Cited by 326Hepatocellular Carcinoma Treatment and PrognosisColorectal Cancer Treatments and StudiesRenal cell carcinoma treatment

Molecular predictors of prevention of recurrence in HCC with sorafenib as adjuvant treatment and prognostic factors in the phase 3 STORM trial

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Pinyol, Roser, Montal, Robert, Bassaganyas, Laia, Sia, Daniela, Takayama, Tadatoshi, Chau, Gar-Yang, Mazzaferro, Vincenzo, Roayaie, Sasan +22 more·2019·Gut

Abstract

Objective: Sorafenib is the standard systemic therapy for advanced hepatocellular carcinoma (HCC). Survival benefits of resection/local ablation for early HCC are compromised by 70% 5-year recurrence rates. The phase 3 STORM trial comparing sorafenib with placebo as adjuvant treatment did not achieve its primary endpoint of improving recurrence-free survival (RFS). The biomarker companion study BIOSTORM aims to define (A) predictors of recurrence prevention with sorafenib and (B) prognostic factors with B level of evidence. Design: Tumour tissue from 188 patients randomised to receive sorafenib (83) or placebo (105) in the STORM trial was collected. Analyses included gene expression profiling, targeted exome sequencing (19 known oncodrivers), immunohistochemistry (pERK, pVEGFR2, Ki67), fluorescence in situ hybridisation (VEGFA) and immunome. A gene signature capturing improved RFS in sorafenib-treated patients was generated. All 70 RFS events were recurrences, thus time to recurrence equalled RFS. Predictive and prognostic value was assessed using Cox regression models and interaction test. Results: BIOSTORM recapitulates clinicopathological characteristics of STORM. None of the biomarkers tested (related to angiogenesis and proliferation) or previously proposed gene signatures, or mutations predicted sorafenib benefit or recurrence. A newly generated 146-gene signature identifying 30% of patients captured benefit to sorafenib in terms of RFS (p of interaction=0.04). These sorafenib RFS responders were significantly enriched in CD4 + T, B and cytolytic natural killer cells, and lacked activated adaptive immune components. Hepatocytic pERK (HR=2.41; p=0.012) and microvascular invasion (HR=2.09; p=0.017) were independent prognostic factors. Conclusion: In BIOSTORM, only hepatocytic pERK and microvascular invasion predicted poor RFS. No mutation, gene amplification or previously proposed gene signatures predicted sorafenib benefit. A newly generated multigene signature associated with improved RFS on sorafenib warrants further validation. Trial registration number: NCT00692770 .

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  • MP genes were enriched for sorafenib resistance-genes.

    “Moreover, MP genes were enriched for sorafenib resistance-genes31”

    From Alternative promoters in CpG depleted regions are prevalently associated with epigenetic misregulation of liver cancer transcriptomes (2023) · cites this paper as [31]

    The Results section (‘Molecular factors predicting benefit to sorafenib’; page unavailable) reports that tumours in the proliferation subclass were significantly enriched for a gene signature associated with sorafenib resistance (p=0.002). It does not identify ‘MP genes’ or report enrichment of resistance genes within that gene set, so the specific claim about MP genes is not established. (LLM, conf=0.82)

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Research works printed but not linked: 48

  1. [1]Llovet JM, Zucman-Rossi J, Pikarsky E, et al Hepatocellular carcinoma. Nat Rev Dis Primers 2016; 2: 16018 10.1038/nrdp.2016.18 27158749 · DOI · Paper page
  2. [2]European Association for the study of the liver. EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma. European Association for the Study of the Liver. J Hepatol 2018; 69: 182– 236. 29628281
  3. [4]Kudo M A randomised phase 3 trial of lenvatinib versus sorafenib in firstline treatment of patients with unresectable hepatocellular carcinoma. Lancet 2018; 391: 1163– 73. 29433850
  4. [5]Bruix J, Qin S, Merle P, et al Regorafenib for patients with hepatocellular carcinoma who progressed on sorafenib treatment (RESORCE): a randomised, double-blind, placebo-controlled, phase 3 trial. Lancet 2017; 389: 56– 66. 10.1016/S0140-6736(16)32453-9 27932229 · DOI
  5. [6]Abou-Alfa GK, Meyer T, Cheng AL, et al Cabozantinib in patients with advanced and progressing hepatocellular carcinoma. N Engl J Med 2018; 379: 54– 63. 10.1056/NEJMoa1717002 29972759 PMC7523244 · DOI
  6. [7]El-Khoueiry AB, Sangro B, Yau T, et al Nivolumab in patients with advanced hepatocellular carcinoma (CheckMate 040): an open-label, non-comparative, phase 1/2 dose escalation and expansion trial. Lancet 2017; 389: 2492– 502. 10.1016/S0140-6736(17)31046-2 28434648 PMC7539326 · DOI · Paper page
  7. [8]Zhu A, Kang YK, Yen CJ, et al A randomized, double-blind, placebo-controlled phase3 study of ramucirumab versus placebo as second-line treatment in patients with hepatocellular carcinoma (HCC) and elevated baseline alpha-fetoprotein (ARP) following first-line sorafenib. J Clin Oncol 2018; 36(suppl; abstr 4003). 10.1093/annonc/mdw371.102 · DOI
  8. [9]Wilhelm SM, Adnane L, Newell P, et al Preclinical overview of sorafenib, a multikinase inhibitor that targets both Raf and VEGF and PDGF receptor tyrosine kinase signaling. Mol Cancer Ther 2008; 7: 3129– 40. 10.1158/1535-7163.MCT-08-0013 18852116 PMC12261297 · DOI
  9. [10]Duffy AG, Greten TF Liver cancer: Regorafenib as second-line therapy in hepatocellular carcinoma. Nat Rev Gastroenterol Hepatol 2017; 14: 141– 2. 10.1038/nrgastro.2017.7 28174418 · DOI
  10. [11]Heimbach JK, Kulik LM, Finn RS, et al AASLD guidelines for the treatment of hepatocellular carcinoma. Hepatology 2018; 67: 358– 80. 10.1002/hep.29086 28130846 · DOI
  11. [12]Bruix J, Takayama T, Mazzaferro V, et al Adjuvant sorafenib for hepatocellular carcinoma after resection or ablation (STORM): a phase 3, randomised, double-blind, placebo-controlled trial. Lancet Oncol 2015; 16: 1344– 54. 10.1016/S1470-2045(15)00198-9 26361969 · DOI · Paper page
  12. [13]Jackson R, Psarelli EE, Berhane S, et al Impact of Viral Status on Survival in Patients Receiving Sorafenib for Advanced Hepatocellular Cancer: A Meta-Analysis of Randomized Phase III Trials. J Clin Oncol 2017; 35: 622– 8. 10.1200/JCO.2016.69.5197 28045619 · DOI
  13. [14]Bruix J, Cheng AL, Meinhardt G, et al Prognostic factors and predictors of sorafenib benefit in patients with hepatocellular carcinoma: Analysis of two phase III studies. J Hepatol 2017; 67: 999– 1008. 10.1016/j.jhep.2017.06.026 28687477 · DOI
  14. [15]Llovet JM, Peña CE, Lathia CD, et al Plasma biomarkers as predictors of outcome in patients with advanced hepatocellular carcinoma. Clin Cancer Res 2012; 18: 2290– 300. 10.1158/1078-0432.CCR-11-2175 22374331 PMC12268944 · DOI
  15. [16]Simon RM, Paik S, Hayes DF Use of archived specimens in evaluation of prognostic and predictive biomarkers. J Natl Cancer Inst 2009; 101: 1446– 52. 10.1093/jnci/djp335 19815849 PMC2782246 · DOI
  16. [17]Lavoie H, Therrien M Regulation of RAF protein kinases in ERK signalling. Nat Rev Mol Cell Biol 2015; 16: 281– 98. 10.1038/nrm3979 25907612 · DOI
  17. [18]Newell P, Toffanin S, Villanueva A, et al Ras pathway activation in hepatocellular carcinoma and anti-tumoral effect of combined sorafenib and rapamycin in vivo. J Hepatol 2009; 51: 725– 33. 10.1016/j.jhep.2009.03.028 19665249 PMC2970800 · DOI
  18. [19]Chiang DY, Villanueva A, Hoshida Y, et al Focal gains of VEGFA and molecular classification of hepatocellular carcinoma. Cancer Res 2008; 68: 6779– 88. 10.1158/0008-5472.CAN-08-0742 18701503 PMC2587454 · DOI · Paper page
  19. [20]Horwitz E, Stein I, Andreozzi M, et al Human and mouse VEGFA-amplified hepatocellular carcinomas are highly sensitive to sorafenib treatment. Cancer Discov 2014; 4: 730– 43. 10.1158/2159-8290.CD-13-0782 24687604 · DOI
  20. [21]Domingues I, Rino J, Demmers JA, et al VEGFR2 translocates to the nucleus to regulate its own transcription. PLoS One 2011; 6: e25668 10.1371/journal.pone.0025668 21980525 PMC3182252 · DOI
  21. [22]Hoshida Y, Nijman SM, Kobayashi M, et al Integrative transcriptome analysis reveals common molecular subclasses of human hepatocellular carcinoma. Cancer Res 2009; 69: 7385– 92. 10.1158/0008-5472.CAN-09-1089 19723656 PMC3549578 · DOI · Paper page
  22. [23]Kaposi-Novak P, Lee JS, Gòmez-Quiroz L, et al Met-regulated expression signature defines a subset of human hepatocellular carcinomas with poor prognosis and aggressive phenotype. J Clin Invest 2006; 116: 1582– 95. 10.1172/JCI27236 16710476 PMC1462944 · DOI
  23. [24]Coulouarn C, Factor VM, Thorgeirsson SS Transforming growth factor-beta gene expression signature in mouse hepatocytes predicts clinical outcome in human cancer. Hepatology 2008; 47: 2059– 67. 10.1002/hep.22283 18506891 PMC2762280 · DOI
  24. [25]Tovar V, Alsinet C, Villanueva A, et al IGF activation in a molecular subclass of hepatocellular carcinoma and pre-clinical efficacy of IGF-1R blockage. J Hepatol 2010; 52: 550– 9. 10.1016/j.jhep.2010.01.015 20206398 PMC3662876 · DOI
  25. [26]Villanueva A, Alsinet C, Yanger K, et al Notch signaling is activated in human hepatocellular carcinoma and induces tumor formation in mice. Gastroenterology 2012; 143: 1660– 9. 10.1053/j.gastro.2012.09.002 22974708 PMC3505826 · DOI
  26. [27]Villanueva A, Chiang DY, Newell P, et al Pivotal role of mTOR signaling in hepatocellular carcinoma. Gastroenterology 2008; 135: 1972– 83. 10.1053/j.gastro.2008.08.008 18929564 PMC2678688 · DOI
  27. [28]Woo HG, Park ES, Cheon JH, et al Gene expression-based recurrence prediction of hepatitis B virus-related human hepatocellular carcinoma. Clin Cancer Res 2008; 14: 2056– 64. 10.1158/1078-0432.CCR-07-1473 18381945 · DOI
  28. [29]Mínguez B, Hoshida Y, Villanueva A, et al Gene-expression signature of vascular invasion in hepatocellular carcinoma. J Hepatol 2011; 55: 1325– 31. 10.1016/j.jhep.2011.02.034 21703203 PMC3624094 · DOI
  29. [30]Tovar V, Cornella H, Moeini A, et al Tumour initiating cells and IGF/FGF signalling contribute to sorafenib resistance in hepatocellular carcinoma. Gut 2017; 66: 530– 40. 10.1136/gutjnl-2015-309501 26658144 PMC5600200 · DOI
  30. [31]Villanueva A, Hoshida Y, Battiston C, et al Combining clinical, pathology, and gene expression data to predict recurrence of hepatocellular carcinoma. Gastroenterology 2011; 140: 1501– 12. 10.1053/j.gastro.2011.02.006 21320499 PMC3081971 · DOI
  31. [32]Boyault S, Rickman DS, de Reyniès A, et al Transcriptome classification of HCC is related to gene alterations and to new therapeutic targets. Hepatology 2007; 45: 42– 52. 10.1002/hep.21467 17187432 · DOI · Paper page
  32. [33]Nakagawa S, Wei L, Song WM, et al Molecular Liver Cancer Prevention in Cirrhosis by Organ Transcriptome Analysis and Lysophosphatidic Acid Pathway Inhibition. Cancer Cell 2016; 30: 879– 90. 10.1016/j.ccell.2016.11.004 27960085 PMC5161110 · DOI
  33. [34]Hoshida Y, Villanueva A, Kobayashi M, et al Gene expression in fixed tissues and outcome in hepatocellular carcinoma. N Engl J Med 2008; 359: 1995– 2004. 10.1056/NEJMoa0804525 18923165 PMC2963075 · DOI · Paper page
  34. [35]Sprinzl MF, Reisinger F, Puschnik A, et al Sorafenib perpetuates cellular anticancer effector functions by modulating the crosstalk between macrophages and natural killer cells. Hepatology 2013; 57: 2358– 68. 10.1002/hep.26328 23424039 · DOI
  35. [36]Chen ML, Yan BS, Lu WC, et al Sorafenib relieves cell-intrinsic and cell-extrinsic inhibitions of effector T cells in tumor microenvironment to augment antitumor immunity. Int J Cancer 2014; 134: 319– 31. 10.1002/ijc.28362 23818246 · DOI
  36. [37]Deng YR, Liu WB, Lian ZX, et al Sorafenib inhibits macrophage-mediated epithelial-mesenchymal transition in hepatocellular carcinoma. Oncotarget 2016; 7: 38292– 305. 10.18632/oncotarget.9438 27203677 PMC5122390 · DOI
  37. [39]Charoentong P, Finotello F, Angelova M, et al Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade. Cell Rep 2017; 18: 248– 62. 10.1016/j.celrep.2016.12.019 28052254 · DOI · Paper page
  38. [40]Ayers M, Lunceford J, Nebozhyn M, et al IFN-γ–related mRNA profile predicts clinical response to PD-1 blockade. J Clin Invest 2017; 127: 2930– 40. 10.1172/JCI91190 28650338 PMC5531419 · DOI · Paper page
  39. [41]Quigley M, Pereyra F, Nilsson B, et al Transcriptional analysis of HIV-specific CD8+ T cells shows that PD-1 inhibits T cell function by upregulating BATF. Nat Med 2010; 16: 1147– 51. 10.1038/nm.2232 20890291 PMC3326577 · DOI
  40. [42]Radaeva S, Jaruga B, Hong F, et al Interferon-alpha activates multiple STAT signals and down-regulates c-Met in primary human hepatocytes. Gastroenterology 2002; 122: 1020– 34. 10.1053/gast.2002.32388 11910354 · DOI
  41. [43]Wilhelm SM, Carter C, Tang L, et al BAY 43-9006 exhibits broad spectrum oral antitumor activity and targets the RAF/MEK/ERK pathway and receptor tyrosine kinases involved in tumor progression and angiogenesis. Cancer Res 2004; 64: 7099– 109. 10.1158/0008-5472.CAN-04-1443 15466206 · DOI
  42. [45]Karapetis CS, Khambata-Ford S, Jonker DJ, et al K-ras mutations and benefit from cetuximab in advanced colorectal cancer. N Engl J Med 2008; 359: 1757– 65. 10.1056/NEJMoa0804385 18946061 · DOI · Paper page
  43. [47]Negri FV, Dal Bello B, Porta C, et al Expression of pERK and VEGFR-2 in advanced hepatocellular carcinoma and resistance to sorafenib treatment. Liver Int 2015; 35: 2001– 8. 10.1111/liv.12778 25559745 · DOI
  44. [48]Personeni N, Rimassa L, Pressiani T, et al Molecular determinants of outcome in sorafenib-treated patients with hepatocellular carcinoma. J Cancer Res Clin Oncol 2013; 139: 1179– 87. 10.1007/s00432-013-1429-x 23568548 PMC11824411 · DOI
  45. [49]Chen J, Ji T, Zhao J, et al Sorafenib-resistant hepatocellular carcinoma stratified by phosphorylated ERK activates PD-1 immune checkpoint. Oncotarget 2016; 7: 41274– 84. 10.18632/oncotarget.8978 27129180 PMC5173058 · DOI
  46. [50]Schmitz KJ, Wohlschlaeger J, Lang H, et al Activation of the ERK and AKT signalling pathway predicts poor prognosis in hepatocellular carcinoma and ERK activation in cancer tissue is associated with hepatitis C virus infection. J Hepatol 2008; 48: 83– 90. 10.1016/j.jhep.2007.08.018 17998146 · DOI
  47. [51]Burkhart RA, Ronnekleiv-Kelly SM, Pawlik TM Personalized therapy in hepatocellular carcinoma: Molecular markers of prognosis and therapeutic response. Surg Oncol 2017; 26: 138– 45. 10.1016/j.suronc.2017.01.009 28577719 · DOI
  48. [52]McShane LM, Hayes DF Publication of tumor marker research results: the necessity for complete and transparent reporting. J Clin Oncol 2012; 30: 4223– 32. 10.1200/JCO.2012.42.6858 23071235 PMC3504327 · DOI

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Authors
Pinyol, R., Montal, R., Bassaganyas, L., Sia, D., Takayama, T., Chau, G.-Y., Mazzaferro, V., Roayaie, S., Lee, H. C., Kokudo, N., Zhang, Z., Torrecilla, S., Moeini, A., Rodriguez-Carunchio, L., Gane, E., Verslype, C., Croitoru, A. E., Cillo, U., de la Mata, M., Lupo, L., Strasser, S., Park, J.-W., Camps, J., Solé, M., Thung, S. N., Villanueva, A., Pena, C., Meinhardt, G., Bruix, J., & Llovet, J. M.
Affiliations
  • Hospital Clínic de Barcelona (ES)
  • Tisch Cancer Institute (US)
  • Nihon University (JP)
  • Taipei Veterans General Hospital (TW)
  • University of Milan (IT)
  • White Plains Hospital (US)
  • Asan Medical Center (KR)
  • The University of Tokyo (JP)
  • Icahn School of Medicine at Mount Sinai (US)
  • BCLC Group, Liver Unit, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)–Hospital Clínic, CIBERehd, Universitat de Barcelona, Barcelona, Spain
  • Auckland City Hospital (NZ)
  • Universitair Ziekenhuis Leuven (BE)
  • Institutul Clinic Fundeni (RO)
  • University of Padua (IT)
  • Unit of Hepatology and Liver Transplantation, CIBERehd, IMIBIC, University Hospital Reina Sofia, Cordoba, Spain
  • Azienda Universitaria Ospedaliera Consorziale - Policlinico Bari (IT)
  • The University of Sydney (AU)
  • National Cancer Center (KR)
  • Bayer HealthCare Pharmaceuticals, Whippany, New Jersey, USA
  • Bayer (United States) (US)
  • Institució Catalana de Recerca i Estudis Avançats (ES)
Corresponding author
Llovet, Josep M
Venue
Gut
Publisher
BMJ
Published
2018-10-02
Volume
68
Issue
6
Pages
1065-1075
ISSN
  • 0017-5749 (ISSN-L)
  • 1468-3288
OpenAlex
W2885162827
Cited by
326
References
4
Citations by year
2026: 17 · 2025: 46 · 2024: 52 · 2023: 53 · 2022: 53 · 2021: 43 · 2020: 38 · 2019: 23 · 2018: 1
FWCI
16.45
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • Gut (publishedVersion, cc-by-nc)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • Lirias (KU Leuven) (submittedVersion, cc-by-nc)
  • RISalud Institutional Health Repository of Andalucía (submittedVersion, cc-by-nc)
  • Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
  • Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) (submittedVersion, cc-by-nc)
  • HighWire Press Open Archive (submittedVersion)
  • CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) (submittedVersion, cc-by-nc-nd)
  • Padua Research Archive (University of Padova) (submittedVersion, cc-by-nc)
Funders
  • Agència de Gestió d’Ajuts Universitaris i de Recerca
  • Generalitat de Catalunya
  • National Cancer Institute
  • Association for International Cancer Research
  • Spanish Health Ministry - Plan estratégico Nacional contra la Hepatitis C
  • Bayer HealthCare
  • American Association for the Study of Liver Diseases
  • Fundación Científica Asociación Española Contra el Cáncer
  • Tisch Cancer Institute
  • Horizon 2020 Framework Programme
  • Spanish National Health Institute
  • Samuel Waxman Cancer Research Foundation
  • Spanish Ministry of Economy and Competitiveness
  • U.S. Department of Defense
  • Instituto de Salud Carlos III
  • Onyx Pharmaceuticals
Topics
  • Health Sciences › Medicine › Hepatology › Hepatocellular Carcinoma Treatment and Prognosis
  • Health Sciences › Medicine › Oncology › Colorectal Cancer Treatments and Studies
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Renal cell carcinoma treatment
Keywords
hepatocellular carcinoma, sorafenib, adjuvant therapy, recurrence-free survival, recurrence prevention, prognostic factors, predictive biomarkers, gene expression signatures, microvascular invasion, ERK1/2 phosphorylation, VEGFR2, VEGF-A, immune cell infiltration
MeSH terms
Sorafenib, Adult, Aged, Aged, 80 and over, Biopsy, Needle, Female, Carcinoma, Hepatocellular, Humans, Immunohistochemistry, Liver Neoplasms, Male, Middle Aged, Neoplasm Invasiveness, Neoplasm Recurrence, Local, Neoplasm Staging, Predictive Value of Tests, Prognosis, Survival Analysis, Tissue Embedding, Treatment Outcome, Chemotherapy, Adjuvant, Disease-Free Survival, Angiogenesis Inhibitors, Molecular Targeted Therapy

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