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Abildgaard, Niels

https://orcid.org/0000-0001-6852-2014

Mayo Clinic

Odense University Hospital

Citations 4

Polymorphisms within Autophagy-Related Genes as Susceptibility Biomarkers for Multiple Myeloma: A Meta-Analysis of Three Large Cohorts and Functional Characterization
Clavero, Esther, Sánchez‐Maldonado, José Manuel , Macauda, Angelica , Sampaio‐Marques, Belém , Jurczyszyn, Artur , Clay‐Gilmour, Alyssa , Stein, Angelika, Weinhold, Niels , Buda, Gabriele , García‐Sánz, Ramón , Tomczak, Waldemar , Vogel, Ulla , Jerez, Andrés , Zawirska, Daria , Wątek, Marzena , Landi, Stefano , Spinelli, John J. , Butrym, Aleksandra , Martínez‐López, Joaquín , Galimberti, Sara , Sarasquete, María Eugenia , Subocz, Edyta , Iskierka‐Jazdzewska, Elżbieta , Giles, Graham G. , Rybicka‐Ramos, Malwina, Kruszewski, Marcin , Abildgaard, Niels , Verdejo, Francisco García, Sánchez‐Rovira, Pedro , Filho, Miguel Inácio da Silva, Kádár, Katalin , Raźny, Małgorzata , Pelosini, Matteo , Jurado, Manuel , Bhatti, Parveen , Dudziński, Marek , Druzd‐Sitek, Agnieszka , Li, Yang , Zaucha, Jan Maciej , Reis, Rui Manuel , Markiewicz, Mirosław , Rodríguez‐Sevilla, Juan José , Andersen, Vibeke , Hemminki, Kari , Berndt, Sonja I. , Rajkumar, Vicent, Mazur, Grzegorz , Kumar, Shaji , Ludovico, Paula , Nagler, Arnon , Machiela, Mitchell J. , Várkonyi, Judit , Camp, Nicola J. , Ziv, Elad , Brown, Elizabeth E. , Campa, Daniele , Vachon, Celine M. , Netea, Mihai G. , Canzian, Federico , Försti, Asta , Sáinz, Juan , Martinez-Lopez, Joaquin , Sampaio-Marques, Belém , Jurczyszyn, Artur , Clay-Gilmour, Alyssa, Tomczak, Waldemar , Vogel, Ulla , Jerez, Andrés , Landi, Stefano , Butrym, Aleksandra , Galimberti, Sara , Subocz, Edyta , Iskierka-Jazdzewska, Elżbieta , Giles, Graham G , Kadar, Katalin , Li, Yang , Zaucha, Jan Maciej , Reis, Rui Manuel , Markiewicz, Miroslaw , Rodríguez-Sevilla, Juan José , Andersen, Vibeke , Hemminki, Kari , Mazur, Grzegorz , Ludovico, Paula , Canzian, Federico , Försti, Asta , Sainz, Juan , Martinez-Lopez, Joaquin , Garcia-Sanz, Ramon , Bhatti, Parveen , Ziv, Elad , Machiela, Mitchell J , Watek, Marzena , Martinez-Lopez, Joaquin , Horst, Rob ter , Hildebrandt, Michelle A.T. , Hofmann, Jonathan N. , Kumar, Abhishek , Verdejo, Francisco José García, Cozen, Wendy , Orciuolo, Enrico , Norman, Aaron D. , Jamroziak, Krzysztof , Chanock, Stephen Jacob , Dumontet, Charles , Vangsted, Annette Juul , Vachon, Celine M. , Netea, M. G.

International Journal of Molecular Sciences | May 10, 2023 | Volume: 24 | Issue: 10 | Pages: 8500

10.3390/ijms24108500 Get It

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, IgD−IgM− cells, and CD4−CD8− 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.
Expression quantitative trait loci of genes predicting outcome are associated with survival of multiple myeloma patients
Macauda, Angelica , Piredda, Chiara , Clay‐Gilmour, Alyssa , Sáinz, Juan , Buda, Gabriele , Markiewicz, Mirosław , Barington, Torben , Ziv, Elad , Hildebrandt, Michelle A.T. , Belachew, Alem A. , Várkonyi, Judit , Prejzner, Witold , Druzd‐Sitek, Agnieszka , Spinelli, John J. , Andersen, Niels Frost, Dudziński, Marek , Martínez‐López, Joaquín , Iskierka‐Jazdzewska, Elżbieta , Mazur, Grzegorz , Ebbesen, Lene Hyldahl, Rymko, Marcin , Subocz, Edyta , Reis, Rui Manuel , García‐Sánz, Ramón , Suska, Anna , Haastrup, Eva, Zawirska, Daria , Grząśko, Norbert , Kruszewski, Marcin , Dutka, Magdalena , Camp, Nicola J. , Waller, Rosalie, Pelosini, Matteo , Raźny, Małgorzata , Abildgaard, Niels , Wątek, Marzena , Brown, Elizabeth E. , Berndt, Sonja I. , Butrym, Aleksandra , Vachon, Celine M. , Gemignani, Federica , Campa, Daniele , Martinez-Lopez, Joaquin , Waller, Rosalie G. , Griffin, R. L. , Canzian, Federico , Campa, Daniele , Martinez-Lopez, Joaquin , Butrym, Aleksandra , Reis, Rui Manuel , Garcia-Sanz, Ramon , Ziv, Elad , Waller, Rosalie G , Rymko, Marcin , Subocz, Edyta , Tomczak, Waldemar , Sainz, Juan , Watek, Marzena , Iskierka-Jazdzewska, Elżbieta , Martinez-Lopez, Joaquin , Mazur, Grzegorz , Hildebrandt, Michelle A T , Markiewicz, Miroslaw , Macauda, Angelica , Griffin, Rosalie , Hofmann, Jonathan N. , Milne, Roger L. , Giles, Graham G. , Jamroziak, Krzysztof , Vangsted, Annette Juul , Dumontet, Charles , Tomczak, Waldemar , Marques, Herlander , Jurczyszyn, Artur , Vachon, Celine M. , Norman, Aaron D. , Slager, Susan L. , Canzian, Federico

International Journal of Cancer | March 6, 2021 | Volume: 149 | Issue: 2 | Pages: 327-336

10.1002/ijc.33547 Get It

AbstractGene expression profiling can be used for predicting survival in multiple myeloma (MM) and identifying patients who will benefit from particular types of therapy. Some germline single nucleotide polymorphisms (SNPs) act as expression quantitative trait loci (eQTLs) showing strong associations with gene expression levels. We performed an association study to test whether eQTLs of genes reported to be associated with prognosis of MM patients are directly associated with measures of adverse outcome. Using the genotype‐tissue expression portal, we identified a total of 16 candidate genes with at least one eQTL SNP associated with their expression with P < 10−7 either in EBV‐transformed B‐lymphocytes or whole blood. We genotyped the resulting 22 SNPs in 1327 MM cases from the International Multiple Myeloma rESEarch (IMMEnSE) consortium and examined their association with overall survival (OS) and progression‐free survival (PFS), adjusting for age, sex, country of origin and disease stage. Three polymorphisms in two genes (TBRG4‐rs1992292, TBRG4‐rs2287535 and ENTPD1‐rs2153913) showed associations with OS at P < .05, with the former two also associated with PFS. The associations of two polymorphisms in TBRG4 with OS were replicated in 1277 MM cases from the International Lymphoma Epidemiology (InterLymph) Consortium. A meta‐analysis of the data from IMMEnSE and InterLymph (2579 cases) showed that TBRG4‐rs1992292 is associated with OS (hazard ratio = 1.14, 95% confidence interval 1.04‐1.26, P = .007). In conclusion, we found biologically a plausible association between a SNP in TBRG4 and OS of MM patients.
Findings of Whole Body Computed Tomography Compared to Conventional Skeletal Survey in Patients with Monoclonal Plasma Cell Disorders - a Study of the International Myeloma Working Group
Hillengaß, Jens , Delorme, Stefan , Hielscher, Thomas , Engelhart, Jessica, Øestergaard, Brian, Abildgaard, Niels , Plesner, Torben , Withofs, Nadia , Goldschmidt, Hartmut , Lentzsch, Suzanne , Durie, Brian G.M. , Terpos, Evangelos , Terpos, Evangelos , Moulopoulos, Lia Angela , Koutoulidis, Vassilis , Drake, Matthew T. , Rajkumar, S. Vincent , Hinge, Maja , Suehara, Yasuhito , Matsue, Kosei , Caers, Jo , Dimopoulos, Meletios Α.

Blood | October 11, 2019 | Volume: 128 | Issue: 22 | Pages: 4468-4468

10.1182/blood.v128.22.4468.4468 Get It

Abstract Introduction: For decades conventional skeletal survey (CSS) has been the standard imaging technique for the detection of bone impairment caused by Multiple Myeloma (MM). The development of cross-sectional imaging techniques like Whole Body Computed Tomography (WBCT) with or without Positron Emission Tomography (PET/PET-CT) and magnetic resonance imaging (MRI) led to the use of these techniques in several centers worldwide and to the implementation of their findings into the revised diagnostic criteria of MM. The aim of the current multicenter study was to compare sensitivity and prognostic significance of WBCT and CSS in patients with monoclonal plasma disorders. Methods: For the current retrospective analysis 308 patients with different stages of monoclonal plasma cell disorders from 8 centers were included. Compact discs with pseudonymized imaging data of WBCT and CSS were sent to the organizing center and uploaded to the picture archiving and communication system. In addition, questionnaires were completed by each center to collect clinical data of the patients. Image analysis was performed in consensus reading by three experienced radiologists (LAM, SD, VK) blinded to the clinical data of the patients. Osteolytic lesions in 19 pre-specified anatomic regions were characterized as "definitely present", "probably present", "probably absent" and "definitely absent". For the analysis only "definitely present" and "probably present" entries were counted as myeloma lesions. To define symptomatic or active versus smoldering myeloma based on the presence of bone lesions, findings of CSS were used to simulate the situation before the introduction of WBCT. For comparison of WBCT and CSS only those anatomic regions having valid measurements from both methods performed within 30 days without treatment in the meantime were considered. WBCT and CSS were tested for differences in detection sensitivity with the exact McNemar test. Results: Of 308 submitted datasets; 160 patients were without prior treatment and 56 of them had smoldering myeloma. Of 160 patients 80 (50%) had no osteolytic lesions on either CSS or WBCT and 33 (20.6%) showed osteolyses on both techniques. In 9 patients (5.6%) osteolyses were found on CSS but not in WBCT while 38 patients (23.8%) were positive on CT alone. Of note is that for some CT-scans, the upper extremities were not evaluable due to positioning during the examination. Odds ratio for osteolyses on WBCT compared to CSS was 4.22 (P < 0.0001). The regions where WBCT was most significantly superior in detecting osteolyses were the iliac bone, thoracic and lumbar spine as well as the ribs. CSS compared to WBCT revealed osteolyses in more patients only in the proximal extremities: for left humerus 10 (6.5%) versus 3 (1.9%), right humerus 12 (7.7%) versus 4 (2.6%), left femur 11 (7.1%) versus 7 (4.5%) and right femur 10 (6.5%) versus 8 (5.2%) respectively. Of 157 evaluable patients 63 (40.1%) showed osteoporosis (defined by radiological criteria) on both techniques while 29 (18.5%) had osteoporosis on WBCT only and 10 (6.4%) on CSS only (OR 2.90, P = 0.003). In the 56 patients with smoldering myeloma, with bone disease being defined according to the findings of CSS 12 (21.4%), were positive for osteolyses on WBCT (P = 0.0005). Conclusion: WBCT shows significantly more sites of bone destruction compared to conventional X-ray imaging particularly in skeletal regions composed primarily of trabecular bone while CSS shows more osteolyses in the appendicular skeleton - in part due to a limited field of view. More than 20% of patients with smoldering myeloma based on CSS have active disease that needs treatment based on WBCT. Therefore, WBCT is the current standard for the detection of osteolytic lesions in myeloma. The prognostic significance of WBCT and CSS findings for survival and correlation with clinical parameters will be reported at the meeting. Disclosures Hillengass: Celgene: Honoraria; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Honoraria; Novartis: Research Funding; Amgen: Consultancy, Honoraria; Sanofi: Research Funding. Plesner:Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding. Dimopoulos:Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Genesis: Consultancy, Honoraria. Goldschmidt:Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding; Chugai: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium: Membership on an entity's Board of Directors or advisory committees, Research Funding; Onyx: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees. Lentzsch:Celgene: Consultancy, Honoraria; BMS: Consultancy. Terpos:Takeda: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Genesis: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Novartis: Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Celgene: Honoraria.
PF626 HEALTH‐RELATED QUALITY OF LIFE (HRQOL) OUTCOMES OF ORAL IXAZOMIB MAINTENANCE THERAPY POST AUTOLOGOUS STEM CELL TRANSPLANT (ASCT) IN NEWLY DIAGNOSED MULTIPLE MYELOMA (NDMM) FROM TOURMALINE‐MM3
Goldschmidt, Hartmut , Spicka, I., Abildgaard, Niels , Rowlings, Philip, Odom, Dawn , Suryanarayan, Kaveri , Romanus, Dorothy , Schjesvold, Fredrik , Maisnar, Vladimír , Spicka, I., Gnanasakthy, Ari , Cain, L., Rajkumar, S. Vincent , Dimopoulos, Meletios Α.

HemaSphere | June 17, 2019 | Volume: 3 | Issue: S1 | Pages: 266-267

10.1097/01.hs9.0000560788.86257.a3 Get It

Background:Maintenance therapy (MT) in NDMM has been increasingly used to prolong duration of response achieved by ASCT. TOURMALINE‐MM3 is a phase 3, double‐blind, placebo‐controlled study, where ixazomib improved PFS, and is the first study to evaluate the impact of MT on HRQoL post ASCT in NDMM (Dimopoulos et al., Lancet 2019;393:253). HRQoL is an important consideration during MT in NDMM patients with minimal disease burden post ASCT (Anderson et al., Leukemia 2008;22:231).Aims:To assess HRQoL in patients randomized to ixazomib vs. placebo MT in TOURMALINE‐MM3.Methods:In TOURMALINE‐MM3, NDMM patients post ASCT were randomly assigned in a 3:2 ratio to oral ixazomib or matching placebo. HRQoL was assessed by EORTC QLQ‐C30 (overall/subscale score range, 1–100) at screening, the start of every cycle (1–26), end of treatment, every 4 weeks until start of next line of therapy after progression and twice thereafter. MM‐specific symptoms were assessed by EORTC QLQ‐MY20 (subscale score range, 1–100) at screening, the start of every 3 cycles between cycles 1–25, end of treatment, every 4 weeks until start of next line of therapy after progression and twice thereafter. For both instruments, higher scores for global and functional domains indicate better HRQoL, while higher scores on symptom scales represent higher levels of symptomatology. Change from study entry in subscale scores, defined in terms of 30 four‐week intervals, was analyzed using a linear mixed‐effects model among patients who reported HRQoL outcomes at study entry and completed at least one post‐study entry assessment.Results:Characteristics at study entry were well balanced between ixazomib (n = 386) and placebo (n = 251) arms; median age: 58 years; ECOG performance status 0–1: 97%; 79% had at least a very good partial response post ASCT at study entry. At study entry, least squares (LS) mean scores for ixazomib vs. placebo on the EORTC QLQ‐C30 were: Global Health Status/QoL, 69.8 vs. 69.1; Physical Functioning, 82.1 vs. 82.0; Pain, 25.3 vs. 25.7; Nausea/Vomiting, 2.3 vs. 2.0; Diarrhea, 5.9 vs. 6.0; and on the EORTC QLQ‐MY20 were: Disease Symptoms, 20.3 vs. 19.2; Peripheral Neuropathy, 25.0 vs. 25.6. Compliance with study assessments, averaged across cycles, was high in the treatment phase (≥94%) and similar between treatment groups.Changes in subscale scores across the 4‐week intervals were generally similar between the ixazomib and placebo groups, with treatment differences not reaching the established minimal important difference (MID) of 10 in MM (Kvam et al., Eur J Haematol 2011;87:330). LS mean (95% CI) score changes at interval 24 (week 96) for ixazomib vs. placebo on the EORTC QLQ‐C30 included: Global Health Status/QoL, –0.4 (–3.4, 2.7) vs. 1.8 (–1.7, 5.2); Physical Functioning, 0.7 (–1.8, 3.1) vs. 3.0 (0.3, 5.8); Pain, 4.1 (0.5, 7.7) vs. –1.4 (–5.5, 2.7); and on the EORTC QLQ‐MY20 were: Disease Symptoms, 5.1 (2.4, 7.9) vs. 0.8 (–2.3, 3.8); Peripheral Neuropathy, –0.7 (–5.1, 3.7) vs. –6.2 (–11.1, –1.3). EORTC QLQ‐C30 Nausea/Vomiting and Diarrhea subscales, while consistently worse for ixazomib than placebo (LS mean [95% CI] change at interval 24, 5.0 [3.0, 7.0] vs. 1.0 [–1.3, 3.3] and 4.0 [1.1, 6.8] vs. 0.5 [–2.8, 3.8], respectively), were in line with the ixazomib toxicity profile; treatment differences did not exceed the MID.Summary/Conclusion:In addition to improvements in PFS with ixazomib, HRQoL was maintained during the protocol‐defined treatment period in both arms, and active treatment with ixazomib did not have an adverse impact on HRQoL.