-
Je něco špatně v tomto záznamu ?
Does a Multiple Myeloma Polygenic Risk Score Predict Overall Survival of Patients with Myeloma
A. Macauda, A. Clay-Gilmour, T. Hielscher, MAT. Hildebrandt, M. Kruszewski, RZ. Orlowski, SK. Kumar, E. Ziv, E. Orciuolo, EE. Brown, A. Försti, RG. Waller, MJ. Machiela, SJ. Chanock, NJ. Camp, M. Rymko, M. Raźny, W. Cozen, J. Várkonyi, C....
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, metaanalýza
NLK
Free Medical Journals
od 1991 do Před 1 rokem
Freely Accessible Science Journals
od 1991 do Před 12 měsíci
Open Access Digital Library
od 1991-11-01
Open Access Digital Library
od 1991-11-01
- 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
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
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc22024481
- 003
- CZ-PrNML
- 005
- 20221031101058.0
- 007
- ta
- 008
- 221017s2022 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1158/1055-9965.EPI-22-0043 $2 doi
- 035 __
- $a (PubMed)35700034
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Macauda, Angelica $u Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany $u Department of Biology, University of Pisa, Pisa, Italy $1 https://orcid.org/0000000168956269
- 245 10
- $a Does a Multiple Myeloma Polygenic Risk Score Predict Overall Survival of Patients with Myeloma / $c A. Macauda, A. Clay-Gilmour, T. Hielscher, MAT. Hildebrandt, M. Kruszewski, RZ. Orlowski, SK. Kumar, E. Ziv, E. Orciuolo, EE. Brown, A. Försti, RG. Waller, MJ. Machiela, SJ. Chanock, NJ. Camp, M. Rymko, M. Raźny, W. Cozen, J. Várkonyi, C. Piredda, M. Pelosini, AA. Belachew, E. Subocz, K. Hemminki, M. Rybicka-Ramos, GG. Giles, RL. Milne, JN. Hofmann, JM. Zaucha, AJ. Vangsted, H. Goldschmidt, SV. Rajkumar, W. Tomczak, J. Sainz, A. Butrym, M. Watek, E. Iskierka-Jazdzewska, G. Buda, DP. Robinson, A. Jurczyszyn, M. Dudziński, J. Martinez-Lopez, JP. Sinnwell, SL. Slager, K. Jamroziak, RMV. Reis, N. Weinhold, P. Bhatti, LG. Carvajal-Carmona, D. Zawirska, AD. Norman, G. Mazur, SI. Berndt, D. Campa, CM. Vachon, F. Canzian
- 520 9_
- $a 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.
- 650 _2
- $a genetická predispozice k nemoci $7 D020022
- 650 12
- $a celogenomová asociační studie $x metody $7 D055106
- 650 _2
- $a lidé $7 D006801
- 650 12
- $a mnohočetný myelom $x genetika $7 D009101
- 650 _2
- $a jednonukleotidový polymorfismus $7 D020641
- 650 _2
- $a rizikové faktory $7 D012307
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a metaanalýza $7 D017418
- 700 1_
- $a Clay-Gilmour, Alyssa $u Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Greenville, South Carolina
- 700 1_
- $a Hielscher, Thomas $u Division of Biostatistics, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
- 700 1_
- $a Hildebrandt, Michelle A T $u Department of Lymphoma - Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
- 700 1_
- $a Kruszewski, Marcin $u Department of Hematology University Hospital Bydgoszcz, Bydgoszcz, Poland $1 https://orcid.org/0000000185879621
- 700 1_
- $a Orlowski, Robert Z $u Department of Lymphoma - Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas $1 https://orcid.org/0000000257234129
- 700 1_
- $a Kumar, Shaji K $u Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota $1 https://orcid.org/0000000153929284
- 700 1_
- $a Ziv, Elad $u Department of Medicine, University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California $1 https://orcid.org/0000000223242884
- 700 1_
- $a Orciuolo, Enrico $u Clinical and Experimental Medicine, Section of Hematology, University of Pisa, Pisa, Italy
- 700 1_
- $a Brown, Elizabeth E $u Department of Pathology, School of Medicine, University of Alabama, Birmingham, Alabama
- 700 1_
- $a Försti, Asta $u Hopp Children's Cancer Center (KiTZ), Heidelberg, Germany $u Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany $1 https://orcid.org/0000000298574728
- 700 1_
- $a Waller, Rosalie G $u Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota $1 https://orcid.org/0000000194378861
- 700 1_
- $a Machiela, Mitchell J $u Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland $1 https://orcid.org/0000000165389705
- 700 1_
- $a Chanock, Stephen J $u Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland $1 https://orcid.org/0000000223243393
- 700 1_
- $a Camp, Nicola J $u Division of Hematology and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah $1 https://orcid.org/0000000247881998
- 700 1_
- $a Rymko, Marcin $u Department of Haematology and Bone Marrow Transplantation, SSM im. M. Kopernika, Torun, Poland $1 https://orcid.org/0000000268300240
- 700 1_
- $a Raźny, Małgorzata $u Department of Hematology, Rydygier Hospital, Cracow, Poland $1 https://orcid.org/0000000185036114
- 700 1_
- $a Cozen, Wendy $u Division of Hematology/Oncology, Department of Medicine, School of Medicine, Department of Pathology, School of Medicine, Susan and Henry Samueli College of Health Sciences, Chao Family Comprehensive Cancer Center, University of California at Irvine, California $1 https://orcid.org/0000000334158247
- 700 1_
- $a Várkonyi, Judit $u Department of Hematology and Internal Medicine, Semmelweis University, Budapest, Hungary
- 700 1_
- $a Piredda, Chiara $u Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany $1 https://orcid.org/0000000247978175
- 700 1_
- $a Pelosini, Matteo $u Clinical and Experimental Medicine, Section of Hematology, University of Pisa, Pisa, Italy $1 https://orcid.org/0000000241517132
- 700 1_
- $a Belachew, Alem A $u Department of Lymphoma - Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas $1 https://orcid.org/000000021369799X
- 700 1_
- $a Subocz, Edyta $u Department of Hematology, Military Institute of Medicine, Warsaw, Poland $1 https://orcid.org/0000000152253921
- 700 1_
- $a Hemminki, Kari $u Biomedical Center, Faculty of Medicine, Charles University in Pilsen, Pilsen, Czech Republic $u Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- 700 1_
- $a Rybicka-Ramos, Malwina $u Department of Hematology Specialist Hospital No. 1 in Bytom, Bytom, Poland
- 700 1_
- $a Giles, Graham G $u Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia $u Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia $u Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia $1 https://orcid.org/0000000349469099
- 700 1_
- $a Milne, Roger L $u Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia $u Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia $u Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia $1 https://orcid.org/0000000157647268
- 700 1_
- $a Hofmann, Jonathan N $u Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
- 700 1_
- $a Zaucha, Jan Maciej $u Department of Hematology and Transplantology, Medical Univeristy of Gdańsk, Gdańsk, Poland $1 https://orcid.org/0000000209868936
- 700 1_
- $a Vangsted, Annette Juul $u Department of Haematology, Rigshospitalet, Copenhagen University, Copenhagen, Denmark $1 https://orcid.org/000000022131731X
- 700 1_
- $a Goldschmidt, Hartmut $u Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany $1 https://orcid.org/0000000309610035
- 700 1_
- $a Rajkumar, S Vincent $u Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota $1 https://orcid.org/0000000258621833
- 700 1_
- $a Tomczak, Waldemar $u Department of Hematooncology and Bone Marrow Transplantation, Medical University of Lublin, Poland $1 https://orcid.org/0000000232055781
- 700 1_
- $a Sainz, Juan $u Genomic Oncology Area, GENYO. Centre for Genomics and Oncological Research: Pfizer, University of Granada/Andalusian Regional Government, Granada, Spain $u Hematology department, Virgen de las Nieves University Hospital, Granada, Spain $1 https://orcid.org/0000000293552423
- 700 1_
- $a Butrym, Aleksandra $u Department of Internal and Occupational Diseases, Medical University Wroclaw, Wroclaw, Poland
- 700 1_
- $a Watek, Marzena $u Hematology Clinic, Holycross Cancer Center, Kielce, Poland $1 https://orcid.org/000000023996200X
- 700 1_
- $a Iskierka-Jazdzewska, Elżbieta $u Department of Hematology, Medical University of Lodz, Lodz, Poland $1 https://orcid.org/0000000327728870
- 700 1_
- $a Buda, Gabriele $u Clinical and Experimental Medicine, Section of Hematology, University of Pisa, Pisa, Italy $1 https://orcid.org/0000000252405611
- 700 1_
- $a Robinson, Dennis P $u Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
- 700 1_
- $a Jurczyszyn, Artur $u Plasma Cell Dyscrasias Center, Department of Hematology, Faculty of Medicine, Jagiellonian University, Kraków, Poland
- 700 1_
- $a Dudziński, Marek $u Department of Hematology, Institute of Medical Sciences, College of Medical Sciences, University of Rzeszów, Rzeszów, Poland $1 https://orcid.org/0000000151970785
- 700 1_
- $a Martinez-Lopez, Joaquin $u Servicio de Hematología Centro de Actividades Ambulatorias, Madrid, Spain $1 https://orcid.org/0000000179080063
- 700 1_
- $a Sinnwell, Jason P $u Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota $1 https://orcid.org/0000000319645522
- 700 1_
- $a Slager, Susan L $u Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota $1 https://orcid.org/0000000251734712
- 700 1_
- $a Jamroziak, Krzysztof $u Department of Hematology, Transplantation and Internal Disease, Medical University of Warsaw, Warsaw, Poland
- 700 1_
- $a Reis, Rui Manuel Vieira $u Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal and ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal $u Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil $1 https://orcid.org/0000000296397940
- 700 1_
- $a Weinhold, Niels $u Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany $u CCU Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany $1 https://orcid.org/0000000254643234
- 700 1_
- $a Bhatti, Parveen $u Division of Population Oncology Cancer Control Research, BC Cancer, Vancouver, Bristish Columbia, Canada $u Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington $1 https://orcid.org/0000000317091781
- 700 1_
- $a Carvajal-Carmona, Luis G $u Department of Biochemistry and Molecular Medicine, School of Medicine, University of California Davis, Sacramento, California $u Latinos United for Cancer Health Advancement Initiative, University of California Davis Comprehensive Cancer Center, Sacramento, California $u Community Engagement Program, Clinical and Translational Science Center, University of California Davis, Sacramento, California $1 https://orcid.org/0000000171292918
- 700 1_
- $a Zawirska, Daria $u Department of Hematology, University Hospital of Cracow, Cracow, Poland $1 https://orcid.org/0000000247328527
- 700 1_
- $a Norman, Aaron D $u Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
- 700 1_
- $a Mazur, Grzegorz $u Department of Internal and Occupational Diseases, Medical University Wroclaw, Wroclaw, Poland $1 https://orcid.org/0000000166102008
- 700 1_
- $a Berndt, Sonja I $u Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland $1 https://orcid.org/0000000152300652
- 700 1_
- $a Campa, Daniele $u Department of Biology, University of Pisa, Pisa, Italy
- 700 1_
- $a Vachon, Celine M $u Division of Epidemiology, Department of Quantitative Sciences, Mayo Clinic, Rochester, Minnesota $1 https://orcid.org/0000000219629322
- 700 1_
- $a Canzian, Federico $u Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany $1 https://orcid.org/0000000242614583
- 773 0_
- $w MED00006442 $t Cancer epidemiology, biomarkers & prevention $x 1538-7755 $g Roč. 31, č. 9 (2022), s. 1863-1866
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/35700034 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y p $z 0
- 990 __
- $a 20221017 $b ABA008
- 991 __
- $a 20221031101055 $b ABA008
- 999 __
- $a ok $b bmc $g 1854281 $s 1175771
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2022 $b 31 $c 9 $d 1863-1866 $e 2022Sep02 $i 1538-7755 $m Cancer epidemiology, biomarkers & prevention $n Cancer Epidemiol Biomarkers Prev $x MED00006442
- LZP __
- $a Pubmed-20221017
