A novel immunogenic cell death-related classification indicates the immune landscape and predicts clinical outcome and treatment response in acute myeloid leukemia.

BACKGROUND: Immunogenic cell death (ICD) is closely related to anti-tumor therapy and regulates the tumor microenvironment (TME). This study aims to explore the molecular characteristics of ICD in acute myeloid leukemia (AML) and to analyze the value of ICD-related biomarkers in TME indication, prognosis prediction, and treatment response evaluation in AML. METHODS: Single-sample gene set enrichment analysis was used to calculate the ICD score. LASSO regression was used to construct a prognostic risk score model. We also analyzed differences in clinical characteristics, immune landscape, immunotherapy response, and chemotherapy sensitivity between high-risk and low-risk patients. RESULTS: This study identified two ICD-related subtypes and found significant heterogeneity in clinical prognosis, TME, and immune landscape between different ICD subtypes. Subsequently, a novel ICD-related prognostic risk score model was developed, which accurately predicted the prognosis of AML patients and was validated in nine AML cohorts. Moreover, there were significant correlations between risk scores and clinicopathological factors, somatic mutations, TME characteristics, immune cell infiltration, immunotherapy response, and chemosensitivity. We further validated the model gene expression in a clinically real-world cohort. CONCLUSIONS: The novel ICD-related signatures identified and validated by us can serve as promising biomarkers for predicting clinical outcomes, chemotherapy sensitivity, and immunotherapy response in AML patients, guiding the establishment of personalized and accurate treatment strategies for AML.

Integrative analysis of the prognostic value and immune microenvironment of mitophagy-related signature for multiple myeloma.

BACKGROUND: Multiple myeloma (MM) is a fatal malignant tumor in hematology. Mitophagy plays vital roles in the pathogenesis and drug sensitivity of MM. METHODS: We acquired transcriptomic expression data and clinical index of MM patients from NCI public database, and 36 genes involved in mitophagy from the gene set enrichment analysis (GSEA) database. Least absolute shrinkage and selection operator (LASSO) Cox regression analysis was conducted to construct a risk score prognostic model. Kaplan-Meier survival analysis and receiver operation characteristic curves (ROC) were conducted to identify the efficiency of prognosis and diagnosis. ESTIMATE algorithm and immune-related single-sample gene set enrichment analysis (ssGSEA) was performed to uncover the level of immune infiltration. QRT-PCR was performed to verify gene expression in clinical samples of MM patients. The sensitivity to chemotherapy drugs was evaluated upon the database of the genomics of drug sensitivity in cancer (GDSC). RESULTS: Fifty mitophagy-related genes were differently expressed in two independent cohorts. Ten out of these genes were identified to be related to MM overall survival (OS) rate. A prognostic risk signature model was built upon on these genes: VDAC1, PINK1, VPS13C, ATG13, and HUWE1, which predicted the survival of MM accurately and stably both in training and validation cohorts. MM patients suffered more adverse prognosis showed more higher risk core. In addition, the risk score was considered as an independent prognostic element for OS of MM patients by multivariate cox regression analysis. Functional pathway enrichment analysis of differentially expressed genes (DEGs) based on risk score showed terms of cell cycle, immune response, mTOR pathway, and MYC targets were obviously enriched. Furthermore, MM patients with higher risk score were observed lower immune scores and lower immune infiltration levels. The results of qRT-PCR verified VDAC1, PINK1, and HUWE1 were dysregulated in new diagnosed MM patients. Finally, further analysis indicated MM patients showed more susceptive to bortezomib, lenalidomide and rapamycin in high-risk group. CONCLUSION: Our research provided a neoteric prognostic model of MM based on mitophagy genes. The immune infiltration level based on risk score paved a better understanding of the participation of mitophagy in MM.

PRMT1 methylation of WTAP promotes multiple myeloma tumorigenesis by activating oxidative phosphorylation via m6A modification of NDUFS6.

Epigenetic modifications play important roles during the pathogenesis of multiple myeloma (MM). Herein, we found that protein arginine methyltransferase 1 (PRMT1) was highly expressed in MM patients, which was positively correlated with MM stages. High PRMT1 expression was correlated with adverse prognosis in MM patients. We further showed that silencing PRMT1 inhibited MM proliferation and tumorigenesis in vitro and in vivo. Mechanistically, we revealed that the knockdown of PRMT1 reduced the oxidative phosphorylation (OXPHOS) of MM cells through NDUFS6 downregulation. Meanwhile, we identified that WTAP, a key component of the m6A methyltransferase complex, was methylated by PRMT1, and NDUFS6 was identified as a bona fide m6A target of WTAP. Finally, we found that the combination of PRMT1 inhibitor and bortezomib synergistically inhibited MM progression. Collectively, our results demonstrate that PRMT1 plays a crucial role during MM tumorigenesis and suggeste that PRMT1 could be a potential therapeutic target in MM.

Immune suppression reversal of the spleen: a promising strategy for improving the survival rate of sepsis in rats.

Evidence suggests that immune dysfunction exerts a central role in the morbidity and mortality of sepsis. As the spleen is the largest lymphatic tissue in the body, its influence on immune regulation during sepsis should be explored. In this study, we analysed the immune alterations of the spleen of septic rats and the effects of splenectomy at 6 h, 12 h, and 24 h following caecal ligation and puncture (CLP). Results showed declines in CD4+ T cells and elevations in lymphocyte apoptosis, the percentage of Treg cells, and inflammatory cytokine levels (TNF-α, IL-6, and IL-10) in the spleens of CLP-induced septic rats. Moreover, splenectomy improved the survival of septic rats and bacterial clearance from peripheral blood. CLP-induced apoptosis of lymphocytes and the decreased CD4+ T cell percentage in the peripheral blood could be reversed in splenectomy-treated rats. Splenectomy greatly decreased the number of white blood cells, lymphocytes, monocytes, neutrophils, and serum concentration of TNF-α and IL-10 after CLP. Moreover, splenectomy alleviated pathologic damage to the liver and lungs and weakened expression of CD163. These novel findings demonstrate that immune disorders of the spleen are important pathogenic factors during the course of severe sepsis. Splenectomy could alleviate apoptosis and reduction of lymphocytes induced by sepsis, and lower the level of inflammation in the body. Reversing the immune suppression of the spleen may be a novel strategy to improve sepsis survival.

Urinary metabolomic study of systemic lupus erythematosus based on gas chromatography/mass spectrometry.

Systemic lupus erythematosus (SLE) is an autoimmune disease with heterogeneous organ and system manifestations. In this study, urinary metabolic alterations related to SLE were investigated by performing gas chromatography/mass spectrometry (GC/MS) based metabolomics and multivariate statistical analysis. Patients with SLE and healthy controls could be clearly differentiated in view of the metabolic abnormity in urine. Among 70 identified endogenous metabolites, 23 metabolites were dramatically increased in SLE patients, which involved in several key metabolic pathways including energy metabolism, nucleotide metabolism, oxidative stress and gut-microbiome-derived metabolism. This noninvasive and GC/MS-based metabolomic technique is a promising and potent strategy for identifying novel biomarkers and understanding pathogenesis of SLE. Copyright © 2016 John Wiley & Sons, Ltd.

Serum metabolomic profiling in patients with systemic lupus erythematosus by GC/MS.

OBJECTIVES: The aim of this study is to characterize the serum metabolic profiles of patients with systemic lupus erythematosus (SLE) using metabolomics. METHODS: Serum samples were collected from patients with SLE (n = 80) and gender- and age-matched healthy controls (n = 57). Metabolite profiles were performed with gas chromatography-mass spectrometry in conjunction with multivariate statistical analysis, and possible biomarker metabolites were identified. RESULTS: SLE and disease severity-related metabolic phenotypes were identified in sera. Parameters of the metabolomic model were correlated with SLEDAI (SLE disease activity index) scores in SLE. The metabolic signature of SLE patients comprised metabolite changes associated with amino acid turnover or protein biosynthesis, saccharometabolism, lipid metabolism, and gut microbial metabolism. Disease activity-related alterations included glutamate, 2-hydroxyisobutyrate, citrate, glycerol, linoleic acid, and propylparaben metabolites. Parts of endogenous metabolites related to SLE had the relationship with serum immunological parameters and organ manifestations. Moreover, receiver operating characteristic curve analysis revealed a higher diagnosis accuracy of endogenous metabolites. CONCLUSIONS: Our study distinguished serum metabotypes associated with SLE and disease activities. The implementation of this metabolomic strategy may help to develop biochemical insight into the metabolic alterations in SLE.