Development and validation of epigenetic modification-related signals for the diagnosis and prognosis of colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) is one of the world's most common malignancies. Epigenetics is the study of heritable changes in characteristics beyond the DNA sequence. Epigenetic information is essential for maintaining specific expression patterns of genes and the normal development of individuals, and disorders of epigenetic modifications may alter the expression of oncogenes and tumor suppressor genes and affect the development of cancer. This study elucidates the relationship between epigenetics and the prognosis of CRC patients by developing a predictive model to explore the potential value of epigenetics in the treatment of CRC. METHODS: Gene expression data of CRC patients' tumor tissue and controls were downloaded from GEO database. Combined with the 720 epigenetic-related genes (ERGs) downloaded from EpiFactors database, prognosis-related epigenetic genes were selected by univariate cox and LASSO analyses. The Kaplan-Meier and ROC curve were used to analyze the accuracy of the model. Data of 238 CRC samples with survival data downloaded from the GSE17538 were used for validation. Finally, the risk model is combined with the clinical characteristics of CRC patients to perform univariate and multivariate cox regression analysis to obtain independent risk factors and draw nomogram. Then we evaluated the accuracy of its prediction by calibration curves. RESULTS: A total of 2906 differentially expressed genes (DEGs) were identified between CRC and control samples. After overlapping DEGs with 720 ERGs, 56 epigenetic-related DEGs (DEERGs) were identified. Combining univariate and LASSO regression analysis, the 8 epigenetic-related genes-based risk score model of CRC was established. The ROC curves and survival difference of high and low risk groups revealed the good performance of the risk score model based on prognostic biomarkers in both training and validation sets. A nomogram with good performance to predict the survival of CRC patients were established based on age, NM stage and risk score. The calibration curves showed that the prognostic model had good predictive performance. CONCLUSION: In this study, an epigenetically relevant 8-gene signature was constructed that can effectively predict the prognosis of CRC patients and provide potential directions for targeted therapies for CRC.

The negative impact of increasing temperatures on rice yields in southern China.

China is the main producer and consumer of rice in the world, and rice is a major staple food grain for more than half of the world's population. Reduced rice yields caused by climate factors not only affect the food security of China, but also has global repercussions. Thus, it is vital to assess the potential impact of climate warming on rice production. Using daily temperature and phenology records of double-cropping rice from agro-meteorological stations in southern China, the influence of increased temperatures on rice yields during the last several decades was investigated. Associated with an increase in average daily mean temperatures by 0.7 °C during 2009-2018 relative to 1961-1970, Killing Degree Days (KDD), an indicator for damaging high temperature, for early and late rice increased by 110% and 88.6% respectively. However, the negative influence of KDDs on yields was mainly evident for early rice, because high temperatures occurred frequently during the sensitive grain-filling period; early-rice yields showed a decrease of 8% per 1 °C increase in mean growing season air temperature. Late rice yields, on the other hand, were not as negatively influenced by increasing temperatures as early rice, because high temperature usually occurred during the vegetative growth stage, which was not so sensitive to high temperature.

Kinetic control of Phytic acid/Lixisenatide/Fe (III) ternary nanoparticles assembly process for sustained peptide release.

The preferable choice of sustained peptide delivery systems is generally polymer-based microspheres in which their large particle size, wide size distribution, low drug encapsulation efficacy, poor colloidal stability, and undesirable burst release eventually hinder their clinical translation. In this study, a nanoscale ternary Lixisenatide (Lix) sustained delivery system based on strong multivalent interactions (electrostatic and coordination complexation) among small molecular phytic acid (PA), Lix and Fe3+ was developed. Flash nanocomplexation (FNC) was utilized to facilitate the rapid and efficient mixing of the three components and kinetically control the assembly process that enabled dynamic balance of two competitive chemical reactions with different kinetic rates (slow chemical reaction of PA/Lix and fast chemical reaction of PA/Fe3+) to generate structural uniform ternary nanoparticles and avoid heterogeneous complexes. By tuning the mixing conditions (i.e., flow rate, mass ratio, concentration, pH value, etc.), the ternary PA/Lix/Fe3+ nanoparticles were assembled with reproducible production in a manner of high uniformity and scalability, achieving small size (∼50 nm), uniform composition (PDI: ∼0.12), favourable colloidal stability, high encapsulation efficiency (∼100%), and tunable drug release kinetics. The optimized formulation exhibited a minor Lix release (<20%) in the first day and extended peptide release period over 8 days. Unexpectedly, upon a single injection administration, the as-prepared formulation (600 µg/kg) rapidly brought the high BGL (∼30 mmol/L) back to normal range (<10 mmol/L) within the initial 6 h and achieved a 180 h glycemic control in T2D mouse model. Moreover, this sustained peptide delivery system demonstrated a repeatable hypoglycemic effects and significantly suppressed the pathological damage of major organs following multiple injection. This sustained peptide delivery system with aqueous, facile and reproducible preparation process possesses good biocompatibility, tunable release kinetics, and prolonged hypoglycemic effects, portending its great translational potential in the chronic disease treatment.

Confined Channels Induced Coalescence Demulsification and Slippery Interfaces Constructed Fouling Resist-Release for Long-Lasting Oil/Water Separation.

Superwetting membranes based on steric exclusion and affinity difference have drawn substantial interest for oil/water separation. However, the state-of-the-art membranes fail to literally sort out fouling and permeability decline and so limit their viability for long-term separation. Inspired by Dayu's philosophy of "draining rather than blocking water", herein, we achieve a long-lasting and efficient separation for viscous emulsions by designing poly(hydroxyethyl methylacrylate) (PHEMA)- and polydimethylsiloxane (PDMS)-compensated poly(vinylidene fluoride) membranes based on coalescence demulsification via chemical coordination phase separation. The symmetric and torturous microporous structure facilitated oil spatial confining and coalescence demulsification, while the synergistic compensation of PHEMA and PDMS coordinated the fouling resist and release properties, which was confirmed by multichannel confocal laser scanning microscopy. The developed membrane shows an unprecedented permeability half-life (τ) for viscous emulsions (e.g., decamethylcyclopentasiloxane, soybean oil paraffin, n-hexadecane, and isooctane) under cross-flow operation, far more beyond common superwetting membranes under applied bench-scale dead-end filtration. Our technique for designing "nonfouling" membranes opens up opportunities for advancing next-generation membranes for oil/water separation.

Identification of novel prognostic biomarkers by integrating multi-omics data in gastric cancer.

BACKGROUND: Gastric cancer is a fatal gastrointestinal cancer with high morbidity and poor prognosis. The dismal 5-year survival rate warrants reliable biomarkers to assess and improve the prognosis of gastric cancer. Distinguishing driver mutations that are required for the cancer phenotype from passenger mutations poses a formidable challenge for cancer genomics. METHODS: We integrated the multi-omics data of 293 primary gastric cancer patients from The Cancer Genome Atlas (TCGA) to identify key driver genes by establishing a prognostic model of the patients. Analyzing both copy number alteration and somatic mutation data helped us to comprehensively reveal molecular markers of genomic variation. Integrating the transcription level of genes provided a unique perspective for us to discover dysregulated factors in transcriptional regulation. RESULTS: We comprehensively identified 31 molecular markers of genomic variation. For instance, the copy number alteration of WASHC5 (also known as KIAA0196) frequently occurred in gastric cancer patients, which cannot be discovered using traditional methods based on significant mutations. Furthermore, we revealed that several dysregulation factors played a hub regulatory role in the process of biological metabolism based on dysregulation networks. Cancer hallmark and functional enrichment analysis showed that these key driver (KD) genes played a vital role in regulating programmed cell death. The drug response patterns and transcriptional signatures of KD genes reflected their clinical application value. CONCLUSIONS: These findings indicated that KD genes could serve as novel prognostic biomarkers for further research on the pathogenesis of gastric cancers. Our study elucidated a multidimensional and comprehensive genomic landscape and highlighted the molecular complexity of GC.

Real-World Effectiveness of Direct-Acting Antiviral Regimens against Hepatitis C Virus (HCV) Genotype 3 Infection: A Systematic Review and Meta-Analysis.

Patients with hepatitis C virus (HCV) genotype 3 (GT3) infection are resistant to direct-acting antiviral (DAA) treatments. This study aimed to analyze the effectiveness of sofosbuvir (SOF)+daclatasvir (DCV) ± ribavirin (RBV); SOF+velpatasvir (VEL)±RBV; SOF+VEL+voxilaprevir (VOX); and glecaprevir (GLE)+pibrentasvir (PIB) in the treatment of HCV GT3-infected patients in real-world studies. Articles were identified by searching the PubMed, EMBASE, and Cochrane Library databases from January 1, 2016 to September 10, 2019. The meta-analysis was conducted to determine the sustained virologic response (SVR) rate, using R 3.6.2 software. Thirty-four studies, conducted on a total of 7328 patients from 22 countries, met the inclusion criteria. The pooled SVR rate after 12/24 weeks of treatment was 92.07% (95% CI: 90.39-93.61%) for the evaluated regimens. Also, the SVR rate was 91.17% (95% CI: 89.23-92.94%) in patients treated with SOF+DCV±RBV; 95.08% (95% CI: 90.88-98.13%) in patients treated with SOF+VEL±RBV; 84.97% (95% CI: 73.32-93.91%) in patients treated with SOF+VEL+VOX; and 98.54% (95% CI: 96.40-99.82%) in patients treated with GLE+PIB. The pooled SVR rate of the four regimens was 95.24% (95% CI: 93.50-96.75%) in non-cirrhotic patients and 89.39% (95% CI: 86.07-92.33%) in cirrhotic patients. The pooled SVR rate was 94.41% (95% CI: 92.02-96.42%) in treatment-naive patients and 87.98% (95% CI: 84.31-91.25%) in treatment-experienced patients. The SVR rate of GLE+PIB was higher than other regimens. SOF+VEL+VOX can be used as a treatment regimen following DAA treatment failure.

Clinical Characteristics and Risk Factors of Acute Respiratory Distress Syndrome (ARDS) in COVID-19 Patients in Beijing, China: A Retrospective Study.

BACKGROUND Coronavirus disease 2019 (COVID-19) is a new infectious disease, and acute respiratory syndrome (ARDS) plays an important role in the process of disease aggravation. The detailed clinical course and risk factors of ARDS have not been well described. MATERIAL AND METHODS We retrospectively investigated the demographic, clinical, and laboratory data of adult confirmed cases of COVID-19 in Beijing Ditan Hospital from Jan 20 to Feb 29, 2020 and compared the differences between ARDS cases and non-ARDS cases. Univariate and multivariate logistic regression methods were employed to explore the risk factors associated with ARDS. RESULTS Of the 130 adult patients enrolled in this study, the median age was 46.5 (34-62) years and 76 (58.5%) were male. ARDS developed in 26 (20.0%) and 1 (0.8%) death occurred. Fever occurred in 114 patients, with a median highest temperature of 38.5 (38-39)°C and median fever duration of 8 (3-11) days. The median time from illness onset to ARDS was 10 (6-13) days, the median time to chest CT improvement was 17 (14-21) days, and median time to negative nucleic acid test result was 27 (17-33) days. Multivariate regression analysis showed increasing odds of ARDS associated with age older than 65 years (OR=4.75, 95% CL1.26-17.89, P=0.021), lymphocyte counts [0.5-1×109/L (OR=8.80, 95% CL 2.22-34.99, P=0.002); <0.5×109/L(OR=36.23, 95% CL 4.63-2083.48, P=0.001)], and temperature peak ≥39.1°C (OR=5.35, 95% CL 1.38-20.76, P=0.015). CONCLUSIONS ARDS tended to occur in the second week of the disease course. Potential risk factors for ARDS were older age (>65 years), lymphopenia (≤1.0×109/L), and temperature peak (≥39.1°C). These findings could help clinicians to predict which patients will have a poor prognosis at an early stage.

First Case of Coronavirus Disease 2019 in Childhood Leukemia in China.

We report the first case of coronavirus disease 2019 (COVID-19) comorbid with leukemia in a patient hospitalized in Beijing, China. The patient showed a prolonged manifestation of symptoms and a protracted diagnosis period of COVID-19. It is necessary to extend isolation time, increase the number of nucleic acid detections and conduct early symptomatic treatment for children with both COVID-19 and additional health problems.

Management of Diabetes Mellitus in Patients with Chronic Liver Diseases.

Diabetes mellitus (DM) is a common chronic disease affecting humans globally. During the last few years, the incidence of diabetes has increased and has received more attention. In addition to growing DM populations, DM complications are involving injuries to more organs, such as the heart and cerebral vessel damage. DM complications can reduce quality of life and shorten life spans and eventually also impede social and economic development. Therefore, effective measures to curb the occurrence and development of diabetes assist in improving patients' quality of life, delay the progression of DM in the population, and ease a social burden. The liver is regarded as an important link in the management and control of DM, including the alleviation of glucose metabolism and lipid metabolism and others via glucose storage and endogenous glucose generation from glycogen stored in the liver. Liver cirrhosis is a very common chronic disease, which often lowers the quality of life and decreases life expectancy. According to a growing body of research, diabetes shows a close correlation with hepatitis, liver cirrhosis, and liver cancer. Moreover, coexistence of liver complications would accelerate the deterioration of patients with diabetes. Liver cirrhosis and diabetes influence each other. Thus, in addition to pharmacological treatments and lifestyle interventions, effective control of cirrhosis might assist in a better management of diabetes. When it comes to different etiologies of liver cirrhosis, different therapeutic methods, such as antiviral treatment, may be more effective. Effective control of cirrhosis might be a strategy for better management of diabetes.

Bufalin reverses intrinsic and acquired drug resistance to cisplatin through the AKT signaling pathway in gastric cancer cells.

Cisplatin is the most common chemotherapeutic agent for gastric cancer (GC), however it activates AKT, which contributes to intrinsic and acquired resistance. Bufalin, a traditional Chinese medicine, shows significant anticancer activity by inhibiting the AKT pathway. It was therefore hypothesized that bufalin could counteract cisplatin resistance in GC cells. SGC7901, MKN­45 and BGC823 human GC cells were cultured under normoxic and hypoxic conditions. Effects of cisplatin and bufalin on GC cells were measured by a cell counting kit, apoptosis was analyzed by flow cytometry, and immunoblotting was used to detect proteins associated with the AKT signaling pathway. It was demonstrated that bufalin synergized with cisplatin to inhibit proliferation and promote apoptosis of GC cells by diminishing the activation of cisplatin-induced AKT under normoxic and hypoxic conditions. Bufalin also inhibits cisplatin-activated molecules downstream of AKT that affect proliferation and apoptosis, including glycogen synthase kinase, mammalian target of rapamycin, ribosomal protein S6 Kinase and eukaryotic translation initiation factor-4E-binding protein-1. To investigate acquired cisplatin resistance, a cisplatin­resistant cell line SGC7901­CR was used. It was demonstrated that bufalin reversed acquired cisplatin resistance and significantly induced apoptosis through the AKT pathway. These results imply that bufalin could extend the therapeutic effect of cisplatin on GC cells when administered in combination.

Gene expression profiling reveals key genes and pathways related to the development of non-alcoholic fatty liver disease.

UNLABELLED:  Background. This study aims to identify key genes and pathways involved in non-alcoholic fatty liver disease (NAFLD). MATERIAL AND METHODS: The dataset GSE48452 was downloaded from Gene Expression Omnibus, including 14 control liver samples, 27 healthy obese samples, 14 steatosis samples and 18 nonalcoholic steatohepatitis (NASH) samples. Differentially expressed genes (DEGs) between controls and other samples were screened through LIMMA package. Then pathway enrichment analysis for DEGs was performed by using DAVID, and alterations of enriched pathways were determined. Furthermore, protein-protein interaction (PPI) networks were constructed based on the PPI information from HPRD database, and then, networks were visualized through Cytoscape. Additionally, interactions between microRNAs (miRNAs) and pathways were analyzed via Fisher's exact test. RESULTS: A total of 505, 814 and 783 DEGs were identified for healthy obese, steatosis and NASH samples in comparison with controls, respectively. DEGs were enriched in ribosome (RPL36A, RPL14, etc.), ubiquitin mediated proteolysis (UBE2A, UBA7, etc.), focal adhesion (PRKCA, EGFR, CDC42, VEGFA, etc.), Fc?R-mediated phagocytosis (PRKCA, CDC42, etc.), and so on. The 27 enriched pathways gradually deviated from baseline (namely, controls) along with the changes of obese-steatosis-NASH. In PPI networks, PRKCA interacted with EGFR and CDC42. Besides, hsa-miR-330-3p and hsa-miR-126 modulated focal adhesion through targeting VEGFA and CDC42. CONCLUSIONS: The identified DEGs (PRKCA, EGFR, CDC42, VEGFA), disturbed pathways (ribosome, ubiquitin mediated proteolysis, focal adhesion, Fc?R-mediated phagocytosis, etc.) and miRNAs (hsa-miR-330-3p, hsa-miR-126, etc.) might be closely related to NAFLD progression. These results might contribute to understanding NAFLD mechanism, conducting experimental researches, and designing clinical practices.

Inhibition effect of miR-577 on hepatocellular carcinoma cell growth via targeting ß-catenin.

OBJECTIVE: To investigate the expression and the regulation effect of cell growth of microRNA-577 in hepatocellular carcinoma (HCC). METHODS: qRT-PCR was applied to detect the relative expression of miR-577 in 70 paired HCC and matched tumor adjacent tissues collecting from resection between March 2011 and March 2014. Pearson chi-square test was used to analyze the relationship between the miR-577 expression and clinical features. The miR-577 mimics were transfected into HepG2 cells; cell cycles were detected by flow cytometry, cell proliferation was measured by MTT assay and BrdU incorporation assay, and cell apoptosis was determined by flow cytometry and caspase3/7 activity analysis. The expressions of ß-catenin were measured by immunohistochemistry. Spearman correlation analysis was used to analyze the relationship between miR-577 and ß-catenin. qRT-PCR and western-blot were used to detect the expression of ß-catenin in transfected HepG2 cells. RESULTS: The relative expressions of miR-577 was significantly lower in HCC tissues compared to the matched normal tumor-adjacent tissues (P < 0.05). Low expression of miR-577 was significantly associated with large tumor size (≥5 cm, P < 0.05) and advanced tumor node metastasis stage (III+IV, P < 0.05). Transfection of miR-577 mimics could inhibit repress cell proliferation, enhance cell apoptosis and block the cell cycles in G0/G1 phase (P < 0.05). miR-577 in HCC group had a significant negative correlation relationship with the expression of downstream target of ß-catenin (P < 0.05). Both the mRNA and protein expression in HepG2 cells were down-regulated after transfection (P < 0.05). CONCLUSIONS: Low expression of miR-577 is related to the malignant clinicopathological features in HCC tissues, and miR-577 may suppress HCC growth through down-regulating ß-catenin.

MicroRNA-101 inhibits proliferation of pulmonary microvascular endothelial cells in a rat model of hepatopulmonary syndrome by targeting the JAK2/STAT3 signaling pathway.

Hepatopulmonary syndrome (HPS) is one of the reasons for the mortality of patients with perioperative liver disease. Intrapulmonary vascular dilatation is the most important mechanism underlying HPS, and it primarily occurs due to cell proliferation. Inhibiting the proliferation of pulmonary microvascular endothelial cells (PMVECs) may provide a novel strategy to prevent HPS. MicroRNAs (miRNAs) regulate gene expression and are crucial in cell proliferation. To investigate the mechanism underlying the proliferation of PMVECs in HPS, PMVECs were isolated from rat models of HPS. It was demonstrated that interleukin (IL)­6 could stimulate the janus kinase 2 (JAK2)/ signal transducer and activator of transcription (STAT3) signaling pathway, which promotes the cell proliferation of PMVECs. JAK2 is a novel target gene of miR-101 and it was shown that miR-101 could inhibit cell proliferation by targeting the IL-6/JAK2/STAT3 signal pathway. In conclusion, the present study demonstrated that miR-101 could inhibit the proliferation of PMVECs by targeting the IL-6/JAK2/STAT3 signaling pathway. This clarifies the role of miR-101 in HPS and provides the theoretical basis of the pathogenesis of HPS.

A functional module-based exploration between inflammation and cancer in esophagus.

Inflammation contributing to the underlying progression of diverse human cancers has been generally appreciated, however, explorations into the molecular links between inflammation and cancer in esophagus are still at its early stage. In our study, we presented a functional module-based approach, in combination with multiple data resource (gene expression, protein-protein interactions (PPI), transcriptional and post-transcriptional regulations) to decipher the underlying links. Via mapping differentially expressed disease genes, functional disease modules were identified. As indicated, those common genes and interactions tended to play important roles in linking inflammation and cancer. Based on crosstalk analysis, we demonstrated that, although most disease genes were not shared by both kinds of modules, they might act through participating in the same or similar functions to complete the molecular links. Additionally, we applied pivot analysis to extract significant regulators for per significant crosstalk module pair. As shown, pivot regulators might manipulate vital parts of the module subnetworks, and then work together to bridge inflammation and cancer in esophagus. Collectively, based on our functional module analysis, we demonstrated that shared genes or interactions, significant crosstalk modules, and those significant pivot regulators were served as different functional parts underlying the molecular links between inflammation and cancer in esophagus.

Bufalin promotes apoptosis of gastric cancer by down-regulation of miR-298 targeting bax.

Bufalin is used to treat many patients with solid malignant tumors clinically. Bufalin could induce gastric cancer cell apoptosis via BAX. microRNA (miRNA) plays important roles in gene regulation. However, miRNA involving in bufalin inducing apoptosis of gastric cancer cells remains to futher research. To study the regulatory role of miRNA in bufalin induced cancer cell apoptosis. Firstly, we verifed that bufalin could induce gastric cancer cell apoptosis by inducing BAX expression. miR-298 was predicted as a regulator of BAX and further study verified Bax was a target gene of miR-298 by luciferase reporter assay. miR-298 could down-regulate BAX on mRNA and protein level in gastric cancer cells. miR-298 promoted cell proliferation and inhibited apoptosis of gastric cancer cells. It was also found that bufalin inhibited cell proliferation and promoted cell apoptosis by down-regualtion of miR-298. In summary, bufalin-associated miR-298 may indirectly be involved in cell proliferation and apoptosis by targeting BAX, pointing to use as a potential molecular target in gastric cancer therapy.

A network biology approach to discover the molecular biomarker associated with hepatocellular carcinoma.

In recent years, high throughput technologies such as microarray platform have provided a new avenue for hepatocellular carcinoma (HCC) investigation. Traditionally, gene sets enrichment analysis of survival related genes is commonly used to reveal the underlying functional mechanisms. However, this approach usually produces too many candidate genes and cannot discover detailed signaling transduction cascades, which greatly limits their clinical application such as biomarker development. In this study, we have proposed a network biology approach to discover novel biomarkers from multidimensional omics data. This approach effectively combines clinical survival data with topological characteristics of human protein interaction networks and patients expression profiling data. It can produce novel network based biomarkers together with biological understanding of molecular mechanism. We have analyzed eighty HCC expression profiling arrays and identified that extracellular matrix and programmed cell death are the main themes related to HCC progression. Compared with traditional enrichment analysis, this approach can provide concrete and testable hypothesis on functional mechanism. Furthermore, the identified subnetworks can potentially be used as suitable targets for therapeutic intervention in HCC.

Uncovering the pathogenesis and identifying novel targets of pancreatic cancer using bioinformatics approach.

Pancreatic cancer is a uniformly lethal disease that can be difficult to diagnose at its early stage. Thus, our present study aimed to explore the underlying mechanism and identify new targets for this disease. The data GSE16515, including 36 tumor and 16 normal samples were available from Gene Expression Omnibus. Differentially expressed genes (DEGs) were screened out using Robust Multichip Averaging and LIMMA package. Moreover, gene ontology and pathway enrichment analyses were performed to DEGs. Followed with protein-protein interaction (PPI) network construction by STRING and Cytoscape, module analysis was conducted using ClusterONE. Finally, based on PubMed, text mining about these DEGs was carried out. Total 274 up-regulated and 93 down-regulated genes were identified as the common DEGs and these genes were discovered significantly enriched in cell adhesion and extracellular region terms, as well as ECM-receptor interaction pathway. In addition, five modules were screened out from the up-regulated PPI network with none in down-regulated network. Finally, the up-regulated genes, including MIA, MET and CEACAMS, and down-regulated genes, such as FGF, INS and LAPP, had the most references in text mining analysis. Our findings demonstrate that the up- and down-regulated genes play important roles in pancreatic cancer development and might be new targets for the therapy.

Global gene expression distribution in non-cancerous complex diseases.

For gene expression in non-cancerous complex diseases, we systemically evaluated the sensitivities of biological discoveries to violation of the common normalization assumption. Our results indicated that gene expression may be widely up-regulated in digestive system and musculoskeletal diseases. However, global signal intensities showed little difference in other four disease types.

Construction of pancreatic cancer double-factor regulatory network based on chip data on the transcriptional level.

Transcription factor (TF) and microRNA (miRNA) have been discovered playing crucial roles in cancer development. However, the effect of TFs and miRNAs in pancreatic cancer pathogenesis remains vague. We attempted to reveal the possible mechanism of pancreatic cancer based on transcription level. Using GSE16515 datasets downloaded from gene expression omnibus database, we first identified the differentially expressed genes (DEGs) in pancreatic cancer by the limma package in R. Then the DEGs were mapped into DAVID to conduct the kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis. TFs and miRNAs that DEGs significantly enriched were identified by Fisher's test, and then the pancreatic cancer double-factor regulatory network was constructed. In our study, total 1117 DEGs were identified and they significantly enriched in 4 KEGG pathways. A double-factor regulatory network was established, including 29 DEGs, 24 TFs, 25 miRNAs. In the network, LAMC2, BRIP1 and miR155 were identified which may be involved in pancreatic cancer development. In conclusion, the double-factor regulatory network was found to play an important role in pancreatic cancer progression and our results shed new light on the molecular mechanism of pancreatic cancer.