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Comparative assessment of standard and immune response criteria for evaluation of response to PD-1 monotherapy in unresectable HCC

  • Hepatobiliary
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Abdominal Radiology Aims and scope Submit manuscript

Abstract

Purpose

To assess response to programmed death-1 (PD-1) monotherapy (nivolumab) in hepatocellular carcinoma (HCC) patients using RECIST1.1, modified RECIST (mRECIST), and immune RECIST (iRECIST). A secondary objective was to identify clinicolaboratory and imaging variables predictive of progressive disease (PD) and overall survival (OS).

Methods

Patients with HCC treated with nivolumab at a single institution from 5/2016 to 12/2019 with MRI or CT performed ≥ 4 weeks post treatment were retrospectively assessed. Patients who received concurrent locoregional, radiation, or other systemic therapies were excluded. Response was assessed by 2 observers in consensus using RECIST1.1, mRECIST, and iRECIST at 3/6/9/12-month time points. Time to progression (TTP) and OS were recorded. Clinicolaboratory and imaging variables were evaluated as predictors of PD and OS using uni-/multivariable and Cox regression analyses.

Results

Fifty-eight patients (42M/16F) were included. 118 target lesions (TL) were identified before treatment. Baseline mean TL size was 49.1 ± 43.5 mm (range 10–189 mm) for RECIST1.1/iRECIST and 46.3 ± 42.3 mm (range 10–189 mm) for mRECIST. Objective response rate (ORR) was 21% for mRECIST/iRECIST/RECIST1.1, with no cases of pseudoprogression. Median OS and median TTP were 717 days and 127 days for RECIST1.1/mRECIST/iRECIST-iUPD (unconfirmed PD). Older age, MELD/Child–Pugh scores, AFP, prior transarterial radioembolization (TARE), and larger TL size were predictive of PD and/or poor OS using mRECIST/iRECIST. The strongest predictor of PD (HR = 2.49, 95% CI 1.29–4.81, p = 0.007) was TARE. The strongest predictor of poor OS was PD by mRECIST/iRECIST at 3 months (HR = 2.26, 95% CI 1.00–5.10, p = 0.05) with borderline significance.

Conclusion

Our results show ORR of 21%, equivalent for mRECIST, iRECIST, and RECIST1.1 in patients with advanced HCC clinically treated with nivolumab.

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Data availability

Upon request, the authors are prepared to send relevant documentation or data in order to verify the validity of the results presented. Code availability (software application or custom code): N/A.

Code availability

N/A.

Abbreviations

ALT:

Alanine aminotransferase

AST:

Aspartate aminotransferase

CP:

Child–Pugh

CR:

Complete response

CT:

Computed tomography

HBV:

Hepatitis B virus

HCC:

Hepatocellular carcinoma

HCV:

Hepatitis C virus

INR:

International normalized ratio

iCPD:

Confirmed progressive disease

iRECIST:

Immune Response Evaluation Criteria in Solid Tumors

iUPD:

Unconfirmed progressive disease

LRT:

Locoregional therapy

MELD:

Model for end-stage liver disease

mRECIST:

Modified Response Evaluation Criteria in Solid Tumors

MRI:

Magnetic resonance imaging

ORR:

Objective response rate

OS:

Overall survival

PD-1:

Programmed death-1

PD:

Progressive disease

PR:

Partial response

RECIST1.1:

Response Evaluation Criteria in Solid Tumors

SD:

Stable disease

TL:

Target lesion

TARE:

Transarterial radioembolization

TTP:

Time to progression

References

  1. Singal, A.G., P. Lampertico, and P. Nahon, Epidemiology and surveillance for hepatocellular carcinoma: New trends. J Hepatol, 2020. 72(2): p. 250-261.

    Article  CAS  Google Scholar 

  2. Forner, A., et al., Current strategy for staging and treatment: the BCLC update and future prospects. Semin Liver Dis, 2010. 30(1): p. 61-74.

    Article  CAS  Google Scholar 

  3. Llovet, J.M., et al., Sorafenib in advanced hepatocellular carcinoma. N Engl J Med, 2008. 359(4): p. 378-90.

    Article  CAS  Google Scholar 

  4. Llovet, J.M., et al., Molecular therapies and precision medicine for hepatocellular carcinoma. Nat Rev Clin Oncol, 2018. 15(10): p. 599-616.

    Article  Google Scholar 

  5. Cheng, A.L., et al., Efficacy and safety of sorafenib in patients in the Asia-Pacific region with advanced hepatocellular carcinoma: a phase III randomised, double-blind, placebo-controlled trial. Lancet Oncol, 2009. 10(1): p. 25-34.

    Article  CAS  Google Scholar 

  6. Meyer, T., Treatment of advanced hepatocellular carcinoma: beyond sorafenib. Lancet Gastroenterol Hepatol, 2018. 3(4): p. 218-220.

    Article  Google Scholar 

  7. El-Khoueiry, A.B., et al., Nivolumab in patientss with advanced hepatocellular carcinoma (CheckMate 040): an open-label, non-comparative, phase 1/2 dose escalation and expansion trial. Lancet, 2017. 389(10088): p. 2492-2502.

    Article  CAS  Google Scholar 

  8. Cheng, H., et al., Trends in the treatment of advanced hepatocellular carcinoma: immune checkpoint blockade immunotherapy and related combination therapies. Am J Cancer Res, 2019. 9(8): p. 1536-1545.

    CAS  PubMed  PubMed Central  Google Scholar 

  9. Fessas, P., et al., Post-registration experience of nivolumab in advanced hepatocellular carcinoma: an international study. J Immunother Cancer, 2020. 8(2).

  10. Llovet, J.M. and R. Lencioni, mRECIST for HCC: Performance and novel refinements. J Hepatol, 2020. 72(2): p. 288-306.

    Article  Google Scholar 

  11. Ma, Y., et al., How to differentiate pseudoprogression from true progression in cancer patients treated with immunotherapy. Am J Cancer Res, 2019. 9(8): p. 1546-1553.

    CAS  PubMed  PubMed Central  Google Scholar 

  12. Seymour, L., et al., iRECIST: guidelines for response criteria for use in trials testing immunotherapeutics. Lancet Oncol, 2017. 18(3): p. e143-e152.

    Article  Google Scholar 

  13. (ACR), A.C.o.R. CT/MRI LI-RADS® v2018. 2018.

  14. Eisenhauer, E.A., et al., New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer, 2009. 45(2): p. 228–47.

  15. Lencioni, R. and J.M. Llovet, Modified RECIST (mRECIST) assessment for hepatocellular carcinoma. Semin Liver Dis, 2010. 30(1): p. 52-60.

    Article  CAS  Google Scholar 

  16. T, Z.H.a.H., Regularization and variable selection via the Elastic Net. Journal of the Royal Statistical Society, Series B, 2005. 67: p. 301–320.

  17. Cox, D.R.a.O., D, Analysis of Survival Data. 1984, New York: Chapman & Hall.

  18. Friedman, J., T. Hastie, and R. Tibshirani, Regularization Paths for Generalized Linear Models via Coordinate Descent. J Stat Softw, 2010. 33(1): p. 1-22.

    Article  Google Scholar 

  19. Pinato, D.J., et al., Immune-based therapies for hepatocellular carcinoma. Oncogene, 2020. 39(18): p. 3620-3637.

    Article  CAS  Google Scholar 

  20. Ziogas, I.A., et al., The Role of Immunotherapy in Hepatocellular Carcinoma: A Systematic Review and Pooled Analysis of 2,402 Patients. Oncologist, 2020.

  21. Kudo, M., Systemic Therapy for Hepatocellular Carcinoma: Latest Advances. Cancers (Basel), 2018. 10(11).

  22. Finn, R.S., et al., Atezolizumab plus Bevacizumab in Unresectable Hepatocellular Carcinoma. N Engl J Med, 2020. 382(20): p. 1894-1905.

    Article  CAS  Google Scholar 

  23. Zhu, A.X., et al., Pembrolizumab in patientss with advanced hepatocellular carcinoma previously treated with sorafenib (KEYNOTE-224): a non-randomised, open-label phase 2 trial. Lancet Oncol, 2018. 19(7): p. 940-952.

    Article  Google Scholar 

  24. Borcoman, E., et al., Patterns of Response and Progression to Immunotherapy. Am Soc Clin Oncol Educ Book, 2018. 38: p. 169-178.

    Article  Google Scholar 

  25. Lai, Y.C., et al., Response evaluation for immunotherapy through semi-automatic software based on RECIST 1.1, irRC, and iRECIST criteria: comparison with subjective assessment. Acta Radiol, 2020. 61(7): p. 983–991.

  26. Kurra, V., et al., Pseudoprogression in cancer immunotherapy: Rates, time course and patient outcomes. Journal of Clinical Oncology, 2016. 34(15_suppl): p. 6580–6580.

  27. Au, J.S. and C.T. Frenette, Management of Hepatocellular Carcinoma: Current Status and Future Directions. Gut Liver, 2015. 9(4): p. 437-48.

    Article  CAS  Google Scholar 

  28. Tai, W.M.D., et al., A phase II open-label, single-center, nonrandomized trial of Y90-radioembolization in combination with nivolumab in Asian patients with advanced hepatocellular carcinoma: CA 209–678. Journal of Clinical Oncology, 2020. 38(15_suppl): p. 4590–4590.

  29. Wehrenberg-Klee, E., et al., Y-90 Radioembolization Combined with a PD-1 Inhibitor for Advanced Hepatocellular Carcinoma. Cardiovasc Intervent Radiol, 2018. 41(11): p. 1799-1802.

    Article  Google Scholar 

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Authors and Affiliations

Authors

Contributions

SL: Conceptualization; data curation; formal analysis; investigation; methodology; project administration; supervision; and writing. MAC: data curation; formal analysis; and project administration. KML: data curation; formal analysis; and investigation. OB: conceptualization and methodology. SJH: conceptualization; methodology; and writing. WM: formal analysis; methodology; and software. PW: formal analysis; investigation; and supervision. DS: conceptualization; formal analysis; and methodology. DM: data curation; project administration; and writing. DJP, MS, and TM: supervision and writing. MS: data curation; supervision; and writing. BT: conceptualization; supervision; visualization; and writing.

Corresponding author

Correspondence to Sara Lewis.

Ethics declarations

Conflict of interest

Stefanie Hectors: Employment at Regeneron Pharmaceuticals. David Pinato: Lecture fees (ViiV Healthcare, EISAI, BMS, Roche, Bayer Healthcare), travel expenses (BMS, MSD and Bayer Healthcare), consulting fees (Mina Therapeutics, EISAI, Roche, Astra Zeneca, DaVolterra) research funding to institution (MSD, BMS, Biognosys). Thomas Marron: Advisory boards and/or DSMBs (Boehringer Ingelheim, BMS, AstraZeneca, Genentech, Celldex, and Regeneron), research grant support (BMS, Regeneron and Boehringer Ingelheim). Bachir Taouli: Grant/research support (Bayer, Takeda, Regeneron, Siemens, Echosens). The remaining authors (SL, MAC, KML, OB, WM, PW, DS, DVM, MS, and MS) have no relevant disclosures.

Ethical approval

Because this work involves the use of human subjects, we ensure that all procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008. The study was approved by the Institutions Review Board at the ISMMS.

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Waiver of informed consent was obtained.

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Lewis, S., Cedillo, M.A., Lee, K.M. et al. Comparative assessment of standard and immune response criteria for evaluation of response to PD-1 monotherapy in unresectable HCC. Abdom Radiol 47, 969–980 (2022). https://doi.org/10.1007/s00261-021-03386-0

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