Giant cell arteritis and therapeutic response: a dual facet of immunotherapy in metastatic clear cell renal carcinoma

Immune checkpoint inhibitors have emerged as a promising cancer treatment, allowing significant and long-term therapeutic responses. Nivolumab, an anti-programmed cell death protein-1, is one of the molecules of this therapeutic class with known and manageable side effects. Giant cell arteritis is a rare immune-related adverse event most often manifested by headaches poorly released by common antalgics and can result in visual loss. We report its occurrence in an 80-year-old patient on maintenance nivolumab for metastatic clear cell renal carcinoma. Prompt diagnosis and initiation of glucocorticoid therapy led to symptom improvement and visual recovery.

Machine Learning Approaches for Assessing Risk Factors of Adrenal Insufficiency in Patients Undergoing Immune Checkpoint Inhibitor Therapy

Adrenal insufficiency is a rare, yet life-threatening immune-related adverse event of immune checkpoint inhibitors (ICIs). This study aimed to establish a risk scoring system for adrenal insufficiency in patients receiving anti-programmed cell death 1 (PD-1) or anti-programmed cell death-ligand 1 (PD-L1) agents. Moreover, several machine learning methods were utilized to predict such complications. This study included 209 ICI-treated patients from July 2015 to February 2021, excluding those with prior adrenal insufficiency, previous steroid therapy, or incomplete data to ensure data integrity. Patients were continuously followed up at Gyeongsang National University Hospital, with morning blood samples taken for basal cortisol level measurements, facilitating a comprehensive analysis of their adrenal insufficiency risk. Using a chi-squared test and logistic regression model, we derived the odds ratio and adjusted odds ratio (AOR) through univariate and multivariable analyses. This study utilized machine learning algorithms, such as decision trees, random forests, support vector machines (SVM), and logistic regression to predict adrenal insufficiency in patients treated with ICIs. The performance of each algorithm was evaluated using metrics like accuracy, sensitivity, specificity, precision, and the area under the receiver operating characteristic curve (AUROC), ensuring rigorous assessment and reproducibility. A risk scoring system was developed from the multivariable and machine learning analyses. In a multivariable analysis, proton pump inhibitors (PPIs) (AOR 4.5), and α-blockers (AOR 6.0) were significant risk factors for adrenal insufficiency after adjusting for confounders. Among the machine learning models, logistic regression and elastic net showed good predictions, with AUROC values of 0.75 (0.61-0.90) and 0.76 (0.64-0.89), respectively. Based on multivariable and machine learning analyses, females (1 point), age ≥ 65 (1 point), PPIs (1 point), α-blockers (2 points), and antipsychotics (3 points) were integrated into the risk scoring system. From the logistic regression curve, patients with 0, 1, 2, 4, 5, and 6 points showed approximately 1.1%, 2.8%, 7.3%, 17.6%, 36.8%, 61.3%, and 81.2% risk for adrenal insufficiency, respectively. The application of our scoring system could prove beneficial in patient assessment and clinical decision-making while administering PD-1/PD-L1 inhibitors.

Hepatic immune-mediatedadverseeffects of immune checkpoint inhibitors: analysis of real-life experience

INTRODUCTION AND OBJECTIVES

Immune Checkpoint Inhibitors (ICI) have shifted the paradigm of cancer therapy treatment. Despite their efficacy, ICIs may induce immune-related adverse events (irAE), which can affect various organs, namely the liver. This study intends to perform a comprehensive clinical description of the hepatic irAEs associated with ICI in a Portuguese population of a tertiary hospital centre.

MATERIALS AND METHODS

A retrospective analysis of patients who developed immune-mediated liver injury (IMLI), among a cohort of patients treated with ICIs between March 15^th of 2015 and December 15^th of 2019 in a tertiary hospital. We used both Common Terminology Criteria for Adverse Events (CTCAE) and Drug-Induced Liver Injury Network (DILIN) criteria to define liver injury.

RESULTS

Among 151 patients, eight (5.3%) patients developed liver injury grade ≥3, of which five had hepatic metastasis. As such, only 3 cases were classified as IMLI. All IMLI presented with cholestasis pattern; the median duration from ICI initiation to IMLI was 84 days and/or 4 ICI cycles; one patient registered IMLI one month after nivolumab suspension; all were treated with steroids and one was successfully submitted to ICI re-challenge; a favourable outcome was seen in all patients; the median time to hepatic biochemistries normalization was 150 days. Among 10 patients with previous hepatic conditions, only one developed liver injury grade 2.

CONCLUSIONS

Clinically significant ICI-related hepatotoxicity was uncommon; Immune-mediated liver injury may present a cholestatic pattern predominance. There was a low rate of liver injury of any kind in patients with previous hepatic disease while on ICI.

Recent Progress in Systemic Therapy for Hepatocellular Cancer (HCC)

Purpose of Review

The management of advanced hepatocellular (HCC) has drastically changed in the past few years with approval of several first line and second line systemic therapies. In this review we present an overview of the recent progress in the treatment of advanced HCC and discuss future perspectives.

Recent Findings

The phase 3 clinical trial IMBRAVE150 has recently shown the combination of an immune checkpoint inhibitor, atezolizumab, with an anti-angiogenic agent, bevacizumab, to be superior to sorafenib monotherapy for treatment-naive advanced HCC. Moreover, patients now have multiple options available in second-line therapy including targeted therapies like sorafenib, lenvatinib, regorafenib, cabozantinib, ramucirumab and immunotherapies like atezolizumab, and nivolumab either alone or combined with ipilimumab.

Summary

There has been tremendous recent progress in the management of advanced HCC. Combination therapy with atezolizumab-bevacizumab has recently become the standard first line of therapy for patients with advanced HCC. Additionally, immunotherapy agents are poised to play a significant role in the management of HCC either alone or in combination with molecular targeted therapies.