The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been endorsed by the ANZCTR. Before participating in a study, talk to your health care provider and refer to this information for consumers
Trial details imported from ClinicalTrials.gov

For full trial details, please see the original record at https://clinicaltrials.gov/ct2/show/NCT02285062




Registration number
NCT02285062
Ethics application status
Date submitted
4/11/2014
Date registered
6/11/2014
Date last updated
22/06/2023

Titles & IDs
Public title
Efficacy and Safety Study of Lenalidomide Plus R-CHOP Chemotherapy Versus Placebo Plus R-CHOP Chemotherapy in Untreated ABC Type Diffuse Large B-cell Lymphoma
Scientific title
Phase 3 Randomized, Double-Blind, Placebo Controlled, Multicenter Study to Compare the Efficacy and Safety of Lenalidomide (CC-5013) Plus R-CHOP Chemotherapy (R2-CHOP) Versus Placebo Plus R-CHOP Chemotherapy in Subjects With Previously Untreated Activated B-cell Type Diffuse Large B-cell Lymphoma
Secondary ID [1] 0 0
2013-004054-21
Secondary ID [2] 0 0
CC-5013-DLC-002
Universal Trial Number (UTN)
Trial acronym
ROBUST
Linked study record

Health condition
Health condition(s) or problem(s) studied:
Lymphoma, Large B-Cell, Diffuse 0 0
Condition category
Condition code
Cancer 0 0 0 0
Lymphoma (non Hodgkin's lymphoma) - High grade lymphoma
Cancer 0 0 0 0
Lymphoma (non Hodgkin's lymphoma) - Low grade lymphoma

Intervention/exposure
Study type
Interventional
Description of intervention(s) / exposure
Treatment: Drugs - lenalidomide
Treatment: Drugs - Placebo
Treatment: Drugs - Rituximab
Treatment: Drugs - Cyclophosphamide
Treatment: Drugs - Doxorubicin
Treatment: Drugs - prednisone
Treatment: Drugs - vincristine

Experimental: R2-CHOP - Lenalidomide plus R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone)

Active Comparator: R-CHOP - Placebo plus R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone)


Treatment: Drugs: lenalidomide


Treatment: Drugs: Placebo


Treatment: Drugs: Rituximab


Treatment: Drugs: Cyclophosphamide


Treatment: Drugs: Doxorubicin


Treatment: Drugs: prednisone


Treatment: Drugs: vincristine


Intervention code [1] 0 0
Treatment: Drugs
Comparator / control treatment
Control group

Outcomes
Primary outcome [1] 0 0
Kaplan-Meier Estimate of Progression Free Survival (PFS)
Timepoint [1] 0 0
From the date of randomization up to the data cut off date of 15 March 2019; median follow-up of 24.5 months
Secondary outcome [1] 0 0
Kaplan-Meier (K-M) Estimate of Event Free Survival (EFS)
Timepoint [1] 0 0
From the date of randomization up to the data cut off date of 15 March 2019; median follow-up was 24.5 months
Secondary outcome [2] 0 0
K-M Estimate of Overall Survival (OS)
Timepoint [2] 0 0
From randomization until death due to any cause (up to approximately 86 months)
Secondary outcome [3] 0 0
Percentage of Participants Who Achieved a Complete Response (CR)
Timepoint [3] 0 0
From randomization date up to the data cut off date of 15 March 2019; median follow-up was 24.5 months
Secondary outcome [4] 0 0
Percentage of Participants Who Achieved an Objective Response
Timepoint [4] 0 0
From randomization date up to the data cut off date of 15 March 2019; median total treatment duration was 18.10 weeks for both treatment arms; range = 1.6 to 29.0 weeks for R2-CHOP arm and 0.3 to 22.9 weeks for placebo-R-CHOP arm
Secondary outcome [5] 0 0
K-M Estimate of Duration of Complete Response
Timepoint [5] 0 0
From randomization date up to the data cut off date of 15 March 2019; median follow-up was 24.5 months.
Secondary outcome [6] 0 0
K-M Estimate of Time to Next Lymphoma Therapy (TTNLT)
Timepoint [6] 0 0
From randomization date up to the data cut off date of 15 March 2019; median follow-up was 24.5 months
Secondary outcome [7] 0 0
Percentage of Participants Who Completed the Functional Assessment of Cancer Therapy Lymphoma (FACT-Lym) Questionnaire
Timepoint [7] 0 0
Screening, Midcycle = after Cycle 3 but before Cycle 4, Cycle 6 Day 1 (C6D1), End of Treatment (C6,D21), and Follow-Up Period up to Week 34
Secondary outcome [8] 0 0
Percentage of Participants Who Completed the Euroqol 5-Dimension 3-Level (EQ-5D-3L) Health Related Quality of Life (HR-QoL) Questionnaire
Timepoint [8] 0 0
Screening, Midcycle = after Cycle 3 but before Cycle 4, Cycle 6 Day 1 (C6D1), End of Treatment (C6,D21), and Follow-Up Period up to Week 34
Secondary outcome [9] 0 0
Mean Change From Baseline in the FACT-Lym Physical Well-Being Subscale
Timepoint [9] 0 0
Baseline and Midcycle = after Cycle 3 but before Cycle 4, Cycle 6 Day 1 (C6D1), End of Treatment (C6,D21), and Follow-Up Period up to Week 34
Secondary outcome [10] 0 0
Mean Change From Baseline in the FACT-Lym Additional Concerns Subscale
Timepoint [10] 0 0
Baseline and Midcycle = after Cycle 3 but before Cycle 4, Cycle 6 Day 1 (C6D1), End of Treatment (C6,D21), and Follow-Up Period up to Week 34
Secondary outcome [11] 0 0
Mean Change From Baseline in the FACT-Lym Functional Well-Being Subscale
Timepoint [11] 0 0
Baseline and Midcycle = after Cycle 3 but before Cycle 4, Cycle 6 Day 1 (C6D1), End of Treatment (C6,D21), and Follow-Up Period up to Week 34
Secondary outcome [12] 0 0
Mean Change From Baseline in the FACT-Lym Trial Outcome Index (TOI)
Timepoint [12] 0 0
Baseline and Midcycle = after Cycle 3 but before Cycle 4, Cycle 6 Day 1 (C6D1), End of Treatment (C6,D21), and Follow-Up Period up to Week 34
Secondary outcome [13] 0 0
Mean Change From Baseline in the Euroqol 5-Dimension 3-Level (EQ-5D-3L) Index Score
Timepoint [13] 0 0
Baseline and Midcycle = after Cycle 3 but before Cycle 4, Cycle 6 Day 1 (C6D1), End of Treatment (C6,D21), and Follow-Up Period up to Week 34
Secondary outcome [14] 0 0
Mean Change From Baseline in the EQ-5D-3L Visual Analogue Scale (VAS)
Timepoint [14] 0 0
Baseline and Midcycle = after Cycle 3 but before Cycle 4, Cycle 6 Day 1 (C6D1), End of Treatment (C6,D21), and Follow-Up Period up to Week 34

Eligibility
Key inclusion criteria
1. Histologically proven Diffuse Large B-Cell Lymphoma of the Activated B-Cell type

2. Newly diagnosed, previously untreated Diffuse Large B-Cell Lymphoma

3. Measurable Diffuse Large B-Cell Lymphoma disease by Computed Tomography (CT) /
Magnetic Resonance Imagining (MRI) scans

4. Eastern Cooperative Oncology Group (ECOG) performance status 0 - 2

5. Age 18 - 80 years; age > 80 allowed at investigator discretion if performance status =
1; and each organ system score = 2 using cumulative illness rating scale (CIRS)
Minimum age
18 Years
Maximum age
80 Years
Sex
Both males and females
Can healthy volunteers participate?
No
Key exclusion criteria
1. Diagnosis of lymphoma histologies other than Diffuse Large B-Cell Lymphoma

2. History of malignancies, other than Diffuse Large B-Cell Lymphoma, unless the patient
has been disease free for 5 years or more

3. Known seropositive for, or history of, active Human Immunodeficiency Virus (HIV)
Hepatitis B Virus (HBV), Hepatitis C Virus (HCV)

4. Contraindication to any drug in the chemotherapy regimen, and specifically: LVEF (Left
Ventricular Ejection Fraction) < 45% or peripheral neuropathy grade 2

Study design
Purpose of the study
Treatment
Allocation to intervention
Randomised controlled trial
Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Masking / blinding
Blinded (masking used)
Who is / are masked / blinded?
The people receiving the treatment/s
The people administering the treatment/s
The people assessing the outcomes
The people analysing the results/data
Intervention assignment
Parallel
Other design features
Phase
Phase 3
Type of endpoint/s
Statistical methods / analysis

Recruitment
Recruitment status
Completed
Data analysis
Reason for early stopping/withdrawal
Other reasons
Date of first participant enrolment
Anticipated
Actual
Date of last participant enrolment
Anticipated
Actual
Date of last data collection
Anticipated
Actual
Sample size
Target
Accrual to date
Final
Recruitment in Australia
Recruitment state(s)
NSW,VIC
Recruitment hospital [1] 0 0
Local Institution - 004 - Albury
Recruitment hospital [2] 0 0
Local Institution - 008 - Clayton
Recruitment hospital [3] 0 0
Local Institution - 002 - Geelong
Recruitment hospital [4] 0 0
Local Institution - 003 - Frankston
Recruitment postcode(s) [1] 0 0
2640 - Albury
Recruitment postcode(s) [2] 0 0
3168 - Clayton
Recruitment postcode(s) [3] 0 0
3220 - Geelong
Recruitment postcode(s) [4] 0 0
3199 - Frankston
Recruitment outside Australia
Country [1] 0 0
United States of America
State/province [1] 0 0
Arkansas
Country [2] 0 0
United States of America
State/province [2] 0 0
California
Country [3] 0 0
United States of America
State/province [3] 0 0
Connecticut
Country [4] 0 0
United States of America
State/province [4] 0 0
Florida
Country [5] 0 0
United States of America
State/province [5] 0 0
Iowa
Country [6] 0 0
United States of America
State/province [6] 0 0
Kansas
Country [7] 0 0
United States of America
State/province [7] 0 0
Louisiana
Country [8] 0 0
United States of America
State/province [8] 0 0
Maryland
Country [9] 0 0
United States of America
State/province [9] 0 0
Minnesota
Country [10] 0 0
United States of America
State/province [10] 0 0
North Carolina
Country [11] 0 0
United States of America
State/province [11] 0 0
Pennsylvania
Country [12] 0 0
United States of America
State/province [12] 0 0
Texas
Country [13] 0 0
United States of America
State/province [13] 0 0
Utah
Country [14] 0 0
United States of America
State/province [14] 0 0
Washington
Country [15] 0 0
Belgium
State/province [15] 0 0
Brussels
Country [16] 0 0
Belgium
State/province [16] 0 0
Liege
Country [17] 0 0
Belgium
State/province [17] 0 0
Roeselare
Country [18] 0 0
Belgium
State/province [18] 0 0
Sint-Niklaas
Country [19] 0 0
Canada
State/province [19] 0 0
Alberta
Country [20] 0 0
Canada
State/province [20] 0 0
British Columbia
Country [21] 0 0
Canada
State/province [21] 0 0
New Brunswick
Country [22] 0 0
Canada
State/province [22] 0 0
Quebec
Country [23] 0 0
China
State/province [23] 0 0
Beijing
Country [24] 0 0
China
State/province [24] 0 0
Changchun
Country [25] 0 0
China
State/province [25] 0 0
Chengdu
Country [26] 0 0
China
State/province [26] 0 0
Chongqing
Country [27] 0 0
China
State/province [27] 0 0
Fuzhou
Country [28] 0 0
China
State/province [28] 0 0
Guangzhou, Guangdong
Country [29] 0 0
China
State/province [29] 0 0
Hangzhou
Country [30] 0 0
China
State/province [30] 0 0
Harbin, Heilongjiang
Country [31] 0 0
China
State/province [31] 0 0
Nanjing, Jiangsu
Country [32] 0 0
China
State/province [32] 0 0
Nanjing
Country [33] 0 0
China
State/province [33] 0 0
Shanghai
Country [34] 0 0
China
State/province [34] 0 0
Suzhu
Country [35] 0 0
China
State/province [35] 0 0
Tianjin
Country [36] 0 0
China
State/province [36] 0 0
Wuhan
Country [37] 0 0
Czechia
State/province [37] 0 0
Brno
Country [38] 0 0
Czechia
State/province [38] 0 0
Hradec Kralove
Country [39] 0 0
Czechia
State/province [39] 0 0
Olomouc
Country [40] 0 0
Czechia
State/province [40] 0 0
Prague 10
Country [41] 0 0
Czechia
State/province [41] 0 0
Praha
Country [42] 0 0
France
State/province [42] 0 0
Bayonne
Country [43] 0 0
France
State/province [43] 0 0
Bordeaux
Country [44] 0 0
France
State/province [44] 0 0
Montpellier
Country [45] 0 0
France
State/province [45] 0 0
Paris
Country [46] 0 0
France
State/province [46] 0 0
Pessac Cedex
Country [47] 0 0
France
State/province [47] 0 0
Toulose
Country [48] 0 0
France
State/province [48] 0 0
Vandoeuvre les Nancy
Country [49] 0 0
Ireland
State/province [49] 0 0
Dublin 4
Country [50] 0 0
Ireland
State/province [50] 0 0
Galway
Country [51] 0 0
Israel
State/province [51] 0 0
Beer-Sheva
Country [52] 0 0
Israel
State/province [52] 0 0
Haifa
Country [53] 0 0
Israel
State/province [53] 0 0
Jerusalem
Country [54] 0 0
Israel
State/province [54] 0 0
Kfar-Saba
Country [55] 0 0
Israel
State/province [55] 0 0
Petach Tikva
Country [56] 0 0
Israel
State/province [56] 0 0
Tel-Aviv
Country [57] 0 0
Israel
State/province [57] 0 0
Zerifin
Country [58] 0 0
Italy
State/province [58] 0 0
Umbria
Country [59] 0 0
Italy
State/province [59] 0 0
Allessandria
Country [60] 0 0
Italy
State/province [60] 0 0
Brescia
Country [61] 0 0
Italy
State/province [61] 0 0
Cuneo
Country [62] 0 0
Italy
State/province [62] 0 0
Firenze
Country [63] 0 0
Italy
State/province [63] 0 0
Genova
Country [64] 0 0
Italy
State/province [64] 0 0
Ivrea
Country [65] 0 0
Italy
State/province [65] 0 0
Meldola
Country [66] 0 0
Italy
State/province [66] 0 0
Milano
Country [67] 0 0
Italy
State/province [67] 0 0
Napoli, Campania
Country [68] 0 0
Italy
State/province [68] 0 0
Novara
Country [69] 0 0
Italy
State/province [69] 0 0
Padova
Country [70] 0 0
Italy
State/province [70] 0 0
Pagani
Country [71] 0 0
Italy
State/province [71] 0 0
Pavia
Country [72] 0 0
Italy
State/province [72] 0 0
Ravenna
Country [73] 0 0
Italy
State/province [73] 0 0
Reggio Emilia
Country [74] 0 0
Italy
State/province [74] 0 0
Rimini
Country [75] 0 0
Italy
State/province [75] 0 0
Roma
Country [76] 0 0
Italy
State/province [76] 0 0
Rome
Country [77] 0 0
Italy
State/province [77] 0 0
Torino
Country [78] 0 0
Italy
State/province [78] 0 0
Tricase
Country [79] 0 0
Italy
State/province [79] 0 0
Udine
Country [80] 0 0
Italy
State/province [80] 0 0
Verona
Country [81] 0 0
Italy
State/province [81] 0 0
Vicenza
Country [82] 0 0
Japan
State/province [82] 0 0
Tokyo
Country [83] 0 0
Japan
State/province [83] 0 0
Akita-shi
Country [84] 0 0
Japan
State/province [84] 0 0
Fukuoka
Country [85] 0 0
Japan
State/province [85] 0 0
Isehara City, Kanagawa
Country [86] 0 0
Japan
State/province [86] 0 0
Kashiwa
Country [87] 0 0
Japan
State/province [87] 0 0
Kyoto-City
Country [88] 0 0
Japan
State/province [88] 0 0
Minami-Ku, Fukuoka
Country [89] 0 0
Japan
State/province [89] 0 0
Nagoya
Country [90] 0 0
Japan
State/province [90] 0 0
Sendai-city
Country [91] 0 0
Japan
State/province [91] 0 0
Yamagata
Country [92] 0 0
Korea, Republic of
State/province [92] 0 0
Gyeonggi-do
Country [93] 0 0
Korea, Republic of
State/province [93] 0 0
Seoul
Country [94] 0 0
Netherlands
State/province [94] 0 0
Amsterdam
Country [95] 0 0
Netherlands
State/province [95] 0 0
Breda
Country [96] 0 0
Netherlands
State/province [96] 0 0
Hoofddorp
Country [97] 0 0
Netherlands
State/province [97] 0 0
Leeuwarden
Country [98] 0 0
Netherlands
State/province [98] 0 0
s-Hertogenbosch
Country [99] 0 0
Netherlands
State/province [99] 0 0
Schiedam
Country [100] 0 0
New Zealand
State/province [100] 0 0
Christchurch
Country [101] 0 0
New Zealand
State/province [101] 0 0
Palmerston
Country [102] 0 0
Portugal
State/province [102] 0 0
Figueira da Foz
Country [103] 0 0
Portugal
State/province [103] 0 0
Lisboa
Country [104] 0 0
Portugal
State/province [104] 0 0
Pragal
Country [105] 0 0
Puerto Rico
State/province [105] 0 0
San Juan
Country [106] 0 0
Russian Federation
State/province [106] 0 0
Kazan
Country [107] 0 0
Russian Federation
State/province [107] 0 0
Moscow
Country [108] 0 0
Russian Federation
State/province [108] 0 0
St. Petersburg
Country [109] 0 0
Spain
State/province [109] 0 0
Barcelona
Country [110] 0 0
Spain
State/province [110] 0 0
Caceres
Country [111] 0 0
Spain
State/province [111] 0 0
Madrid
Country [112] 0 0
Spain
State/province [112] 0 0
Salamanca
Country [113] 0 0
Spain
State/province [113] 0 0
Sevilla
Country [114] 0 0
Spain
State/province [114] 0 0
Valencia
Country [115] 0 0
Switzerland
State/province [115] 0 0
Bellinzona
Country [116] 0 0
Switzerland
State/province [116] 0 0
Geneva
Country [117] 0 0
Switzerland
State/province [117] 0 0
Winterthur
Country [118] 0 0
Taiwan
State/province [118] 0 0
Niao-Sung Hsiang Kaohsiung County
Country [119] 0 0
Taiwan
State/province [119] 0 0
Taichung City
Country [120] 0 0
Taiwan
State/province [120] 0 0
Taipei, Zhongzheng Dist.
Country [121] 0 0
Turkey
State/province [121] 0 0
Adana
Country [122] 0 0
Turkey
State/province [122] 0 0
Ankara
Country [123] 0 0
Turkey
State/province [123] 0 0
Antalya
Country [124] 0 0
Turkey
State/province [124] 0 0
Denizli
Country [125] 0 0
Turkey
State/province [125] 0 0
Edirne
Country [126] 0 0
Turkey
State/province [126] 0 0
Istanbul

Funding & Sponsors
Primary sponsor type
Commercial sector/Industry
Name
Celgene
Address
Country

Ethics approval
Ethics application status

Summary
Brief summary
To evaluate the efficacy and safety of lenalidomide, rituximab, cyclophosphamide,
doxorubicin, vincristine, and prednisone (R2-CHOP) chemotherapy versus placebo, rituximab,
cyclophosphamide, doxorubicin, vincristine, and prednisone (placebo-R-CHOP) chemotherapy in
patients who have previously untreated ABC type DLBCL.
Trial website
https://clinicaltrials.gov/ct2/show/NCT02285062
Trial related presentations / publications
Nowakowski GS, Chiappella A, Witzig TE, Spina M, Gascoyne RD, Zhang L, Flament J, Repici J, Vitolo U. ROBUST: Lenalidomide-R-CHOP versus placebo-R-CHOP in previously untreated ABC-type diffuse large B-cell lymphoma. Future Oncol. 2016 Jul;12(13):1553-63. doi: 10.2217/fon-2016-0130. Epub 2016 Apr 18.
Public notes

Contacts
Principal investigator
Name 0 0
Bristol-Myers Squibb
Address 0 0
Bristol-Myers Squibb
Country 0 0
Phone 0 0
Fax 0 0
Email 0 0
Contact person for public queries
Name 0 0
Address 0 0
Country 0 0
Phone 0 0
Fax 0 0
Email 0 0
Contact person for scientific queries



Summary Results

For IPD and results data, please see https://clinicaltrials.gov/ct2/show/NCT02285062