Atezolizumab plus bevacizumab for unresectable or metastatic hepatocellular carcinoma.
Antonio D'AlessioAntonella CammarotaValentina ZanusoTiziana PressianiNicola PersoneniLorenza RimassaPublished in: Expert review of anticancer therapy (2021)
Introduction: The treatment of unresectable hepatocellular carcinoma (HCC) has radically changed after the approval of the combination of atezolizumab plus bevacizumab as first-line treatment. A strong preclinical rationale exists to support the combination of bevacizumab, an anti-vascular endothelial growth factor monoclonal antibody (mAb), and atezolizumab, an anti-programmed death ligand 1 mAb. The efficacy of the combination was first assessed in the phase Ib GO30140 study, and the combination was then proven superior to the prior standard of care, sorafenib, in the phase III IMbrave150 trial.Areas covered: This article focuses on the mechanism of action of atezolizumab and bevacizumab, their synergistic action, and the two clinical trials leading to approval. We also collected the body of post-hoc analyses and meta-analyses to help guide the decision-making process in terms of patient selection and subsequent treatments.Expert opinion: Atezolizumab plus bevacizumab are the current standard of care for first-line treatment of unresectable or metastatic HCC and treatment-naïve patient should be treated with the combination, unless contraindications to the drugs. Since all the available agents for further lines of treatment have been approved for sorafenib-pretreated patients, prospective trials, post-hoc analyses, and real-world data assessing valid treatment sequencing are strongly needed.
Keyphrases
- clinical trial
- phase iii
- monoclonal antibody
- healthcare
- metastatic colorectal cancer
- end stage renal disease
- palliative care
- decision making
- chronic kidney disease
- newly diagnosed
- meta analyses
- open label
- locally advanced
- drug delivery
- machine learning
- electronic health record
- radiation therapy
- endothelial cells
- combination therapy
- prognostic factors
- chronic pain
- quality improvement
- single cell
- cell therapy
- clinical practice
- artificial intelligence