Cancer immunotherapies with antibodies blocking immune checkpoint molecules are clinically active across multiple cancer entities and have markedly improved cancer treatment¹. Yet, response rates are still limited, and tumour progression commonly occurs². Soluble and cell-bound factors in the tumour microenvironment negatively affect cancer immunity. Recently, growth differentiation factor 15 (GDF-15), a cytokine that is abundantly produced by many cancer types, was shown to interfere with antitumour immune response. In preclinical cancer models, GDF-15 blockade synergistically enhanced the efficacy of anti-PD-1-mediated checkpoint inhibition³. In a first-in-human phase 1–2a study (GDFATHER-1/2a trial, NCT04725474), patients with advanced cancers refractory to anti-PD-1 or anti-PD-L1 therapy (termed generally as anti-PD-1/PD-L1 refractoriness) were treated with the neutralizing anti-GDF-15 antibody visugromab (CTL-002) in combination with the anti-PD-1 antibody nivolumab. Here we show that durable and deep responses were achieved in some patients with non-squamous non-small cell lung cancer and urothelial cancer, two cancer entities identified as frequently immunosuppressed by GDF-15 in an in silico screening of approximately 10,000 tumour samples in The Cancer Genome Atlas database. Increased levels of tumour infiltration, proliferation, interferon-γ-related signalling and granzyme B expression by cytotoxic T cells were observed in response to treatment. Neutralizing GDF-15 holds promise in overcoming resistance to immune checkpoint inhibition in cancer.

In western countries, hepatocellular carcinoma (HCC) is a major reason for orthotopic liver transplantation (OLT) with estimated recurrence rates between 15% and 20%. This selective literature review addresses follow‐up care after OLT in HCC and current treatment options. Recurrence prediction is based on pathological tumor stage, vascular invasion, serum alfafetoprotein levels, and histological differentiation, but further advances are expected by molecular profiling techniques. Lower levels of immunosuppressive agents are associated with a lower risk for HCC recurrence. Retrospective studies indicate that mammalian target of rapamycin (mTOR) inhibitors as immunosuppression reduce the risk of HCC recurrence. However, prospective studies supporting this potential advantage of mTOR inhibitors are still lacking, and higher rejection rates were reported for sirolimus after OLT in HCC. Prognosis is poor in recurrent HCC, a longer interval between OLT and recurrence and feasibility of surgical resection are associated with improved survival. Systemic treatment with sorafenib is the current standard of care in patients with advanced‐stage HCC not suitable for locoregional therapy. After OLT, combination of an mTOR inhibitor with sorafenib is feasible and frequently used in clinical practice. As safety and efficacy data are still limited, close clinical monitoring is mandatory.

Introduction: T-cell checkpoint inhibition as a cancer treatment approach has been the main breakthrough in cancer treatment during the last years. Since the approval of the first commercial CTLA-4 antibody ipilimumab in 2011 for the treatment of melanoma, research and drug development in this field has accelerated massively. In 2014, the US Food and Drug Administration (FDA) approved the first PD-1 targeting agent, namely pembrolizumab, shortly followed by nivolumab. Areas covered: Nivolumab is a fully human immunoglobulin G4 anti-PD-1 monoclonal antibody which is approved for multiple advanced malignancies, including melanoma, non-small cell lung cancer, renal cell cancer, Hodgkin’s lymphoma, squamous head and neck cancer, and urothelial carcinoma. In September 2017, nivolumab was approved by the FDA for liver cancer as a second line treatment after failure of sorafenib based on the data of the multi-cohort phase 1/2 trial CheckMate-040. This article reviews the concept of immunotherapy in liver cancer with focus on nivolumab. Expert commentary: Immunotherapy in hepatocellular carcinoma is safe and is a new treatment option for patients with advanced stage disease besides sorafenib and regorafenib in the US. Randomized phase III trials of nivolumab, pembrolizumab, atezolizumab, durvalumab and tislelizumab as mono- or combination-therapy are ongoing.

Background: Alpha-fetoprotein (AFP) and des-gamma carboxyprothrombin (DCP), also known as protein induced by vitamin K absence-II (PIVKA-II [DCP]) are biomarkers for HCC with limited diagnostic value when used in isolation. The novel GAAD algorithm is an in vitro diagnostic combining PIVKA-II (DCP) and AFP measurements, age, and gender (biological sex) to generate a semi-quantitative result. We conducted prospective studies to develop, implement, and clinically validate the GAAD algorithm for differentiating HCC (early and all-stage) and benign chronic liver disease (CLD), across disease stages and etiologies. Methods: Patients aged ≥18 years with HCC or CLD were prospectively enrolled internationally into algorithm development [n = 1084; 309 HCC cases (40.7% early-stage) and 736 controls] and clinical validation studies [n = 877; 366 HCC cases (47.6% early-stage) and 303 controls]. Serum samples were analyzed on a cobas^® e 601 analyzer. Performance was assessed using receiver operating characteristic curve analyses to calculate AUC. Results: For algorithm development, AUC for differentiation between early-stage HCC and CLD was 90.7%, 84.4%, and 77.2% for GAAD, AFP, and PIVKA-II, respectively. The sensitivity of GAAD for the detection of early-stage HCC was 71.8% with 90.0% specificity. Similar results were shown in the clinical validation study; AUC for differentiation between early-stage HCC and CLD was 91.4% with 70.1% sensitivity and 93.7% specificity. GAAD also showed strong specificity, with a lower rate of false positives regardless of disease stage, etiology, or region. Conclusions: The GAAD algorithm significantly improves early-stage HCC detection for patients with CLD undergoing HCC surveillance. Further phase III and IV studies are warranted to assess the utility of incorporating the algorithm into clinical practice.