Incidence of thromboembolic events in non-small cell lung cancer patients treated with immune checkpoint inhibitors: A systematic review and meta-analysis.

ABSTRACT: The incidence of thromboembolic events (TEs) in non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICIs) has rarely been reported. The MEDLINE, EMBASE, and the Cochrane Library databases were searched. The primary outcome was the incidence of TEs, and the secondary outcome was the relationship between TEs and overall survival (OS) following ICI therapy. A subgroup analysis of TE incidents was performed according to the TE type and combination regimens. The I2 statistic was used to determine the heterogeneity, and funnel plots and Egger's test were used to assess publication bias. A total of 16,602 patients with NSCLC in 63 experimental arms were included in the analysis. The rate of TEs ranged from 0.1% to 13.8%, and the pooled overall incidence of all-grade TEs was 3% (95% confidence interval [CI], 2%-4%). The pooled rate of high-grade TEs was 1% (95% CI, 1%-2%). The venous and arterial TE rates were 3% (95% CI, 2%-4%) and 1% (95% CI, 1%-2%), respectively. Patients who received immunotherapy + chemoradiotherapy had the highest incidence of TEs (7%). The TE pooled rate was higher in patients treated with combined ICIs than in those treated with mono ICIs (4% vs. 2%). The OS was lower in patients with TEs than in those without TEs (hazard ratio, 1.4; 95% CI, 1.02%-1.92%). The incidence of TEs in NSCLC patients treated with ICIs was reasonable. Nonetheless, clinicians must be aware of potential thrombotic complications and treat them promptly.

Identification of TNFRSF21 as an inhibitory factor of osteosarcoma based on a necroptosis-related prognostic gene signature and molecular experiments.

BACKGROUND: Osteosarcoma is one of the most common malignant bone tumors with bad prognosis. Necroptosis is a form of programmed cell death. Recent studies showed that targeting necroptosis was a new promising approach for tumor therapy. This study aimed to establish a necroptosis-related gene signature to evaluated prognosis and explore the relationship between necroptosis and osteosarcoma. METHODS: Data from The Cancer Genome Atlas was used for developing the signature and the derived necroptosis score (NS). Data from Gene Expression Omnibus served as validation. Principal component analysis (PCA), Cox regression, receiver operating characteristic (ROC) curves and Kaplan-Meier survival analysis were used to assess the performance of signature. The association between the NS and osteosarcoma was analyzed via gene set enrichment analysis, gene set variation analysis and Pearson test. Single-cell data was used for further exploration. Among the genes that constituted the signature, the role of TNFRSF21 in osteosarcoma was unclear. Molecular experiments were used to explore TNFRSF21 function. RESULTS: Our data revealed that lower NS indicated more active necroptosis in osteosarcoma. Patients with lower NS had a better prognosis. PCA and ROC curves demonstrated NS was effective to predict prognosis. NS was negatively associated with immune infiltration levels and tumor microenvironment scores and positively associated with tumor purity and stemness index. Single-cell data showed necroptosis heterogeneity in osteosarcoma. The cell communication pattern of malignant cells with high NS was positively correlated with tumor progression. The expression of TNFRSF21 was down-regulated in osteosarcoma cell lines. Overexpression of TNFRSF21 inhibited proliferation and motility of osteosarcoma cells. Mechanically, TNFRSF21 upregulated the phosphorylation levels of RIPK1, RIPK3 and MLKL to promote necroptosis in osteosarcoma. CONCLUSIONS: The necroptosis prognostic signature and NS established in this study could be used as an independent prognostic factor, TNFRSF21 may be a necroptosis target in osteosarcoma therapy.

Development and validation of a N6 methylation regulator-related gene signature for prognostic and immune response prediction in non-small cell lung cancer.

N6 methylation (m6A) has been reported to play an important role in tumor progression. Non-small cell lung cancer (NSCLC) is the predominant pathological type of lung cancer with a high mortality rate. The purpose of this study was to develop and validate a N6 methylation regulator-related gene signature for assessing prognosis and response to immunotherapy in NSCLC. Data from The Cancer Genome Atlas was used as the training cohort. Data from Gene Expression Omnibus and Xena served as the two validation cohorts. We performed Cox regression, last absolute shrinkage and selection operator, receiver operating characteristic curves and Kaplan-Meier survival analysis to generate and validate a prognostic signature based on m6A regulator-related genes. We explored the association between the signature and tumor microenvironment including genomic mutation, immune cell infiltration and tumor mutation burden. We also analyzed the association between the signature and immunotherapy. Finally, among the genes that constituted the signature, GGA2 was the only favorable factor for NSCLC prognosis. Molecular experiments were used to explore GGA2 function in NSCLC. We generated a prognostic signature based on seven m6A regulator-related genes (GGA2, CD70, BMP2, GPX8, YWHAZ, NOG and TEAD4). And the data from three cohorts showed that the signature could effectively assess prognosis in NSCLC. Patients with high risk scores had the higher mutational load and lower immune infiltration levels and were more likely to not respond to immunotherapy. The experiments revealed overexpression of GGA2 inhibited proliferation and motility of NSCLC cells. Mechanically, GGA2 downregulated METTL3 expression and thus reduced m6A abundance in NSCLC. This study developed and validated a prognostic signature based on m6A regulator-related genes, providing useful insights for the management of NSCLC. And GGA2 may be a target of m6A regulation.

SLC39A10 promotes malignant phenotypes of gastric cancer cells by activating the CK2-mediated MAPK/ERK and PI3K/AKT pathways.

Solute carrier family 39 member 10 (SLC39A10) belongs to a subfamily of zinc transporters and plays a key role in B-cell development. Previous studies have reported that its upregulation promotes breast cancer metastasis by enhancing the influx of zinc ions (Zn2+); however, its role in gastric cancer remains totally unclear. Here, we found that SLC39A10 expression was frequently increased in gastric adenocarcinomas and that SLC39A10 upregulation was strongly associated with poor patient outcomes; in addition, we identified SLC39A10 as a direct target of c-Myc. Functional studies showed that ectopic expression of SLC39A10 in gastric cancer cells dramatically enhanced the proliferation, colony formation, invasiveness abilities of these gastric cancer cells and tumorigenic potential in nude mice. Conversely, SLC39A10 knockdown inhibited gastric cancer cell proliferation and colony formation. Mechanistically, SLC39A10 exerted its carcinogenic effects by increasing Zn2+ availability and subsequently enhancing the enzyme activity of CK2 (casein kinase 2). As a result, the MAPK/ERK and PI3K/AKT pathways, two major downstream effectors of CK2, were activated, while c-Myc, a downstream target of these two pathways, formed a vicious feedback loop with SLC39A10 to drive the malignant progression of gastric cancer. Taken together, our data demonstrate that SLC39A10 is a functional oncogene in gastric cancer and suggest that targeting CK2 is an alternative therapeutic strategy for gastric cancer patients with high SLC39A10 expression.

Quantification of the three-dimensional root system architecture using an automated rotating imaging system.

BACKGROUND: Crop breeding based on root system architecture (RSA) optimization is an essential factor for improving crop production in developing countries. Identification, evaluation, and selection of root traits of soil-grown crops require innovations that enable high-throughput and accurate quantification of three-dimensional (3D) RSA of crops over developmental time. RESULTS: We proposed an automated imaging system and 3D imaging data processing pipeline to quantify the 3D RSA of soil-grown individual plants across seedlings to the mature stage. A multi-view automated imaging system composed of a rotary table and an imaging arm with 12 cameras mounted with a combination of fan-shaped and vertical distribution was developed to obtain 3D image data of roots grown on a customized root support mesh. A 3D imaging data processing pipeline was developed to quantify the 3D RSA based on the point cloud generated from multi-view images. The global architecture of root systems can be quantified automatically. Detailed analysis of the reconstructed 3D root model also allowed us to investigate the Spatio-temporal distribution of roots. A method combining horizontal slicing and iterative erosion and dilation was developed to automatically segment different root types, and identify local root traits (e.g., length, diameter of the main root, and length, diameter, initial angle, and the number of nodal roots or lateral roots). One maize (Zea mays L.) cultivar and two rapeseed (Brassica napus L.) cultivars at different growth stages were selected to test the performance of the automated imaging system and 3D imaging data processing pipeline. CONCLUSIONS: The results demonstrated the capabilities of the proposed imaging and analytical system for high-throughput phenotyping of root traits for both monocotyledons and dicotyledons across growth stages. The proposed system offers a potential tool to further explore the 3D RSA for improving root traits and agronomic qualities of crops.

Disulfiram/Cu Kills and Sensitizes BRAF-Mutant Thyroid Cancer Cells to BRAF Kinase Inhibitor by ROS-Dependently Relieving Feedback Activation of MAPK/ERK and PI3K/AKT Pathways.

BRAFV600E, the most common genetic alteration, has become a major therapeutic target in thyroid cancer. Vemurafenib (PLX4032), a specific inhibitor of BRAFV600E kinase, exhibits antitumor activity in patients with BRAFV600E-mutated thyroid cancer. However, the clinical benefit of PLX4032 is often limited by short-term response and acquired resistance via heterogeneous feedback mechanisms. Disulfiram (DSF), an alcohol-aversion drug, shows potent antitumor efficacy in a copper (Cu)-dependent way. However, its antitumor activity in thyroid cancer and its effect on cellular response to BRAF kinase inhibitors remain unclear. Antitumor effects of DSF/Cu on BRAFV600E-mutated thyroid cancer cells and its effect on the response of these cells to BRAF kinase inhibitor PLX4032 were systematically assessed by a series of in vitro and in vivo functional experiments. The molecular mechanism underlying the sensitizing effect of DSF/Cu on PLX4032 was explored by Western blot and flow cytometry assays. DSF/Cu exhibited stronger inhibitory effects on the proliferation and colony formation of BRAFV600E-mutated thyroid cancer cells than DSF treatment alone. Further studies revealed that DSF/Cu killed thyroid cancer cells by ROS-dependent suppression of MAPK/ERK and PI3K/AKT signaling pathways. Our data also showed that DSF/Cu strikingly increased the response of BRAFV600E-mutated thyroid cancer cells to PLX4032. Mechanistically, DSF/Cu sensitizes BRAF-mutant thyroid cancer cells to PLX4032 by inhibiting HER3 and AKT in an ROS-dependent way and subsequently relieving feedback activation of MAPK/ERK and PI3K/AKT pathways. This study not only implies potential clinical use of DSF/Cu in cancer therapy but also provides a new therapeutic strategy for BRAFV600E-mutated thyroid cancers.

Characterization of the functional effects of ferredoxin 1 as a cuproptosis biomarker in cancer.

Background: Cuproptosis is a recently discovered form of programmed cell death. Ferredoxin 1 (FDX1) is a key gene that mediates this process. However, the role of FDX1 in human tumors is not clear. Methods: We comprehensively analyzed the differential expression and genetic alterations of FDX1 using multiomics data from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) database. Subsequently, we explored the association between FDX1 and tumor parameters such as genomic instability, RNA methylation modifications, immune infiltration and pathway activity. In addition, we performed functional enrichment analysis and assessed the sensitivity potential of FDX1-related drugs. Finally, we experimentally verified the functional effects of FDX1. Results: The analysis revealed differential expression of FDX1 in a variety of tumors. By analyzing the association of FDX1 expression with genomic instability, immune cell infiltration, signaling pathway etc. We explored the role of FDX1 in regulating cell activity. Also, we evaluated the function of FDX1 in biologic process and drug sensitivity. Our experimental results demonstrated that FDX1 exerts its antitumor effects through cuproptosis in liver hepatocellular carcinoma and non-small cell lung cancer cell lines. Conclusion: Our study reveals the functional effects of FDX1 in tumors and deepens the understanding of the effects of FDX1. We validated the inhibitory effect of FDX1 in copper induced cell-death, confirming the role of FDX1 as a cuproptosis biomarker.

EGFL7 drives the evolution of resistance to EGFR inhibitors in lung cancer by activating NOTCH signaling.

Accumulating evidence supports evolutionary trait of drug resistance. Like resilience in other systems, most tumor cells experience drug-tolerant state before full resistance acquired. However, the underlying mechanism is still poorly understood. Here, we identify that EGF like domain multiple 7 (EGFL7) is a responsive gene to epidermal growth factor receptor (EGFR) kinase inhibition during a period when tumors are decimated. Moreover, our data reveal that the adaptive increase of EGFL7 during this process is controlled by the depression of nonsense-mediated mRNA decay (NMD) pathway. Upregulation of EGFL7 activates NOTCH signaling in lung cancer cells, which slows down the decrease of c-Myc caused by EGFR inhibition, thereby helping the survival of cancer cells. Our data, taken together, demonstrate that EGFL7 is a driver gene for resistance to EGFR kinase inhibition, and suggest that targeting EGFL7/NOTCH signaling may improve the clinical benefits of EGFR inhibitors in patients with EGFR mutant tumors.

Dipeptidyl Peptidase-4 Stabilizes Integrin α4ß1 Complex to Promote Thyroid Cancer Cell Metastasis by Activating Transforming Growth Factor-Beta Signaling Pathway.

Background: Metastatic disease is a major cause of thyroid cancer-related death. However, the mechanisms responsible for thyroid cancer metastasis are unclear. Dipeptidyl peptidase-4 (DPP4) is a multifunctional cell surface glycoprotein that has been reported to be a negative prognostic factor in thyroid cancer. We explored the molecular mechanism of the role of DPP4 in thyroid cancer cell metastasis. Methods: The effects of DPP4 on thyroid cancer cell migration/invasion in vitro were assessed by transwell assays. A lung metastatic mouse model was also established to determine the effect of DPP4 on tumor metastasis in vivo. DPP4 inhibitor sitagliptin was used to test its effect on thyroid cancer cell metastasis. The mechanism of which DPP4 promotes thyroid cancer cell metastasis was explored by a series of molecular and biochemical experiments. Results: We observed that DPP4 was significantly upregulated in papillary thyroid cancers compared with control subjects, and its expression was positively associated with lymph node metastasis and BRAFV600E mutation. Functional studies showed that DPP4 knockdown significantly inhibited metastatic potential of thyroid cancer cells, and vice versa. However, DPP4 inhibitor sitagliptin did not affect the metastatic ability of thyroid cancer cells, indicating that the promoting effect of DPP4 on tumor metastasis was independent of its enzymatic activity. Mechanistically, DPP4 interacted with the α4 and ß1 integrin subunits, and stabilized the formation of integrin α4ß1 complex. DPP4-mediated integrin signal activation promoted the nuclear localization of c-Jun through the FAK/AKT pathway, thereby inducing the transcription of transforming growth factor-beta 1 (TGFB1 coding for protein TGF-ß1). TGF-ß1 then facilitated tumor metastasis by inducing the epithelial-mesenchymal transition. Conclusions: DPP4 promotes thyroid cancer cell metastasis through the integrins/FAK/AKT/c-Jun/TGF-ß1 signaling axis. These findings may have implications for an alternative therapeutic strategy for thyroid cancer.

GASP1 enhances malignant phenotypes of breast cancer cells and decreases their response to paclitaxel by forming a vicious cycle with IGF1/IGF1R signaling pathway.

There is a potential correlation between G-protein-coupled receptor-associated sorting protein 1 (GASP1) and breast tumorigenesis. However, its biological function and underlying molecular mechanism in breast cancer have not been clearly delineated. Here, we demonstrated that GASP1 was highly expressed in breast cancers, and patients harboring altered GASP1 showed a worse prognosis than those with wild-type GASP1. Functional studies showed that GASP1 knockout significantly suppressed malignant properties of breast cancer cells, such as inhibition of cell proliferation, colony formation, migration, invasion and xenograft tumor growth in nude mice as well as induction of G1-phase cell cycle arrest, and vice versa. Mechanistically, GASP1 inhibited proteasomal degradation of insulin-like growth factor 1 receptor (IGF1R) by competitively binding to IGF1R with ubiquitin E3 ligase MDM2, thereby activating its downstream signaling pathways such as NF-κB, PI3K/AKT, and MAPK/ERK pathways given their critical roles in breast tumorigenesis and progression. IGF1, in turn, stimulated GASP1 expression by activating the PI3K/AKT pathway, forming a vicious cycle propelling the malignant progression of breast cancer. Besides, we found that GASP1 knockout obviously improved the response of breast cancer cells to paclitaxel. Collectively, this study demonstrates that GASP1 enhances malignant behaviors of breast cancer cells and decreases their cellular response to paclitaxel by interacting with and stabilizing IGF1R, and suggests that it may serve as a valuable prognostic factor and potential therapeutic target in breast cancer.

Exosomal MiR-199a-5p Inhibits Tumorigenesis and Angiogenesis by Targeting VEGFA in Osteosarcoma.

Background: Osteosarcoma (OS) is the most common primary bone malignancy in children and adolescents. microRNAs have been found to play a vital role in tumor angiogenesis. Here, we investigated the effects of miR-199a-5p on tumor growth and angiogenesis in osteosarcoma. Furthermore, the underlying molecular mechanisms and signaling pathways were explored. Methods: The datasets were extracted from the Gene Expression Omnibus and the differentially expressed miRNAs (DEmiRNAs) were screened out by the GEO2R online platform. The potential target genes were predicted using the miRTarBase database. The predicted target genes were further analyzed by Gene Ontology and pathway enrichment analysis and a regulatory network of DEmiRNAs and their target genes was constructed. In addition, the effects of osteosarcoma cell derived exosomal miR-199a-5p on the proliferation, migration and neovascularization of HUVECs were evaluated by conducting EdU assays, Transwell experiments and tube formation assays. A dual-luciferase reporter assay was performed to detect whether VEGFA was the direct target of miR-199a-5p. Furthermore, in vivo xenograft models were established to further investigate the intrinsic role of miR-199a-5p in osteosarcoma tumorigenesis and angiogenesis. Results: A total of 149 DE-miRNAs were screened out, including 136 upregulated miRNAs and 13 downregulated miRNAs in human osteosarcoma plasma samples compared with normal plasma samples. A total of 1313 target genes of the top three upregulated and downregulated miRNAs were predicted. In the PPI network, the top 10 hub nodes with higher degrees were identified as hub genes, such as TP53 and VEGFA. By constructing the miRNA-hub gene network, we found that most of hub genes could be potentially modulated by miR-663a, miR-199a-5p and miR-223-3p. In addition, we found that the expression level of miR-199a-5p in exosomes derived from osteosarcoma cells was remarkably higher than the osteosarcoma cells, and the exosomes derived from osteosarcoma cells were transported to HUVECs. Overexpression of miR-199a-5p could significantly inhibited HUVEC proliferation, migration and neovascularization, whereas downregulation of miR-199a-5p expression exerted the opposite effect. Moreover, the in vivo results verified that overexpression of miR-199a-5p in osteosarcoma cells could suppress the growth and angiogenesis of tumors. Conclusion: Our results demonstrated that miR-199a-5p could be transported from osteosarcoma cells to HUVECs through exosomes, subsequently targeting VEGFA and inhibiting the growth and angiogenesis of osteosarcoma. Therefore, miR-199a-5p may act as a biomarker in the diagnosis and treatment of osteosarcoma.

BMPR2 expression level is correlated with low immune infiltration and predicts metastasis and poor survival in osteosarcoma.

Osteosarcoma is the most common malignant bone tumor in adolescents and young adults, and identifying biomarkers for prognosis and therapy is necessary. Bone morphogenetic protein receptor 2 (BMPR2) is involved in various cellular functions, including cell adhesion, proliferation and invasion, inflammation, apoptosis and metastatic spread. However, the correlation between BMPR2 expression levels and prognosis and tumor-infiltrating immune cells in osteosarcoma is not well understood. In the present study, the expression level of BMPR2 was investigated using the Oncomine and R2 databases. The association between the expression level of BMPR2 and the clinical prognosis of patients with cancer was analyzed using the R2 database. The relationship between the expression level of BMPR2 and immune cell infiltration in the stroma of osteosarcoma was assessed using the Tumor Immune Estimation Resource (TIMER) and CIBERSORT. The correlations between BMPR2 expression level and infiltrated immune cell gene marker sets in osteosarcoma were validated in the TIMER and R2 databases. Analysis of a cohort of patients with osteosarcoma revealed that BMPR2 expression was significantly higher in osteosarcoma compared with in normal tissue and was correlated with poor prognosis. M0 macrophages, M2 macrophages, resting mast, γ δ T and CD8+ T cells were the top five immune cells with the highest degrees of infiltration in osteosarcoma. In addition, BMPR2 expression level showed a significant negative correlation with the gene markers of CD8+ T cells, monocytes and M2 macrophages. Low levels of infiltrating CD8+ T cells, monocytes or M2 macrophages in osteosarcoma was significantly associated with poor survival. These data suggested that CD8+ T cells, monocytes and M2 macrophages play significant roles in the establishment of the immune microenvironment of osteosarcoma. High BMPR2 expression was associated with poor prognosis and low infiltration of CD8+ T cells, monocytes and M2 macrophages in osteosarcoma. Hence, BMPR2 can be considered a biomarker of the immune infiltration, metastasis and prognosis of osteosarcoma.

Risk factors for venous thromboembolism following spinal surgery: A meta-analysis.

BACKGROUND: To investigate the risk factors for postoperative venous thromboembolism (VTE) in patients undergoing spinal surgery. METHODS: Literature published in PubMed, Embase, the Cochrane Library, and Web of Science was systematically reviewed to assess risk factors for VTE following spinal surgery. The data analysis was conducted with STATA 12.0. Data were pooled using fixed-effects or random-effects models according to the heterogeneity among the included studies. RESULTS: Twenty-six studies involving 3,216,187 patients were included in this meta-analysis, and the total incidence of VTE after spinal surgery was 0.35% (0.15-29.38%). The pooled analysis suggested that the incidence of VTE after spinal surgery was higher in such aspects as increasing age (weighted mean difference [WMD] 0.55 years, 95% confidence interval [CI] 0.33-0.78, P < .001), female sex (odds ratio [OR] 1.12, 95% CI 1.01-1.25; P = .034), diabetes (OR 1.34, 95% CI 1.29-1.44; P < .001), chronic kidney disease (OR = 8.31, 95% CI 1.98-34.93; P = .004), nonambulatory preoperative activity status (OR 3.67, 95% CI 2.75-4.83; P < .001), D-dimer level (WMD 1.023, 95% CI 0.162-1.884; P = .02), long duration of operation (WMD 0.73, 95% CI 0.21-1.24; P = .006), spine fusion (OR 1.54, 95% CI 1.31-1.82; P < .001), and blood transfusion (OR 2.31, 95% CI 1.73-3.07; P < .001), and the differences were statistically significant. However, there were no significant differences in body mass index, obesity, hypertension, coronary heart disease, spondylolisthesis, intraoperative blood loss, surgical procedures (anterior lumbar interbody fusion vs posterior intervertebral fusion /translaminar lumbar interbody fusion), or surgical site (lumbar vs thoracic) (all P > .05). CONCLUSION: Based on our meta-analysis, we identified several important factors that increased the risk of VTE after spinal surgery. We hope our study provides assistance to spine surgeons so that they can adequately analyze and assess risk factors in patients and then develop preventive measures to reduce the incidence of VTE.

Autologous stem cell transplantation for patients with viral hepatitis-induced liver cirrhosis: a systematic review and meta-analysis.

BACKGROUND: Recently, stem cells have been used in the treatment of viral hepatitis-induced liver cirrhosis (LC), and stem cell therapy is showing potential therapeutic effects on liver function improvement. The consensus on effects and safety of stem cell therapy has not been reached, thus it is essential for us to conduct a systematic review and meat-analysis to investigate the efficacy and safety of stem cell therapy for viral hepatitis-induced LC. MATERIALS AND METHODS: Medline, Embase, SinoMed and Cochrane Library databases were searched with appropriate keywords through 5 August 2018. We included eight trials involving 467 patients. The pooled weight mean difference (WMD) and 95% confidence interval (CI) were calculated using a fixed or random effects model. Quality assessment and publication bias were also performed. The selected studies were considered for meta-analysis using RevMan V5.3. RESULTS: Compared with traditional therapy group, autologous stem cell transplantation increased the level of albumin (WMD: 2.47, 95% CI: 1.05-3.90, P < 0.001), but decreased the level of total bilirubin (WMD: -2.26, 95% CI: -3.61 to -0.90, P = 0.001), alanine aminotransferase (WMD: -9.16, 95% CI: -16.47 to -1.85, P = 0.01) and prothrombin time (WMD: -3.02, 95% CI: -4.83 to -1.22, P = 0.001). Clinical symptoms such as edema, fatigue, anorexia and abdominal distention were alleviated. Model for End-Stage Liver Disease and Child-Pugh scores were decreased after stem cell therapy. Whereas, there was no statistically significant difference between two groups regarding aspartate aminotransferase, prothrombin time activity, ascites and pleural fluid. No procedure-related complications were found. CONCLUSION: Autologous stem cell transplantation might have beneficial effects on patients with viral hepatitis-induced LC and is relatively safe for these patients. Further high-quality randomized controlled trials are needed.

Role of Polymorphisms of FAM13A, PHLDB1, and CYP24A1 in Breast Cancer Risk.

BACKGROUND: Single-nucleotide polymorphisms (SNPs) are important indicators of susceptibility to breast cancer. OBJECTIVE: To assess the associations between SNPs in the FAM13A, PHLDB1, and CYP24A1 gene and breast cancer risk in the Chinese Han population. METHODS: We performed a case-control study including 379 female breast cancer patients and 407 female healthy controls. The three SNPs were genotyped using Agena MassARRAY platform. The χ2 test was used to compare alleles and genotypes frequencies of polymorphisms between case and control groups. Genetic models analyses to assess the associations between SNPs and breast cancer risk by computing odds ratios (ORs) and 95% confidence intervals (CIs) using logistic regression. RegulomeDB and HaploReg databases were used to calculate possible functional effects of polymorphisms. RESULTS: Overall analysis results showed that rs4809957 was associated with an increased risk of breast cancer (allele A: OR = 1.27, 95% CI: 1.03-1.55, p = 0.024; AA vs. GG: OR = 1.80, 95% CI: 1.15-2.82, p = 0.010; recessive model: OR = 1.70, 95% CI: 1.12-2.58, p = 0.012); and rs1059122 was found to be associated with a reduced breast cancer risk in the recessive model (OR = 0.71, 95% CI: 0.51-0.98, p = 0.039). Stratification analysis found significant associations between the three SNPs (rs1059122, rs17748, and rs4809957) and breast cancer risk. CONCLUSION: Our results suggested that rs1059122 (FAM13A), rs17748 (PHLDB1), and rs4809957 (CYP24A1) might contribute to breast cancer susceptibility in the Chinese Han population. Future studies with large samples are required to confirm our findings, as well as functional studies are needed to explore their function in the breast cancer development.

Rice Blast Disease Recognition Using a Deep Convolutional Neural Network.

Rice disease recognition is crucial in automated rice disease diagnosis systems. At present, deep convolutional neural network (CNN) is generally considered the state-of-the-art solution in image recognition. In this paper, we propose a novel rice blast recognition method based on CNN. A dataset of 2906 positive samples and 2902 negative samples is established for training and testing the CNN model. In addition, we conduct comparative experiments for qualitative and quantitatively analysis in our evaluation of the effectiveness of the proposed method. The evaluation results show that the high-level features extracted by CNN are more discriminative and effective than traditional hand-crafted features including local binary patterns histograms (LBPH) and Haar-WT (Wavelet Transform). Moreover, quantitative evaluation results indicate that CNN with Softmax and CNN with support vector machine (SVM) have similar performances, with higher accuracy, larger area under curve (AUC), and better receiver operating characteristic (ROC) curves than both LBPH plus an SVM as the classifier and Haar-WT plus an SVM as the classifier. Therefore, our CNN model is a top performing method for rice blast disease recognition and can be potentially employed in practical applications.

Comparison of the short-term clinical outcome between open and minimally invasive esophagectomy by comprehensive complication index.

OBJECTIVE: Esophagectomies are associated with high mortality and various complications. Previous studies reported on the short-term outcomes were heterogeneous and inconsistent in comparing minimally invasive esophagectomy (MIE) with traditional open esophagectomy (OE). The objective of this study is to compare the short-term outcomes between MIE and OE calculated using Comprehensive Complication Index (CCI) which incorporates all complication severities. MATERIALS AND METHODS: We did expertise-based randomized controlled trial from September 2014 to October 2015. A total of 144 patients with resectable cancer were randomly selected to be treated by OE or MIE. The CCI was calculated using the Clavien-Dindo classification grade of all postoperative complications collected. Demographic characteristics, preoperative clinical assessment, postoperative complications, and CCI of patients were compared between both groups. RESULTS: Among the 144 patients included in this study, 97 underwent OE and 47 underwent MIE. Demographics, preoperative clinical assessment, and inpatient mortality in both cohorts were almost identical. Eighty-four patients (86.6%) of OE group and 26 patients (55.3%) of MIE group suffered from complications. A significant difference was observed in blood transfusion (P = 0.04), moderate and severe pain (P < 0.01), and diarrhea (P = 0.03) between two groups. There was an obvious statistical significance of CCI between OE and MIE groups (P = 0.036). CONCLUSIONS: The CCI is a promising scoring system that could be used to assess the severity of complications after esophagectomy. MIE could improve the short-term outcomes by reducing some mild and moderate complications.

Lipidomic characterisation discovery for coronary heart disease diagnosis based on high-throughput ultra-performance liquid chromatography and mass spectrometry.

Although many diagnostic tools have been developed for coronary heart disease (CHD), its diagnosis is still challenging. Lipids play an important role in diseases and a lipidomics approach could offer a platform to clarify the pathogenesis and pathologic changes of this disease. To the best of our knowledge, no lipidomics studies on serum have been attempted to improve the diagnosis and identify the potential biomarkers of CHD. The aim of this study was to investigate the distinctive lipid changes in serum samples of CHD patients and to identify candidate biomarkers for the reliable diagnosis of CHD using this platform. In this study, the serum lipid profiles of CHD patients were measured via ultra-performance liquid chromatography-G2-Si-high definition mass spectrometry combined with multivariate data analysis. A MetaboAnalyst tool was used for the analysis of the receiver operating-characteristic, while the IPA software was applied for the pathway analysis. The obtained results inferred that 33 lipid molecular species involving 6 fatty acids, 21 glycerophospholipids and 6 sphingolipids have significant differences in the serum of CHD patients. Simultaneously, 4 upstream regulatory proteins related to lipid metabolism disorders of CHD were predicted. Ten lipids have high clinical diagnostic significance according to the receiver operating-characteristic curves. This research shows that the in-depth study of lipids in the serum contributes to the clinical diagnosis of CHD and interprets the occurrence and development of CHD.

Adverse Events and Efficacy of Cixutumumab in Phase II Clinical Trials: A systematic Review and Meta-Analysis.

BACKGROUND AND OBJECTIVES: Cixutumumab is a monoclonal antibody targeting insulin-like growth factor 1 receptor (IGF1R). We sought to evaluate the efficacy of cixutumumab in the treatment of cancer, and to comprehensively assess the associated adverse events in phase II clinical trials. METHODS: Data were collected from PubMed, Embase, and Clinicaltrials.gov. The improvement on progression-free survival (PFS) was evaluated by hazard ratio (HR) and 95% confidence intervals (95% CIs). We also carried a meta-analysis to comprehensively evaluate the incidence of adverse events. RESULTS: The adverse events that were mentioned most frequently were hyperglycemia, anemia, nausea, fatigue, and thrombocytopenia. The most frequent adverse events were hyponatremia (40.28%), fatigue (35.18%), and skin rash (35.11%). Results showed that cixutumumab treatments did not benefit PFS (HR 1.03, 95% CI 0.83-1.26, p = 0.979). The complete response (CR) was rarely seen in phase II trials. CONCLUSIONS: Cixutumumab was well tolerated when used alone and in combination therapies, but its antitumor activity was low in the existing phase II clinical trials. An acceptable incidence of adverse effects supports further investigation of this drug, provided that it shows antitumor activity in combination with other drugs.

ARRB1 enhances the chemosensitivity of lung cancer through the mediation of DNA damage response.

ARRB1 (also known as ß-arrestin-1) serves as a multifunctional adaptor contributing to the regulation of signaling pathways. ARRB1 may be involved in DNA damage accumulation; however the underlying mechanism involved is unclear. In the present study, non-small cell lung cancer (NSCLC) cell lines (H520 and SK-MES-1) were transfected with ARRB1 plasmids or small interfering ribonucleic acid (siRNA) and received treatment with DNA-damaging agents (cisplatin and etoposide). A mouse xenograft model was used to assess the impact of ARRB1 on the efficacy of cisplatin in vivo. A total of 30 surgically resected NSCLC patients were recruited for the present study and qRT-PCR was performed to determine the mRNA levels in cancer tissues compared with para-carcinoma tissues. Our data showed that DNA damage was abrogated in the ARRB1­knockdown cells and enhanced in the ARRB1-overexpressing cells. ATR and Chk1 were more activated in the ARRB1-overexpressing cells compared to the ARRB1-knockdown cells, followed by increased H2AX phosphorylation. DNA damage and apoptosis were increased in the ARRB1-overexpressing cells treated with cisplatin. These data provided strong evidence that ARRB1 contributes to the response of NSCLC to DNA-damaging agents and is essential for DNA damage response (DDR). ARRB1 may enhance the efficacy of DNA-damaging agents in NSCLC.