Congenital, Hereditary, and Neonatal Diseases and Abnormalities; Digestive System Neoplasms; Early Diagnosis; Genetic Association Studies; Genetic Counseling; Genetics; Genetics (clinical); Congenital; Hereditary; and Neonatal Diseases and Abnormalities
Abstract :
[en] [en] BACKGROUND: Polygenic risk scores (PRSs) have been used to stratify colorectal cancer (CRC) risk in the general population, whereas its role in Lynch syndrome (LS), the most common type of hereditary CRC, is still conflicting. We aimed to assess the ability of PRS to refine CRC risk prediction in European-descendant individuals with LS.
METHODS: 1465 individuals with LS (557 MLH1, 517 MSH2/EPCAM, 299 MSH6 and 92 PMS2) and 5656 CRC-free population-based controls from two independent cohorts were included. A 91-SNP PRS was applied. A Cox proportional hazard regression model with 'family' as a random effect and a logistic regression analysis, followed by a meta-analysis combining both cohorts were conducted.
RESULTS: Overall, we did not observe a statistically significant association between PRS and CRC risk in the entire cohort. Nevertheless, PRS was significantly associated with a slightly increased risk of CRC or advanced adenoma (AA), in those with CRC diagnosed <50 years and in individuals with multiple CRCs or AAs diagnosed <60 years.
CONCLUSION: The PRS may slightly influence CRC risk in individuals with LS in particular in more extreme phenotypes such as early-onset disease. However, the study design and recruitment strategy strongly influence the results of PRS studies. A separate analysis by genes and its combination with other genetic and non-genetic risk factors will help refine its role as a risk modifier in LS.
Disciplines :
Oncology
Author, co-author :
Dueñas, Nuria ; Hereditary Cancer Program, Catalan Institute of Oncology - ICO, L'Hospitalet de Llobregat, Spain ; Hereditary Cancer Group, Molecular Mechanisms and Experimental Therapy in Oncology Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain ; Biomedical Research Centre Network for Oncology (CIBERONC), Instituto Salud Carlos III, Madrid, Spain ; European Reference Network on Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, Netherlands
Klinkhammer, Hannah ; Institute for Medical Biometry, Informatics and Epidemiology, Medical Faculty, University of Bonn, Bonn, Germany ; Institute for Genomic Statistics and Bioinformatics, Medical Faculty, University of Bonn, Bonn, Germany
Bonifaci, Nuria; Hereditary Cancer Group, Molecular Mechanisms and Experimental Therapy in Oncology Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain ; Biomedical Research Centre Network for Oncology (CIBERONC), Instituto Salud Carlos III, Madrid, Spain
Spier, Isabel ; European Reference Network on Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, Netherlands ; Institute of Human Genetics, Medical Faculty, University of Bonn, Bonn, Germany ; National Center for Hereditary Tumor Syndromes, University of Bonn, Bonn, Germany
Mayr, Andreas; Institute for Medical Biometry, Informatics and Epidemiology, Medical Faculty, University of Bonn, Bonn, Germany
HASSANIN, Emadeldin ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core ; Institute for Genomic Statistics and Bioinformatics, Medical Faculty, University of Bonn, Bonn, Germany
Diez-Villanueva, Anna; Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology - ICO, L'Hospitalet de Llobregat, Spain ; Colorectal Cancer Group (ONCOBELL), Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain ; Biomedical Research Centre Network for Epidemiology and Public Health (CIBERESP), Instituto Salud Carlos III, Madrid, Spain
Moreno, Victor ; Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology - ICO, L'Hospitalet de Llobregat, Spain ; Colorectal Cancer Group (ONCOBELL), Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain ; Biomedical Research Centre Network for Epidemiology and Public Health (CIBERESP), Instituto Salud Carlos III, Madrid, Spain ; Department of Clinical Sciences, Faculty of Medicine and Health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), Universitat de Barcelona, Barcelona, Spain
Pineda, Marta ; Hereditary Cancer Program, Catalan Institute of Oncology - ICO, L'Hospitalet de Llobregat, Spain ; Hereditary Cancer Group, Molecular Mechanisms and Experimental Therapy in Oncology Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain ; Biomedical Research Centre Network for Oncology (CIBERONC), Instituto Salud Carlos III, Madrid, Spain ; European Reference Network on Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, Netherlands
Maj, Carlo; Institute for Genomic Statistics and Bioinformatics, Medical Faculty, University of Bonn, Bonn, Germany
Capellà, Gabriel; Hereditary Cancer Program, Catalan Institute of Oncology - ICO, L'Hospitalet de Llobregat, Spain ; Hereditary Cancer Group, Molecular Mechanisms and Experimental Therapy in Oncology Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain ; Biomedical Research Centre Network for Oncology (CIBERONC), Instituto Salud Carlos III, Madrid, Spain ; European Reference Network on Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, Netherlands
Aretz, Stefan ; European Reference Network on Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, Netherlands jbrunet@iconcologia.net stefan.aretz@uni-bonn.de ; Institute of Human Genetics, Medical Faculty, University of Bonn, Bonn, Germany ; National Center for Hereditary Tumor Syndromes, University of Bonn, Bonn, Germany
Brunet, Joan ; Hereditary Cancer Program, Catalan Institute of Oncology - ICO, L'Hospitalet de Llobregat, Spain jbrunet@iconcologia.net stefan.aretz@uni-bonn.de ; Hereditary Cancer Group, Molecular Mechanisms and Experimental Therapy in Oncology Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain ; Biomedical Research Centre Network for Oncology (CIBERONC), Instituto Salud Carlos III, Madrid, Spain ; European Reference Network on Genetic Tumour Risk Syndromes (ERN GENTURIS), Nijmegen, Netherlands ; Hereditary Cancer Program, Catalan Institute of Oncology - ICO, Girona, Spain
Instituto de Salud Carlos III Centro de Investigación Biomédica en Red de Cáncer Ministerio de Ciencia e Innovación Ministerio de Economía y Competitividad Fundación Científica Asociación Española Contra el Cáncer Departament d'Innovació, Universitats i Empresa, Generalitat de Catalunya
Funding text :
We thank the participating patients and families and all members of the Units of Genetic Counseling and Genetic Diagnostic of the Hereditary Cancer Program of the Catalan Institute of Oncology and the Institute of Human Genetics of the University Hospital Bonn as well as the BufaLynch Association for their support and funding of ICO’s Lynch Syndrome Database. We thank Gemma Aiza for technical support. The authors also acknowledge the Department of Medicine at the Universitat Autònoma de Barcelona and the CERCA Program/Generalitat de Catalunya for institutional support. This research is supported (not financially) by the European Reference Network on Genetic Tumour Risk Syndromes (ERN GENTURIS). ERN GENTURIS is funded by the European Union.This research was partially funded by the Spanish Ministry of Economy and Competitiveness and the Spanish Ministry of Science and Innovation, cofunded by FEDER Funds: a Way to Build Europe (grants SAF2015-68016-R and PID2019-111254RB-I00), CIBERONC (CB16/12/00234), the Government of Catalonia (SGR_01112), the Spanish Association Against Cancer Scientific Foundation (grant GCTRA18022MORE) and Spanish Ministry for Economy and Competitivity, Instituto de Salud Carlos III, cofunded by FEDER funds: a Way to Build Europe (FIS PI14-00613). ND was funded by the Instituto de Salud Carlos III and cofunded by the European Social Fund investing in your future (grant CM19/00099), the Catalan-Balearic Society of Oncology (2018 grant of the Catalan-Balearic Society of Oncology), the European Union’s Horizon 2020 research and innovation programme under the EJP RD COFUND-EJP number 825575. AD-V was supported by PERIS contract SLT017/20/000042. The GSA genotyping was performed at the Spanish National Cancer Research Centre, in the Human Genotyping lab, a member of CeGen, PRB3, and is supported by grant PT17/0019, of the PE I+D+i 2013-2016, funded by ISCIII and ERDF.
Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2021; 71: 209-49. doi:10.3322/caac.21660
Czene K, Lichtenstein P, Hemminki K. Environmental and heritable causes of cancer among 9.6 million individuals in the Swedish family-cancer database. Int J Cancer 2002; 99: 260-6. doi:10.1002/ijc.10332
Moreira L, Balaguer F, Lindor N, et al. Identification of Lynch syndrome among patients with colorectal cancer. JAMA 2012; 308: 1555. doi:10.1001/jama.2012.13088
Win AK, Jenkins MA, Dowty JG, et al. Prevalence and penetrance of major genes and Polygenes for colorectal cancer. Cancer Epidemiol Biomarkers Prev 2017; 26: 404-12. doi:10.1158/1055-9965.EPI-16-0693
Hampel H, de la Chapelle A. How do we approach the goal of identifying everybody with Lynch syndrome. Fam Cancer 2013; 12: 313-7. doi:10.1007/s10689-013-9611-5
Dominguez-Valentin M, Sampson JR, Seppälä TT, et al. Cancer risks by gene, age, and gender in 6350 carriers of pathogenic mismatch repair variants: findings from the prospective Lynch syndrome database. Genet Med 2020; 22: 15-25. doi:10.1038/s41436-019-0596-9
International Mismatch Repair Consortium. Variation in the risk of colorectal cancer in families with Lynch syndrome: a retrospective cohort study. Lancet Oncol 2021; 22: 1014-22. doi:10.1016/S1470-2045(21)00189-3
Scott RJ. Modifier genes and Lynch syndrome: some considerations. Hered Cancer Clin Pract 2022; 20: 35. doi:10.1186/s13053-022-00240-2
Law PJ, Timofeeva M, Fernandez-Rozadilla C, et al. Association analyses identify 31 new risk Loci for colorectal cancer susceptibility. Nat Commun 2019; 10: 2154. doi:10.1038/s41467-019-09775-w
Huyghe JR, Bien SA, Harrison TA, et al. Discovery of common and rare genetic risk variants for colorectal cancer. Nat Genet 2019; 51: 76-87. doi:10.1038/s41588-018-0286-6
Fernandez-Rozadilla C, Timofeeva M, Chen Z, et al. Deciphering colorectal cancer genetics through multi-Omic analysis of 100,204 cases and 154,587 controls of European and East Asian Ancestries. Nat Genet 2023; 55: 519-20. doi:10.1038/s41588-023-01334-w
Hsu L, Jeon J, Brenner H, et al. A model to determine colorectal cancer risk using common genetic susceptibility Loci. Gastroenterology 2015; 148: 1330-1339. doi:10.1053/j.gastro.2015.02.010
Jenkins MA, Makalic E, Dowty JG, et al. Quantifying the utility of single nucleotide Polymorphisms to guide colorectal cancer screening. Future Oncology 2016; 12: 503-13. doi:10.2217/fon.15.303
Frampton MJE, Law P, Litchfield K, et al. Implications of Polygenic risk for Personalised colorectal cancer screening. Ann Oncol 2016; 27: 429-34. doi:10.1093/annonc/mdv540
Thomas M, Sakoda LC, Hoffmeister M, et al. Genome-wide modeling of Polygenic risk score in colorectal cancer risk. Am J Hum Genet 2020; 107: 432-44. doi:10.1016/j.ajhg.2020.07.006
Fahed AC, Wang M, Homburger JR, et al. Polygenic background modifies penetrance of Monogenic variants for tier 1 Genomic conditions. Nat Commun 2020; 11: 3635. doi:10.1038/s41467-020-17374-3
Archambault AN, Su Y-R, Jeon J, et al. Cumulative burden of colorectal cancer-associated genetic variants is more strongly associated with early-onset vs late-onset cancer. Gastroenterology 2020; 158: 1274-86. doi:10.1053/j.gastro.2019.12.012
Mur P, Bonifaci N, Díez-Villanueva A, et al. Non-Lynch familial and early-onset colorectal cancer explained by accumulation of low-risk genetic variants. Cancers (Basel) 2021; 13: 3857. doi:10.3390/cancers13153857
Hassanin E, Spier I, Bobbili DR, et al. Clinically relevant combined effect of Polygenic background, rare pathogenic Germline variants, and family history on colorectal cancer incidence. BMC Med Genomics 2023; 16: 42. doi:10.1186/s12920-023-01469-z
Jenkins MA, Buchanan DD, Lai J, et al. Assessment of a polygenic risk score for colorectal cancer to predict risk of Lynch syndrome colorectal cancer. JNCI Cancer Spectr 2021; 5: pkab022. doi:10.1093/jncics/pkab022
Dueñas N, Navarro M, Sanjuán X, et al. Lessons learnt from the implementation of a colorectal cancer screening programme for Lynch syndrome in a tertiary public hospital. Cancer Epidemiol 2023; 82: 102291. doi:10.1016/j.canep.2022.102291
Obón-Santacana M, Díez-Villanueva A, Alonso MH, et al. Polygenic risk score across distinct colorectal cancer screening outcomes: from Premalignant polyps to colorectal cancer. BMC Med 2021; 19: 261. doi:10.1186/s12916-021-02134-x
Schmermund A, Möhlenkamp S, Stang A, et al. Assessment of clinically silent Atherosclerotic disease and established and novel risk factors for predicting myocardial infarction and cardiac death in healthy middle-aged subjects: rationale and design of the Heinz Nixdorf RECALL study. Am Heart J 2002; 144: 212-8. doi:10.1067/mhj.2002.123579
Das S, Forer L, Schönherr S, et al. Next-generation genotype imputation service and methods. Nat Genet 2016; 48: 1284-7. doi:10.1038/ng.3656
Auton A, Brooks LD, Durbin RM, et al. A global reference for human genetic variation. Nature 2015; 526: 68-74. doi:10.1038/nature15393
Purcell S, Neale B, Todd-Brown K, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 2007; 81: 559-75. doi:10.1086/519795
Balduzzi S, Rücker G, Schwarzer G. How to perform a meta-analysis with R: a practical Tutorial. Evid Based Ment Health 2019; 22: 153-60. doi:10.1136/ebmental-2019-300117
Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Series B Stat Methodol 1995; 57: 289-300. doi:10.1111/j.2517-6161.1995.tb02031.x
Win AK, Hopper JL, Buchanan DD, et al. Are the common genetic variants associated with colorectal cancer risk for DNA mismatch repair gene mutation carriers. Eur J Cancer 2013; 49: 1578-87. doi:10.1016/j.ejca.2013.01.029
Ten Broeke SW, Elsayed FA, Pagan L, et al. SNP Association study in PMS2-associated Lynch syndrome. Fam Cancer 2018; 17: 507-15. doi:10.1007/s10689-017-0061-3
Talseth-Palmer BA, Wijnen JT, Brenne IS, et al. Combined analysis of three Lynch syndrome cohorts confirms the modifying effects of 8Q23.3 and 11Q23.1 in MLH1 Mutation carriers. Int J Cancer 2013; 132: 1556-64. doi:10.1002/ijc.27843
Houlle S, Charbonnier F, Houivet E, et al. Evaluation of Lynch syndrome modifier genes in 748 MMR Mutation carriers. Eur J Hum Genet 2011; 19: 887-92. doi:10.1038/ejhg.2011.44
Gallagher S, Hughes E, Wagner S, et al. Association of a Polygenic risk score with breast cancer among women carriers of high-and moderate-risk breast cancer genes. JAMA Netw Open 2020; 3: e208501. doi:10.1001/jamanetworkopen.2020.8501
Hassanin E, May P, Aldisi R, et al. Breast and prostate cancer risk: the interplay of polygenic risk, rare pathogenic Germline variants, and family history. Genet Med 2022; 24: 576-85. doi:10.1016/j.gim.2021.11.009
Mars N, Lindbohm JV, Della Briotta Parolo P, et al. Systematic comparison of family history and Polygenic risk across 24 common diseases. Am J Hum Genet 2022; 109: 2152-62. doi:10.1016/j.ajhg.2022.10.009
Järvinen HJ, Aarnio M, Mustonen H, et al. Controlled 15-year trial on screening for colorectal cancer in families with hereditary Nonpolyposis colorectal cancer. Gastroenterology 2000; 118: 829-34. doi:10.1016/s0016-5085(00)70168-5
Kalady MF, Lipman J, McGannon E, et al. Risk of colonic neoplasia after proctectomy for rectal cancer in hereditary Nonpolyposis colorectal cancer. Ann Surg 2012; 255: 1121-5. doi:10.1097/SLA.0b013e3182565c0b
Ahadova A, Gallon R, Gebert J, et al. Three molecular pathways model colorectal carcinogenesis in Lynch syndrome. Int J Cancer 2018; 143: 139-50. doi:10.1002/ijc.31300
Seppälä T, Pylvänäinen K, Evans DG, et al. Colorectal cancer incidence in Path_Mlh1 carriers subjected to different follow-up protocols: a prospective Lynch syndrome database report. Hered Cancer Clin Pract 2017; 15: 18. doi:10.1186/s13053-017-0078-5
Bafligil C, Thompson DJ, Lophatananon A, et al. Association between genetic Polymorphisms and endometrial cancer risk: a systematic review. J Med Genet 2020; 57: 591-600. doi:10.1136/jmedgenet-2019-106529
Choi J, Jia G, Wen W, et al. Evaluating Polygenic risk scores in assessing risk of nine solid and hematologic cancers in European descendants. Int J Cancer 2020; 147: 3416-23. doi:10.1002/ijc.33176
Bafligil C, Thompson DJ, Lophatananon A, et al. Development and evaluation of Polygenic risk scores for prediction of endometrial cancer risk in European women. Genet Med 2022; 24: 1847-56. doi:10.1016/j.gim.2022.05.014