | - Kazuaki Yokoyama
- Division of Molecular Therapy, Institute of Medical Science, Advanced Clinical Research Center, The University of Tokyo, Tokyo, Japan
- *Correspondence: Kazuaki Yokoyama, ; Arinobu Tojo,
| | - Toshimitsu Ueki
- Department of Hematology, Nagano Red Cross Hospital, Nagano, Japan
| | - Hiroko Kazumoto
- Department of Hematology, Nagano Red Cross Hospital, Nagano, Japan
| | - Hidetoshi Satomi
- Department of Diagnostic Pathology and Cytology, Osaka International Cancer Institute, Osaka, Japan
| | - Masahiko Sumi
- Department of Hematology, Nagano Red Cross Hospital, Nagano, Japan
| | - Ichiro Ito
- Department of Pathology, Nagano Red Cross Hospital, Nagano, Japan
| | - Nozomi Yusa
- Department of Applied Genomics, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Rika Kasajima
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
| | - Eigo Shimizu
- Division of Health Medical Data Science, Health Intelligence Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Rui Yamaguchi
- Division of Cancer Systems Biology, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Seiya Imoto
- Division of Health Medical Data Science, Health Intelligence Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- Department of Integrated Data Science, Medical and Dental Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yukihisa Tanaka
- Department of Diagnostic Pathology, IMSUT Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Tamami Denda
- Department of Diagnostic Pathology, IMSUT Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yasunori Ota
- Department of Diagnostic Pathology, IMSUT Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Arinobu Tojo
- Department of Data Science and Faculty Affairs, Tokyo Medical and Dental University, Tokyo, Japan
- *Correspondence: Kazuaki Yokoyama, ; Arinobu Tojo,
| | - Hikaru Kobayashi
- Department of Hematology, Nagano Red Cross Hospital, Nagano, Japan
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12
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Wang QS, Edahiro R, Namkoong H, Hasegawa T, Shirai Y, Sonehara K, Tanaka H, Lee H, Saiki R, Hyugaji T, Shimizu E, Katayama K, Kanai M, Naito T, Sasa N, Yamamoto K, Kato Y, Morita T, Takahashi K, Harada N, Naito T, Hiki M, Matsushita Y, Takagi H, Ichikawa M, Nakamura A, Harada S, Sandhu Y, Kabata H, Masaki K, Kamata H, Ikemura S, Chubachi S, Okamori S, Terai H, Morita A, Asakura T, Sasaki J, Morisaki H, Uwamino Y, Nanki K, Uchida S, Uno S, Nishimura T, Ishiguro T, Isono T, Shibata S, Matsui Y, Hosoda C, Takano K, Nishida T, Kobayashi Y, Takaku Y, Takayanagi N, Ueda S, Tada A, Miyawaki M, Yamamoto M, Yoshida E, Hayashi R, Nagasaka T, Arai S, Kaneko Y, Sasaki K, Tagaya E, Kawana M, Arimura K, Takahashi K, Anzai T, Ito S, Endo A, Uchimura Y, Miyazaki Y, Honda T, Tateishi T, Tohda S, Ichimura N, Sonobe K, Sassa CT, Nakajima J, Nakano Y, Nakajima Y, Anan R, Arai R, Kurihara Y, Harada Y, Nishio K, Ueda T, Azuma M, Saito R, Sado T, Miyazaki Y, Sato R, Haruta Y, Nagasaki T, Yasui Y, Hasegawa Y, Mutoh Y, Kimura T, Sato T, Takei R, Hagimoto S, Noguchi Y, Yamano Y, Sasano H, Ota S, Nakamori Y, Yoshiya K, Saito F, Yoshihara T, Wada D, Iwamura H, Kanayama S, Maruyama S, Yoshiyama T, Ohta K, Kokuto H, Ogata H, Tanaka Y, Arakawa K, Shimoda M, Osawa T, Tateno H, Hase I, Yoshida S, Suzuki S, Kawada M, Horinouchi H, Saito F, Mitamura K, Hagihara M, Ochi J, Uchida T, Baba R, Arai D, Ogura T, Takahashi H, Hagiwara S, Nagao G, Konishi S, Nakachi I, Murakami K, Yamada M, Sugiura H, Sano H, Matsumoto S, Kimura N, Ono Y, Baba H, Suzuki Y, Nakayama S, Masuzawa K, Namba S, Shiroyama T, Noda Y, Niitsu T, Adachi Y, Enomoto T, Amiya S, Hara R, Yamaguchi Y, Murakami T, Kuge T, Matsumoto K, Yamamoto Y, Yamamoto M, Yoneda M, Tomono K, Kato K, Hirata H, Takeda Y, Koh H, Manabe T, Funatsu Y, Ito F, Fukui T, Shinozuka K, Kohashi S, Miyazaki M, Shoko T, Kojima M, Adachi T, Ishikawa M, Takahashi K, Inoue T, Hirano T, Kobayashi K, Takaoka H, Watanabe K, Miyazawa N, Kimura Y, Sado R, Sugimoto H, Kamiya A, Kuwahara N, Fujiwara A, Matsunaga T, Sato Y, Okada T, Hirai Y, Kawashima H, Narita A, Niwa K, Sekikawa Y, Nishi K, Nishitsuji M, Tani M, Suzuki J, Nakatsumi H, Ogura T, Kitamura H, Hagiwara E, Murohashi K, Okabayashi H, Mochimaru T, Nukaga S, Satomi R, Oyamada Y, Mori N, Baba T, Fukui Y, Odate M, Mashimo S, Makino Y, Yagi K, Hashiguchi M, Kagyo J, Shiomi T, Fuke S, Saito H, Tsuchida T, Fujitani S, Takita M, Morikawa D, Yoshida T, Izumo T, Inomata M, Kuse N, Awano N, Tone M, Ito A, Nakamura Y, Hoshino K, Maruyama J, Ishikura H, Takata T, Odani T, Amishima M, Hattori T, Shichinohe Y, Kagaya T, Kita T, Ohta K, Sakagami S, Koshida K, Hayashi K, Shimizu T, Kozu Y, Hiranuma H, Gon Y, Izumi N, Nagata K, Ueda K, Taki R, Hanada S, Kawamura K, Ichikado K, Nishiyama K, Muranaka H, Nakamura K, Hashimoto N, Wakahara K, Koji S, Omote N, Ando A, Kodama N, Kaneyama Y, Maeda S, Kuraki T, Matsumoto T, Yokote K, Nakada TA, Abe R, Oshima T, Shimada T, Harada M, Takahashi T, Ono H, Sakurai T, Shibusawa T, Kimizuka Y, Kawana A, Sano T, Watanabe C, Suematsu R, Sageshima H, Yoshifuji A, Ito K, Takahashi S, Ishioka K, Nakamura M, Masuda M, Wakabayashi A, Watanabe H, Ueda S, Nishikawa M, Chihara Y, Takeuchi M, Onoi K, Shinozuka J, Sueyoshi A, Nagasaki Y, Okamoto M, Ishihara S, Shimo M, Tokunaga Y, Kusaka Y, Ohba T, Isogai S, Ogawa A, Inoue T, Fukuyama S, Eriguchi Y, Yonekawa A, Kan-o K, Matsumoto K, Kanaoka K, Ihara S, Komuta K, Inoue Y, Chiba S, Yamagata K, Hiramatsu Y, Kai H, Asano K, Oguma T, Ito Y, Hashimoto S, Yamasaki M, Kasamatsu Y, Komase Y, Hida N, Tsuburai T, Oyama B, Takada M, Kanda H, Kitagawa Y, Fukuta T, Miyake T, Yoshida S, Ogura S, Abe S, Kono Y, Togashi Y, Takoi H, Kikuchi R, Ogawa S, Ogata T, Ishihara S, Kanehiro A, Ozaki S, Fuchimoto Y, Wada S, Fujimoto N, Nishiyama K, Terashima M, Beppu S, Yoshida K, Narumoto O, Nagai H, Ooshima N, Motegi M, Umeda A, Miyagawa K, Shimada H, Endo M, Ohira Y, Watanabe M, Inoue S, Igarashi A, Sato M, Sagara H, Tanaka A, Ohta S, Kimura T, Shibata Y, Tanino Y, Nikaido T, Minemura H, Sato Y, Yamada Y, Hashino T, Shinoki M, Iwagoe H, Takahashi H, Fujii K, Kishi H, Kanai M, Imamura T, Yamashita T, Yatomi M, Maeno T, Hayashi S, Takahashi M, Kuramochi M, Kamimaki I, Tominaga Y, Ishii T, Utsugi M, Ono A, Tanaka T, Kashiwada T, Fujita K, Saito Y, Seike M, Watanabe H, Matsuse H, Kodaka N, Nakano C, Oshio T, Hirouchi T, Makino S, Egi M, Omae Y, Nannya Y, Ueno T, Takano T, Katayama K, Ai M, Kumanogoh A, Sato T, Hasegawa N, Tokunaga K, Ishii M, Koike R, Kitagawa Y, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K, Okada Y. The whole blood transcriptional regulation landscape in 465 COVID-19 infected samples from Japan COVID-19 Task Force. Nat Commun 2022; 13:4830. [PMID: 35995775 PMCID: PMC9395416 DOI: 10.1038/s41467-022-32276-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 07/25/2022] [Indexed: 11/12/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19) is a recently-emerged infectious disease that has caused millions of deaths, where comprehensive understanding of disease mechanisms is still unestablished. In particular, studies of gene expression dynamics and regulation landscape in COVID-19 infected individuals are limited. Here, we report on a thorough analysis of whole blood RNA-seq data from 465 genotyped samples from the Japan COVID-19 Task Force, including 359 severe and 106 non-severe COVID-19 cases. We discover 1169 putative causal expression quantitative trait loci (eQTLs) including 34 possible colocalizations with biobank fine-mapping results of hematopoietic traits in a Japanese population, 1549 putative causal splice QTLs (sQTLs; e.g. two independent sQTLs at TOR1AIP1), as well as biologically interpretable trans-eQTL examples (e.g., REST and STING1), all fine-mapped at single variant resolution. We perform differential gene expression analysis to elucidate 198 genes with increased expression in severe COVID-19 cases and enriched for innate immune-related functions. Finally, we evaluate the limited but non-zero effect of COVID-19 phenotype on eQTL discovery, and highlight the presence of COVID-19 severity-interaction eQTLs (ieQTLs; e.g., CLEC4C and MYBL2). Our study provides a comprehensive catalog of whole blood regulatory variants in Japanese, as well as a reference for transcriptional landscapes in response to COVID-19 infection. Genetic mechanisms influencing COVID-19 susceptibility are not well understood. Here, the authors analyzed whole blood RNA-seq data of 465 Japanese individuals with COVID-19, highlighting thousands of fine-mapped variants affecting expression and splicing of genes, as well as the presence of COVID-19 severity-interaction eQTLs.
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Takeda R, Yokoyama K, Fukuyama T, Kawamata T, Ito M, Yusa N, Kasajima R, Shimizu E, Ohno N, Uchimaru K, Yamaguchi R, Imoto S, Miyano S, Tojo A. Repeated Lineage Switches in an Elderly Case of Refractory B-Cell Acute Lymphoblastic Leukemia With MLL Gene Amplification: A Case Report and Literature Review. Front Oncol 2022; 12:799982. [PMID: 35402256 PMCID: PMC8983914 DOI: 10.3389/fonc.2022.799982] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 02/07/2022] [Indexed: 12/11/2022] Open
Abstract
Lineage switches in acute leukemia occur rarely, and the underlying mechanisms are poorly understood. Herein, we report the case of an elderly patient with leukemia in which the leukemia started as B-cell acute lymphoblastic leukemia (B-ALL) and later changed to B- and T-cell mixed phenotype acute leukemia (MPAL) and acute myeloid leukemia (AML) during consecutive induction chemotherapy treatments. A 65-year-old woman was initially diagnosed with Philadelphia chromosome-negative B-ALL primarily expressing TdT/CD34/HLA-DR; more than 20% of the blasts were positive for CD19/CD20/cytoplasmic CD79a/cytoplasmic CD22/CD13/CD71.The blasts were negative for T-lineage markers and myeloperoxidase (MPO). Induction chemotherapy with the standard regimen for B-ALL resulted in primary induction failure. After the second induction chemotherapy regimen, the blasts were found to be B/T bi-phenotypic with additional expression of cytoplasmic CD3. A single course of clofarabine (the fourth induction chemotherapy regimen) dramatically reduced lymphoid marker levels. However, the myeloid markers (e.g., MPO) eventually showed positivity and the leukemia completely changed its lineage to AML. Despite subsequent intensive chemotherapy regimens designed for AML, the patient’s leukemia was uncontrollable and a new monoblastic population emerged. The patient died approximately 8 months after the initial diagnosis without experiencing stable remission. Several cytogenetic and genetic features were commonly identified in the initial diagnostic B-ALL and in the following AML, suggesting that this case should be classified as lineage switching leukemia rather than multiple simultaneous cancers (i.e., de novo B-ALL and de novo AML, or primary B-ALL and therapy-related myeloid neoplasm). A complex karyotype was persistently observed with a hemi-allelic loss of chromosome 17 (the location of the TP53 tumor suppressor gene). As the leukemia progressed, the karyotype became more complex, with the additional abnormalities. Sequential target sequencing revealed an increased variant allele frequency of TP53 mutation. Fluorescent in situ hybridization (FISH) revealed an increased number of mixed-lineage leukemia (MLL) genes, both before and after lineage conversion. In contrast, FISH revealed negativity for MLL rearrangements, which are well-known abnormalities associated with lineage switching leukemia and MPAL. To our best knowledge, this is the first reported case of acute leukemia presenting with lineage ambiguity and MLL gene amplification.
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Affiliation(s)
- Reina Takeda
- Department of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kazuaki Yokoyama
- Department of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- *Correspondence: Kazuaki Yokoyama, ; Arinobu Tojo,
| | - Tomofusa Fukuyama
- Department of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Division of Cellular Therapy, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Toyotaka Kawamata
- Department of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Division of Molecular Therapy, The Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Mika Ito
- Division of Molecular Therapy, The Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Nozomi Yusa
- Department of Applied Genomics, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Rika Kasajima
- Division of Health Medical Data Science, Health Intelligence Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
| | - Eigo Shimizu
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Nobuhiro Ohno
- Department of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Division of Molecular Therapy, The Institute of Medical Science, University of Tokyo, Tokyo, Japan
- Department of Hematology, Kanto Rosai Hospital, Kanagawa, Japan
| | - Kaoru Uchimaru
- Department of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Laboratory of Tumor Cell Biology, Department of Computational Biology and Medical Science, Graduate School of the Frontier Science, The University of Tokyo, Tokyo, Japan
| | - Rui Yamaguchi
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Data Science, Health Intelligence Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Arinobu Tojo
- Department of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Division of Molecular Therapy, The Institute of Medical Science, University of Tokyo, Tokyo, Japan
- *Correspondence: Kazuaki Yokoyama, ; Arinobu Tojo,
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14
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Sahara N, Yokoyama K, Matsunaga T, Kitahara S, Fujii T, Kobayashi S, Yusa N, Shimizu E, Imoto S, Tojo A, Ohno N. Anti-inflammatory effects of ruxolitinib on chronic neutrophilic leukemia harboring CSF3R-T618I mutation with bilateral renal abscesses. Leuk Res Rep 2022; 18:100348. [PMID: 36119729 PMCID: PMC9479014 DOI: 10.1016/j.lrr.2022.100348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 08/24/2022] [Accepted: 09/05/2022] [Indexed: 11/25/2022] Open
Abstract
Chronic neutrophilic leukemia (CNL) is a rare myeloproliferative neoplasm (MPN) characterized by sustained mature neutrophilic leukocytosis. Recently, presence of colony-stimulating factor 3 receptor (CSF3R) mutations has been added to the diagnostic criteria for CNL. Anti-inflammatory effects of the JAK1/2 inhibitor ruxolitinib relieve constitutional symptoms associated with MPN, such as fatigue, night sweats, and fever. We present a case of CNL harboring CSF3R-T618I mutation exacerbated by concomitant bilateral renal abscesses, which was refractory to antibiotics, at the time of initial diagnosis. In this case, ruxolitinib rapidly improved not only CNL but the infection, due to its anti-inflammatory potency.
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15
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Hasegawa T, Hayashi S, Shimizu E, Mizuno S, Niida A, Yamaguchi R, Miyano S, Nakagawa H, Imoto S. Neoantimon: a multifunctional R package for identification of tumor-specific neoantigens. Bioinformatics 2021; 36:4813-4816. [PMID: 33123738 PMCID: PMC7750962 DOI: 10.1093/bioinformatics/btaa616] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 06/23/2020] [Accepted: 07/02/2020] [Indexed: 11/13/2022] Open
Abstract
SUMMARY It is known that some mutant peptides, such as those resulting from missense mutations and frameshift insertions, can bind to the major histocompatibility complex and be presented to antitumor T cells on the surface of a tumor cell. These peptides are termed neoantigen, and it is important to understand this process for cancer immunotherapy. Here, we introduce an R package termed Neoantimon that can predict a list of potential neoantigens from a variety of mutations, which include not only somatic point mutations but insertions, deletions and structural variants. Beyond the existing applications, Neoantimon is capable of attaching and reflecting several additional information, e.g. wild-type binding capability, allele specific RNA expression levels, single nucleotide polymorphism information and combinations of mutations to filter out infeasible peptides as neoantigen. AVAILABILITY AND IMPLEMENTATION The R package is available at http://github/hase62/Neoantimon.
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Affiliation(s)
- Takanori Hasegawa
- Division of Health Medical Data Science, Health Intelligence Center, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Shuto Hayashi
- Laboratory of DNA Information Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Eigo Shimizu
- Laboratory of DNA Information Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Shinichi Mizuno
- Devision of Cancer Research, Center for Advanced Medical Innovation, Kyushu University, Fukuoka 812-8582, Japan
| | - Atsushi Niida
- Division of Health Medical Data Science, Health Intelligence Center, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Rui Yamaguchi
- Laboratory of DNA Information Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Satoru Miyano
- Laboratory of DNA Information Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Hidewaki Nakagawa
- Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Seiya Imoto
- Division of Health Medical Data Science, Health Intelligence Center, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
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16
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Suzuki M, Kasajima R, Yokose T, Ito H, Shimizu E, Hatakeyama S, Yokoyama K, Yamaguchi R, Furukawa Y, Miyano S, Imoto S, Yoshioka E, Washimi K, Okubo Y, Kawachi K, Sato S, Miyagi Y. Comprehensive molecular analysis of genomic profiles and PD-L1 expression in lung adenocarcinoma with a high-grade fetal adenocarcinoma component. Transl Lung Cancer Res 2021; 10:1292-1304. [PMID: 33889510 PMCID: PMC8044470 DOI: 10.21037/tlcr-20-1158] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Background Fetal adenocarcinoma of the lung is a rare variant of lung adenocarcinoma and is subcategorized into low-grade and high-grade (H-FLAC) fetal adenocarcinoma. We previously reported poor prognosis in pulmonary adenocarcinomas with an H-FLAC component; however, the genetic abnormalities involved in H-FLAC remain unclear. Therefore, this study aimed to elucidate molecular abnormalities as potential therapeutic targets for H-FLACs. Methods We performed immunohistochemical analysis and comprehensive genetic analyses using whole-exome sequencing in 16 lung cancer samples with an H-FLAC component. DNA was extracted from formalin-fixed paraffin-embedded tissues after macrodissection of the H-FLAC component. Results Cancer-related mutations were identified in TP53 (7/16 cases), KMT2C (6/16 cases), KRAS (4/16 cases), NF1 (3/16 cases), STK11 (3/16 cases), CTNNB1 (2/16 cases), and EGFR (1/16 cases). A high tumor mutation burden of ≥10 mutations per megabase was observed in 3/16 cases. A high microsatellite instability was not detected in any case. Based on the cosine similarity with the Catalogue of Somatic Mutations in Cancer mutational signatures, H-FLACs were hierarchically clustered into three types: common adenocarcinoma-like (five cases), surfactant-deficient (ten cases), and signatures 2 and 13-related (one case). All common adenocarcinoma-like cases presented thyroid transcription factor-1 (TTF-1) expression, whereas surfactant-deficient cases often presented loss of TTF-1 and surfactant protein expression and included cases with mutations in the surfactant system genes NKX2-1 and SFTPC. H-FLACs displayed low programmed death ligand-1 (PD-L1) expression (1–49% of tumor cells) in 5/16 cases, and no case displayed high PD-L1 expression (≥50% of tumor cells). Conclusions This study indicates that lung cancers with an H-FLAC component rarely harbor currently targetable driver gene mutations for lung cancer but display a high frequency of KMT2C mutations. The microsatellite instability, tumor mutation burden, and PD-L1 expression status suggest a poor response to immune checkpoint therapy.
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Affiliation(s)
- Masaki Suzuki
- Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan
| | - Rika Kasajima
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan.,Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Tomoyuki Yokose
- Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan
| | - Hiroyuki Ito
- Department of Thoracic Surgery, Kanagawa Cancer Center, Yokohama, Japan
| | - Eigo Shimizu
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Seira Hatakeyama
- Division of Clinical Genome Research, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kazuaki Yokoyama
- Department of Hematology/Oncology, Research Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Rui Yamaguchi
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.,Division of Cancer Systems Biology, Aichi Cancer Center Research Institute, Nagoya, Japan.,Division of Cancer Informatics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoichi Furukawa
- Division of Clinical Genome Research, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.,Department of Integrated Data Science, Medical and Dental Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Emi Yoshioka
- Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan
| | - Kota Washimi
- Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan
| | - Yoichiro Okubo
- Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan
| | - Kae Kawachi
- Department of Pathology, Kanagawa Cancer Center, Yokohama, Japan
| | - Shinya Sato
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
| | - Yohei Miyagi
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
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17
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Johmura Y, Yamanaka T, Omori S, Wang TW, Sugiura Y, Matsumoto M, Suzuki N, Kumamoto S, Yamaguchi K, Hatakeyama S, Takami T, Yamaguchi R, Shimizu E, Ikeda K, Okahashi N, Mikawa R, Suematsu M, Arita M, Sugimoto M, Nakayama KI, Furukawa Y, Imoto S, Nakanishi M. Senolysis by glutaminolysis inhibition ameliorates various age-associated disorders. Science 2021; 371:265-270. [DOI: 10.1126/science.abb5916] [Citation(s) in RCA: 103] [Impact Index Per Article: 34.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 09/14/2020] [Accepted: 11/13/2020] [Indexed: 12/14/2022]
Affiliation(s)
- Yoshikazu Johmura
- Division of Cancer Cell Biology, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan
| | - Takehiro Yamanaka
- Division of Cancer Cell Biology, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan
| | - Satotaka Omori
- Division of Cancer Cell Biology, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan
| | - Teh-Wei Wang
- Division of Cancer Cell Biology, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan
| | - Yuki Sugiura
- Department of Biochemistry, Keio University School of Medicine, 35 Shinanomachi, Shinjyuku-ku, Tokyo 160-8582, Japan
| | - Masaki Matsumoto
- Department of Molecular and Cellular Biology, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Narumi Suzuki
- Division of Cancer Cell Biology, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan
| | - Soichiro Kumamoto
- Division of Cancer Cell Biology, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan
| | - Kiyoshi Yamaguchi
- Clinical Genome Research, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan
| | - Seira Hatakeyama
- Clinical Genome Research, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan
| | - Tomoyo Takami
- Department of Molecular and Cellular Biology, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Rui Yamaguchi
- Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan
| | - Eigo Shimizu
- Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan
| | - Kazutaka Ikeda
- RIKEN Center for Integrative Medical Sciences, Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
| | - Nobuyuki Okahashi
- RIKEN Center for Integrative Medical Sciences, Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
| | - Ryuta Mikawa
- Research Institute, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, Aichi 474-8511, Japan
| | - Makoto Suematsu
- Department of Biochemistry, Keio University School of Medicine, 35 Shinanomachi, Shinjyuku-ku, Tokyo 160-8582, Japan
| | - Makoto Arita
- RIKEN Center for Integrative Medical Sciences, Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan
- Division of Physiological Chemistry and Metabolism, Graduate School of Pharmaceutical Sciences, Keio University, Shibakoen, Minato-ku, Tokyo 105-0011, Japan
| | - Masataka Sugimoto
- Research Institute, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, Aichi 474-8511, Japan
| | - Keiichi I. Nakayama
- Department of Molecular and Cellular Biology, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Yoichi Furukawa
- Clinical Genome Research, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan
| | - Seiya Imoto
- Health Intelligence Center, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan
| | - Makoto Nakanishi
- Division of Cancer Cell Biology, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan
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18
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Hijikata Y, Yokoyama K, Yokoyama N, Matsubara Y, Shimizu E, Nakashima M, Yamagishi M, Ota Y, Lim LA, Yamaguchi R, Ito M, Tanaka Y, Denda T, Tani K, Yotsuyanagi H, Imoto S, Miyano S, Uchimaru K, Tojo A. Successful Clinical Sequencing by Molecular Tumor Board in an Elderly Patient With Refractory Sézary Syndrome. JCO Precis Oncol 2020; 4:534-560. [DOI: 10.1200/po.19.00254] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Yasuki Hijikata
- Department of General Medicine, IMSUT Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kazuaki Yokoyama
- Department of Hematology/Oncology, IMSUT Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Nozomi Yokoyama
- Department of Applied Genomics, Research Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yasuo Matsubara
- Department of General Medicine, IMSUT Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Eigo Shimizu
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Makoto Nakashima
- Laboratory of Tumor Cell Biology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Makoto Yamagishi
- Laboratory of Tumor Cell Biology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Yasunori Ota
- Department of Diagnostic Pathology, IMSUT Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Lay Ahyoung Lim
- Department of General Medicine, IMSUT Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Rui Yamaguchi
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Mika Ito
- Division of Molecular Therapy, Advanced Clinical Research Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yukihisa Tanaka
- Department of Diagnostic Pathology, IMSUT Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Tamami Denda
- Department of Diagnostic Pathology, IMSUT Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kenzaburo Tani
- Department of General Medicine, IMSUT Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Hiroshi Yotsuyanagi
- Department of General Medicine, IMSUT Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Data Science, Health Intelligence Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kaoru Uchimaru
- Laboratory of Tumor Cell Biology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Arinobu Tojo
- Department of Hematology/Oncology, IMSUT Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Division of Health Medical Data Science, Health Intelligence Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
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19
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Shimizu S, Mimura J, Hasegawa T, Shimizu E, Imoto S, Tsushima M, Kasai S, Yamazaki H, Ushida Y, Suganuma H, Tomita H, Yamamoto M, Nakaji S, Itoh K. Association of single nucleotide polymorphisms in the NRF2 promoter with vascular stiffness with aging. PLoS One 2020; 15:e0236834. [PMID: 32780748 PMCID: PMC7418968 DOI: 10.1371/journal.pone.0236834] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 07/14/2020] [Indexed: 12/26/2022] Open
Abstract
Purpose Pulse wave velocity (PWV), an indicator of vascular stiffness, increases with age and is increasingly recognized as an independent risk factor for cardiovascular disease (CVD). Although many mechanical and chemical factors underlie the stiffness of the elastic artery, genetic risk factors related to age-dependent increases in PWV in apparently healthy people are largely unknown. The transcription factor nuclear factor E2 (NF-E2)-related factor 2 (Nrf2), which is activated by unidirectional vascular pulsatile shear stress or oxidative stress, regulates vascular redox homeostasis. Previous reports have shown that a SNP in the NRF2 gene regulatory region (−617C>A; hereafter called SNP−617) affects NRF2 gene expression such that the minor A allele confers lower gene expression compared to the C allele, and it is associated with various diseases, including CVD. We aimed to investigate whether SNP−617 affects vascular stiffness with aging in apparently healthy people. Methods Analyzing wide-ranging data obtained from a public health survey performed in Japan, we evaluated whether SNP−617 affected brachial-ankle PWV (baPWV) in never-smoking healthy subjects (n = 642). We also evaluated the effects of SNP−617 on other cardiovascular and blood test measurements. Results We have shown that not only AA carriers (n = 55) but also CA carriers (n = 247) show arterial stiffness compared to CC carriers (n = 340). Furthermore, SNP−617 also affected blood pressure indexes such as systolic blood pressure and mean arterial pressure but not the ankle brachial pressure index, an indicator of atherosclerosis. Multivariate analysis showed that SNP−617 accelerates the incremental ratio of baPWV with age. Conclusions This study is the first to show that SNP−617 affects the age-dependent increase in vascular stiffness. Our results indicate that low NRF2 activity induces premature vascular aging and could be targeted for the prevention of cardiovascular diseases associated with aging.
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Affiliation(s)
- Sunao Shimizu
- Department of Stress Response Science, Center for Advanced Medical Research, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
- Department of Vegetable Life Science, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
- Department of Nature & Wellness Research, Innovation Division, Kagome Co., Ltd. Nasushiobara, Tochigi, Japan
| | - Junsei Mimura
- Department of Stress Response Science, Center for Advanced Medical Research, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Takanori Hasegawa
- Health Intelligence Center, The University of Tokyo, Minato-ku, Tokyo, Japan
| | - Eigo Shimizu
- Human Genome Center, The Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan
| | - Seiya Imoto
- Health Intelligence Center, The University of Tokyo, Minato-ku, Tokyo, Japan
- Human Genome Center, The Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo, Japan
| | - Michiko Tsushima
- Department of Cardiology and Nephrology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Shuya Kasai
- Department of Stress Response Science, Center for Advanced Medical Research, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Hiromi Yamazaki
- Department of Stress Response Science, Center for Advanced Medical Research, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
- Department of Vegetable Life Science, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Yusuke Ushida
- Department of Vegetable Life Science, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Hiroyuki Suganuma
- Department of Vegetable Life Science, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Hirofumi Tomita
- Department of Cardiology and Nephrology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Shigeyuki Nakaji
- Department of Social Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Ken Itoh
- Department of Stress Response Science, Center for Advanced Medical Research, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
- Department of Vegetable Life Science, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
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20
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Eirin M, Carignano H, Shimizu E, Pando MA, Zumárraga M, Magnano G, Macías A, Garbaccio S, Huertas P, Morsella C, Ferrara Muñiz X, Cataldi A, Paolicchi F, Poli M. BoLA-DRB3 exon2 polymorphisms among tuberculous cattle: Nucleotide and functional variability and their association with bovine tuberculosis pathology. Res Vet Sci 2020; 130:118-125. [PMID: 32172000 DOI: 10.1016/j.rvsc.2020.03.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 02/19/2020] [Accepted: 03/02/2020] [Indexed: 10/24/2022]
Abstract
Bovine tuberculosis (bTB) is caused by Mycobacterium bovis and disseminated worldwide. In Argentina, the highest prevalence occurs in dairy areas. BoLA DRB3.2 is related to the adaptive immunity in mycobacterial infections. Genetic polymorphisms of this marker have been associated with resistance or susceptibility to bovine diseases. We evaluated the association between BoLA DRB3.2 polymorphisms and bTB pathology scores in dairy and beef cattle breeds of Argentina. Most bovines exhibited visible lesions compatible with tuberculosis and, furthermore, 150 (85.7%) were also positive by bacteriology. A pathology index showed a variable degree of disease, from 3 to 76 (median pathology score = 9 (IQR: 7-15)). Thirty-five BoLA DRB3.2 alleles were identified with an associated frequency from 16% to 0.3%, distributed 73% (n = 128) in heterozygosis and 27% (n = 47) in homozygosis, with 12 BoLA DRB3.2 alleles (*0101, *1101, *1501, *0201, *2707 *1001, *1002, *1201, *14011, *0501 *0902 and *0701) representing the 74.7% of the population variability. A functional analysis grouped them in 4 out of 5 clusters (A-D), suggesting a functional overlapping. Among the 90 identified genotypes, *1101/*1101, *1101/*1501 and *0101/*0101 were the most frequent (10%, 8.9% and 8.9%, respectively). No association was detected between the pathology scores and a specific DRB3.2 allele (p > .05). Animals infected with M. bovis spoligotype SB0153 showed a significantly higher pathology score than those affected by the spoligotype SB0145 (p = .018). Furthermore, the Aberdeen Angus breed exhibited highest pathological scores (p < .0001), which were associated with disseminated lesion, thus suggesting that the host component could be important to the disease progression.
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Affiliation(s)
- M Eirin
- Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Biotecnología, IABIMO, INTA, CONICET, Buenos Aires, Argentina; CONICET, Argentina.
| | - H Carignano
- Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Genética, Buenos Aires, Argentina.
| | - E Shimizu
- Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Biotecnología, IABIMO, INTA, CONICET, Buenos Aires, Argentina.
| | - M A Pando
- CONICET, Argentina; Instituto de Investigaciones Biomédicas en Retrovirus y SIDA (INBIRS), UBA-CONICET, Facultad de Medicina, Buenos Aires, Argentina.
| | - M Zumárraga
- Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Biotecnología, IABIMO, INTA, CONICET, Buenos Aires, Argentina; CONICET, Argentina.
| | - G Magnano
- Departamento de Patología Animal, Universidad Nacional de Río Cuarto, Facultad de Agronomía y Veterinaria, Córdoba, Argentina.
| | - A Macías
- Departamento de Patología Animal, Universidad Nacional de Río Cuarto, Facultad de Agronomía y Veterinaria, Córdoba, Argentina.
| | - S Garbaccio
- Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Patobiología Veterinaria (IPV), INTA, CONICET, Buenos Aires, Argentina.
| | - P Huertas
- Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Patobiología Veterinaria (IPV), INTA, CONICET, Buenos Aires, Argentina.
| | - C Morsella
- Instituto Nacional de Tecnología Agropecuaria, Estación Experimental Agropecuaria Balcarce, Buenos Aires, Argentina.
| | - X Ferrara Muñiz
- Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Biotecnología, IABIMO, INTA, CONICET, Buenos Aires, Argentina.
| | - A Cataldi
- Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Biotecnología, IABIMO, INTA, CONICET, Buenos Aires, Argentina; CONICET, Argentina.
| | - F Paolicchi
- Instituto Nacional de Tecnología Agropecuaria, Estación Experimental Agropecuaria Balcarce, Buenos Aires, Argentina.
| | - M Poli
- Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Genética, Buenos Aires, Argentina.
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Aaltonen LA, Abascal F, Abeshouse A, Aburatani H, Adams DJ, Agrawal N, Ahn KS, Ahn SM, Aikata H, Akbani R, Akdemir KC, Al-Ahmadie H, Al-Sedairy ST, Al-Shahrour F, Alawi M, Albert M, Aldape K, Alexandrov LB, Ally A, Alsop K, Alvarez EG, Amary F, Amin SB, Aminou B, Ammerpohl O, Anderson MJ, Ang Y, Antonello D, Anur P, Aparicio S, Appelbaum EL, Arai Y, Aretz A, Arihiro K, Ariizumi SI, Armenia J, Arnould L, Asa S, Assenov Y, Atwal G, Aukema S, Auman JT, Aure MRR, Awadalla P, Aymerich M, Bader GD, Baez-Ortega A, Bailey MH, Bailey PJ, Balasundaram M, Balu S, Bandopadhayay P, Banks RE, Barbi S, Barbour AP, Barenboim J, Barnholtz-Sloan J, Barr H, Barrera E, Bartlett J, Bartolome J, Bassi C, Bathe OF, Baumhoer D, Bavi P, Baylin SB, Bazant W, Beardsmore D, Beck TA, Behjati S, Behren A, Niu B, Bell C, Beltran S, Benz C, Berchuck A, Bergmann AK, Bergstrom EN, Berman BP, Berney DM, Bernhart SH, Beroukhim R, Berrios M, Bersani S, Bertl J, Betancourt M, Bhandari V, Bhosle SG, Biankin AV, Bieg M, Bigner D, Binder H, Birney E, Birrer M, Biswas NK, Bjerkehagen B, Bodenheimer T, Boice L, Bonizzato G, De Bono JS, Boot A, Bootwalla MS, Borg A, Borkhardt A, Boroevich KA, Borozan I, Borst C, Bosenberg M, Bosio M, Boultwood J, Bourque G, Boutros PC, Bova GS, Bowen DT, Bowlby R, Bowtell DDL, Boyault S, Boyce R, Boyd J, Brazma A, Brennan P, Brewer DS, Brinkman AB, Bristow RG, Broaddus RR, Brock JE, Brock M, Broeks A, Brooks AN, Brooks D, Brors B, Brunak S, Bruxner TJC, Bruzos AL, Buchanan A, Buchhalter I, Buchholz C, Bullman S, Burke H, Burkhardt B, Burns KH, Busanovich J, Bustamante CD, Butler AP, Butte AJ, Byrne NJ, Børresen-Dale AL, Caesar-Johnson SJ, Cafferkey A, Cahill D, Calabrese C, Caldas C, Calvo F, Camacho N, Campbell PJ, Campo E, Cantù C, Cao S, Carey TE, Carlevaro-Fita J, Carlsen R, Cataldo I, Cazzola M, Cebon J, Cerfolio R, Chadwick DE, Chakravarty D, Chalmers D, Chan CWY, Chan K, Chan-Seng-Yue M, Chandan VS, Chang DK, Chanock SJ, Chantrill LA, Chateigner A, Chatterjee N, Chayama K, Chen HW, Chen J, Chen K, Chen Y, Chen Z, Cherniack AD, Chien J, Chiew YE, Chin SF, Cho J, Cho S, Choi JK, Choi W, Chomienne C, Chong Z, Choo SP, Chou A, Christ AN, Christie EL, Chuah E, Cibulskis C, Cibulskis K, Cingarlini S, Clapham P, Claviez A, Cleary S, Cloonan N, Cmero M, Collins CC, Connor AA, Cooke SL, Cooper CS, Cope L, Corbo V, Cordes MG, Cordner SM, Cortés-Ciriano I, Covington K, Cowin PA, Craft B, Craft D, Creighton CJ, Cun Y, Curley E, Cutcutache I, Czajka K, Czerniak B, Dagg RA, Danilova L, Davi MV, Davidson NR, Davies H, Davis IJ, Davis-Dusenbery BN, Dawson KJ, De La Vega FM, De Paoli-Iseppi R, Defreitas T, Tos APD, Delaneau O, Demchok JA, Demeulemeester J, Demidov GM, Demircioğlu D, Dennis NM, Denroche RE, Dentro SC, Desai N, Deshpande V, Deshwar AG, Desmedt C, Deu-Pons J, Dhalla N, Dhani NC, Dhingra P, Dhir R, DiBiase A, Diamanti K, Ding L, Ding S, Dinh HQ, Dirix L, Doddapaneni H, Donmez N, Dow MT, Drapkin R, Drechsel O, Drews RM, Serge S, Dudderidge T, Dueso-Barroso A, Dunford AJ, Dunn M, Dursi LJ, Duthie FR, Dutton-Regester K, Eagles J, Easton DF, Edmonds S, Edwards PA, Edwards SE, Eeles RA, Ehinger A, Eils J, Eils R, El-Naggar A, Eldridge M, Ellrott K, Erkek S, Escaramis G, Espiritu SMG, Estivill X, Etemadmoghadam D, Eyfjord JE, Faltas BM, Fan D, Fan Y, Faquin WC, Farcas C, Fassan M, Fatima A, Favero F, Fayzullaev N, Felau I, Fereday S, Ferguson ML, Ferretti V, Feuerbach L, Field MA, Fink JL, Finocchiaro G, Fisher C, Fittall MW, Fitzgerald A, Fitzgerald RC, Flanagan AM, Fleshner NE, Flicek P, Foekens JA, Fong KM, Fonseca NA, Foster CS, Fox NS, Fraser M, Frazer S, Frenkel-Morgenstern M, Friedman W, Frigola J, Fronick CC, Fujimoto A, Fujita M, Fukayama M, Fulton LA, Fulton RS, Furuta M, Futreal PA, Füllgrabe A, Gabriel SB, Gallinger S, Gambacorti-Passerini C, Gao J, Gao S, Garraway L, Garred Ø, Garrison E, Garsed DW, Gehlenborg N, Gelpi JLL, George J, Gerhard DS, Gerhauser C, Gershenwald JE, Gerstein M, Gerstung M, Getz G, Ghori M, Ghossein R, Giama NH, Gibbs RA, Gibson B, Gill AJ, Gill P, Giri DD, Glodzik D, Gnanapragasam VJ, Goebler ME, Goldman MJ, Gomez C, Gonzalez S, Gonzalez-Perez A, Gordenin DA, Gossage J, Gotoh K, Govindan R, Grabau D, Graham JS, Grant RC, Green AR, Green E, Greger L, Grehan N, Grimaldi S, Grimmond SM, Grossman RL, Grundhoff A, Gundem G, Guo Q, Gupta M, Gupta S, Gut IG, Gut M, Göke J, Ha G, Haake A, Haan D, Haas S, Haase K, Haber JE, Habermann N, Hach F, Haider S, Hama N, Hamdy FC, Hamilton A, Hamilton MP, Han L, Hanna GB, Hansmann M, Haradhvala NJ, Harismendy O, Harliwong I, Harmanci AO, Harrington E, Hasegawa T, Haussler D, Hawkins S, Hayami S, Hayashi S, Hayes DN, Hayes SJ, Hayward NK, Hazell S, He Y, Heath AP, Heath SC, Hedley D, Hegde AM, Heiman DI, Heinold MC, Heins Z, Heisler LE, Hellstrom-Lindberg E, Helmy M, Heo SG, Hepperla AJ, Heredia-Genestar JM, Herrmann C, Hersey P, Hess JM, Hilmarsdottir H, Hinton J, Hirano S, Hiraoka N, Hoadley KA, Hobolth A, Hodzic E, Hoell JI, Hoffmann S, Hofmann O, Holbrook A, Holik AZ, Hollingsworth MA, Holmes O, Holt RA, Hong C, Hong EP, Hong JH, Hooijer GK, Hornshøj H, Hosoda F, Hou Y, Hovestadt V, Howat W, Hoyle AP, Hruban RH, Hu J, Hu T, Hua X, Huang KL, Huang M, Huang MN, Huang V, Huang Y, Huber W, Hudson TJ, Hummel M, Hung JA, Huntsman D, Hupp TR, Huse J, Huska MR, Hutter B, Hutter CM, Hübschmann D, Iacobuzio-Donahue CA, Imbusch CD, Imielinski M, Imoto S, Isaacs WB, Isaev K, Ishikawa S, Iskar M, Islam SMA, Ittmann M, Ivkovic S, Izarzugaza JMG, Jacquemier J, Jakrot V, Jamieson NB, Jang GH, Jang SJ, Jayaseelan JC, Jayasinghe R, Jefferys SR, Jegalian K, Jennings JL, Jeon SH, Jerman L, Ji Y, Jiao W, Johansson PA, Johns AL, Johns J, Johnson R, Johnson TA, Jolly C, Joly Y, Jonasson JG, Jones CD, Jones DR, Jones DTW, Jones N, Jones SJM, Jonkers J, Ju YS, Juhl H, Jung J, Juul M, Juul RI, Juul S, Jäger N, Kabbe R, Kahles A, Kahraman A, Kaiser VB, Kakavand H, Kalimuthu S, von Kalle C, Kang KJ, Karaszi K, Karlan B, Karlić R, Karsch D, Kasaian K, Kassahn KS, Katai H, Kato M, Katoh H, Kawakami Y, Kay JD, Kazakoff SH, Kazanov MD, Keays M, Kebebew E, Kefford RF, Kellis M, Kench JG, Kennedy CJ, Kerssemakers JNA, Khoo D, Khoo V, Khuntikeo N, Khurana E, Kilpinen H, Kim HK, Kim HL, Kim HY, Kim H, Kim J, Kim J, Kim JK, Kim Y, King TA, Klapper W, Kleinheinz K, Klimczak LJ, Knappskog S, Kneba M, Knoppers BM, Koh Y, Komorowski J, Komura D, Komura M, Kong G, Kool M, Korbel JO, Korchina V, Korshunov A, Koscher M, Koster R, Kote-Jarai Z, Koures A, Kovacevic M, Kremeyer B, Kretzmer H, Kreuz M, Krishnamurthy S, Kube D, Kumar K, Kumar P, Kumar S, Kumar Y, Kundra R, Kübler K, Küppers R, Lagergren J, Lai PH, Laird PW, Lakhani SR, Lalansingh CM, Lalonde E, Lamaze FC, Lambert A, Lander E, Landgraf P, Landoni L, Langerød A, Lanzós A, Larsimont D, Larsson E, Lathrop M, Lau LMS, Lawerenz C, Lawlor RT, Lawrence MS, Lazar AJ, Lazic AM, Le X, Lee D, Lee D, Lee EA, Lee HJ, Lee JJK, Lee JY, Lee J, Lee MTM, Lee-Six H, Lehmann KV, Lehrach H, Lenze D, Leonard CR, Leongamornlert DA, Leshchiner I, Letourneau L, Letunic I, Levine DA, Lewis L, Ley T, Li C, Li CH, Li HI, Li J, Li L, Li S, Li S, Li X, Li X, Li X, Li Y, Liang H, Liang SB, Lichter P, Lin P, Lin Z, Linehan WM, Lingjærde OC, Liu D, Liu EM, Liu FFF, Liu F, Liu J, Liu X, Livingstone J, Livitz D, Livni N, Lochovsky L, Loeffler M, Long GV, Lopez-Guillermo A, Lou S, Louis DN, Lovat LB, Lu Y, Lu YJ, Lu Y, Luchini C, Lungu I, Luo X, Luxton HJ, Lynch AG, Lype L, López C, López-Otín C, Ma EZ, Ma Y, MacGrogan G, MacRae S, Macintyre G, Madsen T, Maejima K, Mafficini A, Maglinte DT, Maitra A, Majumder PP, Malcovati L, Malikic S, Malleo G, Mann GJ, Mantovani-Löffler L, Marchal K, Marchegiani G, Mardis ER, Margolin AA, Marin MG, Markowetz F, Markowski J, Marks J, Marques-Bonet T, Marra MA, Marsden L, Martens JWM, Martin S, Martin-Subero JI, Martincorena I, Martinez-Fundichely A, Maruvka YE, Mashl RJ, Massie CE, Matthew TJ, Matthews L, Mayer E, Mayes S, Mayo M, Mbabaali F, McCune K, McDermott U, McGillivray PD, McLellan MD, McPherson JD, McPherson JR, McPherson TA, Meier SR, Meng A, Meng S, Menzies A, Merrett ND, Merson S, Meyerson M, Meyerson W, Mieczkowski PA, Mihaiescu GL, Mijalkovic S, Mikkelsen T, Milella M, Mileshkin L, Miller CA, Miller DK, Miller JK, Mills GB, Milovanovic A, Minner S, Miotto M, Arnau GM, Mirabello L, Mitchell C, Mitchell TJ, Miyano S, Miyoshi N, Mizuno S, Molnár-Gábor F, Moore MJ, Moore RA, Morganella S, Morris QD, Morrison C, Mose LE, Moser CD, Muiños F, Mularoni L, Mungall AJ, Mungall K, Musgrove EA, Mustonen V, Mutch D, Muyas F, Muzny DM, Muñoz A, Myers J, Myklebost O, Möller P, Nagae G, Nagrial AM, Nahal-Bose HK, Nakagama H, Nakagawa H, Nakamura H, Nakamura T, Nakano K, Nandi T, Nangalia J, Nastic M, Navarro A, Navarro FCP, Neal DE, Nettekoven G, Newell F, Newhouse SJ, Newton Y, Ng AWT, Ng A, Nicholson J, Nicol D, Nie Y, Nielsen GP, Nielsen MM, Nik-Zainal S, Noble MS, Nones K, Northcott PA, Notta F, O’Connor BD, O’Donnell P, O’Donovan M, O’Meara S, O’Neill BP, O’Neill JR, Ocana D, Ochoa A, Oesper L, Ogden C, Ohdan H, Ohi K, Ohno-Machado L, Oien KA, Ojesina AI, Ojima H, Okusaka T, Omberg L, Ong CK, Ossowski S, Ott G, Ouellette BFF, P’ng C, Paczkowska M, Paiella S, Pairojkul C, Pajic M, Pan-Hammarström Q, Papaemmanuil E, Papatheodorou I, Paramasivam N, Park JW, Park JW, Park K, Park K, Park PJ, Parker JS, Parsons SL, Pass H, Pasternack D, Pastore A, Patch AM, Pauporté I, Pea A, Pearson JV, Pedamallu CS, Pedersen JS, Pederzoli P, Peifer M, Pennell NA, Perou CM, Perry MD, Petersen GM, Peto M, Petrelli N, Petryszak R, Pfister SM, Phillips M, Pich O, Pickett HA, Pihl TD, Pillay N, Pinder S, Pinese M, Pinho AV, Pitkänen E, Pivot X, Piñeiro-Yáñez E, Planko L, Plass C, Polak P, Pons T, Popescu I, Potapova O, Prasad A, Preston SR, Prinz M, Pritchard AL, Prokopec SD, Provenzano E, Puente XS, Puig S, Puiggròs M, Pulido-Tamayo S, Pupo GM, Purdie CA, Quinn MC, Rabionet R, Rader JS, Radlwimmer B, Radovic P, Raeder B, Raine KM, Ramakrishna M, Ramakrishnan K, Ramalingam S, Raphael BJ, Rathmell WK, Rausch T, Reifenberger G, Reimand J, Reis-Filho J, Reuter V, Reyes-Salazar I, Reyna MA, Reynolds SM, Rheinbay E, Riazalhosseini Y, Richardson AL, Richter J, Ringel M, Ringnér M, Rino Y, Rippe K, Roach J, Roberts LR, Roberts ND, Roberts SA, Robertson AG, Robertson AJ, Rodriguez JB, Rodriguez-Martin B, Rodríguez-González FG, Roehrl MHA, Rohde M, Rokutan H, Romieu G, Rooman I, Roques T, Rosebrock D, Rosenberg M, Rosenstiel PC, Rosenwald A, Rowe EW, Royo R, Rozen SG, Rubanova Y, Rubin MA, Rubio-Perez C, Rudneva VA, Rusev BC, Ruzzenente A, Rätsch G, Sabarinathan R, Sabelnykova VY, Sadeghi S, Sahinalp SC, Saini N, Saito-Adachi M, Saksena G, Salcedo A, Salgado R, Salichos L, Sallari R, Saller C, Salvia R, Sam M, Samra JS, Sanchez-Vega F, Sander C, Sanders G, Sarin R, Sarrafi I, Sasaki-Oku A, Sauer T, Sauter G, Saw RPM, Scardoni M, Scarlett CJ, Scarpa A, Scelo G, Schadendorf D, Schein JE, Schilhabel MB, Schlesner M, Schlomm T, Schmidt HK, Schramm SJ, Schreiber S, Schultz N, Schumacher SE, Schwarz RF, Scolyer RA, Scott D, Scully R, Seethala R, Segre AV, Selander I, Semple CA, Senbabaoglu Y, Sengupta S, Sereni E, Serra S, Sgroi DC, Shackleton M, Shah NC, Shahabi S, Shang CA, Shang P, Shapira O, Shelton T, Shen C, Shen H, Shepherd R, Shi R, Shi Y, Shiah YJ, Shibata T, Shih J, Shimizu E, Shimizu K, Shin SJ, Shiraishi Y, Shmaya T, Shmulevich I, Shorser SI, Short C, Shrestha R, Shringarpure SS, Shriver C, Shuai S, Sidiropoulos N, Siebert R, Sieuwerts AM, Sieverling L, Signoretti S, Sikora KO, Simbolo M, Simon R, Simons JV, Simpson JT, Simpson PT, Singer S, Sinnott-Armstrong N, Sipahimalani P, Skelly TJ, Smid M, Smith J, Smith-McCune K, Socci ND, Sofia HJ, Soloway MG, Song L, Sood AK, Sothi S, Sotiriou C, Soulette CM, Span PN, Spellman PT, Sperandio N, Spillane AJ, Spiro O, Spring J, Staaf J, Stadler PF, Staib P, Stark SG, Stebbings L, Stefánsson ÓA, Stegle O, Stein LD, Stenhouse A, Stewart C, Stilgenbauer S, Stobbe MD, Stratton MR, Stretch JR, Struck AJ, Stuart JM, Stunnenberg HG, Su H, Su X, Sun RX, Sungalee S, Susak H, Suzuki A, Sweep F, Szczepanowski M, Sültmann H, Yugawa T, Tam A, Tamborero D, Tan BKT, Tan D, Tan P, Tanaka H, Taniguchi H, Tanskanen TJ, Tarabichi M, Tarnuzzer R, Tarpey P, Taschuk ML, Tatsuno K, Tavaré S, Taylor DF, Taylor-Weiner A, Teague JW, Teh BT, Tembe V, Temes J, Thai K, Thayer SP, Thiessen N, Thomas G, Thomas S, Thompson A, Thompson AM, Thompson JFF, Thompson RH, Thorne H, Thorne LB, Thorogood A, Tiao G, Tijanic N, Timms LE, Tirabosco R, Tojo M, Tommasi S, Toon CW, Toprak UH, Torrents D, Tortora G, Tost J, Totoki Y, Townend D, Traficante N, Treilleux I, Trotta JR, Trümper LHP, Tsao M, Tsunoda T, Tubio JMC, Tucker O, Turkington R, Turner DJ, Tutt A, Ueno M, Ueno NT, Umbricht C, Umer HM, Underwood TJ, Urban L, Urushidate T, Ushiku T, Uusküla-Reimand L, Valencia A, Van Den Berg DJ, Van Laere S, Van Loo P, Van Meir EG, Van den Eynden GG, Van der Kwast T, Vasudev N, Vazquez M, Vedururu R, Veluvolu U, Vembu S, Verbeke LPC, Vermeulen P, Verrill C, Viari A, Vicente D, Vicentini C, VijayRaghavan K, Viksna J, Vilain RE, Villasante I, Vincent-Salomon A, Visakorpi T, Voet D, Vyas P, Vázquez-García I, Waddell NM, Waddell N, Wadelius C, Wadi L, Wagener R, Wala JA, Wang J, Wang J, Wang L, Wang Q, Wang W, Wang Y, Wang Z, Waring PM, Warnatz HJ, Warrell J, Warren AY, Waszak SM, Wedge DC, Weichenhan D, Weinberger P, Weinstein JN, Weischenfeldt J, Weisenberger DJ, Welch I, Wendl MC, Werner J, Whalley JP, Wheeler DA, Whitaker HC, Wigle D, Wilkerson MD, Williams A, Wilmott JS, Wilson GW, Wilson JM, Wilson RK, Winterhoff B, Wintersinger JA, Wiznerowicz M, Wolf S, Wong BH, Wong T, Wong W, Woo Y, Wood S, Wouters BG, Wright AJ, Wright DW, Wright MH, Wu CL, Wu DY, Wu G, Wu J, Wu K, Wu Y, Wu Z, Xi L, Xia T, Xiang Q, Xiao X, Xing R, Xiong H, Xu Q, Xu Y, Xue H, Yachida S, Yakneen S, Yamaguchi R, Yamaguchi TN, Yamamoto M, Yamamoto S, Yamaue H, Yang F, Yang H, Yang JY, Yang L, Yang L, Yang S, Yang TP, Yang Y, Yao X, Yaspo ML, Yates L, Yau C, Ye C, Ye K, Yellapantula VD, Yoon CJ, Yoon SS, Yousif F, Yu J, Yu K, Yu W, Yu Y, Yuan K, Yuan Y, Yuen D, Yung CK, Zaikova O, Zamora J, Zapatka M, Zenklusen JC, Zenz T, Zeps N, Zhang CZ, Zhang F, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Zhang X, Zhang X, Zhang Y, Zhang Z, Zhao Z, Zheng L, Zheng X, Zhou W, Zhou Y, Zhu B, Zhu H, Zhu J, Zhu S, Zou L, Zou X, deFazio A, van As N, van Deurzen CHM, van de Vijver MJ, van’t Veer L, von Mering C. Pan-cancer analysis of whole genomes. Nature 2020; 578:82-93. [PMID: 32025007 PMCID: PMC7025898 DOI: 10.1038/s41586-020-1969-6] [Citation(s) in RCA: 1435] [Impact Index Per Article: 358.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2018] [Accepted: 12/11/2019] [Indexed: 02/07/2023]
Abstract
Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale1-3. Here we report the integrative analysis of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). We describe the generation of the PCAWG resource, facilitated by international data sharing using compute clouds. On average, cancer genomes contained 4-5 driver mutations when combining coding and non-coding genomic elements; however, in around 5% of cases no drivers were identified, suggesting that cancer driver discovery is not yet complete. Chromothripsis, in which many clustered structural variants arise in a single catastrophic event, is frequently an early event in tumour evolution; in acral melanoma, for example, these events precede most somatic point mutations and affect several cancer-associated genes simultaneously. Cancers with abnormal telomere maintenance often originate from tissues with low replicative activity and show several mechanisms of preventing telomere attrition to critical levels. Common and rare germline variants affect patterns of somatic mutation, including point mutations, structural variants and somatic retrotransposition. A collection of papers from the PCAWG Consortium describes non-coding mutations that drive cancer beyond those in the TERT promoter4; identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation5,6; analyses timings and patterns of tumour evolution7; describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity8,9; and evaluates a range of more-specialized features of cancer genomes8,10-18.
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Kasajima R, Yamaguchi R, Shimizu E, Tamada Y, Niida A, Tremmel G, Kishida T, Aoki I, Imoto S, Miyano S, Uemura H, Miyagi Y. Variant analysis of prostate cancer in Japanese patients and a new attempt to predict related biological pathways. Oncol Rep 2020; 43:943-952. [PMID: 32020225 DOI: 10.3892/or.2020.7481] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 11/12/2019] [Indexed: 11/06/2022] Open
Abstract
There are regional and/or ethnic differences in tumorigenic pathways among several types of cancer, including prostate cancer (PCa). However, information on genome‑wide gene alterations and the transcriptome is currently only available for PCa patients from Western countries. In order to profile the genetic alterations in Japanese patients with PCa, new panels were created to examine nucleotide sequence variations in 71 selected PCa‑related genes (KCC71) and to detect all fusion RNA transcripts known in PCa (PCaFusion). An analysis of 21 Japanese PCa cases identified 33 different somatic variants in 24 genes in the KCC71 panel, including 2 in SPOP (F102V and F133L), 2 in BRCA2 (I1859fs and R2318ter, resulting in premature termination of the polypeptide), and 1 each in BRAF (K601E), CDH1 (E880K) and RB1 (R621S), as pathogenic alterations. Unexpectedly, the TMPRSS2‑ERG fusion transcript was detected in only 1 case, although the SLC45A3‑ELK4 and USP9Y‑TTTY15 fusion transcripts, known as transcription‑mediated chimeric RNAs, were detected in all examined cases. A new pathway analysis with The Cancer Network Galaxy (TCNG), a cancer gene regulatory network database, was also applied in an attempt to predict molecular pathways implicated in PCa in the Japanese population. Based on the 24 genes having somatic variants identified by the panel analysis as initial seed genes, a putative core network was finally established, including 5 identified genes, namely TNK2, SOX9, CDH1, FOXA1 and TP53, with high commonality from TCNG datasets. These genes are expected to be involved in tumor development, as revealed by the results of an enrichment analysis with Gene Ontology terms. This analysis must be further extended to include more cases in order to verify this method and also to elucidate the characteristics of PCa in Japanese patients.
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Affiliation(s)
- Rika Kasajima
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa 241‑8515, Japan
| | - Rui Yamaguchi
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo 108‑8639, Japan
| | - Eigo Shimizu
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo 108‑8639, Japan
| | - Yoshinori Tamada
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo 108‑8639, Japan
| | - Atsushi Niida
- Division of Health Medical Computational Science, Health Intelligence Center, Institute of Medical Science, University of Tokyo, Tokyo 108‑8639, Japan
| | - George Tremmel
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo 108‑8639, Japan
| | - Takeshi Kishida
- Department of Urology, Kanagawa Cancer Center Hospital, Yokohama, Kanagawa 241‑8515, Japan
| | - Ichiro Aoki
- Niwa Hospital Pathology Section, Odawara, Kanagawa 205‑0042, Japan
| | - Seiya Imoto
- Division of Health Medical Data Science, Health Intelligence Center, Institute of Medical Science, University of Tokyo, Tokyo 108‑8639, Japan
| | - Satoru Miyano
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo 108‑8639, Japan
| | - Hiroji Uemura
- Department of Urology and Renal Transplantation, Yokohama City University Medical Center, Yokohama, Kanagawa 236‑0027, Japan
| | - Yohei Miyagi
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa 241‑8515, Japan
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Takeda R, Yokoyama K, Ogawa M, Kawamata T, Fukuyama T, Kondoh K, Takei T, Nakamura S, Ito M, Yusa N, Shimizu E, Ohno N, Uchimaru K, Yamaguchi R, Imoto S, Miyano S, Tojo A. The first case of elderly TCF3-HLF-positive B-cell acute lymphoblastic leukemia. Leuk Lymphoma 2019; 60:2821-2824. [DOI: 10.1080/10428194.2019.1602267] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Reina Takeda
- Department of Hematology/Oncology, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
- Division of Cellular Therapy, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Kazuaki Yokoyama
- Department of Hematology/Oncology, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Miho Ogawa
- Division of Molecular Therapy, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Toyotaka Kawamata
- Department of Hematology/Oncology, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Tomofusa Fukuyama
- Department of Hematology/Oncology, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
- Division of Cellular Therapy, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Kanya Kondoh
- Department of Hematology/Oncology, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
- Division of Molecular Therapy, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Tomomi Takei
- Division of Molecular Therapy, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Sousuke Nakamura
- Division of Molecular Therapy, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Mika Ito
- Division of Molecular Therapy, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Nozomi Yusa
- Department of Applied Genomics, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Eigo Shimizu
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Nobuhiro Ohno
- Department of Hematology, Kanto Rosai Hospital, Kanagawa, Japan
| | - Kaoru Uchimaru
- Department of Hematology/Oncology, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
- Department of Computational Biology and Medical Science, Laboratory of Tumor Cell Biology, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Rui Yamaguchi
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Data Science, Health Intelligence Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
- Division of Health Medical Data Science, Health Intelligence Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Arinobu Tojo
- Department of Hematology/Oncology, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
- Division of Molecular Therapy, Institute of Medical Science, University of Tokyo, Tokyo, Japan
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24
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Nakamura S, Yokoyama K, Yusa N, Ogawa M, Takei T, Kobayashi A, Ito M, Shimizu E, Kasajima R, Wada Y, Yamaguchi R, Imoto S, Nagamura-Inoue T, Miyano S, Tojo A. Circulating tumor DNA dynamically predicts response and/or relapse in patients with hematological malignancies. Int J Hematol 2018; 108:402-410. [PMID: 29959746 DOI: 10.1007/s12185-018-2487-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [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: 04/10/2018] [Revised: 06/21/2018] [Accepted: 06/25/2018] [Indexed: 12/12/2022]
Abstract
A growing body of evidence suggests that tumor-derived fragmentary DNA, known as circulating tumor DNA (ctDNA), has the potential to serve as a non-invasive biomarker for disease monitoring. However, in the setting of hematological malignancy, few published studies support the utility of ctDNA. We retrospectively investigated ctDNA levels of 17 patients with various hematological malignancies who had achieved remission after first-line therapy. We identified somatic driver mutations by next-generation sequencing, and designed droplet digital PCR assays for each mutation to measure ctDNA. Variant allele frequencies of ctDNA changed in association with clinical response in all patients. Eight patients clinically relapsed after a median of 297 days post-first-line therapy (termed, "relapsed group"); the remaining nine patients remained disease-free for a median of 332 days (termed, "remission group"). Among patients in the relapsed group, ctDNA levels increased more than twofold at paired serial time points. In marked contrast, ctDNA levels of all patients in the remission group remained undetectable or stable during clinical remission. Notably, ctDNA-based molecular relapse demonstrated a median 30-day lead time over clinical relapse. In summary, ctDNA monitoring may help identify hematologic cancer patients at risk for relapse in advance of established clinical parameters.
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Affiliation(s)
- Sousuke Nakamura
- Division of Molecular Therapy, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639, Japan
| | - Kazuaki Yokoyama
- Division of Molecular Therapy, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639, Japan.,Department of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Nozomi Yusa
- Department of Applied Genomics, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Miho Ogawa
- Division of Molecular Therapy, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639, Japan
| | - Tomomi Takei
- Division of Molecular Therapy, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639, Japan
| | - Asako Kobayashi
- Division of Molecular Therapy, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639, Japan
| | - Mika Ito
- Division of Molecular Therapy, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639, Japan
| | - Eigo Shimizu
- Laboratory of DNA Information Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Rika Kasajima
- Health Intelligence Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yuka Wada
- Department of Cell Processing and Transfusion, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Rui Yamaguchi
- Laboratory of DNA Information Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Seiya Imoto
- Health Intelligence Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Tokiko Nagamura-Inoue
- Department of Cell Processing and Transfusion, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- Laboratory of DNA Information Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.,Health Intelligence Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Arinobu Tojo
- Division of Molecular Therapy, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639, Japan. .,Department of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
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25
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Sato R, Shibata T, Tanaka Y, Kato C, Yamaguchi K, Furukawa Y, Shimizu E, Yamaguchi R, Imoto S, Miyano S, Miyake K. Requirement of glycosylation machinery in TLR responses revealed by CRISPR/Cas9 screening. Int Immunol 2018; 29:347-355. [PMID: 28992181 DOI: 10.1093/intimm/dxx044] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [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: 05/25/2017] [Accepted: 07/27/2017] [Indexed: 12/12/2022] Open
Abstract
The Toll family of receptors sense microbial products and activate a defense response. The molecular machinery required for the TLR response is not yet fully understood. In the present study, we used a clustered, regularly interspaced, short palindromic repeats (CRISPR)/CAS9 screening system to study TLR responses. We employed a cell line expressing TLR with an NF-κB-driven GFP reporter. The cell line was transduced with a guide RNA (gRNA) library and stimulated with TLR ligands. The cells impaired in GFP induction were sorted, and gRNAs were sequenced. Identified genes were ranked according to the count of sequence reads and the number of gRNA target sites. The screening system worked correctly, as molecules that were already known to be required for the TLR response were identified by the screening. Furthermore, this system revealed that the oligosaccharide transferase complex (OSTC) mediating co-translational glycosylation was required for TLR5, 7 and 9 responses. Protein expression of TLR5, but not an irrelevant molecule (CD44), was abolished by the lack of OSTC, suggesting the essential role of glycosylation in TLR5 protein stability. These results demonstrate that the screening system established here is able to reveal molecular mechanisms underlying the TLR response.
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Affiliation(s)
- Ryota Sato
- Division of Innate Immunity, Department of Microbiology and Immunology
| | - Takuma Shibata
- Division of Innate Immunity, Department of Microbiology and Immunology
| | - Yu Tanaka
- Division of Innate Immunity, Department of Microbiology and Immunology
| | - Chiharu Kato
- Division of Innate Immunity, Department of Microbiology and Immunology
| | - Kiyoshi Yamaguchi
- Division of Clinical Genome Research, Advanced Clinical Research Center
| | - Yoichi Furukawa
- Division of Clinical Genome Research, Advanced Clinical Research Center
| | - Eigo Shimizu
- Laboratory of DNA Information Analysis, Human Genome Center
| | - Rui Yamaguchi
- Laboratory of DNA Information Analysis, Human Genome Center
| | - Seiya Imoto
- Division of Health Medical Data Science, Human Intelligence Center
| | - Satoru Miyano
- Laboratory of DNA Information Analysis, Human Genome Center
| | - Kensuke Miyake
- Division of Innate Immunity, Department of Microbiology and Immunology.,Laboratory of Innate Immunity, Center for Experimental Medicine and Systems Biology, The Institute of Medical Science, The University of Tokyo, Minato-ku, Tokyo 108-8639, Japan
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26
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Setsu R, Asano K, Numata N, Tanaka M, Ibuki H, Yamamoto T, Uragami R, Matsumoto J, Hirano Y, Iyo M, Shimizu E, Nakazato M. A single-arm pilot study of guided self-help treatment based cognitive behavioral therapy for bulimia nervosa in Japanese clinical settings. BMC Res Notes 2018; 11:257. [PMID: 29695260 PMCID: PMC5918895 DOI: 10.1186/s13104-018-3373-y] [Citation(s) in RCA: 3] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Accepted: 04/21/2018] [Indexed: 11/10/2022] Open
Abstract
Objective Guided self-help treatments based on cognitive behavioral therapy (CBT-GSH) are regarded as a first-line effective treatment for bulimia nervosa (BN). With limited application for CBT-GSH in Japanese clinical settings, we conducted a single arm pilot study in order to confirm the acceptability and availability of CBT-GSH in Japan. Results 25 women with BN received 16–20 sessions of face-to-face CBT-GSH. Primary outcomes were the completion rate of intervention and abstinence rates from objective bingeing and purging as assessed by the Eating Disorder Examination. Secondary outcomes were other self-report measurements of the frequency of bingeing and purging, and characteristic psychopathologies of eating disorders. Assessments were conducted before CBT as baseline as well as after CBT. 92% (23/25) of the participants completed the CBT sessions. After CBT-GSH, 40% (10/25) of the participants (intention-to-treat) achieved symptom abstinence. The mean binge and purge episodes during the previous 28 days improved from 21.88 to 10.96 (50% reduction) and from 22.44 to 10.88 (52% reduction), each (before CBT-GSH to after CBT-GSH), and the within-group effect sizes were medium (Cohen’s d = 0.67, 0.65, each). Our study provided a preliminary evidence about the feasibility of CBT-GSH in Japanese clinical settings for the future. Trial registration This study was registered retrospectively in the national UMIN Clinical Trials Registry on July 10, 2013 (registration ID: UMIN000011120)
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Affiliation(s)
- R Setsu
- Department of Cognitive Behavioral Physiology, Chiba University Graduate School of Medicine, Chiba, Japan
| | - K Asano
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - N Numata
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - M Tanaka
- Department of Cognitive Behavioral Physiology, Chiba University Graduate School of Medicine, Chiba, Japan
| | - H Ibuki
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - T Yamamoto
- Center for Forensic Mental Health, Chiba University, Chiba, Japan
| | - R Uragami
- Institute for Psychological Research, Meiji Gakuin University, Tokyo, Japan
| | - J Matsumoto
- Department of Clinical Cell Biology and Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Y Hirano
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - M Iyo
- Center for Forensic Mental Health, Chiba University, Chiba, Japan.,Department of Psychiatry, Chiba University Graduate School of Medicine, 1-8-1 Inohana, Chuo-ku, Chiba, Chiba, 260-8670, Japan
| | - E Shimizu
- Department of Cognitive Behavioral Physiology, Chiba University Graduate School of Medicine, Chiba, Japan.,Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - M Nakazato
- Department of Psychiatry, Chiba University Graduate School of Medicine, 1-8-1 Inohana, Chuo-ku, Chiba, Chiba, 260-8670, Japan. .,Department of Psychiatry, School of Medicine, International University of Health and Welfare, 4-3 Kozunomori, Narita City, Chiba, 286-8686, Japan.
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27
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Takei T, Yokoyama K, Shimizu E, Konuma T, Takahashi S, Yamaguchi R, Imoto S, Miyano S, Tojo A. Azacitidine effectively reduces TP53-mutant leukemic cell burden in secondary acute myeloid leukemia after cord blood transplantation. Leuk Lymphoma 2018; 59:2755-2756. [PMID: 29648492 DOI: 10.1080/10428194.2018.1443335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Tomomi Takei
- a Division of Molecular Therapy, Advanced Clinical Research Center, the Institute of Medical Science , University of Tokyo , Tokyo , Japan
| | - Kazuaki Yokoyama
- b Department of Hematology/Oncology, Research Hospital, the Institute of Medical Science , University of Tokyo , Tokyo , Japan
| | - Eigo Shimizu
- c Laboratory of DNA Information Analysis, Human Genome Center , Institute of Medical Science, University of Tokyo , Tokyo , Japan
| | - Takaaki Konuma
- b Department of Hematology/Oncology, Research Hospital, the Institute of Medical Science , University of Tokyo , Tokyo , Japan
| | - Satoshi Takahashi
- b Department of Hematology/Oncology, Research Hospital, the Institute of Medical Science , University of Tokyo , Tokyo , Japan
| | - Rui Yamaguchi
- c Laboratory of DNA Information Analysis, Human Genome Center , Institute of Medical Science, University of Tokyo , Tokyo , Japan
| | - Seiya Imoto
- d Division of Health Medical Data Science, Health Intelligence Center , Institute of Medical Science, University of Tokyo , Tokyo , Japan
| | - Satoru Miyano
- c Laboratory of DNA Information Analysis, Human Genome Center , Institute of Medical Science, University of Tokyo , Tokyo , Japan
| | - Arinobu Tojo
- a Division of Molecular Therapy, Advanced Clinical Research Center, the Institute of Medical Science , University of Tokyo , Tokyo , Japan
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28
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Jimbo K, Yokoyama K, Ogawa M, Hirano M, Ochi K, Kobayashi M, Yusa N, Shimizu E, Kawamata T, Yasui H, Ohno N, Yamaguchi R, Imoto S, Furukawa Y, Miyano S, Imai Y, Tojo A. [Autologous peripheral blood stem cell transplantation for double-refractory myeloma with K-RAS and N-RAS mutations]. Rinsho Ketsueki 2018; 58:2380-2385. [PMID: 29332870 DOI: 10.11406/rinketsu.58.2380] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The prognosis of multiple myeloma (MM) has been improved due to the introduction of novel agents like proteasome inhibitors and immunomodulatory drugs (IMiDs). However, some cases are refractory to the use of novel agents, and the prognosis of such cases is poor. A 53-year-old male was diagnosed with MM and categorized as follows: Bence-Jones protein lambda type MM, Durie-Salmon IIIA, international staging system (ISS) stage II, and revised ISS stage II. Mutations in K-RAS and IGH/FGFR3 translocation were detected at diagnosis. His tumor was refractory to seven therapeutic regimens including bortezomib, IMiDs (lenalidomide, thalidomide, pomalidomide), conventional chemotherapy, and radiation therapy. N-RAS mutations, CKS1B gains, and C-MYC split signals were detected after treatment. We performed high-dose melphalan/autologous stem cell transplantation (HD-MEL/ASCT) as a salvage therapy and achieved very good partial response. The correlation between K-RAS mutations and poor prognosis or between N-RAS mutations and reduced sensitivity to bortezomib is reported. However, RAS mutations are reported as a favorable factor for HD-MEL/ASCT. In general, mutations of both the K-RAS and N-RAS are known to be mutually exclusive. This rare MM case has mutations in both K-RAS and N-RAS, and the possible relevance of these mutations to both the refractoriness to novel therapies and sensitivity to HD-MEL/ASCT is suggested.
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Affiliation(s)
- Koji Jimbo
- Department of Hematology/Oncology, Research Hospital, the Institute of Medical Science, the University of Tokyo
| | - Kazuaki Yokoyama
- Department of Hematology/Oncology, Research Hospital, the Institute of Medical Science, the University of Tokyo
| | - Miho Ogawa
- Department of Hematology/Oncology, Research Hospital, the Institute of Medical Science, the University of Tokyo
| | - Mitsuhito Hirano
- Department of Hematology/Oncology, Research Hospital, the Institute of Medical Science, the University of Tokyo
| | - Kiyosumi Ochi
- Department of Hematology/Oncology, Research Hospital, the Institute of Medical Science, the University of Tokyo
| | - Masayuki Kobayashi
- Division of Molecular Therapy, Advanced Research Center, the Institute of Medical Science, the University of Tokyo
| | - Nozomi Yusa
- Department of Applied Genomics, Research Hospital, the Institute of Medical Science, the University of Tokyo
| | - Eigo Shimizu
- Laboratory of DNA Information Analysis, Human Genome Center, the Institute of Medical Science, the University of Tokyo
| | - Toyotaka Kawamata
- Department of Hematology/Oncology, Research Hospital, the Institute of Medical Science, the University of Tokyo
| | - Hiroshi Yasui
- Department of Hematology/Oncology, Research Hospital, the Institute of Medical Science, the University of Tokyo
| | - Nobuhiro Ohno
- Department of Hematology/Oncology, Research Hospital, the Institute of Medical Science, the University of Tokyo
| | - Rui Yamaguchi
- Laboratory of DNA Information Analysis, Human Genome Center, the Institute of Medical Science, the University of Tokyo
| | - Seiya Imoto
- Division of Health Medical Data Science, Health Intelligence Center, the Institute of Medical Science, the University of Tokyo
| | - Yoichi Furukawa
- Department of Applied Genomics, Research Hospital, the Institute of Medical Science, the University of Tokyo
| | - Satoru Miyano
- Laboratory of DNA Information Analysis, Human Genome Center, the Institute of Medical Science, the University of Tokyo
| | - Yoichi Imai
- Department of Hematology/Oncology, Research Hospital, the Institute of Medical Science, the University of Tokyo
| | - Arinobu Tojo
- Department of Hematology/Oncology, Research Hospital, the Institute of Medical Science, the University of Tokyo.,Division of Molecular Therapy, Advanced Research Center, the Institute of Medical Science, the University of Tokyo
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29
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Ogawa M, Yokoyama K, Hirano M, Jimbo K, Ochi K, Kawamata T, Ohno N, Shimizu E, Yokoyama N, Yamaguchi R, Imoto S, Uchimaru K, Takahashi N, Miyano S, Imai Y, Tojo A. Different clonal dynamics of chronic myeloid leukaemia between bone marrow and the central nervous system. Br J Haematol 2017; 183:842-845. [PMID: 29265350 DOI: 10.1111/bjh.15065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Miho Ogawa
- Department of Haematology/Oncology, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Kazuaki Yokoyama
- Department of Haematology/Oncology, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Mitsuhito Hirano
- Department of Haematology/Oncology, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Koji Jimbo
- Department of Haematology/Oncology, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Kiyosumi Ochi
- Department of Haematology/Oncology, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Toyotaka Kawamata
- Department of Haematology/Oncology, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Nobuhiro Ohno
- Department of Haematology/Oncology, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Eigo Shimizu
- Laboratory of DNA Information Analysis, Human Genome Centre, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Nozomi Yokoyama
- Department of Applied Genomics, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Rui Yamaguchi
- Laboratory of DNA Information Analysis, Human Genome Centre, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Data Science, Health Intelligence Centre, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Kaoru Uchimaru
- Department of Haematology/Oncology, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan.,Laboratory of Tumour Cell Biology, Department of Computational Biology and Medical Science, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Naoto Takahashi
- Department of Haematology, Nephrology and Rheumatology, Akita University Graduate School of Medicine, Akita, Japan
| | - Satoru Miyano
- Laboratory of DNA Information Analysis, Human Genome Centre, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Yoichi Imai
- Department of Haematology/Oncology, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Arinobu Tojo
- Department of Haematology/Oncology, Research Hospital, Institute of Medical Science, University of Tokyo, Tokyo, Japan.,Division of Molecular Therapy, Advanced Clinical Research Centre, Institute of Medical Science, University of Tokyo, Tokyo, Japan
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30
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Yokoyama K, Yusa N, Nakamura S, Ito M, Kobayashi A, Kobayashi M, Kasajima R, Yui H, Shimizu E, Niida A, Yamaguti R, Ikenoue T, Imoto S, Frukawa Y, Miyano S, Tojo A. Abstract 736: Cell lineage-oriented clinical sequencing unveils distinct clonal ontogeny of acute myeloid leukemia with myelodysplasia-related changes. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Acute myeloid leukemia (AML) is characterized by unregulated clonal expansion and maturation arrest of myeloid committed progenitors (MP). AML generally represents de novo onset or evolves from preceding myelodysplastic syndrome (MDS), which is defined by refractory cytopenias, clonal hematopoiesis, and/or multi-lineage dysplasia. The WHO classification 2008 includes this entity as “AML with myelodysplasia-related changes (AML-MRC)”, and currently, diagnosis of AML-MRC is based on either previous history of MDS, multi-lineage dysplasia, or MDS-related cytogenetic abnormality. However, AML-MRC often represents de novo onset without these MDS-compatible clinical features. Considering that AML-MRC exhibits rather poor prognosis with refractoriness to conventional chemotherapy against AML, more accurate and objective diagnostic approach is requisite to unveil hidden “MDS signatures” in patients with apparently de novo AML. A certain set of gene mutations is specific and recurrent in MDS. Given the pre-existing “MDS signatures”, the founder gene mutations might be detected in not only blast cells but also neutrophils and/or T cells in AML-MRC. To test this hypothesis, we performed FACS sorting of neutrophils, T cells, and blasts fractions, respectively, followed by mutation screening using targeted deep sequencing, namely, cell lineage-oriented sequencing (CLS). Genomic DNA both from each cell fraction and buccal swab was subjected to screening mutations in 54 genes which are tightly involved in MDS and AML. Pair-end deep sequencing was performed on an Illumina MiSeq, using library prepared by TruSight Myeloid Panel (Illumina, San Diego, CA). Bioinformatic analysis was performed by in-house pipeline. We performed CLS of clinically diagnosed AML-MRC (n=7), suspected AML-MRC (n=2), de novo AML (AML with t(15;17) or AML with inv16, n=4), MDS (RAEB-1 and RAEB-II, n=3), and familial MDS (n=1). As expected, in a familial MDS case, overlapping germline RUNX1 driver mutation was demonstrated in granulocytes, blast cells and T cells, supporting that it would be originated from a hematopoietic stem cell. Notably, in MDS, AML-MRC, and suspected AML-MRC cases with no germ-line mutations, the founder mutations present in neutrophils were also retained in the AML blast cells, irrespective of a history of MDS, suggesting that these are derived from a myeloid progenitor cell. In marked contrast, there were no overlapping driver mutations between blast cell and neutrophil fractions in de novo AML characterized by recurrent chromosomal abnormalities. In summary, CLS revealed that founder mutations are shared by neutrophils and AML blast cells in AML-MRC, but not in de novo AML. Although our data should be validated in a larger cohort of AML cases, CLS is a promising approach to molecular diagnosis of latent AML-MRC which require distinct therapeutic options from de novo AML.
Citation Format: Kazuaki Yokoyama, Nozomi Yusa, Sousuke Nakamura, Mika Ito, Asako Kobayashi, Masayuki Kobayashi, Rika Kasajima, Hiroaki Yui, Eigo Shimizu, Atushi Niida, Rui Yamaguti, Tsuneo Ikenoue, Seiya Imoto, Yoichi Frukawa, Satoru Miyano, Arinobu Tojo. Cell lineage-oriented clinical sequencing unveils distinct clonal ontogeny of acute myeloid leukemia with myelodysplasia-related changes [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 736. doi:10.1158/1538-7445.AM2017-736
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Affiliation(s)
- Kazuaki Yokoyama
- 1Department of Hematology/Oncology, Research Hospital, The Institute of Medical Science, The University of Tokyo (IMSUT), Tokyo, Japan
| | - Nozomi Yusa
- 2Department of Applied Genomics, Research Hospital, IMSUT, Japan
| | - Sousuke Nakamura
- 3Division of Molecular Therapy, Advanced Research Center, IMSUT, Japan
| | - Mika Ito
- 3Division of Molecular Therapy, Advanced Research Center, IMSUT, Japan
| | - Asako Kobayashi
- 3Division of Molecular Therapy, Advanced Research Center, IMSUT, Japan
| | | | | | | | | | | | | | | | | | - Yoichi Frukawa
- 2Department of Applied Genomics, Research Hospital, IMSUT, Japan
| | | | - Arinobu Tojo
- 8Department of Hematology/Oncology, Research Hospital, IMSUT, Japan
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Matsumura S, Quispe-Salcedo A, Schiller CM, Shin JS, Locke BM, Yakar S, Shimizu E. IGF-1 Mediates EphrinB1 Activation in Regulating Tertiary Dentin Formation. J Dent Res 2017; 96:1153-1161. [PMID: 28489485 DOI: 10.1177/0022034517708572] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Eph receptors belong to a subfamily of receptor tyrosine kinases that are activated by membrane-spanning ligands called ephrins. Previously, we demonstrated that the ephrinB1-EphB2 interaction regulates odontogenic/osteogenic differentiation from dental pulp cells (DPCs) in vitro. The goal of this study was to identify the molecular mechanisms regulated by the EphB2/ephrinB1 system that govern tertiary dentin formation in vitro and in vivo. During tooth development, ephrinB1, and EphB2 were expressed in preodontoblast and odontoblasts at postnatal day 4. EphrinB1 was continuously expressed in odontoblasts and odontoblastic processes until the completion of tooth eruption. In addition, ephrinB1 was expressed in odontoblastic processes 2 wk following tooth injury without pulp exposure, whereas EphB2 was expressed in the center of pulp niches but not odontoblasts. In a model of tooth injury with pulp exposure, ephrinB1 was strongly expressed in odontoblasts 4 wk postinjury. In vitro studies with human and mouse DPCs treated with calcium hydroxide (CH) or mineral trioxide aggregate (MTA) showed an increased expression of insulin-like growth factor 1 (IGF-1). Experiments using several inhibitors of IGF-1 receptor signaling revealed that inhibiting the Ras/Raf-1/MAPK pathway inhibited EphB2 expression, and inhibiting the PI3K/Akt/mTOR pathway specifically inhibited ephrinB1 gene expression. Tooth injury in mice with odontoblast-specific IGF-1 receptor ablation exhibited a reduced tertiary dentin volume, mineral density, and ephrinB1 expression 4 wk following injury. We conclude that the IGF-1/ephrinB1 axis plays significant roles in the early stages of tooth injury. Further research is needed to fully understand the potential of targeting ephrinB1 as a regenerative pulp therapy.
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Affiliation(s)
- S Matsumura
- 1 Department of Oral and Maxillofacial Radiology, University of Connecticut Health Center, School of Dental Medicine, Farmington, Connecticut, USA
| | - A Quispe-Salcedo
- 2 Department of Basic Science and Craniofacial Biology, New York University College of Dentistry, New York, New York, USA
| | - C M Schiller
- 2 Department of Basic Science and Craniofacial Biology, New York University College of Dentistry, New York, New York, USA
| | - J S Shin
- 2 Department of Basic Science and Craniofacial Biology, New York University College of Dentistry, New York, New York, USA
| | - B M Locke
- 2 Department of Basic Science and Craniofacial Biology, New York University College of Dentistry, New York, New York, USA
| | - S Yakar
- 2 Department of Basic Science and Craniofacial Biology, New York University College of Dentistry, New York, New York, USA
| | - E Shimizu
- 2 Department of Basic Science and Craniofacial Biology, New York University College of Dentistry, New York, New York, USA.,3 Oral Biology Department, Rutgers School of Dental Medicine, Newark, New Jersey, USA
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Takata M, Tsunoda S, Ogita C, Yokoyama Y, Abe T, Maruoka M, Furukawa T, Yoshikawa T, Tanaka K, Saitou A, Nishioka A, Sekiguti M, Azuma N, Kitano M, Matsui K, Shimizu E, Sano H. AB0365 The Efficacy and Safety of Abatacept as A First Biologics in Japanese Rheumatoid Arthritis Patients Complicated by Pulmonary Involvement. Ann Rheum Dis 2016. [DOI: 10.1136/annrheumdis-2016-eular.2645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Katsuta Y, Kadoya N, Shimizu E, Majima K, Jingu K. SU-F-T-381: Fast Calculation of Three-Dimensional Dose Considering MLC Leaf Positional Errors for VMAT Plans. Med Phys 2016. [DOI: 10.1118/1.4956566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Yamaguchi K, Komura M, Yamaguchi R, Imoto S, Shimizu E, Kasuya S, Shibuya T, Hatakeyama S, Takahashi N, Ikenoue T, Hata K, Tsurita G, Shinozaki M, Suzuki Y, Sugano S, Miyano S, Furukawa Y. Abstract 4921: Next-generation sequencing as a potential tool in the diagnostics of APC mosaicism in FAP patient. Cancer Res 2015. [DOI: 10.1158/1538-7445.am2015-4921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Familial adenomatous polyposis (FAP) is a hereditary disease characterized by the development of multiple adenomatous polyps ranging from hundreds to thousands in the large intestine, and extra-colonic tumors. Patients are predisposed to colorectal cancer that accounts for ∼1% of newly diagnosed colorectal cancer cases. Most of FAP cases result from germline mutations in the tumor suppressor gene APC (adenomatous polyposis coli), but some cases are caused by germline mutations in MUTYH, POLD1, or POLE. The rate of mutation detection depends on the methods used for genetic testing and the genes analyzed in the patients. Although sequence analysis of APC by the Sanger method is routinely performed for genetic testing, there remain cases whose mutations are not detected by the analysis. Next-generation sequencing (NGS) has enabled us to analyze the comprehensive human genome, improving the chance of identifying disease causative variants. In this study, we conducted whole-genome sequencing of a sporadic adenomatous polyposis patient in which we did not find any pathogenic APC mutations by the conventional Sanger sequencing. As a result, whole-genome sequencing and subsequent amplicon-based targeted sequencing identified a mosaic mutation of c.3175G>T, p.E1059X in approximately 12% of his peripheral leucocytes. Additional deep sequencing of his buccal mucosa, hair follicles, non-cancerous mucosa of the stomach and colon disclosed that these tissues harbored the APC mutation at different frequencies. Our data suggest that genetic testing by NGS facilitates the identification of genetic mosaicism responsible for hereditary diseases. NGS will improve genetic diagnosis of hereditary diseases whose mutations have been overlooked by conventional direct sequencing.
Citation Format: Kiyoshi Yamaguchi, Mitsuhiro Komura, Rui Yamaguchi, Seiya Imoto, Eigo Shimizu, Shinichi Kasuya, Tetsuo Shibuya, Seira Hatakeyama, Norihiko Takahashi, Tsuneo Ikenoue, Keisuke Hata, Giichiro Tsurita, Masaru Shinozaki, Yutaka Suzuki, Sumio Sugano, Satoru Miyano, Yoichi Furukawa. Next-generation sequencing as a potential tool in the diagnostics of APC mosaicism in FAP patient. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4921. doi:10.1158/1538-7445.AM2015-4921
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Affiliation(s)
| | | | - Rui Yamaguchi
- 1Univ. of Tokyo Inst. of Medical Science, Tokyo, Japan
| | - Seiya Imoto
- 1Univ. of Tokyo Inst. of Medical Science, Tokyo, Japan
| | - Eigo Shimizu
- 1Univ. of Tokyo Inst. of Medical Science, Tokyo, Japan
| | | | | | | | | | | | - Keisuke Hata
- 1Univ. of Tokyo Inst. of Medical Science, Tokyo, Japan
| | | | | | | | | | - Satoru Miyano
- 1Univ. of Tokyo Inst. of Medical Science, Tokyo, Japan
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Katsuta Y, Kadoya N, Shimizu E, Matsunaga K, Inoue M, Majima K, Jingu K. SU-E-T-67: A Quality Assurance Procedure for VMAT Delivery Technique with Multiple Verification Metric Using TG-119 Protocol. Med Phys 2015. [DOI: 10.1118/1.4924428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Ikenoue T, Yamaguchi K, Komura M, Imoto S, Yamaguchi R, Shimizu E, Kasuya S, Shibuya T, Hatakeyama S, Miyano S, Furukawa Y. Attenuated familial adenomatous polyposis with desmoids caused by an APC mutation. Hum Genome Var 2015; 2:15011. [PMID: 27081525 PMCID: PMC4785566 DOI: 10.1038/hgv.2015.11] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2014] [Revised: 01/13/2015] [Accepted: 01/13/2015] [Indexed: 11/12/2022] Open
Abstract
We present here a case of attenuated familial adenomatous polyposis (AFAP) with a family history of desmoids and thyroid tumors. This patient had no colonic polyps but did have multiple desmoids. Genetic analysis identified a 4-bp deletion in codon 2644 (c.7932_7935delTTAT: p.Tyr2645LysfsX14) of the adenomatous polyposis coli (APC) gene. In cases with limited numbers of colonic polyps and desmoids, AFAP may be caused by a mutation in the 3′ region of APC.
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Affiliation(s)
- Tsuneo Ikenoue
- Division of Clinical Genome Research, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo , Tokyo, Japan
| | - Kiyoshi Yamaguchi
- Division of Clinical Genome Research, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo , Tokyo, Japan
| | - Mitsuhiro Komura
- Laboratory of DNA Information Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo , Tokyo, Japan
| | - Seiya Imoto
- Laboratory of DNA Information Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo , Tokyo, Japan
| | - Rui Yamaguchi
- Laboratory of Sequence Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo , Tokyo, Japan
| | - Eigo Shimizu
- Laboratory of DNA Information Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo , Tokyo, Japan
| | - Shinichi Kasuya
- Laboratory of DNA Information Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo , Tokyo, Japan
| | - Tetsuo Shibuya
- Laboratory of Sequence Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo , Tokyo, Japan
| | - Seira Hatakeyama
- Division of Clinical Genome Research, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo , Tokyo, Japan
| | - Satoru Miyano
- Laboratory of DNA Information Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Laboratory of Sequence Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yoichi Furukawa
- Division of Clinical Genome Research, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo , Tokyo, Japan
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Tomizawa H, Matsuzawa D, Ishii D, Matsuda S, Kawai K, Mashimo Y, Sutoh C, Shimizu E. Methyl-donor deficiency in adolescence affects memory and epigenetic status in the mouse hippocampus. Genes, Brain and Behavior 2015; 14:301-9. [DOI: 10.1111/gbb.12207] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2014] [Revised: 01/29/2015] [Accepted: 02/06/2015] [Indexed: 12/21/2022]
Affiliation(s)
- H. Tomizawa
- Department of Cognitive Behavioral Physiology
| | - D. Matsuzawa
- Department of Cognitive Behavioral Physiology
- Research Center for Child Mental Development, Graduate School of Medicine; Chiba University; Chiba
| | - D. Ishii
- Department of Cognitive Behavioral Physiology
| | - S. Matsuda
- Department of Cognitive Behavioral Physiology
- Department of Ultrastructural Research, National Institute of Neuroscience; National Center of Neurology and Psychiatry; Kodaira
| | - K. Kawai
- Department of Cognitive Behavioral Physiology
| | - Y. Mashimo
- Department of Public Health, Graduate School of Medicine; Chiba University; Chiba Japan
| | - C. Sutoh
- Department of Cognitive Behavioral Physiology
- Research Center for Child Mental Development, Graduate School of Medicine; Chiba University; Chiba
| | - E. Shimizu
- Department of Cognitive Behavioral Physiology
- Research Center for Child Mental Development, Graduate School of Medicine; Chiba University; Chiba
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38
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Yamaguchi K, Komura M, Yamaguchi R, Imoto S, Shimizu E, Kasuya S, Shibuya T, Hatakeyama S, Takahashi N, Ikenoue T, Hata K, Tsurita G, Shinozaki M, Suzuki Y, Sugano S, Miyano S, Furukawa Y. Detection of APC mosaicism by next-generation sequencing in an FAP patient. J Hum Genet 2015; 60:227-31. [PMID: 25716913 DOI: 10.1038/jhg.2015.14] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Revised: 12/15/2014] [Accepted: 01/14/2015] [Indexed: 01/09/2023]
Abstract
Familial adenomatous polyposis (FAP) of the colon is characterized by multiple polyps in the intestine and extra-colonic manifestations. Most FAP cases are caused by a germline mutation in the tumor-suppressor gene APC, but some cases of adenomatous polyposis result from germline mutations in MUTYH, POLD1 or POLE. Although sequence analysis of APC by the Sanger method is routinely performed for genetic testing, there remain cases whose mutations are not detected by the analysis. Next-generation sequencing has enabled us to analyze the comprehensive human genome, improving the chance of identifying disease causative variants. In this study, we conducted whole-genome sequencing of a sporadic FAP patient in which we did not find any pathogenic APC mutations by the conventional Sanger sequencing. Whole-genome sequencing and subsequent deep sequencing identified a mosaic mutation of c.3175G>T, p.E1059X in ~12% of his peripheral leukocytes. Additional deep sequencing of his buccal mucosa, hair follicles, non-cancerous mucosa of the stomach and colon disclosed that these tissues harbored the APC mutation at different frequencies. Our data implied that genetic analysis by next-generation sequencing is an effective strategy to identify genetic mosaicism in hereditary diseases.
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Affiliation(s)
- Kiyoshi Yamaguchi
- Division of Clinical Genome Research, Advanced Clinical Research Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Mitsuhiro Komura
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Rui Yamaguchi
- Laboratory of Sequence Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Seiya Imoto
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Eigo Shimizu
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Shinichi Kasuya
- Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Tetsuo Shibuya
- Laboratory of Sequence Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Seira Hatakeyama
- Division of Clinical Genome Research, Advanced Clinical Research Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Norihiko Takahashi
- Division of Clinical Genome Research, Advanced Clinical Research Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Tsuneo Ikenoue
- Division of Clinical Genome Research, Advanced Clinical Research Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Keisuke Hata
- Department of Surgery, Research Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Giichiro Tsurita
- Department of Surgery, Research Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Masaru Shinozaki
- Department of Surgery, Research Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yutaka Suzuki
- Department of Computational Biology, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan
| | - Sumio Sugano
- Laboratory of Functional Genomics, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- 1] Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan [2] Laboratory of Sequence Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yoichi Furukawa
- Division of Clinical Genome Research, Advanced Clinical Research Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
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Katsuta Y, Shimizu E, Matsunaga K, Inoue M, Suzuki Y, Takamura G, Hayakawa T, Majima K. Plan Quality Assurance of VMAT for Prostate Cancers in a Digitally Integrated and Controlled Linear Accelerator Using Log Files. Int J Radiat Oncol Biol Phys 2014. [DOI: 10.1016/j.ijrobp.2014.05.2146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Katsuta Y, Shimizu E, Matsunaga K, Majima K. SU-E-T-261: Plan Quality Assurance of VMAT Using Fluence Images Reconstituted From Log-Files. Med Phys 2014. [DOI: 10.1118/1.4888592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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41
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Ueda Y, Yamasita H, Tomita K, Kosyoubu T, Yoshimasa S, Kazunori H, Hamazoe R, Sakamoto T, Morita M, Shimizu E. Retrospective Study of Chemotherapy in Lung Cancer Patients Complicated Interstitial Pneumonia. Ann Oncol 2013. [DOI: 10.1093/annonc/mdt460.19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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42
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Kodani M, Igishi T, Sakamoto T, Touge H, Izumi H, Ito S, Kurai J, Yamaguchi K, Nakamoto M, Shimizu E. Rechallenge with EGFR-TKI after a Drug Holiday, Retrospective Study in Single Institution. Ann Oncol 2013. [DOI: 10.1093/annonc/mdt459.60] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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43
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Nagata Y, Shimizu E, Hibio N, Ui-Tei K. Fluctuation of global gene expression by endogenous miRNA response to the introduction of an exogenous miRNA. Int J Mol Sci 2013; 14:11171-89. [PMID: 23712357 PMCID: PMC3709726 DOI: 10.3390/ijms140611171] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2013] [Revised: 04/15/2013] [Accepted: 05/06/2013] [Indexed: 12/21/2022] Open
Abstract
Most of the intracellular endogenous microRNAs (endo-miRNAs) are considered to be saturated in Argonaute (Ago) proteins in the RNA-induced silencing complexes (RISCs). When exogenous miRNAs (exo-miRNAs) are introduced into cells, endo-miRNAs in the RISC may be replaced with exo-miRNAs or exo-miRNAs, and endo-miRNAs might also compete for the position in the newly synthesized RISC with each other. This would lead to the fluctuation of global gene expression not only by repression of exo-miRNA target gene expression, but also by the increase of the endo-miRNA target gene expression. In the present study, we quantified the changes in the expression levels of target genes of exo-miRNA and endo-miRNA in the cells transfected with fifteen different exo-miRNAs by microarray experiments. Different exo-miRNAs increased ratios of expression levels of target genes of a given endo-miRNA to different extents, suggesting that the replacement efficiencies might differ according to the exo-miRNA types. However, the increased ratios in the expression levels of each endo-miRNA target genes by the transfection of any particular exo-miRNA were mostly equivalent, suggesting that the endo-miRNAs present in the RISC might be replaced with excessive exo-miRNAs at similar levels, probably because they exist in single-stranded forms in the RISC.
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Affiliation(s)
- Yoshiro Nagata
- Department of Computational Biology, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba-ken 277-8561, Japan; E-Mails: (Y.N.); (N.H.)
| | - Eigo Shimizu
- Department of Biophysics and Biochemistry, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; E-Mail:
| | - Naoki Hibio
- Department of Computational Biology, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba-ken 277-8561, Japan; E-Mails: (Y.N.); (N.H.)
| | - Kumiko Ui-Tei
- Department of Computational Biology, Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba-ken 277-8561, Japan; E-Mails: (Y.N.); (N.H.)
- Department of Biophysics and Biochemistry, Graduate School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan; E-Mail:
- Author to whom correspondence should be addressed; E-Mail: ; Tel.: +81-3-5841-3043; Fax: +81-3-5841-3044
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Hibio N, Hino K, Shimizu E, Nagata Y, Ui-Tei K. Stability of miRNA 5'terminal and seed regions is correlated with experimentally observed miRNA-mediated silencing efficacy. Sci Rep 2012; 2:996. [PMID: 23251782 PMCID: PMC3524778 DOI: 10.1038/srep00996] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2012] [Accepted: 11/30/2012] [Indexed: 02/07/2023] Open
Abstract
MicroRNAs (miRNAs) are key regulators of sequence-specific gene silencing. However, crucial
factors that determine the efficacy of miRNA-mediated target gene silencing are poorly
understood. Here we mathematized base-pairing stability and showed that miRNAs with an
unstable 5′ terminal duplex and stable seed-target duplex exhibit strong silencing activity.
The results are consistent with the previous findings that an RNA strand with unstable 5′
terminal in miRNA duplex easily loads onto the RNA-induced silencing complex (RISC), and
miRNA recognizes target mRNAs with seed-complementary sequences to direct
posttranscriptional repression. Our results suggested that both the unwinding and target
recognition processes of miRNAs could be proficiently controlled by the thermodynamics of
base-pairing in protein-free condition. Interestingly, such thermodynamic parameters might
be evolutionarily well adapted to the body temperatures of various species.
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Affiliation(s)
- Naoki Hibio
- Department of Computational Biology, Graduate School of Frontier Sciences, University of Tokyo , 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba-ken 277-8561, Japan
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Abstract
Bisphosphonates are therapeutic agents in the treatment of post-menopausal osteoporosis. Although they have been associated with delayed healing in injured tissues, inappropriate femoral fractures, and osteonecrosis of the jaw (ONJ), the pathophysiological mechanisms involved are not clear. Our hypothesis is that alendronate, a member of the N-containing bisphosphonates, indirectly inhibits osteoblast function through the coupling of osteoclasts to osteoblasts by ephrinB-EphB interaction. We found that alendronate increased gene and protein expression of ephrinB1 and EphB1, as well as B3, in femurs of adult mice injected with alendronate (10 µg/100 g/wk) for 8 weeks. Alendronate suppressed the expression of bone sialoprotein (BSP) and osteonectin in both femurs and bone marrow osteoblastic cells of mice. After elimination of pre-osteoclasts from bone marrow cells, alendronate did not affect osteoblast differentiation, indicating the need for pre-osteoclasts for alendronate's effects. Alendronate stimulated EphB1 and EphB3 protein expression in osteoblasts, whereas it enhanced ephrinB1 protein in pre-osteoclasts. In addition, a reverse signal by ephrinB1 inhibited osteoblast differentiation and suppressed BSP gene expression. Thus, alendronate, through its direct effects on the pre-osteoclast, appears to regulate expression of ephrinB1, which regulates and acts through the EphB1, B3 receptors on the osteoblast to suppress osteoblast differentiation.
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Affiliation(s)
- E Shimizu
- New York University College of Dentistry, Department of Basic Science and Craniofacial Biology, USA.
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Kurayama T, Matsuzawa D, Komiya Z, Nakazawa K, Suto C, Shimizu E. P19-1 Differences of P50 suprression under two distinct signals in human fear conditioning paradigm. Clin Neurophysiol 2010. [DOI: 10.1016/s1388-2457(10)60879-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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47
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Ohtsuka H, Sasada S, Nakajima T, Futatsubashi G, Shimizu E, Komiyama T. P13-2 Modulation of cutaneous reflexes during preparation of the contralateral finger movement. Clin Neurophysiol 2010. [DOI: 10.1016/s1388-2457(10)60733-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Yamamoto T, Sakakibara R, Nakazawa K, Uchiyama T, Ito T, Liu Z, Shimizu E, Hattori T, Kuwabara S. P3.15 Dopamine D1 agonist inhibit the bladder contraction and change the activity of striatal bladder relaxation phase related neurons in cats. Auton Neurosci 2009. [DOI: 10.1016/j.autneu.2009.05.163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Suyama H, Shigeoka Y, Igishi T, Matsumoto S, Kodani M, Takeda K, Sumikawa T, Morita M, Ueda Y, Shimizu E. A phase I trial of S-1 plus vinorelbine in patients with unresectable advanced or metastatic non-small cell lung cancer. J Clin Oncol 2009. [DOI: 10.1200/jco.2009.27.15_suppl.e19098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e19098 Background: We reported the efficacy of the combination treatment of tegafur-uracil (UFT) and vinorelbine (VNR) for the elderly patients (pts) (>70) with advanced non-small cell lung cancer (NSCLC) in ASCO 2007 (Abstract - No. 18075). Although the cisplatin-based doublets are still milestone for the pts with advanced NSCLC, non-platinum based doublet regimens remain as a matter of development judging from recent meta-analysis. Tegafur-5-chloro-2,4-dihydroxypyridine-potassium oxonate (S-1), a new oral fluoropyrimidine, has been studied extensively, and appears promising for various kinds of cancers including NSCLC. Thus, we conducted this phase I trial using VNR and new oral fluoropyrimidine, S-1. Methods: Pts with advanced NSCLC, who had received at least one prior platinum-containing regimen, were eligible. In this phase I study, VNR was infused on days 1 and 8, and S-1 was administered from day 2 to day 6 and from day 9 to day 13 of a 3-week cycle. The starting dose of S-1 was 80 mg/m2/day and, if necessary, the dose was decreased to 65 mg/m2/day; VNR was increased from 20 to 25 mg/m2 in this trial. Results: From August 14, 2007 to April 1, 2008, 8 pts enrolled in this study. Median age was 61 (range 49–75). Dose limiting toxicity (DLT) was evaluated during the first 6 weeks of the treatment. No DLT was observed at dose level I (80 mg/m2/day S-1, 20 mg/m2 VNR). At dose level II (80 mg/m2/day S-1, 25 mg/m2 VNR), DLT in the form of neutropenia, hyperglycemia and hyponatremia was observed in 3 of 5 pts. The maximum tolerated dose (MTD) for the present treatment was 80 mg/m2/day S-1 and 25 mg/m2 VNR; the recommended tolerable dose for future phase II trials is therefore 80 mg/m2/day S-1 and 20 mg/m2 VNR. Conclusions: Three-week cycle of VNR (20 mg/m2), infused on days 1 and 8; S-1 (80 mg/m2/day), administered from day 2 to day 6 and from day 9 to day 13, is being examined in our phase II trial for first-or second-line treatment of NSCLC. No significant financial relationships to disclose.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Y. Ueda
- Tottori University, Yonago, Japan
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Burioka N, Koyanagi S, Endo M, Takata M, Fukuoka Y, Miyata M, Takeda K, Chikumi H, Ohdo S, Shimizu E. Clock gene dysfunction in patients with obstructive sleep apnoea syndrome. Eur Respir J 2008; 32:105-12. [PMID: 18321934 DOI: 10.1183/09031936.00138207] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Clock genes regulate mammalian circadian rhythms, and dysfunction of clock genes can contribute to various disorders. To investigate whether obstructive sleep apnoea syndrome (OSAS) influences clock gene function, the present authors examined Period1 (Per1) mRNA expression in vitro and in vivo. In eight healthy subjects and eight OSAS patients, plasma noradrenaline, serum interleukin (IL)-6, high-sensitivity C-reactive protein (hsCRP) and Per1 mRNA expression in peripheral whole blood were measured. Expression of Per1 mRNA in cultured cells was examined under IL-6 or noradrenaline stimulation in vitro. After noradrenaline was administered to mice in vivo, Per1 mRNA expression in the brain was examined. The concentrations of serum IL-6, hsCRP and plasma noradrenaline were elevated in OSAS patients, but improved by continuous positive airway pressure (CPAP) therapy. Per1 mRNA expression in the peripheral blood significantly decreased at 02:00 h by CPAP in OSAS patients. Stimulation with IL-6 did not directly induce Per1 mRNA in vitro. Administration of noradrenaline induced Per1 mRNA in the cerebral cortex of mice in vivo. The current study revealed that obstructive sleep apnoea syndrome caused clock gene dysfunction, and continuous positive airway pressure helped to improve it. Sympathetic activation and elevation of the plasma noradrenaline concentration in obstructive sleep apnoea syndrome may be one of the factors involved in disorders of Period1 mRNA expression.
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Affiliation(s)
- N Burioka
- Division of Medical Oncology and Molecular Respirology, Faculty of Medicine, Tottori University, 36-1 Nishimachi, Yonago 683-8504, Japan.
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