Prediction of therapeutic response of advanced hepatocellular carcinoma to combined targeted immunotherapy by MRI

Hepatocellular carcinoma (HCC) represents the commonest primary liver malignancy, and the fourth deadliest cancer around the world [1]. HCC prognosis remains poor, mainly because of a high diagnostic rate at an advanced disease stage. Moreover, therapeutic options for these patients are generally limited to systemic treatment [2,3]. Currently, there are many novel anticancer agents with demonstrated effectiveness. Sorafenib, the first approved systemic drug for HCC, improves patient survival [4]; in addition, the multitarget tyrosine kinase inhibitor (TKI) lenvatinib with anti-angiogenic effects, was proven to be non-inferior to sorafenib as first-line therapy for advanced-stage HCC in the REFLECT trial [5]. In recent years, immunotherapy applying checkpoint blockade inhibitors has renewed hope in HCC therapy, but with mixed results [6,7]. Lately, combined targeted and immunotherapy with TKIs and anti-programmed cell death protein 1 (PD-1) antibodies has revealed synergistic effects with promising results [[8], [9], [10]], with superiority over both TKI monotherapy [5,11] and single-agent anti-PD-1 antibody alone [6,7]. Yet, differential response to treatment has been reported with frequently detected primary or secondary resistance. Furthermore, these treatments are associated with unavoidable adverse events. Predicting various responses pre-treatment could help opt for more targeted treatments and optimize individual treatment strategies.

Among existing tools that are commonly used, biopsy is an invasive procedure with several risks and limitations [12], while serum testing lacks specificity [13]. Thus, identifying a reliable non-invasive imaging biomarker is of paramount importance in the search for effective therapeutic candidates. Nowadays, multiphase contrast-enhanced MRI is considered the most accurate tool in HCC imaging [14]. Recently reported findings suggested MRI as a good method for evaluating HCC prognosis [[15], [16], [17], [18], [19]], but this technique has been seldom applied for assessing the efficacy of combined targeted immunotherapy in HCC.

The present work aimed to assess the value of pre-treatment MRI in predicting treatment response to combined targeted immunotherapy in advanced HCC.

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