Neuroendocrine neoplasms (NENs) are a highly heterogeneous class of tumors arising from neuroendocrine cells and peptidergic neurons. After failure of first-line treatment, patients have poor prognosis and limited treatment options. Immune checkpoint inhibitors (ICIs) may be a powerful means of increasing therapeutic efficacy for such patients, but ICIs alone have low response rates and short disease control durations in most NENs and may be effective for only a portion of the population. ICIs combined with other immunotherapies, targeted therapies, or cytotoxic drugs have achieved some efficacy in patients with NENs and are worthy of further exploration to assess their benefits to the population. In addition, accumulating experimental and clinical evidence supports that the interaction between neuroendocrine and immune systems is essential to maintain homeostasis, and assessment of this broad neuroendocrine-immune correlation is essential for NEN treatment. In this review, we summarize the immune microenvironment characteristics, advances in immunotherapy, predictive biomarkers of ICI efficacy for NENs, and the effects of common endocrine hormones on the immune system, highlighting possible new application areas for this promising treatment in neglected NENs.
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Open Access
Review
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Open Access
Review
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Cytokine release syndrome (CRS) is a major obstacle to the widespread clinical application of chimeric antigen receptor (CAR) T cell therapies. CRS can also be induced by infections (such as SARS-CoV-2), drugs (such as therapeutic antibodies), and some autoimmune diseases. Myeloid-derived macrophages play key roles in the pathogenesis of CRS, and participate in the production and release of the core CRS cytokines, including interleukin (IL)-1, IL-6, and interferon-γ. In this review, we summarize the roles of macrophages in CRS and discuss new developments in macrophage activation and the related mechanisms of cytokine regulation in CRS.
Open Access
Original Article
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We aimed to retrospectively analyze the toxicity profiles and predictors of immune-related adverse events (irAEs) as well as the correlation between irAEs and the clinical efficacy of multi-type immune checkpoint inhibitors (ICIs) in patients with advanced pan-cancer in a real-world setting.
We retrospectively analyzed data from 105 patients with advanced pan-cancer treated with multi-type ICIs at the First Hospital of Jilin University between January 1, 2016 and August 1, 2020. We used logistic regression analyses to investigate the associations of irAEs with clinical baseline characteristics, blood count parameters, and biochemical indicators during treatment. Receiver operating characteristic curves were used to determine cutoff values for parameters and area under the curve values. Kaplan–Meier and Cox multivariate regression analyses were performed to estimate the relationships of baseline characteristics and irAEs with progression-free survival (PFS) and overall survival (OS).
A lower relative lymphocyte count (cutoff = 28.5%), higher albumin level (cutoff = 39.05 g/L), and higher absolute eosinophil count (AEC) (cutoff = 0.175 × 109/L) were significantly associated with the occurrence of irAEs, among which a higher AEC (cutoff = 0.205 × 109/L) was strongly associated with skin-related irAEs [odds ratios (ORs) = 0.163, P = 0.004]. Moreover, a higher lactate dehydrogenase level (cutoff = 237.5 U/L) was an independent predictor of irAEs of grade ≥ 3 (OR = 0.083, P = 0.023). In immune cell subgroup analysis, a lower absolute count of CD8+CD28− suppressor T cells (OR = 0.806; 95% confidence interval: 0.643–1.011; P = 0.062), which are regulatory T lymphocytes, was associated with the occurrence of irAEs, although the difference was not statistically significant. Furthermore, a higher percentage of CD19+ B cells was associated with the occurrence of irAEs of grade ≥ 3 (P = 0.02) and grade ≥ 2 (P = 0.051). In addition, patients with any grade of irAE had a significantly high PFS (8.37 vs. 3.77 months, hazard ratios (HR) = 2.02, P = 0.0038) and OS (24.77 vs. 13.83 months, HR = 1.84; P = 0.024).
This retrospective study reports clinical profile data for irAEs in unselected patients in a real-world setting and explored some parameters that may be potential predictive markers of the occurrence, type, or grade of irAEs in clinical practice. Evidence of a correlation between safety and efficacy may facilitate a complete assessment of the risk-benefit ratio for patients treated with ICIs.
