Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Nature Communications
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. nature communications
  3. articles
  4. article
Daratumumab in high-risk MGUS and low-risk smoldering myeloma: results of the Phase II D-PRISM study
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 08 April 2026

Daratumumab in high-risk MGUS and low-risk smoldering myeloma: results of the Phase II D-PRISM study

  • Omar Nadeem  ORCID: orcid.org/0000-0002-4124-42771,2,3 na1,
  • Michelle P. Aranha1,2,4,5 na1,
  • Robert A. Redd6,
  • Michael Koontz7,
  • Jeffrey V. Matous8,
  • Andrew J. Yee  ORCID: orcid.org/0000-0003-3623-74919,
  • Jeffrey A. Zonder10,
  • Andrew Kin  ORCID: orcid.org/0000-0002-3263-237410,
  • Sophie Magidson  ORCID: orcid.org/0009-0007-4225-135X1,2,
  • Elizabeth D. Lightbody1,2,4,5,
  • Ting Wu4,
  • Floris Chabrun1,2,11,12,
  • Jean-Baptiste Alberge  ORCID: orcid.org/0000-0002-4218-72941,2,4,5,
  • Ankit K. Dutta1,2,4,5,
  • Jacqueline Perry1,2,
  • Ashlee Sturtevant1,2,
  • Mahshid Rahmat1,2,
  • Junko Tsuji4,
  • Christine Davie1,2,
  • Caroline Ricciardi1,2,
  • Frances Arters  ORCID: orcid.org/0000-0002-3924-26781,2,
  • Marjorie Marto1,2,
  • Amy Bergeron1,2,
  • Jacalyn Rosenblatt13,
  • Elizabeth K. O’Donnell1,2,
  • Tarek H. Mouhieddine  ORCID: orcid.org/0000-0002-1190-59781,2,3,
  • Lorena Pantano1,2,14,
  • Jacob P. Laubach2,3,
  • Paul G. Richardson2,3,
  • Gad Getz  ORCID: orcid.org/0000-0002-0936-07534,9,15,
  • Lorenzo Trippa6,
  • Romanos Sklavenitis-Pistofidis1,2,4,5 na2 &
  • …
  • Irene M. Ghobrial  ORCID: orcid.org/0000-0001-7361-30921,2,4,5 na2 

Nature Communications , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Biomarkers
  • Myeloma

Abstract

Daratumumab is approved for patients with multiple myeloma (MM) and high-risk smoldering MM (HR-SMM). However, HR-SMM is often as genomically complex as MM, suggesting it may be too advanced for single-agent intervention. We report on a Phase II trial of single-agent daratumumab in patients with earlier-stage disease, including high-risk monoclonal gammopathy of undetermined significance and low-risk SMM, to test if earlier treatment can induce deep responses and prevent progression to MM (D-PRISM/NCT03236428, n = 41). As primary outcome, the rate of Very Good Partial Response or better is 17% (95% CI: 7–32), which is comparable to what was observed in HR-SMM and does not meet the study’s primary endpoint. The overall response rate is 54%, with two patients developing MM and 51% biochemical progression. Grade 3 or higher toxicities include hypertension (7%), diarrhea (2%), flu-like symptoms (2%), and headache (2%). Genomic and immune variables associated with biochemical progression are identified in exploratory analyses leveraging whole-genome and single-cell RNA-sequencing. This study demonstrates that, although less effective than expected, daratumumab is safe and can induce deep responses in certain early-stage patients, highlighting the importance of adopting genomic and immune profiling to improve patient selection and maximize the benefit/risk ratio in trials of early intervention.

Similar content being viewed by others

Genomic and immune determinants of resistance to daratumumab-based therapy in relapsed refractory multiple myeloma

Article Open access 19 July 2024

Daratumumab plus lenalidomide maintenance in newly diagnosed multiple myeloma after transplant: AURIGA subgroup analyses

Article Open access 06 October 2025

Deeper response predicts better outcomes in high-risk-smoldering-myeloma: results of the I-PRISM phase II clinical trial

Article Open access 03 January 2025

Data availability

Data generated for this study were deposited in a controlled-access repository (dbGaP) in accordance with privacy requirements set forth in the informed consent forms signed by study participants. Access to this dataset can be obtained by registering the investigator’s institution in eRA Commons, establishing an eRA Commons account for the investigator and submitting a Data Access Request through the dbGaP Authorized Access website; following authorization by the requesting institution’s signing official and review by NIH staff, the request may be approved for data download. Raw and processed single-cell RNA-sequencing data are deposited in dbGaP (phs004127.v1.p1, https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs004127.v1.p1). Raw WGS data used for cytogenetic classification are also deposited in dbGaP (phs003846.v1.p1, https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs003846.v1.p1)33. Outcome and toxicity data for all patients in the trial are provided in Supplementary Data 1 and the study protocol is provided in the Supplementary Information file. Source data are provided with this paper.

Code availability

R code used to conduct scRNAseq analyses has been deposited to Github (https://github.com/ghobriallab/Nat_Comm_2026_D-PRISM_STUDY) and accessioned on Zenodo58.

References

  1. Kyle, R. A. et al. Long-term follow-up of monoclonal gammopathy of undetermined significance. N. Engl. J. Med. 378, 241–249 (2018).

    Google Scholar 

  2. Kyle, R. A. et al. A long-term study of prognosis in monoclonal gammopathy of undetermined significance. N. Engl. J. Med. 346, 564–569 (2002).

    Google Scholar 

  3. Kyle, R. A. et al. Clinical course and prognosis of smoldering (asymptomatic) multiple myeloma. N. Engl. J. Med. 356, 2582–2590 (2007).

    Google Scholar 

  4. Kyle, R. A. et al. Prevalence of monoclonal gammopathy of undetermined significance. N. Engl. J. Med. 354, 1362–1369 (2006).

    Google Scholar 

  5. Rajkumar, S. V. et al. International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma. Lancet Oncol. 15, e538–e548 (2014).

    Google Scholar 

  6. Santockyte, R. et al. Sensitive multiple myeloma disease monitoring by mass spectrometry. Blood Cancer J. 11, 78 (2021).

    Google Scholar 

  7. Murray, D. et al. Detection and prevalence of monoclonal gammopathy of undetermined significance: a study utilizing mass spectrometry-based monoclonal immunoglobulin rapid accurate mass measurement. Blood Cancer J. 9, 102 (2019).

    Google Scholar 

  8. Barnidge, D. R. et al. Using mass spectrometry to monitor monoclonal immunoglobulins in patients with a monoclonal gammopathy. J. Proteome Res. 13, 1419–1427 (2014).

    Google Scholar 

  9. Landgren, O. et al. Prevalence of myeloma precursor state monoclonal gammopathy of undetermined significance in 12372 individuals 10-49 years old: a population-based study from the National Health and Nutrition Examination Survey. Blood Cancer J. 7, e618 (2017).

    Google Scholar 

  10. Landgren, O. et al. Racial disparities in the prevalence of monoclonal gammopathies: a population-based study of 12,482 persons from the National Health and Nutritional Examination Survey. Leukemia 28, 1537–1542 (2014).

    Google Scholar 

  11. El-Khoury, H. et al. Prevalence of monoclonal gammopathies and clinical outcomes in a high-risk US population screened by mass spectrometry: a multicentre cohort study. Lancet Haematol. 9, e340–e349 (2022).

  12. Rajkumar, S. V. & Kumar, S. Monoclonal gammopathy of undetermined significance. N. Engl. J. Med. 393, 1315–1326 (2025).

    Google Scholar 

  13. Rajkumar, S. V. et al. Serum free light chain ratio is an independent risk factor for progression in monoclonal gammopathy of undetermined significance. Blood 106, 812–817 (2005).

    Google Scholar 

  14. Mateos, M. V. et al. International Myeloma Working Group risk stratification model for smoldering multiple myeloma (SMM). Blood Cancer J. 10, 102 (2020).

    Google Scholar 

  15. Lakshman, A. et al. Risk stratification of smoldering multiple myeloma incorporating revised IMWG diagnostic criteria. Blood Cancer J. 8, 59 (2018).

    Google Scholar 

  16. Rajkumar, S. V. et al. Impact of primary molecular cytogenetic abnormalities and risk of progression in smoldering multiple myeloma. Leukemia 27, 1738–1744 (2013).

    Google Scholar 

  17. Rajkumar, S. V., Landgren, O. & Mateos, M. V. Smoldering multiple myeloma. Blood 125, 3069–3075 (2015).

    Google Scholar 

  18. Bustoros, M. et al. Genomic profiling of smoldering multiple myeloma identifies patients at a high risk of disease progression. J. Clin. Oncol. 38, 2380–2389 (2020).

    Google Scholar 

  19. Misund, K. et al. MYC dysregulation in the progression of multiple myeloma. Leukemia 34, 322–326 (2020).

    Google Scholar 

  20. Boyle, E. M. et al. The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma. Nat. Commun. 12, 293 (2021).

    Google Scholar 

  21. Bolli, N. et al. Genomic patterns of progression in smoldering multiple myeloma. Nat. Commun. 9, 3363 (2018).

    Google Scholar 

  22. Kazandjian, D. et al. Genomic profiling to contextualize the results of intervention for smoldering multiple myeloma. Clin. Cancer Res. 30, 4482–4490 (2024).

    Google Scholar 

  23. Oben, B. et al. Whole-genome sequencing reveals progressive versus stable myeloma precursor conditions as two distinct entities. Nat. Commun. 12, 1861 (2021).

    Google Scholar 

  24. Go, R. S. & Rajkumar, S. V. How I manage monoclonal gammopathy of undetermined significance. Blood 131, 163–173 (2018).

    Google Scholar 

  25. Visram, A., Cook, J. & Warsame, R. Smoldering multiple myeloma: evolving diagnostic criteria and treatment strategies. Hematology 2021, 673–681 (2021).

    Google Scholar 

  26. Rajkumar, S. V. et al. Smoldering multiple myeloma current treatment algorithms. Blood Cancer J. 12, 129 (2022).

    Google Scholar 

  27. Mateos, M. V. et al. Lenalidomide plus dexamethasone versus observation in patients with high-risk smouldering multiple myeloma (QuiRedex): long-term follow-up of a randomised, controlled, phase 3 trial. Lancet Oncol. 17, 1127–1136 (2016).

    Google Scholar 

  28. Mateos, M. V. et al. Lenalidomide-dexamethasone versus observation in high-risk smoldering myeloma after 12 years of median follow-up time: a randomized, open-label study. Eur. J. Cancer 174, 243–250 (2022).

    Google Scholar 

  29. Lonial, S. et al. Randomized trial of lenalidomide versus observation in smoldering multiple myeloma. J. Clin. Oncol. 38, 1126–1137 (2020).

    Google Scholar 

  30. Nadeem, O. & Ghobrial, I. M. Early intervention with daratumumab improves survival for patients with high-risk smouldering myeloma. Nat. Rev. Clin. Oncol. 22, 159–160 (2025).

    Google Scholar 

  31. Dimopoulos, M. A. et al. Daratumumab or active monitoring for high-risk smoldering multiple myeloma. N. Engl. J. Med. 392, 1777–1788 (2024).

    Google Scholar 

  32. Ghobrial, I. M. et al. Round table discussion on optimal clinical trial design in precursor multiple myeloma. Blood Cancer Discov. 5, 146–152 (2024).

    Google Scholar 

  33. Alberge, J. B. et al. Genomic landscape of multiple myeloma and its precursor conditions. Nat. Genet 57, 1493–1503 (2025).

    Google Scholar 

  34. Maura, F. et al. Genomics define malignant transformation in myeloma precursor conditions. J. Clin. Oncol. 44, 188–199 (2026).

    Google Scholar 

  35. Mateos, M. V. et al. Curative strategy for high-risk smoldering myeloma: carfilzomib, lenalidomide, and dexamethasone (KRd) followed by transplant, krd consolidation, and rd maintenance. J. Clin. Oncol. 42, 3247–3256 (2024).

    Google Scholar 

  36. Kazandjian, D. et al. Carfilzomib, lenalidomide, and dexamethasone followed by lenalidomide maintenance for prevention of symptomatic multiple myeloma in patients with high-risk smoldering myeloma: a phase 2 nonrandomized controlled trial. JAMA Oncol. 7, 1678–1685 (2021).

    Google Scholar 

  37. Nadeem, O. et al. Deeper response predicts better outcomes in high-risk-smoldering-myeloma: results of the I-PRISM phase II clinical trial. Nat. Commun. 16, 358 (2025).

    Google Scholar 

  38. Avet-Loiseau, H. & Bahlis, N. J. Smoldering multiple myeloma: Taking the narrow over the wide path?. Blood 143, 2025–2028 (2024).

    Google Scholar 

  39. Dispenzieri, A. et al. International Myeloma Working Group guidelines for serum-free light chain analysis in multiple myeloma and related disorders. Leukemia 23, 215–224 (2009).

    Google Scholar 

  40. Casneuf, T. et al. Effects of daratumumab on natural killer cells and impact on clinical outcomes in relapsed or refractory multiple myeloma. Blood Adv. 1, 2105–2114 (2017).

    Google Scholar 

  41. Landgren, C. O. et al. Daratumumab monotherapy for patients with intermediate-risk or high-risk smoldering multiple myeloma: a randomized, open-label, multicenter, phase 2 study (CENTAURUS). Leukemia 34, 1840–1852 (2020).

    Google Scholar 

  42. Landgren, O. et al. Efficacy and Safety of Daratumumab (DARA) monotherapy in patients with intermediate-risk or high-risk smoldering multiple myeloma (SMM): final analysis of the phase 2 centaurus study. Blood 142, 210–210 (2023).

    Google Scholar 

  43. Sklavenitis-Pistofidis, R. et al. Immune biomarkers of response to immunotherapy in patients with high-risk smoldering myeloma. Cancer Cell 40, 1358–1373.e8 (2022).

    Google Scholar 

  44. Korst, C. L. B. M. et al. The bone marrow NK cell profile predicts MRD negativity in patients with multiple myeloma treated with daratumumab-based therapy. Blood 145, 3007–3014 (2025).

    Google Scholar 

  45. Casneuf, T. et al. Deep immune profiling of patients treated with lenalidomide and dexamethasone with or without daratumumab. Leukemia 35, 573–584 (2021).

    Google Scholar 

  46. Verkleij, C. P. M. et al. NK cell phenotype is associated with response and resistance to daratumumab in relapsed/refractory multiple myeloma. Hemasphere 7, e881 (2023).

    Google Scholar 

  47. Shemesh, A. et al. Diminished cell proliferation promotes natural killer cell adaptive-like phenotype by limiting FcepsilonRIgamma expression. J. Exp. Med. 219, e20220551 (2022).

    Google Scholar 

  48. Bigley, A. B. et al. FcepsilonRIgamma-negative NK cells persist in vivo and enhance efficacy of therapeutic monoclonal antibodies in multiple myeloma. Blood Adv. 5, 3021–3031 (2021).

    Google Scholar 

  49. Liu, W. et al. FcRgamma gene editing reprograms conventional NK cells to display key features of adaptive human NK Cells. iScience 23, 101709 (2020).

    Google Scholar 

  50. Kumar, S. et al. International Myeloma Working Group consensus criteria for response and minimal residual disease assessment in multiple myeloma. Lancet Oncol. 17, e328–e346 (2016).

    Google Scholar 

  51. Zheng, G. X. Y. et al. Massively parallel digital transcriptional profiling of single cells. Nat. Commun. 8, 14049 (2017).

    Google Scholar 

  52. Hao, Y. et al. Dictionary learning for integrative, multimodal and scalable single-cell analysis. Nat. Biotechnol. 42, 293–304 (2024).

    Google Scholar 

  53. Zavidij, O. et al. Single-cell RNA sequencing reveals compromised immune microenvironment in precursor stages of multiple myeloma. Nat. Cancer 1, 493–506 (2020).

    Google Scholar 

  54. Sklavenitis-Pistofidis, R. et al. Single-cell RNA sequencing defines distinct disease subtypes and reveals hypo-responsiveness to interferon in asymptomatic Waldenstrom’s Macroglobulinemia. Nat. Commun. 16, 1480 (2025).

    Google Scholar 

  55. Boiarsky, R. et al. Single cell characterization of myeloma and its precursor conditions reveals transcriptional signatures of early tumorigenesis. Nat. Commun. 13, 7040 (2022).

    Google Scholar 

  56. Sklavenitis-Pistofidis, R. et al. Large-scale dependency and drug screens to characterize the therapeutic vulnerabilities of multiple myeloma with 1q+. Blood 146, 89–103 (2025).

    Google Scholar 

  57. Dutta A.K., et al: MinimuMM-seq: genome sequencing of circulating tumor cells for minimally invasive molecular characterization of multiple myeloma pathology. Cancer Discov. 13, 348–363 (2022).

  58. Aranha M.P. ghobriallab/Nat_Comm_2026_D-PRISM_STUDY: study published 2026 (Version 20260209) Zenodo. https://doi.org/10.5281/zenodo.18566827 (2026).

Download references

Acknowledgements

The authors thank the patients and their families for participating in this study. Anna V. Justis, Ph.D., a medical writer employed by Dana-Farber Cancer Institute, edited this manuscript. Johnson and Johnson provided support for the clinical trial. This funder reviewed the final manuscript and approved its publication; they were not involved in the conceptualization, design, or conduct of the trial or preparation of the manuscript. Funding was also provided by the Dr. Miriam and Sheldon G. Adelson Medical Research Foundation, Cancer Research UK, and the NIH (R35CA263817 awarded to I.M.G.).

Author information

Author notes
  1. These authors contributed equally: Omar Nadeem, Michelle P. Aranha.

  2. These authors jointly supervised this work: Romanos Sklavenitis-Pistofidis, and Irene M. Ghobrial.

Authors and Affiliations

  1. Center for Early Detection and Interception of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA, USA

    Omar Nadeem, Michelle P. Aranha, Sophie Magidson, Elizabeth D. Lightbody, Floris Chabrun, Jean-Baptiste Alberge, Ankit K. Dutta, Jacqueline Perry, Ashlee Sturtevant, Mahshid Rahmat, Christine Davie, Caroline Ricciardi, Frances Arters, Marjorie Marto, Amy Bergeron, Elizabeth K. O’Donnell, Tarek H. Mouhieddine, Lorena Pantano, Romanos Sklavenitis-Pistofidis & Irene M. Ghobrial

  2. Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA

    Omar Nadeem, Michelle P. Aranha, Sophie Magidson, Elizabeth D. Lightbody, Floris Chabrun, Jean-Baptiste Alberge, Ankit K. Dutta, Jacqueline Perry, Ashlee Sturtevant, Mahshid Rahmat, Christine Davie, Caroline Ricciardi, Frances Arters, Marjorie Marto, Amy Bergeron, Elizabeth K. O’Donnell, Tarek H. Mouhieddine, Lorena Pantano, Jacob P. Laubach, Paul G. Richardson, Romanos Sklavenitis-Pistofidis & Irene M. Ghobrial

  3. Jerome Lipper Multiple Myeloma Center, Dana-Farber Cancer Institute, Boston, MA, USA

    Omar Nadeem, Tarek H. Mouhieddine, Jacob P. Laubach & Paul G. Richardson

  4. Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA

    Michelle P. Aranha, Elizabeth D. Lightbody, Ting Wu, Jean-Baptiste Alberge, Ankit K. Dutta, Junko Tsuji, Gad Getz, Romanos Sklavenitis-Pistofidis & Irene M. Ghobrial

  5. Department of Medicine, Harvard Medical School, Boston, MA, USA

    Michelle P. Aranha, Elizabeth D. Lightbody, Jean-Baptiste Alberge, Ankit K. Dutta, Romanos Sklavenitis-Pistofidis & Irene M. Ghobrial

  6. Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA

    Robert A. Redd & Lorenzo Trippa

  7. Pacific Cancer Care, Monterey, CA, USA

    Michael Koontz

  8. Colorado Blood Cancer Institute, Denver, CO, USA

    Jeffrey V. Matous

  9. Massachusetts General Hospital Cancer Center, Boston, MA, USA

    Andrew J. Yee & Gad Getz

  10. Barbara Ann Karmanos Cancer Institute, Detroit, MI, USA

    Jeffrey A. Zonder & Andrew Kin

  11. Laboratory of Biochemistry and Molecular Biology, University Hospital of Angers, Angers, France

    Floris Chabrun

  12. University of Angers, Angers, France

    Floris Chabrun

  13. Beth Israel Deaconess Medical Center, Boston, MA, USA

    Jacalyn Rosenblatt

  14. Department of Biostatistics, Harvard Chan School of Public Health, Boston, MA, USA

    Lorena Pantano

  15. Department of Pathology, Massachusetts General Hospital, Boston, MA, USA

    Gad Getz

Authors
  1. Omar Nadeem
    View author publications

    Search author on:PubMed Google Scholar

  2. Michelle P. Aranha
    View author publications

    Search author on:PubMed Google Scholar

  3. Robert A. Redd
    View author publications

    Search author on:PubMed Google Scholar

  4. Michael Koontz
    View author publications

    Search author on:PubMed Google Scholar

  5. Jeffrey V. Matous
    View author publications

    Search author on:PubMed Google Scholar

  6. Andrew J. Yee
    View author publications

    Search author on:PubMed Google Scholar

  7. Jeffrey A. Zonder
    View author publications

    Search author on:PubMed Google Scholar

  8. Andrew Kin
    View author publications

    Search author on:PubMed Google Scholar

  9. Sophie Magidson
    View author publications

    Search author on:PubMed Google Scholar

  10. Elizabeth D. Lightbody
    View author publications

    Search author on:PubMed Google Scholar

  11. Ting Wu
    View author publications

    Search author on:PubMed Google Scholar

  12. Floris Chabrun
    View author publications

    Search author on:PubMed Google Scholar

  13. Jean-Baptiste Alberge
    View author publications

    Search author on:PubMed Google Scholar

  14. Ankit K. Dutta
    View author publications

    Search author on:PubMed Google Scholar

  15. Jacqueline Perry
    View author publications

    Search author on:PubMed Google Scholar

  16. Ashlee Sturtevant
    View author publications

    Search author on:PubMed Google Scholar

  17. Mahshid Rahmat
    View author publications

    Search author on:PubMed Google Scholar

  18. Junko Tsuji
    View author publications

    Search author on:PubMed Google Scholar

  19. Christine Davie
    View author publications

    Search author on:PubMed Google Scholar

  20. Caroline Ricciardi
    View author publications

    Search author on:PubMed Google Scholar

  21. Frances Arters
    View author publications

    Search author on:PubMed Google Scholar

  22. Marjorie Marto
    View author publications

    Search author on:PubMed Google Scholar

  23. Amy Bergeron
    View author publications

    Search author on:PubMed Google Scholar

  24. Jacalyn Rosenblatt
    View author publications

    Search author on:PubMed Google Scholar

  25. Elizabeth K. O’Donnell
    View author publications

    Search author on:PubMed Google Scholar

  26. Tarek H. Mouhieddine
    View author publications

    Search author on:PubMed Google Scholar

  27. Lorena Pantano
    View author publications

    Search author on:PubMed Google Scholar

  28. Jacob P. Laubach
    View author publications

    Search author on:PubMed Google Scholar

  29. Paul G. Richardson
    View author publications

    Search author on:PubMed Google Scholar

  30. Gad Getz
    View author publications

    Search author on:PubMed Google Scholar

  31. Lorenzo Trippa
    View author publications

    Search author on:PubMed Google Scholar

  32. Romanos Sklavenitis-Pistofidis
    View author publications

    Search author on:PubMed Google Scholar

  33. Irene M. Ghobrial
    View author publications

    Search author on:PubMed Google Scholar

Contributions

O.N. and I.M.G. conceptualized the study. O.N., M.K., J.V.M., A.J.Y., J.A.Z., A.K., C.D., C.R., F.A., M.M., A.B., J.R., E.K.O’D., J.P.L., and P.G.R. conducted the clinical trial. F.C., E.D.L., A.K.D., and M.R. conducted laboratory analyses and collected data. S.M., J.P., R.S-P., and T.H.M., collected clinical data and participated in data curation. J.P. supervised data curation. A.S. supervised clinical trial conduct and data collection. I.M.G. acquired funding for this study. M.P.A., R.A.R., T.W., F.C., J-B.A., J.T., L.T., L.P., and R.S-P. conducted formal analyses, and G.G. and R.S-P. supervised analyses. M.P.A., O.N., and R.S-P. wrote the original draft of this manuscript. All authors reviewed and approved the final version for publication. O.N., G.G., R.S-P., and I.M.G. supervised this study.

Corresponding authors

Correspondence to Omar Nadeem or Irene M. Ghobrial.

Ethics declarations

Competing interests

O.N. reports research support from Takeda and Janssen; advisory board participation for Bristol-Myers Squibb, Janssen, Sanofi, Takeda, Kite and GPCR therapeutics; and honorarium from Pfizer. M.B. reports consultancy for Janssen, BMS, Takeda, Epizyme, Karyopharm, Menarini Biosystems, and Adaptive Biotechnology. A.J.Y reports consulting for AbbVie, Adaptive Biotechnologies, Amgen, BMS, Celgene, GSK, Johnson & Johnson, Karyopharm, Oncopeptides, Pfizer, Prothena, Regeneron, Sanofi, Sebia, Takeda. Research funding to institution from Amgen, BMS, GSK, Johnson & Johnson, Sanofi. P.G.R. is a consultant for Celgene/Bristol-Myers Squibb, GlaxoSmithKline, Karyopharm, Oncopeptides, Regeneron, and Sanofi, and has received research support from Oncopeptides. T.H.M. reports consulting for Sanofi. G.G. is a consultant, current equity holder, and co-founder for Scorpion Therapeutics and Predicta Biosciences, is receiving research funds from IBM, Pharmacyclics, and is a holder of patents and royalties for SignatureAnalyzer-GPU (US 2021/0358574, published), MSMuTect and MSMutSig (US 11,608,533, issued), MSIDetect (US 2023/0332246, published), and POLYSOLVER (US 11,725,237, issued). None of these patents are related to this work. R.S-P. is a consultant, private equity holder, and co-founder of Predicta Biosciences. I.M.G. has consulted for Bristol-Myers Squibb, AstraZeneca, Amgen, BioSkryb, Clinical Care Options, Curio Science, Sanofi, Janssen, Pfizer, Menarini Silicone Biosystems, Aptitude Health, GlaxoSmithKline, AbbVie, Adaptive Biotechnologies, Window Therapeutics, and Regeneron. She has received honoraria or speaker fees from Vor Biopharma, Janssen, MJH Life Sciences, Novartis, Takeda, Amgen, Regeneron, Curio Science, Standard Biotools, and Physicians’ Education Resource. She is a founder and board member of and holds private equity in Predicta Biosciences. Her spouse is the chief medical officer of and holds private equity in Disc Medicine. All other authors declare no conflicts of interest.

Peer review

Peer review information

Nature Communications thanks Rajshekhar Chakraborty, Elias Mai and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. A peer review file is available.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information (download PDF )

Description of Additional Supplementary Files (download PDF )

Supplementary Data 1 (download CSV )

Reporting Summary (download PDF )

Transparent Peer Review file (download PDF )

Source data

Source Data (download XLSX )

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nadeem, O., Aranha, M.P., Redd, R.A. et al. Daratumumab in high-risk MGUS and low-risk smoldering myeloma: results of the Phase II D-PRISM study. Nat Commun (2026). https://doi.org/10.1038/s41467-026-71483-z

Download citation

  • Received: 01 August 2025

  • Accepted: 16 March 2026

  • Published: 08 April 2026

  • DOI: https://doi.org/10.1038/s41467-026-71483-z

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Download PDF

Advertisement

Explore content

  • Research articles
  • Reviews & Analysis
  • News & Comment
  • Videos
  • Collections
  • Subjects
  • Follow us on Facebook
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • Aims & Scope
  • Editors
  • Journal Information
  • Open Access Fees and Funding
  • Calls for Papers
  • Editorial Values Statement
  • Journal Metrics
  • Editors' Highlights
  • Contact
  • Editorial policies
  • Top Articles

Publish with us

  • For authors
  • For Reviewers
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Nature Communications (Nat Commun)

ISSN 2041-1723 (online)

nature.com footer links

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited

Nature Briefing: Translational Research

Sign up for the Nature Briefing: Translational Research newsletter — top stories in biotechnology, drug discovery and pharma.

Get what matters in translational research, free to your inbox weekly. Sign up for Nature Briefing: Translational Research