- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT00692770
Sorafenib as Adjuvant Treatment in the Prevention Of Recurrence of Hepatocellular Carcinoma (STORM) (STORM)
July 11, 2018 updated by: Bayer
A Phase III Randomized, Double-blind, Placebo-controlled Study of Sorafenib as Adjuvant Treatment for Hepatocellular Carcinoma After Surgical Resection or Local Ablation.
To evaluate efficacy and safety of sorafenib versus placebo in the adjuvant treatment of Hepatocellular Carcinoma (HCC) after potentially curative treatment (surgical resection or local ablation).
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Study Type
Interventional
Enrollment (Actual)
1114
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
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Buenos Aires
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Pilar, Buenos Aires, Argentina, B1629ODT
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Ciudad Auton. De Buenos Aires
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Buenos Aires, Ciudad Auton. De Buenos Aires, Argentina, C1181ACH
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Santa Fe
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Rosario, Santa Fe, Argentina, S2002KDS
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New South Wales
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Camperdown, New South Wales, Australia, 2050
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Randwick, New South Wales, Australia, 2031
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Queensland
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Brisbane, Queensland, Australia, 4120
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Victoria
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Heidelberg, Victoria, Australia, 3084
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Melbourne, Victoria, Australia, 3004
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Innsbruck, Austria, 6020
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Linz, Austria, 4020
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Wien, Austria, 1090
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Bruxelles - Brussel, Belgium, 1200
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Gent, Belgium, 9000
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Leuven, Belgium, 3000
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Liege, Belgium, 4000
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Sao Paulo, Brazil, 01246-903
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Rio Grande Do Sul
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Porto Alegre, Rio Grande Do Sul, Brazil, 90610-000
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Porto Alegre, Rio Grande Do Sul, Brazil, 90035-903
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Porto Alegre, Rio Grande Do Sul, Brazil, 90470 340
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Sao Paulo
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São Paulo, Sao Paulo, Brazil, 01323-001
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Plovdiv, Bulgaria, 4002
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Varna, Bulgaria, 2010
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Alberta
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Calgary, Alberta, Canada, T2N 4N1
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Edmonton, Alberta, Canada, T6G 1Z2
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British Columbia
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Vancouver, British Columbia, Canada, V5Z 4E6
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Ontario
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Ottawa, Ontario, Canada, K1H 8L6
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Toronto, Ontario, Canada, M5G 2M9
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Santiago
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Santiago de Chile, Santiago, Chile, 833-0024
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Valparaíso
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Reñaca, Valparaíso, Chile
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Beijing, China, 100021
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Beijing, China, 100142
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Beijing, China, 100071
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Beijing, China, 100853
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Beijng, China, 100142
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Chongqing, China, 400038
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Dalian, China, 116027
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Hefei, China, 230022
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Shanghai, China, 200001
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Shanghai, China, 200438
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Tianjin, China, 300060
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Guangdong
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Guangzhou, Guangdong, China, 510080
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Guangzhou, Guangdong, China, 510060
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Guangzhou, Guangdong, China, 510515
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Guangxi
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Nanning, Guangxi, China, 530021
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Hubei
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Wuhan, Hubei, China, 430022
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Hunan
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Changsha, Hunan, China, 410013
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Changsha, Hunan, China, 410008
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Jiangsu
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Nanjing, Jiangsu, China, 210002
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Shanxi
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Xi'an, Shanxi, China, 710038
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Xi'an, Shanxi, China, 710061
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Xi'an, Shanxi, China, 710068
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Sichuan
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Chengdu, Sichuan, China, 610041
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Chengdu, Sichuan, China, 610072
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ANGERS cedex 09, France, 49933
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Bondy, France, 93143
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Bordeaux, France, 33000
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Creteil, France, 94010
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Lille, France, 59037
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Lyon, France, 69004
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Marseille, France, 13005
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Nice, France, 06202
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Paris, France, 75571
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Paris, France, 75020
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Rennes, France, 35000
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Toulouse, France, 31059
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Vandoeuvre-les-nancy, France, 54500
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Villejuif, France, 94800
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Berlin, Germany, 12200
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Hamburg, Germany, 20246
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Bayern
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München, Bayern, Germany, 81675
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München, Bayern, Germany, 81377
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Regensburg, Bayern, Germany, 93042
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Niedersachsen
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Göttingen, Niedersachsen, Germany, 37075
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Hannover, Niedersachsen, Germany, 30625
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Nordrhein-Westfalen
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Aachen, Nordrhein-Westfalen, Germany, 52074
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Düsseldorf, Nordrhein-Westfalen, Germany, 40225
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Essen, Nordrhein-Westfalen, Germany, 45147
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Köln, Nordrhein-Westfalen, Germany, 50937
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Rheinland-Pfalz
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Mainz, Rheinland-Pfalz, Germany, 55131
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Saarland
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Homburg/Saar, Saarland, Germany, 66421
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Sachsen-Anhalt
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Halle/Saale, Sachsen-Anhalt, Germany, 06120
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Magdeburg, Sachsen-Anhalt, Germany, 39120
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Athens / Greece, Greece, 115 27
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Hong Kong, Hong Kong
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Kwun Tong, Hong Kong
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Shatin, Hong Kong
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Campania
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Benevento, Campania, Italy, 82100
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Napoli, Campania, Italy, 80131
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Napoli, Campania, Italy, 80123
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Emilia-Romagna
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Bologna, Emilia-Romagna, Italy, 40138
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Modena, Emilia-Romagna, Italy, 41124
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Lazio
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Roma, Lazio, Italy, 00168
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Lombardia
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Milano, Lombardia, Italy, 20133
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Milano, Lombardia, Italy, 20121
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Piemonte
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Torino, Piemonte, Italy, 10126
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Puglia
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Bari, Puglia, Italy, 70124
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Sardegna
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Cagliari, Sardegna, Italy, 09134
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Sicilia
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Catania, Sicilia, Italy, 95122
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Palermo, Sicilia, Italy, 90127
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Veneto
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Padova, Veneto, Italy, 35128
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Fukuoka, Japan, 812-8582
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Kumamoto, Japan, 860-8556
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Kyoto, Japan, 606-8507
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Okayama, Japan, 700-8558
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Osaka, Japan, 537-8511
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Tokushima, Japan, 770-8503
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Chiba
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Kashiwa-shi, Chiba, Japan, 277-8577
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Ishikawa
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Kanazawa, Ishikawa, Japan, 920-8641
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Kanagawa
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Yokohama-shi, Kanagawa, Japan, 232-0024
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Osaka
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Osakasayama-shi, Osaka, Japan, 589-8511
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Suita, Osaka, Japan, 565-0871
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Tokyo
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Bunkyo-ku, Tokyo, Japan, 113-8655
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Chuo-ku, Tokyo, Japan, 104-0045
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Itabashi-ku, Tokyo, Japan, 173-8610
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Minato-ku, Tokyo, Japan, 105-8470
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Shibuya-ku, Tokyo, Japan, 150-8935
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Shinjuku-ku, Tokyo, Japan, 162-8666
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Busan, Korea, Republic of, 49241
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Daegu, Korea, Republic of, 700721
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Jeollabuk-do, Korea, Republic of, 561-712
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Seoul, Korea, Republic of, 110-744
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Seoul, Korea, Republic of, 120-752
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Seoul, Korea, Republic of, 135-710
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Seoul, Korea, Republic of, 05505
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Gyeonggido
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Goyang-si, Gyeonggido, Korea, Republic of, 411-706
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Goyang-si, Gyeonggido, Korea, Republic of, 410-769
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Seoul Teugbyeolsi
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Seoul, Seoul Teugbyeolsi, Korea, Republic of, 135-720
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México, D.F., Mexico, 14050
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Distrito Federal
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México, D.F., Distrito Federal, Mexico, 14080
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Nuevo Leon
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Monterrey, Nuevo Leon, Mexico, 64710
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Auckland, New Zealand, 1023
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Coimbra, Portugal, 3000-075
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Bucharest, Romania, 022326
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Cluj-Napoca, Romania, 400015
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Iasi, Romania, 700106
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Moscow, Russian Federation, 119991
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Moscow, Russian Federation, 115478
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Obninsk, Russian Federation, 249036
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St. Petersburg, Russian Federation, 197758
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Singapore, Singapore, 119228
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Singapore, Singapore, 169608
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Badajoz, Spain, 06080
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Barcelona, Spain, 08036
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Córdoba, Spain, 14004
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Madrid, Spain, 28040
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Madrid, Spain, 28007
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Valladolid, Spain, 47012
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Asturias
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Oviedo, Asturias, Spain, 33011
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Barcelona
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Sabadell, Barcelona, Spain, 08208
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Bilbao
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Cruces/Barakaldo, Bilbao, Spain, 48903
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Catalunya
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Barcelona, Catalunya, Spain, 08035
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Madrid
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Majadahonda, Madrid, Spain, 28222
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Göteborg, Sweden, 413 45
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Stockholm, Sweden, 141 86
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Bern, Switzerland, 3010
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Zürich, Switzerland, 8091
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Changhua, Taiwan, 500-06
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Kaohsiung City, Taiwan, 807
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Kaohsung, Taiwan, 833
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Tainan, Taiwan, 704
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Taipei, Taiwan, 100
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Taipei, Taiwan, 112
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Taoyuan, Taiwan, 333
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London, United Kingdom, SE5 9RS
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London, United Kingdom, NW3 2QG
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Manchester, United Kingdom, M20 4BX
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Newcastle Upon Tyne, United Kingdom, NE7 7DN
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Hampshire
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Southampton, Hampshire, United Kingdom, SO16 6YD
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West Midlands
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Birmingham, West Midlands, United Kingdom, B15 2TT
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West Yorkshire
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Leeds, West Yorkshire, United Kingdom, LS9 7TF
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Alabama
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Birmingham, Alabama, United States, 35294-3300
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Arizona
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Phoenix, Arizona, United States, 85054
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California
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Los Angeles, California, United States, 90033
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Los Angeles, California, United States, 90095-7077
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San Francisco, California, United States, 94115
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District of Columbia
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Washington, District of Columbia, United States, 20007
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Florida
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Miami, Florida, United States, 33136
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Georgia
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Atlanta, Georgia, United States, 30322
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Indiana
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Indianapolis, Indiana, United States, 46202
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Kentucky
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Louisville, Kentucky, United States, 40202
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Louisiana
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New Orleans, Louisiana, United States, 70112
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Maryland
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Baltimore, Maryland, United States, 21287
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Massachusetts
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Boston, Massachusetts, United States, 02215
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Boston, Massachusetts, United States, 02114
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Burlington, Massachusetts, United States, 01805
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Michigan
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Ann Arbor, Michigan, United States, 48109
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Minnesota
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Minneapolis, Minnesota, United States, 55455
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Minneapolis, Minnesota, United States, 55407
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New York
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New York, New York, United States, 10029
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Ohio
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Cleveland, Ohio, United States, 44195
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Cleveland, Ohio, United States, 44106
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Columbus, Ohio, United States, 43210
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Oregon
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Portland, Oregon, United States, 97213
- Providence Portland Medical Center
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Portland, Oregon, United States, 97239
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Pennsylvania
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Pittsburgh, Pennsylvania, United States, 15213
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Texas
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Houston, Texas, United States, 77030
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Virginia
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Richmond, Virginia, United States, 23249
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Washington
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Seattle, Washington, United States, 98101
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Seattle, Washington, United States, 98109
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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
Genders Eligible for Study
All
Description
Inclusion Criteria:
- Subjects who have undergone surgical resection or local ablation (PEI or percutaneous or intraoperative RFA) for treatment of HCC with curative intent within 4 months from staging to potentially curative treatment. A maximum of 2 local ablation courses may be administered during this time period.
- At least 3 weeks (21 days) but no more than 7 weeks (49 days), from resection or last local ablation course, to CT/MRI scan date
- Male or female subjects >/= 18 years of age
- Confirmation of CR (absence of residual tumor after curative treatment), on the eligibility scan by independent radiological review.
- For subjects undergoing surgical resection pathology proven complete removal of tumor.
- Intermediate or High Risk of recurrence as assessed by tumor characteristics.
- Child-Pugh score 5 -7 points. A Child-Pugh score of 7 points is allowed only in the absence of ascites.
- ECOG Performance Status of 0.
- Adequate bone marrow, liver and renal function
Exclusion Criteria:
- Recurrent HCC
- Child-Pugh score 7 points with presence of ascites.
- Low risk of recurrence after curative treatment
- History of cardiovascular disease
- History of HIV infection
- Active clinically serious infections (> grade 2 NCI-CTCAE version 3.0)
- Subjects with seizure disorder requiring medication (such as steroids or anti-epileptics)
- Subjects with evidence or history of bleeding diathesis
- Subjects undergoing renal dialysis
- Previous or concurrent cancer that is distinct in primary site or histology from the cancer being evaluated in this study EXCEPT cervical carcinoma in situ, treated basal cell carcinoma, superficial bladder tumors [Ta, Tis & T1] or any cancer curatively treated > 3 years prior to study entry as defined by the signing of informed consent..
- Uncontrolled ascites (defined as not easily controlled with diuretic treatment)
- Encephalopathy
- History of GI bleeding within 30 days of randomization.
- Subjects with a history of esophageal varices bleeding which has not been followed by effective therapy and/or treatment to prevent bleeding recurrence.
- Prior anti cancer therapy for treatment of HCC (including sorafenib or any other molecular therapy) is excluded.
- Major surgery within 4 weeks of start of study as defined by the signing of informed consent, except for surgical resection or local ablation of HCC.
- Investigational drug therapy outside of this trial during or within 4 weeks of study entry, as defined by the signing of informed consent.
- Liver transplantation, this includes patients on a transplant list with the intention to transplant
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: Quadruple
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
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Experimental: Sorafenib (Nexavar, BAY43-9006)
Participants received 2 tablets of Sorafenib (2×200 mg) orally twice daily (BID)
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Sorafenib 400 mg twice daily (BID)
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Placebo Comparator: Placebo
Participants received 2 tablets of placebo orally twice daily (BID)
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Placebo 2 tablets twice daily (BID)
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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Recurrence Free Survival (RFS) by Independent Assessment
Time Frame: From randomization up to 4 years or until disease recurrence whichever came first
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Disease recurrence of HCC (intra or extra hepatic) was defined as the appearance of a new intrahepatic lesions fulfilling the American Association for the Study of Liver Diseases (AASLD) criteria of diagnosis of HCC or a new extra-hepatic lesions according to the Response Evaluation Criteria in Solid Tumors (RECIST) criteria version 1.0.
In addition to investigator assessment, all images were reviewed by an independent panel of radiologists.
The calculation of the RFS was based on the independent evaluation of the scans.
RFS was defined as the time from randomization to the first documented disease recurrence by independent radiological assessment or death due to any cause whichever occurred first.
For subjects who had not recurred or died at the time of analysis, RFS was censored at their last date of evaluable scan before drop-out for any other reason than recurrence or death.
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From randomization up to 4 years or until disease recurrence whichever came first
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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Time to Recurrence (TTR) by Independent Assessment
Time Frame: From randomization up to 4 years or until disease recurrence whichever came first
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TTR was defined as the time from randomization to the first documented disease recurrence by independent radiological assessment.
For subjects who had not recurred at the time of analysis, TTR was censored at their last date of evaluable scan before withdrawal for any other reason than recurrence.
"NA" in the reported data indicates values could not be estimated due to censored data.
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From randomization up to 4 years or until disease recurrence whichever came first
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Overall Survival (OS)
Time Frame: From randomization of the first subject until 4 years later.
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OS was defined as the time from randomization to date of death due to any cause.
OS for subjects alive at the time of analysis was censored at their last date of contact.
"NA" in the reported data indicates values could not be estimated due to censored data.
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From randomization of the first subject until 4 years later.
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Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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Patient Reported Outcomes: Euroqol-5 Dimensions (EQ-5D) - Index Score
Time Frame: Cycle (C) Day (D)1, C2D1, C3D1 and subsequent cycles up to C18, end of intervention visit
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The EQ-5D is a generic quality of life preference based on a validated instrument used in cancer and in general population, with 2 parts: Index and Visual Analogue Scale.
The EQ-5D Index is a descriptive system of the following health dimensions: mobility, selfcare, usual activities, pain/discomfort, and anxiety/depression.
Subjects were asked to choose any one of the 3 response levels for each dimension: no problems, some problems, and severe problems.
The 5 health dimensions were summarized into a single score, the EQ-5D Index score which ranged from -0.59 to 1 with higher scores representing better health states (0=death, 1= perfect health, and -0.59=a health state worse than death).
A change of at least 0.10 to 0.12 points was considered a minimally important difference using Eastern Cooperative Oncology Group Performance Status as the anchor.
The results on the Analysis of covariance of timeadjusted Area under curve for the EQ-5D index score were reported.
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Cycle (C) Day (D)1, C2D1, C3D1 and subsequent cycles up to C18, end of intervention visit
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Patient Reported Outcomes: Euroqol-5 Dimensions (EQ-5D) - Visual Analogue Scale (VAS) Score
Time Frame: Cycle (C) Day (D)1, C2D1, C3D1 and subsequent cycles up to C18, end of intervention visit
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The EQ-5D is a generic quality of life preference based on a validated instrument used in cancer and in general population, with 2 parts: Index and Visual Analogue Scale.
The EQ-5D VAS is a measure that represents health status as a single value.
It is a 20-centimetre vertical graduated visual analogue scale with scores that ranged from 0 (worst imaginable health state) to 100 (best imaginable health state).
The respondent rated his/her current health state by drawing a line from the box marked 'your own health state today' to the appropriate point on the EQ-5D VAS.
A 3-digit number (including leading zeros) was read off the scale from the point where the respondent's line crossed the scale, which was the EQ-5D VAS score.
A change of at least 7 points on the VAS was considered as minimally important.
The results on the ANCOVA analysis of time-adjusted AUC for the EQ-5D VAS score were reported.
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Cycle (C) Day (D)1, C2D1, C3D1 and subsequent cycles up to C18, end of intervention visit
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Patient Reported Outcomes: Functional Assessment of Cancer Therapy (FACT)- Hepatobiliary Subscale (HEP) Score
Time Frame: Cycle (C) Day (D)1, C2D1, C3D1 and subsequent cycles up to C18, end of intervention visit
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The FACT-HEP is a 45 item, self-administered, multi-dimensional, psychometrically sound questionnaire used extensively in oncology clinical trials.
FACT-HEP consisted of five subscales: Physical Well-Being (PWB), Social Well-Being (SWB), Emotional Well-Being (EWB), Functional Well-Being (FWB), and Hepatobiliary Cancer Subscale (HCS).
The PWB, FWB, SWB and EWB were summed to form the FACTGeneral (FACT-G) total score.
The FACT-G and HCS scores were summed to form the FACT-HEP total score.
FACT-HEP scores ranged from 0 to 180 and the higher scores represented a better quality of life.
Subjects responded to each item on a 5-point Likert-type scale ranging from 0 (not at all) to 4 (very much).
The minimally important difference (MID) for the FACT-Hep total score was in the range of 8 to 9. The results on the ANCOVA analysis of time-adjusted AUC for the FACT-HEP score were reported.
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Cycle (C) Day (D)1, C2D1, C3D1 and subsequent cycles up to C18, end of intervention visit
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Patient Reported Outcomes: Functional Assessment of Cancer Therapy (FACT)- General (G) Total Score
Time Frame: Cycle (C) Day (D)1, C2D1, C3D1 and subsequent cycles up to C18, end of intervention visit
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The PWB, FWB, SWB and EWB were summed to form the FACT-G total score.
Subjects responded to each item on a 5-point Likert-type scale ranging from 0 (not at all) to 4 (very much).
FACT-G scores ranged from 0 to 108 and the higher scores represented a better quality of life.
The MID for the FACT-G total score was in the range of 6 to 7. The results on the ANCOVA analysis of time-adjusted AUC for the FACT-G score were reported.
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Cycle (C) Day (D)1, C2D1, C3D1 and subsequent cycles up to C18, end of intervention visit
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The Correlation Between Plasma Biomarker Levels at Baseline With RFS to Determine Prognostic Value of Biomarkers - ANG-2
Time Frame: At Baseline
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Biomarker was analyzed at baseline [i.e., before treatment] as a dichotomized variable based on median biomarker levels, and dichotomized into "high" and "low" groups using an optimal max chi cut-off approach - not per intervention.
As such, results were analyzed according to this stratification.
Max-chi square methodology was used to search for the optimal cut point for dichotomization of each plasma biomarker and Kaplan-Meier curves were generated using the optimal cut point for each possible association examined.
These biomarker analyses were retrospective and exploratory and of signal generating nature only.
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At Baseline
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The Correlation Between Plasma Biomarker Levels at Baseline With RFS to Determine Prognostic Value of Biomarkers - AFP
Time Frame: At Baseline
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Biomarker was analyzed at baseline [i.e., before treatment] as a dichotomized variable based on median biomarker levels, and dichotomized into "high" and "low" groups using an optimal max chi cut-off approach - not per intervention.
As such, results were analyzed according to this stratification.
Max-chi square methodology was used to search for the optimal cut point for dichotomization of each plasma biomarker and Kaplan-Meier curves were generated using the optimal cut point for each possible association examined.
These biomarker analyses were retrospective and exploratory and of signal generating nature only.
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At Baseline
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The Correlation Between Plasma Biomarker Levels at Baseline With RFS to Determine Prognostic Value of Biomarkers - MET
Time Frame: At Baseline
|
Biomarker was analyzed at baseline [i.e., before treatment] as a dichotomized variable based on median biomarker levels, and dichotomized into "high" and "low" groups using an optimal max chi cut-off approach - not per intervention.
As such, results were analyzed according to this stratification.
Max-chi square methodology was used to search for the optimal cut point for dichotomization of each plasma biomarker and Kaplan-Meier curves were generated using the optimal cut point for each possible association examined.
These biomarker analyses were retrospective and exploratory and of signal generating nature only.
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At Baseline
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Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
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.
General Publications
- Bruix J, Takayama T, Mazzaferro V, Chau GY, Yang J, Kudo M, Cai J, Poon RT, Han KH, Tak WY, Lee HC, Song T, Roayaie S, Bolondi L, Lee KS, Makuuchi M, Souza F, Berre MA, Meinhardt G, Llovet JM; STORM investigators. Adjuvant sorafenib for hepatocellular carcinoma after resection or ablation (STORM): a phase 3, randomised, double-blind, placebo-controlled trial. Lancet Oncol. 2015 Oct;16(13):1344-54. doi: 10.1016/S1470-2045(15)00198-9. Epub 2015 Sep 8.
- Pinyol R, Montal R, Bassaganyas L, Sia D, Takayama T, Chau GY, Mazzaferro V, Roayaie S, Lee HC, Kokudo N, Zhang Z, Torrecilla S, Moeini A, Rodriguez-Carunchio L, Gane E, Verslype C, Croitoru AE, Cillo U, de la Mata M, Lupo L, Strasser S, Park JW, Camps J, Sole M, Thung SN, Villanueva A, Pena C, Meinhardt G, Bruix J, Llovet JM. Molecular predictors of prevention of recurrence in HCC with sorafenib as adjuvant treatment and prognostic factors in the phase 3 STORM trial. Gut. 2019 Jun;68(6):1065-1075. doi: 10.1136/gutjnl-2018-316408. Epub 2018 Aug 14.
- Bouattour M, Soubrane O, de Gramont A, Faivre S. Adjuvant therapies in advanced hepatocellular carcinoma: moving forward from the STORM. Trials. 2016 Nov 25;17(1):563. doi: 10.1186/s13063-016-1675-8.
- Kudo M. Adjuvant therapy after curative treatment for hepatocellular carcinoma. Oncology. 2011;81 Suppl 1:50-5. doi: 10.1159/000333259. Epub 2011 Dec 22.
- Printz C. Clinical trials of note. Sorafenib as adjuvant treatment in the prevention of disease recurrence in patients with hepatocellular carcinoma (HCC) (STORM). Cancer. 2009 Oct 15;115(20):4646. doi: 10.1002/cncr.24673. No abstract available.
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)
August 15, 2008
Primary Completion (Actual)
November 29, 2013
Study Completion (Actual)
November 28, 2014
Study Registration Dates
First Submitted
June 5, 2008
First Submitted That Met QC Criteria
June 5, 2008
First Posted (Estimate)
June 6, 2008
Study Record Updates
Last Update Posted (Actual)
August 8, 2018
Last Update Submitted That Met QC Criteria
July 11, 2018
Last Verified
July 1, 2018
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Digestive System Diseases
- Neoplasms by Histologic Type
- Neoplasms
- Neoplasms by Site
- Adenocarcinoma
- Neoplasms, Glandular and Epithelial
- Digestive System Neoplasms
- Liver Diseases
- Liver Neoplasms
- Carcinoma
- Carcinoma, Hepatocellular
- Molecular Mechanisms of Pharmacological Action
- Enzyme Inhibitors
- Antineoplastic Agents
- Protein Kinase Inhibitors
- Sorafenib
Other Study ID Numbers
- 12414
- 2008-001087-36 (EudraCT Number)
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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