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1 Future developments

2 AASLD-JNCI guidelines in HCC
Trial design Llovet JM, et al. J Natl Cancer Inst. 2008;100: 5 5 2 7

3 HCC trial design strategy recommended by AASLD expert panel
Early clinical research phase Advanced clinical research phase Phase 1/2 study Randomized phase 2 Combined phase 2–3 Phase 3 study Combined phase 1/2 studies in cirrhotic patients will capture liver-specific toxic effects of new drugs Randomized phase 2 trials are pivotal in HCC research because they enable reliable comparison with standard of care Phase 3 studies remain the main source of evidence in HCC research Phase 2/3 studies may be appropriate in very specific circumstances, where the drug proposed would require fast-track assessment Llovet JM, et al. J Natl Cancer Inst. 2008;100: 3 3 3

4 Endpoints in clinical trials recommended by AASLD expert panel
Recommended primary and secondary endpoints Survival Time from randomization to death. Patients alive at the end of follow-up are censored Primary endpoint in phase 3 studies assessing primary treatments Primary/secondary endpoint in phase 2/3 studies assessing adjuvant or neoadjuvant treatments Secondary endpoint in phase 2 studies assessing primary treatments Time to recurrence (TTR)* Time from randomization to recurrence. Evidence of recurrence should follow the RECIST amendments. Once evidence of HCC recurrence is confirmed, TTR will be defined as the time that recurrence was first suspected Time to progression* Time from randomization to radiological progression. Definition of progression is based on the RECIST amendments. Deaths during follow-up without evidence of radiological progression are censored Primary endpoint in phase 2 studies assessing primary treatments Secondary endpoint in phase 3 studies assessing primary treatments Time to local recurrence* Time from randomization to local radiological progression. Definition of progression is based on the RECIST amendments. Deaths during follow-up without evidence of radiological progression are censored Secondary endpoint in studies assessing locoregional therapies *Time to progression and time to local recurrence can vary considerably if evaluation interval varies among studies or between study arms of an individual study. RECIST = Response Evaluation Criteria in Solid Tumors. Llovet JM, et al. J Natl Cancer Inst. 2008;100:

5 Endpoints in clinical trials recommended by AASLD expert panel
Recommended primary and secondary endpoints Tertiary endpoints† Cancer-specific death Time from randomization to HCC-related death. Patients alive at the end of follow-up are censored Competing risk analysis is recommended to assess this endpoint Time to symptomatic progression Time from randomization to deterioration of symptoms as assessed by a standardized questionnaire No reliable questionnaires have been thoroughly validated in HCC research Disease-free survival Composite endpoint. Time from randomization to either recurrence or death. Patients alive and free of recurrence at the end of follow-up are censored Vulnerable endpoint in HCC research Progression-free survival Composite endpoint. Time from randomization to either radiological progression or death. Patients alive and free of progression at the end of follow-up are censored Response rate Definition of response is based on the RECIST amendments † Tertiary endpoints include composite endpoints that are vulnerable in HCC research, such as disease-free and progression-free survival, that are difficult to measure with standard tools, such as time to symptomatic progression, or that are not time-to-event endpoints, such as response rate or disease control rate. RECIST = Response Evaluation Criteria in Solid Tumors. Llovet JM, et al. J Natl Cancer Inst. 2008;100:

6 Other recommendations of AASLD expert panel on HCC trial design
Target population selection of the target population should be based on the Barcelona Clinic Liver Cancer staging system new drugs should be tested in patients with well preserved liver function (Child–Pugh A class) Control arm in clinical trials patients assigned to the control arm should receive standard-of-care therapy, namely TACE for patients with intermediate-stage disease and sorafenib for patients with advanced-stage disease Llovet JM, et al. J Natl Cancer Inst. 2008;100: 6 6 6

7 Conventional and proposed trial design in HCC trials
Trial phase and component Conventional design New proposed design Phase 1 Study population All cancers HCC by Barcelona Clinic Liver Cancer (BCLC) Child–Pugh A Study design Phase 1/2 Aim Dose defining Safety Endpoint Toxic effects Maximum tolerated dose, pharmacokinetics Maximum tolerated dose and/or optimal biological dose Phase 2 Unresectable HCC Child–Pugh A and B HCC by BCLC Child–Pugh A Single arm Randomized phase 2 Single arm* Antitumor activity, safety Response rate Toxicity Time to progression Survival, toxicity *Large single-arm phase 2 studies might only be considered when a contemporary historical control arm has been well characterized within other trials, and thus, inclusion criteria can be reproduced. Llovet JM, et al. J Natl Cancer Inst. 2008;100:

8 Conventional and proposed trial design in HCC trials
Trial phase and component Conventional design New proposed design Phase 3* Study population Unresectable HCC Child–Pugh A and B HCC by BCLC Child–Pugh A Study design** Randomized controlled trial Combined phase 2/3 Aim Clinical outcome Endpoint Survival Response Progression-free survival, disease-free survival Time to progression (TTP) Recurrence*** *Large single-arm phase 2 studies might only be considered when a contemporary historical control arm has been well characterized within other trials, and thus, inclusion criteria can be reproduced. ** Consider phase 2/3 studies for fast-track approval with strong interim analysis. *** Time to recurrence as primary endpoint in adjuvant trials. Llovet JM, et al. J Natl Cancer Inst. 2008;100:

9 Selected targeted therapies under evaluation in advanced HCC: first-line therapy
Target population Aim Comparison Phase Status Location Advanced HCC1 Improve sorafenib first line Sorafenib +/– erlotinib Phase 3 Recruiting Global Advanced HCC2 Compare with sorafenib first line Sorafenib vs linifanib Advanced HCC3 Sorafenib vs brivanib Regional/US Advanced HCC4 sorafenib first line Sorafenib vs erlot + beva* Phase 2 Advanced HCC5 Sorafenib +/– everolimus Phase 1/2 Active Advanced HCC6 Sorafenib vs sunitinib Terminated Advanced HCC7,8 Sorafenib vs BIBF Regional/Asia Advanced HCC9 Sorafenib vs Dovitinb Asia Available from: Last accessed March SEARCH trial: NCT NCT BRISK FL trial: NCT NCT NCT NCT NCT NCT NCT *Erlotinib + Bevacizumab 9 9

10 Selected targeted therapies under evaluation in advanced HCC: Second-line therapy
Target population Aim Comparison Phase Status Location Advanced HCC1 Second line after sorafenib Brivanib vs placebo Phase 3 Recruiting Global Advanced HCC2 Ramucirumab vs placebo Advanced HCC3 Second line therapy ADI-PEG 20 vs placebo Not yet open US Advanced HCC4 Everolimus vs placebo Advanced HCC5 ARQ 197 vs placebo Phase 2 Europ/US Advanced HCC6 OSI-906 vs placenbo Advanced HCC7 TAC-101 vs placenbo Phase 1/2 Terminated Italy Available from: Last accessed March BRISK PS trial: NCT and BRISK-APS trial: NCT REACH trial: NCT 3. NCT EVOLVE-1 trial: NCT NCT NCT NCT 10 10

11 Molecular therapies tested in HCC
Regimen Phase Sample size Response rate (%) Progression-free survival/time to progression (months) Median survival (months) Reference Sorafenib 3 300 2.3 5.5 (T) 10.7 (vs 7.9 placebo Llovet et al. 271 2.8 (T) 6.5 (vs 4.2 placebo) Cheng et al. Sorafenib + doxorubicin 2b 47 4 8.6 (T) 13.7 (vs 6.5 placebo) Abou-Alfa et al. Sunitinib 2 37 2.7 5.2 (P) 11.2 Faivre et al. 34 2.9 3.9 (P) 9.8 Zhu et al. Erlotinib 38 9 3.2 (P) 13 Philip et al. 40 3.1 (P) 6.3 10.75 Thomas et al. Gefitinib 31 2.8 (P) 6.5 O’Dwyer et al. Cetuximab 30 1.4 (P) 9.6 32 1.87 (T) Gruenwald et al. Adapted from Finn RS. Clin Cancer Res. 2010;16:390-7. 11

12 Molecular therapies tested in HCC
Regimen Phase Sample size Response rate (%) Progression-free survival/time to progression (months) Median survival (months) Reference Bevacizumab 2 46 13 6.9 (P) 12.4 Siegel et al. Bevacizumab + erlotinib 40 25 9 (P) 15.65 Thomas et al. Bevacizumab + gem+oxa* 30 5.3 (P) 9.6 Zhu et al. Brivanib First-line 55 2.8 (T) 10 Raoul et al. Sec-line 2.7 (T) 9.8 Finn et al. Linifanib 44 6,8 3,7 (T) 9,7 Toh et al. Lapatinib 5 2,3 (P) 6,2 Ramanathan et al 26 1.9 (P) 12.6 Bekaii-Saab et al. *gem=gemcitabine; Oxa=oxaliplatin Adapted from Finn RS. Clin Cancer Res. 2010;16: Toh et al JCO 2009;27: 222s:abstr 4581; Ramanathan et al. Cancer Chem. Pharm. 2009;64:777-83 12

13 Sorafenib 400 mg b.i.d. + placebo
Sorafenib as adjuvant Treatment in the prevention Of Recurrence of hepatocellular carcinoMa (STORM) Phase III, randomized, double-blind, placebo-controlled study of sorafenib +/- erlotinib in advanced metastatic patients International (Europe, Americas, Asia-Pacific) Advanced/ metastatic Disease Eligibility criteria Child-Pugh A PS 0 or 1 Endpoint Primary OS Secondary TTP DCR PRO Safety Randomization n=700 Stratification ECOG PS Geographic region MVI/EHS Sorafenib 400 mg bid + erlotinib 150 mg daily Sorafenib 400 mg b.i.d. + placebo NCT DCR = disease control rate; PRO = patient-reported outcome. Reference 1. US National Institutes of Health; available at accessed November 2008. 2. Del Pozo AC, Lopez P. Clin Liver Dis 2007;11:305–321. 13

14 Sorafenib as adjuvant Treatment in the prevention Of Recurrence of hepatocellular carcinoMa (STORM)
Phase III, randomized, double-blind, placebo-controlled study of sorafenib as adjuvant treatment of HCC after surgical resection of local ablation International (Europe, Americas, Asia-Pacific, Japan) Prior treatment Resection RFA PEI Eligibility criteria Child-Pugh score 5–7 Intermediate/high risk of recurrence Randomization n=1,100 Stratification Prior curative treatment Geographical region Sorafenib 400 mg bid Endpoints RFS OS Biomarkers Other Placebo RFA = radiofrequency ablation; PEI = percutaneous ethanol injection; RFS: recurrence-free survival. NCT Reference 1. US National Institutes of Health; available at accessed November 2008. 2. Del Pozo AC, Lopez P. Clin Liver Dis 2007;11:305–321. 14

15 Sorafenib or Placebo in combination with TACE in hepatocellular carcinoma (SPACE)
Phase II, randomized, double-blind, placebo-controlled study of TACE plus sorafenib vs TACE plus placebo Eligibility criteria BCLC B ECOG PS 0 Child-Pugh Class A without ascite No extrahepatic spread No macrovascular invasion Endpoints Primary TTP Secondary OS Time to untreatable progress Time To Vascular Invasion Time To Extrahepatic Spread R A N D O M I Z E DC-Beads-TACE + Sorafenib 400 mg bid n=300 DC-Beads-TACE + Placebo 1:1 TACE = transarterial chemoembolization; TTP = time to progression; OS = overall survival. Reference 1. US National Institutes of Health; available at accessed November 2008. 15

16 RTK: PDGFR FGFR VEGFR EGFR IGFIR c-MET Transcription/Translation
Signaling Pathways Provide Rationale for Combination Treatment Strategies RTK: PDGFR FGFR VEGFR EGFR IGFIR c-MET Receptor Wnt Receptor Cell Membrane X X HBx GEF PTEN GrB2 SHC Site of action DSH PI3K Ras PLC X Erlotinib Gefitinib Lapatinib Everolimus Sorafenib Sunitinib GBP X Akt Raf PKC X X mTOR MEK GSK3 BAD X X ERK -Catenin NF-κB X BcL-XL NF-κB c-MYC c-JUN -Catenin X p53 Survival Transcription/Translation X Anzola M. J Virol Hepat. 2004; 11: ; Avila MA, et al. Oncogene 2006; 25: ; Clauss M. Semin Thromb Hemost 2000; 26: Avila MA, Berasain C, Sangro B, Prieto J. New therapies for hepatocellular carcinoma. Oncogene. 2006;25: Clauss M. Molecular biology of the VEGF and the VEGF receptor family. Semin Thromb Hemost. 2000;26: 16

17 Molecular targets and targeted agents in HCC
Bevacizumab VEGF Ang1/2 HGF EGF AMG 386 PDGF FGF Ramucirumab MEDI-575 Cetuximab Sorafenib* Sunitinib Vatalanib Cediranib Pazopanib Linifanib E70807 Gefitinib Molecular targets in the (a) epidermal growth factor (EGF) and EGF receptor (EGFR) family, (b) vascular endothelial growth factor (VEGF) and VEGF receptor (VEGFR) family, and (c) insulin-like growth factor (IGF) and IGF receptor (IGFR). Targeted agents are indicated by arrows. ARQ 197 Erlotinib Brivanib Tie2 PDGFR VEGFR FGFR C-Met EGFR Forentinib XL 184 Regorafenib BIBF 1120 SU6688 Sorafenib* is the only drug approved for HCC Adapted from Tanaka S, Arii S. Cancer Sci. 2009;100:1-8 Adapted from Tanaka S, Arii S. J Gastroenterol 2011; in press *published online 25 Feb 2011 17

18 Molecular targets and targeted agents in HCC
GF RASSF1A Ras SOS PTEN Grb2 PI3K PDK1 RTK Akt IKK Sorafenib* Raf Regorafenib Sirolimus Everolimus AZD8055 mTOR AZD6244 MEK eIF4E 4E-BP1 p70S6K ERK Sorafenib* is the only drug approved for HCC Adapted from Tanaka S, Arii S. J Gastroenterol 2011; in press *published online 25 Feb 2011.

19 Molecular targets and targeted agents in HCC
Classification Target Sorafenib (Nexavar, BAY ; Bayer) Small-molecule VEGFR2, VEGFR3, PDGFR-b, Flt-3, c-KIT tyrosine kinase, Raf serine-threonine kinase Regorafenib ( BAY ; Bayer) VEGFR2, VEGFR3, PDGFR-b, Flt-3, c-KIT, Tie2 tyrosine kinase, Raf serine-threonine kinase Sunitinib (Sutent, SU11248; Pfizer) VEGFR1 VEGFR2, PDGFRs, Flt-3, c-KIT tyrosine kinase Brivanib (BMS ; Bristol-Myers Squibb) VEGFR2, VEGFR3, FGFR tyrosine kinase BIBF 1120 (Vargatef; Boehringer Ingelheim) VEGFR2, PDGFR-b, FGFR tyrosine kinase SU6688 (TSU-68; Taiho) Vatalanib (PTK787/ZK222584; Novartis) VEGFR1, VEGFR2, VEGFR3,PDGFR-b, c-KIT tyrosine kinase Cediranib (AZD2171; AstraZeneca) VEGFR1, VEGFR2, VEGFR3, PDGFRs, c-KIT tyrosine kinase Pazopanib (Votrient, GW786034; GlaxoSmithKline) VEGFR-1, VEGFR-2, VEGFR-3, PDGFRs, c-KIT tyrosine kinase Linifanib (ABT-869; Abbott) VEGFR-2, PDGFR-b, CSF-1R tyrosine kinase E7080 (Eisai) VEGFR3, VEGFR2, VEGFR1 tyrosine kinase Foretinib (XL880, GSK ; GlaxoSmithKline) VEGFR-2, c-MET tyrosine kinase XL184 (BMS907351; Bristol-Myers Squibb) ARQ 197 (Daiichi Sankyo) c-MET tyrosine kinase Bevacizumab (Avastin; Roche/Genentech) Monoclonal antibody VEGF-A (neutralization) Ramucirumab (IMC-1121B; Eli Lilly) Monoclonal antibody VEGFR-2 (neutralization) MEDI-575 (AstraZeneca) PDGFR-a (neutralization) AMG 386 (Amgen) Antibody-type peptide Angiopoietin-1, angiopoietin-2 (neutralization) Adapted from Tanaka S, Arii S. J Gastroenterol 2011; in press *published online 25 Feb 2011.

20 Subway map HCC pathways
Dufour JF et al. J Hepatol. 2007; 47(6): 860-7

21 HCC transcriptome classification
BIOLOGICAL PATHWAYS GROUPS TREATMENTS Developmental and imprinting genes,IGF2 Cell Cycle Nucleus pore Stress and immune response Amino acid metabolism E-cadherin Dufour J-F and Jonson P. J Hepatology J Hepatol. [Epub ahead of print] 21

22 Molecular classification of HCC HCC genomic-based classification
Molecular pathways IFN E2F p53 TGF-ß Wnt MYC AKT Retained hepatocyte-like phenotype Published subclasse EpCAM (+) Proliferation Clinical phenotype Poor Survival late TGF-ß Good Survival CTNNB1 Large tumor Moderately/poorly differentiated Smaller tumor Well differentiated AFT In a meta-analysis of 603 HCC patients 3 HCC subtypes were observed, S1–S3 distinguished by molecular phenotype correlated with tumor size, cellular differentiation, and serum α-fetoprotein levels IFN = interferon; EpCAM = epithelial cell adhesion molecule. Hoshida Y, et al. Cancer Res. 2009;69:

23 Outcome prediction in HCC
Model of HCC prognosis combining clinical and genomic data In patients with early stage tumors, survival is mostly determined by genomic data coded in non-tumoral cirrhotic tissue (‘field effect’), because it determines the risk of liver dysfunction and development of a de novo HCC As cancer progresses, genomic data from the tumor increases its prediction capacity because cancer-related death limits survival in patients with advanced disease Very early (Stage 0) Single nodule < 2 cm, no vascular invasion, PST 0 Early (Stage A) Single nodule, 3 nodules < 3 cm, no macrovascular invasion, Intermediate (Stage B) Advanced (Stage C) Macrovascular invasion, extrahepatic spread (N1, M1), PST 1–2 Multiple nodules, (BCLC algorithm) Clinical stage © 2010 American Association for Cancer Research` De novo tumor Liver dysfunction Intrahepatic dissemination Tumor biology Others Adjacent tissue Relative prognostic impact of molecular data from tumor and adjacent tissue Villanueva A, et al. Clin Cancer Res. 2010;16:

24 Translational research in HCC


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