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Satake D, Natsumeda M, Satomi K, Tada M, Sato T, Okubo N, Kawabe K, Takahashi H, Tsukamoto Y, Okada M, Sano M, Iwabuchi H, Shibata N, Imamura M, Imai C, Takami H, Ichimura K, Nishikawa R, Umezu H, Kakita A, Oishi M. Successful Multimodal Treatment of Intracranial Growing Teratoma Syndrome with Malignant Features. Curr Oncol 2024; 31:1831-1838. [PMID: 38668041 PMCID: PMC11049495 DOI: 10.3390/curroncol31040138] [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: 02/16/2024] [Revised: 03/19/2024] [Accepted: 03/28/2024] [Indexed: 04/28/2024] Open
Abstract
Molecular analysis of the growing teratoma syndrome has not been extensively studied. Here, we report a 14-year-old boy with a growing mass during treatment for a mixed germ cell tumor of the pineal region. Tumor markers were negative; thus, growing teratoma syndrome was suspected. A radical resection via the occipital transtentorial approach was performed, and histopathological examination revealed a teratoma with malignant features. Methylation classifier analysis confirmed the diagnosis of teratoma, and DMRT1 loss and 12p gain were identified by copy number variation analysis, potentially elucidating the cause of growth and malignant transformation of the teratoma. The patient remains in remission after intense chemoradiation treatment as a high-risk germ cell tumor.
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Affiliation(s)
- Daiken Satake
- Department of Neurosurgery, Brain Research Institute, Niigata University, Niigata 951-8585, Japan; (D.S.); (T.S.); (N.O.); (K.K.); (H.T.); (Y.T.); (M.O.); (M.S.); (M.O.)
| | - Manabu Natsumeda
- Department of Neurosurgery, Brain Research Institute, Niigata University, Niigata 951-8585, Japan; (D.S.); (T.S.); (N.O.); (K.K.); (H.T.); (Y.T.); (M.O.); (M.S.); (M.O.)
- Advanced Treatment of Neurological Diseases Branch, Brain Research Institute, Niigata University, Niigata 951-8585, Japan
| | - Kaishi Satomi
- Department of Pathology, Kyorin University Faculty of Medicine, Tokyo 181-8611, Japan;
| | - Mari Tada
- Department of Pathology, Brain Research Institute, Niigata University, Niigata 951-8585, Japan; (M.T.); (A.K.)
| | - Taro Sato
- Department of Neurosurgery, Brain Research Institute, Niigata University, Niigata 951-8585, Japan; (D.S.); (T.S.); (N.O.); (K.K.); (H.T.); (Y.T.); (M.O.); (M.S.); (M.O.)
| | - Noritaka Okubo
- Department of Neurosurgery, Brain Research Institute, Niigata University, Niigata 951-8585, Japan; (D.S.); (T.S.); (N.O.); (K.K.); (H.T.); (Y.T.); (M.O.); (M.S.); (M.O.)
| | - Keita Kawabe
- Department of Neurosurgery, Brain Research Institute, Niigata University, Niigata 951-8585, Japan; (D.S.); (T.S.); (N.O.); (K.K.); (H.T.); (Y.T.); (M.O.); (M.S.); (M.O.)
| | - Haruhiko Takahashi
- Department of Neurosurgery, Brain Research Institute, Niigata University, Niigata 951-8585, Japan; (D.S.); (T.S.); (N.O.); (K.K.); (H.T.); (Y.T.); (M.O.); (M.S.); (M.O.)
| | - Yoshihiro Tsukamoto
- Department of Neurosurgery, Brain Research Institute, Niigata University, Niigata 951-8585, Japan; (D.S.); (T.S.); (N.O.); (K.K.); (H.T.); (Y.T.); (M.O.); (M.S.); (M.O.)
| | - Masayasu Okada
- Department of Neurosurgery, Brain Research Institute, Niigata University, Niigata 951-8585, Japan; (D.S.); (T.S.); (N.O.); (K.K.); (H.T.); (Y.T.); (M.O.); (M.S.); (M.O.)
| | - Masakazu Sano
- Department of Neurosurgery, Brain Research Institute, Niigata University, Niigata 951-8585, Japan; (D.S.); (T.S.); (N.O.); (K.K.); (H.T.); (Y.T.); (M.O.); (M.S.); (M.O.)
| | - Haruko Iwabuchi
- Department of Pediatrics, Niigata University Medical and Dental Hospital, Niigata 951-8520, Japan; (H.I.); (N.S.); (C.I.)
| | - Nao Shibata
- Department of Pediatrics, Niigata University Medical and Dental Hospital, Niigata 951-8520, Japan; (H.I.); (N.S.); (C.I.)
| | - Masaru Imamura
- Department of Pediatrics, Niigata University Medical and Dental Hospital, Niigata 951-8520, Japan; (H.I.); (N.S.); (C.I.)
| | - Chihaya Imai
- Department of Pediatrics, Niigata University Medical and Dental Hospital, Niigata 951-8520, Japan; (H.I.); (N.S.); (C.I.)
- Department of Pediatrics, Toyama University, Toyama 930-0194, Japan
| | - Hirokazu Takami
- Department of Neurosurgery, The University of Tokyo Hospital, Tokyo 113-8655, Japan;
| | - Koichi Ichimura
- Department of Brain Disease Translational Research, Juntendo University Graduate School of Medicine, Tokyo 113-8421, Japan;
| | - Ryo Nishikawa
- Department of Neurosurgery/Neuro-Oncology, Saitama Medical University International Medical Center, Saitama 350-1298, Japan;
| | - Hajime Umezu
- Division of Pathology, Niigata University Medical and Dental Hospital, Niigata University, Niigata 951-8520, Japan;
| | - Akiyoshi Kakita
- Department of Pathology, Brain Research Institute, Niigata University, Niigata 951-8585, Japan; (M.T.); (A.K.)
| | - Makoto Oishi
- Department of Neurosurgery, Brain Research Institute, Niigata University, Niigata 951-8585, Japan; (D.S.); (T.S.); (N.O.); (K.K.); (H.T.); (Y.T.); (M.O.); (M.S.); (M.O.)
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Zhu H, Lu X, Jiang H, Yang Z, Xu T. Descriptive Statistics and Genome-Wide Copy Number Analysis of Milk Production Traits of Jiangsu Chinese Holstein Cows. Animals (Basel) 2023; 14:17. [PMID: 38200748 PMCID: PMC10778490 DOI: 10.3390/ani14010017] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 12/05/2023] [Accepted: 12/18/2023] [Indexed: 01/12/2024] Open
Abstract
Milk production traits are the most important quantitative economic traits in dairy cow production; improving the yield and quality of milk is an important way to ensure the production efficiency of the dairy industry. This study carried out a series of in-depth statistical genetics studies and molecular analyses on the Chinese Holstein cows in the Jiangsu Province, such as descriptive statistics and copy number variation analysis. A genetic correlation, phenotypic correlation, and descriptive statistical analysis of five milk production traits (milk yield, milk fat percentage, milk fat yield, milk protein percentage, and milk protein yield) of the dairy cows were analyzed using the SPSS and DMU software. Through quality control, 4173 cows and their genomes were used for genomic study. Then, SNPs were detected using DNA chips, and a copy number variation (CNV) analysis was carried out to locate the quantitative trait loci (QTL) of the milk production traits by Perl program software Penn CNV and hidden Markov model (HMM). The phenotypic means of the milk yield, milk fat percentage, milk fat mass, milk protein percentage, and milk protein mass at the first trimester were lower than those at the other trimesters by 8.821%, 1.031%, 0.930%, 0.003%, and 0.826%, respectively. The five milk production traits showed a significant phenotypic positive correlation (p < 0.01) and a high genetic positive correlation among the three parities. Based on the GGPBovine 100 K SNP data, QTL-detecting research on the fist-parity milk performance of dairy cows was carried out via the CNV. We identified 1731 CNVs and 236 CNVRs in the 29 autosomes of 984 Holstein dairy cows, and 19 CNVRs were significantly associated with the milk production traits (p < 0.05). These CNVRs were analyzed via a bioinformatics analysis; a total of 13 gene ontology (GO) terms and 20 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were significantly enriched (p < 0.05), and these terms and pathways are mainly related to lipid metabolism, amino acid metabolism, and cellular catabolic processes. This study provided a theoretical basis for the molecular-marker-assisted selection of dairy cows by developing descriptive statistics on the milk production traits of dairy cows and by locating the QTL and functional genes that affect the milk production traits of first-born dairy cows. The results describe the basic status of the milk production traits of the Chinese Holstein cows in Jiangsu and locate the QTL and functional genes that affect the milk production traits of the first-born cows, providing a theoretical basis for the molecular-marker-assisted selection of dairy cows.
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Affiliation(s)
- Hao Zhu
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Yangzhou University, Yangzhou 225009, China; (H.Z.); (Z.Y.)
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China;
| | - Xubin Lu
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China;
| | - Hui Jiang
- Center for Quantitative Genetics and Genomics, Aarhus University, 8000 Aarhus C, Denmark;
| | - Zhangping Yang
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Yangzhou University, Yangzhou 225009, China; (H.Z.); (Z.Y.)
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China;
| | - Tianle Xu
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Yangzhou University, Yangzhou 225009, China; (H.Z.); (Z.Y.)
- College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China;
- International Joint Research Laboratory, Universities of Jiangsu Province of China for Domestic Animal Germplasm Resources and Genetic Improvement, Yangzhou 225009, China
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Oon ML, Lim JQ, Lee B, Leong SM, Soon GST, Wong ZW, Lim EH, Li Z, Yeoh AEJ, Chen S, Ban KHK, Chung TH, Tan SY, Chuang SS, Kato S, Nakamura S, Takahashi E, Ho YH, Khoury JD, Au-Yeung RKH, Cheng CL, Lim ST, Chng WJ, Tripodo C, Rotzschke O, Ong CK, Ng SB. T-Cell Lymphoma Clonality by Copy Number Variation Analysis of T-Cell Receptor Genes. Cancers (Basel) 2021; 13:cancers13020340. [PMID: 33477749 PMCID: PMC7832336 DOI: 10.3390/cancers13020340] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 01/11/2021] [Indexed: 11/30/2022] Open
Abstract
Simple Summary T-cells defend the human body from pathogenic invasion via specific recognition by T-cell receptors (TCRs). The TCR genes undergo recombination (rearrangement) in a myriad of possible ways to generate different TCRs that can recognize a wide diversity of foreign antigens. However, in patients with T-cell lymphoma (TCL), a particular T-cell becomes malignant and proliferates, resulting in a population of genetically identical cells with same TCR rearrangement pattern. To help diagnose patients with TCL, a polymerase chain reaction (PCR)-based assay is currently used to determine if neoplastic cells in patient samples are of T-cell origin and bear identical (monoclonal) TCR rearrangement pattern. Herein, we report the application of a novel segmentation and copy number computation algorithm to accurately identify different TCR rearrangement patterns using data from the whole genome sequencing of patient materials. Our approach may improve the diagnostic accuracy of TCLs and can be similarly applied to the diagnosis of B-cell lymphomas. Abstract T-cell lymphomas arise from a single neoplastic clone and exhibit identical patterns of deletions in T-cell receptor (TCR) genes. Whole genome sequencing (WGS) data represent a treasure trove of information for the development of novel clinical applications. However, the use of WGS to identify clonal T-cell proliferations has not been systematically studied. In this study, based on WGS data, we identified monoclonal rearrangements (MRs) of T-cell receptors (TCR) genes using a novel segmentation algorithm and copy number computation. We evaluated the feasibility of this technique as a marker of T-cell clonality using T-cell lymphomas (TCL, n = 44) and extranodal NK/T-cell lymphomas (ENKTLs, n = 20), and identified 98% of TCLs with one or more TCR gene MRs, against 91% detected using PCR. TCR MRs were absent in all ENKTLs and NK cell lines. Sensitivity-wise, this platform is sufficiently competent, with MRs detected in the majority of samples with tumor content under 25% and it can also distinguish monoallelic from biallelic MRs. Understanding the copy number landscape of TCR using WGS data may engender new diagnostic applications in hematolymphoid pathology, which can be readily adapted to the analysis of B-cell receptor loci for B-cell clonality determination.
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Affiliation(s)
- Ming Liang Oon
- Department of Pathology, National University Hospital, National University Health System, Singapore 119074, Singapore; (M.L.O.); (G.S.-T.S.); (Z.W.W.); (S.-Y.T.)
| | - Jing Quan Lim
- Lymphoma Genomic Translational Research Laboratory, Division of Cellular and Molecular Research, National Cancer Centre Singapore, Singapore 169610, Singapore;
- Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore 169857, Singapore
| | - Bernett Lee
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), Singapore 138632, Singapore; (B.L.); (O.R.)
| | - Sai Mun Leong
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119074, Singapore;
| | - Gwyneth Shook-Ting Soon
- Department of Pathology, National University Hospital, National University Health System, Singapore 119074, Singapore; (M.L.O.); (G.S.-T.S.); (Z.W.W.); (S.-Y.T.)
| | - Zi Wei Wong
- Department of Pathology, National University Hospital, National University Health System, Singapore 119074, Singapore; (M.L.O.); (G.S.-T.S.); (Z.W.W.); (S.-Y.T.)
| | - Evelyn Huizi Lim
- Viva-NUS Centre for Translational Research in Acute Leukaemia, Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; (E.H.L.); (Z.L.); (A.E.J.Y.)
| | - Zhenhua Li
- Viva-NUS Centre for Translational Research in Acute Leukaemia, Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; (E.H.L.); (Z.L.); (A.E.J.Y.)
| | - Allen Eng Juh Yeoh
- Viva-NUS Centre for Translational Research in Acute Leukaemia, Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; (E.H.L.); (Z.L.); (A.E.J.Y.)
- VIVA—University Children’s Cancer Centre, Khoo Teck Puat–National University Children’s Medical Institute, National University Hospital, National University Health System, Singapore 119074, Singapore
| | - Shangying Chen
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596, Singapore; (S.C.); (K.H.K.B.)
| | - Kenneth Hon Kim Ban
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596, Singapore; (S.C.); (K.H.K.B.)
| | - Tae-Hoon Chung
- Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore; (T.-H.C.); (W.-J.C.)
| | - Soo-Yong Tan
- Department of Pathology, National University Hospital, National University Health System, Singapore 119074, Singapore; (M.L.O.); (G.S.-T.S.); (Z.W.W.); (S.-Y.T.)
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119074, Singapore;
| | - Shih-Sung Chuang
- Department of Pathology, Chi-Mei Medical Center, Tainan 71004, Taiwan;
| | - Seiichi Kato
- Department of Pathology and Laboratory Medicine, Nagoya University Hospital, Nagoya 466-8560, Japan; (S.K.); (S.N.)
- Department of Pathology and Molecular Diagnostics, Aichi Cancer Center Hospital, Nagoya 464-0021, Japan
| | - Shigeo Nakamura
- Department of Pathology and Laboratory Medicine, Nagoya University Hospital, Nagoya 466-8560, Japan; (S.K.); (S.N.)
| | - Emiko Takahashi
- Department of Pathology, Aichi Medical University Hospital, Nagakute 480-1195, Japan;
| | - Yong-Howe Ho
- Department of Pathology, Tan Tock Seng Hospital, Singapore 308433, Singapore;
| | - Joseph D. Khoury
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Rex K. H. Au-Yeung
- Department of Pathology, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China;
| | - Chee-Leong Cheng
- Department of Pathology, Singapore General Hospital, Singapore 169608, Singapore;
| | - Soon-Thye Lim
- Lymphoma Genomic Translational Research Laboratory, Division of Medical Oncology, National Cancer Centre Singapore, Singapore 169610, Singapore;
| | - Wee-Joo Chng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore; (T.-H.C.); (W.-J.C.)
- Department of Hematology-Oncology, National University Cancer Institute Singapore, National University Hospital, National University Health System, Singapore 119074, Singapore
| | - Claudio Tripodo
- Tumor Immunology Unit, University of Palermo School of Medicine, 90134 Palermo, Italy;
| | - Olaf Rotzschke
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), Singapore 138632, Singapore; (B.L.); (O.R.)
| | - Choon Kiat Ong
- Lymphoma Genomic Translational Research Laboratory, Division of Cellular and Molecular Research, National Cancer Centre Singapore, Singapore 169610, Singapore;
- Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore 169857, Singapore
- Genome Institute of Singapore, A*STAR (Agency for Science, Technology and Research), Singapore 138632, Singapore
- Correspondence: (C.K.O.); (S.-B.N.); Tel.: +65-6436-8269 (C.K.O.); +65-6772-4709 (S-B.N.)
| | - Siok-Bian Ng
- Department of Pathology, National University Hospital, National University Health System, Singapore 119074, Singapore; (M.L.O.); (G.S.-T.S.); (Z.W.W.); (S.-Y.T.)
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119074, Singapore;
- Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore; (T.-H.C.); (W.-J.C.)
- Correspondence: (C.K.O.); (S.-B.N.); Tel.: +65-6436-8269 (C.K.O.); +65-6772-4709 (S-B.N.)
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Thole TM, Toedling J, Sprüssel A, Pfeil S, Savelyeva L, Capper D, Messerschmidt C, Beule D, Groeneveld-Krentz S, Eckert C, Gambara G, Henssen AG, Finkler S, Schulte JH, Sieber A, Bluethgen N, Regenbrecht CRA, Künkele A, Lodrini M, Eggert A, Deubzer HE. Reflection of neuroblastoma intratumor heterogeneity in the new OHC-NB1 disease model. Int J Cancer 2019; 146:1031-1041. [PMID: 31304977 DOI: 10.1002/ijc.32572] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [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: 03/26/2019] [Accepted: 07/05/2019] [Indexed: 01/21/2023]
Abstract
Accurate modeling of intratumor heterogeneity presents a bottleneck against drug testing. Flexibility in a preclinical platform is also desirable to support assessment of different endpoints. We established the model system, OHC-NB1, from a bone marrow metastasis from a patient diagnosed with MYCN-amplified neuroblastoma and performed whole-exome sequencing on the source metastasis and the different models and passages during model development (monolayer cell line, 3D spheroid culture and subcutaneous xenograft tumors propagated in mice). OHC-NB1 harbors a MYCN amplification in double minutes, 1p deletion, 17q gain and diploid karyotype, which persisted in all models. A total of 80-540 single-nucleotide variants (SNVs) was detected in each sample, and comparisons between the source metastasis and models identified 34 of 80 somatic SNVs to be propagated in the models. Clonal reconstruction using the combined copy number and SNV data revealed marked clonal heterogeneity in the originating metastasis, with four clones being reflected in the model systems. The set of OHC-NB1 models represents 43% of somatic SNVs and 23% of the cellularity in the originating metastasis with varying clonal compositions, indicating that heterogeneity is partially preserved in our model system.
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Affiliation(s)
- Theresa M Thole
- Department of Pediatric Hematology and Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Joern Toedling
- Department of Pediatric Hematology and Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Annika Sprüssel
- Department of Pediatric Hematology and Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Sebastian Pfeil
- Department of Pediatric Hematology and Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Larissa Savelyeva
- Research Group Neuroblastoma Genomics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - David Capper
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Clemens Messerschmidt
- Core Unit Bioinformatics, Berliner Institut für Gesundheitsforschung (BIH), Berlin, Germany
| | - Dieter Beule
- Core Unit Bioinformatics, Berliner Institut für Gesundheitsforschung (BIH), Berlin, Germany
| | | | - Cornelia Eckert
- Department of Pediatric Hematology and Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Guido Gambara
- CELLPhenomics GmbH, Berlin, Germany.,Charité Comprehensive Cancer Center (CCCC), Charité - Universitätsmedizin Berlin, Berlin, Germany.,German Cancer Consortium (DKTK), Berlin, Germany.,German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Anton G Henssen
- Department of Pediatric Hematology and Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Berliner Institut für Gesundheitsforschung (BIH), Berlin, Germany
| | - Sabine Finkler
- Department of Pediatric Hematology and Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Johannes H Schulte
- Department of Pediatric Hematology and Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany.,German Cancer Consortium (DKTK), Berlin, Germany.,German Cancer Research Center (DKFZ), Heidelberg, Germany.,Berliner Institut für Gesundheitsforschung (BIH), Berlin, Germany
| | - Anja Sieber
- Computational Modelling in Medicine, Charité - Universitätsmedizin Berlin, Institute for Pathology, Berlin, Germany.,IRI Life Sciences, Humboldt University Berlin, Berlin, Germany
| | - Nils Bluethgen
- Berliner Institut für Gesundheitsforschung (BIH), Berlin, Germany.,Computational Modelling in Medicine, Charité - Universitätsmedizin Berlin, Institute for Pathology, Berlin, Germany.,IRI Life Sciences, Humboldt University Berlin, Berlin, Germany
| | - Christian R A Regenbrecht
- CELLPhenomics GmbH, Berlin, Germany.,Department for Pathology, Medical Faculty, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany
| | - Annette Künkele
- Department of Pediatric Hematology and Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Berliner Institut für Gesundheitsforschung (BIH), Berlin, Germany
| | - Marco Lodrini
- Department of Pediatric Hematology and Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Angelika Eggert
- Department of Pediatric Hematology and Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany.,German Cancer Consortium (DKTK), Berlin, Germany.,German Cancer Research Center (DKFZ), Heidelberg, Germany.,Berliner Institut für Gesundheitsforschung (BIH), Berlin, Germany
| | - Hedwig E Deubzer
- Department of Pediatric Hematology and Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany.,German Cancer Consortium (DKTK), Berlin, Germany.,German Cancer Research Center (DKFZ), Heidelberg, Germany.,Berliner Institut für Gesundheitsforschung (BIH), Berlin, Germany.,Neuroblastoma Research Group, Experimental and Clinical Research Center (ECRC) of the Charité and the Max-Delbrück-Center for Molecular Medicine (MDC) in the Helmholtz Association, Berlin, Germany
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5
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Wu L, Liu J, Lv W, Wen J, Xia Y, Liang D. An Xp21.3p11.4 duplication observed in a boy with intellectual deficiency and speech delay and his asymptomatic mother. ACTA ACUST UNITED AC 2013; 97:467-70. [PMID: 23828844 DOI: 10.1002/bdra.23118] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2012] [Revised: 01/25/2013] [Accepted: 01/27/2013] [Indexed: 11/10/2022]
Abstract
BACKGROUND Interstitial Xp duplications have been rarely described, especially in males. Male patients show intellectual deficiency (ID) and variable congenital malformations depending on the size and the position of the duplication. METHODS Cytogenetic and molecular analyses using standard G-banding, R-banding, fluorescence in situ hybridization, and an array comparative genomic hybridization analysis for copy number variation detection were performed in the propositus and his mother. RESULTS A 12,168,283 bp interstitial duplication of the Xp21.3p11.4 region was detected in the boy with ID and speech delay and his asymptomatic mother. CONCLUSION An Xp21.3p11.4 duplication was characterized at the molecular level in a boy with ID and speech delay. Genotype-phenotype correlations of interstitial Xp duplications were performed by comparing previously reported cases and our patient.
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Affiliation(s)
- Lingqian Wu
- State Key Laboratory of Medical Genetics, Central South University, Changsha, Hunan, People's Republic of China
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