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Huang M, Wang J, Zhang Z, Zuo X. ZMIZ1 Regulates Proliferation, Autophagy and Apoptosis of Colon Cancer Cells by Mediating Ubiquitin-Proteasome Degradation of SIRT1. Biochem Genet 2024:10.1007/s10528-023-10573-9. [PMID: 38214831 DOI: 10.1007/s10528-023-10573-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 10/26/2023] [Indexed: 01/13/2024]
Abstract
There are nearly 1.15 million new cases of colon cancer, as well as 586,858 deaths from colon cancer worldwide in 2020. The aim of this study is to reveal whether ZMIZ1 can control the fate of colon cancer cells and the mechanism by which it functions. Specific shRNA transfection was used to knock down the expression of ZMIZ1 in colon cancer cell lines (HCT116 and HT29), and cell proliferation was detected using EdU and CCK-8 reagents, apoptosis by flow cytometry, and autophagy by western blot. The interaction of ZMIZ1 and SIRT1 was analyzed. Knockdown of ZMIZ1 significantly inhibited autophagy and proliferation, and induced apoptosis of HCT116 and HT29 cells. The mRNA level of SIRT1 was not affected by ZMIZ1 knockdown, but the protein level of SIRT1 was significantly decreased and the protein level of the SIRT1-specific substrate, acetylated FOXO3a, was reduced. Immunoprecipitation assays identified the interaction between SIRT1 and ZMIZ1 in HCT116 and HT29 cells. ZMIZ1 increased intracellular ubiquitination of SIRT1. Knockdown or pharmacological inhibition of SIRT1 neutralized the effects of ZMIZ knockdown on proliferation, autophagy and apoptosis in HCT116 and HT29 cells. ZMIZ1 may control the fate of colon cancer cells through the SIRT1/FOXO3a axis. Targeting ZMIZ1 would be beneficial for the treatment of colon cancer.
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Affiliation(s)
- Min Huang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Wannan Medical College, No.2 Zheshan West Road, Wuhu, 241000, Anhui, China.
| | - Junfeng Wang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Wannan Medical College, No.2 Zheshan West Road, Wuhu, 241000, Anhui, China
| | - Zhengrong Zhang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Wannan Medical College, No.2 Zheshan West Road, Wuhu, 241000, Anhui, China
| | - Xueliang Zuo
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Wannan Medical College, No.2 Zheshan West Road, Wuhu, 241000, Anhui, China
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2
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Zhou X, Xiao Q, Jiang F, Sun J, Wang L, Yu L, Zhou Y, Zhao J, Zhang H, Yuan S, Timofeeva M, Spiliopoulou A, Mesa-Eguiagaray I, Farrington SM, Law PJ, Houlston RS, Ding K, Dunlop MG, Theodoratou E, Li X. Dissecting the pathogenic effects of smoking and its hallmarks in blood DNA methylation on colorectal cancer risk. Br J Cancer 2023; 129:1306-1313. [PMID: 37608097 PMCID: PMC10576058 DOI: 10.1038/s41416-023-02397-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 07/30/2023] [Accepted: 08/07/2023] [Indexed: 08/24/2023] Open
Abstract
BACKGROUND Tobacco smoking is suggested as a risk factor for colorectal cancer (CRC), but the complex relationship and the potential pathway are not fully understood. METHODS We performed two-sample Mendelian randomisation (MR) analyses with genetic instruments for smoking behaviours and related DNA methylation in blood and summary-level GWAS data of colorectal cancer to disentangle the relationship. Colocalization analyses and prospective gene-environment interaction analyses were also conducted as replication. RESULTS Convincing evidence was identified for the pathogenic effect of smoking initiation on CRC risk and suggestive evidence was observed for the protective effect of smoking cessation in the univariable MR analyses. Multivariable MR analysis revealed that these associations were independent of other smoking phenotypes and alcohol drinking. Genetically predicted methylation at CpG site cg17823346 [ZMIZ1] were identified to decrease CRC risk; while genetically predicted methylation at cg02149899 would increase CRC risk. Colocalization and gene-environment interaction analyses added further evidence to the relationship between epigenetic modification at cg17823346 [ZMIZ1] as well as cg02149899 and CRC risk. DISCUSSION Our study confirms the significant association between tobacco smoking, DNA methylation and CRC risk and yields a novel insight into the pathogenic effect of tobacco smoking on CRC risk.
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Affiliation(s)
- Xuan Zhou
- Department of Big Data in Health Science School of Public Health, and Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Centre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Qian Xiao
- Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Fangyuan Jiang
- Department of Big Data in Health Science School of Public Health, and Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jing Sun
- Department of Big Data in Health Science School of Public Health, and Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lijuan Wang
- Department of Big Data in Health Science School of Public Health, and Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Lili Yu
- Department of Big Data in Health Science School of Public Health, and Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yajing Zhou
- Department of Big Data in Health Science School of Public Health, and Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianhui Zhao
- Department of Big Data in Health Science School of Public Health, and Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Han Zhang
- Department of Big Data in Health Science School of Public Health, and Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Shuai Yuan
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Maria Timofeeva
- Danish Institute for Advanced Study (DIAS), Epidemiology, Biostatistics and Biodemography Research Unit, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - Athina Spiliopoulou
- Centre for Population Health Sciences, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Ines Mesa-Eguiagaray
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
- Cancer Research UK Edinburgh Cancer Research Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Susan M Farrington
- Cancer Research UK Edinburgh Cancer Research Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Philip J Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Kefeng Ding
- Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Malcolm G Dunlop
- Cancer Research UK Edinburgh Cancer Research Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Colon Cancer Genetics Group, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Evropi Theodoratou
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
- Cancer Research UK Edinburgh Cancer Research Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Xue Li
- Department of Big Data in Health Science School of Public Health, and Centre of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK.
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Zhou Y, Jin Q, Chang J, Zhao Z, Sun C. Long non-coding RNA ZMIZ1-AS1 promotes osteosarcoma progression by stabilization of ZMIZ1. Cell Biol Toxicol 2022; 38:1013-1026. [PMID: 34508303 DOI: 10.1007/s10565-021-09641-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 08/09/2021] [Indexed: 01/25/2023]
Abstract
BACKGROUND Osteosarcomas (OS) are frequent primary sarcomas of the bone in children and adolescents. The long non-coding RNAs (lncRNAs) can affect the progression of many cancers by their sense transcripts. The present study was designed to probe the role of ZMIZ1-AS1 and the downstream pathway in OS progression. METHODS Cell proliferation, invasion, and migration were detected by colony formation, transwell, and wound healing assays. The binding of SOX2 or MYC protein with ZMIZ1-AS1 promoter was explored by ChIP assay and dual-luciferase reporter assay. Interaction between PTBP1 protein and ZMIZ1-AS1 (or ZMIZ1 mRNA) was detected by RIP assay. RESULTS SOX2 and MYC are the downstream effectors of the Hippo pathway and transcriptionally activated ZMIZ1-AS1. Compared to the controls, OS tissues and cells contained higher ZMIZ1-AS1 expression. Silencing of ZMIZ1-AS1 repressed OS cell viability, proliferation, migration, and invasion. Our findings further showed that ZMIZ1-AS1 recruits RNA-binding protein PTBP1 to stabilize ZMIZ1 mRNA. PTBP1 or ZMIZ1 overexpression rescues the suppressive effects of silenced ZMIZ1-AS1 on OS cellular processes. Importantly, ZMIZ1-AS1 promotes OS growth in vivo by stabilization of ZMIZ1. CONCLUSIONS Long non-coding RNA ZMIZ1-AS1 promotes OS progression by stabilization of ZMIZ1. The Hippo pathway is inactivated in osteosarcoma. Transcriptional factors SOX2 and MYC downstream the Hippo pathway induce the upregulation of ZMIZ1-AS1 in osteosarcoma. ZMIZ1-AS1 recruits RNA binding protein PTBP1 that stabilizes ZMIZ1, the sense transcript of ZMIZ1-AS1. ZMIZ1-AS1 promotes osteosarcoma cell viability, proliferation, migration, and invasion by ZMIZ1 in a PTBP1 dependent manner.
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Affiliation(s)
- Yichi Zhou
- Department of Orthopedics, CR & WISCO General Hospital, Wuhan, 430000, Hubei, China
| | - Qi Jin
- Department of Orthopedics, CR & WISCO General Hospital, Wuhan, 430000, Hubei, China
| | - Jianzhong Chang
- Department of Orthopedics, CR & WISCO General Hospital, Wuhan, 430000, Hubei, China
| | - Zufa Zhao
- Department of Orthopedics, CR & WISCO General Hospital, Wuhan, 430000, Hubei, China
| | - Chengjun Sun
- Department of Orthopedics, CR & WISCO General Hospital, Wuhan, 430000, Hubei, China.
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Prostate Cancer Susceptibility Loci Identified in GATA2 and ZMIZ1 in Chinese Population. Int J Genomics 2022; 2022:8553530. [PMID: 35372566 PMCID: PMC8970932 DOI: 10.1155/2022/8553530] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 11/04/2021] [Accepted: 12/01/2021] [Indexed: 12/26/2022] Open
Abstract
Background Common genetic risk variants for prostate cancer (PCa) have been identified at approximately 170 loci using genome-wide association studies (GWAS), most of which were identified in European populations. Recently, GWAS were applied to a large Japanese cohort and identified 12 novel susceptibility loci associated with PCa risk. In this study, we aim to investigate PCa susceptibility loci in the Chinese population. The study data will be used to promote PCa risk control in China. Methods A total of 235 PCa patients and 252 control subjects (all unrelated) were enrolled in this case-control PCa study. Nine single nucleotide polymorphisms (SNPs) were genotyped in GATA2 (rs73862213, rs2335052, and rs10934857), ZMIZ1 (rs704017, rs77911174, and rs3740259), and SUN2 (rs78397383, rs5750680, and rs138705) genes. The associations between the candidate SNPs and PCa were analyzed using multiple-factor logistic regression and haplotype analysis. Results The allele frequency distributions of rs73862213 and rs2335052 in the GATA2 gene and rs704017 and rs77911174 in the ZMIZ1 gene were found to be significantly different between PCa cases and controls. Haplotype analysis revealed that the G-C-A haplotype of the GATA2 gene (order of SNPs: rs73862213-rs2335052-rs10934857) and the G-G-G haplotype of the ZMIZ1 gene (order of SNPs: rs704017-rs77911174-rs3740259) were associated with increased PCa risk. None of the SUN2 haplotypes were associated with PCa. Conclusions Our study data indicates that the minor alleles of rs73862213 and rs2335052 in the GATA2 gene and rs704017 and rs77911174 in the ZMIZ1 gene were associated with increased PCa risk. These findings greatly extended our knowledge of the etiology of PCa.
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Hikino K, Koido M, Otomo N, Tomizuka K, Ikegawa S, Matsuda K, Momozawa Y, Mushiroda T, Terao C. Genome-wide association study of colorectal polyps identified highly overlapping polygenic architecture with colorectal cancer. J Hum Genet 2021; 67:149-156. [PMID: 34671089 DOI: 10.1038/s10038-021-00980-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Revised: 09/04/2021] [Accepted: 09/20/2021] [Indexed: 01/02/2023]
Abstract
No genome-wide association studies (GWAS) were reported for colorectal polyps and the overlap in polygenic backgrounds conferring risk of colorectal cancer and polyps remains unclear. We performed GWAS on subjects with colorectal polyps using the BioBank Japan data with 4447 cases and 157,226 controls. We evaluated genetic correlations between colorectal polyps and cancer, and effects on colorectal polyps of single nucleotide polymorphisms (SNPs) known to be associated with colorectal cancer. We identified CUX2, a known genetic locus to colorectal cancer, as a susceptibility locus to colorectal polyps (p value = 1.1 × 10-15). Subsequent fine-mapping analysis indicated that rs11065828 in CUX2 is the causal variant for colorectal polyps. We found that known colorectal cancer-susceptible SNPs were also associated with colorectal polyps. The genetic correlation between colorectal cancer and polyps is very high (r = 0.98 and p value = 0.0006). We additionally identified 14 significant loci of colorectal polyps and three significant loci of colorectal cancer by applying the multi-trait analysis of GWAS of colorectal cancer and colorectal polyps. We showed very similar germline polygenic features, which gives us the additional insight into potential cancers at polygenic levels for patients with polyps who are followed up at outpatients' clinic; thus, close observation and polypectomy is critical to prevent colorectal cancers.
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Affiliation(s)
- Keiko Hikino
- Laboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan
| | - Masaru Koido
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan.,Division of Molecular Pathology, Institute of Medical Science, The University of Tokyo, 4-6-1, Shirokane-dai, Minato-ku, Tokyo, 108-8639, Japan
| | - Nao Otomo
- Laboratory for Bone and Joint Diseases, Center for Integrative Medical Sciences, RIKEN, Tokyo, 108-8639, Japan.,Department of Orthopedic Surgery, Keio University School of Medicine, Tokyo, 160-8582, Japan
| | - Kohei Tomizuka
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan
| | - Shiro Ikegawa
- Laboratory for Bone and Joint Diseases, Center for Integrative Medical Sciences, RIKEN, Tokyo, 108-8639, Japan
| | - Koichi Matsuda
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, 108-8639, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, Tokyo, 108-8639, Japan
| | | | - Taisei Mushiroda
- Laboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan. .,Clinical Research Center, Shizuoka General Hospital, Shizuoka, Japan. .,The Department of Applied Genetics, The School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan.
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6
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Rothzerg E, Ho XD, Xu J, Wood D, Märtson A, Kõks S. Upregulation of 15 Antisense Long Non-Coding RNAs in Osteosarcoma. Genes (Basel) 2021; 12:genes12081132. [PMID: 34440306 PMCID: PMC8394133 DOI: 10.3390/genes12081132] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 07/20/2021] [Accepted: 07/22/2021] [Indexed: 12/14/2022] Open
Abstract
The human genome encodes thousands of natural antisense long noncoding RNAs (lncRNAs); they play the essential role in regulation of gene expression at multiple levels, including replication, transcription and translation. Dysregulation of antisense lncRNAs plays indispensable roles in numerous biological progress, such as tumour progression, metastasis and resistance to therapeutic agents. To date, there have been several studies analysing antisense lncRNAs expression profiles in cancer, but not enough to highlight the complexity of the disease. In this study, we investigated the expression patterns of antisense lncRNAs from osteosarcoma and healthy bone samples (24 tumour-16 bone samples) using RNA sequencing. We identified 15 antisense lncRNAs (RUSC1-AS1, TBX2-AS1, PTOV1-AS1, UBE2D3-AS1, ERCC8-AS1, ZMIZ1-AS1, RNF144A-AS1, RDH10-AS1, TRG-AS1, GSN-AS1, HMGA2-AS1, ZNF528-AS1, OTUD6B-AS1, COX10-AS1 and SLC16A1-AS1) that were upregulated in tumour samples compared to bone sample controls. Further, we performed real-time polymerase chain reaction (RT-qPCR) to validate the expressions of the antisense lncRNAs in 8 different osteosarcoma cell lines (SaOS-2, G-292, HOS, U2-OS, 143B, SJSA-1, MG-63, and MNNG/HOS) compared to hFOB (human osteoblast cell line). These differentially expressed IncRNAs can be considered biomarkers and potential therapeutic targets for osteosarcoma.
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Affiliation(s)
- Emel Rothzerg
- School of Biomedical Sciences, The University of Western Australia, Perth, WA 6009, Australia; (E.R.); (J.X.); (D.W.)
- Perron Institute for Neurological and Translational Science, QEII Medical Centre, Nedlands, WA 6009, Australia
| | - Xuan Dung Ho
- Department of Oncology, College of Medicine and Pharmacy, Hue University, Hue 53000, Vietnam;
| | - Jiake Xu
- School of Biomedical Sciences, The University of Western Australia, Perth, WA 6009, Australia; (E.R.); (J.X.); (D.W.)
| | - David Wood
- School of Biomedical Sciences, The University of Western Australia, Perth, WA 6009, Australia; (E.R.); (J.X.); (D.W.)
| | - Aare Märtson
- Department of Traumatology and Orthopaedics, University of Tartu, Tartu University Hospital, 50411 Tartu, Estonia;
| | - Sulev Kõks
- Perron Institute for Neurological and Translational Science, QEII Medical Centre, Nedlands, WA 6009, Australia
- Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Murdoch, WA 6150, Australia
- Correspondence: ; Tel.: +61-(0)-8-6457-0313
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Li Y, He HC, Zhou DL, Liu Q, Zhang X, Yang XH, Ye ZL, Peng JL, Tang T, Su X, He CY. Associations between lncRNA-related polymorphisms and hepatocellular carcinoma risk: A two-stage case-control study. J Gastroenterol Hepatol 2021; 36:233-239. [PMID: 32453900 DOI: 10.1111/jgh.15118] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 04/12/2020] [Accepted: 05/19/2020] [Indexed: 01/22/2023]
Abstract
BACKGROUND AND AIM Single-nucleotide polymorphisms (SNPs) in long non-coding RNAs (lncRNAs) are potential biomarkers for cancer risk, but their association with hepatocellular carcinoma (HCC) is unclear. We examined the association of lncRNA-related SNPs with HCC susceptibility and explored the optimal genetic models for SNPs. METHODS Five candidate SNPs linked with digestive tumors were first genotyped in a screening population of 700 HCC and 2800 control cases. The association between each SNP and HCC risk was estimated by multivariate logistic regression adjusted by sex and age and recorded as odds ratio (OR) with 95% confidence interval. Significant associations were further tested in a validation population with 1140 HCC and 5115 control cases. Finally, the most appropriate genetic models for HCC-associated SNPs were identified using pairwise allele differences; the overall gene effects of each SNP were further evaluated based on optimal genetic models. RESULTS Three candidate SNPs, rs7315438, rs6983267, and rs10795668, showed statistical connections with HCC risk in the discovery stage. Among these, rs7315438 remained steadily significant in the validation stage; rs7315438 and rs10795668 both reached statistical threshold in the combined analysis of both stages. SNP rs7315438 (TC vs TT/CC, OR = 1.410, P < 0.001) was associated with increased risk of HCC in a complete overdominant model, whereas rs10795668 (AG vs AA/GG, OR = 0.892, P = 0.035) exerted a protective effect on HCC risk in a complete overdominant model. CONCLUSIONS Long non-coding RNA-related SNPs rs7315438 and rs10795668 are potential biomarkers for HCC susceptibility, especially when evaluated based on their optimal genetic models.
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Affiliation(s)
- Yue Li
- Department of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Hui-Chan He
- Department of Blood Transfusion, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Da-Lei Zhou
- Department of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Qing Liu
- Department of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Xiao Zhang
- Department of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Xin-Hua Yang
- Department of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Zu-Lu Ye
- Department of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Jun-Ling Peng
- Department of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Tao Tang
- Department of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Xuan Su
- Department of Head and Neck, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Cai-Yun He
- Department of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
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Archambault AN, Su YR, Jeon J, Thomas M, Lin Y, Conti DV, Win AK, Sakoda LC, Lansdorp-Vogelaar I, Peterse EFP, Zauber AG, Duggan D, Holowatyj AN, Huyghe JR, Brenner H, Cotterchio M, Bézieau S, Schmit SL, Edlund CK, Southey MC, MacInnis RJ, Campbell PT, Chang-Claude J, Slattery ML, Chan AT, Joshi AD, Song M, Cao Y, Woods MO, White E, Weinstein SJ, Ulrich CM, Hoffmeister M, Bien SA, Harrison TA, Hampe J, Li CI, Schafmayer C, Offit K, Pharoah PD, Moreno V, Lindblom A, Wolk A, Wu AH, Li L, Gunter MJ, Gsur A, Keku TO, Pearlman R, Bishop DT, Castellví-Bel S, Moreira L, Vodicka P, Kampman E, Giles GG, Albanes D, Baron JA, Berndt SI, Brezina S, Buch S, Buchanan DD, Trichopoulou A, Severi G, Chirlaque MD, Sánchez MJ, Palli D, Kühn T, Murphy N, Cross AJ, Burnett-Hartman AN, Chanock SJ, de la Chapelle A, Easton DF, Elliott F, English DR, Feskens EJM, FitzGerald LM, Goodman PJ, Hopper JL, Hudson TJ, Hunter DJ, Jacobs EJ, Joshu CE, Küry S, Markowitz SD, Milne RL, Platz EA, Rennert G, Rennert HS, Schumacher FR, Sandler RS, Seminara D, Tangen CM, Thibodeau SN, Toland AE, van Duijnhoven FJB, Visvanathan K, Vodickova L, Potter JD, Männistö S, Weigl K, Figueiredo J, Martín V, Larsson SC, Parfrey PS, Huang WY, Lenz HJ, Castelao JE, Gago-Dominguez M, Muñoz-Garzón V, Mancao C, Haiman CA, Wilkens LR, Siegel E, Barry E, Younghusband B, Van Guelpen B, Harlid S, Zeleniuch-Jacquotte A, Liang PS, Du M, Casey G, Lindor NM, Le Marchand L, Gallinger SJ, Jenkins MA, Newcomb PA, Gruber SB, Schoen RE, Hampel H, Corley DA, Hsu L, Peters U, Hayes RB. Cumulative Burden of Colorectal Cancer-Associated Genetic Variants Is More Strongly Associated With Early-Onset vs Late-Onset Cancer. Gastroenterology 2020; 158:1274-1286.e12. [PMID: 31866242 PMCID: PMC7103489 DOI: 10.1053/j.gastro.2019.12.012] [Citation(s) in RCA: 96] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 11/22/2019] [Accepted: 12/09/2019] [Indexed: 02/08/2023]
Abstract
BACKGROUND & AIMS Early-onset colorectal cancer (CRC, in persons younger than 50 years old) is increasing in incidence; yet, in the absence of a family history of CRC, this population lacks harmonized recommendations for prevention. We aimed to determine whether a polygenic risk score (PRS) developed from 95 CRC-associated common genetic risk variants was associated with risk for early-onset CRC. METHODS We studied risk for CRC associated with a weighted PRS in 12,197 participants younger than 50 years old vs 95,865 participants 50 years or older. PRS was calculated based on single nucleotide polymorphisms associated with CRC in a large-scale genome-wide association study as of January 2019. Participants were pooled from 3 large consortia that provided clinical and genotyping data: the Colon Cancer Family Registry, the Colorectal Transdisciplinary Study, and the Genetics and Epidemiology of Colorectal Cancer Consortium and were all of genetically defined European descent. Findings were replicated in an independent cohort of 72,573 participants. RESULTS Overall associations with CRC per standard deviation of PRS were significant for early-onset cancer, and were stronger compared with late-onset cancer (P for interaction = .01); when we compared the highest PRS quartile with the lowest, risk increased 3.7-fold for early-onset CRC (95% CI 3.28-4.24) vs 2.9-fold for late-onset CRC (95% CI 2.80-3.04). This association was strongest for participants without a first-degree family history of CRC (P for interaction = 5.61 × 10-5). When we compared the highest with the lowest quartiles in this group, risk increased 4.3-fold for early-onset CRC (95% CI 3.61-5.01) vs 2.9-fold for late-onset CRC (95% CI 2.70-3.00). Sensitivity analyses were consistent with these findings. CONCLUSIONS In an analysis of associations with CRC per standard deviation of PRS, we found the cumulative burden of CRC-associated common genetic variants to associate with early-onset cancer, and to be more strongly associated with early-onset than late-onset cancer, particularly in the absence of CRC family history. Analyses of PRS, along with environmental and lifestyle risk factors, might identify younger individuals who would benefit from preventive measures.
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Affiliation(s)
- Alexi N Archambault
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, New York
| | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jihyoun Jeon
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan
| | - Minta Thomas
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - David V Conti
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Aung Ko Win
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington; Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Iris Lansdorp-Vogelaar
- Department of Public Health, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Elisabeth F P Peterse
- Department of Public Health, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Ann G Zauber
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - David Duggan
- Translational Genomics Research Institute, An Affiliate of City of Hope, Phoenix, Arizona
| | - Andreana N Holowatyj
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - 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
| | - Michelle Cotterchio
- Population Health and Prevention, Cancer Care Ontario, Toronto, Ontario, Canada
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - Stephanie L Schmit
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California; Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Christopher K Edlund
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Melissa C Southey
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Melbourne, Australia
| | - Robert J MacInnis
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia; Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Peter T Campbell
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Broad Institute of Harvard and MIT, Cambridge, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts; Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Amit D Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Mingyang Song
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Yin Cao
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Division of Public Health Sciences, Department of Surgery, Washington University in St. Louis, St. Louis, Missouri
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, Newfoundland, Canada
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington; Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Cornelia M Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jochen Hampe
- Department of Medicine I, University Hospital Dresden, Technische Universität Dresden (TU Dresden), Dresden, Germany
| | - Christopher I Li
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Clemens Schafmayer
- Department of General and Thoracic Surgery, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Paul D Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Victor Moreno
- Cancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain; CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Annika Lindblom
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden; Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Anna H Wu
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, Virginia
| | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, North Carolina
| | - Rachel Pearlman
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - D Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Sergi Castellví-Bel
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain
| | - Leticia Moreira
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic; Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic; Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Ellen Kampman
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia; Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Demetrius Albanes
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - John A Baron
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Sonja I Berndt
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Stefanie Brezina
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Stephan Buch
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, Utah
| | - Daniel D Buchanan
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia; Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia; Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
| | | | - Gianluca Severi
- Centre de Recherche en Épidémiologie et Santé des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, Gustave Roussy, Villejuif, France
| | - María-Dolores Chirlaque
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Murcia, Spain
| | - Maria-José Sánchez
- Escuela Andaluza de Salud Pública, CIBER de Epidemiología y Salud Pública, Granada, Spain
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Florence, Italy
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Neil Murphy
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Amanda J Cross
- School of Public Health, Imperial College London, London, UK
| | | | - Stephen J Chanock
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
| | - Albert de la Chapelle
- Department of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio
| | - Douglas F Easton
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Faye Elliott
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Dallas R English
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia; Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Edith J M Feskens
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Liesel M FitzGerald
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia; Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Phyllis J Goodman
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia; Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Thomas J Hudson
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - David J Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts; Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Eric J Jacobs
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Corinne E Joshu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Sébastien Küry
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Sanford D Markowitz
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia; Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel; Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel; Clalit National Cancer Control Center, Haifa, Israel
| | - Hedy S Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel; Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel; Clalit National Cancer Control Center, Haifa, Israel
| | - Fredrick R Schumacher
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio
| | - Robert S Sandler
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, North Carolina
| | - Daniela Seminara
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland
| | - Catherine M Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Stephen N Thibodeau
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Amanda E Toland
- Department of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio
| | | | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Ludmila Vodickova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic; Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic; Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Satu Männistö
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - Korbinian Weigl
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Medical Faculty, University of Heidelberg, Heidelberg, Germany
| | - Jane Figueiredo
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California; Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Vicente Martín
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain; Biomedicine Institute (IBIOMED), University of León, León, Spain
| | - Susanna C Larsson
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Patrick S Parfrey
- The Clinical Epidemiology Unit, Memorial University Medical School, St. John's, Newfoundland, Canada
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Heinz-Josef Lenz
- Division of Medical Oncology, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jose E Castelao
- Instituto de Investigación Sanitaria Galicia Sur (IISGS), Xerencia de Xestion Integrada de Vigo-SERGAS, Oncology and Genetics Unit, Vigo, Spain
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain; Moores Cancer Center, University of California San Diego, La Jolla, California
| | - Victor Muñoz-Garzón
- Radiotherapy Department, Complejo Hospitalario Universitario de Vigo, SERGAS, Vigo, Spain
| | | | - Christopher A Haiman
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Lynne R Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Erin Siegel
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Elizabeth Barry
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire
| | - Ban Younghusband
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, Newfoundland, Canada
| | - Bethany Van Guelpen
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden; Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Sophia Harlid
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Anne Zeleniuch-Jacquotte
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, New York
| | - Peter S Liang
- Department of Medicine, New York University School of Medicine, New York, New York
| | - Mengmeng Du
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Noralane M Lindor
- Department of Health Science Research, Mayo Clinic, Scottsdale, Arizona
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Steven J Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington; School of Public Health, University of Washington, Seattle, Washington
| | - Stephen B Gruber
- Center for Precision Medicine & Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, California
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Heather Hampel
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington; Department of Biostatistics, University of Washington, Seattle, Washington
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington; Memorial University of Newfoundland, Discipline of Genetics, St. John's, Newfoundland, Canada.
| | - Richard B Hayes
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, New York.
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Song N, Lee J, Cho S, Kim J, Oh JH, Shin A. Evaluation of gene-environment interactions for colorectal cancer susceptibility loci using case-only and case-control designs. BMC Cancer 2019; 19:1231. [PMID: 31849324 PMCID: PMC6918639 DOI: 10.1186/s12885-019-6456-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 12/11/2019] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified more than 40 colorectal cancer susceptibility loci, but only a small fraction of heritability was explained. To account for missing heritability, we investigated gene-environment interactions (G × Es) between GWAS-identified single-nucleotide polymorphisms (SNPs) and established risk or protective factors for colorectal cancer using both case-only and case-control study designs. METHODS Data on 703 colorectal cancer cases and 1406 healthy controls from the National Cancer Center in Korea were used. We tested interactions between 31 GWAS-identified SNPs and 13 established risk or protective factors for colorectal cancer (family history, body mass index, history of colorectal polyps, inflammatory bowel disease, and diabetes mellitus, alcohol drinking, smoking, regular exercise, regular aspirin use, postmenopausal hormone replace therapy, red meat and processed meat intake, and dairy consumption). Logistic regression models were used to assess G × Es for colorectal cancer risk. RESULTS The SNP rs4444235 at 14q22.2 interacted with regular exercise in colorectal cancer (pcase-only = 2.4 × 10- 3, pcase-control = 1.5 × 10- 3). The risk allele (C) of rs4444235 increased the risk of colorectal cancer in regularly exercising individuals (OR = 1.47, 95% CI = 1.02-2.10) but decreased the risk in non-exercising individuals (OR = 0.76, 95% CI = 0.62-0.94). Furthermore, the G × E between the SNP rs2423279 at 20p12.3 and regular aspirin use was statistically significant (pcase-only = 7.7 × 10- 3, pcase-control = 1.6 × 10- 3). The additive effect of the risk allele (T) of rs2423279 on colorectal cancer risk was increased among regular aspirin users (OR = 4.62, 95% CI = 1.97-10.80). CONCLUSION Our results suggest that SNP rs4444235 at 14q22.2 and SNP rs2423279 at 20p12.3 may interact with regular exercise and aspirin use in colorectal carcinogenesis.
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Affiliation(s)
- Nan Song
- Cancer Research Institute, Seoul National University, Seoul, South Korea.,Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Jeeyoo Lee
- Department of Preventive Medicine, College of Medicine, Seoul National University, Seoul, South Korea
| | - Sooyoung Cho
- Department of Preventive Medicine, College of Medicine, Seoul National University, Seoul, South Korea
| | - Jeongseon Kim
- Molecular Epidemiology Branch, National Cancer Center, Goyang, South Korea
| | - Jae Hwan Oh
- Center for Colorectal Cancer, National Cancer Center, Goyang, South Korea
| | - Aesun Shin
- Cancer Research Institute, Seoul National University, Seoul, South Korea. .,Department of Preventive Medicine, College of Medicine, Seoul National University, Seoul, South Korea.
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10
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Single nucleotide polymorphisms associated with susceptibility for development of colorectal cancer: Case-control study in a Basque population. PLoS One 2019; 14:e0225779. [PMID: 31821333 PMCID: PMC6903717 DOI: 10.1371/journal.pone.0225779] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2019] [Accepted: 11/12/2019] [Indexed: 02/07/2023] Open
Abstract
Given the significant population diversity in genetic variation, we aimed to investigate whether single nucleotide polymorphisms (SNPs) previously identified in studies of colorectal cancer (CRC) susceptibility were also relevant to the population of the Basque Country (North of Spain). We genotyped 230 CRC cases and 230 healthy controls for 48 previously reported CRC-susceptibility SNPs. Only the rs6687758 in DUPS10 exhibited a statistically significant association with CRC risk based on the crude analysis. The rs6687758 AG genotype conferred about 2.13-fold increased risk for CRC compared to the AA genotype. Moreover, we found significant associations in cases between smoking status, physical activity, and the rs6687758 SNP. The results of a Genetic Risk Score (GRS) showed that the risk alleles were more frequent in cases than controls and the score was associated with CRC in crude analysis. In conclusion, we have confirmed a CRC susceptibility locus and the existence of associations between modifiable factors and the rs6687758 SNP; moreover, the GRS was associated with CRC. However, further experimental validations are needed to establish the role of this SNP, the function of the gene identified, as well as the contribution of the interaction between environmental factors and this locusto the risk of CRC.
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11
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12 new susceptibility loci for prostate cancer identified by genome-wide association study in Japanese population. Nat Commun 2019; 10:4422. [PMID: 31562322 PMCID: PMC6764957 DOI: 10.1038/s41467-019-12267-6] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 09/02/2019] [Indexed: 12/24/2022] Open
Abstract
Genome-wide association studies (GWAS) have identified ~170 genetic loci associated with prostate cancer (PCa) risk, but most of them were identified in European populations. We here performed a GWAS and replication study using a large Japanese cohort (9,906 cases and 83,943 male controls) to identify novel susceptibility loci associated with PCa risk. We found 12 novel loci for PCa including rs1125927 (TMEM17, P = 3.95 × 10−16), rs73862213 (GATA2, P = 5.87 × 10−23), rs77911174 (ZMIZ1, P = 5.28 × 10−20), and rs138708 (SUN2, P = 1.13 × 10−15), seven of which had crucially low minor allele frequency in European population. Furthermore, we stratified the polygenic risk for Japanese PCa patients by using 82 SNPs, which were significantly associated with Japanese PCa risk in our study, and found that early onset cases and cases with family history of PCa were enriched in the genetically high-risk population. Our study provides important insight into genetic mechanisms of PCa and facilitates PCa risk stratification in Japanese population. More than 170 genetic loci have been linked to prostate cancer risk, primarily based on genome-wide association studies (GWAS) in European population. Here, the authors performed a GWAS on a Japanese cohort of prostate cancer patients, finding 12 new susceptibility loci, and identifying a polygenic risk for Japanese prostate cancer.
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12
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Hussein Kamareddine M, Ghosn Y, Karam K, Nader AA, El-Mahmoud A, Bou-Ayash N, El-Khoury M, Farhat S. Adenoma Detection before and after the age of 50: a retrospective analysis of Lebanese outpatients. BMJ Open Gastroenterol 2018; 5:e000253. [PMID: 30588324 PMCID: PMC6280908 DOI: 10.1136/bmjgast-2018-000253] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 10/26/2018] [Accepted: 10/29/2018] [Indexed: 12/18/2022] Open
Abstract
Background and aim Colorectal cancer (CRC) has an increased impact on the Lebanese population’s morbidity and mortality. This study evaluated the situation of adenoma detection in an outpatient clinic in Lebanon. Patients and methods 918 patients underwent colonoscopy over a period of 24 months by a qualified physician. Biopsy results were divided into normal versus abnormal colonic tissue, which was further subdivided into number of polyps and cancer. Results Out of 918 individuals included, 82 cases of Crohn’s colitis (8.93%) and 22 cases of ulcerative colitis (2.39%) were identified. A total of 42 cases of CRC (4.58%) and 188 cases of adenomatous polyps (20.48%) were identified. The data show that age >50 years and male gender significantly correlate with increased incidence of precancerous and cancerous polyps. Further exploring the results by age groups and gender, detection of adenomatous polyps in women aged 40–49 (8.33%) was significantly different from their female counterparts aged ≥50 years old (25.26%) (p<0.01). However, no statistical difference between detection of adenomas was found between men aged 40–49 (33.33%) and their male counterparts aged ≥50 years old (37.5%) (p=0.6). Conclusion Within the limitations of this study, the incidence of CRC and adenomatous polyps falls in the high range compared with international studies. Furthermore, symptomatic male patients aged 40–49 appear to exhibit detection rates of adenomas similar to their counterparts aged ≥50 years old. Subjects younger than 50 years underwent diagnostic rather than screening colonoscopy, which introduces some selection bias. Nevertheless, these findings can serve as a basis for further studies.
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Affiliation(s)
| | - Youssef Ghosn
- Department of Medicine and Medical Sciences, University of Balamand, El-Koura, Lebanon
| | - Karam Karam
- Department of Medicine and Medical Sciences, University of Balamand, El-Koura, Lebanon
| | - Anwar Andrew Nader
- Department of Medicine and Medical Sciences, University of Balamand, El-Koura, Lebanon
| | - Ahmad El-Mahmoud
- Department of Medicine and Medical Sciences, University of Balamand, El-Koura, Lebanon
| | - Naseem Bou-Ayash
- Department of Medicine and Medical Sciences, University of Balamand, El-Koura, Lebanon
| | - Mansour El-Khoury
- Department of General Surgery, Saint George Hospital University Medical Center, Beirut, Lebanon
| | - Said Farhat
- Department of Gastroenterology, Saint George Hospital University Medical Center, Beirut, Lebanon
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13
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Song N, Kim K, Shin A, Park JW, Chang HJ, Shi J, Cai Q, Kim DY, Zheng W, Oh JH. Colorectal cancer susceptibility loci and influence on survival. Genes Chromosomes Cancer 2018; 57:630-637. [DOI: 10.1002/gcc.22674] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 08/07/2018] [Accepted: 08/07/2018] [Indexed: 12/14/2022] Open
Affiliation(s)
- Nan Song
- Cancer Research Institute; Seoul National University College of Medicine; Seoul South Korea
| | - Kyeezu Kim
- Division of Epidemiology and Biostatistics; University of Illinois at Chicago School of Public Health; Chicago Illinois
| | - Aesun Shin
- Cancer Research Institute; Seoul National University College of Medicine; Seoul South Korea
- Department of Preventive Medicine; Seoul National University College of Medicine; Seoul South Korea
- Molecular Epidemiology Branch, National Cancer Center; Goyang South Korea
| | - Ji Won Park
- Department of Surgery; Seoul National University College of Medicine and Hospital; Seoul South Korea
- Center for Colorectal Cancer, National Cancer Center; Goyang South Korea
| | - Hee Jin Chang
- Center for Colorectal Cancer, National Cancer Center; Goyang South Korea
| | - Jiajun Shi
- Division of Epidemiology, Department of Medicine; Vanderbilt University School of Medicine; Nashville Tennessee
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine; Vanderbilt University School of Medicine; Nashville Tennessee
| | - Dae Yong Kim
- Center for Colorectal Cancer, National Cancer Center; Goyang South Korea
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine; Vanderbilt University School of Medicine; Nashville Tennessee
| | - Jae Hwan Oh
- Center for Colorectal Cancer, National Cancer Center; Goyang South Korea
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14
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Cho YA, Lee J, Oh JH, Chang HJ, Sohn DK, Shin A, Kim J. Genetic Risk Score, Combined Lifestyle Factors and Risk of Colorectal Cancer. Cancer Res Treat 2018; 51:1033-1040. [PMID: 30336659 PMCID: PMC6639208 DOI: 10.4143/crt.2018.447] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Accepted: 10/17/2018] [Indexed: 01/19/2023] Open
Abstract
Purpose Both genetic and lifestyle factors contribute to the risk of colorectal cancer, but each individual factor has a limited effect. Therefore, we investigated the association between colorectal cancer and the combined effects of genetic factors or/and lifestyle risk factors. Materials and Methods In a case-control study of 632 colorectal cancer patients and 1,295 healthy controls, we quantified the genetic risk score for colorectal cancer using 13 polymorphisms. Furthermore, we determined a combined lifestyle risk score including obesity, physical activity, smoking, alcohol consumption, and dietary inflammatory index. The associations between colorectal cancer and risk score using these factors were examined using a logistic regression model. Results Higher genetic risk scores were associated with an increased risk of colorectal cancer (odds ratio [OR], 2.57; 95% confidence interval [CI], 1.89 to 3.49 for the highest tertile vs. lowest tertile). Among the modifiable factors, previous body mass index, physical inactivity, heavy alcohol consumption, and a high inflammatory diet were associated with an increased risk of colorectal cancer. A higher lifestyle risk score was associated with an increased risk of colorectal cancer (OR, 5.82; 95% CI, 4.02 to 8.44 for the highest tertile vs. lowest tertile). This association was similar in each genetic risk category. Conclusion Adherence to a healthy lifestyle is associated with a substantially reduced risk of colorectal cancer regardless of individuals’ genetic risk.
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Affiliation(s)
- Young Ae Cho
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Jeonghee Lee
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Jae Hwan Oh
- Center for Colorectal Cancer, National Cancer Center Hospital, National Cancer Center, Goyang, Korea
| | - Hee Jin Chang
- Center for Colorectal Cancer, National Cancer Center Hospital, National Cancer Center, Goyang, Korea
| | - Dae Kyung Sohn
- Center for Colorectal Cancer, National Cancer Center Hospital, National Cancer Center, Goyang, Korea
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jeongseon Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
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15
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Zhang Q, Berger FG, Love B, Banister CE, Murphy EA, Hofseth LJ. Maternal stress and early-onset colorectal cancer. Med Hypotheses 2018; 121:152-159. [PMID: 30396471 DOI: 10.1016/j.mehy.2018.09.035] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Revised: 09/10/2018] [Accepted: 09/20/2018] [Indexed: 02/07/2023]
Abstract
Early-onset colorectal cancer (EOCRC) is defined as colorectal cancer (CRC) diagnosed before the age of 50. Alarmingly, there has been a significant increase in EOCRC diagnoses' worldwide over the past several decades. Emerging data suggest EOCRCs have distinguishing clinical, pathological, biological and molecular features; and thus, are a fundamentally different subtype of CRCs. Unfortunately, there is no simple explanation for the causes of EOCRC. Scientifically rigorous studies are needed to determine what may be driving the challenging epidemiology of EOCRC. We contend here that a reasonable hypothesis is that prenatal risk factors such as maternal stress and associated sleeping disorders influence offspring epigenetic make-up, and shape immune system and gut health contributing to an increased risk for EOCRC.
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Affiliation(s)
- Qi Zhang
- Department of Drug Discovery and Biomedical Science, College of Pharmacy, University of South Carolina, Columbia, SC, USA
| | - Franklin G Berger
- Department of Biology, College of Arts and Sciences, University of South Carolina, Columbia, SC, USA
| | - Bryan Love
- Department of Clinical Pharmacy & Outcomes Sciences, College of Pharmacy, University of South Carolina, Columbia, SC, USA
| | - Carolyn E Banister
- Department of Drug Discovery and Biomedical Science, College of Pharmacy, University of South Carolina, Columbia, SC, USA
| | - Elizabeth A Murphy
- Department of Pathology, Microbiology and Immunology, University of South Carolina, Columbia, SC, USA
| | - Lorne J Hofseth
- Department of Drug Discovery and Biomedical Science, College of Pharmacy, University of South Carolina, Columbia, SC, USA.
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16
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Song N, Shin A, Oh JH, Kim J. Effects of interactions between common genetic variants and alcohol consumption on colorectal cancer risk. Oncotarget 2018; 9:6391-6401. [PMID: 29464080 PMCID: PMC5814220 DOI: 10.18632/oncotarget.23997] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Accepted: 12/28/2017] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified approximately 40 common genetic loci associated with colorectal cancer risk. To investigate possible gene-environment interactions (GEIs) between GWAS-identified single-nucleotide polymorphisms (SNPs) and alcohol consumption with respect to colorectal cancer, a hospital-based case-control study was conducted. RESULTS Higher levels of alcohol consumption as calculated based on a standardized definition of a drink (1 drink=12.5g of ethanol) were associated with increased risk of colorectal cancer (OR=2.47, 95% CI=1.62-3.76 for heavy drinkers [>50g/day] compared to never drinkers; ptrend<0.01). SNP rs6687758 near the DUSP10 gene at 1q41 had a statistically significant interaction with alcohol consumption in analyses of standardized drinks (p=4.6×10-3), although this did not surpass the corrected threshold for multiple testing. When stratified by alcohol consumption levels, in an additive model the risk of colorectal cancer associated with the G allele of rs6687758 tended to increase among individuals in the heavier alcohol consumption strata. A statistically significant association between rs6687758 and colorectal cancer risk was observed among moderate alcohol drinkers who consumed between >12.5 and ≤50g of alcohol per day (OR=1.46, 95% CI=1.01-2.11). METHODS A total of 2,109 subjects (703 colorectal cancer patients and 1,406 healthy controls) were recruited from the Korean National Cancer Center. For genotyping, 30 GWAS-identified SNPs were selected. A logistic regression model was used to evaluate associations of SNPs and alcohol consumption with colorectal cancer risk. We also tested GEIs between SNPs and alcohol consumption using a logistic model with multiplicative interaction terms. CONCLUSIONS Our results suggest that SNP rs6687758 at 1q41 may interact with alcohol consumption in the etiology of colorectal cancer.
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Affiliation(s)
- Nan Song
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Aesun Shin
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Molecular Epidemiology Branch, National Cancer Center, Goyang, Korea
| | - Jae Hwan Oh
- Center for Colorectal Cancer, National Cancer Center, Goyang, Korea
| | - Jeongseon Kim
- Molecular Epidemiology Branch, National Cancer Center, Goyang, Korea
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17
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Souza BUD, Souza NCS, Martucci RB, Rodrigues VD, Pinho NBD, Gonzalez MC, Avesani CM. Factors Associated with Sarcopenia in Patients with Colorectal Cancer. Nutr Cancer 2018; 70:176-183. [PMID: 29351494 DOI: 10.1080/01635581.2018.1412480] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Introduction; Sarcopenia are frequently observed in cancer patients and was associated with poor prognosis. Objectives; to determine the association of nutritional status, body composition, and clinic parameters with sarcopenia in patients with colorectal cancer (CRC). Methods; We conducted a cross-sectional study of 197 patients with CRC. The sarcopenia elements, including lumbar skeletal muscle index (SMI), handgrip strength, and gait speed were measured. The SMI was assessed by computed tomography at third lumbar vertebra. Phase angle (PA), serum albumin (SAlb), muscle attenuation (MA), and the scored patient-generated subjective global assessment (PG-SGA) were also evaluated. Univariate and multivariate analysis of factors associated with sarcopenia were performed. Results; Sarcopenia was present in 29 of 195 patients (15%) and was significantly correlated with advance age, lower body mass index (BMI), SAlb, PA, MA, higher PG-SGA score, and malnutrition (PG-SGA B). In univariate analysis, age, BMI, SAlb, PA, MA, PG-SGA score, and malnutrition (PG-SGA B) were associated with sarcopenia. Multivariable analysis revealed that BMI, SAlb, PA, MA, and PG-SGA score were independent predictors of sarcopenia. Conclusion; BMI, SAlb, PA, MA, and PG-SGA score were independent predictors of sarcopenia in patients with CRC.
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Affiliation(s)
- Bianca Umbelino de Souza
- a Nutrition and Dietetic Service, Cancer Hospital Unit I, Brazilian National Cancer Institute José Alencar Gomes da Silva (INCA) , Rio de Janeiro , Brazil
| | - Nilian Carla Silva Souza
- a Nutrition and Dietetic Service, Cancer Hospital Unit I, Brazilian National Cancer Institute José Alencar Gomes da Silva (INCA) , Rio de Janeiro , Brazil.,c Nutrition Institute, Rio de Janeiro State University (UERJ) , Rio de Janeiro , Brazil
| | - Renata Brum Martucci
- a Nutrition and Dietetic Service, Cancer Hospital Unit I, Brazilian National Cancer Institute José Alencar Gomes da Silva (INCA) , Rio de Janeiro , Brazil.,c Nutrition Institute, Rio de Janeiro State University (UERJ) , Rio de Janeiro , Brazil
| | - Viviane Dias Rodrigues
- a Nutrition and Dietetic Service, Cancer Hospital Unit I, Brazilian National Cancer Institute José Alencar Gomes da Silva (INCA) , Rio de Janeiro , Brazil
| | - Nivaldo Barroso de Pinho
- a Nutrition and Dietetic Service, Cancer Hospital Unit I, Brazilian National Cancer Institute José Alencar Gomes da Silva (INCA) , Rio de Janeiro , Brazil
| | - Maria Cristina Gonzalez
- b Post-graduate Program on Health and Behavior, Catholic University of Pelotas (UCPEL), Pelotas , Rio Grande do Sul , Brazil
| | - Carla Maria Avesani
- c Nutrition Institute, Rio de Janeiro State University (UERJ) , Rio de Janeiro , Brazil
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18
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Song N, Shin A, Jung HS, Oh JH, Kim J. Effects of interactions between common genetic variants and smoking on colorectal cancer. BMC Cancer 2017; 17:869. [PMID: 29258461 PMCID: PMC5737484 DOI: 10.1186/s12885-017-3886-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Accepted: 12/08/2017] [Indexed: 12/17/2022] Open
Abstract
Background Although genome-wide association studies (GWAS) have identified variants in approximately 40 susceptibility loci for colorectal cancer (CRC), there are few studies on the interactions between identified single-nucleotide polymorphisms (SNPs) and lifestyle risk factors. We evaluated whether smoking could modify associations between these genetic variants and CRC risk. Methods A total of 703 CRC patients and 1406 healthy controls were included in this case-control study from the National Cancer Center in Korea. Thirty CRC susceptibility SNPs identified in previous GWAS were genotyped. A logistic regression model was used to examine associations between the SNPs and smoking behaviors by sex. The interaction was estimated by including an additional interaction term in the model. Results In men, an increased CRC risk was observed for longer durations (OR>28 vs. ≤28years = 1.49 (95% CI = 1.11–1.98)), greater quantities (OR≥20 vs. <20cigarettes/day = 2.12 (1.61–2.79)), and longer pack-years of smoking (OR≥21 vs. <21pack-years = 1.78 (1.35–2.35)). In women, longer pack-years of smoking significantly increased CRC risk (OR≥5 vs. <5pack-years = 6.11 (1.10–34.00)). Moreover, there were significant interactions between smoking status and the polymorphisms rs1957636 at 14q22.3 (Pinteraction = 5.5 × 10−4) and rs4813802 at 20p12.3 (Pinteraction = 0.04) in men. Interactions between smoking status and the rs6687758 at 1q41 (Pinteraction = 0.03), duration and the rs174537 at 11q12.2 (Pinteraction = 0.05), and pack-years and the rs4813802 (Pinteraction = 0.04) were also found in women. Conclusions Associations between susceptibility SNPs and CRC risk may be modified by smoking behaviors, supporting the existence of gene-smoking interactions. Electronic supplementary material The online version of this article (10.1186/s12885-017-3886-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Nan Song
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, South Korea
| | - Aesun Shin
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, South Korea. .,Department of Preventive Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea. .,Molecular Epidemiology Branch, National Cancer Center, Goyang, South Korea.
| | - Hye Soo Jung
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, South Korea
| | - Jae Hwan Oh
- Center for Colorectal Cancer, National Cancer Center, Goyang, South Korea
| | - Jeongseon Kim
- Molecular Epidemiology Branch, National Cancer Center, Goyang, South Korea. .,Molecular Epidemiology Branch, Division of Cancer Epidemiology and Prevention, Research Institute, National Cancer Center, 323 Ilsan-ro, Insandong-gu, Goyang-si, Gyeonggi-do, 10408, South Korea.
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19
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Pan Y, Zhang H, Zhang M, Zhu J, Yu J, Wang B, Qiu J, Zhang J. A five-gene based risk score with high prognostic value in colorectal cancer. Oncol Lett 2017; 14:6724-6734. [PMID: 29344121 PMCID: PMC5754913 DOI: 10.3892/ol.2017.7097] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2017] [Accepted: 08/31/2017] [Indexed: 12/13/2022] Open
Abstract
Colorectal cancer (CRC) is one of the most frequently occurring malignancies worldwide. The outcomes of patients with similar clinical symptoms or at similar pathological stages remain unpredictable. This inherent clinical diversity is most likely due to the genetic heterogeneity. The present study aimed to create a predicting tool to evaluate patient survival based on genetic profile. Firstly, three Gene Expression Omnibus (GEO) datasets (GSE9348, GSE44076 and GSE44861) were utilized to identify and validate differentially expressed genes (DEGs) in CRC. The GSE14333 dataset containing survival information was then introduced in order to screen and verify prognosis-associated genes. Of the 66 DEGs, the present study screened out 46 biomarkers closely associated to patient overall survival. By Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis, it was demonstrated that these genes participated in multiple biological processes which were highly associated with cancer proliferation, drug-resistance and metastasis, thus further affecting patient survival. The five most important genes, MET proto-oncogene, receptor tyrosine kinase, carboxypeptidase M, serine hydroxymethyltransferase 2, guanylate cyclase activator 2B and sodium voltage-gated channel a subunit 9 were selected by a random survival forests algorithm, and were further made up to a linear risk score formula by multivariable cox regression. Finally, the present study tested and verified this risk score within three independent GEO datasets (GSE14333, GSE17536 and GSE29621), and observed that patients with a high risk score had a lower overall survival (P<0.05). Furthermore, this risk score was the most significant compared with other predicting factors including age and American Joint Committee on Cancer stage, in the model, and was able to predict patient survival independently and directly. The findings suggest that this survival associated DEGs-based risk score is a powerful and accurate prognostic tool and is promisingly implemented in a clinical setting.
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Affiliation(s)
- Yida Pan
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
| | - Hongyang Zhang
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
| | - Mingming Zhang
- Department of Gastroenterology, Nanjing Drum Tower Hospital, Nanjing University, Nanjing 210008, P.R. China
| | - Jie Zhu
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
| | - Jianghong Yu
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.,Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, P.R. China
| | - Bangting Wang
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
| | - Jigang Qiu
- Department of General Surgery, Huadong Hospital, Fudan University, Shanghai 200040, P.R. China
| | - Jun Zhang
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China
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