Laarhoven, Hanneke W.M. van

Abstract Background Patients with cancer treated with immune checkpoint inhibitors are at increased risk of myocardial infarction and ischemic stroke. The mechanism is incompletely understood but may involve accelerated atherosclerosis due to plaque inflammation. Pre-clinical studies may provide insight in these mechanisms. Aim To assess the effects of modulating co-inhibitory immune checkpoint proteins on atherosclerosis progression in animal models. Methods A systematic review was performed in MEDLINE, Embase, Web of Science, and Scopus up to September 2023. Animal studies were included if the effect of modulation of programmed cell death protein 1 (PD-1), programmed death-ligand 1 (PD-L1), cytotoxic T-lymphocyte associated protein 4 (CTLA-4), and/or lymphocyte-activation gene 3 (LAG-3) on atherosclerotic plaque size was evaluated. Secondary outcomes were plaque composition and systemic inflammation. The ratios of means (RoM) across the studies were pooled in a random effects meta-analysis. Results 1,655 studies were identified of which twelve were included. All studies used an atherosclerotic mouse model (Apoe-/-, Ldlr-/-, or ApoE3*Leiden) and either evaluated pharmacological or genetic modulation of co-inhibitory immune checkpoint proteins. Upon inhibition, atherosclerotic plaque size in the aorta was 49% higher in exposed mice compared to control mice (RoM, 1.49; 95% CI, 1.12-1.82; I2=86%). Plaque composition was predominantly characterized by a greater abundance of CD4+ T cells, CD8+ T cells, and macrophages. Studies stimulating co-inhibitory immune checkpoint proteins corroborated these findings and demonstrated that atherosclerotic plaque size was reduced by 28% in treated mice compared to controls (RoM, 0.72; 95% CI, 0.65-0.80; I2=85%). This reduction was paralleled by a decrease in the number of macrophages and T cells in plaques. Conclusion Immune checkpoint inhibition leads to plaque inflammation and a significant increase in murine atherosclerotic plaque size. These changes may reflect the cause of the increased risk of myocardial infarction and ischemic stroke in patients treated with immune checkpoint inhibitors.

Abstract Background Systemic treatment for advanced cancer offers uncertain and sometimes limited benefit, while the burden can be high. This study examines the effect of shared decision-making (SDM) training for medical oncologists on observed SDM in standardized patient assessments. Materials and Methods A randomized controlled trial comparing training with standard practice was conducted. Medical oncologists and oncologists-in-training (n = 31) participated in a video-recorded, standardized patient assessment at baseline (T0) and after 4 months (T1, after training). The training was based on a four-stage SDM model and consisted of a reader, two group sessions (3.5 hours each), a booster session (1.5 hours), and a consultation card. The primary outcome was observed SDM as assessed with the Observing Patient Involvement scale (OPTION12) coded by observers blinded for arm. Secondary outcomes were observed SDM per stage, communication skills, and oncologists’ satisfaction with communication. Results The training had a significant and large effect on observed SDM in the simulated consultations (Cohen's f = 0.62) and improved observed SDM behavior in all four SDM stages (f = 0.39–0.72). The training improved oncologists’ information provision skills (f = 0.77), skills related to anticipating/responding to emotions (f = 0.42), and their satisfaction with the consultation (f = 0.53). Conclusion Training medical oncologists in SDM about palliative systemic treatment improves their performance in simulated consultations. The next step is to examine the effect of such training on SDM in clinical practice and on patient outcomes. Implications for Practice Systemic treatment for advanced cancer offers uncertain and sometimes limited benefit, while the burden can be high. Hence, applying the premises of shared decision-making (SDM) is recommended. SDM is increasingly advocated based on the ethical imperative to provide patient-centered care and the increasing evidence for beneficial patient outcomes. Few studies examined the effectiveness of SDM training in robust designs. This randomized controlled trial demonstrated that SDM training (10 hours) improves oncologists’ performance in consultations with standardized patients. The next step is to examine the effect of training on oncologists’ performance and patient outcomes in clinical practice.