Glioma-derived ANXA1 suppresses the immune response to TLR3 ligands by promoting an anti-inflammatory tumor microenvironment.

A highly immunosuppressive tumor microenvironment (TME) and the presence of the blood‒brain barrier are the two major obstacles to eliciting an effective immune response in patients with high-grade glioma (HGG). Here, we tried to enhance the local innate immune response in relapsed HGG by intracranially injecting poly(I:C) to establish a robust antitumor immune response in this registered clinical trial (NCT03392545). During the follow-up, 12/27 (44.4%) patients who achieved tumor control concomitant with survival benefit were regarded as responders in our study. We found that the T-cell receptor (TCR) repertoire in the TME was reshaped after poly(I:C) treatment. Based on the RNA-seq analysis of tumor samples, the expression of annexin A1 (ANXA1) was significantly upregulated in the tumor cells of nonresponders, which was further validated at the protein level. In vitro and in vivo experiments showed that ANXA1 could induce the production of M2-like macrophages and microglia via its surface receptor formyl peptide receptor 1 (FPR1) to establish a Treg cell-driven immunosuppressive TME and suppress the antitumor immune response facilitated by poly(I:C). The ANXA1/FPR1 signaling axis can inhibit the innate immune response of glioma patients by promoting an anti-inflammatory and Treg-driven TME. Moreover, ANXA1 could serve as a reliable predictor of response to poly(I:C), with a notable predictive accuracy rate of 92.3%. In light of these notable findings, this study unveils a new perspective of immunotherapy for gliomas.

scRNA-seq of gastric tumor shows complex intercellular interaction with an alternative T cell exhaustion trajectory.

The tumor microenvironment (TME) in gastric cancer (GC) has been shown to be important for tumor control but the specific characteristics for GC are not fully appreciated. We generated an atlas of 166,533 cells from 10 GC patients with matched paratumor tissues and blood. Our results show tumor-associated stromal cells (TASCs) have upregulated activity of Wnt signaling and angiogenesis, and are negatively correlated with survival. Tumor-associated macrophages and LAMP3+ DCs are involved in mediating T cell activity and form intercellular interaction hubs with TASCs. Clonotype and trajectory analysis demonstrates that Tc17 (IL-17+CD8+ T cells) originate from tissue-resident memory T cells and can subsequently differentiate into exhausted T cells, suggesting an alternative pathway for T cell exhaustion. Our results indicate that IL17+ cells may promote tumor progression through IL17, IL22, and IL26 signaling, highlighting the possibility of targeting IL17+ cells and associated signaling pathways as a therapeutic strategy to treat GC.

Carma3 Protects from Liver Injury by Preserving Mitochondrial Integrity in Liver Sinusoidal Endothelial Cells.

Carma3 is an intracellular scaffolding protein that can form complex with Bcl10 and Malt1 to mediate G protein-coupled receptor- or growth factor receptor-induced NF-κB activation. However, the in vivo function of Carma3 has remained elusive. Here, by establishing a Con A-induced autoimmune hepatitis model, we show that liver injury is exacerbated in Carma3 -/- mice. Surprisingly, we find that the Carma3 expression level is higher in liver sinusoidal endothelial cells (LSECs) than in hepatocytes in the liver. In Carma3 -/- mice, Con A treatment induces more LSEC damage, accompanied by severer coagulation. In vitro we find that Carma3 localizes at mitochondria and Con A treatment can trigger more mitochondrial damage and cell death in Carma3-deficient LSECs. Taken together, our data uncover an unrecognized role of Carma3 in maintaining LSEC integrity, and these results may extend novel strategies to prevent liver injury from toxic insults.

In Silico Identification of Anti-SARS-CoV-2 Medicinal Plants Using Cheminformatics and Machine Learning.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative pathogen of COVID-19, is spreading rapidly and has caused hundreds of millions of infections and millions of deaths worldwide. Due to the lack of specific vaccines and effective treatments for COVID-19, there is an urgent need to identify effective drugs. Traditional Chinese medicine (TCM) is a valuable resource for identifying novel anti-SARS-CoV-2 drugs based on the important contribution of TCM and its potential benefits in COVID-19 treatment. Herein, we aimed to discover novel anti-SARS-CoV-2 compounds and medicinal plants from TCM by establishing a prediction method of anti-SARS-CoV-2 activity using machine learning methods. We first constructed a benchmark dataset from anti-SARS-CoV-2 bioactivity data collected from the ChEMBL database. Then, we established random forest (RF) and support vector machine (SVM) models that both achieved satisfactory predictive performance with AUC values of 0.90. By using this method, a total of 1011 active anti-SARS-CoV-2 compounds were predicted from the TCMSP database. Among these compounds, six compounds with highly potent activity were confirmed in the anti-SARS-CoV-2 experiments. The molecular fingerprint similarity analysis revealed that only 24 of the 1011 compounds have high similarity to the FDA-approved antiviral drugs, indicating that most of the compounds were structurally novel. Based on the predicted anti-SARS-CoV-2 compounds, we identified 74 anti-SARS-CoV-2 medicinal plants through enrichment analysis. The 74 plants are widely distributed in 68 genera and 43 families, 14 of which belong to antipyretic detoxicate plants. In summary, this study provided several medicinal plants with potential anti-SARS-CoV-2 activity, which offer an attractive starting point and a broader scope to mine for potentially novel anti-SARS-CoV-2 drugs.

Knockout of immunotherapy prognostic marker genes eliminates the effect of the anti-PD-1 treatment.

The efficacy of immunotherapy is largely patient-specific due to heterogeneity in tumors. Combining statistic power from a variety of immunotherapies across cancer types, we found four biological pathways significantly correlated with patient survival following immunotherapy. The expression of immunotherapy prognostic marker genes (IPMGs) in these pathways can predict the patient survival with high accuracy not only in the TCGA cohort (89.36%) but also in two other independent cohorts (80.91%), highlighting that the activity of the IPMGs can reflect the sensitivity of the tumor immune microenvironment (TIME) to immunotherapies. Using mouse models, we show that knockout of one of the IPMGs, MALT1, which is critical for the T-cell receptor signaling, can eliminate the antitumor effect of anti-PD-1 treatment completely by impairing the activation of CD8+ T cells. Notably, knockout of another IPMG, CLEC4D, a C-type lectin receptor that expressed on myeloid cells, also reduced the effect of anti-PD-1 treatment potentially through maintaining the immunosuppressive effects of myeloid cells. Our results suggest that priming TIME via activating the IPMGs may increase the response rate and the effect of immune checkpoint blockers.

Malt1 Protease Is Critical in Maintaining Function of Regulatory T Cells and May Be a Therapeutic Target for Antitumor Immunity.

The paracaspase Malt1 is a key molecule in mediating Ag receptor-induced NF-κB activation in lymphocytes, but the role of Malt1 in the function of regulatory T (Treg) cells is still unclear. In this article, we reported that specific deletion of Malt1 in Treg cells would lead to Scurfy-like lethal autoimmune disease, which was caused by Treg cell dysfunction but not number loss. Interestingly, Foxp3CreMalt1fl/C472A mice, in which Malt1 protease was specifically inactivated in Treg cells, also displayed spontaneous inflammatory disorders, with severe hair loss and skin hyperplasia. Consistently, Foxp3CreMalt1fl/C472A mice showed enhanced antitumor response because of their decreased function and infiltration of Treg cells, as well as reduced CD8+ T cell exhaustion. Gene expression profiling analysis revealed dysregulated expression pattern of Treg effector genes upon Malt1 deletion or its protease inactivation. Together, our data unraveled a critical role of Malt1, especially its protease activity, in maintaining homeostasis and function of Treg cells.