Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2022 Jun 30;14(13):3213.
doi: 10.3390/cancers14133213.

Could We Predict the Response of Immune Checkpoint Inhibitor Treatment in Hepatocellular Carcinoma?

Affiliations
Review

Could We Predict the Response of Immune Checkpoint Inhibitor Treatment in Hepatocellular Carcinoma?

Choong-Kun Lee et al. Cancers (Basel). .

Abstract

The use of anti-programmed cell-death protein (ligand)-1 (PD-[L]1) is an important strategy for treating hepatocellular carcinoma (HCC). However, the treatment only benefits 10-20% of patients when used as a monotherapy. Therefore, the selection of patients for anti-PD-1/PD-L1 treatment is crucial for both patients and clinicians. This review aimed to explore the existing literature on tissue or circulating markers for the identification of responders or non-responders to anti-PD-1/PD-L1 in HCC. For the clinically available markers, both etiological factors (viral versus non-viral) and disease extent (intra-hepatic vs. extrahepatic) impact the responses to anti-PD-1/PD-L1, warranting further studies. Preliminary data suggested that inflammatory indices (e.g., neutrophil-lymphocyte ratio) may be associated with clinical outcomes of HCC during the anti-PD-1/PD-L1 treatment. Finally, although PD-L1 expression in tumor tissues is a predictive marker for multiple cancer types, its clinical application is less clear in HCC due to the lack of a clear-cut association with responders to anti-PD-1/PD-L1 treatment. Although all translational markers are not routinely measured in HCC, recent data suggest their potential roles in selecting patients for anti-PD-1/PD-L1 treatment. Such markers, including the immune classification of HCC, selected signaling pathways, tumor-infiltrating lymphocytes, and auto-antibodies, were discussed in this review.

Keywords: anti-programmed cell-death protein (ligand)-1; clinical biomarker; hepatocellular carcinoma; immune checkpoint inhibitor; predictive biomarker; translational biomarker.

PubMed Disclaimer

Conflict of interest statement

Hong Jae Chon has been a consultant/advisor to Roche, ONO, BMS, Eisai, Bayer, MSD, and AstraZeneca, received research grants from Roche, and received lecture fees from Roche, Bayer, and BMS. Stephen L. Chan has been an advisor to Astrazeneca, Autem, Eisai, Ipsen, MSD, and Novartis, received a research grant from Bayer, Ipsen, and SIRTEX, and received a lecture fee from Astrazeneca, Bayer, Eisai, Roche, and MSD. The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Clinical and translational biomarkers to predict the response and lack of response of immune checkpoint inhibitor treatment in hepatocellular carcinoma.

Similar articles

Cited by

References

    1. Llovet J.M., Kelley R.K., Villanueva A., Singal A.G., Pikarsky E., Roayaie S., Lencioni R., Koike K., Zucman-Rossi J., Finn R.S. Hepatocellular Carcinoma. Nat. Rev. Dis. Primers. 2021;7:6. doi: 10.1038/s41572-020-00240-3. - DOI - PubMed
    1. Center M.M., Jemal A. International Trends in Liver Cancer Incidence Rates. Cancer Epidemiol. Biomark. Prev. 2011;20:2362–2368. doi: 10.1158/1055-9965.EPI-11-0643. - DOI - PubMed
    1. Singal A.G., Lampertico P., Nahon P. Epidemiology and Surveillance for Hepatocellular Carcinoma: New Trends. J. Hepatol. 2020;72:250–261. doi: 10.1016/j.jhep.2019.08.025. - DOI - PMC - PubMed
    1. Bray F., Ferlay J., Soerjomataram I., Siegel R.L., Torre L.A., Jemal A. Global Cancer Statistics 2018: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J. Clin. 2018;68:394–424. doi: 10.3322/caac.21492. - DOI - PubMed
    1. Bertuccio P., Turati F., Carioli G., Rodriguez T., La Vecchia C., Malvezzi M., Negri E. Global Trends and Predictions in Hepatocellular Carcinoma Mortality. J. Hepatol. 2017;67:302–309. doi: 10.1016/j.jhep.2017.03.011. - DOI - PubMed