An Investigational Immuno-therapy Study of Nivolumab Compared to Sorafenib as a First Treatment in Patients With Advanced Hepatocellular Carcinoma
- Registration Number
- NCT02576509
- Lead Sponsor
- Bristol-Myers Squibb
- Brief Summary
The purpose of this study is to determine if nivolumab or sorafenib is more effective in the treatment of Advanced Hepatocellular Carcinoma.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 743
- Histologically confirmed advanced hepatocellular carcinoma, not eligible for surgical and/or locoregional therapies; or progressive disease after surgical and /or locoregional therapies
- Locoregional therapy for hepatocellular carcinoma (HCC) must be completed at least 4 weeks prior to the baseline scan
- Child-Pugh Class A
- Eastern Cooperative Oncology Group (ECOG) performance status (PS) 0 or 1
- Known fibrolamellar HCC, sarcomatoid HCC, or mixed cholangiocarcinoma and HCC
- Prior liver transplant
- Active, known, or suspected autoimmune disease
Other protocol-defined inclusion/exclusion criteria apply
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description Sorafenib Sorafenib Sorafenib specified dose on specified days Nivolumab Nivolumab Nivolumab specified dose on specified days
- Primary Outcome Measures
Name Time Method Overall Survival (OS) time from the date of randomization to the date of death due to any cause, assessed up to June 2019 (approximately 41 months) OS is defined as the time from the date of randomization to the date of death due to any cause in all randomized participants. Participants who are alive will be censored at the last known alive dates.
Based on Kaplan-Meier Estimates.
- Secondary Outcome Measures
Name Time Method Objective Response Rate (ORR) Per BICR RECIST 1.1 the date of randomization and the date of first objectively documented progression or the date of subsequent anti-cancer therapy, whichever occurs first, assessed up to May 2019 (approximately 40 months) ORR is defined as the proportion of participants whose best overall response (BOR) is either a complete response (CR) or partial response (PR). BOR is defined as the best response designation, as determined based on BICR-assessed tumor response according to RECIST 1.1, recorded between the date of randomization and the date of first objectively documented progression or the date of subsequent anti-cancer therapy, whichever occurs first. For participants without documented progression or subsequent anti-cancer therapy, all available response designations will contribute to the BOR determination. For a BOR of CR or PR, the initial response assessment must be confirmed by a consecutive assessment no less than 4 weeks (28 days) later.
Estimate of (Nivolumab - Sorafenib) is based on CMH method of weighting, stratified by stratification factorsProgression-Free Survival (PFS) time from the date of randomization to the date of the first objectively documented tumor progression or death, assessed up to May 2019 (approximately 40 months) PFS is defined as the time from the date of randomization to the date of the first objectively documented tumor progression as assessed by BICR according to RECIST 1.1 or death due to any cause in all randomized participants. Participants who die without a reported prior progression and without initiation of subsequent anti-cancer therapy will be considered to have progressed on the date of their death. Participants who did not progress or die will be censored on the date of their last tumor assessment. Participants who did not have baseline tumor assessment will be censored on the date they were randomized. Participants who did not have any on study tumor assessments and did not die will be censored on the date they were randomized. Participants who started any subsequent anti-cancer therapy without a prior reported progression will be censored at the last tumor assessment prior to subsequent anti-cancer therapy.
Efficacy Based on PD-L1 Expression - OS and PFS the date of randomization and the date of first objectively documented progression or the date of subsequent anti-cancer therapy, whichever occurs first, assessed up to May 2019 (approximately 40 months) PD-L1 expression is defined as the percent of tumor cell membrane staining in a minimum of 100 evaluable tumor cells per Dako PD-L1 IHC assay unless otherwise specified. This is referred as quantifiable PD-L1 expression. If the PD-L1 staining could not be quantified, it is further classifies as:
Indeterminate: Tumor cell membrane staining hampered for reasons attributed to the biology of the tumor biopsy specimen and not because of improper sample preparation or handling.
Not evaluable: Tumor biopsy specimen was not optimally collected or prepared (e.g. PD-L1 expression is neither quantifiable nor indeterminate).
PD-L1 status is a dichotomized variable using an X% cut-off for quantifiable PD-L1 expression:
* PD-L1 \> X %: ≥ X % PD-L1 expression
* PD-L1 \< X %: \< X % PD-L1 expression where X% denotes the PD-L1 expression cut-off of 1%. Additional cut off values may also be explored.
Confidence interval based on the Clopper and Pearson method.Efficacy Based on PD-L1 Expression - ORR the date of randomization and the date of first objectively documented progression or the date of subsequent anti-cancer therapy, whichever occurs first, assessed up to May 2019 (approximately 40 months) PD-L1 expression is defined as the percent of tumor cell membrane staining in a minimum of 100 evaluable tumor cells per Dako PD-L1 IHC assay unless otherwise specified. This is referred as quantifiable PD-L1 expression. If the PD-L1 staining could not be quantified, it is further classifies as:
Indeterminate: Tumor cell membrane staining hampered for reasons attributed to the biology of the tumor biopsy specimen and not because of improper sample preparation or handling.
Not evaluable: Tumor biopsy specimen was not optimally collected or prepared (e.g. PD-L1 expression is neither quantifiable nor indeterminate).
PD-L1 status is a dichotomized variable using an X% cut-off for quantifiable PD-L1 expression:
* PD-L1 \> X %: ≥ X % PD-L1 expression
* PD-L1 \< X %: \< X % PD-L1 expression where X% denotes the PD-L1 expression cut-off of 1%. Additional cut off values may also be explored.
Confidence interval based on the Clopper and Pearson method.
Trial Locations
- Locations (138)
Local Institution - 0055
🇮🇹Milan, Italy
Local Institution - 0039
🇦🇹Graz, Austria
Local Institution - 0075
🇧🇪Bruxelles, Belgium
Local Institution - 0091
🇧🇪Leuven, Belgium
Local Institution - 0095
🇺🇸Philadelphia, Pennsylvania, United States
Local Institution - 0077
🇧🇪Liege, Belgium
UT Southwestern Medical Center
🇺🇸Dallas, Texas, United States
Local Institution - 0093
🇺🇸New York, New York, United States
Local Institution - 0019
🇺🇸Philadelphia, Pennsylvania, United States
Local Institution - 0016
🇺🇸Charlotte, North Carolina, United States
Local Institution - 0083
🇺🇸New York, New York, United States
Local Institution - 0054
🇮🇹Benevento, Italy
Local Institution - 0042
🇨🇦Quebec, Canada
Local Institution - 0058
🇮🇱Petah-tikva, Israel
Local Institution - 0030
🇩🇪Tuebingen, Germany
Local Institution - 0071
🇫🇷La Tronche, France
Local Institution - 0072
🇫🇷Lille Cedex, France
Local Institution - 0073
🇫🇷Montpellier Cedex, France
Local Institution - 0011
🇭🇰Hong Kong, Hong Kong
Local Institution - 0063
🇮🇹Orbassano, Italy
Local Institution - 0107
🇯🇵Kurume-shi, Fukuoka, Japan
Local Institution - 0032
🇩🇪Regensburg, Germany
Local Institution - 0062
🇮🇹Bergamo, Italy
Local Institution - 0033
🇩🇪Munich, Germany
Local Institution - 0082
🇮🇱Haifa, Israel
Local Institution - 0028
🇨🇿Olomouc, Czechia
Local Institution - 0101
🇯🇵Hiroshima, Japan
Local Institution - 0115
🇯🇵Saga-shi, Saga, Japan
Local Institution - 0123
🇰🇷Seoul, Korea, Republic of
Local Institution - 0060
🇮🇱Jerusalem, Israel
Local Institution - 0130
🇯🇵Sapporo-shi, Hokkaido, Japan
Local Institution - 0105
🇯🇵Kanazawa-shi, Ishikawa, Japan
Local Institution - 0064
🇮🇹Siena, Italy
Local Institution - 0085
🇪🇸Majadahonda - Madrid, Spain
Local Institution - 0037
🇩🇪Essen, Germany
Local Institution - 0112
🇯🇵Yokohama-shi, Kanagawa, Japan
Local Institution - 0125
🇰🇷Daegu, Korea, Republic of
Local Institution - 0100
🇯🇵Chiba City, Chiba, Japan
Local Institution - 0096
🇷🇺Moscow, Russian Federation
Local Institution - 0124
🇰🇷Seoul, Korea, Republic of
Local Institution - 0014
🇸🇬Singapore, Singapore
Local Institution - 0127
🇯🇵Ogaki-shi, Gifu, Japan
Local Institution - 0102
🇯🇵Sapporo-shi, Hokkaido, Japan
Local Institution - 0079
🇬🇧Glasgow, Lanarkshire, United Kingdom
Local Institution - 0122
🇰🇷Seoul, Korea, Republic of
Local Institution - 0116
🇰🇷Goyang-si, Korea, Republic of
Local Institution - 0108
🇯🇵Musashino-shi, Tokyo, Japan
Local Institution - 0013
🇸🇬Singapore, Singapore
Local Institution - 0129
🇨🇳Kaohsiung County, Taiwan
Local Institution - 0106
🇯🇵Osaka-Sayama-Shi, Osaka, Japan
Local Institution - 0117
🇰🇷Seoul, Seocho-gu, Korea, Republic of
Local Institution - 0119
🇰🇷Seoul-si, Korea, Republic of
Local Institution - 0120
🇨🇳Taipei, Taiwan
Local Institution - 0045
🇵🇱Wroclaw, Poland
Local Institution - 0133
🇨🇳Taichung, Taiwan
Local Institution - 0121
🇨🇳Tainan, Taiwan
Local Institution - 0087
🇸🇪Stockholm, Sweden
Local Institution - 0010
🇪🇸Santiago Compostela, Spain
Local Institution - 0020
🇺🇸Los Angeles, California, United States
Local Institution - 0061
🇺🇸Chicago, Illinois, United States
Local Institution - 0026
🇺🇸Seattle, Washington, United States
University of Washington - Seattle Cancer Care Alliance
🇺🇸Seattle, Washington, United States
Local Institution - 0131
🇯🇵Chiyoda-ku, Tokyo, Japan
Ochsner Clinic Foundation
🇺🇸New Orleans, Louisiana, United States
Local Institution - 0139
🇨🇳Beijing, Beijing, China
Local Institution - 0140
🇨🇳Beijing, Beijing, China
Local Institution - 0141
🇨🇳Beijing, Beijing, China
Local Institution - 0161
🇨🇳Guangzhou, Guangdong, China
Local Institution - 0144
🇨🇳Guangzhou, Guangdong, China
Local Institution - 0158
🇨🇳Nanning, Guangxi, China
Local Institution - 0148
🇨🇳Changsha, Hunan, China
Local Institution - 0162
🇨🇳Changsha, Hunan, China
Local Institution - 0135
🇨🇳Nanjing, Jiangsu, China
Local Institution - 0136
🇨🇳Changchun, Jilin, China
Local Institution - 0163
🇨🇳Changchun, Jilin, China
Local Institution - 0151
🇨🇳Shanghai, Shanghai, China
Local Institution - 0146
🇨🇳Hangzhou, Zhejiang, China
Local Institution - 0015
🇺🇸San Francisco, California, United States
Local Institution - 0084
🇺🇸San Francisco, California, United States
Local Institution - 0017
🇺🇸San Antonio, Texas, United States
Local Institution - 0066
🇺🇸Birmingham, Alabama, United States
Local Institution - 0088
🇸🇪Goteborg, Sweden
Local Institution - 0067
🇫🇷Paris Cedex 13, France
Local Institution - 0068
🇫🇷Pessac, France
Local Institution - 0081
🇬🇧Liverpool, United Kingdom
Local Institution - 0103
🇯🇵Matsuyama-shi, Ehime, Japan
Local Institution - 0110
🇯🇵Kawasaki-shi, Kanagawa, Japan
Local Institution - 0012
🇭🇰Hong Kong, Hong Kong
Local Institution - 0128
🇨🇳Taoyuan County, Taiwan
Scott & White Memorial Hospital And Clinic
🇺🇸Temple, Texas, United States
Local Institution - 0050
🇺🇸Madison, Wisconsin, United States
Local Institution - 0005
🇦🇺Camperdown, New South Wales, Australia
Local Institution - 0007
🇦🇺Adelaide, South Australia, Australia
Local Institution - 0001
🇦🇺Clayton, Victoria, Australia
Local Institution - 0038
🇦🇹Wien, Austria
Local Institution - 0003
🇦🇺Prahran, Victoria, Australia
Local Institution - 0008
🇦🇺Nedlands, Western Australia, Australia
Local Institution - 0043
🇨🇦Calgary, Alberta, Canada
Local Institution - 0044
🇨🇦Vancouver, British Columbia, Canada
Local Institution - 0164
🇨🇳Hefei, Anhui, China
Local Institution - 0137
🇨🇳Beijing, Beijing, China
Local Institution - 0152
🇨🇳Fuzhou, Fujian, China
Local Institution - 0157
🇨🇳Guangzhou, Guangdong, China
Local Institution - 0142
🇨🇳Harbin, Heilongjiang, China
Local Institution - 0169
🇨🇳Changzhou, Jiangsu, China
Local Institution - 0138
🇨🇳Xi'an, Shan3xi, China
Local Institution - 0166
🇨🇳Dalian, Liaoning, China
Local Institution - 0159
🇨🇳Tianjin, Tianjin, China
Local Institution - 0145
🇨🇳Shanghai, Shanghai, China
Local Institution - 0173
🇨🇳Hangzhou, Zhejiang, China
Local Institution - 0029
🇨🇿Brno, Czechia
Local Institution - 0027
🇨🇿Hradec Kralove, Czechia
Local Institution - 0069
🇫🇷Lyon, France
Local Institution - 0070
🇫🇷Rennes Cedex, France
Local Institution - 0074
🇫🇷Toulouse Cedex 9, France
Local Institution - 0167
🇩🇪Frankfurt, Germany
Local Institution - 0036
🇩🇪Berlin, Germany
Local Institution - 0034
🇩🇪Hamburg, Germany
Local Institution - 0059
🇮🇱Tel Aviv, Israel
Local Institution - 0035
🇩🇪Mainz, Germany
Local Institution - 0113
🇯🇵Suita, Osaka, Japan
Local Institution - 0111
🇯🇵Kyoto-shi, Kyoto, Japan
Local Institution - 0126
🇯🇵Shinjuku-ku, Tokyo, Japan
Local Institution - 0114
🇯🇵Mitaka-shi, Tokyo, Japan
Local Institution - 0118
🇰🇷Jeollanam-do, Korea, Republic of
Local Institution - 0009
🇪🇸Pamplona, Spain
Local Institution - 0056
🇵🇱Warszawa, Poland
Local Institution - 0065
🇪🇸Alicante, Spain
Local Institution - 0040
🇨🇭Basel, Switzerland
Local Institution - 0041
🇨🇭Bern, Switzerland
Local Institution - 0099
🇨🇳Taipei, Taiwan
Local Institution - 0132
🇨🇳Tainan, Taiwan
Local Institution - 0080
🇬🇧London, Greater London, United Kingdom
Local Institution - 0078
🇬🇧London, Greater London, United Kingdom
Local Institution - 0002
🇦🇺Heidelberg, Victoria, Australia
Local Institution - 0104
🇯🇵Yokohama-shi, Kanagawa, Japan
Local Institution - 0031
🇩🇪Leipzig, Germany
Local Institution - 0023
🇵🇱Gdansk, Poland