PD-1/PD-L1 immune checkpoint therapy demonstrates favorable safety profile in patients with autoimmune liver disease
Kocheise, L.; Piseddu, I.; Vonderlin, J.; Tjwa, E. T.; Buescher, G.; Meunier, L.; Goeggelmann, P.; Fianchi, F.; Dumortier, J.; Riveiro-Barciela, M.; Gevers, T. J.; Beretta-Piccoli, B. T.; Londono, M.-C.; Frankova, S.; Roesner, T.; Joerg, V.; Schmidt, C.; Glaser, F.; Sutter, J. P.; Fründt, T. W.; Lohse, A. W.; Huber, S.; von Felden, J.; Sebode, M.; Schulze, K.
Show abstract
BackgroundImmune checkpoint inhibitors (ICI) have revolutionized the treatment of many malignancies in recent years. However, immune-related adverse events (irAE) are a frequent concern in clinical practice. The safety profile of ICI for the treatment of malignancies in patients diagnosed with autoimmune liver disease (AILD) remains unclear. Due to this uncertainty, these patients were excluded from ICI clinical trials and ICI are withheld from this patient group. In this retrospective multicenter study, we assessed the safety of ICI in patients with AILD. MethodsWe contacted tertiary referral hospitals for the identification of AILD patients under ICI treatment in Europe via the European Reference Network on Hepatological Diseases (ERN RARE-LIVER). Fourteen centers contributed data on AILD patients with malignancies being treated with ICI, another three centers did not treat these patients with ICI due to fear of irAEs. ResultsIn this study, 22 AILD patients under ICI treatment could be identified. Among these patients, 12 had primary biliary cholangitis (PBC), five had primary sclerosing cholangitis (PSC), four had autoimmune hepatitis (AIH), and one patient had an AIH-PSC variant syndrome. Eleven patients had hepatobiliary cancers and the other 11 patients presented with non-hepatic tumors. The applied ICIs were atezolizumab (n=7), durvalumab (n=5), pembrolizumab (n=4), nivolumab (n=4), spartalizumab (n=1), and in one case combined immunotherapy with nivolumab plus ipilimumab. Among eight patients who presented with grade 1 or 2 irAEs, three demonstrated liver irAEs. Cases with grades [≥] 3 irAEs were not reported. No significant changes in liver tests were observed during the first year after the start of ICI. ConclusionsThis European multicenter study demonstrates that PD-1/PD-L1 inhibitors appear to be safe in patients with AILD. Further studies on the safety of more potent dual immune checkpoint therapy are needed. We conclude that immunotherapy should not categorically be withheld from patients with AILD.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Therapeutic inhibition of monocyte recruitment prevents checkpoint inhibitor-induced hepatitis 89%
- Nicotinamide combined with gemcitabine is an immunomodulatory therapy that restrains pancreatic cancer in mice 88%
- Long-term mortality outcomes among immunotherapy recipients treated with dupilumab for the management of cutaneous immune-related adverse events 88%
Similar papers in this journal
- Predictors of In-hospital Mortality among Cirrhotic Patients in Ethiopia: A Multicenter Retrospective Study 93%
- Predicting Short-Term Mortality in Severe Cirrhosis: An Interpretable Machine Learning Model Integrating Routine Clinical Indicators 92%
- The Role of CD147 in Leukocyte Aggregation in Liver Injury 92%
Similar papers in this journal
- Clinical course and risk factors for mortality of COVID-19 patients with pre-existing cirrhosis: A multicenter cohort study 91%
- Residual SARS-CoV-2 viral antigens detected in gastrointestinal and hepatic tissues from two recovered COVID-19 patients 91%
- Differential Intrahepatic Integrated HBV DNA Patterns Between HBeAg-Positive and HBeAg-Negative Chronic Hepatitis B 91%
Similar papers in this journal
- Single-Cell Mass Cytometry on Peripheral Blood Identifies Immune Cell Subsets Associated with Primary Biliary Cholangitis 91%
- IFNL4 genetic variant can predispose to COVID-19 90%
- Loss of Y in regulatory T lymphocytes in the tumor micro-environment of primary colorectal cancers and liver metastases 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.