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Lim JQ, Huang D, Chan JY, Laurensia Y, Wong EKY, Cheah DMZ, Chia BKH, Chuang WY, Kuo MC, Su YJ, Cai QQ, Feng Y, Rao H, Feng LN, Wei PP, Chen JR, Han BW, Lin GW, Cai J, Fang Y, Tan J, Hong H, Liu Y, Zhang F, Li W, Poon MLM, Ng SB, Jeyasekharan A, Ha JCH, Khoo LP, Chin ST, Pang WL, Kee R, Cheng CL, Grigoropoulos NF, Tang T, Tao M, Farid M, Puan KJ, Xiong J, Zhao WL, Khor CC, Hwang W, Kim WS, Campo E, Tan P, Teh BT, Chng WJ, Rötzschke O, Tousseyn T, Huang HQ, Rozen S, Lim ST, Shih LY, Bei JX, Ong CK. A genomic-augmented multivariate prognostic model for the survival of Natural-killer/T-cell lymphoma patients from an international cohort. Am J Hematol 2022; 97:1159-1169. [PMID: 35726449 DOI: 10.1002/ajh.26636] [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] [Received: 12/13/2021] [Revised: 05/17/2022] [Accepted: 06/16/2022] [Indexed: 11/09/2022]
Abstract
With lowering costs of sequencing and genetic profiling techniques, genetic drivers can now be detected readily in tumors but current prognostic models for Natural-killer/T cell lymphoma (NKTCL) have yet to fully leverage on them for prognosticating patients. Here, we used next-generation sequencing to sequence 260 NKTCL tumors, and trained a genomic prognostic model (GPM) with the genomic mutations and survival data from this retrospective cohort of patients using LASSO Cox regression. The GPM is defined by the mutational status of 13 prognostic genes and is weakly correlated with the risk-features in International Prognostic Index (IPI), Prognostic Index for Natural-Killer cell lymphoma (PINK) and PINK-Epstein-Barr virus (PINK-E). Cox-proportional hazard multivariate regression also showed that the new GPM is independent and significant for both progression-free survival (PFS, HR: 3.73, 95% CI 2.07-6.73; P<0.001) and overall survival (OS, HR: 5.23, 95% CI 2.57-10.65; P=0.001) with known risk-features of these indices. When we assign an additional risk-score to samples, which are mutant for the GPM, the Harrell's C-indices of GPM-augmented IPI, PINK and PINK-E improved significantly (P<0.001, χ2 test) for both PFS and OS. Thus, we report on how genomic mutational information could steer towards better prognostication of NKTCL patients. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Jing Quan Lim
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Lymphoma Genomic Translational Research Laboratory, Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, Singapore.,ONCO-ACP, Duke-NUS Medical School, 8 College Road, Singapore
| | - Dachuan Huang
- Lymphoma Genomic Translational Research Laboratory, Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, Singapore.,ONCO-ACP, Duke-NUS Medical School, 8 College Road, Singapore
| | - Jason Yongsheng Chan
- Division of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Yurike Laurensia
- Lymphoma Genomic Translational Research Laboratory, Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Esther Kam Yin Wong
- Lymphoma Genomic Translational Research Laboratory, Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Daryl Ming Zhe Cheah
- Lymphoma Genomic Translational Research Laboratory, Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Burton Kuan Hui Chia
- Lymphoma Genomic Translational Research Laboratory, Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Wen-Yu Chuang
- Department of Anatomic Pathology, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.,Chang Gung University, Taoyuan, Taiwan
| | - Ming-Chung Kuo
- Chang Gung University, Taoyuan, Taiwan.,Division of Hematology-Oncology, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Yi-Jiun Su
- Division of Hematology-Oncology, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Qing-Qing Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yanfen Feng
- Guangdong Provincial People's Hospital.,Guangdong Academy of Medical Sciences
| | - Huilan Rao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Li-Na Feng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Pan-Pan Wei
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jie-Rong Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Bo-Wei Han
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Guo-Wang Lin
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jun Cai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yu Fang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jing Tan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Lymphoma Genomic Translational Research Laboratory, Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, Singapore.,Laboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Huangming Hong
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yanhui Liu
- Guangdong Provincial People's Hospital.,Guangdong Academy of Medical Sciences
| | - Fen Zhang
- Guangdong Provincial People's Hospital.,Guangdong Academy of Medical Sciences
| | - Wenyu Li
- Guangdong Provincial People's Hospital.,Guangdong Academy of Medical Sciences
| | - Michelle L M Poon
- Department of Haematology-Oncology, National University Cancer Institute of Singapore, National University Health System, Singapore
| | - Siok-Bian Ng
- Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Anand Jeyasekharan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore.,Department of Haematology-Oncology, National University Health System, Singapore
| | - Jeslin Chian Hung Ha
- Lymphoma Genomic Translational Research Laboratory, Division of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Lay Poh Khoo
- Lymphoma Genomic Translational Research Laboratory, Division of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Suk Teng Chin
- Lymphoma Genomic Translational Research Laboratory, Division of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Wan Lu Pang
- Lymphoma Genomic Translational Research Laboratory, Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Rebecca Kee
- Lymphoma Genomic Translational Research Laboratory, Division of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Chee Leong Cheng
- Department of Pathology, Singapore General Hospital, 20 College Road, Academia, Singapore
| | | | - Tiffany Tang
- ONCO-ACP, Duke-NUS Medical School, 8 College Road, Singapore
| | - Miriam Tao
- Division of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Mohamad Farid
- Division of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore
| | - Kia Joo Puan
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), 8A Biomedical Grove, Singapore, Singapore
| | - Jie Xiong
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei-Li Zhao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chiea Chuen Khor
- Genome Institute of Singapore, 60 Biopolis Street Genome, Singapore
| | - William Hwang
- Director's office, National Cancer Centre, Singapore
| | - Won Seog Kim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine
| | - Elias Campo
- Consorci Institut D'Investigacions Biomediques August Pi I Sunyer, Barcelona, Spain
| | - Patrick Tan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore.,Genome Institute of Singapore, 60 Biopolis Street Genome, Singapore.,Division of Cancer and Stem Cell Biology, Duke-NUS Medical School, 8 College Road, Singapore
| | - Bin Tean Teh
- Laboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre Singapore, 11 Hospital Drive, Singapore.,Cancer Science Institute of Singapore, National University of Singapore, Singapore.,Division of Cancer and Stem Cell Biology, Duke-NUS Medical School, 8 College Road, Singapore
| | - Wee-Joo Chng
- Department of Haematology-Oncology, National University Cancer Institute of Singapore, National University Health System, Singapore.,Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Olaf Rötzschke
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), 8A Biomedical Grove, Sinagpore, Singapore
| | - Thomas Tousseyn
- KU Leuven, Department of Imaging and Pathology, Translational Cell and Tissue Research Lab, Herestraat 49, Leuven, Belgium.,UZ Leuven, Department of Pathology, Leuven, Belgium
| | - Hui-Qiang Huang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Steve Rozen
- Division of Cancer and Stem Cell Biology, Duke-NUS Medical School, 8 College Road, Singapore.,Centre for Computational Biology, Duke-NUS Medical School, 8 College Road, Singapore
| | - Soon Thye Lim
- Director's office, National Cancer Centre, Singapore.,Office of Education, Duke-NUS Medical School, Singapore
| | - Lee-Yung Shih
- Chang Gung University, Taoyuan, Taiwan.,Division of Hematology-Oncology, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Jin-Xin Bei
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Choon Kiat Ong
- Lymphoma Genomic Translational Research Laboratory, Cellular and Molecular Research, National Cancer Centre Singapore, 11 Hospital Drive, Singapore.,Genome Institute of Singapore, 60 Biopolis Street Genome, Singapore.,Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, 8 College Road, Singapore
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2
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Ling L, Li F, Yang P, Oates RD, Silber S, Kurischko C, Luca FC, Leu NA, Zhang J, Yue Q, Skaletsky H, Brown LG, Rozen S, Page DC, Wang PJ, Zheng K. Genetic characterization of a missense mutation in the X-linked TAF7L gene identified in an oligozoospermic man. Biol Reprod 2022; 107:157-167. [PMID: 35554494 PMCID: PMC9310510 DOI: 10.1093/biolre/ioac093] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 12/26/2021] [Revised: 04/18/2022] [Accepted: 05/02/2022] [Indexed: 11/14/2022] Open
Abstract
While hundreds of knockout mice show infertility as a major phenotype, causative genic mutations of male infertility in humans remain rather limited. Here we report the identification of a missense mutation (D136G) in the X-linked TAF7L gene as a potential cause of oligozoospermia in men. The human aspartate (D136) is evolutionally conserved across species, and its change to glycine (G) is predicted to be detrimental. Genetic complementation experiments in budding yeast demonstrate that the conserved aspartate or its analogous asparagine (N) residue in yeast TAF7 is essential for cell viability and thus its mutation to glycine is lethal. Although the corresponding D144G substitution in the mouse Taf7l gene does not affect male fertility, RNA-seq analyses reveal alterations in transcriptome profiles in the Taf7l (D144G) mutant testes. These results support this TAF7L mutation as a risk factor for oligozoospermia in humans.
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Affiliation(s)
- Li Ling
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Fangfang Li
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Pinglan Yang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Robert D Oates
- Department of Urology, Boston University Medical Center, Boston, MA 02118, USA
| | - Sherman Silber
- Infertility Center of St. Louis, St. Luke's Hospital, St. Louis, MO 63017, USA
| | - Cornelia Kurischko
- Department of Biomedical Sciences, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA 19104, USA
| | - Francis C Luca
- Department of Biomedical Sciences, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA 19104, USA
| | - N Adrian Leu
- Department of Biomedical Sciences, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA 19104, USA
| | - Jinwen Zhang
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Qiuling Yue
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China
| | - Helen Skaletsky
- Howard Hughes Medical Institute, Whitehead Institute, and Department of Biology, Massachusetts Institute of Technology, 455 Main Street, Cambridge, MA 02142, USA
| | - Laura G Brown
- Howard Hughes Medical Institute, Whitehead Institute, and Department of Biology, Massachusetts Institute of Technology, 455 Main Street, Cambridge, MA 02142, USA
| | - Steve Rozen
- Duke-NUS Graduate Medical School Singapore, 8 College Road, 169857, Singapore
| | - David C Page
- Howard Hughes Medical Institute, Whitehead Institute, and Department of Biology, Massachusetts Institute of Technology, 455 Main Street, Cambridge, MA 02142, USA
| | - P Jeremy Wang
- Department of Biomedical Sciences, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA 19104, USA
| | - Ke Zheng
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing 211166, China
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3
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Bylstra Y, Lim WK, Kam S, Tham KW, Wu RR, Teo JX, Davila S, Kuan JL, Chan SH, Bertin N, Yang CX, Rozen S, Teh BT, Yeo KK, Cook SA, Jamuar SS, Ginsburg GS, Orlando LA, Tan P. Correction to: Family history assessment significantly enhances delivery of precision medicine in the genomics era. Genome Med 2021; 13:109. [PMID: 34225778 PMCID: PMC8259385 DOI: 10.1186/s13073-021-00916-9] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Affiliation(s)
- Yasmin Bylstra
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore
| | - Weng Khong Lim
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore.,SingHealth Duke-NUS Genomic Medicine Center, Singapore Health Services, Singapore, Singapore
| | - Sylvia Kam
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
| | - Koei Wan Tham
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,Department of Physiology, National University of Singapore, Singapore, Singapore
| | - R Ryanne Wu
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Jing Xian Teo
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore
| | - Sonia Davila
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,SingHealth Duke-NUS Genomic Medicine Center, Singapore Health Services, Singapore, Singapore.,Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore, Singapore
| | - Jyn Ling Kuan
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore
| | - Sock Hoai Chan
- Cancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Nicolas Bertin
- Centre for Big Data and Integrative Genomics, Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
| | - Cheng Xi Yang
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
| | - Steve Rozen
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore
| | - Bin Tean Teh
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,National Cancer Centre Singapore, Singapore, Singapore
| | - Khung Keong Yeo
- Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore, Singapore.,Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore
| | - Stuart Alexander Cook
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore, Singapore.,Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore
| | - Saumya Shekhar Jamuar
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,SingHealth Duke-NUS Genomic Medicine Center, Singapore Health Services, Singapore, Singapore.,Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore.,Paediatric Academic Clinical Programme, Duke-NUS Medical School, Singapore, Singapore
| | - Geoffrey S Ginsburg
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Lori A Orlando
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
| | - Patrick Tan
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore. .,Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore. .,Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore.
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4
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Wang C, McPherson JR, Zhang LH, Rozen S, Sabapathy K. Corrigendum to "Transcription-associated mutation of lasR in Pseudomonas aeruginosa". DNA Repair (Amst) 2021; 100:103073. [PMID: 33618996 DOI: 10.1016/j.dnarep.2021.103073] [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: 11/25/2022]
Affiliation(s)
- C Wang
- Division of Cellular & Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre, 169610, Singapore
| | - J R McPherson
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, 169857, Singapore
| | - L H Zhang
- Institute of Molecular and Cell Biology, Biopolis, 138673, Singapore; Guangdong Province Key Laboratory of Microbial Signals and Disease Control, South China Agricultural University, 510642, China
| | - S Rozen
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, 169857, Singapore
| | - K Sabapathy
- Division of Cellular & Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre, 169610, Singapore; Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, 169857, Singapore; Institute of Molecular and Cell Biology, Biopolis, 138673, Singapore; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 119228, Singapore.
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5
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Bylstra Y, Lim WK, Kam S, Tham KW, Wu RR, Teo JX, Davila S, Kuan JL, Chan SH, Bertin N, Yang CX, Rozen S, Teh BT, Yeo KK, Cook SA, Jamuar SS, Ginsburg GS, Orlando LA, Tan P. Family history assessment significantly enhances delivery of precision medicine in the genomics era. Genome Med 2021; 13:3. [PMID: 33413596 PMCID: PMC7791763 DOI: 10.1186/s13073-020-00819-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [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: 06/04/2020] [Accepted: 12/07/2020] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Family history has traditionally been an essential part of clinical care to assess health risks. However, declining sequencing costs have precipitated a shift towards genomics-first approaches in population screening programs rendering the value of family history unknown. We evaluated the utility of incorporating family history information for genomic sequencing selection. METHODS To ascertain the relationship between family histories on such population-level initiatives, we analysed whole genome sequences of 1750 research participants with no known pre-existing conditions, of which half received comprehensive family history assessment of up to four generations, focusing on 95 cancer genes. RESULTS Amongst the 1750 participants, 866 (49.5%) had high-quality standardised family history available. Within this group, 73 (8.4%) participants had an increased family history risk of cancer (increased FH risk cohort) and 1 in 7 participants (n = 10/73) carried a clinically actionable variant inferring a sixfold increase compared with 1 in 47 participants (n = 17/793) assessed at average family history cancer risk (average FH risk cohort) (p = 0.00001) and a sevenfold increase compared to 1 in 52 participants (n = 17/884) where family history was not available (FH not available cohort) (p = 0.00001). The enrichment was further pronounced (up to 18-fold) when assessing only the 25 cancer genes in the American College of Medical Genetics (ACMG) Secondary Findings (SF) genes. Furthermore, 63 (7.3%) participants had an increased family history cancer risk in the absence of an apparent clinically actionable variant. CONCLUSIONS These findings demonstrate that the collection and analysis of comprehensive family history and genomic data are complementary and in combination can prioritise individuals for genomic analysis. Thus, family history remains a critical component of health risk assessment, providing important actionable data when implementing genomics screening programs. TRIAL REGISTRATION ClinicalTrials.gov NCT02791152 . Retrospectively registered on May 31, 2016.
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Affiliation(s)
- Yasmin Bylstra
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore
| | - Weng Khong Lim
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore.,SingHealth Duke-NUS Genomic Medicine Center, Singapore Health Services, Singapore, Singapore
| | - Sylvia Kam
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
| | - Koei Wan Tham
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,Department of Physiology, National University of Singapore, Singapore, Singapore
| | - R Ryanne Wu
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Jing Xian Teo
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore
| | - Sonia Davila
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,SingHealth Duke-NUS Genomic Medicine Center, Singapore Health Services, Singapore, Singapore.,Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore, Singapore
| | - Jyn Ling Kuan
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore
| | - Sock Hoai Chan
- Cancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Nicolas Bertin
- Centre for Big Data and Integrative Genomics, Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore
| | - Cheng Xi Yang
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
| | - Steve Rozen
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore
| | - Bin Tean Teh
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,National Cancer Centre Singapore, Singapore, Singapore
| | - Khung Keong Yeo
- Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore, Singapore.,Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore
| | - Stuart Alexander Cook
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore, Singapore.,Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore
| | - Saumya Shekhar Jamuar
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore.,SingHealth Duke-NUS Genomic Medicine Center, Singapore Health Services, Singapore, Singapore.,Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore.,Paediatric Academic Clinical Programme, Duke-NUS Medical School, Singapore, Singapore
| | - Geoffrey S Ginsburg
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Lori A Orlando
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.
| | - Patrick Tan
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore Health Services, Singapore, Singapore. .,Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore. .,Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore.
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6
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Lo FY, Valentine C, Schmidt E, Williams L, Boot A, Rozen S, Salk J. Abstract 3147: Non-invasive detection of aristolochic acid exposure using ultra-sensitive duplex sequencing. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-3147] [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
Aristolochic acids (AA) are a potent class of mutagen that occur in plants of the genera Aristolochia and Asarum. Exposures to AA are caused both by intentional ingestion of traditional herbal medicines containing Aristolochia and through inadvertent consumption from contaminated crops. The carcinogenic potential and epidemiologic connection of AA exposure with upper-tract urothelial cancers (UTUC), liver cancer and kidney failure have been known for years; however, the extent of AA exposure and its influence on cancer risk and mortality have yet to be fully explored in many world populations.
Using whole exome sequencing of tumor samples, a recent study determined that 78% of HCCs from Taiwan exhibit distinct mutation signatures of AA exposure (Ng, Poon, Huang, et al., 2017). Exposure to AA is geographically widespread and there is a major opportunity for primary and secondary prevention of AA-associated diseases if it were possible to detect the exposure through non-invasively sampled body fluids such as blood or urine sediment.
Although AA adducts can be measured in body fluids, this measurement only reflects recent ingestion, not the life-integrated exposure that better approximates disease risk. A mutation burden-based assay could circumvent this problem; however, a major challenge is that AA-mediated mutations are extremely rare in bulk tissue or fluid samples from non-tumor sources. Duplex Sequencing (DS) is a tag-based NGS error-correction method that enables the detection of ultra-rare mutations that exist at the mutation frequency of normal tissues (~10e-8). DS can be applied to DNA from any tissue of any organism without the need for tumor formation or ex vivo cloning.
We developed a DS-based assay that measures mutations across a 50 kb genome-representative panel and applied it to the tissues and liquid biopsies of cancer patients of known AA-exposure status. We sampled the blood, urine, kidney, normal-adjacent urothelium and ureteral tumors from 12 UTUC patients where 6 of the patients were exposed to AA, and 6 were not.
Under blinded conditions, we positively identified AA mutation signatures in the normal adjacent urothelium tissues of 5 AA-exposed patients. Remarkably, we also detected AA signatures in all available blood and urine samples from the same patients. The proportion of mutations attributed to AA-exposure ranged from 2.5% in blood to 67.8% in kidney. These mutations, on the order of one-in-a-million, were exposure-related, not tumor derived. We did not detect AA mutation signatures in any samples from the non-AA-exposed patients.
To our knowledge, this is the first time an AA mutation signature has been detected in non-invasively sampled body fluids. DS is a promising approach for the detection of mutagenic signatures caused by environmental carcinogens, and we foresee it being a powerful metric that can be used to measure life-integrated carcinogenic processes and cancer risk.
Citation Format: Fang Yin Lo, Charles Valentine, Elizabeth Schmidt, Lindsey Williams, Arnoud Boot, Steve Rozen, Jesse Salk. Non-invasive detection of aristolochic acid exposure using ultra-sensitive duplex sequencing [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 3147.
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7
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Lim J, Huang D, Tang T, Cai Q, Tan D, Laurensia Y, Chia B, Rou-Jun P, Pang W, Cheah D, Ng C, Hong H, Tan J, Feng L, Chen J, Han B, Guo Y, Goh Y, Rötzschke O, Cheng C, Au-Yeung R, Chan T, Ng S, Kwong Y, Hwang W, Chng W, Tousseyn T, Tan P, Teh B, Khor C, Rozen S, Bei J, Lin T, Lim S, Ong C. WHOLE-GENOME SEQUENCING REVEALS IMMUNOTHERAPEUTIC OPTIONS FOR NATURAL-KILLER/T CELL LYMPHOMA PATIENTS. Hematol Oncol 2019. [DOI: 10.1002/hon.19_2630] [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: 11/11/2022]
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8
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Comby A, Bloch E, Bond CMM, Descamps D, Miles J, Petit S, Rozen S, Greenwood JB, Blanchet V, Mairesse Y. Real-time determination of enantiomeric and isomeric content using photoelectron elliptical dichroism. Nat Commun 2018; 9:5212. [PMID: 30523259 PMCID: PMC6283843 DOI: 10.1038/s41467-018-07609-9] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [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: 07/23/2018] [Accepted: 11/09/2018] [Indexed: 11/09/2022] Open
Abstract
The fast and accurate analysis of chiral chemical mixtures is crucial for many applications but remains challenging. Here we use elliptically-polarized femtosecond laser pulses at high repetition rates to photoionize chiral molecules. The 3D photoelectron angular distribution produced provides molecular fingerprints, showing a strong forward-backward asymmetry which depends sensitively on the molecular structure and degree of ellipticity. Continuously scanning the laser ellipticity and analyzing the evolution of the rich, multi-dimensional molecular signatures allows us to observe real-time changes in the chemical and chiral content present with unprecedented speed and accuracy. We measure the enantiomeric excess of a compound with an accuracy of 0.4% in 10 min acquisition time, and follow the evolution of a mixture with an accuracy of 5% with a temporal resolution of 3 s. This method is even able to distinguish isomers, which cannot be easily distinguished by mass-spectrometry.
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Affiliation(s)
- A Comby
- Université de Bordeaux - CNRS - CEA, CELIA, UMR5107, F33405, Talence, France
| | - E Bloch
- Université de Bordeaux - CNRS - CEA, CELIA, UMR5107, F33405, Talence, France
| | - C M M Bond
- School of Maths and Physics, Queen's University, Belfast, BT7 INN, UK
| | - D Descamps
- Université de Bordeaux - CNRS - CEA, CELIA, UMR5107, F33405, Talence, France
| | - J Miles
- School of Maths and Physics, Queen's University, Belfast, BT7 INN, UK
| | - S Petit
- Université de Bordeaux - CNRS - CEA, CELIA, UMR5107, F33405, Talence, France
| | - S Rozen
- Weizmann Institute of Science, Rehovot, 76100, Israel
| | - J B Greenwood
- School of Maths and Physics, Queen's University, Belfast, BT7 INN, UK
| | - V Blanchet
- Université de Bordeaux - CNRS - CEA, CELIA, UMR5107, F33405, Talence, France
| | - Y Mairesse
- Université de Bordeaux - CNRS - CEA, CELIA, UMR5107, F33405, Talence, France.
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9
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Bylstra Y, Kuan JL, Lim WK, Bhalshankar JD, Teo JX, Davila S, Teh BT, Rozen S, Tan EC, Liew WKM, Yeo KK, Tan P, Saw SM, Cheng CY, Cook S, Foo R, Jamuar SS. Correction: Population genomics in South East Asia captures unexpectedly high carrier frequency for treatable inherited disorders. Genet Med 2018; 20:1692. [PMID: 30089799 DOI: 10.1038/s41436-018-0142-1] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
At the time of publication the author Jyn Ling Kuan did not have a master's degree; this has now been amended to BSc. This has now been corrected in the PDF and HTML versions of the article.
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Affiliation(s)
- Yasmin Bylstra
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore.,Inherited Cardiac Clinic, National University Hospital, Singapore, Singapore
| | - Jyn Ling Kuan
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore.,Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
| | - Weng Khong Lim
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore.,Cancer and Stem Biology, Duke-NUS Medical School, Singapore, Singapore
| | | | - Jing Xian Teo
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore
| | - Sonia Davila
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore.,Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore, Singapore
| | - Bin Tean Teh
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore.,Cancer and Stem Biology, Duke-NUS Medical School, Singapore, Singapore.,Division of Medical Sciences, National Cancer Centre, Singapore, Singapore
| | - Steve Rozen
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore.,Cancer and Stem Biology, Duke-NUS Medical School, Singapore, Singapore
| | - Ene-Choo Tan
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore
| | - Wendy Kein Meng Liew
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore.,Paediatrics ACP, Duke-NUS Medical School, Singapore, Singapore
| | - Khung Keong Yeo
- Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore
| | - Patrick Tan
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore.,Cancer and Stem Biology, Duke-NUS Medical School, Singapore, Singapore.,Biomedical Research Council, Agency for Science, Technology and Research, Singapore, Singapore
| | | | - Seang Mei Saw
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.,Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Eye ACP, Duke-NUS Medical School, Singapore, Singapore
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.,Eye ACP, Duke-NUS Medical School, Singapore, Singapore
| | - Stuart Cook
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore.,Department of Cardiology, National Heart Centre Singapore, Singapore, Singapore.,Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore, Singapore
| | - Roger Foo
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Saumya Shekhar Jamuar
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore. .,Department of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore. .,Paediatrics ACP, Duke-NUS Medical School, Singapore, Singapore.
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10
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Thekkeparambil Chandrabose S, Sriram S, Subramanian S, Cheng S, Ong WK, Rozen S, Kasim NHA, Sugii S. Amenable epigenetic traits of dental pulp stem cells underlie high capability of xeno-free episomal reprogramming. Stem Cell Res Ther 2018; 9:68. [PMID: 29559008 PMCID: PMC5859503 DOI: 10.1186/s13287-018-0796-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 01/19/2018] [Accepted: 02/05/2018] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND While a shift towards non-viral and animal component-free methods of generating induced pluripotent stem (iPS) cells is preferred for safer clinical applications, there is still a shortage of reliable cell sources and protocols for efficient reprogramming. METHODS Here, we show a robust episomal and xeno-free reprogramming strategy for human iPS generation from dental pulp stem cells (DPSCs) which renders good efficiency (0.19%) over a short time frame (13-18 days). RESULTS The robustness of DPSCs as starting cells for iPS induction is found due to their exceptional inherent stemness properties, developmental origin from neural crest cells, specification for tissue commitment, and differentiation capability. To investigate the epigenetic basis for the high reprogramming efficiency of DPSCs, we performed genome-wide DNA methylation analysis and found that the epigenetic signature of DPSCs associated with pluripotent, developmental, and ecto-mesenchymal genes is relatively close to that of iPS and embryonic stem (ES) cells. Among these genes, it is found that overexpression of PAX9 and knockdown of HERV-FRD improved the efficiencies of iPS generation. CONCLUSION In conclusion, our study provides underlying epigenetic mechanisms that establish a robust platform for efficient generation of iPS cells from DPSCs, facilitating industrial and clinical use of iPS technology for therapeutic needs.
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Affiliation(s)
| | - Sandhya Sriram
- Fat Metabolism and Stem Cell Group (FMSCG), Laboratory of Metabolic Medicine (LMM), Singapore Bioimaging Consortium (SBIC), Helios, Biopolis, A*STAR, Singapore, 138667, Singapore
| | - Subha Subramanian
- Fat Metabolism and Stem Cell Group (FMSCG), Laboratory of Metabolic Medicine (LMM), Singapore Bioimaging Consortium (SBIC), Helios, Biopolis, A*STAR, Singapore, 138667, Singapore
| | - Shanshan Cheng
- Cancer and Stem Cell Biology Programme, Duke-NUS Medical School, Singapore, 169857, Singapore
| | - Wee Kiat Ong
- Fat Metabolism and Stem Cell Group (FMSCG), Laboratory of Metabolic Medicine (LMM), Singapore Bioimaging Consortium (SBIC), Helios, Biopolis, A*STAR, Singapore, 138667, Singapore
- School of Pharmacy, University of Reading Malaysia, 79200, Johor, Malaysia
| | - Steve Rozen
- Cancer and Stem Cell Biology Programme, Duke-NUS Medical School, Singapore, 169857, Singapore
| | - Noor Hayaty Abu Kasim
- Department of Restorative Dentistry, Faculty of Dentistry, University of Malaya, 50603, Kuala Lumpur, Malaysia.
| | - Shigeki Sugii
- Fat Metabolism and Stem Cell Group (FMSCG), Laboratory of Metabolic Medicine (LMM), Singapore Bioimaging Consortium (SBIC), Helios, Biopolis, A*STAR, Singapore, 138667, Singapore.
- Cardiovascular and Metabolic Disorders Programme, Duke-NUS Medical School, Singapore, 169857, Singapore.
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11
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Madan B, Ke Z, Lei ZD, Oliver FA, Oshima M, Lee MA, Rozen S, Virshup DM. NOTUM is a potential pharmacodynamic biomarker of Wnt pathway inhibition. Oncotarget 2017; 7:12386-92. [PMID: 26848981 PMCID: PMC4914292 DOI: 10.18632/oncotarget.7157] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [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: 09/06/2015] [Accepted: 01/23/2016] [Indexed: 01/16/2023] Open
Abstract
Activation of Wnt signaling due to Wnt overexpression or mutations of Wnt pathway components is associated with various cancers. Blocking Wnt secretion by inhibiting PORCN enzymatic activity has shown efficacy in a subset of cancers with elevated Wnt signaling. Predicting response to upstream Wnt inhibitors and monitoring response to therapeutics is challenging due to the paucity of well-defined biomarkers. In this study we identify Notum as a potential biomarker for Wnt driven cancers and show that coordinate regulation of NOTUM and AXIN2 expression may be a useful predictor of response to PORCN inhibitors. Most importantly, as NOTUM is a secreted protein and its levels in blood correlate with tumor growth, it has potential as a pharmacodynamic biomarker for PORCN and other Wnt pathway inhibitors.
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Affiliation(s)
- Babita Madan
- Program in Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore
| | - Zhiyuan Ke
- Experimental Therapeutics Centre, A*STAR, Biopolis, Singapore
| | - Zheng Deng Lei
- Program in Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore
| | | | - Masanobu Oshima
- Division of Genetics, Cancer Research Institute, Kanazawa University, Kanazawa, Japan
| | - May Ann Lee
- Experimental Therapeutics Centre, A*STAR, Biopolis, Singapore
| | - Steve Rozen
- Program in Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore
| | - David M Virshup
- Program in Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore.,Department of Pediatrics, Duke University, Durham, NC, USA
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12
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Ng A, Rozen S. Abstract B12: Independent comparison of the state of the art in-silico HLA typing software. Cancer Immunol Res 2017. [DOI: 10.1158/2326-6074.tumimm16-b12] [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
To accurately characterize the neo-antigen repertoire in tumors, identifying the HLA alleles of the patient is paramount. The binding of the neo-antigens to the patient's specific HLA alleles HLA-restriction has to be determined to identify neo-antigens that might play a role in stimulating an immune response in immunotherapy. The information on the patient's HLA alleles is captured in the next-generation sequencing (NGS) data and has to be accurately teased out using in-silico HLA typing software. However, to our knowledge, until now an independent study of HLA typing software has not been carried out. In this study, five publicly available HLA typing software packages were compared using 106 whole exome sequencing samples from the 1000 Genomes Project and a published dataset of 56 Asian nasopharyngeal tumor-normal pairs with experimentally determined HLA types. Whole exome sequencing samples of varying depth and coverage were chosen to simulate real-world data and test the robustness of the HLA typing software.
Citation Format: Alvin Ng, Steve Rozen. Independent comparison of the state of the art in-silico HLA typing software. [abstract]. In: Proceedings of the AACR Special Conference on Tumor Immunology and Immunotherapy; 2016 Oct 20-23; Boston, MA. Philadelphia (PA): AACR; Cancer Immunol Res 2017;5(3 Suppl):Abstract nr B12.
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Affiliation(s)
- Alvin Ng
- 1National University of Singapore, Singapore, Singapore,
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13
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Ng SB, Chua C, Ng M, Gan A, Poon PSY, Teo M, Fu C, Leow WQ, Lim KH, Chung A, Koo SL, Choo SP, Ho D, Rozen S, Tan P, Wong M, Burkholder WF, Tan IB. Individualised multiplexed circulating tumour DNA assays for monitoring of tumour presence in patients after colorectal cancer surgery. Sci Rep 2017; 7:40737. [PMID: 28102343 PMCID: PMC5244357 DOI: 10.1038/srep40737] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [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: 10/07/2016] [Accepted: 11/24/2016] [Indexed: 02/08/2023] Open
Abstract
Circulating tumour DNA (ctDNA) has the potential to be a specific biomarker for the monitoring of tumours in patients with colorectal cancer (CRC). Here, our aim was to develop a personalised surveillance strategy to monitor the clinical course of CRC after surgery. We developed patient-specific ctDNA assays based on multiplexed detection of somatic mutations identified from patient primary tumours, and applied them to detect ctDNA in 44 CRC patients, analysing a total of 260 plasma samples. We found that ctDNA detection correlated with clinical events - it is detectable in pre-operative but not post-operative plasma, and also in patients with recurrent CRC. We also detected ctDNA in 11 out of 15 cases at or before clinical or radiological recurrence of CRC, indicating the potential of our assay for early detection of metastasis. We further present data from a patient with multiple primary cancers to demonstrate the specificity of our assays to distinguish between CRC recurrence and a second primary cancer. Our approach can complement current methods for surveillance of CRC by adding an individualised biological component, allowing us not only to point to the presence of residual or recurrent disease, but also attribute it to the original cancer.
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Affiliation(s)
- Sarah B. Ng
- Microfluidics Systems Biology, Institute of Molecular and Cell Biology, Singapore
| | - Clarinda Chua
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Matthew Ng
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Anna Gan
- Genome Institute of Singapore, Singapore
| | - Polly SY Poon
- Microfluidics Systems Biology, Institute of Molecular and Cell Biology, Singapore
| | - Melissa Teo
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore
| | - Cherylin Fu
- Department of Colorectal Surgery, Singapore General Hospital, Singapore
| | - Wei Qiang Leow
- Department of Pathology Anatomical Pathology, Singapore General Hospital, Singapore
| | - Kiat Hon Lim
- Department of Pathology Anatomical Pathology, Singapore General Hospital, Singapore
| | - Alexander Chung
- Department of Hepatopancreatobiliary/Transplant Surgery, Singapore General Hospital, Singapore
| | - Si-Lin Koo
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Su Pin Choo
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Danliang Ho
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
| | - Steve Rozen
- Cancer & Stem Cell Biology Program, Duke-NUS Medical School, Singapore
| | - Patrick Tan
- Cancer & Stem Cell Biology Program, Duke-NUS Medical School, Singapore
- Cancer Science Institute, National University of Singapore, Singapore
| | - Mark Wong
- Department of Colorectal Surgery, Singapore General Hospital, Singapore
| | | | - Iain Beehuat Tan
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore
- Genome Institute of Singapore, Singapore
- Cancer & Stem Cell Biology Program, Duke-NUS Medical School, Singapore
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14
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Tompson SW, Johnson C, Abbott D, Bakall B, Soler V, Yanovitch TL, Whisenhunt KN, Klemm T, Rozen S, Stone EM, Johnson M, Young TL. Reduced penetrance in a large Caucasian pedigree with Stickler syndrome. Ophthalmic Genet 2017; 38:43-50. [PMID: 28095098 DOI: 10.1080/13816810.2016.1275018] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [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: 10/20/2022]
Abstract
BACKGROUND In a four-generation Caucasian family variably diagnosed with autosomal dominant (AD) Stickler or Wagner disease, commercial gene screening failed to identify a mutation in COL2A1 or VCAN. We utilized linkage mapping and exome sequencing to identify the causal variant. MATERIALS AND METHODS Genomic DNA samples collected from 40 family members were analyzed. A whole-genome linkage scan was performed using Illumina HumanLinkage-24 BeadChip followed by two-point and multipoint linkage analyses using FASTLINK and MERLIN. Exome sequencing was performed on two affected individuals, followed by co-segregation analysis. RESULTS Parametric multipoint linkage analysis using an AD inheritance model demonstrated HLOD scores > 2.00 at chromosomes 1p36.13-1p36.11 and 12q12-12q14.1. SIMWALK multipoint analysis replicated the peak in chromosome 12q (peak LOD = 1.975). FASTLINK two-point analysis highlighted several clustered chromosome 12q SNPs with HLOD > 1.0. Exome sequencing revealed a novel nonsense mutation (c.115C>T, p.Gln39*) in exon 2 of COL2A1 that is expected to result in nonsense-mediated decay of the RNA transcript. This mutation co-segregated with all clinically affected individuals and seven individuals who were clinically unaffected. CONCLUSIONS The utility of combining traditional linkage mapping and exome sequencing is highlighted to identify gene mutations in large families displaying a Mendelian inheritance of disease. Historically, nonsense mutations in exon 2 of COL2A1 have been reported to cause a fully penetrant ocular-only Stickler phenotype with few or no systemic manifestations. We report a novel nonsense mutation in exon 2 of COL2A1 that displays incomplete penetrance and/or variable age of onset with extraocular manifestations.
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Affiliation(s)
- Stuart W Tompson
- a Department of Ophthalmology and Visual Sciences , University of Wisconsin - Madison , Madison , Wisconsin , USA
| | | | - Diana Abbott
- c Department of Biostatistics and Informatics , University of Colorado Anschutz Medical Campus , Aurora , Colorado , USA
| | - Benjamin Bakall
- d Department of Ophthalmology and Visual Sciences , University of Iowa Carver College of Medicine , Iowa City , Iowa , USA
| | - Vincent Soler
- e Centre de Physiopathologie de Toulouse Purpan , Université Paul Sabatier , Toulouse , France
| | - Tammy L Yanovitch
- f Department of Ophthalmology, Dean McGee Eye Institute , University of Oklahoma , Oklahoma City , Oklahoma , USA
| | - Kristina N Whisenhunt
- a Department of Ophthalmology and Visual Sciences , University of Wisconsin - Madison , Madison , Wisconsin , USA
| | - Thomas Klemm
- g Duke-National University of Singapore Graduate Medical School , Singapore
| | - Steve Rozen
- g Duke-National University of Singapore Graduate Medical School , Singapore
| | - Edwin M Stone
- d Department of Ophthalmology and Visual Sciences , University of Iowa Carver College of Medicine , Iowa City , Iowa , USA
| | - Max Johnson
- b Retina Consultants, Ltd ., Fargo , North Dakota , USA
| | - Terri L Young
- a Department of Ophthalmology and Visual Sciences , University of Wisconsin - Madison , Madison , Wisconsin , USA.,g Duke-National University of Singapore Graduate Medical School , Singapore
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15
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Huang KK, McPherson JR, Tay ST, Das K, Tan IB, Ng CCY, Chia NY, Zhang SL, Myint SS, Hu L, Rajasegaran V, Huang D, Loh JL, Gan A, Sairi ANH, Sam XX, Dominguez LT, Lee M, Soo KC, Ooi LLPJ, Ong HS, Chung A, Chow PKH, Wong WK, Selvarajan S, Ong CK, Lim KH, Nandi T, Rozen S, Teh BT, Quek R, Tan P. SETD2 histone modifier loss in aggressive GI stromal tumours. Gut 2016; 65:1960-1972. [PMID: 26338826 DOI: 10.1136/gutjnl-2015-309482] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2015] [Revised: 07/31/2015] [Accepted: 08/15/2015] [Indexed: 12/29/2022]
Abstract
BACKGROUND GI stromal tumours (GISTs) are clinically heterogenous exhibiting varying degrees of disease aggressiveness in individual patients. OBJECTIVES We sought to identify genetic alterations associated with high-risk GIST, explore their molecular consequences, and test their utility as prognostic markers. DESIGNS Exome sequencing of 18 GISTs was performed (9 patients with high-risk/metastatic and 5 patients with low/intermediate-risk), corresponding to 11 primary and 7 metastatic tumours. Candidate alterations were validated by prevalence screening in an independent patient cohort (n=120). Functional consequences of SETD2 mutations were investigated in primary tissues and cell lines. Transcriptomic profiles for 8 GISTs (4 SETD2 mutated, 4 SETD2 wild type) and DNA methylation profiles for 22 GISTs (10 SETD2 mutated, 12 SETD2 wild type) were analysed. Statistical associations between molecular, clinicopathological factors, and relapse-free survival were determined. RESULTS High-risk GISTs harboured increased numbers of somatic mutations compared with low-risk GISTs (25.2 mutations/high-risk cases vs 6.8 mutations/low-risk cases; two sample t test p=3.1×10-5). Somatic alterations in the SETD2 histone modifier gene occurred in 3 out of 9 high-risk/metastatic cases but no low/intermediate-risk cases. Prevalence screening identified additional SETD2 mutations in 7 out of 80 high-risk/metastatic cases but no low/intermediate-risk cases (n=29). Combined, the frequency of SETD2 mutations was 11.2% (10/89) and 0% (0/34) in high-risk and low-risk GISTs respectively. SETD2 mutant GISTs exhibited decreased H3K36me3 expression while SETD2 silencing promoted DNA damage in GIST-T1 cells. In gastric GISTs, SETD2 mutations were associated with overexpression of HOXC cluster genes and a DNA methylation signature of hypomethylated heterochromatin. Gastric GISTs with SETD2 mutations, or GISTs with hypomethylated heterochromatin, showed significantly shorter relapse-free survival on univariate analysis (log rank p=4.1×10-5). CONCLUSIONS Our data suggest that SETD2 is a novel GIST tumour suppressor gene associated with disease progression. Assessing SETD2 genetic status and SETD2-associated epigenomic phenotypes may guide risk stratification and provide insights into mechanisms of GIST clinical aggressiveness.
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Affiliation(s)
- Kie Kyon Huang
- Cancer Science Institute of Singapore, National University of Singapore, Center for Translational Medicine, Singapore, Singapore.,Program in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - John R McPherson
- Program in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Su Ting Tay
- Program in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Kakoli Das
- Program in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Iain Beehuat Tan
- Division of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, Singapore.,Genome Institute of Singapore, Singapore, Singapore
| | - Cedric Chuan Young Ng
- Laboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, Singapore
| | - Na-Yu Chia
- Program in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Shen Li Zhang
- Program in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Swe Swe Myint
- Laboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, Singapore
| | - Longyu Hu
- Cancer Science Institute of Singapore, National University of Singapore, Center for Translational Medicine, Singapore, Singapore.,Program in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Vikneswari Rajasegaran
- Laboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, Singapore
| | - Dachuan Huang
- Laboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, Singapore
| | - Jia Liang Loh
- Laboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, Singapore
| | - Anna Gan
- Laboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, Singapore
| | - Alisa Noor Hidayah Sairi
- Division of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, Singapore
| | - Xin Xiu Sam
- Department of Pathology, Singapore General Hospital, 11 Hospital Drive, Singapore, Singapore
| | | | - Minghui Lee
- Program in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Khee Chee Soo
- Division of Surgical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, Singapore
| | - London Lucien Peng Jin Ooi
- Department of Hepatopancreaticobiliary & Transplant Surgery, Singapore General Hospital, Singapore, Singapore
| | - Hock Soo Ong
- Department of Upper GI & Bariatric Surgery, Singapore General Hospital, Singapore, Singapore
| | - Alexander Chung
- Department of Hepatopancreaticobiliary & Transplant Surgery, Singapore General Hospital, Singapore, Singapore
| | - Pierce Kah-Hoe Chow
- Division of Surgical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, Singapore.,Office of Clinical Sciences, Duke-NUS Graduate Medical School, Singapore, Singapore.,Program in Translational and Clinical Liver Research, National Cancer Center Singapore, 11 Hospital Drive, Singapore, Singapore
| | - Wai Keong Wong
- Department of Upper GI & Bariatric Surgery, Singapore General Hospital, Singapore, Singapore
| | | | - Choon Kiat Ong
- Laboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, Singapore
| | - Kiat Hon Lim
- Department of Pathology, Singapore General Hospital, 11 Hospital Drive, Singapore, Singapore
| | | | - Steve Rozen
- Program in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Bin Tean Teh
- Cancer Science Institute of Singapore, National University of Singapore, Center for Translational Medicine, Singapore, Singapore.,Program in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore.,Laboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, Singapore
| | - Richard Quek
- Division of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, Singapore
| | - Patrick Tan
- Cancer Science Institute of Singapore, National University of Singapore, Center for Translational Medicine, Singapore, Singapore.,Program in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore, Singapore.,Genome Institute of Singapore, Singapore, Singapore
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16
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Wang C, McPherson JR, Zhang LH, Rozen S, Sabapathy K. Transcription-associated mutation of lasR in Pseudomonas aeruginosa. DNA Repair (Amst) 2016; 46:9-19. [DOI: 10.1016/j.dnarep.2016.09.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Revised: 08/24/2016] [Accepted: 09/07/2016] [Indexed: 01/10/2023]
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17
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Chan THM, Qamra A, Tan KT, Guo J, Yang H, Qi L, Lin JS, Ng VHE, Song Y, Hong H, Tay ST, Liu Y, Lee J, Rha SY, Zhu F, So JBY, Teh BT, Yeoh KG, Rozen S, Tenen DG, Tan P, Chen L. ADAR-Mediated RNA Editing Predicts Progression and Prognosis of Gastric Cancer. Gastroenterology 2016; 151:637-650.e10. [PMID: 27373511 PMCID: PMC8286172 DOI: 10.1053/j.gastro.2016.06.043] [Citation(s) in RCA: 112] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2015] [Revised: 06/23/2016] [Accepted: 06/24/2016] [Indexed: 12/13/2022]
Abstract
BACKGROUD & AIMS Gastric cancer (GC) is the third leading cause of global cancer mortality. Adenosine-to-inosine RNA editing is a recently described novel epigenetic mechanism involving sequence alterations at the RNA but not DNA level, primarily mediated by ADAR (adenosine deaminase that act on RNA) enzymes. Emerging evidence suggests a role for RNA editing and ADARs in cancer, however, the relationship between RNA editing and GC development and progression remains unknown. METHODS In this study, we leveraged on the next-generation sequencing transcriptomics to demarcate the GC RNA editing landscape and the role of ADARs in this deadly malignancy. RESULTS Relative to normal gastric tissues, almost all GCs displayed a clear RNA misediting phenotype with ADAR1/2 dysregulation arising from the genomic gain and loss of the ADAR1 and ADAR2 gene in primary GCs, respectively. Clinically, patients with GCs exhibiting ADAR1/2 imbalance demonstrated extremely poor prognoses in multiple independent cohorts. Functionally, we demonstrate in vitro and in vivo that ADAR-mediated RNA misediting is closely associated with GC pathogenesis, with ADAR1 and ADAR2 playing reciprocal oncogenic and tumor suppressive roles through their catalytic deaminase domains, respectively. Using an exemplary target gene PODXL (podocalyxin-like), we demonstrate that the ADAR2-regulated recoding editing at codon 241 (His to Arg) confers a loss-of-function phenotype that neutralizes the tumorigenic ability of the unedited PODXL. CONCLUSIONS Our study highlights a major role for RNA editing in GC disease and progression, an observation potentially missed by previous next-generation sequencing analyses of GC focused on DNA alterations alone. Our findings also suggest new GC therapeutic opportunities through ADAR1 enzymatic inhibition or the potential restoration of ADAR2 activity.
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Affiliation(s)
- Tim Hon Man Chan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Aditi Qamra
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, Singapore,Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kar Tong Tan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Jing Guo
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Henry Yang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Lihua Qi
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Jaymie Siqi Lin
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Vanessa Hui En Ng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Yangyang Song
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Huiqi Hong
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Su Ting Tay
- Cancer and Stem Cell Biology Program, Duke–National University of Singapore Graduate Medical School, Singapore
| | - Yujing Liu
- Cancer and Stem Cell Biology Program, Duke–National University of Singapore Graduate Medical School, Singapore,Singapore–Massachusetts Institute of Technology Alliance, Singapore
| | - Jeeyun Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sun Yong Rha
- Yonsei Cancer Center, Seodaemun-gu, Seoul, South Korea
| | - Feng Zhu
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jimmy Bok Yan So
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Bin Tean Teh
- Cancer Science Institute of Singapore, National University of Singapore, Singapore,Cancer and Stem Cell Biology Program, Duke–National University of Singapore Graduate Medical School, Singapore,Laboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre Singapore, Singapore
| | - Khay Guan Yeoh
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore,Department of Gastroenterology and Hepatology, National University Health System, Singapore
| | - Steve Rozen
- Cancer and Stem Cell Biology Program, Duke–National University of Singapore Graduate Medical School, Singapore,Centre for Computational Biology, Duke–National University of Singapore Graduate Medical School, Singapore
| | - Daniel G. Tenen
- Cancer Science Institute of Singapore, National University of Singapore, Singapore,Harvard Stem Cell Institute, Harvard Medical School, Boston, Massachusetts
| | - Patrick Tan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore; Cancer and Stem Cell Biology Program, Duke-National University of Singapore Graduate Medical School, Singapore; Cellular and Molecular Research, National Cancer Centre, Singapore; Genome Institute of Singapore, Singapore.
| | - Leilei Chen
- Cancer Science Institute of Singapore, National University of Singapore, Singapore; Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
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18
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Yu W, Huang M, Teoh W, Ardin M, Villar S, Jusakul A, Othman R, Sabapathy K, Zavadil J, Rozen S. Genome-wide AFB1-induced mutational signature in cells, mice and human tumors – implications for molecular epidemiology. Eur J Cancer 2016. [DOI: 10.1016/s0959-8049(16)61534-4] [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: 10/21/2022]
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19
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Souma T, Tompson SW, Thomson BR, Siggs OM, Kizhatil K, Yamaguchi S, Feng L, Limviphuvadh V, Whisenhunt KN, Maurer-Stroh S, Yanovitch TL, Kalaydjieva L, Azmanov DN, Finzi S, Mauri L, Javadiyan S, Souzeau E, Zhou T, Hewitt AW, Kloss B, Burdon KP, Mackey DA, Allen KF, Ruddle JB, Lim SH, Rozen S, Tran-Viet KN, Liu X, John S, Wiggs JL, Pasutto F, Craig JE, Jin J, Quaggin SE, Young TL. Angiopoietin receptor TEK mutations underlie primary congenital glaucoma with variable expressivity. J Clin Invest 2016; 126:2575-87. [PMID: 27270174 DOI: 10.1172/jci85830] [Citation(s) in RCA: 135] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Accepted: 04/19/2016] [Indexed: 12/14/2022] Open
Abstract
Primary congenital glaucoma (PCG) is a devastating eye disease and an important cause of childhood blindness worldwide. In PCG, defects in the anterior chamber aqueous humor outflow structures of the eye result in elevated intraocular pressure (IOP); however, the genes and molecular mechanisms involved in the etiology of these defects have not been fully characterized. Previously, we observed PCG-like phenotypes in transgenic mice that lack functional angiopoietin-TEK signaling. Herein, we identified rare TEK variants in 10 of 189 unrelated PCG families and demonstrated that each mutation results in haploinsufficiency due to protein loss of function. Multiple cellular mechanisms were responsible for the loss of protein function resulting from individual TEK variants, including an absence of normal protein production, protein aggregate formation, enhanced proteasomal degradation, altered subcellular localization, and reduced responsiveness to ligand stimulation. Further, in mice, hemizygosity for Tek led to the formation of severely hypomorphic Schlemm's canal and trabecular meshwork, as well as elevated IOP, demonstrating that anterior chamber vascular development is sensitive to Tek gene dosage and the resulting decrease in angiopoietin-TEK signaling. Collectively, these results identify TEK mutations in patients with PCG that likely underlie disease and are transmitted in an autosomal dominant pattern with variable expressivity.
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20
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Chan C, Thurnherr T, Wang J, Gallart-Palau X, Sze SK, Rozen S, Lee CG. Global re-wiring of p53 transcription regulation by the hepatitis B virus X protein. Mol Oncol 2016; 10:1183-95. [PMID: 27302019 DOI: 10.1016/j.molonc.2016.05.006] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [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: 04/05/2016] [Revised: 05/16/2016] [Accepted: 05/17/2016] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND The tumour suppressor p53 is a central player in transcription regulation and cell fate determination. By interacting with p53 and altering its sequence-specific binding to the response elements, the hepatitis B virus X protein (HBx) was reported to re-direct p53 regulation of some genes. RESULTS Coupling massively parallel deep sequencing with p53 chromatin immunoprecipitation, we demonstrate that HBx modulates global p53 site selection and that this was strongly influenced by altered interaction with transcription co-factors/co-regulators as well as post-translational modifications. Specifically, HBx attenuated p53-TBP-RB1 transcription complex recruitment and interaction and this was associated with hyper-phosphorylation of p53 at serine 315 by HBx. Concurrently, HBx enhanced p53 DNA occupancy to other response elements either alone by displacing specific transcription factors such as CEBPB and NFkB1, or in complex with distinct interacting co-factors Sp1, JUN and E2F1. Importantly, re-wiring of p53 transcription regulation by HBx was linked to the deregulation of genes involved in cell proliferation and death, suggesting a role of HBx in errant cell fate determination mediated by altered p53 site selection of target genes. CONCLUSIONS Our study thus presents first evidence of global modes of p53 transcription alteration by HBx and provides new insights to understand and potentially curtail the viral oncoprotein.
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Affiliation(s)
- Cheryl Chan
- Division of Medical Sciences, Humphrey Oei Institute of Cancer Research, National Cancer Centre Singapore, Singapore 169610, Singapore; NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore 117456, Singapore
| | - Thomas Thurnherr
- NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore 117456, Singapore; Duke-NUS Graduate Medical School, Singapore 169857, Singapore
| | - Jingbo Wang
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Xavier Gallart-Palau
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Siu Kwan Sze
- School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Steve Rozen
- Duke-NUS Graduate Medical School, Singapore 169857, Singapore
| | - Caroline G Lee
- Division of Medical Sciences, Humphrey Oei Institute of Cancer Research, National Cancer Centre Singapore, Singapore 169610, Singapore; NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore 117456, Singapore; Duke-NUS Graduate Medical School, Singapore 169857, Singapore; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
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21
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Yang F, Silber S, Leu NA, Oates RD, Marszalek JD, Skaletsky H, Brown LG, Rozen S, Page DC, Wang PJ. TEX11 is mutated in infertile men with azoospermia and regulates genome-wide recombination rates in mouse. EMBO Mol Med 2016; 7:1198-210. [PMID: 26136358 PMCID: PMC4568952 DOI: 10.15252/emmm.201404967] [Citation(s) in RCA: 113] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Genome-wide recombination is essential for genome stability, evolution, and speciation. Mouse Tex11, an X-linked meiosis-specific gene, promotes meiotic recombination and chromosomal synapsis. Here, we report that TEX11 is mutated in infertile men with non-obstructive azoospermia and that an analogous mutation in the mouse impairs meiosis. Genetic screening of a large cohort of idiopathic infertile men reveals that TEX11 mutations, including frameshift and splicing acceptor site mutations, cause infertility in 1% of azoospermic men. Functional evaluation of three analogous human TEX11 missense mutations in transgenic mouse models identified one mutation (V748A) as a potential infertility allele and found two mutations non-causative. In the mouse model, an intronless autosomal Tex11 transgene functionally substitutes for the X-linked Tex11 gene, providing genetic evidence for the X-to-autosomal retrotransposition evolution phenomenon. Furthermore, we find that TEX11 protein levels modulate genome-wide recombination rates in both sexes. These studies indicate that TEX11 alleles affecting expression level or substituting single amino acids may contribute to variations in recombination rates between sexes and among individuals in humans.
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Affiliation(s)
- Fang Yang
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sherman Silber
- Infertility Center of St. Louis, St. Luke's Hospital, St. Louis, MO, USA
| | - N Adrian Leu
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Robert D Oates
- Department of Urology, Boston University Medical Center, Boston, MA, USA
| | - Janet D Marszalek
- Howard Hughes Medical Institute, Whitehead Institute, Cambridge, MA, USA
| | - Helen Skaletsky
- Howard Hughes Medical Institute, Whitehead Institute, Cambridge, MA, USA
| | - Laura G Brown
- Howard Hughes Medical Institute, Whitehead Institute, Cambridge, MA, USA
| | - Steve Rozen
- Howard Hughes Medical Institute, Whitehead Institute, Cambridge, MA, USA Duke-Nus Graduate Medical School Singapore, Singapore City, Singapore
| | - David C Page
- Howard Hughes Medical Institute, Whitehead Institute, Cambridge, MA, USA Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - P Jeremy Wang
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
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22
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Das K, Chan XB, Epstein D, Te Teh B, Kim KM, Kim ST, Park SH, Kang WK, Rozen S, Lee J, Tan P. NanoString expression profiling identifies candidate biomarkers of RAD001 response in metastatic gastric cancer. ESMO Open 2016; 1:e000009. [PMID: 27843583 PMCID: PMC5070203 DOI: 10.1136/esmoopen-2015-000009] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [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: 12/02/2015] [Revised: 01/15/2016] [Accepted: 01/19/2016] [Indexed: 12/25/2022] Open
Abstract
Background Gene expression profiling has contributed greatly to cancer research. However, expression-driven biomarker discovery in metastatic gastric cancer (mGC) remains unclear. A gene expression profile predicting RAD001 response in refractory GC was explored in this study. Methods Total RNA isolated from 54 tumour specimens from patients with mGC, prior to RAD001 treatment, was analysed via the NanoString nCounter gene expression assay. This assay targeted 477 genes representing 10 different GC-related oncogenic signalling and molecular subtype-specific expression signatures. Gene expression profiles were correlated with patient clinicopathological variables. Results NanoString data confirmed similar gene expression profiles previously identified by microarray analysis. Signature I with 3 GC subtypes (mesenchymal, metabolic and proliferative) showed approximately 90% concordance where the mesenchymal and proliferative subtypes were significantly associated with signet ring cell carcinoma and the WHO classified tubular adenocarcinoma GC, respectively (p=0.042). Single-gene-level correlations with patient clinicopathological variables showed strong associations between FHL1 expression (mesenchymal subtype) and signet ring cell carcinoma, and NEK2, OIP5, PRC1, TPX2 expression (proliferative subtype) with tubular adenocarcinoma (adjusted p<0.05). Increased BRCA2 (p=0.040) and MMP9 (p=0.045) expression was significantly associated with RAD001 good response and longer progression-free survival outcome (BRCA2, p=0.012, HR 0.370 95% CI (0.171 to 0.800); MMP9, p=0.010, HR 0.359 95% CI (0.166 to 0.779)). In contrast, increased BTC (p=0.035) expression was significantly associated with RAD001 poor response and poor progression-free survival (p=0.031, HR 2.336 95% CI (1.079 to 5.059) by univariate Cox regression analysis. Conclusions Microarray results are highly reproducible with NanoString nCounter gene expression profiling. Additionally, BRCA2 and MMP9 expression are potential predictive biomarkers for good response in RAD001-treated mGC.
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Affiliation(s)
- Kakoli Das
- Cancer and Stem Cell Biology Program, Duke-NUS Medical School.
| | - Xiu Bin Chan
- Genome Institute of Singapore, Biopolis, Singapore
| | - David Epstein
- Cancer and Stem Cell Biology Program, Duke-NUS Medical School
| | - Binan Te Teh
- Cancer and Stem Cell Biology Program, Duke-NUS Medical School; Laboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre Singapore, Singapore; Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Kyoung-Mee Kim
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seung Tae Kim
- Department of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Se Hoon Park
- Department of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Won Ki Kang
- Department of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Steve Rozen
- Cancer and Stem Cell Biology Program, Duke-NUS Medical School
| | - Jeeyun Lee
- Department of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Patrick Tan
- Cancer and Stem Cell Biology Program, Duke-NUS Medical School; Genome Institute of Singapore, Biopolis, Singapore; Cancer Science Institute of Singapore, National University of Singapore, Singapore
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23
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Vettore AL, Ramnarayanan K, Poore G, Lim K, Ong CK, Huang KK, Leong HS, Chong FT, Lim TKH, Lim WK, Cutcutache I, Mcpherson JR, Suzuki Y, Zhang S, Skanthakumar T, Wang W, Tan DSW, Cho BC, Teh BT, Rozen S, Tan P, Iyer NG. Mutational landscapes of tongue carcinoma reveal recurrent mutations in genes of therapeutic and prognostic relevance. Genome Med 2015; 7:98. [PMID: 26395002 PMCID: PMC4580363 DOI: 10.1186/s13073-015-0219-2] [Citation(s) in RCA: 69] [Impact Index Per Article: 7.7] [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: 04/09/2015] [Accepted: 08/25/2015] [Indexed: 12/19/2022] Open
Abstract
Background Carcinoma of the oral tongue (OTSCC) is the most common malignancy of the oral cavity, characterized by frequent recurrence and poor survival. The last three decades has witnessed a change in the OTSCC epidemiological profile, with increasing incidence in younger patients, females and never-smokers. Here, we sought to characterize the OTSCC genomic landscape and to determine factors that may delineate the genetic basis of this disease, inform prognosis and identify targets for therapeutic intervention. Methods Seventy-eight cases were subjected to whole-exome (n = 18) and targeted deep sequencing (n = 60). Results While the most common mutation was in TP53, the OTSCC genetic landscape differed from previously described cohorts of patients with head and neck tumors: OTSCCs demonstrated frequent mutations in DST and RNF213, while alterations in CDKN2A and NOTCH1 were significantly less frequent. Despite a lack of previously reported NOTCH1 mutations, integrated analysis showed enrichments of alterations affecting Notch signaling in OTSCC. Importantly, these Notch pathway alterations were prognostic on multivariate analyses. A high proportion of OTSCCs also presented with alterations in drug targetable and chromatin remodeling genes. Patients harboring mutations in actionable pathways were more likely to succumb from recurrent disease compared with those who did not, suggesting that the former should be considered for treatment with targeted compounds in future trials. Conclusions Our study defines the Asian OTSCC mutational landscape, highlighting the key role of Notch signaling in oral tongue tumorigenesis. We also observed somatic mutations in multiple therapeutically relevant genes, which may represent candidate drug targets in this highly lethal tumor type. Electronic supplementary material The online version of this article (doi:10.1186/s13073-015-0219-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Andre Luiz Vettore
- Cancer Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singaore. .,Laboratory of Cancer Molecular Biology, Department of Biological Sciences, Federal University of São Paulo, Rua Pedro de Toledo 669, São Paulo, 04039-032, Brazil.
| | - Kalpana Ramnarayanan
- Cancer Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singaore.
| | - Gregory Poore
- Cancer Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singaore.
| | - Kevin Lim
- Cancer Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singaore.
| | - Choon Kiat Ong
- Cancer Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singaore. .,Laboratory of Cancer Molecular Biology, Department of Biological Sciences, Federal University of São Paulo, Rua Pedro de Toledo 669, São Paulo, 04039-032, Brazil.
| | - Kie Kyon Huang
- Cancer Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singaore.
| | - Hui Sun Leong
- Cancer Therapeutics Research Laboratory, National Cancer Centre, 11 Hospital Drive, Singapore, 169610, Singapore.
| | - Fui Teen Chong
- Cancer Therapeutics Research Laboratory, National Cancer Centre, 11 Hospital Drive, Singapore, 169610, Singapore.
| | - Tony Kiat-Hon Lim
- Department of Pathology, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.
| | - Weng Khong Lim
- Cancer Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singaore. .,Laboratory of Cancer Epigenome, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, 169610, Singapore.
| | - Ioana Cutcutache
- Cancer Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singaore.
| | - John R Mcpherson
- Cancer Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singaore.
| | - Yuka Suzuki
- Cancer Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singaore.
| | - Shenli Zhang
- Cancer Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singaore.
| | - Thakshayeni Skanthakumar
- Department of Surgical Oncology, National Cancer Centre, 11 Hospital Drive, Singapore, 169610, Singapore.
| | - Weining Wang
- Department of Surgical Oncology, National Cancer Centre, 11 Hospital Drive, Singapore, 169610, Singapore.
| | - Daniel S W Tan
- Cancer Therapeutics Research Laboratory, National Cancer Centre, 11 Hospital Drive, Singapore, 169610, Singapore.
| | - Byoung Chul Cho
- Cancer Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singaore. .,Division of Medical Oncology, Yonsei Cancer Center, Yonsei Unversity College of Medicine, 250 Seongsanno, Seodaemun-gu, Seoul, 120-752, South Korea.
| | - Bin Tean Teh
- Cancer Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singaore. .,Laboratory of Cancer Epigenome, National Cancer Centre Singapore, 11 Hospital Drive, Singapore, 169610, Singapore. .,Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, #12-01, Singapore, 117599, Singapore.
| | - Steve Rozen
- Cancer Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singaore. .,Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, 27710, USA.
| | - Patrick Tan
- Cancer Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singaore. .,Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, #12-01, Singapore, 117599, Singapore. .,Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, 60 Biopolis Street, Genome #02-01, Singapore, 138672, Singapore.
| | - N Gopalakrishna Iyer
- Cancer Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singaore. .,Cancer Therapeutics Research Laboratory, National Cancer Centre, 11 Hospital Drive, Singapore, 169610, Singapore. .,Department of Surgical Oncology, National Cancer Centre, 11 Hospital Drive, Singapore, 169610, Singapore.
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24
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Chua C, Ho DL, Suzuki Y, Malik S, McPherson J, Gan A, Koh D, Tang CL, Ng SBH, Tan P, Rozen S, Tan IB. Abstract 4813: High-depth sequencing of 800 cancer-associated genes in 48 matched tumor-normal tissues to identify somatic alterations including low-frequency variants in colorectal cancer. Cancer Res 2015. [DOI: 10.1158/1538-7445.am2015-4813] [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
Purpose: Colorectal cancer is the 3rd most common cancer globally accounting for 10% of the global cancer burden. Catalogues of somatic mutations in cancer (e.g. The Cancer Genome Atlas (TCGA)) are based upon exome sequencing, typically performed at depths of ∼ 80x, which will miss sub-clonal low-frequency somatic variants. We performed high depth sequencing of 800 cancer-associated genes across 48 tumor/normal pairs of CRC to catalogue somatic variants including those present at low variant allele frequencies.
Method: We used the Agilent SureSelect Target Enrichment system to design a customized enrichment panel comprising all coding exons of ∼800 cancer-associated genes. From genomic DNA extracted from frozen tissue specimens (matched primary tumor and adjacent normal), we performed library construction, target enrichment and illumina next generation sequencing. We used 3 variant-calling algorithms - a Genome Analyzer Toolkit (GATK) based pipeline, LoFreq and MuTect to identify somatic variants including sub-clonal variants present at low variant allele frequencies.
Results: Sequencing was performed to a median of 302-fold and 310-fold coverage across target regions in the tumor tissues and normal tissues respectively. The use of 3 bioinformatics variant-calling algorithm allowed sensitive and comprehensive identification of variants down to a variant allele frequency of 2.5%; selected variants were validated by an orthogonal sequencing platform (Ion Torrent). The validation rate was > 97%. Each patient had a variant in a median of 19 genes (range 8-100) with a different complement of clonal and sub-clonal variants. Recurrent alterations (e.g. APC, KRAS, TP53) tended to be clonal. Broad regions of allelic imbalance (based on heterozygous SNPs identified in each patient's normal tissue) could also be mapped in each patient.
Conclusion: High Depth sequencing of 800 cancer-associated genes in 48 matched tumor normal tissues permits identification of somatic alterations including low-frequency variants and sub-clonal alterations in patients with colorectal cancer.
Citation Format: Clarinda Chua, Dan Liang Ho, Yuka Suzuki, Simeen Malik, John McPherson, Anna Gan, Dennis Koh, Choon Leong Tang, Sarah Boon Hsi Ng, Patrick Tan, Steve Rozen, Iain Beehuat Tan. High-depth sequencing of 800 cancer-associated genes in 48 matched tumor-normal tissues to identify somatic alterations including low-frequency variants in colorectal cancer. [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 4813. doi:10.1158/1538-7445.AM2015-4813
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Affiliation(s)
- Clarinda Chua
- 1National Cancer Centre Singapore, Singapore, Singapore
| | - Dan Liang Ho
- 1National Cancer Centre Singapore, Singapore, Singapore
| | | | | | | | - Anna Gan
- 3Genome Institute of Singapore, Singapore, Singapore
| | - Dennis Koh
- 4Singapore General Hospital, Singapore, Singapore
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Chia NY, Deng N, Das K, Huang D, Hu L, Zhu Y, Lim KH, Lee MH, Wu J, Sam XX, Tan GS, Wan WK, Yu W, Gan A, Tan ALK, Tay ST, Soo KC, Wong WK, Dominguez LTM, Ng HH, Rozen S, Goh LK, Teh BT, Tan P. Regulatory crosstalk between lineage-survival oncogenes KLF5, GATA4 and GATA6 cooperatively promotes gastric cancer development. Gut 2015; 64:707-19. [PMID: 25053715 DOI: 10.1136/gutjnl-2013-306596] [Citation(s) in RCA: 123] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2013] [Accepted: 06/28/2014] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Gastric cancer (GC) is a deadly malignancy for which new therapeutic strategies are needed. Three transcription factors, KLF5, GATA4 and GATA6, have been previously reported to exhibit genomic amplification in GC. We sought to validate these findings, investigate how these factors function to promote GC, and identify potential treatment strategies for GCs harbouring these amplifications. DESIGN KLF5, GATA4 and GATA6 copy number and gene expression was examined in multiple GC cohorts. Chromatin immunoprecipitation with DNA sequencing was used to identify KLF5/GATA4/GATA6 genomic binding sites in GC cell lines, and integrated with transcriptomics to highlight direct target genes. Phenotypical assays were conducted to assess the function of these factors in GC cell lines and xenografts in nude mice. RESULTS KLF5, GATA4 and GATA6 amplifications were confirmed in independent GC cohorts. Although factor amplifications occurred in distinct sets of GCs, they exhibited significant mRNA coexpression in primary GCs, consistent with KLF5/GATA4/GATA6 cross-regulation. Chromatin immunoprecipitation with DNA sequencing revealed a large number of genomic sites co-occupied by KLF5 and GATA4/GATA6, primarily located at gene promoters and exhibiting higher binding strengths. KLF5 physically interacted with GATA factors, supporting KLF5/GATA4/GATA6 cooperative regulation on co-occupied genes. Depletion and overexpression of these factors, singly or in combination, reduced and promoted cancer proliferation, respectively, in vitro and in vivo. Among the KLF5/GATA4/GATA6 direct target genes relevant for cancer development, one target gene, HNF4α, was also required for GC proliferation and could be targeted by the antidiabetic drug metformin, revealing a therapeutic opportunity for KLF5/GATA4/GATA6 amplified GCs. CONCLUSIONS KLF5/GATA4/GATA6 may promote GC development by engaging in mutual crosstalk, collaborating to maintain a pro-oncogenic transcriptional regulatory network in GC cells.
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Affiliation(s)
- Na-Yu Chia
- Cancer and Stem Cell Biology program, Duke-NUS Graduate Medical School Singapore, Singapore, Singapore A*STAR-Duke-NUS Neuroscience Partnership, Duke-NUS Graduate Medical School Singapore, Singapore, Singapore
| | - Niantao Deng
- Cancer and Stem Cell Biology program, Duke-NUS Graduate Medical School Singapore, Singapore, Singapore NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore
| | - Kakoli Das
- Cancer and Stem Cell Biology program, Duke-NUS Graduate Medical School Singapore, Singapore, Singapore
| | - Dachuan Huang
- Laboratory of Cancer Epigenome, National Cancer Centre, Singapore, Singapore
| | - Longyu Hu
- Cancer and Stem Cell Biology program, Duke-NUS Graduate Medical School Singapore, Singapore, Singapore Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Yansong Zhu
- Cancer and Stem Cell Biology program, Duke-NUS Graduate Medical School Singapore, Singapore, Singapore
| | - Kiat Hon Lim
- Department of Pathology, Singapore General Hospital, Singapore, Singapore
| | - Ming-Hui Lee
- Cellular and Molecular Research, National Cancer Centre, Singapore, Singapore
| | - Jeanie Wu
- Cellular and Molecular Research, National Cancer Centre, Singapore, Singapore
| | - Xin Xiu Sam
- Department of Pathology, Singapore General Hospital, Singapore, Singapore
| | - Gek San Tan
- Department of Pathology, Singapore General Hospital, Singapore, Singapore
| | - Wei Keat Wan
- Department of Pathology, Singapore General Hospital, Singapore, Singapore
| | - Willie Yu
- Laboratory of Cancer Epigenome, National Cancer Centre, Singapore, Singapore
| | - Anna Gan
- Laboratory of Cancer Epigenome, National Cancer Centre, Singapore, Singapore
| | - Angie Lay Keng Tan
- Cancer and Stem Cell Biology program, Duke-NUS Graduate Medical School Singapore, Singapore, Singapore
| | - Su-Ting Tay
- Cancer and Stem Cell Biology program, Duke-NUS Graduate Medical School Singapore, Singapore, Singapore
| | - Khee Chee Soo
- Department of Surgical Oncology, National Cancer Centre, Singapore, Singapore
| | - Wai Keong Wong
- Dept of General Surgery, Singapore General Hospital, Singapore, Singapore
| | | | - Huck-Hui Ng
- Genome Institute of Singapore, Singapore, Singapore
| | - Steve Rozen
- Cancer and Stem Cell Biology program, Duke-NUS Graduate Medical School Singapore, Singapore, Singapore A*STAR-Duke-NUS Neuroscience Partnership, Duke-NUS Graduate Medical School Singapore, Singapore, Singapore
| | - Liang-Kee Goh
- Cancer and Stem Cell Biology program, Duke-NUS Graduate Medical School Singapore, Singapore, Singapore Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Bin-Tean Teh
- Cancer and Stem Cell Biology program, Duke-NUS Graduate Medical School Singapore, Singapore, Singapore Laboratory of Cancer Epigenome, National Cancer Centre, Singapore, Singapore
| | - Patrick Tan
- Cancer and Stem Cell Biology program, Duke-NUS Graduate Medical School Singapore, Singapore, Singapore Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore Cellular and Molecular Research, National Cancer Centre, Singapore, Singapore Genome Institute of Singapore, Singapore, Singapore
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Tan IB, Malik S, Ramnarayanan K, McPherson JR, Ho DL, Suzuki Y, Ng SB, Yan S, Lim KH, Koh D, Hoe CM, Chan CY, Ten R, Goh BK, Chung AY, Tan J, Chan CX, Tay ST, Alexander L, Nagarajan N, Hillmer AM, Tang CL, Chua C, Teh BT, Rozen S, Tan P. High-depth sequencing of over 750 genes supports linear progression of primary tumors and metastases in most patients with liver-limited metastatic colorectal cancer. Genome Biol 2015; 16:32. [PMID: 25808843 PMCID: PMC4365969 DOI: 10.1186/s13059-015-0589-1] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2014] [Accepted: 01/20/2015] [Indexed: 12/12/2022] Open
Abstract
Background Colorectal cancer with metastases limited to the liver (liver-limited mCRC) is a distinct clinical subset characterized by possible cure with surgery. We performed high-depth sequencing of over 750 cancer-associated genes and copy number profiling in matched primary, metastasis and normal tissues to characterize genomic progression in 18 patients with liver-limited mCRC. Results High depth Illumina sequencing and use of three different variant callers enable comprehensive and accurate identification of somatic variants down to 2.5% variant allele frequency. We identify a median of 11 somatic single nucleotide variants (SNVs) per tumor. Across patients, a median of 79.3% of somatic SNVs present in the primary are present in the metastasis and 81.7% of all alterations present in the metastasis are present in the primary. Private alterations are found at lower allele frequencies; a different mutational signature characterized shared and private variants, suggesting distinct mutational processes. Using B-allele frequencies of heterozygous germline SNPs and copy number profiling, we find that broad regions of allelic imbalance and focal copy number changes, respectively, are generally shared between the primary tumor and metastasis. Conclusions Our analyses point to high genomic concordance of primary tumor and metastasis, with a thick common trunk and smaller genomic branches in general support of the linear progression model in most patients with liver-limited mCRC. More extensive studies are warranted to further characterize genomic progression in this important clinical population. Electronic supplementary material The online version of this article (doi:10.1186/s13059-015-0589-1) contains supplementary material, which is available to authorized users.
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Soh YQS, Alföldi J, Pyntikova T, Brown LG, Graves T, Minx PJ, Fulton RS, Kremitzki C, Koutseva N, Mueller JL, Rozen S, Hughes JF, Owens E, Womack JE, Murphy WJ, Cao Q, de Jong P, Warren WC, Wilson RK, Skaletsky H, Page DC. Sequencing the mouse Y chromosome reveals convergent gene acquisition and amplification on both sex chromosomes. Cell 2014; 159:800-13. [PMID: 25417157 DOI: 10.1016/j.cell.2014.09.052] [Citation(s) in RCA: 213] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2014] [Revised: 09/04/2014] [Accepted: 09/22/2014] [Indexed: 01/27/2023]
Abstract
We sequenced the MSY (male-specific region of the Y chromosome) of the C57BL/6J strain of the laboratory mouse Mus musculus. In contrast to theories that Y chromosomes are heterochromatic and gene poor, the mouse MSY is 99.9% euchromatic and contains about 700 protein-coding genes. Only 2% of the MSY derives from the ancestral autosomes that gave rise to the mammalian sex chromosomes. Instead, all but 45 of the MSY's genes belong to three acquired, massively amplified gene families that have no homologs on primate MSYs but do have acquired, amplified homologs on the mouse X chromosome. The complete mouse MSY sequence brings to light dramatic forces in sex chromosome evolution: lineage-specific convergent acquisition and amplification of X-Y gene families, possibly fueled by antagonism between acquired X-Y homologs. The mouse MSY sequence presents opportunities for experimental studies of a sex-specific chromosome in its entirety, in a genetically tractable model organism.
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Affiliation(s)
- Y Q Shirleen Soh
- Whitehead Institute, 9 Cambridge Center, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Jessica Alföldi
- Whitehead Institute, 9 Cambridge Center, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | | | - Laura G Brown
- Whitehead Institute, 9 Cambridge Center, Cambridge, MA 02142, USA; Howard Hughes Medical Institute, Whitehead Institute, Cambridge, MA 02142, USA
| | - Tina Graves
- The Genome Institute, Washington University School of Medicine, 4444 Forest Park Boulevard, St. Louis, MO 63108, USA
| | - Patrick J Minx
- The Genome Institute, Washington University School of Medicine, 4444 Forest Park Boulevard, St. Louis, MO 63108, USA
| | - Robert S Fulton
- The Genome Institute, Washington University School of Medicine, 4444 Forest Park Boulevard, St. Louis, MO 63108, USA
| | - Colin Kremitzki
- The Genome Institute, Washington University School of Medicine, 4444 Forest Park Boulevard, St. Louis, MO 63108, USA
| | - Natalia Koutseva
- Whitehead Institute, 9 Cambridge Center, Cambridge, MA 02142, USA
| | - Jacob L Mueller
- Whitehead Institute, 9 Cambridge Center, Cambridge, MA 02142, USA
| | - Steve Rozen
- Whitehead Institute, 9 Cambridge Center, Cambridge, MA 02142, USA
| | | | - Elaine Owens
- College of Veterinary Medicine and Biomedical Sciences, 4458 Texas A&M University, College Station, TX 77843, USA
| | - James E Womack
- College of Veterinary Medicine and Biomedical Sciences, 4458 Texas A&M University, College Station, TX 77843, USA
| | - William J Murphy
- College of Veterinary Medicine and Biomedical Sciences, 4458 Texas A&M University, College Station, TX 77843, USA
| | - Qing Cao
- BACPAC Resources, Children's Hospital Oakland, 747 52nd Street, Oakland, CA 94609, USA
| | - Pieter de Jong
- BACPAC Resources, Children's Hospital Oakland, 747 52nd Street, Oakland, CA 94609, USA
| | - Wesley C Warren
- The Genome Institute, Washington University School of Medicine, 4444 Forest Park Boulevard, St. Louis, MO 63108, USA
| | - Richard K Wilson
- The Genome Institute, Washington University School of Medicine, 4444 Forest Park Boulevard, St. Louis, MO 63108, USA
| | - Helen Skaletsky
- Whitehead Institute, 9 Cambridge Center, Cambridge, MA 02142, USA; Howard Hughes Medical Institute, Whitehead Institute, Cambridge, MA 02142, USA
| | - David C Page
- Whitehead Institute, 9 Cambridge Center, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Howard Hughes Medical Institute, Whitehead Institute, Cambridge, MA 02142, USA.
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Ong CK, Chan-on W, Nairismagi ML, Lim WK, Dima S, Pairojkul C, Sithithaworn P, Popescu I, Rozen S, Tan P, Teh BT. Abstract 5184: Distinct mutational patterns in liver fluke-related and non-infection-related bile duct cancers revealed by whole exome sequencing. Cancer Res 2014. [DOI: 10.1158/1538-7445.am2014-5184] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [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
Cholangiocarcinoma, the second most common liver cancer, is known to be caused by different etiologies such as liver fluke infection, choledochal cyst and primary sclerosing cholangitis. Thus, this cancer provides a good model to study the impact of different carcinogenic exposures on the specific patterns of somatic mutations in human tumors. To address this issue, we profiled 209 cholangiocarcinomas (CCAs) from Asia and Europe, including 108 cases caused by liver fluke Opisthorchis viverrini (O. viverrini)-infection and 101 cases due to non-O. viverrini etiologies. Whole-exome (N = 15) and prevalence screening (N = 194) revealed recurrent somatic mutations in BAP1 and ARID1A, neither of which has been previously reported to be mutated in CCA. Comparisons between intrahepatic O. viverrini and non-O. viverrini CCAs demonstrated statistically significant different mutation patterns: BAP1 and IDH1/2 were more frequently mutated in non-O. viverrini CCAs, while TP53 displayed the reciprocal pattern. Functional studies demonstrated tumor suppressive roles of BAP1 and ARID1A, establishing the role of chromatin modulators in CCA pathogenesis. These findings indicate that different causative etiologies may induce distinct somatic alterations even within the same tumor type.
Citation Format: Choon Kiat Ong, Waraporn Chan-on, Maarja-Liisa Nairismagi, Weng Khong Lim, Simona Dima, Chawalit Pairojkul, Paiboon Sithithaworn, Irinel Popescu, Steve Rozen, Patrick Tan, Bin Tean Teh. Distinct mutational patterns in liver fluke-related and non-infection-related bile duct cancers revealed by whole exome sequencing. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 5184. doi:10.1158/1538-7445.AM2014-5184
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Affiliation(s)
- Choon Kiat Ong
- 1National Cancer Centre of Singapore, Singapore, Singapore
| | | | | | - Weng Khong Lim
- 1National Cancer Centre of Singapore, Singapore, Singapore
| | - Simona Dima
- 2Fundeni Clinical Institute, Bucharest, Romania
| | | | | | | | - Steve Rozen
- 4Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Patrick Tan
- 4Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Bin Tean Teh
- 1National Cancer Centre of Singapore, Singapore, Singapore
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Bellott DW, Hughes JF, Skaletsky H, Brown LG, Pyntikova T, Cho TJ, Koutseva N, Zaghlul S, Graves T, Rock S, Kremitzki C, Fulton RS, Dugan S, Ding Y, Morton D, Khan Z, Lewis L, Buhay C, Wang Q, Watt J, Holder M, Lee S, Nazareth L, Alföldi J, Rozen S, Muzny DM, Warren WC, Gibbs RA, Wilson RK, Page DC. Erratum: Corrigendum: Mammalian Y chromosomes retain widely expressed dosage-sensitive regulators. Nature 2014. [DOI: 10.1038/nature13719] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Fan Y, Marcy G, Lee ESM, Rozen S, Mattar CNZ, Waddington SN, Goh ELK, Choolani M, Chan JKY. Regionally-specified second trimester fetal neural stem cells reveals differential neurogenic programming. PLoS One 2014; 9:e105985. [PMID: 25181041 PMCID: PMC4152177 DOI: 10.1371/journal.pone.0105985] [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] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2013] [Accepted: 07/30/2014] [Indexed: 01/30/2023] Open
Abstract
Neural stem/progenitor cells (NSC) have the potential for treatment of a wide range of neurological diseases such as Parkinson Disease and multiple sclerosis. Currently, NSC have been isolated only from hippocampus and subventricular zone (SVZ) of the adult brain. It is not known whether NSC can be found in all parts of the developing mid-trimester central nervous system (CNS) when the brain undergoes massive transformation and growth. Multipotent NSC from the mid-trimester cerebra, thalamus, SVZ, hippocampus, thalamus, cerebellum, brain stem and spinal cord can be derived and propagated as clonal neurospheres with increasing frequencies with increasing gestations. These NSC can undergo multi-lineage differentiation both in vitro and in vivo, and engraft in a developmental murine model. Regionally-derived NSC are phenotypically distinct, with hippocampal NSC having a significantly higher neurogenic potential (53.6%) over other sources (range of 0%–27.5%, p<0.004). Whole genome expression analysis showed differential gene expression between these regionally-derived NSC, which involved the Notch, epidermal growth factor as well as interleukin pathways. We have shown the presence of phenotypically-distinct regionally-derived NSC from the mid-trimester CNS, which may reflect the ontological differences occurring within the CNS. Aside from informing on the role of such cells during fetal growth, they may be useful for different cellular therapy applications.
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Affiliation(s)
- Yiping Fan
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore
- Experimental Fetal Medicine Group, Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University Health System, Singapore, Singapore
| | - Guillaume Marcy
- Neuroscience and Behavioral Disorder Program, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Eddy S. M. Lee
- Richard M. Lucas Center for Imaging, Radiology Department, Stanford University, Stanford, California, United States of America
| | - Steve Rozen
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Citra N. Z. Mattar
- Experimental Fetal Medicine Group, Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University Health System, Singapore, Singapore
| | - Simon N. Waddington
- Gene Transfer Technology Group, Institute for Women's Health, University College London, London, United Kingdom
- Faculty of Health Sciences, University of the Witswatersrand, Johannesburg, South Africa
| | - Eyleen L. K. Goh
- Neuroscience and Behavioral Disorder Program, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Mahesh Choolani
- Experimental Fetal Medicine Group, Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University Health System, Singapore, Singapore
- * E-mail: (JKYC); (MC)
| | - Jerry K. Y. Chan
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore
- Experimental Fetal Medicine Group, Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University Health System, Singapore, Singapore
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, Singapore, Singapore
- * E-mail: (JKYC); (MC)
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31
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Bellott DW, Hughes JF, Skaletsky H, Brown LG, Pyntikova T, Cho TJ, Koutseva N, Zaghlul S, Graves T, Rock S, Kremitzki C, Fulton RS, Dugan S, Ding Y, Morton D, Khan Z, Lewis L, Buhay C, Wang Q, Watt J, Holder M, Lee S, Nazareth L, Alföldi J, Rozen S, Muzny DM, Warren WC, Gibbs RA, Wilson RK, Page DC. Mammalian Y chromosomes retain widely expressed dosage-sensitive regulators. Nature 2014; 508:494-9. [PMID: 24759411 PMCID: PMC4139287 DOI: 10.1038/nature13206] [Citation(s) in RCA: 432] [Impact Index Per Article: 43.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2013] [Accepted: 03/06/2014] [Indexed: 12/31/2022]
Abstract
The human X and Y chromosomes evolved from an ordinary pair of autosomes, but
millions of years ago genetic decay ravaged the Y chromosome, and only three percent of
its ancestral genes survived. We reconstructed the evolution of the Y chromosome across
eight mammals to identify biases in gene content and the selective pressures that
preserved the surviving ancestral genes. Our findings indicate that survival was
non-random, and in two cases, convergent across placental and marsupial mammals. We
conclude that the Y chromosome's gene content became specialized through selection
to maintain the ancestral dosage of homologous X-Y gene pairs that function as broadly
expressed regulators of transcription, translation and protein stability. We propose that
beyond its roles in testis determination and spermatogenesis, the Y chromosome is
essential for male viability, and plays unappreciated roles in Turner syndrome and in
phenotypic differences between the sexes in health and disease.
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Affiliation(s)
- Daniel W Bellott
- Whitehead Institute, Howard Hughes Medical Institute, & Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Jennifer F Hughes
- Whitehead Institute, Howard Hughes Medical Institute, & Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Helen Skaletsky
- Whitehead Institute, Howard Hughes Medical Institute, & Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Laura G Brown
- Whitehead Institute, Howard Hughes Medical Institute, & Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Tatyana Pyntikova
- Whitehead Institute, Howard Hughes Medical Institute, & Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Ting-Jan Cho
- Whitehead Institute, Howard Hughes Medical Institute, & Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Natalia Koutseva
- Whitehead Institute, Howard Hughes Medical Institute, & Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Sara Zaghlul
- Whitehead Institute, Howard Hughes Medical Institute, & Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Tina Graves
- The Genome Institute, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Susie Rock
- The Genome Institute, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Colin Kremitzki
- The Genome Institute, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Robert S Fulton
- The Genome Institute, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Shannon Dugan
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Yan Ding
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Donna Morton
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Ziad Khan
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Lora Lewis
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Christian Buhay
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Qiaoyan Wang
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Jennifer Watt
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Michael Holder
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Sandy Lee
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Lynne Nazareth
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Jessica Alföldi
- Whitehead Institute, Howard Hughes Medical Institute, & Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Steve Rozen
- Whitehead Institute, Howard Hughes Medical Institute, & Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
| | - Donna M Muzny
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Wesley C Warren
- The Genome Institute, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - Richard A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA
| | - Richard K Wilson
- The Genome Institute, Washington University School of Medicine, St. Louis, Missouri 63108, USA
| | - David C Page
- Whitehead Institute, Howard Hughes Medical Institute, & Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
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Shoshani E, Rozen S, Doekes J. Effect of a short dry period on milk yield and content, colostrum quality, fertility, and metabolic status of Holstein cows. J Dairy Sci 2014; 97:2909-22. [DOI: 10.3168/jds.2013-7733] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2013] [Accepted: 02/05/2014] [Indexed: 01/08/2023]
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Brett M, McPherson J, Zang ZJ, Lai A, Tan ES, Ng I, Ong LC, Cham B, Tan P, Rozen S, Tan EC. Massively parallel sequencing of patients with intellectual disability, congenital anomalies and/or autism spectrum disorders with a targeted gene panel. PLoS One 2014; 9:e93409. [PMID: 24690944 PMCID: PMC3972136 DOI: 10.1371/journal.pone.0093409] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [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: 09/26/2013] [Accepted: 03/04/2014] [Indexed: 12/27/2022] Open
Abstract
Developmental delay and/or intellectual disability (DD/ID) affects 1–3% of all children. At least half of these are thought to have a genetic etiology. Recent studies have shown that massively parallel sequencing (MPS) using a targeted gene panel is particularly suited for diagnostic testing for genetically heterogeneous conditions. We report on our experiences with using massively parallel sequencing of a targeted gene panel of 355 genes for investigating the genetic etiology of eight patients with a wide range of phenotypes including DD/ID, congenital anomalies and/or autism spectrum disorder. Targeted sequence enrichment was performed using the Agilent SureSelect Target Enrichment Kit and sequenced on the Illumina HiSeq2000 using paired-end reads. For all eight patients, 81–84% of the targeted regions achieved read depths of at least 20×, with average read depths overlapping targets ranging from 322× to 798×. Causative variants were successfully identified in two of the eight patients: a nonsense mutation in the ATRX gene and a canonical splice site mutation in the L1CAM gene. In a third patient, a canonical splice site variant in the USP9X gene could likely explain all or some of her clinical phenotypes. These results confirm the value of targeted MPS for investigating DD/ID in children for diagnostic purposes. However, targeted gene MPS was less likely to provide a genetic diagnosis for children whose phenotype includes autism.
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Affiliation(s)
- Maggie Brett
- KK Research Centre, KK Women's & Children's Hospital, Singapore, Singapore
| | | | | | - Angeline Lai
- Genetic Services, KK Women's & Children's Hospital, Singapore, Singapore
| | - Ee-Shien Tan
- Genetic Services, KK Women's & Children's Hospital, Singapore, Singapore
| | - Ivy Ng
- Genetic Services, KK Women's & Children's Hospital, Singapore, Singapore
| | - Lai-Choo Ong
- Universiti Malaya Medical Centre, Petaling Jaya, Malaysia
| | - Breana Cham
- Genetic Services, KK Women's & Children's Hospital, Singapore, Singapore
| | - Patrick Tan
- Duke-NUS Graduate Medical School, Singapore, Singapore
- National Cancer Centre, Singapore, Singapore
| | - Steve Rozen
- Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Ene-Choo Tan
- KK Research Centre, KK Women's & Children's Hospital, Singapore, Singapore
- * E-mail:
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Shahak I, Rozen S, Bergmann ED. Organic Fluorine Compounds. Part XLII. The Reaction of Amides of α-Bromoacids with Potassium Fluoride. Isr J Chem 2013. [DOI: 10.1002/ijch.197000096] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Tran-Viet KN, Powell C, Barathi V, Klemm T, Maurer-Stroh S, Limviphuvadh V, Soler V, Ho C, Yanovitch T, Schneider G, Li YJ, Nading E, Metlapally R, Saw SM, Goh L, Rozen S, Young T. Mutations in SCO2 are associated with autosomal-dominant high-grade myopia. Am J Hum Genet 2013; 92:820-6. [PMID: 23643385 DOI: 10.1016/j.ajhg.2013.04.005] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2012] [Revised: 02/21/2013] [Accepted: 04/08/2013] [Indexed: 12/31/2022] Open
Abstract
Myopia, or near-sightedness, is an ocular refractive error of unfocused image quality in front of the retinal plane. Individuals with high-grade myopia (dioptric power greater than -6.00) are predisposed to ocular morbidities such as glaucoma, retinal detachment, and myopic maculopathy. Nonsyndromic, high-grade myopia is highly heritable, and to date multiple gene loci have been reported. We performed exome sequencing in 4 individuals from an 11-member family of European descent from the United States. Affected individuals had a mean dioptric spherical equivalent of -22.00 sphere. A premature stop codon mutation c.157C>T (p.Gln53*) cosegregating with disease was discovered within SCO2 that maps to chromosome 22q13.33. Subsequent analyses identified three additional mutations in three highly myopic unrelated individuals (c.341G>A, c.418G>A, and c.776C>T). To determine differential gene expression in a developmental mouse model, we induced myopia by applying a -15.00D lens over one eye. Messenger RNA levels of SCO2 were significantly downregulated in myopic mouse retinae. Immunohistochemistry in mouse eyes confirmed SCO2 protein localization in retina, retinal pigment epithelium, and sclera. SCO2 encodes for a copper homeostasis protein influential in mitochondrial cytochrome c oxidase activity. Copper deficiencies have been linked with photoreceptor loss and myopia with increased scleral wall elasticity. Retinal thinning has been reported with an SC02 variant. Human mutation identification with support from an induced myopic animal provides biological insights of myopic development.
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Tang YC, McPherson J, Tan E, Goh G, Bard F, Rozen S. Abstract A23: Genome-wide discovery of synthetic lethal interactions in PTEN-deficient human mammary epithelial cells. Mol Cancer Ther 2013. [DOI: 10.1158/1535-7163.pms-a23] [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
PTEN is one of the most frequently dysregulated tumor suppressor genes in human cancers, and PTEN deficiency is common in breast tumors, particularly those that belong to the aggressive basal-like breast cancer (BLBC) subtype. Because the BLBC subtype is itself very heterogeneous and basal-like tumors lack expression of cancer drug targets like HER2, there is currently no targeted therapy available for effective treatment. To systematically and comprehensively explore potential vulnerabilities in PTEN-deficient BLBC, we sought to discover genes that are synthetic lethal to PTEN loss using a functional genomics approach. We carried out a synthetic lethal siRNA screen in a pair of isogenic cell lines: an untransformed, non-tumorigenic human mammary epithelial cell line with molecular characteristics that closely mimic BLBCs (MCF10A), and a derivative cell line that harbored a targeted deletion of exon 2 in the PTEN gene (MCF10A-PTEN-/-). For greater sensitivity in detecting synthetic lethal effects, we used a high content screening system to determine total cell numbers by direct counting of stained cell nuclei after siRNA knock-down. Through the discovery of synthetic lethal interactions in these PTEN-deficient cell lines, we aim to identify novel components of the PTEN signaling network and uncover vulnerabilities in PTEN-deficient tumors. We first completed a pilot screen of kinase and phosphatase genes and identified synthetic lethal hits which were subsequently confirmed using multiple siRNA sequences for each gene. Our top candidate synthetic lethal genes were not directly involved in the PI3K-Akt signaling pathway, consistent with studies showing that therapeutic targeting of the PI3K pathway in PTEN-deficient cancers is not always effective. Using the strongest hit from the pilot screen as a positive synthetic lethal control, we further completed a whole-genome screen in the same pair of isogenic cell lines. We are currently validating the top candidate synthetic lethal genes and will explore if these putative synthetic lethal interactions are present in other PTEN-deficient breast cancer cell lines belonging to the BLBC subtype.
Citation Format: Yew Chung Tang, John McPherson, Elisabeth Tan, Germaine Goh, Frederic Bard, Steve Rozen. Genome-wide discovery of synthetic lethal interactions in PTEN-deficient human mammary epithelial cells. [abstract]. In: Proceedings of the AACR Precision Medicine Series: Synthetic Lethal Approaches to Cancer Vulnerabilities; May 17-20, 2013; Bellevue, WA. Philadelphia (PA): AACR; Mol Cancer Ther 2013;12(5 Suppl):Abstract nr A23.
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Affiliation(s)
- Yew Chung Tang
- 1Duke-NUS Graduate Medical School, Singapore, Singapore,
| | - John McPherson
- 1Duke-NUS Graduate Medical School, Singapore, Singapore,
| | - Elisabeth Tan
- 1Duke-NUS Graduate Medical School, Singapore, Singapore,
| | - Germaine Goh
- 2Institute of Molecular and Cellular Biology, Singapore, Singapore
| | - Frederic Bard
- 2Institute of Molecular and Cellular Biology, Singapore, Singapore
| | - Steve Rozen
- 1Duke-NUS Graduate Medical School, Singapore, Singapore,
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Zouridis H, Deng N, Ivanova T, Zhu Y, Wong B, Huang D, Wu YH, Wu Y, Tan IB, Liem N, Gopalakrishnan V, Luo Q, Wu J, Lee M, Yong WP, Goh LK, Teh BT, Rozen S, Tan P. Methylation subtypes and large-scale epigenetic alterations in gastric cancer. Sci Transl Med 2013; 4:156ra140. [PMID: 23076357 DOI: 10.1126/scitranslmed.3004504] [Citation(s) in RCA: 140] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Epigenetic alterations are fundamental hallmarks of cancer genomes. We surveyed the landscape of DNA methylation alterations in gastric cancer by analyzing genome-wide CG dinucleotide (CpG) methylation profiles of 240 gastric cancers (203 tumors and 37 cell lines) and 94 matched normal gastric tissues. Cancer-specific epigenetic alterations were observed in 44% of CpGs, comprising both tumor hyper- and hypomethylation. Twenty-five percent of the methylation alterations were significantly associated with changes in tumor gene expression. Whereas most methylation-expression correlations were negative, several positively correlated methylation-expression interactions were also observed, associated with CpG sites exhibiting atypical transcription start site distances and gene body localization. Methylation clustering of the tumors revealed a CpG island methylator phenotype (CIMP) subgroup associated with widespread hypermethylation, young patient age, and adverse patient outcome in a disease stage-independent manner. CIMP cell lines displayed sensitivity to 5-aza-2'-deoxycytidine, a clinically approved demethylating drug. We also identified long-range regions of epigenetic silencing (LRESs) in CIMP tumors. Combined analysis of the methylation, gene expression, and drug treatment data suggests that certain LRESs may silence specific genes within the region, rather than all genes. Finally, we discovered regions of long-range tumor hypomethylation, associated with increased chromosomal instability. Our results provide insights into the epigenetic impact of environmental and biological agents on gastric epithelial cells, which may contribute to cancer.
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Affiliation(s)
- Hermioni Zouridis
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore 169857, Singapore
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Sessions OM, Tan Y, Goh KC, Liu Y, Tan P, Rozen S, Ooi EE. Host cell transcriptome profile during wild-type and attenuated dengue virus infection. PLoS Negl Trop Dis 2013; 7:e2107. [PMID: 23516652 PMCID: PMC3597485 DOI: 10.1371/journal.pntd.0002107] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.3] [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: 08/22/2012] [Accepted: 01/28/2013] [Indexed: 01/22/2023] Open
Abstract
Dengue viruses 1-4 (DENV1-4) rely heavily on the host cell machinery to complete their life cycle, while at the same time evade the host response that could restrict their replication efficiency. These requirements may account for much of the broad gene-level changes to the host transcriptome upon DENV infection. However, host gene function is also regulated through transcriptional start site (TSS) selection and post-transcriptional modification to the RNA that give rise to multiple gene isoforms. The roles these processes play in the host response to dengue infection have not been explored. In the present study, we utilized RNA sequencing (RNAseq) to identify novel transcript variations in response to infection with both a pathogenic strain of DENV1 and its attenuated derivative. RNAseq provides the information necessary to distinguish the various isoforms produced from a single gene and their splice variants. Our data indicate that there is an extensive amount of previously uncharacterized TSS and post-transcriptional modifications to host RNA over a wide range of pathways and host functions in response to DENV infection. Many of the differentially expressed genes identified in this study have previously been shown to be required for flavivirus propagation and/or interact with DENV gene products. We also show here that the human transcriptome response to an infection by wild-type DENV or its attenuated derivative differs significantly. This differential response to wild-type and attenuated DENV infection suggests that alternative processing events may be part of a previously uncharacterized innate immune response to viral infection that is in large part evaded by wild-type DENV.
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Affiliation(s)
- October M. Sessions
- Program in Emerging Infectious Disease, Duke-NUS Graduate Medical School, Singapore
| | - Ying Tan
- Program in Emerging Infectious Disease, Duke-NUS Graduate Medical School, Singapore
| | - Kenneth C. Goh
- Program in Emerging Infectious Disease, Duke-NUS Graduate Medical School, Singapore
| | - Yujing Liu
- Centre for Computational Biology, Duke-NUS Graduate Medical School, Singapore
- Computational Systems Biology, Singapore-MIT Alliance, National University of Singapore, Singapore
| | - Patrick Tan
- Program in Cancer and Stem Cell Biology, Duke-NUS Graduate Medical School, Singapore
| | - Steve Rozen
- Centre for Computational Biology, Duke-NUS Graduate Medical School, Singapore
| | - Eng Eong Ooi
- Program in Emerging Infectious Disease, Duke-NUS Graduate Medical School, Singapore
- * E-mail:
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Lim SH, Tran-Viet KN, Yanovitch TL, Freedman SF, Klemm T, Call W, Powell C, Ravichandran A, Metlapally R, Nading EB, Rozen S, Young TL. CYP1B1, MYOC, and LTBP2 mutations in primary congenital glaucoma patients in the United States. Am J Ophthalmol 2013; 155:508-517.e5. [PMID: 23218701 DOI: 10.1016/j.ajo.2012.09.012] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2012] [Revised: 09/11/2012] [Accepted: 09/12/2012] [Indexed: 01/07/2023]
Abstract
PURPOSE To screen primary congenital glaucoma patients in the United States for sequence variants within the CYP1B1, LTBP2, and MYOC genes using Sanger and whole exome sequencing. DESIGN Retrospective case-control study. METHODS Fifty-seven primary congenital glaucoma patients (47 families), 71 unaffected family members of the primary congenital glaucoma probands, and 101 healthy unrelated individuals were recruited from a single institution. Sanger sequencing of the primary congenital glaucoma gene, CYP1B1, was performed on 47 proband deoxyribonucleic acid samples. Simultaneously, whole exome sequencing was conducted on 3 families, each including more than 1 affected individual. Concurrently, 33 of 47 primary congenital glaucoma probands with extended family deoxyribonucleic acid samples were screened for LTBP2 and MYOC gene mutations. Exome-sequenced variations were validated by additional Sanger sequencing to confirm segregation of filtered disease-causing single nucleotide variations. RESULTS Seven primary congenital glaucoma families (14.9%) manifested disease phenotypes attributable to CYP1B1 mutations. One primary congenital glaucoma family possessed homozygous mutant alleles, whereas 6 families carried compound heterozygous mutations. Five novel combinations of compound heterozygous mutations were identified, of which 2 combinations were found with whole exome sequencing. No disease-causing mutations within the LTBP2 and MYOC genes were discovered. CONCLUSIONS This study analyzed CYP1B1, LTBP2, and MYOC mutations in a cohort of primary congenital glaucoma patients from the United States, applying whole exome sequencing as a complementary tool to Sanger sequencing. Whole exome sequencing, coupled with Sanger sequencing, may identify novel genes in primary congenital glaucoma patients who have no mutations in known primary congenital glaucoma genes.
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Abstract
In mammals, the Y chromosome plays the pivotal role in male sex determination and is essential for normal sperm production. Yet only three Y chromosomes have been completely sequenced to date--those of human, chimpanzee, and rhesus macaque. While Y chromosomes are notoriously difficult to sequence owing to their highly repetitive genomic landscapes, these dedicated sequencing efforts have generated tremendous yields in medical, biological, and evolutionary insight. Knowledge of the complex structural organization of the human Y chromosome and a complete catalog of its gene content have provided a deeper understanding of the mechanisms that generate disease-causing mutations and large-scale rearrangements. Variation among human Y-chromosome sequences has been an invaluable tool for understanding relationships among human populations. Comprehensive comparisons of the human Y-chromosome sequence with those of other primates have illuminated aspects of Y-chromosome evolutionary dynamics over much longer timescales (>25 million years compared with 100,000 years). The future sequencing of additional Y chromosomes will provide a basis for a more comprehensive understanding of the evolution of Y chromosomes and their roles in reproductive biology.
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Affiliation(s)
- Jennifer F Hughes
- Howard Hughes Medical Institute, Whitehead Institute, and Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
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Thiem S, Pierce TP, Palmieri M, Putoczki TL, Buchert M, Preaudet A, Farid RO, Love C, Catimel B, Lei Z, Rozen S, Gopalakrishnan V, Schaper F, Hallek M, Boussioutas A, Tan P, Jarnicki A, Ernst M. mTORC1 inhibition restricts inflammation-associated gastrointestinal tumorigenesis in mice. J Clin Invest 2013; 123:767-81. [PMID: 23321674 DOI: 10.1172/jci65086] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2012] [Accepted: 11/27/2012] [Indexed: 12/13/2022] Open
Abstract
Gastrointestinal cancers are frequently associated with chronic inflammation and excessive secretion of IL-6 family cytokines, which promote tumorigenesis through persistent activation of the GP130/JAK/STAT3 pathway. Although tumor progression can be prevented by genetic ablation of Stat3 in mice, this transcription factor remains a challenging therapeutic target with a paucity of clinically approved inhibitors. Here, we uncovered parallel and excessive activation of mTOR complex 1 (mTORC1) alongside STAT3 in human intestinal-type gastric cancers (IGCs). Furthermore, in a preclinical mouse model of IGC, GP130 ligand administration simultaneously activated mTORC1/S6 kinase and STAT3 signaling. We therefore investigated whether mTORC1 activation was required for inflammation-associated gastrointestinal tumorigenesis. Strikingly, the mTORC1-specific inhibitor RAD001 potently suppressed initiation and progression of both murine IGC and colitis-associated colon cancer. The therapeutic effect of RAD001 was associated with reduced tumor vascularization and cell proliferation but occurred independently of STAT3 activity. We analyzed the mechanism of GP130-mediated mTORC1 activation in cells and mice and revealed a requirement for JAK and PI3K activity but not for GP130 tyrosine phosphorylation or STAT3. Our results suggest that GP130-dependent activation of the druggable PI3K/mTORC1 pathway is required for inflammation-associated gastrointestinal tumorigenesis. These findings advocate clinical application of PI3K/mTORC1 inhibitors for the treatment of corresponding human malignancies.
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Affiliation(s)
- Stefan Thiem
- Ludwig Institute for Cancer Research, Melbourne-Parkville Branch, Parkville, Victoria, Australia
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Ye J, Coulouris G, Zaretskaya I, Cutcutache I, Rozen S, Madden TL. Primer-BLAST: a tool to design target-specific primers for polymerase chain reaction. BMC Bioinformatics 2012; 13:134. [PMID: 22708584 PMCID: PMC3412702 DOI: 10.1186/1471-2105-13-134] [Citation(s) in RCA: 3431] [Impact Index Per Article: 285.9] [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: 01/10/2012] [Accepted: 06/18/2012] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Choosing appropriate primers is probably the single most important factor affecting the polymerase chain reaction (PCR). Specific amplification of the intended target requires that primers do not have matches to other targets in certain orientations and within certain distances that allow undesired amplification. The process of designing specific primers typically involves two stages. First, the primers flanking regions of interest are generated either manually or using software tools; then they are searched against an appropriate nucleotide sequence database using tools such as BLAST to examine the potential targets. However, the latter is not an easy process as one needs to examine many details between primers and targets, such as the number and the positions of matched bases, the primer orientations and distance between forward and reverse primers. The complexity of such analysis usually makes this a time-consuming and very difficult task for users, especially when the primers have a large number of hits. Furthermore, although the BLAST program has been widely used for primer target detection, it is in fact not an ideal tool for this purpose as BLAST is a local alignment algorithm and does not necessarily return complete match information over the entire primer range. RESULTS We present a new software tool called Primer-BLAST to alleviate the difficulty in designing target-specific primers. This tool combines BLAST with a global alignment algorithm to ensure a full primer-target alignment and is sensitive enough to detect targets that have a significant number of mismatches to primers. Primer-BLAST allows users to design new target-specific primers in one step as well as to check the specificity of pre-existing primers. Primer-BLAST also supports placing primers based on exon/intron locations and excluding single nucleotide polymorphism (SNP) sites in primers. CONCLUSIONS We describe a robust and fully implemented general purpose primer design tool that designs target-specific PCR primers. Primer-BLAST offers flexible options to adjust the specificity threshold and other primer properties. This tool is publicly available at http://www.ncbi.nlm.nih.gov/tools/primer-blast.
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Affiliation(s)
- Jian Ye
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD 20894, USA.
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Koo GC, Tan SY, Tang T, Poon SL, Allen GE, Tan L, Chong SC, Ong WS, Tay K, Tao M, Quek R, Loong S, Yeoh KW, Yap SP, Lee KA, Lim LC, Tan D, Goh C, Cutcutache I, Yu W, Ng CCY, Rajasegaran V, Heng HL, Gan A, Ong CK, Rozen S, Tan P, Teh BT, Lim ST. Janus kinase 3-activating mutations identified in natural killer/T-cell lymphoma. Cancer Discov 2012; 2:591-7. [PMID: 22705984 DOI: 10.1158/2159-8290.cd-12-0028] [Citation(s) in RCA: 202] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
UNLABELLED The molecular pathogenesis of natural killer/T-cell lymphoma (NKTCL) is not well understood. We conducted whole-exome sequencing and identified Janus kinase 3 (JAK3) somatic-activating mutations (A572V and A573V) in 2 of 4 patients with NKTCLs. Further validation of the prevalence of JAK3 mutations was determined by Sanger sequencing and high-resolution melt (HRM) analysis in an additional 61 cases. In total, 23 of 65 (35.4%) cases harbored JAK3 mutations. Functional characterization of the JAK3 mutations support its involvement in cytokine-independent JAK/STAT constitutive activation leading to increased cell growth. Moreover, treatment of both JAK3-mutant and wild-type NKTCL cell lines with a novel pan-JAK inhibitor, CP-690550, resulted in dose-dependent reduction of phosphorylated STAT5, reduced cell viability, and increased apoptosis. Hence, targeting the deregulated JAK/STAT pathway could be a promising therapy for patients with NKTCLs. SIGNIFICANCE Gene mutations causing NKTCL have not been fully identified. Through exome sequencing, we identified activating mutations of JAK3 that may play a significant role in the pathogenesis of NKTCLs. Our findings have important implications for the management of patients with NKTCLs.
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Affiliation(s)
- Ghee Chong Koo
- NCCS-VARI Translational Research Laboratory, Department of Medical Sciences, National Cancer Centre Singapore, Singapore
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Cheng LL, Itahana Y, Lei ZD, Chia NY, Wu Y, Yu Y, Zhang SL, Thike AA, Pandey A, Rozen S, Voorhoeve PM, Yu Q, Tan PH, Bay BH, Itahana K, Tan P. TP53 genomic status regulates sensitivity of gastric cancer cells to the histone methylation inhibitor 3-deazaneplanocin A (DZNep). Clin Cancer Res 2012; 18:4201-12. [PMID: 22675170 DOI: 10.1158/1078-0432.ccr-12-0036] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE DZNep (3-deazaneplanocin A) depletes EZH2, a critical component of polycomb repressive complex 2 (PRC2), which is frequently deregulated in cancer. Despite exhibiting promising anticancer activity, the specific genetic determinants underlying DZNep responsiveness in cancer cells remain largely unknown. We sought to determine molecular factors influencing DZNep response in gastric cancer. EXPERIMENTAL DESIGN Phenotypic effects of DZNep were evaluated in a panel of gastric cancer cell lines. Sensitive lines were molecularly interrogated to identify potential predictors of DZNep responsiveness. The functional importance of candidate predictors was evaluated using short hairpin RNA (shRNA) and siRNA technologies. RESULTS DZNep depleted PRC2 pathway components in almost all gastric cancer lines, however, only a subset of lines exhibited growth inhibition upon treatment. TP53 genomic status was significantly associated with DZNep cellular responsiveness, with TP53 wild-type (WT) lines being more sensitive (P < 0.001). In TP53-WT lines, DZNep stabilized p53 by reducing ubiquitin conjugation through USP10 upregulation, resulting in activation of canonical p53 target genes. TP53 knockdown in TP53-WT lines attenuated DZNep sensitivity and p53 target activation, showing the functional importance of an intact p53 pathway in regulating DZNep cellular sensitivity. In primary human gastric cancers, EZH2 expression was negatively correlated with p53 pathway activation, suggesting that higher levels of EZH2 may repress p53 activity. CONCLUSION Our results highlight an important role for TP53 genomic status in influencing DZNep response in gastric cancer. Clinical trials evaluating EZH2-targeting agents such as DZNep should consider stratifying patients with gastric cancer by their TP53 genomic status.
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Affiliation(s)
- Lai Ling Cheng
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, Singapore
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Ong CK, Subimerb C, Pairojkul C, Wongkham S, Cutcutache I, Yu W, McPherson JR, Allen GE, Ng CCY, Wong BH, Myint SS, Rajasegaran V, Heng HL, Gan A, Zang ZJ, Wu Y, Wu J, Lee MH, Huang D, Ong P, Chan-on W, Cao Y, Qian CN, Lim KH, Ooi A, Dykema K, Furge K, Kukongviriyapan V, Sripa B, Wongkham C, Yongvanit P, Futreal PA, Bhudhisawasdi V, Rozen S, Tan P, Teh BT. Exome sequencing of liver fluke-associated cholangiocarcinoma. Nat Genet 2012; 44:690-3. [PMID: 22561520 DOI: 10.1038/ng.2273] [Citation(s) in RCA: 370] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2011] [Accepted: 04/11/2012] [Indexed: 12/14/2022]
Abstract
Opisthorchis viverrini-related cholangiocarcinoma (CCA), a fatal bile duct cancer, is a major public health concern in areas endemic for this parasite. We report here whole-exome sequencing of eight O. viverrini-related tumors and matched normal tissue. We identified and validated 206 somatic mutations in 187 genes using Sanger sequencing and selected 15 genes for mutation prevalence screening in an additional 46 individuals with CCA (cases). In addition to the known cancer-related genes TP53 (mutated in 44.4% of cases), KRAS (16.7%) and SMAD4 (16.7%), we identified somatic mutations in 10 newly implicated genes in 14.8-3.7% of cases. These included inactivating mutations in MLL3 (in 14.8% of cases), ROBO2 (9.3%), RNF43 (9.3%) and PEG3 (5.6%), and activating mutations in the GNAS oncogene (9.3%). These genes have functions that can be broadly grouped into three biological classes: (i) deactivation of histone modifiers, (ii) activation of G protein signaling and (iii) loss of genome stability. This study provides insight into the mutational landscape contributing to O. viverrini-related CCA.
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Affiliation(s)
- Choon Kiat Ong
- National Cancer Centre Singapore-Van Andel Research Institute Translational Research Laboratory, Division of Medical Sciences, Singapore
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Deng N, Goh LK, Wang H, Das K, Tao J, Tan IB, Zhang S, Lee M, Wu J, Lim KH, Lei Z, Goh G, Lim QY, Tan ALK, Sin Poh DY, Riahi S, Bell S, Shi MM, Linnartz R, Zhu F, Yeoh KG, Toh HC, Yong WP, Cheong HC, Rha SY, Boussioutas A, Grabsch H, Rozen S, Tan P. A comprehensive survey of genomic alterations in gastric cancer reveals systematic patterns of molecular exclusivity and co-occurrence among distinct therapeutic targets. Gut 2012; 61:673-84. [PMID: 22315472 PMCID: PMC3322587 DOI: 10.1136/gutjnl-2011-301839] [Citation(s) in RCA: 499] [Impact Index Per Article: 41.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Gastric cancer is a major gastrointestinal malignancy for which targeted therapies are emerging as treatment options. This study sought to identify the most prevalent molecular targets in gastric cancer and to elucidate systematic patterns of exclusivity and co-occurrence among these targets, through comprehensive genomic analysis of a large panel of gastric cancers. DESIGN Using high-resolution single nucleotide polymorphism arrays, copy number alterations were profiled in a panel of 233 gastric cancers (193 primary tumours, 40 cell lines) and 98 primary matched gastric non-malignant samples. For selected alterations, their impact on gene expression and clinical outcome were evaluated. RESULTS 22 recurrent focal alterations (13 amplifications and nine deletions) were identified. These included both known targets (FGFR2, ERBB2) and also novel genes in gastric cancer (KLF5, GATA6). Receptor tyrosine kinase (RTK)/RAS alterations were found to be frequent in gastric cancer. This study also demonstrates, for the first time, that these alterations occur in a mutually exclusive fashion, with KRAS gene amplifications highlighting a clinically relevant but previously underappreciated gastric cancer subgroup. FGFR2-amplified gastric cancers were also shown to be sensitive to dovitinib, an orally bioavailable FGFR/VEGFR targeting agent, potentially representing a subtype-specific therapy for FGFR2-amplified gastric cancers. CONCLUSION The study demonstrates the existence of five distinct gastric cancer patient subgroups, defined by the signature genomic alterations FGFR2 (9% of tumours), KRAS (9%), EGFR (8%), ERBB2 (7%) and MET (4%). Collectively, these subgroups suggest that at least 37% of gastric cancer patients may be potentially treatable by RTK/RAS directed therapies.
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Affiliation(s)
- Niantao Deng
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, 8 College Road, Singapore 169857, Singapore.
| | - Liang Kee Goh
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, Singapore,Saw Swee Hock School of Public Health, National University of Singapore, Singapore,Division of Medical Oncology, National Cancer Centre, Singapore
| | - Hannah Wang
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, Singapore
| | - Kakoli Das
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, Singapore
| | - Jiong Tao
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, Singapore,Department of Physiology, National University of Singapore, Singapore
| | - Iain Beehuat Tan
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, Singapore,NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore,Division of Medical Oncology, National Cancer Centre, Singapore
| | - Shenli Zhang
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, Singapore
| | - Minghui Lee
- Cellular and Molecular Research, National Cancer Centre, Singapore
| | - Jeanie Wu
- Cellular and Molecular Research, National Cancer Centre, Singapore
| | - Kiat Hon Lim
- Department of Pathology, Singapore General Hospital, Singapore
| | - Zhengdeng Lei
- Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School, Singapore
| | - Glenn Goh
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, Singapore
| | - Qing-Yan Lim
- School of Biological Sciences, Nanyang Technological University, Singapore
| | - Angie Lay-Keng Tan
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, Singapore
| | - Dianne Yu Sin Poh
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, Singapore
| | - Sudep Riahi
- Section of Ophthalmology and Neuroscience, Leeds Institute for Molecular Medicine, Leeds, UK
| | - Sandra Bell
- Section of Ophthalmology and Neuroscience, Leeds Institute for Molecular Medicine, Leeds, UK
| | | | | | - Feng Zhu
- Department of Medicine, National University Health System, Singapore
| | - Khay Guan Yeoh
- Department of Medicine, National University Health System, Singapore
| | - Han Chong Toh
- Division of Medical Oncology, National Cancer Centre, Singapore
| | - Wei Peng Yong
- National Cancer Institute Singapore, National University Health System, Singapore
| | - Hyun Cheol Cheong
- Department of Internal Medicine, Yonsei Cancer Centre, Yonsei, South Korea
| | - Sun Young Rha
- Department of Internal Medicine, Yonsei Cancer Centre, Yonsei, South Korea
| | - Alex Boussioutas
- Cancer Genomics and Biochemistry Laboratory, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Heike Grabsch
- Department of Pathology and Tumour Biology, Leeds Institute for Molecular Medicine, Leeds, UK
| | - Steve Rozen
- Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School, Singapore
| | - Patrick Tan
- Cancer and Stem Cell Biology Program, Duke-NUS Graduate Medical School, Singapore,Cellular and Molecular Research, National Cancer Centre, Singapore,Cancer Science Institute of Singapore, National University of Singapore, Singapore,Genome Institute of Singapore, Singapore
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48
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Zang ZJ, Cutcutache I, Poon SL, Zhang SL, McPherson JR, Tao J, Rajasegaran V, Heng HL, Deng N, Gan A, Lim KH, Ong CK, Huang D, Chin SY, Tan IB, Ng CCY, Yu W, Wu Y, Lee M, Wu J, Poh D, Wan WK, Rha SY, So J, Salto-Tellez M, Yeoh KG, Wong WK, Zhu YJ, Futreal PA, Pang B, Ruan Y, Hillmer AM, Bertrand D, Nagarajan N, Rozen S, Teh BT, Tan P. Exome sequencing of gastric adenocarcinoma identifies recurrent somatic mutations in cell adhesion and chromatin remodeling genes. Nat Genet 2012; 44:570-4. [DOI: 10.1038/ng.2246] [Citation(s) in RCA: 490] [Impact Index Per Article: 40.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2011] [Accepted: 03/12/2012] [Indexed: 12/12/2022]
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49
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Abstract
An estimated 10 to 15% of couples suffer from infertility, and many treatment decisions rely on trial and error. In this issue of Science Translational Medicine, Tollner and colleagues provide strong evidence from a human genetics study that a common variant in the beta defensin 126 gene, the "del" variant, can reduce male fertility substantially. In addition, they show a plausible mechanism for reduced fertility: Sperm from del/del homozygotes lack an important component of their glycoprotein coat and have difficulty penetrating a surrogate for cervical mucus. If replicated in future studies, these findings promise to guide choices about the timing and type of assisted reproduction interventions-and further hint at the possibility of treating sperm from del/del homozygotes to promote fertility.
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Affiliation(s)
- Steve Rozen
- Duke-NUS Graduate Medical School Singapore, 8 College Road, 169857 Singapore.
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50
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Yu W, Chan-On W, Teo M, Ong CK, Cutcutache I, Allen GE, Wong B, Myint SS, Lim KH, Voorhoeve PM, Rozen S, Soo KC, Tan P, Teh BT. First somatic mutation of E2F1 in a critical DNA binding residue discovered in well-differentiated papillary mesothelioma of the peritoneum. Genome Biol 2011; 12:R96. [PMID: 21955916 PMCID: PMC3308059 DOI: 10.1186/gb-2011-12-9-r96] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [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: 03/13/2011] [Revised: 06/09/2011] [Accepted: 09/28/2011] [Indexed: 12/05/2022] Open
Abstract
Background Well differentiated papillary mesothelioma of the peritoneum (WDPMP) is a rare variant of epithelial mesothelioma of low malignancy potential, usually found in women with no history of asbestos exposure. In this study, we perform the first exome sequencing of WDPMP. Results WDPMP exome sequencing reveals the first somatic mutation of E2F1, R166H, to be identified in human cancer. The location is in the evolutionarily conserved DNA binding domain and computationally predicted to be mutated in the critical contact point between E2F1 and its DNA target. We show that the R166H mutation abrogates E2F1's DNA binding ability and is associated with reduced activation of E2F1 downstream target genes. Mutant E2F1 proteins are also observed in higher quantities when compared with wild-type E2F1 protein levels and the mutant protein's resistance to degradation was found to be the cause of its accumulation within mutant over-expressing cells. Cells over-expressing wild-type E2F1 show decreased proliferation compared to mutant over-expressing cells, but cell proliferation rates of mutant over-expressing cells were comparable to cells over-expressing the empty vector. Conclusions The R166H mutation in E2F1 is shown to have a deleterious effect on its DNA binding ability as well as increasing its stability and subsequent accumulation in R166H mutant cells. Based on the results, two compatible theories can be formed: R166H mutation appears to allow for protein over-expression while minimizing the apoptotic consequence and the R166H mutation may behave similarly to SV40 large T antigen, inhibiting tumor suppressive functions of retinoblastoma protein 1.
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Affiliation(s)
- Willie Yu
- NCCS-VARI Translational Research Laboratory, National Cancer Centre Singapore, 11 Hospital Drive, 169610, Singapore
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