Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
The aim of this study was to observe the rate of MRD conversion and the impact on survival in newly diagnosed multiple myeloma (NDMM) patients with persistent MRD positivity after induction and consolidation therapy (autologous hematopoietic stem cell transplantation or consolidation of the original regimen) who were switched to high-intensity therapy, and to compare the rate of persistent MRD-negativity, progression-free survival (PFS), and overall survival (OS) between the two groups in comparison with NDMM patients who achieved MRD-negativity after the same induction and consolidation therapy.
There is still an unmet clinical need as to whether NDMM patients with persistent MRD positive would benefit from switching to high-intensity therapy. The induction regimen (Dara+/- (Vd, Rd, Pd, VRd, VPd)) was selected based on the frail or high-risk status of NDMM patients. Transplantation or consolidation and maintenance regimens were adjusted by MRD status detected by NGF.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| MRD negativity | NDMM patients who obtained MRD negativity after induction and consolidation therapy | ||
| MRD positivity | NDMM patients who MRD positivity after induction and consolidation therapy and agree to adjust the treatment regimen |
Not provided
| Measure | Description | Time Frame |
|---|---|---|
| Adjusted treatment-adjusted MRD-negative rates | To explore the rate of conversion to MRD-negative after adjusting treatment in NDMM patients with persistent MRD-positive status. | through study completion, up to 2 years |
| Measure | Description | Time Frame |
|---|---|---|
| Progression-Free Survival (PFS) | PFS were calculated from the enrollment to the first instance of disease progression, relapse, or death | through study completion, up to 2 years |
| Overall Survival (OS) |
| Measure | Description | Time Frame |
|---|---|---|
| explore the molecular basis for the dynamic changes and differences in MRD | Bone puncture samples from routine clinical consultations were collected, and single-cell transcriptome sequencing technology was applied to analyze and compare the differences in MM cells (clones) and bone marrow microenvironment (including immunity, inflammation, and stroma) of MRD-transformed and non-transformed patients after adjusting the treatment regimen, using the samples before adjusting the treatment regimen as the baseline control, in order to explore the molecular basis for the dynamic changes and differences in MRD |
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Diagnosed with multiple myeloma according to the 2014 IMWG multiple myeloma diagnostic criteria, receiving induction and consolidation therapy to achieve partial remission (PR) or better, and MRD-negative, or persistently MRD-positive and agreeing to adjust the treatment regimen.
Not provided
Not provided
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| The First Hospital of Jilin University | Recruiting | Changchun | Jilin | 130021 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 28726797 | Background | Kumar SK, Rajkumar V, Kyle RA, van Duin M, Sonneveld P, Mateos MV, Gay F, Anderson KC. Multiple myeloma. Nat Rev Dis Primers. 2017 Jul 20;3:17046. doi: 10.1038/nrdp.2017.46. | |
| 28151709 | Background | Anderson KC. Progress and Paradigms in Multiple Myeloma. Clin Cancer Res. 2016 Nov 15;22(22):5419-5427. doi: 10.1158/1078-0432.CCR-16-0625. |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
blood、bone marrow
OS were calculated from the time of enrollment to death or the last follow-up
| through study completion, up to 2 years |
| Persistent MRD-negative rates and survival | Persistent MRD-negative rates and survival (including PFS and OS) in both groups compared to NDMM patients who achieved MRD-negativity after the same induction and consolidation therapy | through study completion, up to 2 years |
| Treatment related adverse event(TRAE) | Toxicity and safety will be reported based on the adverse events, as graded by CTCAE V5 and determined by routine clinical assessments. | through study completion, up to 2 years |
| through study completion, up to 2 years |
| explore the elderly (especially debilitated) patients' MRD-adjusted treatment | For patients ≥65 years old, through the adjusted treatment-adjusted MRD-negative rates to explore the impact of strategy adjustment on elderly patients | through study completion, up to 2 years |
| 29686421 | Background | Kumar SK, Rajkumar SV. The multiple myelomas - current concepts in cytogenetic classification and therapy. Nat Rev Clin Oncol. 2018 Jul;15(7):409-421. doi: 10.1038/s41571-018-0018-y. |
| 25769724 | Background | Maiso P, Huynh D, Moschetta M, Sacco A, Aljawai Y, Mishima Y, Asara JM, Roccaro AM, Kimmelman AC, Ghobrial IM. Metabolic signature identifies novel targets for drug resistance in multiple myeloma. Cancer Res. 2015 May 15;75(10):2071-82. doi: 10.1158/0008-5472.CAN-14-3400. Epub 2015 Mar 13. |
| 27775549 | Background | Alonso S, Hernandez D, Chang YT, Gocke CB, McCray M, Varadhan R, Matsui WH, Jones RJ, Ghiaur G. Hedgehog and retinoid signaling alters multiple myeloma microenvironment and generates bortezomib resistance. J Clin Invest. 2016 Dec 1;126(12):4460-4468. doi: 10.1172/JCI88152. Epub 2016 Oct 24. |
| 27479184 | Background | Paiva B, Puig N, Cedena MT, de Jong BG, Ruiz Y, Rapado I, Martinez-Lopez J, Cordon L, Alignani D, Delgado JA, van Zelm MC, Van Dongen JJ, Pascual M, Agirre X, Prosper F, Martin-Subero JI, Vidriales MB, Gutierrez NC, Hernandez MT, Oriol A, Echeveste MA, Gonzalez Y, Johnson SK, Epstein J, Barlogie B, Morgan GJ, Orfao A, Blade J, Mateos MV, Lahuerta JJ, San-Miguel JF. Differentiation stage of myeloma plasma cells: biological and clinical significance. Leukemia. 2017 Feb;31(2):382-392. doi: 10.1038/leu.2016.211. Epub 2016 Aug 1. |
| 29053157 | Background | Jelinek T, Bezdekova R, Zatopkova M, Burgos L, Simicek M, Sevcikova T, Paiva B, Hajek R. Current applications of multiparameter flow cytometry in plasma cell disorders. Blood Cancer J. 2017 Oct 20;7(10):e617. doi: 10.1038/bcj.2017.90. |
| 28104919 | Background | Flores-Montero J, Sanoja-Flores L, Paiva B, Puig N, Garcia-Sanchez O, Bottcher S, van der Velden VHJ, Perez-Moran JJ, Vidriales MB, Garcia-Sanz R, Jimenez C, Gonzalez M, Martinez-Lopez J, Corral-Mateos A, Grigore GE, Fluxa R, Pontes R, Caetano J, Sedek L, Del Canizo MC, Blade J, Lahuerta JJ, Aguilar C, Barez A, Garcia-Mateo A, Labrador J, Leoz P, Aguilera-Sanz C, San-Miguel J, Mateos MV, Durie B, van Dongen JJM, Orfao A. Next Generation Flow for highly sensitive and standardized detection of minimal residual disease in multiple myeloma. Leukemia. 2017 Oct;31(10):2094-2103. doi: 10.1038/leu.2017.29. Epub 2017 Jan 20. |
| 23860448 | Background | Puig N, Sarasquete ME, Balanzategui A, Martinez J, Paiva B, Garcia H, Fumero S, Jimenez C, Alcoceba M, Chillon MC, Sebastian E, Marin L, Montalban MA, Mateos MV, Oriol A, Palomera L, de la Rubia J, Vidriales MB, Blade J, Lahuerta JJ, Gonzalez M, Miguel JF, Garcia-Sanz R. Critical evaluation of ASO RQ-PCR for minimal residual disease evaluation in multiple myeloma. A comparative analysis with flow cytometry. Leukemia. 2014 Feb;28(2):391-7. doi: 10.1038/leu.2013.217. Epub 2013 Jul 17. |
| 25303369 | Background | Silvennoinen R, Lundan T, Kairisto V, Pelliniemi TT, Putkonen M, Anttila P, Huotari V, Mantymaa P, Siitonen S, Uotila L, Penttila TL, Juvonen V, Selander T, Remes K. Comparative analysis of minimal residual disease detection by multiparameter flow cytometry and enhanced ASO RQ-PCR in multiple myeloma. Blood Cancer J. 2014 Oct 10;4(10):e250. doi: 10.1038/bcj.2014.69. |
| 24646471 | Background | Martinez-Lopez J, Lahuerta JJ, Pepin F, Gonzalez M, Barrio S, Ayala R, Puig N, Montalban MA, Paiva B, Weng L, Jimenez C, Sopena M, Moorhead M, Cedena T, Rapado I, Mateos MV, Rosinol L, Oriol A, Blanchard MJ, Martinez R, Blade J, San Miguel J, Faham M, Garcia-Sanz R. Prognostic value of deep sequencing method for minimal residual disease detection in multiple myeloma. Blood. 2014 May 15;123(20):3073-9. doi: 10.1182/blood-2014-01-550020. Epub 2014 Mar 19. |
| 27249750 | Background | Avet-Loiseau H. Minimal Residual Disease by Next-Generation Sequencing: Pros and Cons. Am Soc Clin Oncol Educ Book. 2016;35:e425-30. doi: 10.1200/EDBK_159088. |
| 30249784 | Background | Perrot A, Lauwers-Cances V, Corre J, Robillard N, Hulin C, Chretien ML, Dejoie T, Maheo S, Stoppa AM, Pegourie B, Karlin L, Garderet L, Arnulf B, Doyen C, Meuleman N, Royer B, Eveillard JR, Benboubker L, Dib M, Decaux O, Jaccard A, Belhadj K, Brechignac S, Kolb B, Fohrer C, Mohty M, Macro M, Richardson PG, Carlton V, Moorhead M, Willis T, Faham M, Anderson KC, Harousseau JL, Leleu X, Facon T, Moreau P, Attal M, Avet-Loiseau H, Munshi N. Minimal residual disease negativity using deep sequencing is a major prognostic factor in multiple myeloma. Blood. 2018 Dec 6;132(23):2456-2464. doi: 10.1182/blood-2018-06-858613. Epub 2018 Sep 24. |
| 11260088 | Background | Davies FE, Forsyth PD, Rawstron AC, Owen RG, Pratt G, Evans PA, Richards SJ, Drayson M, Smith GM, Selby PJ, Child JA, Morgan GJ. The impact of attaining a minimal disease state after high-dose melphalan and autologous transplantation for multiple myeloma. Br J Haematol. 2001 Mar;112(3):814-9. doi: 10.1046/j.1365-2141.2001.02530.x. |
| 18669875 | Background | Paiva B, Vidriales MB, Cervero J, Mateo G, Perez JJ, Montalban MA, Sureda A, Montejano L, Gutierrez NC, Garcia de Coca A, de Las Heras N, Mateos MV, Lopez-Berges MC, Garcia-Boyero R, Galende J, Hernandez J, Palomera L, Carrera D, Martinez R, de la Rubia J, Martin A, Blade J, Lahuerta JJ, Orfao A, San Miguel JF; GEM (Grupo Espanol de MM)/PETHEMA (Programa para el Estudio de la Terapeutica en Hemopatias Malignas) Cooperative Study Groups. Multiparameter flow cytometric remission is the most relevant prognostic factor for multiple myeloma patients who undergo autologous stem cell transplantation. Blood. 2008 Nov 15;112(10):4017-23. doi: 10.1182/blood-2008-05-159624. Epub 2008 Jul 31. |
| 23733781 | Background | Rawstron AC, Child JA, de Tute RM, Davies FE, Gregory WM, Bell SE, Szubert AJ, Navarro-Coy N, Drayson MT, Feyler S, Ross FM, Cook G, Jackson GH, Morgan GJ, Owen RG. Minimal residual disease assessed by multiparameter flow cytometry in multiple myeloma: impact on outcome in the Medical Research Council Myeloma IX Study. J Clin Oncol. 2013 Jul 10;31(20):2540-7. doi: 10.1200/JCO.2012.46.2119. Epub 2013 Jun 3. |
| 25645353 | Background | Rawstron AC, Gregory WM, de Tute RM, Davies FE, Bell SE, Drayson MT, Cook G, Jackson GH, Morgan GJ, Child JA, Owen RG. Minimal residual disease in myeloma by flow cytometry: independent prediction of survival benefit per log reduction. Blood. 2015 Mar 19;125(12):1932-5. doi: 10.1182/blood-2014-07-590166. Epub 2015 Feb 2. |
| 27118453 | Background | Paiva B, Cedena MT, Puig N, Arana P, Vidriales MB, Cordon L, Flores-Montero J, Gutierrez NC, Martin-Ramos ML, Martinez-Lopez J, Ocio EM, Hernandez MT, Teruel AI, Rosinol L, Echeveste MA, Martinez R, Gironella M, Oriol A, Cabrera C, Martin J, Bargay J, Encinas C, Gonzalez Y, Van Dongen JJ, Orfao A, Blade J, Mateos MV, Lahuerta JJ, San Miguel JF; Grupo Espanol de Mieloma/Programa para el Estudio de la Terapeutica en Hemopatias Malignas (GEM/PETHEMA) Cooperative Study Groups. Minimal residual disease monitoring and immune profiling in multiple myeloma in elderly patients. Blood. 2016 Jun 23;127(25):3165-74. doi: 10.1182/blood-2016-03-705319. Epub 2016 Apr 26. |
| 27595280 | Background | Landgren O, Devlin S, Boulad M, Mailankody S. Role of MRD status in relation to clinical outcomes in newly diagnosed multiple myeloma patients: a meta-analysis. Bone Marrow Transplant. 2016 Dec;51(12):1565-1568. doi: 10.1038/bmt.2016.222. Epub 2016 Sep 5. |
| 28498784 | Background | Lahuerta JJ, Paiva B, Vidriales MB, Cordon L, Cedena MT, Puig N, Martinez-Lopez J, Rosinol L, Gutierrez NC, Martin-Ramos ML, Oriol A, Teruel AI, Echeveste MA, de Paz R, de Arriba F, Hernandez MT, Palomera L, Martinez R, Martin A, Alegre A, De la Rubia J, Orfao A, Mateos MV, Blade J, San-Miguel JF; GEM (Grupo Espanol de Mieloma)/PETHEMA (Programa para el Estudio de la Terapeutica en Hemopatias Malignas) Cooperative Study Group. Depth of Response in Multiple Myeloma: A Pooled Analysis of Three PETHEMA/GEM Clinical Trials. J Clin Oncol. 2017 Sep 1;35(25):2900-2910. doi: 10.1200/JCO.2016.69.2517. Epub 2017 May 12. |
| 27632282 | Background | Munshi NC, Avet-Loiseau H, Rawstron AC, Owen RG, Child JA, Thakurta A, Sherrington P, Samur MK, Georgieva A, Anderson KC, Gregory WM. Association of Minimal Residual Disease With Superior Survival Outcomes in Patients With Multiple Myeloma: A Meta-analysis. JAMA Oncol. 2017 Jan 1;3(1):28-35. doi: 10.1001/jamaoncol.2016.3160. |
| 28525304 | Background | Harousseau JL, Avet-Loiseau H. Minimal Residual Disease Negativity Is a New End Point of Myeloma Therapy. J Clin Oncol. 2017 Sep 1;35(25):2863-2865. doi: 10.1200/JCO.2017.73.1331. Epub 2017 May 19. No abstract available. |
| 29296970 | Background | Anderson KC. Should minimal residual disease negativity be the end point of myeloma therapy? Blood Adv. 2017 Mar 14;1(8):517-521. doi: 10.1182/bloodadvances.2016000117. eCollection 2017 Mar 14. |
| 29296971 | Background | Sonneveld P. Should minimal residual disease negativity not be the end point of myeloma therapy? Blood Adv. 2017 Mar 14;1(8):522-525. doi: 10.1182/bloodadvances.2017000109. eCollection 2017 Mar 14. |
| 25838346 | Background | Paiva B, van Dongen JJ, Orfao A. New criteria for response assessment: role of minimal residual disease in multiple myeloma. Blood. 2015 May 14;125(20):3059-68. doi: 10.1182/blood-2014-11-568907. Epub 2015 Apr 2. |
| 36540935 | Background | Yang P, Xu W, Liang X, Yu S, Yi X, Liu M, Tian M, Yue T, Zhang Y, Yan Y, Hu Z, Guo Q, Zhang N, Wang J, Sun X, Hu R, Kumar SK, Dai Y, Jin F. Dynamic monitoring of minimal residual disease in newly-diagnosed multiple myeloma. Am J Hematol. 2023 Mar;98(3):E61-E64. doi: 10.1002/ajh.26810. Epub 2022 Dec 21. No abstract available. |
| ID | Term |
|---|---|
| D009101 | Multiple Myeloma |
| D018365 | Neoplasm, Residual |
| ID | Term |
|---|---|
| D054219 | Neoplasms, Plasma Cell |
| D009370 | Neoplasms by Histologic Type |
| D009369 | Neoplasms |
| D020141 | Hemostatic Disorders |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
| D010265 | Paraproteinemias |
| D001796 | Blood Protein Disorders |
| D006402 | Hematologic Diseases |
| D006425 | Hemic and Lymphatic Diseases |
| D006474 | Hemorrhagic Disorders |
| D008232 | Lymphoproliferative Disorders |
| D007160 | Immunoproliferative Disorders |
| D007154 | Immune System Diseases |
| D009385 | Neoplastic Processes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
Not provided
Not provided