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Immunologic Features of Patients With Advanced Hepatocellular Carcinoma Before and During Sorafenib or
Zuzana Macek Jilkova1,2,3, Caroline Aspord1,2,4, Keerthi Kurma1,2
1Institute for Advanced Biosciences, Université Grenoble-Alpes, Saint-Martin-d'Hères, France.
Introduction:
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death worldwide. Today, a promising treatment strategy is focused on the enhancement of antitumor immune responses by immune checkpoint modification. However, as only 20% of patients with HCC are responders, identification of predictive factors is urgently required. Therefore, for the first time, the features of the intrahepatic and circulating immune system in patients with advanced-stage HCC, before and during the treatment, were analyzed.
Methods:
We collected fresh HCC biopsies, along with adjacent tumor-free liver tissues and peripheral blood samples, from 21 patients with advanced HCC. Furthermore, we performed an extensive immunomonitoring of patients with HCC treated with sorafenib or programmed death (PD)-1/PD-L1 pathway blockade using multiparametric flow cytometry.
Results:
We observed that regardless of the treatment, low baseline intratumoral CD4/CD8 T-cell ratio was associated with better overall survival (P = 0.0002). The baseline frequency of intratumoral PD-1 CD8 T cells was significantly lower in patients responding to sorafenib treatment than in the nonresponders (P = 0.0117), and the frequency of circulating PD-1 T cells increased with tumor progression (P = 0.0329). By contrast, responders to PD-1/PD-L1 pathway blockade showed a trend of high baseline frequency of intratumoral PD-1 CD8 T cells. Moreover, we observed a trend of LAG3 and TIM3 upregulation on circulating T cells in nonresponding patients to PD-1/PD-L1 pathway blockade.
Discussion:
Immunosuppressive state, characterized by an enhanced intratumoral CD4/CD8 T-cell ratio, was associated with poor prognosis. Additionally, our results suggest that the frequency of intratumoral PD-1 CD8 T cells may serve as a biomarker to identify which individuals will benefit from which treatment and support the use of combination strategies.
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