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BACKGROUND: Prolonged interferon-γ signaling activation induces cancer resistance to therapeutics, especially immunotherapy. However, the detailed mechanisms are not well characterized. In present study, we explored cancer intrinsic resistant mechanisms employing for evading immune checkpoint blockade (ICB) and searched for key immune checkpoints contributing to the constitution of suppressive immune microenvironment of glioblastoma (GBM). METHODS: We screened key immune checkpoint (IC) associated with IFN signaling activation in GBM according to integrated transcriptomic profiling on the ICs. Expression analysis and functional assays revealed that malignant cells elevated the key IC, TNFRSF14 expression under IFN-γ stimulation, which enhanced their proliferation and in vivo tumorigenicity. Therapeutic efficiency of TNFRSF14 disruption in GBM was evaluated with in vitro and in vivo functional assays, including immunofluorescence, transwell, RT-qPCR, flow cytometry, mass cytometry, and mice preclinical GBM models. Moreover, the improvement of TNFRSF14 blockade on the efficacy of PD-L1 treatment was examined in mice intracranial xenograft bearing models. RESULTS: TNFRSF14, a previously poorly characterized IC, was disclosed as a checkpoint with malignant intrinsic elevation closely associated with type II not type I IFN signaling activation in GBM. Anti-PD-L1 treatment induces compensatory TNFRSF14 elevation, while enhancing IFN-γ production. TNFRSF14 phosphorylates FAK at Y397 and consequently activates NF-κB, which not only strengthens the tumorigenicity of GBM cells, but also enhances TAMs recruitment through elevating CXCL1/CXCL5 secretion from GBM cells. TNFRSF14 ablation reduces the tumorigenicity of GBM cells, reshapes the immunosuppressive microenvironment, and enhances therapeutic efficacy of anti-PD-L1 in mouse orthotopic GBM model. CONCLUSION: Our findings highlight a malignant TNFRSF14/FAK axis as a potential target to blunt cancer-intrinsic resistance to ICB treatment, which may help improve the therapeutic efficiency of immunotherapy in malignancies.
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Glioblastoma , Interferón gamma , Glioblastoma/metabolismo , Glioblastoma/patología , Glioblastoma/tratamiento farmacológico , Humanos , Animales , Ratones , Interferón gamma/metabolismo , Neoplasias Encefálicas/metabolismo , Neoplasias Encefálicas/patología , Neoplasias Encefálicas/tratamiento farmacológico , Progresión de la Enfermedad , Línea Celular Tumoral , Microambiente Tumoral , Ensayos Antitumor por Modelo de Xenoinjerto , Receptor de TWEAK/metabolismo , Receptor de TWEAK/genética , Transducción de SeñalRESUMEN
Objective: Nectin and nectin-like molecules (Necls) are molecules that are involved in cell-cell adhesion and other vital cellular processes. This study aimed to determine the expression and prognostic value of nectin and Necls in low grade glioma (LGG). Materials and Methods: Differentially expressed nectin and Necls in LGG samples and the relationship of nectin family and Necls expression with prognosis, clinicopathological parameters, and survival were explored using The Cancer Genome Atlas (TCGA), the Chinese Glioma Genome Atlas (CGGA), and Repository of Molecular Brain Neoplasia Data (REMBRANDT) databases. Univariate and multivariate Cox analysis models were performed to construct the prognosis-related gene signature. Kaplan-Meier curves and time-dependent receiver operating characteristic (ROC) curves and multivariate Cox regression analysis, were utilized to evaluate the prognostic capacity of the four-gene signature. Gene ontology (GO)enrichment analysis and Gene Set Enrichment Analyses (GSEA) were performed to further understand the underlying molecular mechanisms. The Tumor Immune Estimation Resource (TIMER) was used to explore the relationship between the four-gene signature and tumor immune infiltration. Results: Several nectin and Necls were differentially expressed in LGG. Kaplan-Meier survival analyses and Univariate Cox regression showed patients with high expression of NECTIN2 and PVR and low expression of CADM2 and NECTIN1 had worse prognosis among TCGA, CGGA, and REMBRANDT database. Then, a novel four-gene signature was built for LGG prognosis prediction. ROC curves, KM survival analyses, and multivariate COX regression indicated the new signature was an independent prognostic indicator for overall survival. Finally, GSEA and GO enrichment analyses revealed that immune-related pathways participate in the molecular mechanisms. The risk score had a strong negative correlation with tumor purity and data of TIMER showed different immune cell proportions (macrophage and myeloid dendritic cell) between high- and low-risk groups. Additionally, signature scores were positively related to multiple immune-related biomarkers (IL 2, IL8 and IFNγ). Conclusion: Our results offer an extensive analysis of nectin and Necls levels and a four-gene model for prognostic prediction in LGG, providing insights for further investigation of CADM2, NECTIN1/2, and PVR as potential clinical and immune targets in LGG.
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BACKGROUND: Despite the rise in the use of immune checkpoint blockade drugs (ICBs) in recent years, there are no ICB drugs that are currently approved or under large-scale clinical trials for glioblastoma (GBM). T-cells, which mainly mediate adaptive immunity, are an important part of the tumor immune microenvironment. The activation of T-cells in tumors plays a key role in evaluating the sensitivity of patients to immunotherapy. Therefore, we applied bioinformatics approaches to construct a T-cell activation related risk score to study the effect of the activation of T-cells on the prognosis and ICB response of patients with GBM. MATERIALS AND METHODS: This study collected TCGA, CGGA, and GSE16011 glioma cohorts, as well as the IMvigor210 immunotherapy dataset, with complete mRNA expression profiles and clinical information. GraphPad Prism 8 and R 3.6.3 were used for bioinformatics analysis and plotting. RESULTS: The activation of T-cells in patients with GBM is characterized by obvious heterogeneity. We established a T-cell activation-related risk score based on five univariate Cox regression prognostic genes (CD276, IL15, SLC11A1, TNFSF4, and TREML2) in GBM. The risk score was an independent risk factor for poor prognosis. The overall survival time of patients in the high-risk group was significantly lower than in the low-risk group. Moreover, the high-risk score was accompanied by a stronger immune response and a more complex tumor immune microenvironment. "Hot tumors" were mainly enriched in the high-risk group, and high-risk group patients highly expressed inhibitory immune checkpoints (PD1, PD-L1, TIM3 etc.). By combining the risk and priming scores we obtained the immunotherapy score, which was shown to be a good evaluation index for sensitivity to GBM immunotherapy. CONCLUSIONS: As an independent risk factor for poor prognosis, the T-cell activation-related risk score, combined with other clinical characteristics, could efficiently evaluate the survival of patients with GBM. The immunotherapy score obtained by combining the risk and priming scores could evaluate the ICB response of patients with GBM, providing treatment opportunities.
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Post-traumatic stress disorder (PTSD) is a stress-related mental disorder which occurs following exposure to traumatic events. A number of brain neuroimaging studies have revealed that PTSD patients have reduced volume and abnormal functions in the hippocampus and the amygdala. However, the pathogenesis of abnormalities in certain brain regions, as induced by PTSD, remains unclear. Recent studies, using the single prolonged stress (SPS) model, an animal model of PTSD, have found that abnormal apoptosis in certain brain regions, including the hippocampus, the amygdala, and the medial prefrontal cortex (mPFC); these areas are closely associated with emotion and cognition. In this review, we summarize the mechanism of apoptosis in SPS rats, including the endoplasmic reticulum (ER) and the mitochondria pathways. For the ER pathway, three individual pathways: PERK, IRE1, and ATF6 showed different roles on apoptosis and neuroprotection. Three key factors are thought to be involved in the mitochondrial pathway and PTSD-induced apoptosis: corticosteroid receptors, apoptosis-related factors, and anti-apoptosis factors. We have investigated the role of these factors and have attempted to identify which factors of the pathways are more focused towards neuronal protection, and which are more direct towards apoptosis. We also discussed the role of autophagy and the specific differences between autophagy and apoptosis in SPS rats. Finally, we discussed emerging researches related to anti-apoptosis treatment, including PERK inhibitors, IRE1 inhibitors, and metformin; collectively, these were exciting, but limited, This review provides a summary of the current understanding of apoptosis in SPS rats and the potential anti-apoptosis treatment strategies for PTSD.