Does a Multiple Myeloma Polygenic Risk Score Predict Overall Survival of Patients with Myeloma?
Jazyk angličtina Země Spojené státy americké Médium print
Typ dokumentu časopisecké články, metaanalýza, Research Support, N.I.H., Extramural
Grantová podpora
R21 CA191896
NCI NIH HHS - United States
PubMed
35700034
PubMed Central
PMC11375313
DOI
10.1158/1055-9965.epi-22-0043
PII: 704896
Knihovny.cz E-zdroje
- MeSH
- celogenomová asociační studie * metody MeSH
- genetická predispozice k nemoci MeSH
- jednonukleotidový polymorfismus MeSH
- lidé MeSH
- mnohočetný myelom * genetika MeSH
- rizikové faktory MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- metaanalýza MeSH
- Research Support, N.I.H., Extramural MeSH
BACKGROUND: Genome-wide association studies (GWAS) of multiple myeloma in populations of European ancestry (EA) identified and confirmed 24 susceptibility loci. For other cancers (e.g., colorectum and melanoma), risk loci have also been associated with patient survival. METHODS: We explored the possible association of all the known risk variants and their polygenic risk score (PRS) with multiple myeloma overall survival (OS) in multiple populations of EA [the International Multiple Myeloma rESEarch (IMMEnSE) consortium, the International Lymphoma Epidemiology consortium, CoMMpass, and the German GWAS] for a total of 3,748 multiple myeloma cases. Cox proportional hazards regression was used to assess the association between each risk SNP with OS under the allelic and codominant models of inheritance. All analyses were adjusted for age, sex, country of origin (for IMMEnSE) or principal components (for the others) and disease stage (ISS). SNP associations were meta-analyzed. RESULTS: SNP associations were meta-analyzed. From the meta-analysis, two multiple myeloma risk SNPs were associated with OS (P < 0.05), specifically POT1-AS1-rs2170352 [HR = 1.37; 95% confidence interval (CI) = 1.09-1.73; P = 0.007] and TNFRSF13B-rs4273077 (HR = 1.19; 95% CI = 1.01-1.41; P = 0.04). The association between the combined 24 SNP MM-PRS and OS, however, was not significant. CONCLUSIONS: Overall, our results did not support an association between the majority of multiple myeloma risk SNPs and OS. IMPACT: This is the first study to investigate the association between multiple myeloma PRS and OS in multiple myeloma.
Biomedical Center Faculty of Medicine Charles University in Pilsen Pilsen Czech Republic
Cancer Epidemiology Division Cancer Council Victoria Melbourne Victoria Australia
CCU Molecular Hematology Oncology German Cancer Research Center Heidelberg Germany
Clinical and Experimental Medicine Section of Hematology University of Pisa Pisa Italy
Department of Biology University of Pisa Pisa Italy
Department of Haematology and Bone Marrow Transplantation SSM im M Kopernika Torun Poland
Department of Haematology Rigshospitalet Copenhagen University Copenhagen Denmark
Department of Hematology and Internal Medicine Semmelweis University Budapest Hungary
Department of Hematology and Transplantology Medical Univeristy of Gdańsk Gdańsk Poland
Department of Hematology Medical University of Lodz Lodz Poland
Department of Hematology Military Institute of Medicine Warsaw Poland
Department of Hematology Rydygier Hospital Cracow Poland
Department of Hematology Specialist Hospital No 1 in Bytom Bytom Poland
Department of Hematology University Hospital Bydgoszcz Bydgoszcz Poland
Department of Hematology University Hospital of Cracow Cracow Poland
Department of Hematooncology and Bone Marrow Transplantation Medical University of Lublin Poland
Department of Internal and Occupational Diseases Medical University Wroclaw Wroclaw Poland
Department of Internal Medicine 5 University of Heidelberg Heidelberg Germany
Department of Pathology School of Medicine University of Alabama Birmingham Alabama
Division of Biostatistics German Cancer Research Center Heidelberg Germany
Division of Cancer Epidemiology and Genetics NCI NIH Bethesda Maryland
Division of Cancer Epidemiology German Cancer Research Center Heidelberg Germany
Division of Epidemiology Department of Quantitative Sciences Mayo Clinic Rochester Minnesota
Division of Hematology and Huntsman Cancer Institute University of Utah Salt Lake City Utah
Division of Hematology Department of Internal Medicine Mayo Clinic Rochester Minnesota
Division of Pediatric Neurooncology German Cancer Research Center Heidelberg Germany
Division of Population Oncology Cancer Control Research BC Cancer Vancouver Bristish Columbia Canada
Genomic Epidemiology Group German Cancer Research Center Heidelberg Germany
Hematology Clinic Holycross Cancer Center Kielce Poland
Hematology department Virgen de las Nieves University Hospital Granada Spain
Hopp Children's Cancer Center Heidelberg Germany
Molecular Oncology Research Center Barretos Cancer Hospital Barretos Brazil
Servicio de Hematología Centro de Actividades Ambulatorias Madrid Spain
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