Deep MRD profiling defines outcome and unveils different modes of treatment resistance in standard- and high-risk myeloma

Author:

Goicoechea Ibai1ORCID,Puig Noemi2,Cedena Maria-Teresa3ORCID,Burgos Leire1ORCID,Cordón Lourdes45ORCID,Vidriales María-Belén2ORCID,Flores-Montero Juan6789ORCID,Gutierrez Norma C.2,Calasanz Maria-Jose1,Ramos Maria-Luisa Martin3,Lara-Astiaso David1,Vilas-Zornoza Amaia1ORCID,Alignani Diego1,Rodriguez Idoia1,Sarvide Sarai1,Alameda Daniel1ORCID,Garcés Juan José1ORCID,Rodriguez Sara1,Fresquet Vicente1,Celay Jon1ORCID,Garcia-Sanz Ramón2ORCID,Martinez-Lopez Joaquin3ORCID,Oriol Albert10ORCID,Rios Rafael11ORCID,Martin-Sanchez Jesus12,Martinez-Martinez Rafael13,Sarra Josep14,Hernandez Miguel-Teodoro15,de la Rubia Javier416ORCID,Krsnik Isabel17ORCID,Moraleda Jose-Maria18ORCID,Palomera Luis19,Bargay Joan20,Martinez-Climent Jose-Angel1,Orfao Alberto5,Rosiñol Laura21,Mateos Maria-Victoria2,Lahuerta Juan-José3ORCID,Blade Joan21,San Miguel Jesús1ORCID,Paiva Bruno1

Affiliation:

1. Clinica Universidad de Navarra, Centro de Investigación Medica Aplicada (CIMA), Instituto de Investigación Sanitaria de Navarra (IDISNA), Centro de Investigación Biomédica en Red-Cáncer (CIBER-ONC) CB16/12/00369, Pamplona, Spain;

2. Hospital Universitario de Salamanca, Instituto de Investigación Biomedica de Salamanca (IBSAL), Centro de Investigación del Cancer, Instituto de Biología Molecular y Celular del Cáncer (IBMCC), Universidad de Salamanca, Consejo Superior de Investigaciónes Científicas (CSIC), CIBER-ONC CB16/12/00233, Salamanca, Spain;

3. Hospital 12 de Octubre, CIBER-ONC CB16/12/00369, Madrid, Spain;

4. Hospital Universitario y Politécnico La Fe, Valencia, Spain;

5. CIBER-ONC CB16/12/00284, Instituto Carlos III, Madrid, Spain;

6. Cancer Research Center (IBMCC-CSIC/USAL-IBSAL),

7. Cytometry Service (NUCLEUS), and

8. Department of Medicine, University of Salamanca, Salamanca, Spain;

9. CIBER-ONC CB16/12/00400, Instituto Carlos III, Madrid, Spain;

10. Institut Català d’Oncologia i Institut Josep Carreras, Badalona, Spain;

11. Hospital Virgen de las Nieves, Granada, Spain;

12. Hospital Universitario Virgen del Rocío, Instituto de Biomedicina de Sevilla (IBIS)/CSIC/CIBERONC CB16/12/00480, Seville, Spain;

13. Hospital Universitario San Carlos, Madrid, Spain;

14. Institut Català d'Oncologia (ICO), Hospital Duran i Reynals, L’Hospitalet del Llobregat, Barcelona, Spain;

15. Hospital Universitario de Canarias, Santa Cruz de Tenerife, Spain;

16. School of Medicine and Dentistry, Catholic University of Valencia, Valencia, Spain;

17. Hospital Puerta de Hierro, Madrid, Spain;

18. Hospital Virgen de la Arrixaca, Murcia, Spain;

19. Hospital Clínico Lozano Blesa, Zaragoza, Spain;

20. Hospital Son Llatzer, Palma de Mallorca, Spain; and

21. Hospital Clínic Institut D’Investigacións Biomèdiques August Pi I Sunyer (IDIBAPS), Barcelona, Spain

Abstract

Abstract Patients with multiple myeloma (MM) carrying standard- or high-risk cytogenetic abnormalities (CAs) achieve similar complete response (CR) rates, but the later have inferior progression-free survival (PFS). This questions the legitimacy of CR as a treatment endpoint and represents a biological conundrum regarding the nature of tumor reservoirs that persist after therapy in high-risk MM. We used next-generation flow (NGF) cytometry to evaluate measurable residual disease (MRD) in MM patients with standard- vs high-risk CAs (n = 300 and 90, respectively) enrolled in the PETHEMA/GEM2012MENOS65 trial, and to identify mechanisms that determine MRD resistance in both patient subgroups (n = 40). The 36-month PFS rates were higher than 90% in patients with standard- or high-risk CAs achieving undetectable MRD. Persistent MRD resulted in a median PFS of ∼3 and 2 years in patients with standard- and high-risk CAs, respectively. Further use of NGF to isolate MRD, followed by whole-exome sequencing of paired diagnostic and MRD tumor cells, revealed greater clonal selection in patients with standard-risk CAs, higher genomic instability with acquisition of new mutations in high-risk MM, and no unifying genetic event driving MRD resistance. Conversely, RNA sequencing of diagnostic and MRD tumor cells uncovered the selection of MRD clones with singular transcriptional programs and reactive oxygen species–mediated MRD resistance in high-risk MM. Our study supports undetectable MRD as a treatment endpoint for patients with MM who have high-risk CAs and proposes characterizing MRD clones to understand and overcome MRD resistance. This trial is registered at www.clinicaltrials.gov as #NCT01916252.

Publisher

American Society of Hematology

Subject

Cell Biology,Hematology,Immunology,Biochemistry

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