Do GWAS-Identified Risk Variants for Chronic Lymphocytic Leukemia Influence Overall Patient Survival and Disease Progression?

Author:

Cabrera-Serrano Antonio José12ORCID,Sánchez-Maldonado José Manuel12ORCID,ter Horst Rob3,Macauda Angelica4,García-Martín Paloma5,Benavente Yolanda678ORCID,Landi Stefano9ORCID,Clay-Gilmour Alyssa10,Niazi Yasmeen1112,Espinet Blanca1314ORCID,Rodríguez-Sevilla Juan José15ORCID,Pérez Eva María5,Maffei Rossana16ORCID,Blanco Gonzalo1314ORCID,Giaccherini Matteo9ORCID,Cerhan James R.17,Marasca Roberto16ORCID,López-Nevot Miguel Ángel18ORCID,Chen-Liang Tzu19,Thomsen Hauke20ORCID,Gámez Irene19,Campa Daniele9,Moreno Víctor62122ORCID,de Sanjosé Silvia67,Marcos-Gragera Rafael7232425ORCID,García-Álvarez María26,Dierssen-Sotos Trinidad727ORCID,Jerez Andrés28ORCID,Butrym Aleksandra29ORCID,Norman Aaron D.17,Luppi Mario16,Slager Susan L.3031,Hemminki Kari3233ORCID,Li Yang3435ORCID,Berndt Sonja I.36,Casabonne Delphine67,Alcoceba Miguel26ORCID,Puiggros Anna1314ORCID,Netea Mihai G.3437,Försti Asta1112ORCID,Canzian Federico4ORCID,Sainz Juan12738ORCID

Affiliation:

1. Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS, 18016 Granada, Spain

2. Instituto de Investigación Biosanitaria IBs.Granada, 18012 Granada, Spain

3. CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, 1090 Vienna, Austria

4. Genomic Epidemiology Group, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany

5. Hospital Campus de la Salud, PTS, 18016 Granada, Spain

6. Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), 08908 Barcelona, Spain

7. Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), University of Barcelona, 08908 Barcelona, Spain

8. CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain

9. Department of Biology, University of Pisa, 56126 Pisa, Italy

10. Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Greenville, SC 29208, USA

11. Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany

12. Hopp Children’s Cancer Center (KiTZ), 69120 Heidelberg, Germany

13. Molecular Cytogenetics Laboratory, Pathology Department, Hospital del Mar, 08003 Barcelona, Spain

14. Translational Research on Hematological Neoplasms Group, Cancer Research Program, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), 08003 Barcelona, Spain

15. Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA

16. Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, AOU Policlinico, 41124 Modena, Italy

17. Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA

18. Immunology Department, Virgen de las Nieves University Hospital, 18014 Granada, Spain

19. Hematology Department, Morales Meseguer University Hospital, 30008 Murcia, Spain

20. MSB Medical School Berlin, D-14197 Berlin, Germany

21. Cancer Prevention and Control Program, Unit of Biomarkers and Susceptibility, Bellvitge Biomedical Research Institute (IDIBELL), Catalan Institute of Oncology, 08907 Barcelona, Spain

22. Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, 08907 Barcelona, Spain

23. Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona Biomedical Research Institute (IdiBGi), 17190 Girona, Spain

24. Department of Nursing, Universitat de Girona, 17007 Girona, Spain

25. Josep Carreras Leukemia Research Institute, 08916 Girona, Spain

26. Department of Hematology, University Hospital of Salamanca (HUS/IBSAL), CIBERONC and Cancer Research Institute of Salamanca-IBMCC (USAL-CSIC), 37007 Salamanca, Spain

27. Faculty of Medicine, University of Cantabria, 39011 Santander, Spain

28. Department of Hematology, Experimental Hematology Unit, Vall d’Hebron Institute of Oncology (VHIO), University Hospital Vall d’Hebron, 08035 Barcelona, Spain

29. Department of Cancer Prevention and Therapy, Medical University of Wrocław, 50-556 Wrocław, Poland

30. Division of Computational Genomics, Mayo Clinic, Rochester, MN 85054, USA

31. Division of Hematology, Mayo Clinic, Rochester, MN 55905, USA

32. Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany

33. Faculty of Medicine and Biomedical Center in Pilsen, Charles University in Prague, 30605 Pilsen, Czech Republic

34. Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands

35. Centre for Individualised Infection Medicine (CiiM) & TWINCORE, Joint Ventures between the Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), 30625 Hannover, Germany

36. Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20814, USA

37. Department for Immunology & Metabolism, Life and Medical Sciences Institute (LIMES), University of Bonn, 53115 Bonn, Germany

38. Department of Biochemistry and Molecular Biology I, Faculty of Sciences, University of Granada (UGR), 18012 Granada, Spain

Abstract

Chronic lymphocytic leukemia (CLL) is the most common leukemia among adults worldwide. Although genome-wide association studies (GWAS) have uncovered the germline genetic component underlying CLL susceptibility, the potential use of GWAS-identified risk variants to predict disease progression and patient survival remains unexplored. Here, we evaluated whether 41 GWAS-identified risk variants for CLL could influence overall survival (OS) and disease progression, defined as time to first treatment (TTFT) in a cohort of 1039 CLL cases ascertained through the CRuCIAL consortium. Although this is the largest study assessing the effect of GWAS-identified susceptibility variants for CLL on OS, we only found a weak association of ten single nucleotide polymorphisms (SNPs) with OS (p < 0.05) that did not remain significant after correction for multiple testing. In line with these results, polygenic risk scores (PRSs) built with these SNPs in the CRuCIAL cohort showed a modest association with OS and a low capacity to predict patient survival, with an area under the receiver operating characteristic curve (AUROC) of 0.57. Similarly, seven SNPs were associated with TTFT (p < 0.05); however, these did not reach the multiple testing significance threshold, and the meta-analysis with previous published data did not confirm any of the associations. As expected, PRSs built with these SNPs showed reduced accuracy in prediction of disease progression (AUROC = 0.62). These results suggest that susceptibility variants for CLL do not impact overall survival and disease progression in CLL patients.

Funder

European Union’s Horizon 2020 research and innovation program

Instituto de Salud Carlos III and FEDER

Consejería de Transformación Económica, Industria, Conocimiento y Universidades y FEDER

US National Cancer Institute

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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