Phosphorylation of PPDPF via IL6-JAK2 activates the Wnt/ß-catenin pathway in colorectal cancer.

Inflammation plays an important role in the initiation and progression of colorectal cancer (CRC) and leads to ß-catenin accumulation in colitis-related CRC. However, the mechanism remains largely unknown. Here, pancreatic progenitor cell differentiation and proliferation factor (PPDPF) is found to be upregulated in CRC and significantly correlated with tumor-node-metastasis (TNM) stages and survival time. Knockout of PPDPF in the intestinal epithelium shortens crypts, decreases the number of stem cells, and inhibits the growth of organoids and the occurrence of azoxymethane (AOM)/dextran sodium sulfate (DSS)-induced CRC. Mechanistically, PPDPF is found to interact with Casein kinase 1α (CK1α), thereby disrupting its binding to Axin, disassociating the ß-catenin destruction complex, decreasing the phosphorylation of ß-catenin, and activating the Wnt/ß-catenin pathway. Furthermore, interleukin 6 (IL6)/Janus kinase 2 (JAK2)-mediated inflammatory signals lead to phosphorylation of PPDPF at Tyr16 and Tyr17, stabilizing the protein. In summary, this study demonstrates that PPDPF is a key molecule in CRC carcinogenesis and progression that connects inflammatory signals to the Wnt/ß-catenin signaling pathway, providing a potential novel therapeutic target.

Tumor- and metastasis-promoting roles of miR-488 inhibition via HULC enhancement and EZH2-mediated p53 repression in gastric cancer.

Dysregulation of microRNAs (miRNAs or miRs) is implicated in the development of gastric cancer (GC), which is possibly related to their roles in targeting tumor-suppressive or tumor-promoting genes. Herein, the current study was intended to ascertain the function of miR-488 and its modulatory mechanism in GC. Initially, human GC cells were assayed for their in vitro malignancy after miRNA gain- or loss-of-function and RNA interference or overexpression. Also, tumorigenesis and liver metastasis were evaluated in nude mouse models. Results demonstrated that miR-488 elevation suppressed GC (MKN-45 and OCUM-1) cell proliferation, migration, and invasiveness in vitro and reduced their tumorigenesis and liver metastasis in vivo. The luciferase assay identified that miR-488 bound to HULC and inhibited its expression. Furthermore, HULC could enhance EZH2-H3K27me3 enrichment at the p53 promoter region and epigenetically repress the p53 expression based on the data from RIP- and ChIP-qPCR assay. Additionally, HULC was validated to enhance GC growth and metastasis in vitro and in vivo. Overall, HULC re-expression elicited by miR-488 inhibition can enhance EZH2-H3K27me3 enrichment in the p53 promoter and repress the p53 expression, thus promoting the growth and metastasis of GC.

Deep learning network for medical volume data segmentation based on multi axial plane fusion.

BACKGROUND AND OBJECTIVE: High-dimensional data generally contains more accurate information for medical image, e.g., computerized tomography (CT) data can depict the three dimensional structure of organs more precisely. However, the data in high-dimension often needs enormous computation and has high memory requirements in the deep learning convolution networks, while dimensional reduction usually leads to performance degradation. METHODS: In this paper, a two-dimensional deep learning segmentation network was proposed for medical volume data based on multi-pinacoidal plane fusion to cover more information under the control of computation.This approach has conducive compatibility while using the model proposed to extract the global information between different inputs layers. RESULTS: Our approach has worked in different backbone network. Using the approach, DeepUnet's Dice coefficient (Dice) and Positive Predictive Value (PPV) are 0.883 and 0.982 showing the satisfied progress. Various backbones can enjoy the profit of the method. CONCLUSIONS: Through the comparison of different backbones, it can be found that the proposed network with multi-pinacoidal plane fusion can achieve better results both quantitively and qualitatively.

Neoadjuvant Intraperitoneal and Systemic Chemotherapy Versus Neoadjuvant Systemic Chemotherapy With Docetaxel, Oxaliplatin, and S-1 for Gastric Cancer With Peritoneal Metastasis: A Propensity Score Matched Analysis.

BACKGROUND: The optimal treatment for gastric cancer with peritoneal metastasis (GCPM) remains debatable. This study aimed to compare the efficacy and safety of neoadjuvant intraperitoneal and systemic chemotherapy (NIPS) versus neoadjuvant systemic chemotherapy (NSC) for GCPM. METHODS: Patients of GCPM received neoadjuvant chemotherapy with docetaxel, oxaliplatin and S-1 between January 2011 and June 2019 were retrospectively evaluated. Propensity score matched (PSM) analysis was carried out to reduce the selection bias. Multivariate Cox regression model was applied to screen the prognostic factors. RESULTS: After PSM processing, 71 patients in each group were matched among the 186 GCPM patients included. NIPS yielded a better ascites and cytology response to chemotherapy, higher conversion resection rate and R0 resection rate than NSC. The overall survival (OS) rate in NIPS group was better than that in NSC group. Multivariate analysis revealed that the P stage, ascites response, conversion surgery rate and R0 resection rate were independent prognostic factors. Subgroup analysis indicated that NIPS showed a survival benefit over NSC only in patients with cT3-4a, P1-2, whose cytology turned negative, and who received conversion surgery; while not in patients with cT4b, P0 or P3, whose cytology did not turn negative, or who did not receive conversion surgery. CONCLUSIONS: NIPS is a safe and feasible treatment for GCPM, which showed more benefit than NSC.

A four-lncRNA signature for predicting prognosis of recurrence patients with gastric cancer.

PURPOSE: This study aimed to develop a multi-long noncoding RNA (lncRNA) signature for the prediction of gastric cancer (GC) based on differential gene expression between recurrence and nonrecurrence patients. METHODS: By repurposing microarray expression profiles of RNAs from The Cancer Genome Atlas (TCGA), we performed differential expression analysis between recurrence and nonrecurrence patients. A prognostic risk prediction model was constructed based on data from TCGA database, and its reliability was validated using data from Gene Expression Omnibus database. Furthermore, the lncRNA-associated competing endogenous RNA (ceRNA) network was constructed, namely, DIANA-LncBasev2 and starBase database. RESULTS: We identified 363 differentially expressed RNAs (317 mRNAs, 18 lncRNAs, and 28 microRNAs [miRNAs]). Principal component analysis showed that the seven-feature lncRNAs screened by support vector machine-recursive feature elimination algorithm was more informative for predicting recurrence of GC in comparison with the eight-feature lncRNAs screened by random forest-out-of-bag algorithm. Four of the seven-feature lncRNAs including LINC00843, SNHG3, C21orf62-AS1, and MIR99AHG were chosen to develop a four-lncRNA risk score model. This risk score model was able to distinguish patients with high and low risk of recurrence, and was tested in two independent validation sets. The ceRNA network of this four-lncRNA signature included 10 miRNAs and 178 mRNAs. The mRNAs significantly related to the Wnt-signaling pathway and relevant biological processes. CONCLUSION: A useful four-lncRNA signature recurrence was established to distinguish GC patients with high and low risk of recurrence. Regulating the relevant miRNAs and Wnt pathway might partly affect GC metastasisby.

CircHIPK3 Promotes the Tumorigenesis and Development of Gastric Cancer Through miR-637/AKT1 Pathway.

Circular RNA is a kind of RNA with a covalently closed loop, which has a complex ability to modulate genes in the process of tumorigenesis and metastasis. Nevertheless, how circular RNA functions in gastric cancer (GC) remains unclear. The effect of circHIPK3 in vitro was studied here. Quantitative real-time PCR (qRT-PCR) was employed to found that circHIPK3 markedly increased in GC tissues and cell lines. And low expression of circHIPK3 suppressed the GC cells growing and metabolizing. Then the bioinformatics tool predicted the downstream target of circHIPK3, and it was proved by the dual-luciferase report experiment. According to the results of bioinformatics analysis and experimental data, it was clarified that circHIPK3 acted as a sponge of miR-637, releasing its direct target AKT1. The dual-luciferase assay revealed that mir-637 could bind circHIPK3 and AKT1. qRT-PCR data indicated that overexpression circHIPK3 led to the low level of miR-637 and overexpressed miR-637 would reduce AKT1 level. Finally, we demonstrated that the low expression of miR-637 or overexpression of AKT1 could attenuate the anti-proliferative effects of si-circHIPK3. These results suggest that the circHIPK3/miR-637/AKT1 regulatory pathway may be associated with the oncogene and growth of gastric cancer. In short, a new circular RNA circHIPK3 and its function are identified, and the regulatory pathway of circHIPK3/miR-637/AKT1 in the tumorigenesis and development of gastric cancer is discovered.

Comparison of Docetaxel + Oxaliplatin + S-1 vs Oxalipatin + S-1 as Neoadjuvant Chemotherapy for Locally Advanced Gastric Cancer: A Propensity Score Matched Analysis.

BACKGROUND: What is the optimal neoadjuvant chemotherapy (NAC) regimen for locally advanced gastric cancer (LAGC) remains debatable. The objective of this study was to compare the efficacy of docetaxel+oxaliplatin+S-1 (DOS) vs oxaliplatin+S-1 (SOX) as NAC for LAGC. METHODS: Data of 248 LAGC patients who received either DOS or SOX as NAC in our hospital between January 2010 and January 2018 were reviewed retrospectively. Propensity score matched (PSM) analysis was applied to minimize the selection bias in both groups. Prognostic factors were screened by univariate and multivariate Cox regression analyses. RESULTS: Of the 248 LAGC patients included, 180 patients were subjected to the PSM analysis. Patients in DOS group showed a better tumor response to NAC, higher radical resection rate and R0 resection rate than those in SOX group. The overall survival (OS) rate in DOS group was better than that in SOX group, although the overall incidence of Grade 3/4 NAC-related toxicity in DOS group was higher, as represented by leukopenia and neutropenia. Multivariate analysis revealed that the NAC regimen, cTNM stage and the R0 resection rate were independent prognostic factors. In addition, patients with TLND less than 16 population showed a worse OS rate. Subgroup analysis indicated that patients benefited from the addition of docetaxel regardless of the clinical T stage, but those with high clinical N stages (N2-3) did not. CONCLUSION: DOS is a safe and feasible NAC regimen for LAGC, which is worth popularizing in clinical practice.

ADR-Net: Context extraction network based on M-Net for medical image segmentation.

PURPOSE: Medical image segmentation is an essential component of medical image analysis. Accurate segmentation can assist doctors in diagnosis and relieve their fatigue. Although several image segmentation methods based on U-Net have been proposed, their performances have been observed to be suboptimal in the case of small-sized objects. To address this shortcoming, a novel network architecture is proposed in this study to enhance segmentation performance on small medical targets. METHODS: In this paper, we propose a joint multi-scale context attention network architecture to simultaneously capture higher level semantic information and spatial information. In order to obtain a greater number of feature maps during decoding, the network concatenates the images of side inputs by down-sampling during the encoding phase. In the bottleneck layer of the network, dense atrous convolution (DAC) and multi-scale residual pyramid pooling (RMP) modules are exploited to better capture high-level semantic information and spatial information. To improve the segmentation performance on small targets, the attention gate (AG) block is used to effectively suppress feature activation in uncorrelated regions and highlight the target area. RESULTS: The proposed model is first evaluated on the public dataset DRIVE, on which it performs significantly better than the basic framework in terms of sensitivity (SE), intersection-over-union (IOU), and area under the receiver operating characteristic curve (AUC). In particular, the SE and IOU are observed to increase by 7.46% and 5.97%, respectively. Further, the evaluation indices exhibit improvements compared to those of state-of-the-art methods as well, with SE and IOU increasing by 3.58% and 3.26%, respectively. Additionally, in order to demonstrate the generalizability of the proposed architecture, we evaluate our model on three other challenging datasets. The respective performances are observed to be better than those of state-of-the-art network architectures on the same datasets. Moreover, we use lung segmentation as a comparative experiment to demonstrate the transferability of the advantageous properties of the proposed approach in the context of small target segmentation to the segmentation of large targets. Finally, an ablation study is conducted to investigate the individual contributions of the AG block, the DAC block, and the RMP block to the performance of the network. CONCLUSIONS: The proposed method is evaluated on various datasets. Experimental results demonstrate that the proposed model performs better than state-of-the-art methods in medical image segmentation of small targets.

Clinical exome sequencing identified POLB c.C1002A as a possible genetic cause in a family with hereditary cancer-predisposing syndrome.

This study recruited a Chinese family with hereditary cancer-predisposing syndrome. To investigate the causative mutations, disease-associated exome sequencing was conducted using peripheral blood of three members with malignant disease. As a result, three variants (PLD2 c. C1951T, RAB3GAP1 c.A701G and POLB c.C1002A) came out to be the potential candidate pathogenic mutations, which were not reported before. Sanger sequencing was used to validate the candidate variant in seven healthy members of this family. The candidate variant POLB c.C1002A was proved to co-segregate with malignant diseases, which was selected through a series of filtering criteria. This study thus identified POLB c.C1002A as a potential causative variant for hereditary cancer-predisposing syndrome.

FAM84B, amplified in pancreatic ductal adenocarcinoma, promotes tumorigenesis through the Wnt/ß-catenin pathway.

Altered expression of family with sequence similarity 84, member B (FAM84B) has been found in various human cancers. However, the expression and function of FAM84B in pancreatic ductal adenocarcinoma (PDAC) has not been studied. Here, by analyzing The Cancer Genome Atlas cohort, we found that FAM84B amplification was observed in 11% of 141 PDAC patients, and FAM84B amplification was correlated with higher mRNA expression of FAM84B. FAM84B amplification and overexpression was significantly correlated with poor overall survival. Moreover, knockdown of FAM84B in PDAC cell lines suppressed cell proliferation and induced apoptosis. FAM84B knockdown also suppressed mitochondrial function and glycolysis of PDAC cells. Interestingly, knockdown of FAM84B decreased the nuclear accumulation of ß-catenin, and the expression of c-Myc and lactate dehydrogenase A, but enhanced the expression of Survivin. On the contrary, FAM84B overexpression displayed reversed effects in cell proliferation, apoptosis, mitochondrial function, and glycolysis, which was blocked by the Wnt/ß-catenin pathway inhibitor (XAV939). In addition, PDAC cells with lower expression of FAM84B were more sensitive to gemcitabine-induced cell proliferation inhibition both in vitro and in vivo. In conclusion, FAM84B plays an important role in aerobic glycolysis and tumorigenesis in PDAC and Wnt/ß-catenin may be involved in this process.

miR-519 inhibits epithelial-mesenchymal transition and biologic behavior of gastric cancer cells by down-regulating FOXQ1.

In recent years, a number of studies have shown that forkhead box Q1 (FOXQ1) plays an important role in the process of epithelial-mesenchymal transition (EMT) of tumors. The aim of this study is to investigate the biologic functions of FOXQ1 and miR-519 in gastric cancer. It was found that FOXQ1 was highly expressed in gastric cancer cells and tumor tissues, and promoted proliferation, migration, invasion, and EMT of gastric cancer cells. miR-519 was weakly expressed in both gastric cancer tissues and gastric cancer cells, up-regulation of miR-519 inhibited the biologic behavior of gastric cancer cells, while down-regulation of miR-519 showed the opposite results. Additionally, miR-519 directly targeted FOXQ1 and inhibited FOXQ1 mRNA and protein expression. Overexpression of FOXQ1 in gastric cancer cells reversed the inhibitory effect of miR-519 on cellular biologic behavior. The results of the present study suggest that the abnormal expression of miR-519 and FOXQ1 may be closely related to gastric cancer development, and miR-519 may play an important role in suppressing tumor related genes in gastric cancer by targeting and regulating FOXQ1.

Phloretin flavonoid exhibits selective antiproliferative activity in doxorubicin-resistant gastric cancer cells by inducing autophagy, inhibiting cell migration and invasion, cell cycle arrest and targeting ERK1/2 MAP pathway.

PURPOSE: Studies have shown that Phloretin exerts anticancer effects on several types of cancer cells. Nonetheless, the anticancer effects of Phloretin have not been fully explored against the human gastric cancer cells. Therefore, this study was undertaken to evaluate the anticancer effects of Phloretin against the human gastric cancer cells. METHODS: Cell proliferation was evaluated by WST-1 assay while cell cycle analysis was carried out by flow cytometry. The effects on cell migration and invasion were evaluated by wound healing assay and transwell assays, respectively. Electron microscopy and western blot methods were used to study effects on autophagy and ERK1/2/MAPK signalling pathway. RESULTS: The results showed that Phloretin inhibited the proliferation rate of the human SNU-1 gastric cancer cells and showed an IC50 of 18 µM. However, Phloretin showed very high IC50 (80 µM) against the normal GES-1 normal gastric cells. Electron microscopy showed that Phloretin triggered autophagy in the SNU-1 gastric cancer cells which was accompanied by enhancement in the expression of LC3B II and Beclin 1. Cell cycle analysis showed that Phloretin caused accumulation of the SNU-1 cells in the G0/G1 phase of the cell cycle triggering G0/G1 cell cycle arrest. The G0/G1 arrest of SNU-1 cells was also associated with depletion of cyclin D1 and D2 expression. Wound healing and transwell assays showed that Phloretin suppressed the migration of the SNU-1 gastric cancer cells, suggestive of the anti-metastatic potential of this molecule. Finally, this molecule also blocked the ERK1/2/MAPK signalling pathway in SNU-1 cells in a concentration-dependent manner. CONCLUSIONS: Phloretin may prove beneficial as a promising drug candidate for gastric cancer treatment provided further studies are carried out on it, especially toxicological studies.

Preoperative Oral Carbohydrate Reduces Postoperative Insulin Resistance by Activating AMP-Activated Protein Kinase after Colorectal Surgery.

BACKGROUND: Postoperative insulin resistance (PIR) is a common response after colorectal surgery and an independent risk factor for recovery. Preoperative oral carbohydrate (POC) has been known to reduce PIR. Herein, we investigated whether its mechanism of action involves AMP-activated protein kinase (AMPK) and mTOR/S6K1/insulin receptor substrate-1 (IRS-1) pathways. METHODS: Patients undergoing colorectal cancer resection were randomly assigned to a POC, fasting, or placebo group. The exclusion criteria were association with diseases or intake of medication affecting insulin sensitivity. Pre- and postoperative insulin resistance, and protein phosphorylation of AMPK, mTOR, and IRS-1 in the rectus abdominis muscle were evaluated. RESULTS: From January 2017 to December 2017, 70 patients were randomized and 63 were evaluated. No difference was found in the clinical and operative characteristics among the 3 groups. In the POC group, the levels of blood glucose, blood insulin, and homeostasis model assessment of insulin resistance were significantly lower in the POC group than the fasting and placebo groups, and the insulin sensitivity index was significantly higher. The phosphorylation of AMPK in the POC group was significantly higher than that in the other 2 groups, whereas the phosphorylation of mTOR and IRS-1 was significantly lower. CONCLUSION: PIR involves AMPK and mTOR/S6K1/IRS-1 pathways. POC reduces PIR by the stimulation of AMPK, which suppresses the phosphorylation of mTOR/IRS-1 and attenuates PIR after colorectal resection.

Metformin inhibits the senescence and senescence-associated secretory phenotype of gastric cancer BGC823 cells induced by doxorubicin / 中国肿瘤生物治疗杂志

@#[Abstract] Objective: To investigate the effect of metformin on the senescence-associated secretory phenotype (SASP) of doxorubicin-induced gastric cancer BGC823 cells. Methods: Human gastric cancer BGC823 cells were cultured in vitro and treated with doxorubicin at gradient concentrations (50, 100, 150 and 200 nmol/L). Cell senescence was detected by SA-β-gal staining, and SASP factor expression was detected by ELISA. The effects of metformin on cell senescence and SASP factor secretion induced by doxorubicin (100 nmol/L) were observed by adding gradient concentrations of metformin (0, 5, 10 and 20 mmol/L). Results: With the increase of doxorubicin concentration and treatment time, the senescence rate of gastric cancer BGC823 cells increased first and then decreased. At 96 h after 100 nmol/L doxorubicin treatment, the peak aging rate reached 68.7%, accompanied with significantly increased expressions of SASP factors IL-1a, IL-6, IL-8 and CXCL1. The proportion of senescent cells was (55.2±1.9)%, (48.7±2.2)% and (40.8±2.3)% respectively under the effects of 5, 10 and 20 mmol/L metformin, which was significantly lower than that in the non-metformin treatment group (P< 0.01). At the same time, with the increase of metformin concentration, the production of SASP factors IL-1α, IL-6, IL-8 and CXCL1 showed a gradient decline. Compared with the non-metformin treatment group, IL-6 and IL-8 decreased significantly under the effect of metformin above 10 mmol/L (P<0.05 or P<0.01), while IL-1α and CXCL1 decreased significantly under the effect of 20 mmol/L metformin (all P<0.05). Conclusion: Metformin can inhibit the senescence and SASP production of gastric cancer cells induced by doxorubicin.

[Development of Portable Bowel Sound Monitor].

This paper designs and implements a low power portable bowel sound monitor, which adopts bone conduction transducer to collect bowel sound continuously for long time and transmit to phone by Bluetooth. Then the phone application can record, play and analyse the bowel sound digital data in real time. This paper also designs an experiment to collect bowel sound from healthy people and patients with intestinal obstruction. It is verified by clinicians that this monitor can accurately record and preserve the bowel sound of the detected people, and is not disturbed by the external environment.

MiR-760 enhances sensitivity of pancreatic cancer cells to gemcitabine through modulating Integrin ß1.

Pancreatic cancer (PC) is the most lethal tumor type among human diseases, with low survival rate. The investigation of potent molecular mechanisms involved in PC is still obscure owing to its drug resistance. The purpose of the present study is to disclose the underlying mechanism participating in PC progression and drug therapy, reversing the unpromising treatment outcome. In our research, microRNA-760 (miR-760) was first revealed to be lowly expressed in PC cells. And up-regulation of miR-760 could further suppress PC cell proliferation and boost cell apoptosis, as well as improve gemcitabine sensitivity of PC cells through gain-of-function assays. Besides, RNA-binding protein (RBP) MOV10 interacted with and stabilized Integrin ß1 (ITGB1). Furtherly, miR-760 was proved to target Moloney leukemia virus 10 (MOV10) mRNA to decrease MOV10 protein expression, thus promoting the destabilization of ITGB1. At last, rescue experiments validated that up-regulation of ITGB1 remedied the miR-760 overexpression-caused inhibition on biological activities and gemcitabine resistance of PC cells. To summarize, the current inspection demonstrated that miR-760 enhances sensitivity of PC cells to gemcitabine through modulating MOV10-stablized ITGB1, highlighting the role of miR-760/MOV10/ITGB1 pathway in the drug therapy for PC patients.

Potential mechanisms of sleeve gastrectomy for reducing weight and improving metabolism in patients with obesity.

Obesity is a severe medical problem endangering the health of individuals worldwide. Sleeve gastrectomy (SG), one of the most commonly performed bariatric procedures, has been widely applied to the treatment of such patients. Currently, the potential mechanisms underlying the significant weight loss and metabolic improvement after SG have been well studied. First, and most importantly, by removing a large volume of stomach, the SG directly or indirectly restricts food intake. Then, there are alterations in the absorption and metabolism of both macro- and micronutrients, which may benefit or worsen the patients' well-being. Another profound change is enhanced secretion of the satiety gut hormone and reduced secretion of the hunger hormone as a consequence of the operation. Additionally, adjustment of gastrointestinal motility, alteration in the gut microbial community, and an inflammatory response were found after surgery. Therefore, the purpose of the present review was focused on such hypotheses and to compile the accumulated facts on the physiologic mechanism of bariatric surgery so that these results can help improve the understanding of how SG produces substantial weight loss and a significant improvement in the metabolism of patients with metabolic syndrome.

Five-long non-coding RNA risk score system for the effective prediction of gastric cancer patient survival.

The prognosis for patients with gastric cancer (GC) is usually poor, as the majority of patients have reached the advanced stages of disease at the point of diagnosis. Therefore, revealing the mechanisms of GC is necessary for the identification of key biomarkers and the development of effective targeted therapies. The present study aimed to identify long non-coding RNAs (lncRNAs) prominently expressed in patients with GC. The GC dataset (including 384 GC samples) was downloaded from The Cancer Genome Atlas database as the training set. A number of other GC datasets were obtained from the Gene Expression Omnibus database as validation sets. Following data processing, lncRNAs were annotated, followed by co-expression module analysis to identify stable modules, using the weighted gene co-expression network analysis (WGCNA) package. Prognosis-associated lncRNAs were screened using the 'survival' package. Following the selection of the optimal lncRNA combinations using the 'penalized' package, risk score systems were constructed and assessed. Consensus differentially-expressed RNAs (DE-RNAs) were screened using the MetaDE package, and an lncRNA-mRNA network was constructed. Additionally, pathway enrichment analysis was conducted for the network nodes using gene set enrichment analysis (GSEA). A total of seven modules (blue, brown, green, grey, red, turquoise and yellow) were obtained following WGCNA analysis, among which the green and turquoise modules were stable and associated with the histological grade of GC. A total of 12 prognosis-associated lncRNAs were identified in the two modules. Combined with the optimal lncRNA combinations, risk score systems were constructed. The risk score system based on the green module [including ITPK1 antisense RNA 1 (ITPK1-AS1), KCNQ1 downstream neighbor (KCNQ1DN), long intergenic non-protein coding RNA 167 (LINC00167), LINC00173 and LINC00307] was the more efficient at predicting risk compared with those based on the turquoise, or the green + turquoise modules. A total of 1,105 consensus DE-RNAs were identified; GSEA revealed that LINC00167, LINC00173 and LINC00307 had the same association directions with 4 pathways and the 32 genes involved in those pathways. In conclusion, a risk score system based on the green module may be applied to predict the survival of patients with GC. Furthermore, ITPK1-AS1, KCNQ1DN, LINC00167, LINC00173 and LINC00307 may serve as biomarkers for GC pathogenesis.

[Development of Abdominal Vacuum Extractor Characterized by Portability and Constant Negative Pressure Which Applying to Battlefield].

There are some problems such as difficulty of pressure control, inconvenience of use and carry, congested easily and dredged hardly in clinical application of vacuum extractor in common use. For solving the above problems, researchers have designed a new portable and pressure stabilized abdominal drainage system which was composed of integral double spherical aspirator and separated double cannula. The new apparatus has achieved good effects in drainage which is suitable for not only rescuing of abdominal trauma and war wound, but also abdominal surgery that manifested as sucking safe and effective, using easily and convenient, that was verified by testing.