A Study to Compare the Efficacy and Safety of Luspatercept (ACE-536) Versus Epoetin Alfa for the Treatment of Anemia Due to IPSS-R Very Low, Low, or Intermediate Risk Myelodysplastic Syndromes (MDS) Participants Who Require Red Blood Cell Transfusions and Are ESA Naïve (COMMANDS)

November 4, 2024 updated by: Celgene

A Phase 3, Open-label, Randomized Study to Compare the Efficacy and Safety of Luspatercept (ACE-536) Versus Epoetin Alpha for the Treatment of Anemia Due to IPSS-R Very Low, Low or Intermediate Risk Due to Myelodysplastic Syndrome (MDS) in ESA Naïve Subjects Who Require Red Blood Cell Transfusions

The purpose of this study is to determine the effectiveness of luspatercept (ACE-536) compared to epoetin alfa on red blood cell (RBC) transfusion independence (for at least 12 weeks) with a concurrent hemoglobin increase of at least 1.5 g/dL in participants with anemia due to revised international prognostic scoring system (IPSS-R) very low, low, or intermediate risk myelodysplastic syndromes (MDS) who require RBC transfusions and have never been exposed to erythropoiesis stimulating agent (ESA).

Study Overview

Status

Active, not recruiting

Study Type

Interventional

Enrollment (Actual)

363

Phase

  • Phase 3

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Randwick, Australia, 2031
        • Local Institution - 212
    • New South Wales
      • Albury, New South Wales, Australia, 2640
        • Local Institution - 206
      • Blacktown, New South Wales, Australia, 2148
        • Local Institution - 213
      • Concord, New South Wales, Australia, 2139
        • Local Institution - 200
      • Kogarah, New South Wales, Australia, 2217
        • Local Institution - 215
      • Nowra, New South Wales, Australia, 2541
        • Local Institution - 211
      • Waratah, New South Wales, Australia, 2298
        • Local Institution - 210
      • Wollongong, New South Wales, Australia, 2500
        • Local Institution - 207
    • Queensland
      • Auchenflower, Queensland, Australia, 4066
        • Local Institution - 208
    • South Australia
      • Adelaide, South Australia, Australia, 5000
        • Local Institution - 202
    • Victoria
      • Clayton, Victoria, Australia, 3168
        • Local Institution - 204
      • Malvern, Victoria, Australia, 3144
        • Local Institution - 203
      • Melbourne, Victoria, Australia, 3004
        • Local Institution - 209
    • Western Australia
      • West Perth, Western Australia, Australia, 6005
        • Local Institution - 205
      • Linz, Austria, 4020
        • Local Institution - 442
      • Vienna, Austria, 1090
        • Local Institution - 441
      • Antwerpen, Belgium, 2020
        • Local Institution - 475
      • Brasschaat, Belgium, 2930
        • Local Institution - 471
      • Brussels, Belgium, 1200
        • Local Institution - 474
      • Charleroi, Belgium, 6000
        • Local Institution - 472
      • Kortrijk, Belgium, 8500
        • Local Institution - 473
      • Leuven, Belgium, 3000
        • Local Institution - 470
      • Roeselare, Belgium, 8800
        • Local Institution - 476
      • Sherbrooke, Canada, J1H 5N4
        • Local Institution - 152
    • Alberta
      • Calgary, Alberta, Canada, T2N 4N2
        • Local Institution - 147
      • Edmonton, Alberta, Canada, T6G 2B7
        • Local Institution - 145
    • Ontario
      • Hamilton, Ontario, Canada, L8V 5C2
        • Local Institution - 142
      • Ottawa, Ontario, Canada, K1H 8L6
        • Local Institution - 140
      • Toronto, Ontario, Canada, M4N 3M5
        • Local Institution - 141
    • Quebec
      • Montreal, Quebec, Canada, H1T 2M4
        • Local Institution - 144
      • Montreal, Quebec, Canada, H3T 1E2
        • Local Institution - 148
    • Saskatchewan
      • Saskatoon, Saskatchewan, Canada, S7N 4H4
        • Local Institution - 151
      • Hradec Kralove, Czechia, 500 05
        • Local Institution - 560
      • Ostrava-Poruba, Czechia, 708 52
        • Local Institution - 564
      • Prague 10, Czechia, 100 34
        • Local Institution - 563
      • Praha, Czechia, 128 20
        • Local Institution - 561
      • Praha 2, Czechia, 128 08
        • Local Institution - 562
      • Angers, France, 49000
        • Local Institution - 317
      • Bayonne, France, 64109
        • Local Institution - 312
      • Caen Cedex 9, France, 14033
        • Local Institution - 311
      • La Tronche, France, 38700
        • Local Institution - 306
      • Le Mans, France, 72037
        • Local Institution - 305
      • Lille, France, 59037
        • Local Institution - 309
      • Limoges Cedex, France, 87042
        • Local Institution - 303
      • Nantes Cedex 01, France, 44093
        • Local Institution - 307
      • Nice Cedex 3, France, 06200
        • Local Institution - 301
      • Paris, France, 75010
        • Local Institution - 302
      • Paris, France, 75014
        • Local Institution - 313
      • Pessac, France, 33604
        • Local Institution - 308
      • Pierre Bénite, France, 69495
        • Local Institution - 315
      • Poitiers, France, 86021
        • Local Institution - 316
      • Strasbourg, France, 67033
        • Local Institution - 314
      • Toulouse, France, 31059
        • Local Institution - 300
      • Tours cedex, France, 37044
        • Local Institution - 310
      • Vandoeuvre les Nancy, France, 54511
        • Local Institution - 304
      • Baden-Warttemberg, Germany, 73557
        • Local Institution - 422
      • Berlin, Germany, 14195
        • Local Institution - 424
      • Dresden, Germany, 01307
        • Local Institution - 426
      • Duisburg, Germany, 47166
        • Local Institution - 429
      • Dusseldorf, Germany, 40479
        • Local Institution - 420
      • Hamburg, Germany, 22081
        • Local Institution - 431
      • Keil, Germany, 24105
        • Local Institution - 435
      • Koblenz, Germany, 56068
        • Local Institution - 423
      • Köln, Germany, 50677
        • Local Institution - 428
      • Leipzig, Germany, 04103
        • Local Institution - 430
      • Mannheim, Germany, 68167
        • Local Institution - 436
      • Munchen, Germany, 81675
        • Local Institution - 421
      • Winnenden, Germany, 71364
        • Local Institution - 425
      • Würzburg, Germany, 97070
        • Local Institution - 427
      • Alexandroupolis, Greece, 08100
        • Local Institution - 396
      • Athens, Greece, 10676
        • Local Institution - 397
      • Athens, Greece, 115 27
        • Local Institution - 391
      • Athens, Greece, 12464
        • Local Institution - 392
      • Athina, Greece, 115 27
        • Local Institution - 395
      • Patras, Greece, 26500
        • Local Institution - 398
      • Rio Patras, Greece, 26500
        • Local Institution - 393
      • Thessaloniki, Greece, 546 36
        • Local Institution - 399
      • Thessaloniki, Greece, 57010
        • Local Institution - 390
    • Irakleio
      • Heraklion, Irakleio, Greece, 71110
        • Local Institution - 389
      • Budapest, Hungary, 1096
        • Local Institution - 535
      • Debrecen, Hungary, 4032
        • Local Institution - 534
      • Nyiregyhaza, Hungary, 4400
        • Local Institution - 536
      • Haifa, Israel, 34362
        • Local Institution - 386
      • Jerusalem, Israel, 91120
        • Local Institution - 384
      • Jerusalem, Israel, 9103102
        • Local Institution - 383
      • Kfar-Saba, Israel, 44281
        • Local Institution - 381
      • Nahariya, Israel, 22100
        • Local Institution - 385
      • Tel Aviv, Israel, 64239
        • Local Institution - 382
      • Zerifin, Israel, 70300
        • Local Institution - 380
      • Bologna, Italy, 40138
        • Local Institution - 324
      • Firenze, Italy, 50134
        • Local Institution - 327
      • Meldola, Italy, 47014
        • Local Institution - 330
      • Milano, Italy, 20162
        • Local Institution - 321
      • Padova, Italy, 35128
        • Local Institution - 329
      • Reggio Di Calabria, Italy, 89124
        • Local Institution - 326
      • Roma, Italy, 00133
        • Local Institution - 328
      • Roma, Italy, 00189
        • Local Institution - 332
      • Rome, Italy, 00161
        • Local Institution - 325
      • Rozzano, Italy, 20089
        • Local Institution - 323
      • Udine, Italy, 33100
        • Local Institution - 322
    • TO
      • Orbassano, TO, Italy, 10043
        • Local Institution - 331
      • Amagasaki-Shi, Japan, 660-0892
        • Local Institution - 247
      • Fujisawa-Shi, Japan, 251-0052
        • Local Institution - 249
      • Fukuoka, Japan, 810-8563
        • Local Institution - 234
      • Hitachi, Ibaraki, Japan, 317-0077
        • Local Institution - 237
      • Kamogawa, Japan, 296-8602
        • Local Institution - 231
      • Kitakyushu-Shi, Japan, 806-0034
        • Local Institution - 248
      • Nagaoka-Shi, Japan, 940-2108
        • Local Institution - 270
      • Nagoya-shi, Japan, 460-0001
        • Local Institution - 243
      • Ogaki, Japan, 503-8502
        • Local Institution - 241
      • Okayama, Japan, 700-8557
        • Local Institution - 235
      • Osaka, Japan, 545-8586
        • Local Institution - 242
      • Sagamihara, Japan, 252-0375
        • Local Institution - 233
      • Sapporo-shi, Japan, 064-0804
        • Local Institution - 246
      • Sendai, Japan, 980-8574
        • Local Institution - 239
      • Shibuya-ku, Japan, 150-8935
        • Local Institution - 232
      • Shimotsuga-gun, Japan, 321-0293
        • Local Institution - 245
      • Shinagawa-ku, Tokyo, Japan, 141-8625
        • Local Institution - 230
    • Ehime
      • Matsuyama, Ehime, Japan, 790-8524
        • Local Institution - 238
    • Nagasaki
      • Nagasaki-shi, Nagasaki, Japan, 8528511
        • Local Institution - 244
    • Osaka
      • Osakasayama, Osaka, Japan, 5898511
        • Local Institution - 236
      • Busan, Korea, Republic of, 49241
        • Local Institution - 251
      • Daegu, Korea, Republic of, 700-721
        • Local Institution - 257
      • Hwasun-Gun, Korea, Republic of, 58128
        • Local Institution - 250
      • Seongnamsi, Korea, Republic of, 13620
        • Local Institution - 253
      • Seoul, Korea, Republic of, 06591
        • Local Institution - 256
      • Seoul, Korea, Republic of, 3080
        • Local Institution - 255
      • Seoul, Korea, Republic of, 5505
        • Local Institution - 254
      • Seoul, Korea, Republic of, 06351
        • Local Institution - 252
      • Kaunas, Lithuania, LT-50009
        • Local Institution - 540
      • Vilnius, Lithuania, LT-08661
        • Local Institution - 541
      • Amsterdam, Netherlands, 1081 HV
        • Local Institution - 462
      • Den Haag, Netherlands, 2545 CH
        • Local Institution - 461
      • Nijmegen, Netherlands, 6525 GA
        • Local Institution - 464
      • Rotterdam, Netherlands, 3015 CE
        • Local Institution - 460
      • Sittard-Geleen, Netherlands, 6162 BG
        • Local Institution - 463
      • Gdansk, Poland, 80-952
        • Local Institution - 575
      • Lubin, Poland, 20-081
        • Local Institution - 572
      • Poznan, Poland, 60-569
        • Local Institution - 576
      • Rzwszow, Poland, 35-055
        • Local Institution - 573
      • Slupsk, Poland, 76-200
        • Local Institution - 579
      • Walbrzych, Poland, 58-309
        • Local Institution - 578
      • Wroclaw, Poland, 50-367
        • Local Institution - 577
      • Wroclaw, Poland, 50-556
        • Local Institution - 571
    • Lódzkie
      • Lodz, Lódzkie, Poland, 93-513
        • Local Institution - 570
      • Beja, Portugal, 7801-849
        • Local Institution - 373
      • Braga, Portugal, 4710-243
        • Local Institution - 371
      • Lisboa, Portugal, 1099-023
        • Local Institution - 372
      • Porto, Portugal, 4200-072
        • Local Institution - 370
      • Setubal, Portugal, 2910-446
        • Local Institution - 374
      • Kaluga, Russian Federation, 248007
        • Local Institution - 511
      • Kirov, Russian Federation, 610027
        • Local Institution - 505
      • Krasnoyarsk, Russian Federation, 660022
        • Local Institution - 509
      • Moscow, Russian Federation, 111123
        • Local Institution - 504
      • Moscow, Russian Federation, 125284
        • Local Institution - 500
      • Moscow, Russian Federation, 123182
        • Local Institution - 507
      • Moscow, Russian Federation, 129301
        • Local Institution - 503
      • Saratov, Russian Federation, 410012
        • Local Institution - 508
      • St Petersburg, Russian Federation, 197341
        • Local Institution - 506
      • St. Petersburg, Russian Federation, 197022
        • Local Institution - 510
      • Tula, Russian Federation, 300053
        • Local Institution - 502
      • Barcelona, Spain, 08035
        • Local Institution - 358
      • Barcelona, Spain, 08908
        • Local Institution - 350
      • Granada, Spain, 18014
        • Local Institution - 354
      • Madrid, Spain, 28007
        • Local Institution - 352
      • Madrid, Spain, 28041
        • Local Institution - 355
      • Malaga, Spain, 29010
        • Local Institution - 353
      • Murcia, Spain, 30008
        • Local Institution - 361
      • Ourense, Spain, 32005
        • Local Institution - 356
      • Oviedo, Spain, 33011
        • Local Institution - 363
      • Palma de Mallorca, Spain, 7120
        • Local Institution - 362
      • Salamanca, Spain, 37007
        • Local Institution - 351
      • Seville, Spain, 41013
        • Local Institution - 360
      • Valencia, Spain, 46010
        • Local Institution - 357
      • Valencia, Spain, 46026
        • Local Institution - 359
      • Goteborg, Sweden, SE-413 45
        • Local Institution - 550
      • Lund, Sweden, SE-221 85
        • Local Institution - 552
      • Stockholm, Sweden, SE-141 86
        • Local Institution - 551
      • Bern, Switzerland, 3010
        • Local Institution - 450
      • Luzern 16, Switzerland, 6000
        • Local Institution - 452
      • Winterthur, Switzerland, 8400
        • Local Institution - 451
      • Changhua City, Changhua, Taiwan, 500
        • Local Institution - 220
      • Niaosong District Kaohsiung City, Taiwan, 83301
        • Local Institution - 222
      • Taichung, Taiwan, 40705
        • Local Institution - 224
      • Taichung City, Taiwan, 40447
        • Local Institution - 223
      • Taipei, Taiwan, 100225
        • Local Institution - 221
      • Ankara, Turkey, 06100
        • Local Institution - 342
      • Manisa, Turkey, 45030
        • Local Institution - 340
      • Trabzon, Turkey, 61080
        • Local Institution - 343
      • Cherkassy, Ukraine, 18009
        • Local Institution - 526
      • Dnipro, Ukraine, 49102
        • Local Institution - 525
      • Kyiv, Ukraine, 3115
        • Local Institution - 522
      • Lvov, Ukraine, 79044
        • Local Institution - 520
      • Mykolaiv, Ukraine, 54058
        • Local Institution - 523
      • Ternopil, Ukraine, 46002
        • Local Institution - 521
      • Aberdeen, United Kingdom, AB25 2ZN
        • Local Institution - 401
      • Bournemouth, United Kingdom, BH7 7DW
        • Local Institution - 403
      • Headington, Oxford, United Kingdom, OX3 7LE
        • Local Institution - 405
      • Lincoln, United Kingdom, LN2 5QY
        • Local Institution - 407
      • London, United Kingdom, SE5 9RS
        • Local Institution - 404
      • Manchester, United Kingdom, M20 4BX
        • Local Institution - 400
    • California
      • Berkeley, California, United States, 94704
        • Local Institution - 107
      • San Diego, California, United States, 92123
        • Local Institution - 115
      • Whittier, California, United States, 90603
        • Local Institution - 101
    • Connecticut
      • New Haven, Connecticut, United States, 06520
        • Local Institution - 104
    • District of Columbia
      • Washington, District of Columbia, United States, 20422
        • Local Institution - 136
    • Florida
      • Hudson, Florida, United States, 34667
        • Local Institution - 119
      • Saint Petersburg, Florida, United States, 33705
        • Local Institution - 120
      • Tallahassee, Florida, United States, 32308
        • Local Institution - 122
      • Tampa, Florida, United States, 33612
        • Local Institution - 108
      • West Palm Beach, Florida, United States, 33401
        • Local Institution - 118
    • Kentucky
      • Paducah, Kentucky, United States, 42003
        • Local Institution - 102
    • Maryland
      • Bethesda, Maryland, United States, 20817
        • Local Institution - 123
    • Missouri
      • Kansas City, Missouri, United States, 64132
        • Local Institution - 117
    • New Jersey
      • East Brunswick, New Jersey, United States, 08816
        • Local Institution - 134
      • Hackensack, New Jersey, United States, 07601
        • Local Institution - 113
    • North Carolina
      • Greenville, North Carolina, United States, 27858-4354
        • Local Institution - 105
    • Oregon
      • Portland, Oregon, United States, 97213
        • Local Institution - 131
    • Pennsylvania
      • Pittsburgh, Pennsylvania, United States, 15232
        • Univ of Pittsburgh Medical Center
    • South Carolina
      • Rock Hill, South Carolina, United States, 29732
        • Local Institution - 111
    • Tennessee
      • Nashville, Tennessee, United States, 37203-1625
        • Tennessee Oncology
    • Texas
      • Dallas, Texas, United States, 75246
        • Baylor University Medical Center
      • Houston, Texas, United States, 77030
        • Local Institution - 109
    • Utah
      • Salt Lake City, Utah, United States, 84106
        • Local Institution - 114
    • Virginia
      • Charlottesville, Virginia, United States, 22903
        • Local Institution - 132
      • Chesapeake, Virginia, United States, 23320
        • Local Institution - 127

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Documented diagnosis of Myelodysplastic syndromes (MDS) according to WHO 2016 classification that meets revised international prognostic scoring system (IPSS-R) classification of very low, low, or intermediate risk disease, and have < 5% blasts in bone marrow
  • Endogenous serum erythropoietin (sEPO) level of < 500 U/L
  • Requires Red blood cell (RBC) transfusions, as documented by the criteria: Average transfusion requirement of 2 - 6 units/8 weeks of packed red blood cells (pRBCs) confirmed for a minimum of 8 weeks immediately preceding randomization
  • Eastern Cooperative Oncology Group (ECOG) score of 0, 1, or 2

Exclusion Criteria:

  • Clinically significant anemia due to iron, vitamin B12, or folate deficiencies, or autoimmune or hereditary hemolytic anemia, or hypothyroidism, or any type of known clinically significant bleeding or sequestration or drug induced anemia
  • Known history of diagnosis of Acute myeloid leukemia (AML)
  • Uncontrolled hypertension, defined as repeated elevations of systolic blood pressure (SBP) of ≥ 150 mmHg and/or diastolic blood pressure (DBP) ≥ 100 mmHg despite adequate treatment

Other protocol-defined inclusion/exclusion criteria apply

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Luspatercept
Specified dose on specified days
Other Names:
  • ACE-536
Active Comparator: Epoetin alfa
Specified dose on specified days
Other Names:
  • EPREX®
  • ERYPO®
  • PROCRIT®

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Percentage of Participants With Red Blood Cell Transfusion Independence (RBC-TI) for 12 Weeks (84 Days) With a Mean Hemoglobin Increase ≥ 1.5 g/dL
Time Frame: Week 1 through Week 24

Percentage of participants who are RBC transfusion-free for any 12-week period associated with a concurrent mean hemoglobin (Hgb) increase ≥ 1.5 g/dL compared to baseline.

After applying below 14/3-day rule, the baseline Hgb value is defined as the lowest Hgb value from the central, local laboratory, or pre transfusion Hgb from transfusion records that is within 56 days on or prior to the first dose of treatment, or randomization date if participants were not treated.

4/3-day rule: only Hgb values that are at least 14 days after a transfusion may be used unless there is another transfusion within 3 days after the Hgb assessment. If this occurs, that Hgb value will be used despite being < 14 days after the previous transfusion.

Week 1 through Week 24

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Percentage of Participants With Red Blood Cell Transfusion Independence (RBC-TI) for 24 Weeks
Time Frame: Week 1 through Week 24
Red blood cell transfusion independence (RBC-TI) for 24 weeks is defined as the percentage of participants who did not receive RBC transfusions from Week 1 through Week 24.
Week 1 through Week 24
Mean Hemoglobin Change Over 24 Weeks
Time Frame: Week 1 through Week 24

Mean hemoglobin (Hgb) change over the 24-week period of Week 1 through Week 24 compared to baseline.

After applying below 14/3-day rule, the baseline Hgb value is defined as the lowest Hgb value from the central, local laboratory, or pre transfusion Hgb from transfusion records that is within 56 days on or prior to the first dose of treatment, or randomization date if participants were not treated.

4/3-day rule: only Hgb values that are at least 14 days after a transfusion may be used unless there is another transfusion within 3 days after the Hgb assessment. If this occurs, that Hgb value will be used despite being < 14 days after the previous transfusion.

Week 1 through Week 24
Percentage of Participants Achieving Hematologic Improvement - Erythroid Response (HI-E) Per IWG
Time Frame: Week 1 through Week 24
The percentage of participants meeting the modified HI-E criteria per the International Working Group (IWG) sustained over any consecutive 56-day period in Week 1-24: For participants with baseline red blood cell (RBC) transfusion burden of >= 4 units/8 weeks, a reduction of at least 4 units RBC transfusion; for participants with baseline RBC transfusion burden of < 4 units/8 weeks, mean increase of hemoglobin of at least 1.5 g/dL in the absence of transfusions.
Week 1 through Week 24
Time to Hematologic Improvement - Erythroid Response (HI-E)
Time Frame: Week 1 through Week 24

Time from first dose to first onset of achieving modified HI-E.

The modified HI-E criteria per the International Working Group (IWG) sustained over any consecutive 56-day period in Week 1-24: For participants with baseline red blood cell (RBC) transfusion burden of >= 4 units/8 weeks, a reduction of at least 4 units RBC transfusion; for participants with baseline RBC transfusion burden of < 4 units/8 weeks, mean increase of hemoglobin of at least 1.5 g/dL in the absence of transfusions.

Week 1 through Week 24
Percentage of Participants Achieving Red Blood Cell Transfusion Independence (RBC-TI) for ≥ 12 Weeks (84 Days)
Time Frame: Week 1 through Week 24
Percentage of participants who are RBC transfusion-free over a consecutive 84-day period.
Week 1 through Week 24
Duration of Red Blood Cell Transfusion Independence (RBC-TI) ≥ 12 Weeks (84 Days)
Time Frame: Week 1 through End of Treatment (Up to approximately an average of 66 weeks and a maximum of 202 weeks)
Maximum duration of RBC transfusion independence for participants who achieve RBC-TI ≥ 84 days.
Week 1 through End of Treatment (Up to approximately an average of 66 weeks and a maximum of 202 weeks)
Time to Red Blood Cell Transfusion Independence (RBC-TI) ≥ 12 Weeks (84 Days)
Time Frame: Week 1 through Week 24
Time from first dose to first onset of transfusion independence ≥ 84 days.
Week 1 through Week 24
Time to First Red Blood Cell (RBC) Transfusion
Time Frame: Week 1 through End of Treatment (Up to approximately an average of 66 weeks and a maximum of 202 weeks)
Time to first RBC transfusion is defined as time from Week 1 to first RBC transfusion on treatment. Participants who maintain RBC-TI through the end of the Treatment Period or time of analysis will be censored at EOT visit date, subsequent MDS therapy start date, study discontinuation date, analysis cutoff date or death, whichever occurs first. Median is from un-stratified Kaplan-Meier method.
Week 1 through End of Treatment (Up to approximately an average of 66 weeks and a maximum of 202 weeks)
The Number of Red Blood Cell (RBC) Units Transfused Within the First 24 Weeks of Treatment
Time Frame: Week 1 through Week 24
RBC transfusion burden on treatment is defined as total number of packed red blood cell (pRBC) units transfused within the first 24 weeks of treatment since Week 1.
Week 1 through Week 24
Percentage of Participants Achieving Red Blood Cell Transfusion Independence (RBC-TI) for ≥ 56 Days (8 Weeks)
Time Frame: Week 1 through Week 24
Defined as percentage of participants achieving RBC-TI for >= 56 days during any consecutive 56-day period from Week 1 through Week 24.
Week 1 through Week 24
Percentage of Participants Achieving Red Blood Cell Transfusion Independence (RBC-TI) for a Consecutive 24-week Period
Time Frame: Week 1 through Week 48
Defined as percentage of participants achieving RBC-TI for >= 168 days during any consecutive 168-day period from Week 1 through Week 48.
Week 1 through Week 48
The Number of Participants With Acute Myeloid Leukemia (AML) Progression
Time Frame: From randomization to 5 years from first dose or 3 years from last dose (whichever occurs later), unless the participant withdraws consent from the study, dies or is lost to follow-up. (Up to approximately 221 weeks)
Progression to AML is defined as a diagnosis of AML as per WHO classification of ≥ 20% blasts in peripheral blood or bone marrow.
From randomization to 5 years from first dose or 3 years from last dose (whichever occurs later), unless the participant withdraws consent from the study, dies or is lost to follow-up. (Up to approximately 221 weeks)
Median Time to Acute Myeloid Leukemia (AML) Progression
Time Frame: From randomization to first diagnosis of AML up to 5 years from first dose or 3 years from last dose (whichever occurs later), unless the participant withdraws consent from the study, dies or is lost to follow-up. (Up to approximately 221 weeks)
Time to AML progression is defined as the time between randomization and first diagnosis of AML as per WHO classification of ≥ 20% blasts in peripheral blood or bone marrow. Participants with diagnosis of AML will be considered to have had an event. Participants who have not progressed to AML at the time of analysis will be censored at the last assessment date which does not indicate progression to AML estimated by Kaplan-Meier method.
From randomization to first diagnosis of AML up to 5 years from first dose or 3 years from last dose (whichever occurs later), unless the participant withdraws consent from the study, dies or is lost to follow-up. (Up to approximately 221 weeks)
Overall Survival (OS)
Time Frame: Randomization to death due to any cause up to 5 years from first dose or 3 years from last dose (whichever occurs later), unless the participant withdraws consent from the study, dies or is lost to follow-up. (Up to approximately 221 weeks)
Time from date of randomization to death due to any cause
Randomization to death due to any cause up to 5 years from first dose or 3 years from last dose (whichever occurs later), unless the participant withdraws consent from the study, dies or is lost to follow-up. (Up to approximately 221 weeks)
The Number of Participants With Adverse Events (AEs)
Time Frame: From first dose to 42 days post last dose (Up to approximately an average of 72 weeks and a maximum of 208 weeks)

Treatment-emergent adverse events include adverse events that started on or after the first dose of treatment until 42 days after the last dose of treatment, as well as those serious adverse events (SAEs) made known to the investigator at any time thereafter that are suspected of being related to treatment.

The severity/intensity of AEs were graded according to the National Cancer Institute (NCI) Common Terminology Criteria for Adverse Events (CTCAE, Version 4.0). Grade 3 = Severe, Grade 4 = Life-threatening, and Grade 5 = Death.

From first dose to 42 days post last dose (Up to approximately an average of 72 weeks and a maximum of 208 weeks)
Number of Participants With a Positive Anti-drug Antibody (ADA) Test
Time Frame: Day 1 on week 4, 10, 16, 22, and every 12 weeks (±14 days) from the 24-Week MDS Assessment visit for up to one year from the first dose

Number of participants under each ADA positive category. A participant is counted as 'Treatment-Emergent' if there is a positive post-baseline sample while the baseline sample is ADA negative, or there is a positive post-baseline sample with a titer >= 4-fold of the baseline titer while the baseline sample is ADA positive. A participant is counted as 'Preexisting' if the baseline sample is ADA positive and the participant is not qualified for 'Treatment-Emergent'. If the participant was discontinued from study treatment earlier than one year from the first dose, additional samples will be collected if last ADA is positive.

Baseline is defined as the last value on or before the first dose of study drug.

Day 1 on week 4, 10, 16, 22, and every 12 weeks (±14 days) from the 24-Week MDS Assessment visit for up to one year from the first dose
Change From Baseline in the European Organization for Research and Treatment of Cancer Quality-of-Life Questionnaire (EORTC QLQ-C30)
Time Frame: Baseline and week 24.
The EORTC QLQ-C30 is composed of 30 items that includes a global health status score ranging from: 1-7 as well as scores for 5 functional scales (physical, role, emotional, cognitive and social), 3 symptom scales (fatigue, nausea/vomiting, and pain) and 6 single items (dyspnea, insomnia, appetite loss, constipation, diarrhea, and financial difficulties) all ranging from 1-4. Subscale scores are transformed to a 0 to 100 scale. A high score for a functional scale represents a high or healthy level of functioning; a high score for the global health status/health related quality of life (HRQoL) represents a high overall HRQoL; but a high score for a symptom scale represents a high level of symptomatology or problems. Baseline is defined as the last value on or before the first dose of study drug.
Baseline and week 24.
Change From Baseline in the Functional Assessment of Cancer Therapy-Anemia Version 4 (FACT-An)
Time Frame: Baseline, Day 1 on weeks 7,13,19, and 24.

The Functional Assessment of Cancer Therapy - Anemia (FACT-An) questionnaire includes 47 items rating on a 5-point Likert scale from 0 (not at all) to 4 (very much) (so that 0 is considered worse quality of life and 4 is good response) on five primary subscales:

  • Physical well-being (sum of 7 items, score range from 0-28)
  • Social/Family well-being (sum of 7 items, score range from 0-28)
  • Emotional well-being (sum of 6 items, score range from 0-24)
  • Functional well-being (sum of 7 items, score range from 0-28)
  • Anemia-related symptoms (sum of 20 items, score range from 0-80)

A total score for the FACT-An can be calculated by summing the five primary subscales with a score range from 0-188. Higher scores representing better quality of life. Baseline is defined as the last value on or before the first dose of study drug.

Baseline, Day 1 on weeks 7,13,19, and 24.
Area Under the Concentration-time Curve [AUC]
Time Frame: Day 1 on week 4, 10, 16, 22, and every 12 weeks (±14 days) from the 24-Week MDS Assessment visit for up to one year from the first dose
Day 1 on week 4, 10, 16, 22, and every 12 weeks (±14 days) from the 24-Week MDS Assessment visit for up to one year from the first dose
Maximum Plasma Concentration of Drug [Cmax]
Time Frame: Day 1 on week 4, 10, 16, 22, and every 12 weeks (±14 days) from the 24-Week MDS Assessment visit for up to one year from the first dose
Day 1 on week 4, 10, 16, 22, and every 12 weeks (±14 days) from the 24-Week MDS Assessment visit for up to one year from the first dose

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Study Director: Bristol-Myers Squibb, Bristol-Myers Squibb

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 2, 2019

Primary Completion (Actual)

March 31, 2023

Study Completion (Estimated)

September 28, 2027

Study Registration Dates

First Submitted

September 7, 2018

First Submitted That Met QC Criteria

September 20, 2018

First Posted (Actual)

September 24, 2018

Study Record Updates

Last Update Posted (Actual)

November 20, 2024

Last Update Submitted That Met QC Criteria

November 4, 2024

Last Verified

October 1, 2024

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

Yes

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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