Polymorphisms within Autophagy-Related Genes as Susceptibility Biomarkers for Multiple Myeloma: A Meta-Analysis of Three Large Cohorts and Functional Characterization

Esther Clavero, José Manuel Sanchez-Maldonado, Angelica Macauda, Rob Ter Horst, Belém Sampaio-Marques, Artur Jurczyszyn, Alyssa Clay-Gilmour, Angelika Stein, Michelle A.T. Hildebrandt, Niels Weinhold, Gabriele Buda, Ramón García-Sanz, Waldemar Tomczak, Ulla Vogel, Andrés Jerez, Daria Zawirska, Marzena Wątek, Jonathan N. Hofmann, Stefano Landi, John J. SpinelliAleksandra Butrym, Abhishek Kumar, Joaquín Martínez-López, Sara Galimberti, María Eugenia Sarasquete, Edyta Subocz, Elzbieta Iskierka-Jażdżewska, Graham G. Giles, Malwina Rybicka-Ramos, Marcin Kruszewski, Niels Abildgaard, Francisco García Verdejo, Pedro Sánchez Rovira, Miguel Inacio da Silva Filho, Katalin Kadar, Małgorzata Razny, Wendy Cozen, Matteo Pelosini, Manuel Jurado, Parveen Bhatti, Marek Dudzinski, Agnieszka Druzd-Sitek, Enrico Orciuolo, Yang Li, Aaron D. Norman, Jan Maciej Zaucha, Rui Manuel Reis, Miroslaw Markiewicz, Juan José Rodríguez Sevilla, Vibeke Andersen, Krzysztof Jamroziak, Kari Hemminki, Sonja I. Berndt, Vicent Rajkumar, Grzegorz Mazur, Shaji K. Kumar, Paula Ludovico, Arnon Nagler, Stephen J. Chanock, Charles Dumontet, Mitchell J. Machiela, Judit Varkonyi, Nicola J. Camp, Elad Ziv, Annette Juul Vangsted, Elizabeth E. Brown, Daniele Campa, Celine M. Vachon, Mihai G. Netea, Federico Canzian, Asta Försti, Juan Sainz*

*Corresponding author af dette arbejde

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Abstract

Multiple myeloma (MM) arises following malignant proliferation of plasma cells in the bone marrow, that secrete high amounts of specific monoclonal immunoglobulins or light chains, resulting in the massive production of unfolded or misfolded proteins. Autophagy can have a dual role in tumorigenesis, by eliminating these abnormal proteins to avoid cancer development, but also ensuring MM cell survival and promoting resistance to treatments. To date no studies have determined the impact of genetic variation in autophagy-related genes on MM risk. We performed meta-analysis of germline genetic data on 234 autophagy-related genes from three independent study populations including 13,387 subjects of European ancestry (6863 MM patients and 6524 controls) and examined correlations of statistically significant single nucleotide polymorphisms (SNPs; p < 1 × 10−9) with immune responses in whole blood, peripheral blood mononuclear cells (PBMCs), and monocyte-derived macrophages (MDM) from a large population of healthy donors from the Human Functional Genomic Project (HFGP). We identified SNPs in six loci, CD46, IKBKE, PARK2, ULK4, ATG5, and CDKN2A associated with MM risk (p = 4.47 × 10−4−5.79 × 10−14). Mechanistically, we found that the ULK4rs6599175 SNP correlated with circulating concentrations of vitamin D3 (p = 4.0 × 10−4), whereas the IKBKErs17433804 SNP correlated with the number of transitional CD24+CD38+ B cells (p = 4.8 × 10−4) and circulating serum concentrations of Monocyte Chemoattractant Protein (MCP)-2 (p = 3.6 × 10−4). We also found that the CD46rs1142469 SNP correlated with numbers of CD19+ B cells, CD19+CD3 B cells, CD5+IgD cells, IgM cells, IgDIgM cells, and CD4CD8 PBMCs (p = 4.9 × 10−4−8.6 × 10−4) and circulating concentrations of interleukin (IL)-20 (p = 0.00082). Finally, we observed that the CDKN2Ars2811710 SNP correlated with levels of CD4+EMCD45RO+CD27 cells (p = 9.3 × 10−4). These results suggest that genetic variants within these six loci influence MM risk through the modulation of specific subsets of immune cells, as well as vitamin D3, MCP-2, and IL20-dependent pathways.

OriginalsprogEngelsk
Artikelnummer8500
TidsskriftInternational Journal of Molecular Sciences
Vol/bind24
Udgave nummer10
Antal sider20
ISSN1661-6596
DOI
StatusUdgivet - 2023

Bibliografisk note

Funding Information:
This work was supported by the European Union’s Horizon 2020 research and innovation program, N° 856620 and by grants from the Instituto de Salud Carlos III and FEDER (Madrid, Spain; PI17/02256 and PI20/01845), Consejería de Transformación Económica, Industria, Conocimiento y Universidades and FEDER (PY20/01282), from the CRIS foundation against cancer, from the Cancer Network of Excellence (RD12/10 Red de Cáncer), from the Dietmar Hopp Foundation and the German Ministry of Education and Science (BMBF: CLIOMMICS [01ZX1309]), and from National Cancer Institute of the National Institutes of Health under award numbers: R01CA186646, U01CA249955 (EEB). This work was also funded d by Portuguese National funds, through the Foundation for Science and Technology (FCT)—project UIDB/50026/2020 and UIDP/50026/2020 and by the project NORTE-01-0145-FEDER-000055, supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF).

Publisher Copyright:
© 2023 by the authors.

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