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Qin L, Qiu M, Lin Q, Jiang B, Zhan S, Wei X, Wei J, Liu Y, Wen Q, Chen P, Jiang Y, Zhou Z, Liang X, Cao J, Gong Y, Wei Y, Wei X, Yu H. Association between novel genetic variants of Notch signaling pathway genes and survival of hepatitis B virus-related hepatocellular carcinoma. Cancer Med 2024; 13:e7040. [PMID: 38562021 PMCID: PMC10985410 DOI: 10.1002/cam4.7040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 10/22/2023] [Accepted: 02/08/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Although the Notch pathway plays an important role in formation and progression of hepatocellular carcinoma (HCC), few studies have reported the associations between functional genetic variants and the survival of hepatitis B virus (HBV)-related HCC. METHODS In the present study, we performed multivariable Cox proportional hazard regression analysis to evaluate associations between 36,101 SNPs in 264 Notch pathway-related genes and overall survival (OS) of 866 patients with HBV-related HCC. RESULTS It was found that three independent SNPs (NEURL1B rs4868192, CNTN1 rs444927 and FCER2 rs1990975) were significantly associated with the HBV-related HCC OS. The number of protective genotypes (NPGs) were significantly associated with better survival in a dose-response manner (ptrend <0.001). Compared with the model with sole clinical factors, the addition of protective genotypes to the predict models significantly increased the AUC, i.e., from 72.72% to 75.13% (p = 0.002) and from 72.04% to 74.76 (p = 0.004) for 3-year and 5-year OS, respectively. The expression quantitative trait loci (eQTL) analysis further revealed that the rs4868192 C allele was associated with lower mRNA expression levels of NEURL1B in the whole blood (p = 1.71 × 10-3), while the rs1990975 T allele was correlated with higher mRNA expression levels of FCER2 in the whole blood and normal liver tissues (p = 3.51 × 10-5 and 0.033, respectively). CONCLUSIONS Three potentially functional SNPs of NEURL1B, CNTN1 and FCER2 may serve as potential prognostic biomarkers for HBV-related HCC.
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Affiliation(s)
- Liming Qin
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Moqin Qiu
- Department of Respiratory OncologyGuangxi Medical University Cancer HospitalNanningChina
| | - Qiuling Lin
- Department of Clinical ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Binbin Jiang
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Shicheng Zhan
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Xueyan Wei
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Junjie Wei
- Department of Epidemiology and Health Statistics, School of Public HealthGuangxi Medical UniversityNanningChina
| | - Yingchun Liu
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Qiuping Wen
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Peiqin Chen
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Yanji Jiang
- Department of Scientific ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Zihan Zhou
- Department of Cancer Prevention and ControlGuangxi Medical University Cancer HospitalNanningChina
| | - Xiumei Liang
- Department of Disease Process ManagementGuangxi Medical University Cancer HospitalNanningChina
| | - Ji Cao
- Department of Cancer Prevention and ControlGuangxi Medical University Cancer HospitalNanningChina
| | - Yizhen Gong
- Department of Clinical ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Yuying Wei
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Xiaoxia Wei
- Department of Clinical ResearchGuangxi Medical University Cancer HospitalNanningChina
| | - Hongping Yu
- Department of Experimental ResearchGuangxi Medical University Cancer HospitalNanningChina
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor(Guangxi Medical University), Ministry of EducationNanningChina
- Key Cultivated Laboratory of Cancer Molecular Medicine of Guangxi Health CommissionGuangxi Medical University Cancer HospitalNanningChina
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Armaos A, Serra F, Núñez-Carpintero I, Seo JH, Baca SC, Gustincich S, Valencia A, Freedman ML, Cirillo D, Giambartolomei C, Tartaglia GG. The PENGUIN approach to reconstruct protein interactions at enhancer-promoter regions and its application to prostate cancer. Nat Commun 2023; 14:8084. [PMID: 38057321 PMCID: PMC10700545 DOI: 10.1038/s41467-023-43767-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 11/18/2023] [Indexed: 12/08/2023] Open
Abstract
We introduce Promoter-Enhancer-Guided Interaction Networks (PENGUIN), a method for studying protein-protein interaction (PPI) networks within enhancer-promoter interactions. PENGUIN integrates H3K27ac-HiChIP data with tissue-specific PPIs to define enhancer-promoter PPI networks (EPINs). We validated PENGUIN using cancer (LNCaP) and benign (LHSAR) prostate cell lines. Our analysis detected EPIN clusters enriched with the architectural protein CTCF, a regulator of enhancer-promoter interactions. CTCF presence was coupled with the prevalence of prostate cancer (PrCa) single nucleotide polymorphisms (SNPs) within the same EPIN clusters, suggesting functional implications in PrCa. Within the EPINs displaying enrichments in both CTCF and PrCa SNPs, we also show enrichment in oncogenes. We substantiated our identified SNPs through CRISPR/Cas9 knockout and RNAi screens experiments. Here we show that PENGUIN provides insights into the intricate interplay between enhancer-promoter interactions and PPI networks, which are crucial for identifying key genes and potential intervention targets. A dedicated server is available at https://penguin.life.bsc.es/ .
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Affiliation(s)
- Alexandros Armaos
- Istituto Italiano di Tecnologia, CHT@Erzelli, Via Enrico Melen 83, Building B, 7th floor, 16152, Genova, Italy
| | - François Serra
- Barcelona Supercomputing Center, Plaça Eusebi Güell, 1-3, 08034, Barcelona, Spain
- Josep Carreras Leukaemia Research Institute, Ctra de Can Ruti, Camí de les Escoles, 08916, Badalona, Barcelona, Spain
| | | | - Ji-Heui Seo
- Department of Medical Oncology, The Center for Functional Cancer Epigenetics, Dana Farber Cancer Institute, Boston, MA, 02215, USA
| | - Sylvan C Baca
- Department of Medical Oncology, The Center for Functional Cancer Epigenetics, Dana Farber Cancer Institute, Boston, MA, 02215, USA
| | - Stefano Gustincich
- Istituto Italiano di Tecnologia, CHT@Erzelli, Via Enrico Melen 83, Building B, 7th floor, 16152, Genova, Italy
| | - Alfonso Valencia
- Barcelona Supercomputing Center, Plaça Eusebi Güell, 1-3, 08034, Barcelona, Spain
- ICREA - Institució Catalana de Recerca I Estudis Avançats, Pg. Lluís Companys 23, 08010, Barcelona, Spain
| | - Matthew L Freedman
- Department of Medical Oncology, The Center for Functional Cancer Epigenetics, Dana Farber Cancer Institute, Boston, MA, 02215, USA
- Eli and Edythe L. Broad Institute, 415 Main St., Cambridge, MA, 02142, USA
| | - Davide Cirillo
- Barcelona Supercomputing Center, Plaça Eusebi Güell, 1-3, 08034, Barcelona, Spain.
| | - Claudia Giambartolomei
- Istituto Italiano di Tecnologia, CHT@Erzelli, Via Enrico Melen 83, Building B, 7th floor, 16152, Genova, Italy.
- Health Data Science Centre, Human Technopole, Milan, Italy.
| | - Gian Gaetano Tartaglia
- Istituto Italiano di Tecnologia, CHT@Erzelli, Via Enrico Melen 83, Building B, 7th floor, 16152, Genova, Italy.
- ICREA - Institució Catalana de Recerca I Estudis Avançats, Pg. Lluís Companys 23, 08010, Barcelona, Spain.
- Istituto Italiano di Tecnologia, CNLS@Sapienza, Viale Regina Elena, 00161, Rome, Italy.
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3
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Gao M, Li Y, Huang H, Fan Y, Shi R, Su L, Chen C, Li X, Zhu G, Wu D, Cao P, Liu H, Chen J, Kang S. Exploring the Association Between PRC2 Genes Variants and Lung Cancer Risk in Chinese Han Population. Onco Targets Ther 2023; 16:499-513. [PMID: 37425980 PMCID: PMC10328106 DOI: 10.2147/ott.s417190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 06/27/2023] [Indexed: 07/11/2023] Open
Abstract
Background Genetic susceptibilities play a large role in the pathogenesis of lung cancer (LC). The polycomb repressive complex 2 (PRC2) is a conserved chromatin-associated complex that represses gene expression and is crucial for proper organismal development and gene expression patterns. Despite PRC2 dysregulation has been observed in various human cancers, the relationship between PRC2 genes variants and lung cancer risk remains largely unexplored. Methods To investigate the association between single nucleotide polymorphisms (SNPs) in PRC2 genes and the risk of developing LC, we genotyped blood genomic DNA from 270 LC patients and 452 healthy individuals of Chinese Han ethnicity using the TaqMan™ genotyping technique. Results We found that rs17171119T>G(adjusted odds ratio (OR) = 0.662, 95% CI: 0.467-0.938, P < 0.05), rs10898459 T>C(adjusted OR = 0.615, 95% CI: 0.4-0.947, P < 0.05), and rs1136258 C>T(adjusted OR = 0.273, 95% CI: 0.186-0.401, P < 0.001) were significantly associated with a reduced risk of LC. Stratified analysis revealed a protective effect of rs17171119 in both male and female patients, specifically those with lung adenocarcinoma (LUAD). Additionally, rs1391221 showed a protective effect in both the LUAD and lung squamous cell carcinoma (LUSC) groups, while rs1136258 exhibited a protective effect in both females and males, as well as in both LUAD and LUSC groups. Furthermore, analysis of The Cancer Genome Atlas (TCGA) dataset revealed expression levels of EED and RBBP4 in both LUAD and LUSC. Conclusion This study provides evidence that allelic variants in EZH2, EED, and RBBP4 may act as protective factors against LC development and could serve as genetic markers associated with susceptibility to LC.
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Affiliation(s)
- Min Gao
- Department of Thoracic Surgery, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010010, People’s Republic of China
- Inner Mongolia Medical University, Hohhot, 010010, People’s Republic of China
| | - Yongwen Li
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Hua Huang
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China
| | - Yaguang Fan
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Ruifeng Shi
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China
| | - Lianchun Su
- Department of Thoracic Surgery, First Affiliated Hospital of Shihezi University School of Medicine, Shihezi, People’s Republic of China
| | - Chen Chen
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Xuanguang Li
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China
| | - Guangsheng Zhu
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China
| | - Di Wu
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China
| | - Peijun Cao
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China
| | - Hongyu Liu
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
| | - Jun Chen
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, People’s Republic of China
- Department of Thoracic Surgery, First Affiliated Hospital of Shihezi University School of Medicine, Shihezi, People’s Republic of China
| | - Shirong Kang
- Department of Thoracic Surgery, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010010, People’s Republic of China
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Lin Q, Qiu M, Wei X, Xiang Z, Zhou Z, Ji I, Liang X, Zhou X, Wen Q, Liu Y, Yu H. Genetic variants of SOS2, MAP2K1 and RASGRF2 in the RAS pathway genes predict survival of HBV-related hepatocellular carcinoma patients. Arch Toxicol 2023; 97:1599-1611. [PMID: 37029817 DOI: 10.1007/s00204-023-03469-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 02/16/2023] [Indexed: 04/09/2023]
Abstract
The RAS pathway participates in the cascade of proliferation and cell division process, and the activated RAS pathway can lead to tumorigenesis including hepatocellular carcinoma (HCC). However, few studies have explored the effects of genetic variants in the RAS pathway-related genes on the survival of patients with HBV-related HCC. In the present study, we assessed the associations between 11,658 single-nucleotide polymorphisms (SNPs) in 62 RAS pathway genes and the overall survival (OS) of 866 HBV-related HCC individuals, which were randomly split (1:1) into discovery and validation datasets. As a result, three potentially functional SNPs were identified, based on multivariable cox proportional hazards regression analyses, in SOS Ras/Rho guanine nucleotide exchange factor 2 (SOS2, rs4632055 A > G), Ras protein-specific guanine nucleotide releasing factor 2 (RASGRF2, rs26418A > G) and mitogen-activated protein kinase 1 (MAP2K1,rs57120695 C > T), which were significantly and independently associated with OS of HBV-related HCC patients [adjusted hazards ratios (HRs) of 1.42, 1.32 and 1.50, respectively; 95% confidence intervals (CI), 1.14 to 1.76, 1.15 to 1.53 and 1.15 to 1.97, respectively; P = 0.001, < 0.001 and 0.003, respectively]. Additionally, the joint effects as the unfavorable genotypes of these three SNPs showed a significant association with the poor survival of HCC (trend test P < 0.001). The expression quantitative trait loci (eQTL) analysis further revealed that the rs4632055 G allele and the rs26418 A allele were associated with lower mRNA expression levels of SOS2 and RASGRF2, respectively. Collectively, these potentially functional SNPs of RASGRF2, SOS2 and M2PAK1 may become potential prognostic biomarkers for HBV-related HCC after hepatectomy.
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Affiliation(s)
- Qiuling Lin
- Department of Clinical Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China
| | - Moqin Qiu
- Department of Respiratory Oncology, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Xueyan Wei
- School of Public Health, Guangxi Medical University, Nanning, China
| | - Zhouyun Xiang
- School of Public Health, Guangxi Medical University, Nanning, China
| | - Zihan Zhou
- Department of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Iiangyan Ji
- Department of Scientific Research Dept, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Xiumei Liang
- Department of Disease Process Management, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Xianguo Zhou
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China
| | - Qiuping Wen
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China
| | - Yingchun Liu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
- Key Cultivated Laboratory of Cancer Molecular Medicine, Health Commission of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
| | - Hongping Yu
- Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
- Key Cultivated Laboratory of Cancer Molecular Medicine, Health Commission of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Guangxi Medical University, Ministry of Education, Nanning, China.
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5
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Zhang X, Zou M, Wu Y, Jiang D, Wu T, Zhao Y, Wu D, Cui J, Li G. Regulation of the Late Onset alzheimer's Disease Associated HLA-DQA1/DRB1 Expression. Am J Alzheimers Dis Other Demen 2022; 37:15333175221085066. [PMID: 35341343 PMCID: PMC10581112 DOI: 10.1177/15333175221085066] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
(Genome-wide Association Studies) GWAS have identified ∼42 late-onset Alzheimer's disease (LOAD)-associated loci, each of which contains multiple single nucleotide polymorphisms (SNPs) in linkage disequilibrium (LD) and most of these SNPs are in the non-coding region of human genome. However, how these SNPs regulate risk gene expression remains unknown. In this work, by using a set of novel techniques, we identified 6 functional SNPs (fSNPs) rs9271198, rs9271200, rs9281945, rs9271243, and rs9271247 on the LOAD-associated HLA-DRB1/DQA1 locus and 42 proteins specifically binding to five of these 6 fSNPs. As a proof of evidence, we verified the allele-specific binding of GATA2 and GATA3, ELAVL1 and HNRNPA0, ILF2 and ILF3, NFIB and NFIC, as well as CUX1 to these five fSNPs, respectively. Moreover, we demonstrate that all these nine proteins regulate the expression of both HLA-DQA1 and HLA-DRB1 in human microglial cells. The contribution of HLA class II to the susceptibility of LOAD is discussed.
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Affiliation(s)
- Xiaoyu Zhang
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Meijaun Zou
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Pharmacology, Nanjing Medical University, Nanjing, China
| | - Yuwei Wu
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Medicine, Xiangya School of Medicine, Central South University, Changsha, China
| | - Danli Jiang
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ting Wu
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Medicine, Xiangya School of Medicine, Central South University, Changsha, China
| | - Yihan Zhao
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Di Wu
- Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, NC, USA
- Department of Periodontology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jing Cui
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Gang Li
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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Zou M, Jiang D, Wu T, Zhang X, Zhao Y, Wu D, Sun W, Cui J, Moreland L, Li G. Post-GWAS functional studies reveal an RA-associated CD40-induced NF-kB signal transduction and transcriptional regulation network targeted by class II HDAC inhibitors. Hum Mol Genet 2021; 30:823-835. [PMID: 33517445 PMCID: PMC8161515 DOI: 10.1093/hmg/ddab032] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 01/08/2021] [Accepted: 01/20/2021] [Indexed: 01/17/2023] Open
Abstract
Currently, it remains difficult to identify which single nucleotide polymorphisms (SNPs) identified by genome-wide association studies (GWAS) are functional and how various functional SNPs (fSNPs) interact and contribute to disease susceptibility. GWAS have identified a CD40 locus that is associated with rheumatoid arthritis (RA). We previously used two techniques developed in our laboratory, single nucleotide polymorphism-next-generation sequencing (SNP-seq) and flanking restriction enhanced DNA pulldown-mass spectrometry (FREP-MS), to determine that the RA risk gene RBPJ regulates CD40 expression via a fSNP at the RA-associated CD40 locus. In the present work, by applying the same approach, we report the identification of six proteins that regulate RBPJ expression via binding to two fSNPs on the RA-associated RBPJ locus. Using these findings, together with the published data, we constructed an RA-associated signal transduction and transcriptional regulation network (STTRN) that functionally connects multiple RA-associated risk genes via transcriptional regulation networks (TRNs) linked by CD40-induced nuclear factor kappa B (NF-kB) signaling. Remarkably, this STTRN provides insight into the potential mechanism of action for the histone deacetylase inhibitor givinostat, an approved therapy for systemic juvenile idiopathic arthritis. Thus, the generation of disease-associated STTRNs based on post-GWAS functional studies is demonstrated as a novel and effective approach to apply GWAS for mechanistic studies and target identification.
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Affiliation(s)
- Meijuan Zou
- Aging Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
- Department of Pharmacology, Nanjing Medical University, Nanjing 211166, China
| | - Danli Jiang
- Aging Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Ting Wu
- Aging Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
- Department of Medicine, Xiangya School of Medicine, Central South University, Changsha 410083, China
| | - Xiaoyu Zhang
- Aging Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Yihan Zhao
- Aging Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
| | - Di Wu
- Department of Periodontology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Wei Sun
- Department of Medicine, Center for Pulmonary Vascular Biology and Medicine, Pittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh Medical Center, Pittsburgh, PA 15261, USA
| | - Jing Cui
- Department of Medicine, Division of Rheumatology, Immunology and Allergy, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Larry Moreland
- Department of Medicine, Division of Rheumatology, University of Pittsburgh Medical Center, Pittsburgh, PA 15261, USA
| | - Gang Li
- Aging Institute, University of Pittsburgh, Pittsburgh, PA 15219, USA
- Department of Medicine, Division of Cardiology, University of Pittsburgh Medical Center, Pittsburgh, PA 15261, USA
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Abstract
Evidence accumulated over the past decade shows that long non-coding RNAs (lncRNAs) are widely expressed and have key roles in gene regulation. Recent studies have begun to unravel how the biogenesis of lncRNAs is distinct from that of mRNAs and is linked with their specific subcellular localizations and functions. Depending on their localization and their specific interactions with DNA, RNA and proteins, lncRNAs can modulate chromatin function, regulate the assembly and function of membraneless nuclear bodies, alter the stability and translation of cytoplasmic mRNAs and interfere with signalling pathways. Many of these functions ultimately affect gene expression in diverse biological and physiopathological contexts, such as in neuronal disorders, immune responses and cancer. Tissue-specific and condition-specific expression patterns suggest that lncRNAs are potential biomarkers and provide a rationale to target them clinically. In this Review, we discuss the mechanisms of lncRNA biogenesis, localization and functions in transcriptional, post-transcriptional and other modes of gene regulation, and their potential therapeutic applications.
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Mapping of Diabetes Susceptibility Loci in a Domestic Cat Breed with an Unusually High Incidence of Diabetes Mellitus. Genes (Basel) 2020; 11:genes11111369. [PMID: 33228033 PMCID: PMC7699364 DOI: 10.3390/genes11111369] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 11/09/2020] [Accepted: 11/11/2020] [Indexed: 12/11/2022] Open
Abstract
Genetic variants that are associated with susceptibility to type 2 diabetes (T2D) are important for identification of individuals at risk and can provide insights into the molecular basis of disease. Analysis of T2D in domestic animals provides both the opportunity to improve veterinary management and breeding programs as well as to identify novel T2D risk genes. Australian-bred Burmese (ABB) cats have a 4-fold increased incidence of type 2 diabetes (T2D) compared to Burmese cats bred in the United States. This is likely attributable to a genetic founder effect. We investigated this by performing a genome-wide association scan on ABB cats. Four SNPs were associated with the ABB T2D phenotype with p values <0.005. All exons and splice junctions of candidate genes near significant single-nucleotide polymorphisms (SNPs) were sequenced, including the genes DGKG, IFG2BP2, SLC8A1, E2F6, ETV5, TRA2B and LIPH. Six candidate polymorphisms were followed up in a larger cohort of ABB cats with or without T2D and also in Burmese cats bred in America, which exhibit low T2D incidence. The original SNPs were confirmed in this cohort as associated with the T2D phenotype, although no novel coding SNPs in any of the seven candidate genes showed association with T2D. The identification of genetic markers associated with T2D susceptibility in ABB cats will enable preventative health strategies and guide breeding programs to reduce the prevalence of T2D in these cats.
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Zhao Y, Wu D, Jiang D, Zhang X, Wu T, Cui J, Qian M, Zhao J, Oesterreich S, Sun W, Finkel T, Li G. A sequential methodology for the rapid identification and characterization of breast cancer-associated functional SNPs. Nat Commun 2020; 11:3340. [PMID: 32620845 PMCID: PMC7334201 DOI: 10.1038/s41467-020-17159-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 06/11/2020] [Indexed: 12/24/2022] Open
Abstract
GWAS cannot identify functional SNPs (fSNP) from disease-associated SNPs in linkage disequilibrium (LD). Here, we report developing three sequential methodologies including Reel-seq (Regulatory element-sequencing) to identify fSNPs in a high-throughput fashion, SDCP-MS (SNP-specific DNA competition pulldown-mass spectrometry) to identify fSNP-bound proteins and AIDP-Wb (allele-imbalanced DNA pulldown-Western blot) to detect allele-specific protein:fSNP binding. We first apply Reel-seq to screen a library containing 4316 breast cancer-associated SNPs and identify 521 candidate fSNPs. As proof of principle, we verify candidate fSNPs on three well-characterized loci: FGFR2, MAP3K1 and BABAM1. Next, using SDCP-MS and AIDP-Wb, we rapidly identify multiple regulatory factors that specifically bind in an allele-imbalanced manner to the fSNPs on the FGFR2 locus. We finally demonstrate that the factors identified by SDCP-MS can regulate risk gene expression. These data suggest that the sequential application of Reel-seq, SDCP-MS, and AIDP-Wb can greatly help to translate large sets of GWAS data into biologically relevant information.
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Affiliation(s)
- Yihan Zhao
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, 15219, USA
- School of Life Sciences, East China Normal University, Shanghai, China
| | - Di Wu
- Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Danli Jiang
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, 15219, USA
| | - Xiaoyu Zhang
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, 15219, USA
| | - Ting Wu
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, 15219, USA
- Department of Medicine, Xiangya School of Medicine, Central South University, Changsha, China
| | - Jing Cui
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Min Qian
- School of Life Sciences, East China Normal University, Shanghai, China
| | - Jean Zhao
- Department of Chemical Biology, DFCI, Boston, MA, 02115, USA
| | - Steffi Oesterreich
- Department of Pharmacology & Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15261, USA
- Women's Cancer Research Center, Magee-Women's Research Institute, University of Pittsburgh Cancer Institute, 204 Craft Avenue, Pittsburgh, PA, 15213, USA
| | - Wei Sun
- Department of Medicine, Division of Cardiology, University of Pittsburgh Medical Center, Pittsburgh, PA, 15219, USA
| | - Toren Finkel
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, 15219, USA
- Department of Medicine, Division of Cardiology, University of Pittsburgh Medical Center, Pittsburgh, PA, 15219, USA
| | - Gang Li
- Aging Institute, University of Pittsburgh, Pittsburgh, PA, 15219, USA.
- Department of Medicine, Division of Cardiology, University of Pittsburgh Medical Center, Pittsburgh, PA, 15219, USA.
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Gu Y, Lin X, Kapoor A, Chow MJ, Jiang Y, Zhao K, Tang D. The Oncogenic Potential of the Centromeric Border Protein FAM84B of the 8q24.21 Gene Desert. Genes (Basel) 2020; 11:genes11030312. [PMID: 32183428 PMCID: PMC7140883 DOI: 10.3390/genes11030312] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 03/09/2020] [Accepted: 03/13/2020] [Indexed: 12/14/2022] Open
Abstract
FAM84B is a risk gene in breast and prostate cancers. Its upregulation is associated with poor prognosis of prostate cancer, breast cancer, and esophageal squamous cell carcinoma. FAM84B facilitates cancer cell proliferation and invasion in vitro, and xenograft growth in vivo. The FAM84B and Myc genes border a 1.2 Mb gene desert at 8q24.21. Co-amplification of both occurs in 20 cancer types. Mice deficient of a 430 Kb fragment within the 1.2 Mb gene desert have downregulated FAM84B and Myc expressions concurrent with reduced breast cancer growth. Intriguingly, Myc works in partnership with other oncogenes, including Ras. FAM84B shares similarities with the H-Ras-like suppressor (HRASLS) family over their typical LRAT (lecithin:retinal acyltransferase) domain. This domain contains a catalytic triad, H23, H35, and C113, which constitutes the phospholipase A1/2 and O-acyltransferase activities of HRASLS1-5. These enzymatic activities underlie their suppression of Ras. FAM84B conserves H23 and H35 but not C113 with both histidine residues residing within a highly conserved motif that FAM84B shares with HRASLS1-5. Deletion of this motif abolishes FAM84B oncogenic activities. These properties suggest a collaboration of FAM84B with Myc, consistent with the role of the gene desert in strengthening Myc functions. Here, we will discuss recent research on FAM84B-derived oncogenic potential.
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Affiliation(s)
- Yan Gu
- Urological Cancer Center for Research and Innovation (UCCRI), St Joseph’s Hospital, Hamilton, ON L8N 4A6, Canada; (Y.G.); (X.L.); (M.J.C.); (Y.J.); (K.Z.)
- Department of Surgery, McMaster University, Hamilton, ON L8S 4K1, Canada;
- The Research Institute of St Joe’s Hamilton, St Joseph’s Hospital, Hamilton, ON L8N 4A6, Canada
| | - Xiaozeng Lin
- Urological Cancer Center for Research and Innovation (UCCRI), St Joseph’s Hospital, Hamilton, ON L8N 4A6, Canada; (Y.G.); (X.L.); (M.J.C.); (Y.J.); (K.Z.)
- Department of Surgery, McMaster University, Hamilton, ON L8S 4K1, Canada;
- The Research Institute of St Joe’s Hamilton, St Joseph’s Hospital, Hamilton, ON L8N 4A6, Canada
| | - Anil Kapoor
- Urological Cancer Center for Research and Innovation (UCCRI), St Joseph’s Hospital, Hamilton, ON L8N 4A6, Canada; (Y.G.); (X.L.); (M.J.C.); (Y.J.); (K.Z.)
- Department of Surgery, McMaster University, Hamilton, ON L8S 4K1, Canada;
- Department of Medicine, McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Mathilda Jing Chow
- Urological Cancer Center for Research and Innovation (UCCRI), St Joseph’s Hospital, Hamilton, ON L8N 4A6, Canada; (Y.G.); (X.L.); (M.J.C.); (Y.J.); (K.Z.)
- Department of Surgery, McMaster University, Hamilton, ON L8S 4K1, Canada;
- The Research Institute of St Joe’s Hamilton, St Joseph’s Hospital, Hamilton, ON L8N 4A6, Canada
| | - Yanzhi Jiang
- Urological Cancer Center for Research and Innovation (UCCRI), St Joseph’s Hospital, Hamilton, ON L8N 4A6, Canada; (Y.G.); (X.L.); (M.J.C.); (Y.J.); (K.Z.)
- Department of Surgery, McMaster University, Hamilton, ON L8S 4K1, Canada;
- The Research Institute of St Joe’s Hamilton, St Joseph’s Hospital, Hamilton, ON L8N 4A6, Canada
| | - Kuncheng Zhao
- Urological Cancer Center for Research and Innovation (UCCRI), St Joseph’s Hospital, Hamilton, ON L8N 4A6, Canada; (Y.G.); (X.L.); (M.J.C.); (Y.J.); (K.Z.)
- Department of Surgery, McMaster University, Hamilton, ON L8S 4K1, Canada;
- The Research Institute of St Joe’s Hamilton, St Joseph’s Hospital, Hamilton, ON L8N 4A6, Canada
| | - Damu Tang
- Urological Cancer Center for Research and Innovation (UCCRI), St Joseph’s Hospital, Hamilton, ON L8N 4A6, Canada; (Y.G.); (X.L.); (M.J.C.); (Y.J.); (K.Z.)
- Department of Surgery, McMaster University, Hamilton, ON L8S 4K1, Canada;
- The Research Institute of St Joe’s Hamilton, St Joseph’s Hospital, Hamilton, ON L8N 4A6, Canada
- Correspondence: ; Tel.: +(905)-522-1155 (ext. 35168)
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Zhang Y, Wu Y, Jia Z, Cao D, Yang N, Wang Y, Cao X, Jiang J. Long non-coding RNA polymorphisms on 8q24 are associated with the prognosis of gastric cancer in a Chinese population. PeerJ 2020; 8:e8600. [PMID: 32117633 PMCID: PMC7039120 DOI: 10.7717/peerj.8600] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Accepted: 01/19/2020] [Indexed: 12/24/2022] Open
Abstract
Background Gastric cancer (GC) remains the third leading cause of cancer death in China. Although genome-wide association studies have identified the association between several single nucleotide polymorphisms (SNPs) on 8q24 and the risk of GC, the role of these SNPs in the prognosis of GC in Chinese populations has not yet been fully evaluated. Therefore, this study was conducted to explore the association between long non-coding RNA (lncRNA) polymorphisms on 8q24 and the prognosis of GC. Methods We genotyped 726 surgically resected GC patients to explore the association between eight SNPs in the lncRNAs CCAT1 (rs10087719, rs7816475), PCAT1 (rs1026411), PRNCR1 (rs12682421, rs13252298), and CASC8 (rs1562430, rs4871789, rs6983267) transcribed from the 8q24 locus and the prognosis of GC in a Chinese population. Results We found that the patients carrying rs12682421 AA genotypes survived for a shorter time than those with the GG/GA genotype (HR = 1.39, 95% confidence interval (CI) [1.09-1.78]). Compared with the CC/CT genotype, the TT genotype of rs1562430 was associated with an increased risk of death (HR = 1.38, 95% CI [1.06-1.80]). Furthermore, the results also identified the rs1026411 SNP as an independent prognostic factor for poor survival in GC patients. Patients carrying AA/AG variant genotypes had a 36% increased risk of death compared to those carrying the GG genotype (HR = 1.36, 95% CI [1.06-1.74]). These findings suggested that the rs12682421, rs1026411 and rs1562430 SNPs may contribute to the survival of GC and be prognostic markers for GC.
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Affiliation(s)
- Yangyu Zhang
- Division of Clinical Research, First Hospital of Jilin University, Changchun, Jilin, China
| | - Yanhua Wu
- Division of Clinical Research, First Hospital of Jilin University, Changchun, Jilin, China
| | - Zhifang Jia
- Division of Clinical Research, First Hospital of Jilin University, Changchun, Jilin, China
| | - Donghui Cao
- Division of Clinical Research, First Hospital of Jilin University, Changchun, Jilin, China
| | - Na Yang
- Division of Clinical Research, First Hospital of Jilin University, Changchun, Jilin, China
| | - Yueqi Wang
- Division of Clinical Research, First Hospital of Jilin University, Changchun, Jilin, China
| | - Xueyuan Cao
- Department of Gastric and Colorectal Surgery, First Hospital of Jilin University, Changchun, Jilin, China
| | - Jing Jiang
- Division of Clinical Research, First Hospital of Jilin University, Changchun, Jilin, China
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Yuan J, Kensler KH, Hu Z, Zhang Y, Zhang T, Jiang J, Xu M, Pan Y, Long M, Montone KT, Tanyi JL, Fan Y, Zhang R, Hu X, Rebbeck TR, Zhang L. Integrative comparison of the genomic and transcriptomic landscape between prostate cancer patients of predominantly African or European genetic ancestry. PLoS Genet 2020; 16:e1008641. [PMID: 32059012 PMCID: PMC7046294 DOI: 10.1371/journal.pgen.1008641] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 02/27/2020] [Accepted: 01/30/2020] [Indexed: 12/22/2022] Open
Abstract
Men of predominantly African Ancestry (AA) have higher prostate cancer (CaP) incidence and worse survival than men of predominantly European Ancestry (EA). While socioeconomic factors drive this disparity, genomic factors may also contribute to differences in the incidence and mortality rates. To compare the prevalence of prostate tumor genomic alterations and transcriptomic profiles by patient genetic ancestry, we evaluated genomic profiles from The Cancer Genome Atlas (TCGA) CaP cohort (n = 498). Patient global and local genetic ancestry were estimated by computational algorithms using genotyping data; 414 (83.1%) were EA, 61 (12.2%) were AA, 11 (2.2%) were East Asian Ancestry (EAA), 10 (2.0%) were Native American (NA), and 2 (0.4%) were other ancestry. Genetic ancestry was highly concordant with self-identified race/ethnicity. Subsequent analyses were limited to 61 AA and 414 EA cases. Significant differences were observed by ancestry in the frequency of SPOP mutations (20.3% AA vs. 10.0% EA; p = 5.6×10-03), TMPRSS2-ERG fusions (29.3% AA vs. 39.6% EA; p = 4.4×10-02), and PTEN deletions/losses (11.5% AA vs. 30.2% EA; p = 3.5×10-03). Differentially expressed genes (DEGs) between AAs and EAs showed significant enrichment for prostate eQTL target genes (p = 8.09×10-48). Enrichment of highly expressed DEGs for immune-related pathways was observed in AAs, and for PTEN/PI3K signaling in EAs. Nearly one-third of DEGs (31.3%) were long non-coding RNAs (DE-lncRNAs). The proportion of DE-lncRNAs with higher expression in AAs greatly exceeded that with lower expression in AAs (p = 1.2×10-125). Both ChIP-seq and RNA-seq data suggested a stronger regulatory role for AR signaling pathways in DE-lncRNAs vs. non-DE-lncRNAs. CaP-related oncogenic lncRNAs, such as PVT1, PCAT1 and PCAT10/CTBP1-AS, were found to be more highly expressed in AAs. We report substantial heterogeneity in the prostate tumor genome and transcriptome between EA and AA. These differences may be biological contributors to racial disparities in CaP incidence and outcomes.
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Affiliation(s)
- Jiao Yuan
- Center for Research on Reproduction & Women’s Health, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Kevin H. Kensler
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Zhongyi Hu
- Center for Research on Reproduction & Women’s Health, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Youyou Zhang
- Center for Research on Reproduction & Women’s Health, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Tianli Zhang
- Center for Research on Reproduction & Women’s Health, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Junjie Jiang
- Center for Research on Reproduction & Women’s Health, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Mu Xu
- Center for Research on Reproduction & Women’s Health, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Yutian Pan
- Center for Research on Reproduction & Women’s Health, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Meixiao Long
- Department of Internal Medicine, Division of Hematology, Ohio State University, Columbus, Ohio, United States of America
| | - Kathleen T. Montone
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Janos L. Tanyi
- Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Yi Fan
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Rugang Zhang
- Wistar Institute, Philadelphia, Pennsylvania, United States of America
| | - Xiaowen Hu
- Center for Research on Reproduction & Women’s Health, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Timothy R. Rebbeck
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Lin Zhang
- Center for Research on Reproduction & Women’s Health, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Department of Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
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Lyra PCM, Rangel LB, Monteiro ANA. Functional Landscape of Common Variants Associated with Susceptibility to Epithelial Ovarian Cancer. CURR EPIDEMIOL REP 2020. [DOI: 10.1007/s40471-020-00227-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Fruit and vegetable intake modifies the associations between suppressor of cytokine signaling 3 genetic variants and type 2 diabetes. Eur J Nutr 2020; 59:3441-3449. [PMID: 31927672 DOI: 10.1007/s00394-020-02178-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2019] [Accepted: 01/03/2020] [Indexed: 12/13/2022]
Abstract
PURPOSE Type 2 diabetes is a complex disease determined by variable genes and environmental factors. The study was designed to investigate the effect of interactions of four polymorphisms of suppressor of cytokine signaling 3 (SOCS3) with fruit and vegetable (F&V) intake on type 2 diabetes in a rural population of China. METHODS A total of 4411 participants from the rural areas of Henan, China were included in the study. Multivariate logistic regression and restricted cubic splines were used to estimate the associations between polymorphisms and risk allele score of SOCS3 and type 2 diabetes in different groups. Haplotype analysis was conducted to examine the effects of linkage inheritance at these four loci on type 2 diabetes. RESULTS Three of the four polymorphisms showed significant associations with type 2 diabetes in the less F&V intake group after adjusting the covariates, the odds ratios (ORs) and corresponding 95% confidence intervals (95% CIs) were 1.24 (1.08-1.41) for rs4969168, 1.16 (1.02-1.32) for rs9892622, and 1.21 (1.06-1.39) for rs9914220. No significant association was detected in the more F&V intake group. The obvious dose-response relationship between the risk allele score and type 2 diabetes was also noted only in the less F&V intake group. CONCLUSIONS Variants of SOCS3 gene were associated with type 2 diabetes and the associations could be modified by the F&V intake.
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Zhan M, Wang H, Xu SW, Yang LH, Chen W, Zhao SX, Shen H, Liu Q, Yang RM, Wang J. Variants in oxidative stress-related genes affect the chemosensitivity through Nrf2-mediated signaling pathway in biliary tract cancer. EBioMedicine 2019; 48:143-160. [PMID: 31590928 PMCID: PMC6838379 DOI: 10.1016/j.ebiom.2019.08.037] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 08/15/2019] [Accepted: 08/18/2019] [Indexed: 02/08/2023] Open
Abstract
Background Oxidative stress and their effectors play critical roles in carcinogenesis and chemoresistance. However, the role of oxidative stress-related genes variants in biliary tract cancer (BTC) chemoresistance remains unknown. In this work, we aim to investigate oxidative stress-dependent molecular mechanisms underlying chemoresistance, and find potential biomarkers to predict chemotherapy response for BTC. Methods Sixty-six SNPs in 21 oxidative stress-related genes were genotyped and analyzed in 367 BTC patients. Immunoblot, immunohistochemical, immunofluorescent, quantitative PCR, chromatin immunoprecipitation analysis and study of animal xenograft models were performed to discover oxidative stress-related susceptibility genes underlying chemoresistance mechanism of BTC. Findings We found that 3 functional polymorphisms (CAT_rs769217, GPX4_rs4807542, and GSR_rs3779647), which were shown to affect their respective gene expression levels, modified the effect of chemotherapy on overall survival (OS). We then demonstrated that knockdown of GPX4, CAT, or GSR induced chemoresistance through elevation of ROS level and activation of Nrf2-ABCG2 pathway in BTC cell lines. Moreover, the association between Nrf2 expression and BTC prognosis is only found in patients who received chemotherapy. Knockdown of Nrf2 enhanced chemosensitivity or even eliminated postoperative recurrence in BTC xenograft mouse models. Importantly, upon chemotherapy treatment patients harboring high oxidative stress-related score received higher survival benefit from adjuvant chemotherapy compared with patients with low oxidative stress-related score. Interpretation The result of our study suggests, for the first time, that the oxidative stress-related score calculated by combining variations in CAT, GPX4, and GSR or Nrf2 expression could be used for predicting the chemosensitivity of BTC patients. Fund This work was supported by the National Science Foundation of China, Foundation of Shanghai Shen Kang Hospital Development Center, and Shanghai Outstanding Academic Leaders Plan.
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Affiliation(s)
- Ming Zhan
- Department of Biliary-Pancreatic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Hui Wang
- Department of Biliary-Pancreatic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Sun-Wang Xu
- Department of Biliary-Pancreatic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Lin-Hua Yang
- Department of Biliary-Pancreatic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Wei Chen
- Department of Biliary-Pancreatic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Shuang-Xia Zhao
- The Core Laboratory in Medical Center of Clinical Research, Department of Endocrinology, Shanghai Ninth People's Hospital, State Key Laboratory of Medical Genomics, Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai 200011, China
| | - Hui Shen
- Department of Biliary-Pancreatic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Qiang Liu
- Department of Pathology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Rui-Meng Yang
- The Core Laboratory in Medical Center of Clinical Research, Department of Endocrinology, Shanghai Ninth People's Hospital, State Key Laboratory of Medical Genomics, Shanghai Jiao Tong University (SJTU) School of Medicine, Shanghai 200011, China.
| | - Jian Wang
- Department of Biliary-Pancreatic Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.
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HOTAIR lncRNA SNPs rs920778 and rs1899663 are associated with smoking, male gender, and squamous cell carcinoma in a Chinese lung cancer population. Acta Pharmacol Sin 2018; 39:1797-1803. [PMID: 30154526 DOI: 10.1038/s41401-018-0083-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Accepted: 06/19/2018] [Indexed: 01/27/2023] Open
Abstract
The abnormal expression of the long noncoding RNA (lncRNA) HOX transcript intergenic antisense RNA (HOTAIR) plays an important role in the development of various cancers; however, single nucleotide polymorphisms (SNPs) in HOTAIR and their association with primary lung cancer susceptibility have not yet been reported. Here, we performed a case-control study including 262 primary lung cancer patients and 451 cancer-free control individuals to investigate the association between four haplotype-tagging SNPs (rs920778, rs12826786, rs4759314, and rs1899663) in the HOTAIR lncRNA and the risk of developing primary lung cancer. We found a significant association between the SNPs rs920778 and rs1899663 in the HOTAIR and primary lung cancer susceptibility (P < 0.05). Moreover, homozygous C/T (C/T + TT) for rs920778 (C > T) sites was significantly associated with gender, smoking history, and pathological type. In addition, linkage disequilibrium and haplotype analysis of HOTAIR gene polymorphisms for susceptibility to lung cancer revealed a high degree of linkage disequilibrium between the rs920778 and rs1899663 loci (D' = 0.86, r2 = 0.52). The population of rs920778, rs1899663, and rs4759314 had a significantly increased risk of lung cancer (P < 0.001). In summary, the present study provides persuasive evidence that SNP rs920778 is closely correlated with susceptibility to primary lung cancer. Future studies are warranted to validate and expand these findings, and to further dissect the importance of these SNPs in the development of primary lung cancer.
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Yu J, Zhao W, Tong W, He Q, Yoon MY, Li FP, Choi B, Heo EB, Kim KW, Park YJ. A Genome-Wide Association Study Reveals Candidate Genes Related to Salt Tolerance in Rice ( Oryza sativa) at the Germination Stage. Int J Mol Sci 2018; 19:ijms19103145. [PMID: 30322083 PMCID: PMC6213974 DOI: 10.3390/ijms19103145] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Revised: 10/09/2018] [Accepted: 10/09/2018] [Indexed: 02/02/2023] Open
Abstract
Salt toxicity is the major factor limiting crop productivity in saline soils. In this paper, 295 accessions including a heuristic core set (137 accessions) and 158 bred varieties were re-sequenced and ~1.65 million SNPs/indels were used to perform a genome-wide association study (GWAS) of salt-tolerance-related phenotypes in rice during the germination stage. A total of 12 associated peaks distributed on seven chromosomes using a compressed mixed linear model were detected. Determined by linkage disequilibrium (LD) blocks analysis, we finally obtained a total of 79 candidate genes. By detecting the highly associated variations located inside the genic region that overlapped with the results of LD block analysis, we characterized 17 genes that may contribute to salt tolerance during the seed germination stage. At the same time, we conducted a haplotype analysis of the genes with functional variations together with phenotypic correlation and orthologous sequence analyses. Among these genes, OsMADS31, which is a MADS-box family transcription factor, had a down-regulated expression under the salt condition and it was predicted to be involved in the salt tolerance at the rice germination stage. Our study revealed some novel candidate genes and their substantial natural variations in the rice genome at the germination stage. The GWAS in rice at the germination stage would provide important resources for molecular breeding and functional analysis of the salt tolerance during rice germination.
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Affiliation(s)
- Jie Yu
- Department of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan 32439, Korea.
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei 230036, China.
| | - Weiguo Zhao
- Department of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan 32439, Korea.
- School of Biotechnology, Jiangsu University of Science and Technology, Sibaidu, Zhenjiang, Jiangsu 212018, China.
| | - Wei Tong
- Department of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan 32439, Korea.
- State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei 230036, China.
| | - Qiang He
- Department of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan 32439, Korea.
- National Key Facility for Crop Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Min-Young Yoon
- Department of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan 32439, Korea.
- Leader of Eco. Energy & Bio (LEEBCOR), 190-26 Hwangyeonggongwon-ro, Asan-si, Chungcheongnam-do 31529, Korea.
| | - Feng-Peng Li
- Department of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan 32439, Korea.
- Suzhou GENEWIZ Biotechnology Co. LTD, C3 218 Xinghu Road Suzhou Industrial Park, Suzhou 215123, China.
| | - Buung Choi
- Department of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan 32439, Korea.
- Chemical Safety Division, National Institute of Agricultural Sciences (NIAS), Wanju 55365, Korea.
| | - Eun-Beom Heo
- Department of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan 32439, Korea.
- Breeding & Research Institute, Koregon Co. LTD, Anseong Center 60-34, Gokcheon-gil, Bogae-Myeon, Anseong-Si, Gyeonggi-Do 17509, Korea.
| | - Kyu-Won Kim
- Center of Crop Breeding on Omics and Artificial Intelligence, Kongju National University, Yesan 32439, Korea.
| | - Yong-Jin Park
- Department of Plant Resources, College of Industrial Sciences, Kongju National University, Yesan 32439, Korea.
- Center of Crop Breeding on Omics and Artificial Intelligence, Kongju National University, Yesan 32439, Korea.
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Kar SP, Berchuck A, Gayther SA, Goode EL, Moysich KB, Pearce CL, Ramus SJ, Schildkraut JM, Sellers TA, Pharoah PDP. Common Genetic Variation and Susceptibility to Ovarian Cancer: Current Insights and Future Directions. Cancer Epidemiol Biomarkers Prev 2018; 27:395-404. [PMID: 28615364 DOI: 10.1158/1055-9965.epi-17-0315] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2017] [Revised: 05/24/2017] [Accepted: 06/06/2017] [Indexed: 11/16/2022] Open
Abstract
In this review, we summarize current progress in the genetic epidemiology of epithelial ovarian cancer (EOC), focusing exclusively on elucidating the role of common germline genetic variation in conferring susceptibility to EOC. We provide an overview of the more than 30 EOC risk loci identified to date by genome-wide association studies (GWAS) and describe the contribution of large-scale, cross-cancer type, custom genotyping projects, such as the OncoArray and the Collaborative Oncological Gene-Environment Study, to locus discovery and replication. We discuss the histotype-specific nature of these EOC risk loci, pleiotropy, or overlapping genetic effects between EOC and other hormone-related cancer types, and the application of findings to polygenic risk prediction for EOC. The second part of the article offers a concise review of primarily laboratory-based studies that have led to the identification of several putative EOC susceptibility genes using common variants at the known EOC risk loci as starting points. More global biological insights emerging from network- and pathway-based analyses of GWAS for EOC susceptibility are also highlighted. Finally, we delve into potential future directions, including the need to identify EOC risk loci in non-European populations and the next generation of GWAS functional studies that are likely to involve genome editing to establish the cell type-specific carcinogenic effects of EOC risk variants Cancer Epidemiol Biomarkers Prev; 27(4); 395-404. ©2018 AACRSee all articles in this CEBP Focus section, "Genome-Wide Association Studies in Cancer."
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Affiliation(s)
- Siddhartha P Kar
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom.
| | - Andrew Berchuck
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, North Carolina
| | - Simon A Gayther
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Ellen L Goode
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, Minnesota
| | - Kirsten B Moysich
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York
| | - Celeste Leigh Pearce
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Susan J Ramus
- School of Women's and Children's Health, University of New South Wales, Sydney, Australia
| | - Joellen M Schildkraut
- Department of Public Health Sciences, University of Virginia School of Medicine, Virginia
| | - Thomas A Sellers
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom.
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom
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Li X, Xu X, Fang J, Wang L, Mu Y, Zhang P, Yao Z, Ma Z, Liu Z. Rs2853677 modulates Snail1 binding to the TERT enhancer and affects lung adenocarcinoma susceptibility. Oncotarget 2018; 7:37825-37838. [PMID: 27191258 PMCID: PMC5122352 DOI: 10.18632/oncotarget.9339] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2015] [Accepted: 04/28/2016] [Indexed: 01/07/2023] Open
Abstract
Genome wide association studies (GWAS) have shown that SNPs in non-coding regions are associated with inherited susceptibility to cancer. The effect of one single SNP, however, is weak. To identify potential co-factors of SNPs, we investigated the underlying mechanism by which SNPs affect lung cancer susceptibility. We found that rs2853677 is located within the Snail1 binding site in a TERT enhancer. This enhancer increases TERT transcription when juxtaposed to the TERT promoter. The binding of Snail1 to the enhancer disrupts enhancer-promoter colocalization and silences TERT transcription. The high risk variant of rs2853677 disrupts the Snail1 binding site and derepresses TERT expression in response to Snail1 upregulation, thus increasing lung adenocarcinoma susceptibility. Our data suggest that Snail1 may be a co-factor of rs2853677 for predicting lung adenocarcinoma susceptibility and prognosis.
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Affiliation(s)
- Xiaoting Li
- Department of Immunology, Biochemistry and Molecular Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, China.,Department of Forensic Medicine, Tianjin Medical University, Tianjin, China
| | - Xing Xu
- Department of Immunology, Biochemistry and Molecular Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, China
| | - Jiali Fang
- Department of Immunology, Biochemistry and Molecular Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, China
| | - Lin Wang
- Department of Immunology, Biochemistry and Molecular Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, China
| | - Yanchao Mu
- Department of Immunology, Biochemistry and Molecular Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, China
| | - Peng Zhang
- Department of Clinical Laboratory, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Zhi Yao
- Department of Immunology, Biochemistry and Molecular Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, China.,Key Laboratory of Immune Microenvironment and Disease of the Ministry of Education, Tianjin Medical University, Tianjin, China
| | - Zhenyi Ma
- Department of Immunology, Biochemistry and Molecular Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, China
| | - Zhe Liu
- Department of Immunology, Biochemistry and Molecular Biology, 2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Key Laboratory of Medical Epigenetics, Tianjin Medical University, Tianjin, China
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Abstract
Pancreatic cancers arise through a series of genetic events both inherited and acquired. Inherited genetic changes, both high penetrance and low penetrance, are an important component of pancreatic cancer risk, and may be used to characterize populations who will benefit from early detection. Furthermore, pancreatic cancer patients with inherited mutations may be particularly sensitive to certain targeted agents, providing an opportunity to personalized treatment. Family history of pancreatic cancer is one of the strongest risk factors for the disease, and is associated with an increased risk of caners at other sites, including but not limited to breast, ovarian and colorectal cancer. The goal of this chapter is to discuss the importance of family history of pancreatic cancer, and the known genes that account for a portion of the familial clustering of pancreatic cancer.
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Affiliation(s)
- Fei Chen
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Nicholas J Roberts
- Department of Pathology, Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins Medical Institution, Baltimore, MD, USA
| | - Alison P Klein
- Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Pathology, Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, The Johns Hopkins Medical Institution, Baltimore, MD, USA.
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21
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Qian DC, Molfese DL, Jin JL, Titus AJ, He Y, Li Y, Vaissié M, Viswanath H, Baldwin PR, Krahe R, Salas R, Amos CI. Genome-wide imaging association study implicates functional activity and glial homeostasis of the caudate in smoking addiction. BMC Genomics 2017; 18:740. [PMID: 28927378 PMCID: PMC5605997 DOI: 10.1186/s12864-017-4124-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2017] [Accepted: 09/06/2017] [Indexed: 12/21/2022] Open
Abstract
Background Nearly 6 million deaths and over a half trillion dollars in healthcare costs worldwide are attributed to tobacco smoking each year. Extensive research efforts have been pursued to elucidate the molecular underpinnings of smoking addiction and facilitate cessation. In this study, we genotyped and obtained both resting state and task-based functional magnetic resonance imaging from 64 non-smokers and 42 smokers. Smokers were imaged after having smoked normally (“sated”) and after having not smoked for at least 12 h (“abstinent”). Results While abstinent smokers did not differ from non-smokers with respect to pairwise resting state functional connectivities (RSFCs) between 12 brain regions of interest, RSFCs involving the caudate and putamen of sated smokers significantly differed from those of non-smokers (P < 0.01). Further analyses of caudate and putamen activity during elicited experiences of reward and disappointment show that caudate activity during reward (CR) correlated with smoking status (P = 0.015). Moreover, abstinent smokers with lower CR experienced greater withdrawal symptoms (P = 0.024), which suggests CR may be related to smoking urges. Associations between genetic variants and CR, adjusted for smoking status, were identified by genome-wide association study (GWAS). Genes containing or exhibiting caudate-specific expression regulation by these variants were enriched within Gene Ontology terms that describe cytoskeleton functions, synaptic organization, and injury response (P < 0.001, FDR < 0.05). Conclusions By integrating genomic and imaging data, novel insights into potential mechanisms of caudate activation and homeostasis are revealed that may guide new directions of research toward improving our understanding of addiction pathology. Electronic supplementary material The online version of this article (10.1186/s12864-017-4124-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- David C Qian
- Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, Lebanon, NH, 03756, USA
| | - David L Molfese
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, 77030, USA.,Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, 77030, USA
| | - Jennifer L Jin
- Department of Mathematics, Dartmouth College, Hanover, NH, 03755, USA
| | - Alexander J Titus
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Lebanon, NH, 03756, USA
| | - Yixuan He
- Department of Mathematics, Dartmouth College, Hanover, NH, 03755, USA.,Department of Biological Sciences, Dartmouth College, Hanover, NH, 03755, USA
| | - Yafang Li
- Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, Lebanon, NH, 03756, USA
| | - Maxime Vaissié
- Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, Lebanon, NH, 03756, USA
| | - Humsini Viswanath
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Philip R Baldwin
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, 77030, USA.,Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, 77030, USA
| | - Ralf Krahe
- Department of Genetics, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Ramiro Salas
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, 77030, USA.,Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, 77030, USA
| | - Christopher I Amos
- Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, Lebanon, NH, 03756, USA.
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22
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Heidenreich B, Kumar R. Altered TERT promoter and other genomic regulatory elements: occurrence and impact. Int J Cancer 2017; 141:867-876. [PMID: 28407294 DOI: 10.1002/ijc.30735] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Revised: 03/28/2017] [Accepted: 03/31/2017] [Indexed: 12/19/2022]
Abstract
Study of genetic alterations, inherited or acquired, that increase the risk or drive cancers and many other diseases had remained mostly confined to coding sequences of the human genome. Data from genome wide associations studies, development of the Encyclopedia of DNA Elements (ENCODE), and a spurt in detection of driver somatic mutations have shifted focus towards noncoding regions of the human genome. The majority of genetic variants robustly associated with cancers and other syndromes identified through genome wide studies are located within noncoding regulatory regions of the genome. Genome wide techniques have put an emphasis on the role of three-dimensional chromosomal structures and cis-acting elements in regulations of different genes. The variants within noncoding genomic regions can potentially alter a number of regulatory elements including promoters, enhancers, insulators, noncoding long RNAs and others that affect cancers and various diseases through altered expression of critical genes. With effect of genetic alterations within regulatory elements dependent on other partner molecules like transcription factors and histone marks, an understanding of such modifications can potentially identify extended therapeutic targets. That concept has been augmented by the detection of driver somatic noncoding mutations within the promoter region of the telomerase reverse transcriptase (TERT) gene in different cancers. The acquired somatic noncoding mutations within different regulatory elements are now being reported in different cancers with an increased regularity. In this review we discuss the occurrence and impact of germline and somatic alterations within the TERT promoter and other genomic regulatory elements.
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Affiliation(s)
- Barbara Heidenreich
- Division of Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Rajiv Kumar
- Division of Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg, Germany.,German Consortium for Translational Research (DKTK), German Cancer Research Center, Heidelberg, Germany
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23
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Kar SP, Adler E, Tyrer J, Hazelett D, Anton-Culver H, Bandera EV, Beckmann MW, Berchuck A, Bogdanova N, Brinton L, Butzow R, Campbell I, Carty K, Chang-Claude J, Cook LS, Cramer DW, Cunningham JM, Dansonka-Mieszkowska A, Doherty JA, Dörk T, Dürst M, Eccles D, Fasching PA, Flanagan J, Gentry-Maharaj A, Glasspool R, Goode EL, Goodman MT, Gronwald J, Heitz F, Hildebrandt MAT, Høgdall E, Høgdall CK, Huntsman DG, Jensen A, Karlan BY, Kelemen LE, Kiemeney LA, Kjaer SK, Kupryjanczyk J, Lambrechts D, Levine DA, Li Q, Lissowska J, Lu KH, Lubiński J, Massuger LFAG, McGuire V, McNeish I, Menon U, Modugno F, Monteiro AN, Moysich KB, Ness RB, Nevanlinna H, Paul J, Pearce CL, Pejovic T, Permuth JB, Phelan C, Pike MC, Poole EM, Ramus SJ, Risch HA, Rossing MA, Salvesen HB, Schildkraut JM, Sellers TA, Sherman M, Siddiqui N, Sieh W, Song H, Southey M, Terry KL, Tworoger SS, Walsh C, Wentzensen N, Whittemore AS, Wu AH, Yang H, Zheng W, Ziogas A, Freedman ML, Gayther SA, Pharoah PDP, Lawrenson K. Enrichment of putative PAX8 target genes at serous epithelial ovarian cancer susceptibility loci. Br J Cancer 2017; 116:524-535. [PMID: 28103614 PMCID: PMC5318969 DOI: 10.1038/bjc.2016.426] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2016] [Revised: 11/23/2016] [Accepted: 11/29/2016] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified 18 loci associated with serous ovarian cancer (SOC) susceptibility but the biological mechanisms driving these findings remain poorly characterised. Germline cancer risk loci may be enriched for target genes of transcription factors (TFs) critical to somatic tumorigenesis. METHODS All 615 TF-target sets from the Molecular Signatures Database were evaluated using gene set enrichment analysis (GSEA) and three GWAS for SOC risk: discovery (2196 cases/4396 controls), replication (7035 cases/21 693 controls; independent from discovery), and combined (9627 cases/30 845 controls; including additional individuals). RESULTS The PAX8-target gene set was ranked 1/615 in the discovery (PGSEA<0.001; FDR=0.21), 7/615 in the replication (PGSEA=0.004; FDR=0.37), and 1/615 in the combined (PGSEA<0.001; FDR=0.21) studies. Adding other genes reported to interact with PAX8 in the literature to the PAX8-target set and applying an alternative to GSEA, interval enrichment, further confirmed this association (P=0.006). Fifteen of the 157 genes from this expanded PAX8 pathway were near eight loci associated with SOC risk at P<10-5 (including six with P<5 × 10-8). The pathway was also associated with differential gene expression after shRNA-mediated silencing of PAX8 in HeyA8 (PGSEA=0.025) and IGROV1 (PGSEA=0.004) SOC cells and several PAX8 targets near SOC risk loci demonstrated in vitro transcriptomic perturbation. CONCLUSIONS Putative PAX8 target genes are enriched for common SOC risk variants. This finding from our agnostic evaluation is of particular interest given that PAX8 is well-established as a specific marker for the cell of origin of SOC.
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Affiliation(s)
- Siddhartha P Kar
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge CB1 8RN, UK
| | - Emily Adler
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA
| | - Jonathan Tyrer
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge CB1 8RN, UK
- Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Cambridge CB1 8RN, UK
| | - Dennis Hazelett
- Bioinformatics and Computational Biology Research Center, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Hoda Anton-Culver
- Department of Epidemiology, Director of Genetic Epidemiology Research Institute, UCI Center for Cancer Genetics Research & Prevention, School of Medicine, University of California Irvine, Irvine, CA 92697, USA
| | - Elisa V Bandera
- Cancer Prevention and Control Program, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
| | - Matthias W Beckmann
- University Hospital Erlangen, Department of Gynecology and Obstetrics, Friedrich-Alexander-University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen Nuremberg, Universitaetsstrasse 21-23, Erlangen 91054, Germany
| | - Andrew Berchuck
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC 27710, USA
| | - Natalia Bogdanova
- Radiation Oncology Research Unit, Hannover Medical School, Hannover 30625, Germany
| | - Louise Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Ralf Butzow
- Department of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki 00100, Finland
| | - Ian Campbell
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, St Andrews Place, East Melbourne, VIC 3002, Australia
- Department of Pathology, University of Melbourne, Parkville, VIC 3010, Australia
| | - Karen Carty
- The Beatson West of Scotland Cancer Centre, Glasgow G12 0YN, UK
| | - Jenny Chang-Claude
- German Cancer Research Center, Division of Cancer Epidemiology, Heidelberg 69120, Germany
- University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Linda S Cook
- Division of Epidemiology and Biostatistics, Department of Internal Medicine, University of New Mexico, Albuquerque, NM 87131, USA
| | - Daniel W Cramer
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital, Boston, MA 02215, USA
| | - Julie M Cunningham
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Agnieszka Dansonka-Mieszkowska
- Department of Pathology, The Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw 02-781, Poland
| | - Jennifer Anne Doherty
- Department of Epidemiology, The Geisel School of Medicine—at Dartmouth, Hanover, NH 03756, USA
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover 30625, Germany
| | - Matthias Dürst
- Department of Gynecology, Jena-University Hospital-Friedrich Schiller University, Jena 07737, Germany
| | - Diana Eccles
- Faculty of Medicine, University of Southampton, Southampton SO16 5YA, UK
| | - Peter A Fasching
- University Hospital Erlangen, Department of Gynecology and Obstetrics, Friedrich-Alexander-University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen Nuremberg, Universitaetsstrasse 21-23, Erlangen 91054, Germany
- Division of Hematology and Oncology, Department of Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - James Flanagan
- Department of Surgery & Cancer, Imperial College London, London SW7 2AZ, UK
| | - Aleksandra Gentry-Maharaj
- Department of Women's Cancer, Institute for Women's Health, University College London, London W1T 7DN, UK
| | | | - Ellen L Goode
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, MI 55905, USA
| | - Marc T Goodman
- Cancer Prevention and Control, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Community and Population Health Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Jacek Gronwald
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin 70-001, Poland
| | - Florian Heitz
- Department of Gynecology and Gynecologic Oncology, Kliniken Essen-Mitte/ Evang. Huyssens-Stiftung/ Knappschaft GmbH, Essen 45136, Germany
- Department of Gynecology and Gynecologic Oncology, Dr Horst Schmidt Kliniken Wiesbaden, Wiesbaden 65199, Germany
| | - Michelle A T Hildebrandt
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Estrid Høgdall
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen 2100, Denmark
- Molecular Unit, Department of Pathology, Herlev Hospital, University of Copenhagen, Copenhagen 1165, Denmark
| | - Claus K Høgdall
- The Juliane Marie Centre, Department of Gynecology, Rigshospitalet, University of Copenhagen, Copenhagen 2100, Denmark
| | - David G Huntsman
- British Columbia's Ovarian Cancer Research (OVCARE) Program, Vancouver General Hospital, BC Cancer Agency and University of British Columbia, Vancouver, BC V5Z 1L3, Canada
- Departments of Pathology and Laboratory Medicine and Obstetrics and Gynaecology, University of British Columbia, Vancouver, BC V5Z 1L3, Canada
- Department of Molecular Oncology, BC Cancer Agency Research Centre, Vancouver, BC V5Z 1L3, Canada
| | - Allan Jensen
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen 2100, Denmark
| | - Beth Y Karlan
- Women's Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Linda E Kelemen
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29435, USA
| | - Lambertus A Kiemeney
- Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen 6500 HB, The Netherlands
| | - Susanne K Kjaer
- Department of Virus, Lifestyle and Genes, Danish Cancer Society Research Center, Copenhagen 2100, Denmark
- Department of Gynaecology, Rigshospitalet, University of Copenhagen, Copenhagen 2100, Denmark
| | - Jolanta Kupryjanczyk
- Department of Pathology, The Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw 02-781, Poland
| | - Diether Lambrechts
- Vesalius Research Center, VIB, Leuven 3000, Belgium
- Laboratory for Translational Genetics, Department of Oncology, University of Leuven 3000, Belgium
| | - Douglas A Levine
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Qiyuan Li
- Department of Medical Oncology, The Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Medical College of Xiamen University, Xiamen 361102, China
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw 02-781, Poland
| | - Karen H Lu
- Department of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jan Lubiński
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin 70-001, Poland
| | - Leon F A G Massuger
- Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Department of Gynaecology, Nijmegen 6500 HB, The Netherlands
| | - Valerie McGuire
- Department of Health Research and Policy—Epidemiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Iain McNeish
- Institute of Cancer Sciences, University of Glasgow, Wolfson Wohl Cancer Research Centre, Beatson Institute for Cancer Research, Glasgow G12 0YN, UK
| | - Usha Menon
- Department of Women's Cancer, Institute for Women's Health, University College London, London W1T 7DN, UK
| | - Francesmary Modugno
- Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA 15213, USA
- Ovarian Cancer Center of Excellence, Womens Cancer Research Program, Magee-Womens Research Institute and University of Pittsburgh Cancer Institute, Pittsburgh, PA 15213, USA
| | - Alvaro N Monteiro
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Kirsten B Moysich
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY 14263, USA
| | - Roberta B Ness
- The University of Texas School of Public Health, Houston, TX 77030, USA
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki 00100, Finland
| | - James Paul
- The Beatson West of Scotland Cancer Centre, Glasgow G12 0YN, UK
| | - Celeste L Pearce
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Tanja Pejovic
- Department of Obstetrics & Gynecology, Oregon Health & Science University, Portland, OR 97239, USA
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR 97239, USA
| | - Jennifer B Permuth
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Catherine Phelan
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Malcolm C Pike
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA
| | - Elizabeth M Poole
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA
| | - Susan J Ramus
- Faculty of Medicine, University of New South Wales, Sydney, NSW 2052, Australia
| | - Harvey A Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT 06510, USA
| | - Mary Anne Rossing
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98109, USA
| | - Helga B Salvesen
- Department of Gynecology and Obstetrics, Haukeland University Horpital, Bergen 5058, Norway
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen 5058, Norway
| | - Joellen M Schildkraut
- Department of Community and Family Medicine, Duke University Medical Center, Durham, NC 27710, USA
- Cancer Control and Population Sciences, Duke Cancer Institute, Durham, NC 27710, USA
| | - Thomas A Sellers
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL 33612, USA
| | - Mark Sherman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Nadeem Siddiqui
- Department of Gynaecological Oncology, Glasgow Royal Infirmary, Glasgow G4 0SF, UK
| | - Weiva Sieh
- Department of Health Research and Policy—Epidemiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Honglin Song
- Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Cambridge CB1 8RN, UK
| | - Melissa Southey
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Melbourne, VIC 3002, Australia
| | - Kathryn L Terry
- Obstetrics and Gynecology Epidemiology Center, Brigham and Women's Hospital, Boston, MA 02215, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
| | - Shelley S Tworoger
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
| | - Christine Walsh
- Women's Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Alice S Whittemore
- Department of Health Research and Policy—Epidemiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, CA 90033, USA
| | - Hannah Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center Medicine, Nashville, TN 37232, USA
| | - Argyrios Ziogas
- Department of Epidemiology, University of California Irvine, Irvine, CA 92697, USA
| | - Matthew L Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- The Eli and Edythe L. Broad Institute, Cambridge, MA 02142, USA
| | - Simon A Gayther
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge CB1 8RN, UK
- Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Cambridge CB1 8RN, UK
| | - Kate Lawrenson
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
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24
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Hanson C, Cairns J, Wang L, Sinha S. Computational discovery of transcription factors associated with drug response. THE PHARMACOGENOMICS JOURNAL 2016; 16:573-582. [PMID: 26503816 PMCID: PMC4848185 DOI: 10.1038/tpj.2015.74] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2015] [Revised: 08/04/2015] [Accepted: 08/07/2015] [Indexed: 02/01/2023]
Abstract
This study integrates gene expression, genotype and drug response data in lymphoblastoid cell lines with transcription factor (TF)-binding sites from ENCODE (Encyclopedia of Genomic Elements) in a novel methodology that elucidates regulatory contexts associated with cytotoxicity. The method, GENMi (Gene Expression iN the Middle), postulates that single-nucleotide polymorphisms within TF-binding sites putatively modulate its regulatory activity, and the resulting variation in gene expression leads to variation in drug response. Analysis of 161 TFs and 24 treatments revealed 334 significantly associated TF-treatment pairs. Investigation of 20 selected pairs yielded literature support for 13 of these associations, often from studies where perturbation of the TF expression changes drug response. Experimental validation of significant GENMi associations in taxanes and anthracyclines across two triple-negative breast cancer cell lines corroborates our findings. The method is shown to be more sensitive than an alternative, genome-wide association study-based approach that does not use gene expression. These results demonstrate the utility of GENMi in identifying TFs that influence drug response and provide a number of candidates for further testing.
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Affiliation(s)
- C Hanson
- Department of Computer Science, University of Illinois at Urbana–Champaign, Urbana, IL, USA
| | - J Cairns
- Division of Clinical Pharmacology, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - L Wang
- Division of Clinical Pharmacology, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - S Sinha
- Department of Computer Science and Institute of Genomic Biology, University of Illinois at Urbana–Champaign, Urbana, IL, USA
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Genomic Alterations of Non-Coding Regions Underlie Human Cancer: Lessons from T-ALL. Trends Mol Med 2016; 22:1035-1046. [PMID: 28240214 DOI: 10.1016/j.molmed.2016.10.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2016] [Revised: 10/06/2016] [Accepted: 10/10/2016] [Indexed: 12/31/2022]
Abstract
It has been appreciated for decades that somatic genomic alterations that change coding sequences of proto-oncogenes, translocate enhancers/promoters near proto-oncogenes, or create fusion oncogenes can drive cancer by inducing oncogenic activities. An explosion of genome-wide technologies over the past decade has fueled discoveries of the roles of three-dimensional chromosome structure and powerful cis-acting elements (super-enhancers) in regulating gene transcription. In recent years, studies of human T cell acute lymphoblastic leukemia (T-ALL) using genome-wide technologies have provided paradigms for how non-coding genomic region alterations can disrupt 3D chromosome architecture or establish super-enhancers to activate oncogenic transcription of proto-oncogenes. These studies raise important issues to consider with the objective of leveraging basic knowledge into new diagnostic and therapeutic opportunities for cancer patients.
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Zhang M, Wang Z, Obazee O, Jia J, Childs EJ, Hoskins J, Figlioli G, Mocci E, Collins I, Chung CC, Hautman C, Arslan AA, Beane-Freeman L, Bracci PM, Buring J, Duell EJ, Gallinger S, Giles GG, Goodman GE, Goodman PJ, Kamineni A, Kolonel LN, Kulke MH, Malats N, Olson SH, Sesso HD, Visvanathan K, White E, Zheng W, Abnet CC, Albanes D, Andreotti G, Brais L, Bueno-de-Mesquita HB, Basso D, Berndt SI, Boutron-Ruault MC, Bijlsma MF, Brenner H, Burdette L, Campa D, Caporaso NE, Capurso G, Cavestro GM, Cotterchio M, Costello E, Elena J, Boggi U, Gaziano JM, Gazouli M, Giovannucci EL, Goggins M, Gross M, Haiman CA, Hassan M, Helzlsouer KJ, Hu N, Hunter DJ, Iskierka-Jazdzewska E, Jenab M, Kaaks R, Key TJ, Khaw KT, Klein EA, Kogevinas M, Krogh V, Kupcinskas J, Kurtz RC, Landi MT, Landi S, Marchand LL, Mambrini A, Mannisto S, Milne RL, Neale RE, Oberg AL, Panico S, Patel AV, Peeters PHM, Peters U, Pezzilli R, Porta M, Purdue M, Quiros JR, Riboli E, Rothman N, Scarpa A, Scelo G, Shu XO, Silverman DT, Soucek P, Strobel O, Sund M, Małecka-Panas E, Taylor PR, Tavano F, Travis RC, Thornquist M, Tjønneland A, Tobias GS, Trichopoulos D, Vashist Y, Vodicka P, Wactawski-Wende J, Wentzensen N, Yu H, Yu K, Zeleniuch-Jacquotte A, Kooperberg C, Risch HA, Jacobs EJ, Li D, Fuchs C, Hoover R, Hartge P, Chanock SJ, Petersen GM, Stolzenberg-Solomon RS, Wolpin BM, Kraft P, Klein AP, Canzian F, Amundadottir LT. Three new pancreatic cancer susceptibility signals identified on chromosomes 1q32.1, 5p15.33 and 8q24.21. Oncotarget 2016; 7:66328-66343. [PMID: 27579533 PMCID: PMC5340084 DOI: 10.18632/oncotarget.11041] [Citation(s) in RCA: 78] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/1969] [Accepted: 12/31/1969] [Indexed: 12/20/2022] Open
Abstract
Genome-wide association studies (GWAS) have identified common pancreatic cancer susceptibility variants at 13 chromosomal loci in individuals of European descent. To identify new susceptibility variants, we performed imputation based on 1000 Genomes (1000G) Project data and association analysis using 5,107 case and 8,845 control subjects from 27 cohort and case-control studies that participated in the PanScan I-III GWAS. This analysis, in combination with a two-staged replication in an additional 6,076 case and 7,555 control subjects from the PANcreatic Disease ReseArch (PANDoRA) and Pancreatic Cancer Case-Control (PanC4) Consortia uncovered 3 new pancreatic cancer risk signals marked by single nucleotide polymorphisms (SNPs) rs2816938 at chromosome 1q32.1 (per allele odds ratio (OR) = 1.20, P = 4.88x10 -15), rs10094872 at 8q24.21 (OR = 1.15, P = 3.22x10 -9) and rs35226131 at 5p15.33 (OR = 0.71, P = 1.70x10 -8). These SNPs represent independent risk variants at previously identified pancreatic cancer risk loci on chr1q32.1 ( NR5A2), chr8q24.21 ( MYC) and chr5p15.33 ( CLPTM1L- TERT) as per analyses conditioned on previously reported susceptibility variants. We assessed expression of candidate genes at the three risk loci in histologically normal ( n = 10) and tumor ( n = 8) derived pancreatic tissue samples and observed a marked reduction of NR5A2 expression (chr1q32.1) in the tumors (fold change -7.6, P = 5.7x10 -8). This finding was validated in a second set of paired ( n = 20) histologically normal and tumor derived pancreatic tissue samples (average fold change for three NR5A2 isoforms -31.3 to -95.7, P = 7.5x10 -4-2.0x10 -3). Our study has identified new susceptibility variants independently conferring pancreatic cancer risk that merit functional follow-up to identify target genes and explain the underlying biology.
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Affiliation(s)
- Mingfeng Zhang
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Ofure Obazee
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jinping Jia
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Erica J. Childs
- Department of Oncology, the Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jason Hoskins
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Gisella Figlioli
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Evelina Mocci
- Department of Oncology, the Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Irene Collins
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Charles C. Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA
| | - Christopher Hautman
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Alan A. Arslan
- Department of Obstetrics and Gynecology, New York University School of Medicine, New York, New York, USA
- Department of Environmental Medicine, New York University School of Medicine, New York, New York, USA
- New York University Cancer Institute, New York, New York, USA
| | - Laura Beane-Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Paige M. Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - Julie Buring
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Division of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Eric J. Duell
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Bellvitge Biomedical Research Institute (IDIBELL), Catalan Institute of Oncology (ICO), Barcelona, Spain
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Graham G. Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Gary E. Goodman
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Phyllis J. Goodman
- Southwest Oncology Group Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Aruna Kamineni
- Group Health Research Institute, Seattle, Washington, USA
| | - Laurence N. Kolonel
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Matthew H. Kulke
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Núria Malats
- Genetic and Molecular Epidemiology Group, CNIO-Spanish National Cancer Research Centre, Madrid, Spain
| | - Sara H. Olson
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Howard D. Sesso
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Division of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Kala Visvanathan
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Emily White
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Christian C. Abnet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Gabriella Andreotti
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Lauren Brais
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - H. Bas Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Daniela Basso
- Department of Laboratory Medicine, University Hospital of Padova, Padua, Italy
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Marie-Christine Boutron-Ruault
- Inserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women's Health Team, F-94805, Villejuif, France
- University Paris Sud, UMRS 1018, F-94805, Villejuif, France
- IGR, F-94805, Villejuif, France
| | - Maarten F. Bijlsma
- Laboratory for Experimental Oncology and Radiobiology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Laurie Burdette
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
- Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA
| | - Daniele Campa
- Department of Biology, University of Pisa, Pisa, Italy
| | - Neil E. Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Gabriele Capurso
- Digestive and Liver Disease Unit, ‘Sapienza’ University of Rome, Rome, Italy
| | - Giulia Martina Cavestro
- Gastroenterology and Gastrointestinal Endoscopy Unit, Vita-Salute San Raffaele University, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Michelle Cotterchio
- Prevention and Cancer Control, Cancer Care Ontario, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Eithne Costello
- National Institute for Health Research Liverpool Pancreas Biomedical Research Unit, University of Liverpool, Liverpool, United Kingdom
| | - Joanne Elena
- Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Ugo Boggi
- Department of Surgery, Unit of Experimental Surgical Pathology, University Hospital of Pisa, Pisa, Italy
| | - J. Michael Gaziano
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Division of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Massachusetts Veteran's Epidemiology, Research, and Information Center, Geriatric Research Education and Clinical Center, Veterans Affairs Boston Healthcare System, Boston, Massachusetts, USA
| | - Maria Gazouli
- Department of Basic Medical Sciences, Laboratory of Biology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Edward L. Giovannucci
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts, USA
- Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Michael Goggins
- Department of Pathology, Sidney Kimmel Cancer Center and Johns Hopkins University, Baltimore, Maryland, USA
- Department of Medicine, Sidney Kimmel Cancer Center and Johns Hopkins University, Baltimore, Maryland, USA
- Department of Oncology, Sidney Kimmel Cancer Center and Johns Hopkins University, Baltimore, Maryland, USA
| | - Myron Gross
- Laboratory of Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Christopher A. Haiman
- Preventive Medicine, University of Southern California, Los Angeles, California, USA
| | - Manal Hassan
- Department of Gastrointestinal Medical Oncology, University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA
| | - Kathy J. Helzlsouer
- Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Nan Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - David J. Hunter
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Harvard School of Public Health, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | | | - Mazda Jenab
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Timothy J. Key
- Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom
| | - Kay-Tee Khaw
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Eric A. Klein
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Manolis Kogevinas
- Centre de Recerca en Epidemiologia Ambiental (CREAL), CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Hospital del Mar Institute of Medical Research (IMIM), Barcelona, Spain
- National School of Public Health, Athens, Greece
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Juozas Kupcinskas
- Department of Gastroenterology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Robert C. Kurtz
- Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Maria T. Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Stefano Landi
- Department of Biology, University of Pisa, Pisa, Italy
| | - Le Loic Marchand
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Andrea Mambrini
- Oncology Department, ASL1 Massa Carrara, Massa Carrara, Italy
| | - Satu Mannisto
- National Institute for Health and Welfare, Department of Chronic Disease Prevention, Helsinki, Finland
| | - Roger L. Milne
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
| | - Rachel E. Neale
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Ann L. Oberg
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Salvatore Panico
- Dipartimento di Medicina Clinica E Chirurgia, Federico II Univeristy, Naples, Italy
| | - Alpa V. Patel
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA
| | - Petra H. M. Peeters
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Raffaele Pezzilli
- Pancreas Unit, Department of Digestive Diseases and Internal Medicine, Sant'Orsola-Malpighi Hospital, Bologna, Italy
| | - Miquel Porta
- Hospital del Mar Institute of Medical Research (IMIM), Barcelona, Spain
- School of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Mark Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - J. Ramón Quiros
- Public Health and Participation Directorate, Asturias, Spain
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Aldo Scarpa
- ARC-NET: Centre for Applied Research on Cancer, University and Hospital Trust of Verona, Verona, Italy
| | - Ghislaine Scelo
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Xiao-Ou Shu
- Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Debra T. Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Pavel Soucek
- Laboratory of Pharmacogenomics, Biomedical Center, Faculty of Medicine in Pilsen, Charles University in Prague, Pilsen, Czech Republic
| | - Oliver Strobel
- Department of General Surgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Malin Sund
- Department of Surgical and Peroperative Sciences, Umeå University, Umeå, Sweden
| | - Ewa Małecka-Panas
- Department of Digestive Tract Diseases, Medical University of Łodz, Łodz, Poland
| | - Philip R. Taylor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Francesca Tavano
- Division of Gastroenterology and Research Laboratory, IRCCS Scientific Institute and Regional General Hospital “Casa Sollievo della Sofferenza”, San Giovanni Rotondo, Italy
| | - Ruth C. Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom
| | - Mark Thornquist
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Anne Tjønneland
- Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark
| | - Geoffrey S. Tobias
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Dimitrios Trichopoulos
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
- Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece
- Hellenic Health Foundation, Athens, Greece
| | - Yogesh Vashist
- Department of General, Visceral and Thoracic Surgery, University Hamburg-Eppendorf, Hamburg, Germany
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine, Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | - Jean Wactawski-Wende
- Department of Social and Preventive Medicine, University at Buffalo, Buffalo, New York, USA
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Herbert Yu
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Anne Zeleniuch-Jacquotte
- Department of Environmental Medicine, New York University School of Medicine, New York, New York, USA
- New York University Cancer Institute, New York, New York, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Harvey A. Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA
| | - Eric J. Jacobs
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA
| | - Charles Fuchs
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts, USA
| | - Robert Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Patricia Hartge
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Gloria M. Petersen
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Rachael S. Stolzenberg-Solomon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Brian M. Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Alison P. Klein
- Department of Oncology, the Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Epidemiology, the Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Laufey T. Amundadottir
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
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Yu H, Frank C, Sundquist J, Hemminki A, Hemminki K. Common cancers share familial susceptibility: implications for cancer genetics and counselling. J Med Genet 2016; 54:248-253. [DOI: 10.1136/jmedgenet-2016-103932] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Revised: 08/29/2016] [Accepted: 08/30/2016] [Indexed: 01/17/2023]
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Poulos RC, Sloane MA, Hesson LB, Wong JWH. The search for cis-regulatory driver mutations in cancer genomes. Oncotarget 2016; 6:32509-25. [PMID: 26356674 PMCID: PMC4741709 DOI: 10.18632/oncotarget.5085] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2015] [Accepted: 08/06/2015] [Indexed: 12/16/2022] Open
Abstract
With the advent of high-throughput and relatively inexpensive whole-genome sequencing technology, the focus of cancer research has begun to shift toward analyses of somatic mutations in non-coding cis-regulatory elements of the cancer genome. Cis-regulatory elements play an important role in gene regulation, with mutations in these elements potentially resulting in changes to the expression of linked genes. The recent discoveries of recurrent TERT promoter mutations in melanoma, and recurrent mutations that create a super-enhancer regulating TAL1 expression in T-cell acute lymphoblastic leukaemia (T-ALL), have sparked significant interest in the search for other somatic cis-regulatory mutations driving cancer development. In this review, we look more closely at the TERT promoter and TAL1 enhancer alterations and use these examples to ask whether other cis-regulatory mutations may play a role in cancer susceptibility. In doing so, we make observations from the data emerging from recent research in this field, and describe the experimental and analytical approaches which could be adopted in the hope of better uncovering the true functional significance of somatic cis-regulatory mutations in cancer.
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Affiliation(s)
- Rebecca C Poulos
- Prince of Wales Clinical School and Lowy Cancer Research Centre, UNSW Australia, Sydney, Australia
| | - Mathew A Sloane
- Prince of Wales Clinical School and Lowy Cancer Research Centre, UNSW Australia, Sydney, Australia
| | - Luke B Hesson
- Prince of Wales Clinical School and Lowy Cancer Research Centre, UNSW Australia, Sydney, Australia
| | - Jason W H Wong
- Prince of Wales Clinical School and Lowy Cancer Research Centre, UNSW Australia, Sydney, Australia
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Abstract
Enhancer elements function as the logic gates of the genetic regulatory circuitry. One of their most important functions is the integration of extracellular signals with intracellular cell fate information to generate cell type-specific transcriptional responses. Mutations occurring in cancer often misregulate enhancers that normally control the signal-dependent expression of growth-related genes. This misregulation can result from trans-acting mechanisms, such as activation of the transcription factors or epigenetic regulators that control enhancer activity, or can be caused in cis by direct mutations that alter the activity of the enhancer or its target gene specificity. These processes can generate tumour type-specific super-enhancers and establish a 'locked' gene regulatory state that drives the uncontrolled proliferation of cancer cells. Here, we review the role of enhancers in cancer, and their potential as therapeutic targets.
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Affiliation(s)
- Inderpreet Sur
- Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, and Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm SE-171 77, Sweden
| | - Jussi Taipale
- Division of Functional Genomics and Systems Biology, Department of Medical Biochemistry and Biophysics, and Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm SE-171 77, Sweden
- Genome-Scale Biology Program, University of Helsinki, Biomedicum, PO Box 63, Helsinki 00014, Finland
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30
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Jakobsen U, Vogel S. Mismatch discrimination of lipidated DNA and LNA-probes (LiNAs) in hybridization-controlled liposome assembly. Org Biomol Chem 2016; 14:6985-95. [PMID: 27356098 DOI: 10.1039/c6ob01120a] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Assays for mismatch discrimination and detection of single nucleotide variations by hybridization-controlled assembly of liposomes, which do not require tedious surface chemistry, are versatile for both DNA and RNA targets. We report herein a comprehensive study on different DNA and LNA (locked nucleic acids) probe designs, including membrane-anchoring requirements, studies on different probes and target lengths (including overhangs), DNA and RNA targets (including sequences associated with pathogens) for lipidated nucleic acids (LiNAs). Advantages and limitations of the liposome assembly based assay in the context of mismatch discrimination and SNP detection are presented. The advantages of membrane-anchored LiNA-probes compared to chemically attached probes on solid nanoparticles (e.g. gold nanoparticles) are described. Key functionalities such as non-covalent attachment of LiNA probes without the need for long spacers and the inherent mobility of membrane-anchored probes in lipid-bilayer membranes will be described for several different probe designs.
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Affiliation(s)
- Ulla Jakobsen
- University of Southern Denmark, Department of Physics, Chemistry and Pharmacy, Campusvej 55, 5230 Odense M, Denmark.
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31
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Abstract
Cardiovascular disease (CVD) and cancer are the 2 leading causes of death worldwide. Although commonly thought of as 2 separate disease entities, CVD and cancer possess various similarities and possible interactions, including a number of similar risk factors (eg, obesity, diabetes mellitus), suggesting a shared biology for which there is emerging evidence. Although chronic inflammation is an indispensable feature of the pathogenesis and progression of both CVD and cancer, additional mechanisms can be found at their intersection. Therapeutic advances, despite improving longevity, have increased the overlap between these diseases, with millions of cancer survivors now at risk of developing CVD. Cardiac risk factors have a major impact on subsequent treatment-related cardiotoxicity. In this review, we explore the risk factors common to both CVD and cancer, highlighting the major epidemiological studies and potential biological mechanisms that account for them.
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Affiliation(s)
- Ryan J Koene
- From Department of Medicine, Division of Cardiovascular Medicine, University of Minnesota, Minneapolis (R.J.K., S.H.K.); Department of Epidemiology and Community Health, University of Minnesota, Minneapolis (A.E.P.); Department of Medicine, Division of Oncology, University of Minnesota, Minneapolis (A.B.); and Masonic Cancer Center, University of Minnesota, Minneapolis (A.E.P.).
| | - Anna E Prizment
- From Department of Medicine, Division of Cardiovascular Medicine, University of Minnesota, Minneapolis (R.J.K., S.H.K.); Department of Epidemiology and Community Health, University of Minnesota, Minneapolis (A.E.P.); Department of Medicine, Division of Oncology, University of Minnesota, Minneapolis (A.B.); and Masonic Cancer Center, University of Minnesota, Minneapolis (A.E.P.)
| | - Anne Blaes
- From Department of Medicine, Division of Cardiovascular Medicine, University of Minnesota, Minneapolis (R.J.K., S.H.K.); Department of Epidemiology and Community Health, University of Minnesota, Minneapolis (A.E.P.); Department of Medicine, Division of Oncology, University of Minnesota, Minneapolis (A.B.); and Masonic Cancer Center, University of Minnesota, Minneapolis (A.E.P.)
| | - Suma H Konety
- From Department of Medicine, Division of Cardiovascular Medicine, University of Minnesota, Minneapolis (R.J.K., S.H.K.); Department of Epidemiology and Community Health, University of Minnesota, Minneapolis (A.E.P.); Department of Medicine, Division of Oncology, University of Minnesota, Minneapolis (A.B.); and Masonic Cancer Center, University of Minnesota, Minneapolis (A.E.P.)
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32
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Abstract
It is increasingly evident that many of the genomic mutations in cancer reside inside regions that do not encode proteins. However, these regions are often transcribed into long noncoding RNAs (lncRNAs). The recent application of next-generation sequencing to a growing number of cancer transcriptomes has indeed revealed thousands of lncRNAs whose aberrant expression is associated with different cancer types. Among the few that have been functionally characterized, several have been linked to malignant transformation. Notably, these lncRNAs have key roles in gene regulation and thus affect various aspects of cellular homeostasis, including proliferation, survival, migration or genomic stability. This review aims to summarize current knowledge of lncRNAs from the cancer perspective. It discusses the strategies that led to the identification of cancer-related lncRNAs and the methodologies and challenges involving the study of these molecules, as well as the imminent applications of these findings to the clinic.
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33
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Wang M, Du M, Ma L, Chu H, Lv Q, Ye D, Guo J, Gu C, Xia G, Zhu Y, Ding Q, Yuan L, Fu G, Tong N, Qin C, Yin C, Xu J, Zhang Z. A functional variant in TP63 at 3q28 associated with bladder cancer risk by creating an miR-140-5p binding site. Int J Cancer 2016; 139:65-74. [PMID: 26695686 DOI: 10.1002/ijc.29978] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2015] [Revised: 10/02/2015] [Accepted: 12/09/2015] [Indexed: 02/03/2023]
Abstract
The first genome-wide association study (GWAS) for bladder cancer has identified a susceptibility locus at 3q28 in the European ancestry. However, the causal variant at 3q28 remains unknown. We conducted a three-stage fine mapping study to identify potential causal variants in the region. A total of 41 single nucleotide polymorphisms (SNPs) across 120 kb at 3q28 were tested for association with bladder cancer risk among 3,094 bladder cancer cases and 3,738 controls. Resequencing and functional assays were further evaluated. The SNP rs35592567 in the 3'-UTR of TP63 was consistently associated with bladder cancer risk in all three stages. In the combined analysis, the T allele of rs35592567 was significantly associated with a decreased risk for bladder cancer (OR = 0.82, 95% CI = 0.75-0.90, P = 9.797 × 10(-6) in the additive model). Biochemical assays revealed that the T allele reduced the post-transcriptional levels of TP63 mediated by interfering binding efficiency of miR-140-5p. In addition, overexpression of miR-140-5p inhibited bladder cancer cell proliferation and attenuated cell migration, invasion and G1 cell-cycle arrest. Together, these results suggest that rs35592567 in TP63 may be a novel causal variant contributing to the susceptibility to bladder cancer, which provides additional insight into the pathogenesis of bladder carcinogenesis.
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Affiliation(s)
- Meilin Wang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Nanjing Medical University, Nanjing, China.,Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Mulong Du
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Nanjing Medical University, Nanjing, China
| | - Lan Ma
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Nanjing Medical University, Nanjing, China
| | - Haiyan Chu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Nanjing Medical University, Nanjing, China
| | - Qiang Lv
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Dingwei Ye
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jianming Guo
- Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Chengyuan Gu
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, China
| | - Guowei Xia
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yao Zhu
- Department of Urology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qiang Ding
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Lin Yuan
- Department of Urology, Jiangsu Province Hospital of TCM, Nanjing, China
| | - Guangbo Fu
- Department of Urology, The Huai-An First Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Na Tong
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Nanjing Medical University, Nanjing, China
| | - Chao Qin
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Changjun Yin
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jianfeng Xu
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhengdong Zhang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Nanjing Medical University, Nanjing, China.,Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
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34
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Zhang P, Zhong K, Shahid MQ, Tong H. Association Analysis in Rice: From Application to Utilization. FRONTIERS IN PLANT SCIENCE 2016; 7:1202. [PMID: 27582745 PMCID: PMC4987372 DOI: 10.3389/fpls.2016.01202] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Accepted: 07/28/2016] [Indexed: 05/03/2023]
Abstract
Association analysis based on linkage disequilibrium (LD) is an efficient way to dissect complex traits and to identify gene functions in rice. Although association analysis is an effective way to construct fine maps for quantitative traits, there are a few issues which need to be addressed. In this review, we will first summarize type, structure, and LD level of populations used for association analysis of rice, and then discuss the genotyping methods and statistical approaches used for association analysis in rice. Moreover, we will review current shortcomings and benefits of association analysis as well as specific types of future research to overcome these shortcomings. Furthermore, we will analyze the reasons for the underutilization of the results within association analysis in rice breeding.
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Affiliation(s)
- Peng Zhang
- State Key Laboratory of Rice Biology, China National Rice Research InstituteHangzhou, China
- *Correspondence: Peng Zhang
| | - Kaizhen Zhong
- State Key Laboratory of Rice Biology, China National Rice Research InstituteHangzhou, China
| | - Muhammad Qasim Shahid
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural UniversityGuangzhou, China
| | - Hanhua Tong
- State Key Laboratory of Rice Biology, China National Rice Research InstituteHangzhou, China
- Hanhua Tong
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35
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Oldridge DA, Wood AC, Weichert-Leahey N, Crimmins I, Sussman R, Winter C, McDaniel LD, Diamond M, Hart LS, Zhu S, Durbin AD, Abraham BJ, Anders L, Tian L, Zhang S, Wei JS, Khan J, Bramlett K, Rahman N, Capasso M, Iolascon A, Gerhard DS, Guidry Auvil JM, Young RA, Hakonarson H, Diskin SJ, Look AT, Maris JM. Genetic predisposition to neuroblastoma mediated by a LMO1 super-enhancer polymorphism. Nature 2015; 528:418-21. [PMID: 26560027 PMCID: PMC4775078 DOI: 10.1038/nature15540] [Citation(s) in RCA: 222] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2015] [Accepted: 09/02/2015] [Indexed: 12/30/2022]
Abstract
Neuroblastoma is a paediatric malignancy that typically arises in early childhood, and is derived from the developing sympathetic nervous system. Clinical phenotypes range from localized tumours with excellent outcomes to widely metastatic disease in which long-term survival is approximately 40% despite intensive therapy. A previous genome-wide association study identified common polymorphisms at the LMO1 gene locus that are highly associated with neuroblastoma susceptibility and oncogenic addiction to LMO1 in the tumour cells. Here we investigate the causal DNA variant at this locus and the mechanism by which it leads to neuroblastoma tumorigenesis. We first imputed all possible genotypes across the LMO1 locus and then mapped highly associated single nucleotide polymorphism (SNPs) to areas of chromatin accessibility, evolutionary conservation and transcription factor binding sites. We show that SNP rs2168101 G>T is the most highly associated variant (combined P = 7.47 × 10(-29), odds ratio 0.65, 95% confidence interval 0.60-0.70), and resides in a super-enhancer defined by extensive acetylation of histone H3 lysine 27 within the first intron of LMO1. The ancestral G allele that is associated with tumour formation resides in a conserved GATA transcription factor binding motif. We show that the newly evolved protective TATA allele is associated with decreased total LMO1 expression (P = 0.028) in neuroblastoma primary tumours, and ablates GATA3 binding (P < 0.0001). We demonstrate allelic imbalance favouring the G-containing strand in tumours heterozygous for this SNP, as demonstrated both by RNA sequencing (P < 0.0001) and reporter assays (P = 0.002). These findings indicate that a recently evolved polymorphism within a super-enhancer element in the first intron of LMO1 influences neuroblastoma susceptibility through differential GATA transcription factor binding and direct modulation of LMO1 expression in cis, and this leads to an oncogenic dependency in tumour cells.
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Affiliation(s)
- Derek A Oldridge
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
- Medical Scientist Training Program, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Andrew C Wood
- Department of Molecular Medicine and Pathology, University of Auckland, Auckland, Auckland Region 1142, New Zealand
| | - Nina Weichert-Leahey
- Department of Pediatric Oncology, Dana Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts 02215, USA
- Division of Pediatric Hematology/Oncology, Boston Children's Hospital, Boston, Massachusetts 02115, USA
| | - Ian Crimmins
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Robyn Sussman
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Cynthia Winter
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Lee D McDaniel
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Maura Diamond
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Lori S Hart
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Shizhen Zhu
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, Minnesota 55905, USA
| | - Adam D Durbin
- Department of Pediatric Oncology, Dana Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts 02215, USA
- Division of Pediatric Hematology/Oncology, Boston Children's Hospital, Boston, Massachusetts 02115, USA
| | - Brian J Abraham
- Whitehead Institute for Biomedical Research and MIT, Boston, Massachusetts 02142, USA
| | - Lars Anders
- Whitehead Institute for Biomedical Research and MIT, Boston, Massachusetts 02142, USA
| | - Lifeng Tian
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Shile Zhang
- Pediatric Oncology Branch, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Jun S Wei
- Pediatric Oncology Branch, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Javed Khan
- Pediatric Oncology Branch, National Cancer Institute, Bethesda, Maryland 20892, USA
| | | | | | - Mario Capasso
- University of Naples Federico II, 80131 Naples, Italy
- CEINGE Biotecnologie Avanzate, 80131 Naples, Italy
| | - Achille Iolascon
- University of Naples Federico II, 80131 Naples, Italy
- CEINGE Biotecnologie Avanzate, 80131 Naples, Italy
| | - Daniela S Gerhard
- Office of Cancer Genomics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Jaime M Guidry Auvil
- Office of Cancer Genomics, National Cancer Institute, Bethesda, Maryland 20892, USA
| | - Richard A Young
- Whitehead Institute for Biomedical Research and MIT, Boston, Massachusetts 02142, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Sharon J Diskin
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
- Abramson Family Cancer Research Institute, Philadelphia, Pennsylvania 19104, USA
| | - A Thomas Look
- Department of Pediatric Oncology, Dana Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts 02215, USA
- Division of Pediatric Hematology/Oncology, Boston Children's Hospital, Boston, Massachusetts 02115, USA
| | - John M Maris
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
- Abramson Family Cancer Research Institute, Philadelphia, Pennsylvania 19104, USA
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36
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Kar SP, Tyrer JP, Li Q, Lawrenson K, Aben KKH, Anton-Culver H, Antonenkova N, Chenevix-Trench G, Baker H, Bandera EV, Bean YT, Beckmann MW, Berchuck A, Bisogna M, Bjørge L, Bogdanova N, Brinton L, Brooks-Wilson A, Butzow R, Campbell I, Carty K, Chang-Claude J, Chen YA, Chen Z, Cook LS, Cramer D, Cunningham JM, Cybulski C, Dansonka-Mieszkowska A, Dennis J, Dicks E, Doherty JA, Dörk T, du Bois A, Dürst M, Eccles D, Easton DF, Edwards RP, Ekici AB, Fasching PA, Fridley BL, Gao YT, Gentry-Maharaj A, Giles GG, Glasspool R, Goode EL, Goodman MT, Grownwald J, Harrington P, Harter P, Hein A, Heitz F, Hildebrandt MAT, Hillemanns P, Hogdall E, Hogdall CK, Hosono S, Iversen ES, Jakubowska A, Paul J, Jensen A, Ji BT, Karlan BY, Kjaer SK, Kelemen LE, Kellar M, Kelley J, Kiemeney LA, Krakstad C, Kupryjanczyk J, Lambrechts D, Lambrechts S, Le ND, Lee AW, Lele S, Leminen A, Lester J, Levine DA, Liang D, Lissowska J, Lu K, Lubinski J, Lundvall L, Massuger L, Matsuo K, McGuire V, McLaughlin JR, McNeish IA, Menon U, Modugno F, Moysich KB, Narod SA, Nedergaard L, Ness RB, Nevanlinna H, Odunsi K, Olson SH, Orlow I, Orsulic S, Weber RP, Pearce CL, Pejovic T, Pelttari LM, Permuth-Wey J, Phelan CM, Pike MC, Poole EM, Ramus SJ, Risch HA, Rosen B, Rossing MA, Rothstein JH, Rudolph A, Runnebaum IB, Rzepecka IK, Salvesen HB, Schildkraut JM, Schwaab I, Shu XO, Shvetsov YB, Siddiqui N, Sieh W, Song H, Southey MC, Sucheston-Campbell LE, Tangen IL, Teo SH, Terry KL, Thompson PJ, Timorek A, Tsai YY, Tworoger SS, van Altena AM, Van Nieuwenhuysen E, Vergote I, Vierkant RA, Wang-Gohrke S, Walsh C, Wentzensen N, Whittemore AS, Wicklund KG, Wilkens LR, Woo YL, Wu X, Wu A, Yang H, Zheng W, Ziogas A, Sellers TA, Monteiro ANA, Freedman ML, Gayther SA, Pharoah PDP. Network-Based Integration of GWAS and Gene Expression Identifies a HOX-Centric Network Associated with Serous Ovarian Cancer Risk. Cancer Epidemiol Biomarkers Prev 2015; 24:1574-84. [PMID: 26209509 PMCID: PMC4592449 DOI: 10.1158/1055-9965.epi-14-1270] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2014] [Accepted: 06/29/2015] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) have so far reported 12 loci associated with serous epithelial ovarian cancer (EOC) risk. We hypothesized that some of these loci function through nearby transcription factor (TF) genes and that putative target genes of these TFs as identified by coexpression may also be enriched for additional EOC risk associations. METHODS We selected TF genes within 1 Mb of the top signal at the 12 genome-wide significant risk loci. Mutual information, a form of correlation, was used to build networks of genes strongly coexpressed with each selected TF gene in the unified microarray dataset of 489 serous EOC tumors from The Cancer Genome Atlas. Genes represented in this dataset were subsequently ranked using a gene-level test based on results for germline SNPs from a serous EOC GWAS meta-analysis (2,196 cases/4,396 controls). RESULTS Gene set enrichment analysis identified six networks centered on TF genes (HOXB2, HOXB5, HOXB6, HOXB7 at 17q21.32 and HOXD1, HOXD3 at 2q31) that were significantly enriched for genes from the risk-associated end of the ranked list (P < 0.05 and FDR < 0.05). These results were replicated (P < 0.05) using an independent association study (7,035 cases/21,693 controls). Genes underlying enrichment in the six networks were pooled into a combined network. CONCLUSION We identified a HOX-centric network associated with serous EOC risk containing several genes with known or emerging roles in serous EOC development. IMPACT Network analysis integrating large, context-specific datasets has the potential to offer mechanistic insights into cancer susceptibility and prioritize genes for experimental characterization.
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Affiliation(s)
- Siddhartha P Kar
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.
| | - Jonathan P Tyrer
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Qiyuan Li
- Department of Medical Oncology, The Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kate Lawrenson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California
| | - Katja K H Aben
- Radboud University Medical Centre, Radboud Institute for Health Sciences, Nijmegen, the Netherlands. Comprehensive Cancer Center The Netherlands, Utrecht, the Netherlands
| | - Hoda Anton-Culver
- Department of Epidemiology, Director of Genetic Epidemiology Research Institute, School of Medicine, University of California Irvine, Irvine, California
| | - Natalia Antonenkova
- Byelorussian Institute for Oncology and Medical Radiology Aleksandrov N.N., Minsk, Belarus
| | | | - Helen Baker
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Elisa V Bandera
- Cancer Prevention and Control, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey
| | - Yukie T Bean
- Department of Obstetrics and Gynecology, Oregon Health and Science University, Portland, Oregon. Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon
| | - Matthias W Beckmann
- University Hospital Erlangen, Department of Gynecology and Obstetrics, Friedrich-Alexander-University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Andrew Berchuck
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, North Carolina
| | - Maria Bisogna
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Line Bjørge
- Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway. Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Natalia Bogdanova
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Louise Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Angela Brooks-Wilson
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada. Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Ralf Butzow
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, HUS, Finland. Department of Pathology, Helsinki University Central Hospital, Helsinki, Finland
| | - Ian Campbell
- Cancer Genetics Laboratory, Research Division, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia. Department of Pathology, University of Melbourne, Parkville, Victoria, Australia. Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia
| | - Karen Carty
- Cancer Research UK Clinical Trials Unit, The Beatson West of Scotland Cancer Centre, Glasgow, United Kingdom
| | - Jenny Chang-Claude
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Yian Ann Chen
- Department of Biostatistics, Moffitt Cancer Center, Tampa, Florida
| | - Zhihua Chen
- Department of Biostatistics, Moffitt Cancer Center, Tampa, Florida
| | - Linda S Cook
- Division of Epidemiology and Biostatistics, Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico
| | - Daniel Cramer
- Obstetrics and Gynecology Center, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts. Harvard School of Public Health, Boston, Massachusetts
| | - Julie M Cunningham
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Cezary Cybulski
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Agnieszka Dansonka-Mieszkowska
- Department of Pathology and Laboratory Diagnostics, Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Ed Dicks
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Jennifer A Doherty
- Department of Community and Family Medicine, Section of Biostatistics & Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Andreas du Bois
- Department of Gynecology and Gynecologic Oncology, Kliniken Essen-Mitte, Essen, Germany. Department of Gynecology and Gynecologic Oncology, Dr. Horst Schmidt Kliniken Wiesbaden, Wiesbaden, Germany
| | - Matthias Dürst
- Department of Gynecology, Jena University Hospital, Friedrich Schiller University, Jena, Germany
| | - Diana Eccles
- Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, United Kingdom
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom. Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Robert P Edwards
- Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, United Kingdom. Ovarian Cancer Center of Excellence, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Arif B Ekici
- University Hospital Erlangen, Institute of Human Genetics, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
| | - Peter A Fasching
- University Hospital Erlangen, Department of Gynecology and Obstetrics, Friedrich-Alexander-University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany. University of California at Los Angeles, David Geffen School of Medicine, Department of Medicine, Division of Hematology and Oncology, Los Angeles, California
| | - Brooke L Fridley
- Biostatistics and Informatics Shared Resource, University of Kansas Medical Center, Kansas City, Kansas
| | | | - Aleksandra Gentry-Maharaj
- Women's Cancer, University College London Elizabeth Garrett Anderson Institute for Women's Health, London, United Kingdom
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Rosalind Glasspool
- Cancer Research UK Clinical Trials Unit, The Beatson West of Scotland Cancer Centre, Glasgow, United Kingdom
| | - Ellen L Goode
- Department of Health Science Research, Mayo Clinic, Rochester, Minnesota
| | - Marc T Goodman
- Cancer Prevention and Control, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California. Community and Population Health Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| | - Jacek Grownwald
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Patricia Harrington
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Philipp Harter
- Department of Gynecology and Gynecologic Oncology, Kliniken Essen-Mitte, Essen, Germany. Department of Gynecology and Gynecologic Oncology, Dr. Horst Schmidt Kliniken Wiesbaden, Wiesbaden, Germany
| | - Alexander Hein
- University Hospital Erlangen, Department of Gynecology and Obstetrics, Friedrich-Alexander-University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Florian Heitz
- Department of Gynecology and Gynecologic Oncology, Kliniken Essen-Mitte, Essen, Germany. Department of Gynecology and Gynecologic Oncology, Dr. Horst Schmidt Kliniken Wiesbaden, Wiesbaden, Germany
| | | | - Peter Hillemanns
- Departments of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany
| | - Estrid Hogdall
- Virus, Lifestyle, and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark. Molecular Unit, Department of Pathology, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Claus K Hogdall
- Department of Gynecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Satoyo Hosono
- Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan
| | - Edwin S Iversen
- Department of Statistical Science, Duke University, Durham, North Carolina
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - James Paul
- Cancer Research UK Clinical Trials Unit, The Beatson West of Scotland Cancer Centre, Glasgow, United Kingdom
| | - Allan Jensen
- Virus, Lifestyle, and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Beth Y Karlan
- Women's Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Susanne K Kjaer
- Virus, Lifestyle, and Genes, Danish Cancer Society Research Center, Copenhagen, Denmark. Department of Gynecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Linda E Kelemen
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina
| | - Melissa Kellar
- Department of Obstetrics and Gynecology, Oregon Health and Science University, Portland, Oregon. Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon
| | - Joseph Kelley
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Lambertus A Kiemeney
- Radboud University Medical Centre, Radboud Institute for Health Sciences, Nijmegen, the Netherlands
| | - Camilla Krakstad
- Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway. Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Jolanta Kupryjanczyk
- Department of Pathology and Laboratory Diagnostics, Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland
| | - Diether Lambrechts
- Vesalius Research Center, VIB, Leuven, Belgium. Laboratory for Translational Genetics, Department of Oncology, University of Leuven, Leuven, Belgium
| | - Sandrina Lambrechts
- Division of Gynecological Oncology, Department of Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Nhu D Le
- Cancer Control Research, BC Cancer Agency, Vancouver, British Columbia, Canada
| | - Alice W Lee
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California
| | - Shashi Lele
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York
| | - Arto Leminen
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, HUS, Finland
| | - Jenny Lester
- Women's Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Douglas A Levine
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Dong Liang
- College of Pharmacy and Health Sciences, Texas Southern University, Houston, Texas
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland
| | - Karen Lu
- Department of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jan Lubinski
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Lene Lundvall
- Department of Gynecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Leon Massuger
- Radboud University Medical Centre, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Keitaro Matsuo
- Department of Preventive Medicine, Kyushu University Faculty of Medical Sciences, Fukuoka, Japan
| | - Valerie McGuire
- Department of Health Research and Policy-Epidemiology, Stanford University School of Medicine, Stanford, California
| | - John R McLaughlin
- Prosserman Centre for Health Research, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Iain A McNeish
- Institute of Cancer Sciences, University of Glasgow, Wolfson Wohl Cancer Research Centre, Beatson Institute for Cancer Research, Glasgow, United Kingdom
| | - Usha Menon
- Women's Cancer, University College London Elizabeth Garrett Anderson Institute for Women's Health, London, United Kingdom
| | - Francesmary Modugno
- Ovarian Cancer Center of Excellence, University of Pittsburgh, Pittsburgh, Pennsylvania. Women's Cancer Research Program, Magee-Women's Research Institute and University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania. Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania
| | - Kirsten B Moysich
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York
| | - Steven A Narod
- Women's College Research Institute, Toronto, Ontario, Canada
| | - Lotte Nedergaard
- Department of Pathology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Roberta B Ness
- The University of Texas School of Public Health, Houston, Texas
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, HUS, Finland
| | - Kunle Odunsi
- Department of Gynecological Oncology, Roswell Park Cancer Institute, Buffalo, New York
| | - Sara H Olson
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Irene Orlow
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Sandra Orsulic
- Women's Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Rachel Palmieri Weber
- Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina
| | - Celeste Leigh Pearce
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California
| | - Tanja Pejovic
- Department of Obstetrics and Gynecology, Oregon Health and Science University, Portland, Oregon. Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon
| | - Liisa M Pelttari
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, HUS, Finland
| | | | - Catherine M Phelan
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida
| | - Malcolm C Pike
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California. Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Elizabeth M Poole
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts. Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts
| | - Susan J Ramus
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California
| | - Harvey A Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
| | - Barry Rosen
- Department of Gynecologic-Oncology, Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada. Department of Obstetrics and Gynecology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Mary Anne Rossing
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington. Department of Epidemiology, University of Washington, Seattle, Washington
| | - Joseph H Rothstein
- Department of Health Research and Policy-Epidemiology, Stanford University School of Medicine, Stanford, California
| | - Anja Rudolph
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Ingo B Runnebaum
- Department of Gynecology, Jena University Hospital, Friedrich Schiller University, Jena, Germany
| | - Iwona K Rzepecka
- Department of Pathology and Laboratory Diagnostics, Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland
| | - Helga B Salvesen
- Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway. Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Joellen M Schildkraut
- Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina. Cancer Control and Population Sciences, Duke Cancer Institute, Durham, North Carolina
| | - Ira Schwaab
- Institut für Humangenetik Wiesbaden, Wiesbaden, Germany
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Yurii B Shvetsov
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Nadeem Siddiqui
- Department of Gynaecological Oncology, Glasgow Royal Infirmary, Glasgow, United Kingdom
| | - Weiva Sieh
- Department of Health Research and Policy-Epidemiology, Stanford University School of Medicine, Stanford, California
| | - Honglin Song
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Melissa C Southey
- Department of Pathology, University of Melbourne, Parkville, Victoria, Australia
| | | | - Ingvild L Tangen
- Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway. Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Soo-Hwang Teo
- Cancer Research Initiatives Foundation, Sime Darby Medical Centre, Subang Jaya, Malaysia. University Malaya Cancer Research Institute, Faculty of Medicine, University Malaya Medical Centre, University Malaya, Kuala Lumpur, Malaysia
| | - Kathryn L Terry
- Obstetrics and Gynecology Center, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts. Harvard School of Public Health, Boston, Massachusetts
| | - Pamela J Thompson
- Cancer Prevention and Control, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California. Community and Population Health Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California
| | - Agnieszka Timorek
- Department of Obstetrics, Gynecology, and Oncology, IInd Faculty of Medicine, Warsaw Medical University and Brodnowski Hospital, Warsaw, Poland
| | - Ya-Yu Tsai
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida
| | - Shelley S Tworoger
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts. Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts
| | - Anne M van Altena
- Radboud University Medical Centre, Radboud Institute for Molecular Life Sciences, Nijmegen, the Netherlands
| | - Els Van Nieuwenhuysen
- Division of Gynecological Oncology, Department of Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Ignace Vergote
- Division of Gynecological Oncology, Department of Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Robert A Vierkant
- Department of Health Science Research, Mayo Clinic, Rochester, Minnesota
| | - Shan Wang-Gohrke
- Department of Obstetrics and Gynecology, University of Ulm, Ulm, Germany
| | - Christine Walsh
- Women's Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Alice S Whittemore
- Department of Health Research and Policy-Epidemiology, Stanford University School of Medicine, Stanford, California
| | - Kristine G Wicklund
- Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Lynne R Wilkens
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Yin-Ling Woo
- University Malaya Cancer Research Institute, Faculty of Medicine, University Malaya Medical Centre, University Malaya, Kuala Lumpur, Malaysia. Department of Obstetrics and Gynaecology, University Malaya Medical Centre, University Malaya, Kuala Lumpur, Malaysia
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Anna Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California
| | - Hannah Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Argyrios Ziogas
- Department of Epidemiology, Director of Genetic Epidemiology Research Institute, School of Medicine, University of California Irvine, Irvine, California
| | - Thomas A Sellers
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida
| | | | - Matthew L Freedman
- Department of Medical Oncology, The Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Simon A Gayther
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom. Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
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Ramachandran P, Palidwor GA, Perkins TJ. BIDCHIPS: bias decomposition and removal from ChIP-seq data clarifies true binding signal and its functional correlates. Epigenetics Chromatin 2015; 8:33. [PMID: 26388941 PMCID: PMC4574076 DOI: 10.1186/s13072-015-0028-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2015] [Accepted: 09/07/2015] [Indexed: 12/24/2022] Open
Abstract
Background Unraveling transcriptional regulatory networks is a central problem in molecular biology and, in this quest, chromatin immunoprecipitation and sequencing (ChIP-seq) technology has given us the unprecedented ability to identify sites of protein-DNA binding and histone modification genome wide. However, multiple systemic and procedural biases hinder harnessing the full potential of this technology. Previous studies have addressed this problem, but a thorough characterization of different, interacting biases on ChIP-seq signals is still lacking. Results Here, we present a novel framework where the genome-wide ChIP-seq signal is viewed as being quantifiably influenced by different, measurable sources of bias, which can then be computationally subtracted away. We use a compendium of 123 human ENCODE ChIP-seq datasets to build regression models that tell us how much of a ChIP-seq signal can be attributed to mappability, GC-content, chromatin accessibility, and factors represented in input DNA and IgG controls. When we use the model to separate out these non-binding influences from the ChIP-seq signal, we obtain a purified signal that associates better to TF-DNA-binding motifs than do other measures of peak significance. We also carry out a multiscale analysis that reveals how ChIP-seq signal biases differ across different scales. Finally, we investigate previously reported associations between gene expression and ChIP-seq signals at transcription start sites. We show that our model can be used to discriminate ChIP-seq signals that are truly related to gene expression from those that are merely correlated by virtue of bias—in particular, chromatin accessibility bias, which shows up in ChIP-seq signals and also relates to gene expression. Conclusions Our study provides new insights into the behavior of ChIP-seq signal biases and proposes a novel mitigation framework that improves results compared to existing techniques. With ChIP-seq now being the central technology for studying transcriptional regulation, it is most crucial to accurately characterize, quantify, and adjust for the genome-wide effects of biases affecting ChIP-seq. Our study also emphasizes that properly accounting for confounders in ChIP-seq data is of paramount importance for obtaining biologically accurate insights into the workings of the complex regulatory mechanisms in living organisms. R and MATLAB packages implementing the framework can be obtained from http://www.perkinslab.ca/Software.html. Electronic supplementary material The online version of this article (doi:10.1186/s13072-015-0028-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Parameswaran Ramachandran
- Regenerative Medicine Program, Ottawa Hospital Research Institute, K1H 8L6 Ottawa, Canada ; Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, K1H 8M5 Ottawa, Canada
| | - Gareth A Palidwor
- Regenerative Medicine Program, Ottawa Hospital Research Institute, K1H 8L6 Ottawa, Canada
| | - Theodore J Perkins
- Regenerative Medicine Program, Ottawa Hospital Research Institute, K1H 8L6 Ottawa, Canada ; Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, K1H 8M5 Ottawa, Canada
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Genetic Variation Determines PPARγ Function and Anti-diabetic Drug Response In Vivo. Cell 2015; 162:33-44. [PMID: 26140591 DOI: 10.1016/j.cell.2015.06.025] [Citation(s) in RCA: 95] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Revised: 03/25/2015] [Accepted: 05/21/2015] [Indexed: 12/25/2022]
Abstract
SNPs affecting disease risk often reside in non-coding genomic regions. Here, we show that SNPs are highly enriched at mouse strain-selective adipose tissue binding sites for PPARγ, a nuclear receptor for anti-diabetic drugs. Many such SNPs alter binding motifs for PPARγ or cooperating factors and functionally regulate nearby genes whose expression is strain selective and imbalanced in heterozygous F1 mice. Moreover, genetically determined binding of PPARγ accounts for mouse strain-specific transcriptional effects of TZD drugs, providing proof of concept for personalized medicine related to nuclear receptor genomic occupancy. In human fat, motif-altering SNPs cause differential PPARγ binding, provide a molecular mechanism for some expression quantitative trait loci, and are risk factors for dysmetabolic traits in genome-wide association studies. One PPARγ motif-altering SNP is associated with HDL levels and other metabolic syndrome parameters. Thus, natural genetic variation in PPARγ genomic occupancy determines individual disease risk and drug response.
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Wang J, Qiu M, Xu Y, Li M, Dong G, Mao Q, Yin R, Xu L. Long noncoding RNA CCAT2 correlates with smoking in esophageal squamous cell carcinoma. Tumour Biol 2015; 36:5523-8. [DOI: 10.1007/s13277-015-3220-x] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2014] [Accepted: 02/03/2015] [Indexed: 12/20/2022] Open
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40
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Mathelier A, Shi W, Wasserman WW. Identification of altered cis-regulatory elements in human disease. Trends Genet 2015; 31:67-76. [DOI: 10.1016/j.tig.2014.12.003] [Citation(s) in RCA: 82] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2014] [Revised: 12/19/2014] [Accepted: 12/19/2014] [Indexed: 02/01/2023]
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Ling H, Vincent K, Pichler M, Fodde R, Berindan-Neagoe I, Slack FJ, Calin GA. Junk DNA and the long non-coding RNA twist in cancer genetics. Oncogene 2015; 34:5003-11. [PMID: 25619839 PMCID: PMC4552604 DOI: 10.1038/onc.2014.456] [Citation(s) in RCA: 266] [Impact Index Per Article: 29.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2014] [Revised: 12/03/2014] [Accepted: 12/04/2014] [Indexed: 02/07/2023]
Abstract
The central dogma of molecular biology states that the flow of genetic information moves from DNA to RNA to protein. However, in the last decade this dogma has been challenged by new findings on non-coding RNAs (ncRNAs) such as microRNAs (miRNAs). More recently, long non-coding RNAs (lncRNAs) have attracted much attention due to their large number and biological significance. Many lncRNAs have been identified as mapping to regulatory elements including gene promoters and enhancers, ultraconserved regions, and intergenic regions of protein-coding genes. Yet, the biological function and molecular mechanisms of lncRNA in human diseases in general and cancer in particular remain largely unknown. Data from the literature suggest that lncRNA, often via interaction with proteins, functions in specific genomic loci or use their own transcription loci for regulatory activity. In this review, we summarize recent findings supporting the importance of DNA loci in lncRNA function, and the underlying molecular mechanisms via cis or trans regulation, and discuss their implications in cancer. In addition, we use the 8q24 genomic locus, a region containing interactive SNPs, DNA regulatory elements and lncRNAs, as an example to illustrate how single nucleotide polymorphism (SNP) located within lncRNAs may be functionally associated with the individual’s susceptibility to cancer.
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Affiliation(s)
- H Ling
- Department of Experimental Therapeutics, MD Anderson Cancer Center, University of Texas, Houston, TX, USA
| | - K Vincent
- Department of Experimental Therapeutics, MD Anderson Cancer Center, University of Texas, Houston, TX, USA
| | - M Pichler
- Department of Experimental Therapeutics, MD Anderson Cancer Center, University of Texas, Houston, TX, USA
| | - R Fodde
- Department of Pathology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - I Berindan-Neagoe
- Department of Experimental Therapeutics, MD Anderson Cancer Center, University of Texas, Houston, TX, USA.,Department of Immunology and Research Center for Functional Genomics, Biomedicine and Translational Medicine University of Medicine and Pharmacy 'I. Hatieganu', Cluj-Napoca, Romania.,Department of Functional Genomics, The Oncology Institute Ion Chiricuta, Cluj-Napoca, Romania
| | - F J Slack
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard medical School, Boston, MA, USA
| | - G A Calin
- Department of Experimental Therapeutics, MD Anderson Cancer Center, University of Texas, Houston, TX, USA
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Ueda Y, Frimpong F, Qi Y, Matthus E, Wu L, Höller S, Kraska T, Frei M. Genetic dissection of ozone tolerance in rice (Oryza sativa L.) by a genome-wide association study. JOURNAL OF EXPERIMENTAL BOTANY 2015; 66:293-306. [PMID: 25371505 PMCID: PMC4265164 DOI: 10.1093/jxb/eru419] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Tropospheric ozone causes various negative effects on plants and affects the yield and quality of agricultural crops. Here, we report a genome-wide association study (GWAS) in rice (Oryza sativa L.) to determine candidate loci associated with ozone tolerance. A diversity panel consisting of 328 accessions representing all subgroups of O. sativa was exposed to ozone stress at 60 nl l(-1) for 7h every day throughout the growth season, or to control conditions. Averaged over all genotypes, ozone significantly affected biomass-related traits (plant height -1.0%, shoot dry weight -15.9%, tiller number -8.3%, grain weight -9.3%, total panicle weight -19.7%, single panicle weight -5.5%) and biochemical/physiological traits (symptom formation, SPAD value -4.4%, foliar lignin content +3.4%). A wide range of genotypic variance in response to ozone stress were observed in all phenotypes. Association mapping based on more than 30 000 single-nucleotide polymorphism (SNP) markers yielded 16 significant markers throughout the genome by applying a significance threshold of P<0.0001. Furthermore, by determining linkage disequilibrium blocks associated with significant SNPs, we gained a total of 195 candidate genes for these traits. The following sequence analysis revealed a number of novel polymorphisms in two candidate genes for the formation of visible leaf symptoms, a RING and an EREBP gene, both of which are involved in cell death and stress defence reactions. This study demonstrated substantial natural variation of responses to ozone in rice and the possibility of using GWAS in elucidating the genetic factors underlying ozone tolerance.
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Affiliation(s)
- Yoshiaki Ueda
- Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Karlrobert-Kreiten Strasse 13, 53115 Bonn, Germany
| | - Felix Frimpong
- Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Karlrobert-Kreiten Strasse 13, 53115 Bonn, Germany
| | - Yitao Qi
- Key Laboratory of Crop Genetics & Physiology of Jiangsu Province, Yangzhou University, Yangzhou 225009, PR China
| | - Elsa Matthus
- Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Karlrobert-Kreiten Strasse 13, 53115 Bonn, Germany
| | - Linbo Wu
- Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Karlrobert-Kreiten Strasse 13, 53115 Bonn, Germany
| | - Stefanie Höller
- Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Karlrobert-Kreiten Strasse 13, 53115 Bonn, Germany
| | - Thorsten Kraska
- Campus Klein-Altendorf, University of Bonn, Klein-Altendorf 2, 53359 Rheinbach, Germany
| | - Michael Frei
- Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Karlrobert-Kreiten Strasse 13, 53115 Bonn, Germany
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43
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Abstract
Tiny changes in our genomes can enhance oncogene expression and contribute to tumorigenesis
[Also see Report by
Mansour
et al.
]
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Affiliation(s)
- Anna Vähärautio
- Genome-Scale Biology Program, University of Helsinki, Finland
| | - Jussi Taipale
- Genome-Scale Biology Program, University of Helsinki, Finland
- Science for Life Laboratory, Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
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Single nucleotide polymorphisms of the FTO gene and cancer risk: an overview. Mol Biol Rep 2014; 42:699-704. [PMID: 25387436 DOI: 10.1007/s11033-014-3817-y] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2013] [Accepted: 11/05/2014] [Indexed: 12/19/2022]
Abstract
The FTO (fat mass and obesity-associated) gene has a strong linkage disequilibrium block, within which SNPs have been identified that are involved in the development of obesity. Recently some of these variants have also been associated with cancer. However, identification of the possible mechanisms that could explain these associations has proven to be elusive. It has been found that FTO polymorphisms can regulate the expression of genes at large kilobases of distance as well as the expression of the FTO gene itself, and regions for transcription factor binding. To date it has been observed that variants rs9939609, rs17817449, rs8050136, rs1477196, rs6499640, rs16953002, rs11075995 and rs1121980 are associated with the risk of developing cancer. Some studies have produced negative results when comparing the same polymorphisms, but make a simple association between polymorphic variants and cancer, have proved difficult because this relation is by nature multifactorial. A certain degree of variation resulting from the improper design of studies or processing of data can lead to erroneous conclusions. However, it is now unquestionable that certain FTO polymorphisms regulate genetic expression related to cancer susceptibility, although this field is just beginning to be understood.
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Gopalakrishnan K, Kumarasamy S, Mell B, Joe B. Genome-wide identification of long noncoding RNAs in rat models of cardiovascular and renal disease. Hypertension 2014; 65:200-10. [PMID: 25385761 DOI: 10.1161/hypertensionaha.114.04498] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Long noncoding RNAs (lncRNAs) are an emerging class of genomic regulatory molecules reported in various species. In the rat, which is one of the major mammalian model organisms, discovery of lncRNAs on a genome-wide scale is lagging. Renal lncRNA sequencing and lncRNA transcriptome analysis were conducted in 3 rat strains that are widely used in cardiovascular and renal research: the Dahl salt-sensitive rat, the spontaneously hypertensive rat, and the Dahl salt-resistant rat. Through the RNA sequencing approach, 3273 transcripts were identified as rat lncRNAs. A majority of lncRNAs were without predicted target genes. Differential expression of 273 and 749 lncRNAs was detected between Dahl salt-sensitive versus Dahl salt-resistant and Dahl salt-sensitive versus spontaneously hypertensive rat comparisons, respectively. To couple the observed differential expression of lncRNAs with the status of mRNAs, an mRNA transcriptome analysis was conducted. Several cis mRNA genes were coregulated with lncRNAs. Of these, the protein expression status of 4 target genes, Asb3, Chac2, Pex11b, and Sp5, were differentially expressed between the relevant strain comparisons, thereby suggesting that the differentially expressed lncRNAs associated with these genes are candidate genetic determinants of blood pressure. This study serves as a first-generation catalog of rat lncRNAs and illustrates the prioritization of lncRNAs as candidates for complex polygenic traits.
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Affiliation(s)
- Kathirvel Gopalakrishnan
- From the Program in Physiological Genomics, Center for Hypertension and Personalized Medicine, Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, OH
| | - Sivarajan Kumarasamy
- From the Program in Physiological Genomics, Center for Hypertension and Personalized Medicine, Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, OH
| | - Blair Mell
- From the Program in Physiological Genomics, Center for Hypertension and Personalized Medicine, Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, OH
| | - Bina Joe
- From the Program in Physiological Genomics, Center for Hypertension and Personalized Medicine, Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, OH.
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46
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Szyfter K, Wierzbicka M, Hunt JL, Rinaldo A, Rodrigo JP, Takes RP, Ferlito A. Frequent chromosomal aberrations and candidate genes in head and neck squamous cell carcinoma. Eur Arch Otorhinolaryngol 2014; 273:537-45. [PMID: 25355032 DOI: 10.1007/s00405-014-3339-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2014] [Accepted: 10/14/2014] [Indexed: 12/21/2022]
Abstract
The knowledge of the biology of head and neck squamous cell carcinoma (HNSCC) has had relatively little impact on the improvement in oncologic outcome up to date. However, the identification of oncogenes and tumor suppressor genes (TSGs) involved in cancer progression contributes to the understanding of the molecular pathways involved in oncogenesis and could contribute to individual risk assessment and provide tools for improvement of treatment and targets for therapy based on the alterations in these pathways. The aim of this article is to review the chromosomal aberrations commonly found in HNSCC, to identify the genes in these chromosomal regions suggested to act as (candidate) oncogenes or TSGs, and to discuss the molecular mechanisms modulating their expression.
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Affiliation(s)
- Krzysztof Szyfter
- Institute of Human Genetics, Polish Academy of Sciences, Poznan, Poland
| | - Malgorzata Wierzbicka
- Department of Otolaryngology and Laryngeal Oncology, K. Marcinkowski University of Medical Sciences, Poznan, Poland
| | - Jennifer L Hunt
- Department of Pathology and Laboratory Services, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | | | - Juan P Rodrigo
- Department of Otolaryngology, Hospital Universitario Central de Asturias, Oviedo, Spain.,Instituto Universitario de Oncología del Principado de Asturias, Oviedo, Spain
| | - Robert P Takes
- Department of Otolaryngology Head and Neck Surgery, Radboud University Medicine Center, Nijmegen, The Netherlands
| | - Alfio Ferlito
- University of Udine School of Medicine, Udine, Italy.
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47
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Du M, Yuan T, Schilter KF, Dittmar RL, Mackinnon A, Huang X, Tschannen M, Worthey E, Jacob H, Xia S, Gao J, Tillmans L, Lu Y, Liu P, Thibodeau SN, Wang L. Prostate cancer risk locus at 8q24 as a regulatory hub by physical interactions with multiple genomic loci across the genome. Hum Mol Genet 2014; 24:154-66. [PMID: 25149474 DOI: 10.1093/hmg/ddu426] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Chromosome 8q24 locus contains regulatory variants that modulate genetic risk to various cancers including prostate cancer (PC). However, the biological mechanism underlying this regulation is not well understood. Here, we developed a chromosome conformation capture (3C)-based multi-target sequencing technology and systematically examined three PC risk regions at the 8q24 locus and their potential regulatory targets across human genome in six cell lines. We observed frequent physical contacts of this risk locus with multiple genomic regions, in particular, inter-chromosomal interaction with CD96 at 3q13 and intra-chromosomal interaction with MYC at 8q24. We identified at least five interaction hot spots within the predicted functional regulatory elements at the 8q24 risk locus. We also found intra-chromosomal interaction genes PVT1, FAM84B and GSDMC and inter-chromosomal interaction gene CXorf36 in most of the six cell lines. Other gene regions appeared to be cell line-specific, such as RRP12 in LNCaP, USP14 in DU-145 and SMIN3 in lymphoblastoid cell line. We further found that the 8q24 functional domains more likely interacted with genomic regions containing genes enriched in critical pathways such as Wnt signaling and promoter motifs such as E2F1 and TCF3. This result suggests that the risk locus may function as a regulatory hub by physical interactions with multiple genes important for prostate carcinogenesis. Further understanding genetic effect and biological mechanism of these chromatin interactions will shed light on the newly discovered regulatory role of the risk locus in PC etiology and progression.
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Affiliation(s)
- Meijun Du
- Department of Pathology and Cancer Center
| | | | | | | | | | | | | | | | | | - Shu Xia
- Department of Pathology and Cancer Center Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jianzhong Gao
- Beijing 3H Medical Technology Co. Ltd., Beijing 100176, China and
| | - Lori Tillmans
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Yan Lu
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Pengyuan Liu
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Stephen N Thibodeau
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Liang Wang
- Department of Pathology and Cancer Center
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48
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Abstract
Instructions for when, where and to what level each gene should be expressed are encoded within regulatory sequences. The importance of motifs recognized by DNA-binding regulators has long been known, but their extensive characterization afforded by recent technologies only partly accounts for how regulatory instructions are encoded in the genome. Here, we review recent advances in our understanding of regulatory sequences that influence transcription and go beyond the description of motifs. We discuss how understanding different aspects of the sequence-encoded regulation can help to unravel the genotype-phenotype relationship, which would lead to a more accurate and mechanistic interpretation of personal genome sequences.
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Affiliation(s)
- Michal Levo
- Department of Molecular Cell Biology, and Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Eran Segal
- Department of Molecular Cell Biology, and Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
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49
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Validation of six genetic determinants of susceptibility to estrogen-induced mammary cancer in the rat and assessment of their relevance to breast cancer risk in humans. G3-GENES GENOMES GENETICS 2014; 4:1385-94. [PMID: 24875630 PMCID: PMC4132170 DOI: 10.1534/g3.114.011163] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
When treated with 17β-estradiol, female ACI rats (Rattus norvegicus) rapidly develop mammary cancers that share multiple phenotypes with luminal breast cancers. Seven distinct quantitative trait loci that harbor genetic determinants of susceptibility to 17β-estradiol−induced mammary cancer have been mapped in reciprocal intercrosses between susceptible ACI rats and resistant Brown Norway (BN) rats. A panel of unique congenic rat strains has now been generated and characterized to confirm the existence of these quantitative trait loci, designated Emca3 through Emca9, and to quantify their individual effects on susceptibility to 17β-estradiol−induced mammary cancer. Each congenic strain carries BN alleles spanning an individual Emca locus, introgressed onto the ACI genetic background. Data presented herein indicate that BN alleles at Emca3, Emca4, Emca5, Emca6, and Emca9 reduce susceptibility to 17β-estradiol−induced mammary cancer, whereas BN alleles at Emca7 increase susceptibility, thereby confirming the previous interval mapping data. All of these Emca loci are orthologous to regions of the human genome that have been demonstrated in genome-wide association studies to harbor genetic variants that influence breast cancer risk. Moreover, four of the Emca loci are orthologous to loci in humans that have been associated with mammographic breast density, a biomarker of breast cancer risk. This study further establishes the relevance of the ACI and derived congenic rat models of 17β-estradiol−induced mammary cancer for defining the genetic bases of breast cancer susceptibility and elucidating the mechanisms through which 17β-estradiol contributes to breast cancer development.
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50
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Myc induced replicative stress response: How to cope with it and exploit it. BIOCHIMICA ET BIOPHYSICA ACTA-GENE REGULATORY MECHANISMS 2014; 1849:517-24. [PMID: 24735945 DOI: 10.1016/j.bbagrm.2014.04.008] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2014] [Revised: 04/07/2014] [Accepted: 04/08/2014] [Indexed: 11/21/2022]
Abstract
Myc is a cellular oncogene frequently deregulated in cancer that has the ability to stimulate cellular growth by promoting a number of proliferative and pro-survival pathways. Here we will focus on how Myc controls a number of diverse cellular processes that converge to ensure processivity and robustness of DNA synthesis, thus preventing the inherent replicative stress responses usually evoked by oncogenic lesions. While these processes provide cancer cells with a long-term proliferative advantage, they also represent cancer liabilities that can be exploited to devise innovative therapeutic approaches to target Myc overexpressing tumors. This article is part of a Special Issue entitled: Myc proteins in cell biology and pathology.
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