Identification and validation of the surface proteins FIBG, PDGF-ß, and TGF-ß on serum extracellular vesicles for non-invasive detection of colorectal cancer: experimental study.

OBJECTIVES: The absence of non-invasive biomarkers for the early diagnosis of colorectal cancer (CRC) has contributed to poor prognosis. Extracellular vesicles (EVs) have emerged as promising candidates for cancer monitoring using liquid biopsy. However, the complexity of EVs isolation procedures and absence of clear targets for detecting serum-derived EVs have hindered the clinical application of EVs in early CRC diagnosis. METHODS: In the discovery phase, we conducted a comprehensive 4D-DIA proteomic analysis of serum-derived EVs samples from 37 individuals, performing an initial screening of EVs surface proteins. In the technical validation phase, we developed an extraction-free CRC-EVArray microarray to assess the expression of these potential EVs surface proteins in a multicenter study comprising 404 individuals. In the application phase, we evaluated the diagnostic efficacy of the CRC-EVArray model based on machine-learning algorithms. RESULTS: Through 4D-DIA proteomic analysis, we identified 7 potential EVs surface proteins showing significantly differential expression in CRC patients compared to healthy controls. Utilizing our developed high-throughput CRC-EVArray microarray, we further confirmed the differential expression of 3 EVs surface proteins, FIBG, PDGF-ß and TGF-ß, in a large sample population. Moreover, we established an optimal CRC-EVArray model using the NNET algorithm, demonstrating superior diagnostic efficacy with an AUC of 0.882 in the train set and 0.937 in the test set. Additionally, we predicted the functions and potential origins of these EVs-derived proteins through a series of multi-omics approaches. CONCLUSIONS: Our systematic exploration of surface protein expression profiles on serum-derived EVs has identified FIBG, PDGF-ß, and TGF-ß as novel diagnostic biomarkers for CRC. And the development of CRC-EVArray diagnostic model based on these findings provided an effective tool for the large-scale CRC screening, thus facilitating its translation into clinical practice.

Extracellular vesicles-derived CXCL4 is a candidate serum tumor biomarker for colorectal cancer.

Extracellular vesicles (EVs) were promising circulating biomarkers for multiple diseases, but whether serum EVs-derived proteins could be used as a reliable tumor biomarker for colorectal cancer (CRC) remained inconclusive. In this study, we identified CXCL4 by a 4D data-independent acquisition-based quantitative proteomics assay of serum EVs-derived proteins in 40 individuals and subsequently analyzed serum EVs-derived CXCL4 levels by ELISA in 2 cohorts of 749 individuals. The results revealed that EVs-derived CXCL4 levels were dramatically elevated in CRC patients than in benign colorectal polyp patients or healthy controls (HC). Furthermore, receiver operating characteristic curves revealed that EVs-derived CXCL4 exhibited superior diagnostic performance with area under the curve of 0.948 in the training cohort. Additionally, CXCL4 could effectively distinguish CRC in stage I/II from HC. Notably, CRC patients with high levels of EVs-derived CXCL4 have shorter 2-year progression-free survival than those with low levels. Overall, our findings demonstrated that serum EVs-derived CXCL4 was a candidate diagnostic and prognostic biomarker for CRC.

COP9 signalosome complex is a prognostic biomarker and corresponds with immune infiltration in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is among the most common deadly tumors but still lacks specific biomarkers for diagnosis, prognosis, and treatment guidance. The COP9 signalosome (COPS) is an essential regulator of the ubiquitin conjugation pathway upregulated in various cancers. We evaluated the contributions of COPS subunits to HCC tumorigenesis and their utility for prognosis. We comprehensively evaluated the tumor expression pattern and tumorigenic functions of COPS subunits using The Cancer Genome Atlas (TCGA), The Human Protein Atlas and immunohistochemistry. Kaplan-Meier, Cox regression, ROC curve, and nomogram analyses were used to assess the predictive values of COPS subunits for clinical outcome. Expression levels of COPS subunits were significantly upregulated in HCC tissues, which predicted shorter overall survival (OS). Further, Cox regression analysis identified COPS5, COPS7B, and COPS9 as independent prognostic biomarkers for OS. High mutation rates were also found in COPS subunits. Functional network analysis indicated that COPS and neighboring genes regulate 'protein neddylation', 'protein deneddylation', and 'protein ubiquitination'. The COPS PPI included strong interactions with p53, CUL1/2/3/4, and JUN. Moreover, the correlations between COPS subunit expression levels and tumor immune cell infiltration rates were examined using TIMER, TISIDB, ssGSEA, and ESTIMATE packages. COPS subunits expression levels were positively correlated with specific tumor immune cell infiltration rates, immunoregulator expression levels, and microsatellite instability in HCC. Finally, knockout of COPS6 and COPS9 in HCC cells reduced while overexpression enhanced proliferation rate and metastasis capacity. Our study revealed that COPS potential biomarker for unfavorable HCC prognosis and indicators of immune infiltration, tumorigenicity, and metastasis.

A novel immune-related gene signature correlated with serum IL33 expression in acute myeloid leukemia prognosis.

PURPOSE: To identify and validate the immune-related gene signature in patients with acute myeloid leukemia (AML). METHODS: Differentially expressed genes (DEGs) profiles and survival data were obtained from The Cancer Genome Atlas (TCGA), following screened immune-associated genes from the InnateDB database. Subsequently, the weighted gene co-expression network analysis (WGCNA) was used to detect functional modules, and survival analysis was performed. The least absolute shrinkage and selection operator (LASSO) regression model combined with a partial likelihood-based Cox proportional hazard regression model was applied to select prognostic genes, and the ESTIMATE algorithm was used to construct an immune score-based risk assessment model. Finally, two independent datasets from the Gene Expression Omnibus (GEO) and our clinical data were used for external validation. Moreover, a subpopulation of the immune microenvironment cells was analyzed by the CIBERSORT algorithm, and its related serum indicator was identified by the enzyme-linked immunosorbent assay (ELISA) in clinical samples. RESULTS: Finally, CTSD, GNB2, CDK6, and WAS were identified as the immune-related gene signature, and the risk stratification model was validated in both the GSE12417 database and our clinical cohort. Furthermore, the fraction of activated mast cells was identified. CIBERSORT algorithm showed that these cells have a positive association with prognosis. In addition, mast cell stimulator IL-33 was markedly decreased in AML patients with poor prognoses. CONCLUSION: A novel immune-related gene signature (CTSD, GNB2, CDK6 and WAS) and its associated plasma indicator (mast cells activator, IL-33) were found to have prognostic value in AML patients.

Inhibition of extranodal NK/T-cell lymphoma by Chiauranib through an AIF-dependent pathway and its synergy with L-asparaginase.

Extranodal NK/T-cell lymphoma (NKTL) is a rare and aggressive form of extranodal lymphoma with a poor prognosis. Currently, there are very limited treatment options for patients with advanced-stage disease or those with relapsed/recurrent disease. Here we show that Chiauranib, an orally small molecule inhibitor of select serine-threonine kinases (aurora B, VEGFRs, PDGFR, CSF1R, c-Kit), inhibited NKTL cell proliferation, induced cell cycle arrest, as well as suppressed the microvessel density in vitro and in vivo similar as in other types of cancer cells. Surprisingly, Chiauranib unfolded a new effect to induce apoptosis of NKTL cells by triggering AIF-dependent apoptosis other than the traditional cyt-c/caspase mitochondrial apoptosis pathway. The knockdown of AIF in vitro and in vivo dramatically blocked the efficacy of Chiauranib on NKTL. Mechanistically, the release of AIF from mitochondria is due to the upregulation of VDAC1 by the AKT-GSK3ß pathway and activation of calcium-dependent m-calpain, which promotes the cleavage of VDAC1 and therefore permits the release of AIF. Notably, the low expression of Bax in both NKTL cells and patient tissues restrained the cyt-c release. It resulted in the inhibition of cyt-c/caspase mitochondrial pathway, suggesting that drugs targeting this traditional pathway may not be effective in NKTL. Furthermore, we found that L-asparaginase triggered CD95 (Fas/Apo-1)-caspase 8-caspase 3 apoptotic pathway in NKTL cells, and combination of Chiauranib and L-asparaginase exhibited a synergistic effect, suggesting a feasibility to combine these two drugs for effective treatment of NKTL. This study demonstrates Chiauranib's positive efficacy toward NKTL through the activation of the AIF-dependent apoptosis pathway for the first time. The novel and multi-targets of Chiauranib and the synergistic effect with L-asparaginase may provide a promising therapy for NKTL patients.

N-cadherin cleavage: A critical function that induces diabetic retinopathy fibrosis via regulation of ß-catenin translocation.

Retinal fibrosis is a severe pathological change in the late stage of diabetic retinopathy and is also the leading cause of blindness. We have previously revealed that N-cadherin was significantly increased in type 1 and type 2 diabetic mice retinas and the fibrovascular membranes from proliferative diabetic retinopathy (PDR) patients. However, whether N-cadherin directly induces retinal fibrosis in DR and the related mechanism is unknown. Here, we investigated the pathogenic role of N-cadherin in mediating retinal fibrosis and further explored the relevant therapeutic targets. We found that the level of N-cadherin was significantly increased in PDR patients and STZ-induced diabetic mice and positively correlated with the fibrotic molecules Connective Tissue Growth Factor (CTGF) and fibronectin (FN). Moreover, intravitreal injection of N-cadherin adenovirus significantly increased the expression of FN and CTGF in normal mice retinas. Mechanistically, overexpression of N-cadherin promotes N-cadherin cleavage, and N-cadherin cleavage can further induce translocation of non-p-ß-catenin in the nucleus and upregulation of fibrotic molecules. Furthermore, we found a novel N-cadherin cleavage inhibitor, pigment epithelial-derived factor (PEDF), which ameliorated the N-cadherin cleavage and subsequent retinal fibrosis in diabetic mice. Thus, our findings provide novel evidence that elevated N-cadherin level not only acts as a classic EMT maker but also plays a causative role in diabetic retinal fibrosis, and targeting N-cadherin cleavage may provide a strategy to inhibit retinal fibrosis in DR patients.

5-Methylcytosine (m5C) modification in peripheral blood immune cells is a novel non-invasive biomarker for colorectal cancer diagnosis.

Current non-invasive tumor biomarkers failed to accurately identify patients with colorectal cancer (CRC), delaying CRC diagnosis and thus leading to poor prognosis. Dysregulation of 5-Methylcytosine (m5C) RNA has gradually been reported in various cancers, but their role in tumor diagnosis is rarely mentioned. Our study aimed to determine the role of m5C methylation modification in blood immune cells for the diagnosis of CRC. Peripheral blood samples were obtained from a total of 83 healthy controls and 196 CRC patients. We observed that m5C RNA contents in blood immune cells of CRC patients were markedly enhanced in both training set and validation set. Moreover, levels of m5C increased with CRC progression and metastasis but reduced after treatment. Compared with common blood tumor biomarkers, m5C levels in peripheral blood immune cells had superior discrimination and reclassification performance in diagnosing CRC. Besides, bioinformatics and qRT-PCR analysis identified increased expression of m5C-modified regulators NSUN5 and YBX1 in CRC patients' blood. A series of animal models and cell co-culture models further demonstrated that CRC tumor cells could increase immune cells' m5C levels and m5C-modified regulators. Monocyte was the predominant m5C-modified immune cell type in CRC patients' blood by Gene set variation analysis (GSVA). Taken together, m5C methylation modification in peripheral blood immune cells was a promising biomarker for non-invasive diagnosis of CRC.

Expression level and prognostic potential of beta-catenin-interacting protein in acute myeloid leukemia.

Inhibitor of beta-catenin and TCF (ICAT) is a key protein in the Wnt-ß-catenin signaling pathway. However, its role in acute myeloid leukemia (AML) remains unknown. In this study, we evaluated its expression level as well as its prognostic value in AML patients. A total of 72 patients with AML and 30 control subjects were enrolled in this study during the period of January 2017 and December 2019 at Zhongshan Hospital of SunYat-sen University. ICAT and ß-catenin expression levels in peripheral blood were determined via enzyme-linked immunosorbent assays. ICAT levels in AML patients were significantly lower and ß-catenin levels were higher than those of the control group. After the first course of standard chemotherapy, the concentration of ICAT in the partial remission group (93.79 ng/mL) was significantly higher than that in the initial diagnosis group (49.38 ng/mL) and the no response group (39.94 ng/mL). AML subtypes had lower ICAT expression levels than controls, and ICAT levels were significantly correlated with body mass index, bone marrow/peripheral blood blast cell proportions, and white blood cell and red blood cell counts at initial diagnosis. Furthermore, low ICAT expression was found to be associated with poor disease-free survival and overall survival in AML. ICAT is closely associated with AML progression and can be used as an indicator to monitor AML treatment efficacy.

In situ signal amplification improves the capture efficiency of circulating tumor cells with low expression of EpCAM.

Circulating tumor cells (CTCs) as non-invasive biomarkers have great potential in evaluating tumor progression and prognosis. However, effective enrichment of CTCs and minimizing phenotypic bias remain a serious challenge. Herein, a DNA tetrahedron-aptamer complex-mediated rolling circle amplification (TDN-RCA) strategy is developed for cell surface protein signal amplification and CTC enrichment, employing DNA tetrahedron-EpCAM aptamer complex as a scaffold and initiating rolling circle amplification (RCA) reaction on the surface of CTCs in situ. The DNA tetrahedron-aptamer complex enables the cell-specific recognition and enhances cell membrane anchoring ability, generating a large number of magnetic beads binding sites through the RCA reaction in situ. Thus, the signals of cell surface markers with low expression levels are amplified in situ and then efficient CTC enrichment is achieved. This method improves the capture efficiency of CTCs with low expression of EpCAM, which has great potential in clinical application.

Establishment of tumor protein p53 mutation-based prognostic signatures for acute myeloid leukemia.

PURPOSE: The tumor protein p53 gene (TP53) mutations are associated with poor prognosis of patients with acute myeloid leukemia (AML). This study aimed to establish TP53 mutation-based prognostic risk signatures. PATIENTS AND METHODS: The transcriptomes and clinical characteristics of AML patients were acquired from The Cancer Genome Atlas database, including 11 TP53-mutant samples and 114 TP53-wildtype samples. Differentially expressed mRNAs and long non-coding RNAs (lncRNA) in TP53-mutant samples were identified. Weighted gene correlation network analysis was performed to generate survival-associated co-expression modules. LASSO regression analysis was conducted to build mRNA- and lncRNA-based prognostic risk signatures. Kaplan-Meier curve analysis and multivariate regression analysis were carried out to assess the prognostic values of the risk signatures. Receiver operating characteristic (ROC) analysis was performed to evaluate the accuracy of the signatures. RESULTS: Based on the co-expression modules, a 5-mRNA risk signature and a 13-lncRNA risk signature were constructed to predict the overall survival for AML patients. Kaplan-Meier curves revealed that the high-risk patients had significantly shorter overall survival than the low-risk patients. ROC analysis yielded 1-, 3-, and 5-year AUCs of 0.681, 0.783, and 0.827 for mRNA signature and 0.85, 0.835, and 0.908 for lncRNA signature. Multivariate regression analysis revealed that both mRNA (HR = 1.45, P< 0.001) and lncRNA (HR = 1.19, P< 0.001) risk scores were independent prognostic factors for AML patients. CONCLUSION: We provided a potential patients stratification tool for AML prognosis prediction and management, which established by effective TP53 mutation-related gene signatures.

The role of cyclic GMP-AMP synthase and Interferon-I-inducible protein 16 as candidatebiomarkers of systemic lupus erythematosus.

BACKGROUND: Diverse clinical and serological manifestations of systemic lupus erythematosus (SLE) compromise its diagnosis and treatment. A more reliable biomarker for SLE, which can play a critical role in either diagnosis, monitoring the disease progress or evaluating the response to treatment for individualized therapeutic, is necessary. DNA sensor is an important mediator of inflammation in systemic autoimmune diseases. However, the potential role for DNA sensor as disease activity biomarkers for SLE remained obscure. We detected the aberrant activation of DNA sensors and the corresponding IFN-ß response in SLE patients, and to evaluate their potential role as disease biomarkers for SLE. METHODS: We quantified the expressions of IFN-I and DNA sensor, such as cGAS, IFI16, DDX41, DAI and their down-stream adaptor STING in PBMC derived from patients with SLE (n = 100), healthy controls (HCs) (n = 62) by real-time PCR. The relationships between the expression of cGAS or IFI16 and clinical features in SLE patients were investigated. ROC curve analysis was performed to examine the predictive value of cGAS and IFI16 in SLE diagnosis, disease activity monitoring, specific organ manifestation and therapeutic response. RNA interference-mediated depletion of IFI16 or cGAS was conducted to evaluate their impact on IFN-I response. RESULTS: The expressions of cGAS and IFI16 were significantly higher in PBMC from SLE patients, closely correlated with the SLEDAI scores and high anti-dsDNA antibody titers. While the AUC for cGAS (0.767) was less than that of IFI16 and IFN-ß, the AUC for IFI16 (0.856) and IFN-ß (0.856) were similar. Expression of cGAS and IFI16 combine with IFN-ß in PBMC showed high sensitivity (89.2%) and specificity (89.1%) for discrimination between mild and moderate/severe disease activity in SLE. Higher expression of IFI16 was association with ocular disorder in SLE patients. Neither IFI16 nor cGAS was a reliable indicator of therapeutic response. RNA interference-mediated depletion of IFI16 or cGAS prevented active SLE serum-induced upregulating in both IFN-α and IFN-ß. CONCLUSIONS: High expression levels of cGAS and IFI16 in PBMC from SLE patients correlated strongly with disease activity. Both cGAS and IFI16 mediated signaling pathway were account for the robust production of IFN-ß. Expression of cGAS and IFI16 combined with IFN-ß in PBMC might serve as potential biomarkers for early diagnosis and monitoring disease activity in SLE.

Elevated N6-Methyladenosine RNA Levels in Peripheral Blood Immune Cells: A Novel Predictive Biomarker and Therapeutic Target for Colorectal Cancer.

Effective biomarkers for the diagnosis of colorectal cancer (CRC) are essential for improving prognosis. Imbalance in regulation of N6-methyladenosine (m6A) RNA has been associated with a variety of cancers. However, whether the m6A RNA levels of peripheral blood can serve as a diagnostic biomarker for CRC is still unclear. In this research, we found that the m6A RNA levels of peripheral blood immune cells were apparently elevated in the CRC group compared with those in the normal controls (NCs) group. Furthermore, the m6A levels arose as CRC progressed and metastasized, while these levels decreased after treatment. The area under the curve (AUC) of the m6A levels was 0.946, which was significantly higher than the AUCs for carcinoembryonic antigen (CEA; 0.817), carbohydrate antigen 125 (CA125; 0.732), and carbohydrate antigen 19-9 (CA19-9; 0.771). Moreover, the combination of CEA, CA125, and CA19-9 with m6A levels improved the AUC to 0.977. Bioinformatics and qRT-PCR analysis further confirmed that the expression of m6A modifying regulator IGF2BP2 was markedly elevated in peripheral blood of CRC patients. Gene set variation analysis (GSVA) implied that monocyte was the most abundant m6A-modified immune cell type in CRC patients' peripheral blood. Additionally, m6A modifications were negatively related to the immune response of monocytes. In conclusion, our results revealed that m6A RNA of peripheral blood immune cells was a prospective non-invasive diagnostic biomarker for CRC patients and might provide a valuable therapeutic target.

High Expression of PKM2 Was Associated with the Poor Prognosis of Acute Leukemia.

PURPOSE: To explore the clinical significance of plasma pyruvate kinase M2 (PKM2) in assessing the incidence and prognosis of acute leukemia. METHODS: Plasma samples from 56 acute myeloid leukemia (AML) patients, 40 acute lymphoblastic leukemia (ALL) patients, and 66 plasma samples from healthy individuals were collected. The level of plasma PKM2 was detected by enzyme-linked immunosorbent assay. The clinical significance of PKM2 in acute leukemia was assessed by analyzing receiver operating characteristic and survival curves. RESULTS: The plasma levels of PKM2 in AML or ALL patients were significantly higher than those in healthy individuals, respectively. PKM2 can be used as a potential diagnostic index with the AUC of 0.827 for AML and 0.837 for ALL. The level of plasma PKM2 in ALL patients with a BCR/ABL-positive genotype was significantly higher than that in patients with a BCR/ABL-negative genotype (p<0.05). The event-free survival and the overall survival of acute leukemia patients with higher PKM2 expression was worse than those with lower PKM2 expression. CONCLUSION: This study showed that higher levels of PKM2 was negatively correlated with the prognosis of acute leukemia. Therefore, PKM2 can be used as a potential index to assess the incidence and prognosis of acute leukemia.

FUBP1 promotes colorectal cancer stemness and metastasis via DVL1-mediated activation of Wnt/ß-catenin signaling.

Distant metastasis is, unfortunately, the leading cause of death in colorectal cancer (CRC). Approximately 50% of CRC patients develop liver metastases, while 10-30% of patients develop pulmonary metastases. The occurrence of metastasis is considered to be almost exclusively driven by cancer stem cells (CSCs) formation. However, the key molecules that confer the transformation to stem cells in CRC, and subsequent metastasis, remain unclear. Far upstream element-binding protein 1 (FUBP1), a transcriptional regulator of c-Myc, was screened in CSCs of CRC by mass spectrometry and was examined by immunohistochemistry in a cohort of CRC tissues. FUBP1 was upregulated in 85% of KRAS-mutant and 25% of wild-type CRC patients. Further, whether in KRAS-mutant or wild-type patients, elevated FUBP1 was positively correlated with CRC lymph node metastasis and clinical stage, and negatively associated with overall survival. Overexpression of FUBP1 significantly enhanced CRC cell migration, invasion, tumor sphere formation, and CD133 and ALDH1 expression in vitro, and tumorigenicity in vivo. Mechanistically, FUBP1 promoted the initiation of CSCs by activating Wnt/ß-catenin signaling via directly binding to the promoter of DVL1, a potent activator of ß-catenin. Knockdown of DVL1 significantly inhibited the transformation to stem cells in, as well as the tumorigenicity of, CRC. Activation of Wnt/ß-catenin signaling by DVL1 increased pluripotent transcription factors, including c-Myc, NANOG, and SOX2. Moreover, FUBP1 was upregulated at the post-transcriptional level. Elevated FUBP1 levels in KRAS wild-type CRC patients is due to the decrease in Smurf2, which promotes ubiquitin-mediated degradation of FUBP1. In contrast, FUBP1 was upregulated in KRAS-mutant patients through both inhibition of caspase 3-dependent cleavage and decreased Smurf2. Our results demonstrate, for the first time, that FUBP1 is an oncogene, initiating the development of CSCs, as well as a new powerful endogenous Wnt-signaling agonist that could provide an important prognostic factor and therapeutic target for metastasis in both KRAS-mutant and wild-type CRC.

Vitamin D promotes autophagy in AML cells by inhibiting miR-17-5p-induced Beclin-1 overexpression.

MicroRNA (miR)-17-5p has been investigated in many diseases as a regulator of disease progression and is highly expressed in acute myeloid leukemia (AML). However, potential mechanisms underlying the function of miR-17-5p in AML need more elucidation. MiR-17-5p expression was augmented, while 25(OH)D3 and Beclin-1 levels were decreased in AML patients with the highest risk for disease progression. MiR-17-5p, 25(OH)D3 and Beclin-1 were determined to be clinically important in AML based on ROC curve analysis. Higher miR-17-5p expression as well as lower 25(OH)D3 and Beclin-1 expression were relevant with poor prognosis in AML. In addition, miR-17-5p was negatively correlated with and bound to BECN1. Vitamin D was found to diminish cell proliferation and enhance autophagy. Finally, through rescue assays, miR-17-5p facilitated the ability of cell proliferation, inhibited autophagy and apoptosis by modulating Beclin-1 in HL-60 cells following the treatment of 4 µM vitamin D. Vitamin D promoted autophagy in AML cells by modulating miR-17-5p and Beclin-1.

Identification of key genes and pathways in discoid lupus skin via bioinformatics analysis.

ABSTRACT: Discoid lupus erythematosus (DLE) is the most common skin manifestation of lupus; however, the molecular mechanisms underlying DLE remain unknown. Therefore, we aimed to identify key differentially expressed genes (DEGs) in discoid lupus skin and investigate their potential pathways.To identify candidate genes involved in the occurrence and development of the disease, we downloaded the microarray datasets GSE52471 and GSE72535 from the Gene Expression Database (GEO). DEGs between discoid lupus skin and normal controls were selected using the GEO2R tool and Venn diagram software (http://bioinformatics.psb.ugent.be/webtools/Venn/). The Database for Annotation, Visualization, and Integrated Discovery (DAVID), Enrichr, and Cytoscape ClueGo were used to analyze the Kyoto Encyclopedia of Gene and Genome pathways and gene ontology. Protein-protein interactions (PPIs) of these DEGs were further assessed using the Search Tool for the Retrieval Interacting Genes version 10.0.Seventy three DEGs were co-expressed in both datasets. DEGs were predominantly upregulated in receptor signaling pathways of the immune response. In the PPI network, 69 upregulated genes were selected. Furthermore, 4 genes (CXCL10, ISG15, IFIH1, and IRF7) were found to be significantly upregulated in the RIG-I-like receptor signaling pathway, from analysis of Enrichr and Cytoscape ClueGo.The results of this study may provide new insights into the potential molecular mechanisms of DLE. However, further experimentation is required to confirm these findings.

Research on improved evidence theory based on multi-sensor information fusion.

In view of the lack of effective information fusion model for heterogeneous multi-sensor, an improved Dempster/Shafer (DS) evidence theory algorithm is designed to fuse heterogeneous multi-sensor information. The algorithm first introduces the compatibility coefficient to characterize the compatibility between the evidence, obtains the weight matrix of each proposition, and then redistributes the basic probability distribution of each focal element to obtain a new evidence source. Then the concept of credibility is introduced, and the average support of evidence credibility and evidence focal element is used to improve the synthesis rule, so as to obtain the fusion result. Compared with other algorithms, the proposed algorithm can solve the problems existing in DS evidence theory when dealing with highly conflicting evidence to a certain extent, and the fusion results are more reasonable and the convergence speed is faster.

Diagnosing acute promyelocytic leukemia by using convolutional neural network.

PURPOSE: To evaluate the efficacy of diagnosis systems based upon instance segmentation with convolutional neural networks (CNNs) for diagnosing acute promyelocytic leukemia (APL) in bone marrow smear images. MATERIALS AND METHODS: A self-established dataset was used in this study that was exempted from review by the institution review board, which consisted of 13,504 bone marrow smear images. One subset of the dataset with 12,215 labeled images was split into training (80%) and validation (20%), another with 1289 labeled images was used to test, in which each test entry consists of about 130 images. An instance segmentation method named Mask R-CNN was used to detect and classify the nucleated cells. Here, we train a trained neural network from scratch; for comparison, we also use a network pre-trained on MS COCO (common objects in context, a data set provided by Microsoft which can be used for image recognition, the images in MS coco dataset are divided into training, validation and test sets) and fine-tuned with our dataset and both were trained with same data augmentation scheme. Diagnosis systems based on trained models and "FAB Classification" (French-American-British classification systems, a series of diagnostic criteria for acute leukemia, which was first proposed in 1976) were developed for diagnosing the test entry as APL or as not. Average precision (AP) and average recall (AR) were used to evaluate model performance. RESULTS: The best-performing model had an average precision of 62.5%, which was the augmented pre-trained Mask R-CNN with average recall 84.1%. The average precision of the pre-trained model was greater than that of the model trained from scratch (P < 0.05). Augmenting the dataset further increased accuracy (P < 0 0.03). CONCLUSION: Deep learning technology such as instance segmentation with Mask R-CNN may accurately diagnose APL in bone marrow smear images with an average precision of 62.5% when 0.5 as IoU thresholds. A data augmentation and pre-trained approach further improved accuracy.

Long Non-Coding RNA ZNF667-AS1 Knockdown Curbs Liver Metastasis in Acute Myeloid Leukemia by Regulating the microRNA-206/AKAP13 Axis.

BACKGROUND: Zinc finger protein 667-antisense RNA 1 (ZNF667-AS1), a long non-coding RNA (lncRNA), plays important parts in tumorigenesis and development of esophageal squamous cell carcinoma, but its function in acute myeloid leukemia (AML) is unknown. Our goal here was to probe the functional mechanism of ZNF667-AS1 in AML by mediating microRNA-206 (miR-206)/A-kinase anchoring protein 13 (AKAP13) axis. MATERIALS AND METHODS: The bone marrow samples from AML patients and controls were selected for microarray analysis to select significantly upregulated lncRNAs. Next, effects of ZNF667-AS1 on cell aggressiveness of AML were assessed after delivery of cells with siRNA against ZNF667-AS1. Subcellular fractionation location assay and FISH experiments were used to determine ZNF667-AS1 localization in cells. Dual-luciferase experiments detect the targeting relationships among ZNF667-AS1, miR-206 and AKAP13. Finally, tumor growth and metastasis were evaluated in vivo to determine the relevance of ZNF667-AS1/miR-206/AKAP13 axis. RESULTS: The expression of ZNF667-AS1 was upregulated in AML patients, which predicted poor prognosis. Downregulation of ZNF667-AS1 reduced cell proliferation, invasion, tumorigenesis and metastasis. miR-206 inhibitor reversed the repressive role of ZNF667-AS1 knockdown in cell proliferation, invasion and tumorigenesis, while AKAP13 silencing flattened the stimulative role of miR-206 inhibitor in AML malignant aggressiveness. Mechanistically, we demonstrated that ZNF667-AS1 functioned as a molecular sponge for miR-206. In addition, we observed that Wnt/ß-catenin pathway was suppressed by ZNF667-AS1 knockdown. CONCLUSION: ZNF667-AS1 potentiated AML progression by targeting the miR-206/AKAP13 axis. This indicates ZNF667-AS 1 inhibition may act as a prospective therapeutic option for the treatment of AML.