Why does survival of hepatocellular carcinoma patients remain so low? Key stumbling blocks and questions in preclinical and clinical development

Clinical outcomes with atezolizumab plus bevacizumab or lenvatinib in patients with hepatocellular carcinoma: a multicenter real-world study

PURPOSE

The purpose of this study is to compare response rates of lenvatinib and atezolizumab plus bevacizumab, in first-line real-world setting.

METHODS

Overall cohort included Western and Eastern hepatocellular carcinoma (HCC) patient populations from 46 centres in 4 countries (Italy, Germany, Japan, and Republic of Korea).

RESULTS

1312 patients were treated with lenvatinib, and 823 patients were treated with atezolizumab plus bevacizumab. Objective response rate (ORR) was 38.6% for patients receiving lenvatinib, and 27.3% for patients receiving atezolizumab plus bevacizumab (p < 0.01; odds ratio 0.60). For patients who achieved complete response (CR), overall survival (OS) was not reached in both arms, but the result from univariate Cox regression model showed 62% reduction of death risk for patients treated with atezolizumab plus bevacizumab (p = 0.05). In all multivariate analyses, treatment arm was not found to be an independent factor conditioning OS. Comparing ORR achieved in the two arms, there was a statistically significant difference in favor of lenvatinib compared to atezolizumab plus bevacizumab in all subgroups except for Eastern patients, Child-Pugh B patients, presence of portal vein thrombosis, α-feto-protein ≥ 400 ng/mL, presence of extrahepatic disease, albumin-bilirubin (ALBI) grade 2, and no previous locoregional procedures.

CONCLUSION

Lenvatinib achieves higher ORR in all patient subgroups. Patients who achieve CR with atezolizumab plus bevacizumab can achieve OS so far never recorded in HCC patients. This study did not highlight any factors that could identify patient subgroups capable of obtaining CR.

Establishment of Nomogram Model for Minimally Invasive Treatment of Small Hepatocellular Carcinoma Based on CD8+T Cell Counts

Purpose

Minimally invasive treatment of small hepatocellular carcinoma (HCC) is the main way of treatment, which can cause the change of HCC immune microenvironment. T lymphocytes are an important part of the immune microenvironment and may be powerful predictors of prognosis. The purpose of this study was to explore the effect of T lymphocytes on the prognosis of HCC and establish a prognostic model.

Patients and Methods

We conducted a retrospective study of 300 patients with small HCC and developed a clinical prediction model. The selection of modeling variables was performed by combining backward stepwise Cox regression using Akaike’s Information Criteria (AIC) and the Least Absolute Shrinkage and Selection Operator (LASSO) regression. Establish a dynamic nomogram model to predict 1-, 2-, and 3-year overall survival (OS). Receiver operating characteristic curve (ROC curve) was used to verify the model discriminative ability, calibration curve was used to examine the model calibration ability, and decision curve analysis (DCA) was used to evaluate the clinical value.

Results

The nomogram to predict the OS of small HCC includes the following four variables: aspartate aminotransferase (AST), alpha fetoprotein (AFP), C-reactive protein (CRP) and CD8⁺T cell counts, represented liver function index, tumor-related index, Inflammatory index and immune-related index, respectively. The area under the receiver operating characteristic curves (AUC) of predicting 1-, 2-, and 3-year overall survival were 0.846, 0.824 and 0.812, and the model was excellent in discrimination, calibration and clinical applicability.

Conclusion

Our study provides a nomogram based on CD8⁺T cell counts that can help predict the prognosis of small HCC after minimally invasive treatment, which suggests that T lymphocytes can be used as a prognostic factor for HCC. Larger trials are needed to verify our results.