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Gastric cancer (GC) is a common malignant solid tumor that is characterized by high hypoxia. The transcription of genes associated with hypoxia affects tumor occurrence and development. Long non-coding RNAs (lncRNAs) have been reported to play important roles in cancer development. In this study, we screened for differentially expressed ncRNAs (non-coding RNA) and mRNAs between hypoxia-inducible factor-1 (HIF-1α) knockdown GC cells and scrambled GC cells. Microarray data revealed that HIF-1α regulated the expression of LINC01355 (Hypoxia Yield Proliferation Associated LncRNA, HYPAL). HYPAL was found to be significantly upregulated in GC cells and tissues and was correlated with poor GC prognosis. Chromatin immunoprecipitation (ChIP) and luciferase reporter assays revealed that HIF-1α promoted HYPAL expression by binding the promoter region. A regulatory network for the competing endogenous RNA (ceRNA) was constructed using bioinformatics tools. Mechanistic studies revealed that HYPAL acted as a ceRNA of miR-431-5p to regulate CDK14 expression. Carcinogenic effects of HYPAL were evaluated in vitro and in vivo. The HIF-1α/HYPAL/miR-431-5p/CDK14 (Cyclin-dependent kinase 14) axis activated the Wnt/β-catenin signaling pathway and induced GC cell proliferation while inhibiting apoptosis. In conclusion, HYPAL is a potential molecular target for GC therapy.

Background Gastric cancer (GC) accounts for high mortality. RNA methylation has recently gained interest as markers in specific tumors. This study aimed to uncover the function of the roles of 25 RNA methylation regulators in GC. Methods RNA sequence and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database. "STRING" and R were performed to analyze the correlation among the methylase. COX and LASSO were performed to screen for prognostic associated RNA methylation regulators. A prognostic model was established based on the expression of methylase. RT-PCR and immunohistochemistry detected the expression of methylase in GC cells and tissue. Kaplan-Meier curve and Cox analysis were applied to evaluate the effectiveness of the model. Results The prediction model was established based on the expression of m6A RNA methylation regulators FTO (fat mass and obesity-associated) and RBM15 (RNA binding motif protein 15). Based on the model, GC patients were divided into "high risk" and "low risk" groups to compare the differences in survival. The model was re-evaluated with the clinical data of our center. Conclusion The two-methylase combination model was an independent prognostic factor of GC.

Aim Traditional non-invasive diagnostic markers for gastric cancer (GC) exhibit insufficient sensitivity and specificity. Circulating exosomes are clinically useful non-invasive biomarkers for tumor diagnosis. In addition to their potential role in cancer biology, circulating long non-coding RNAs (lncRNAs) are a new class of promising cancer biomarkers. In the present study, we aimed to identify lncRNAs in circulating exosomes with potential as biomarkers for GC detection. Methods We compared the expression of CEBPA-AS1 between GC cells and gastric epithelial cells. The biological function of exosomal CEBPA-AS1 was determined by cell phenotype experiments and rescue assays. We also compared the expression of CEBPA-AS1 in cancerous tissue from GC patients and corresponding adjacent normal tissues, as well as the expression of CEBPA-AS1 in plasma exosomes of GC patients and healthy controls. Diagnostic accuracy was assessed by the receiver operating characteristic (ROC) curve and area under the curve (AUC). Results CEBPA-AS1 was highly expressed in both GC cells and in exosomes secreted by GC cells. In addition, CEBPA-AS1-containing exosomes secreted by GC cells could promote cell proliferation and inhibit apoptosis, thereby inducing the malignant behavior of GC cells. The level of CEBPA-AS1 was also significantly increased in tissues and plasma exosomes of GC patients. Stability tests showed that most plasma CEBPA-AS1 was encased in exosomes, thus avoiding degradation by RNases. We evaluated the diagnostic accuracy of exosome-derived CEBPA-AS1. The AUC value of CEBPA-AS1 in discriminating GC patients from healthy controls was 0.824, which was higher than the diagnostic accuracy of other traditional tumor biomarkers. Conclusion CEBPA-AS1-containing exosomes secreted from GC cells could promote cell proliferation, inhibit apoptosis, and induce GC progression, indicating that exosomal CEBPA-AS1 is involved in cell-to-cell communication in GC carcinogenesis. Exosomal CEBPA-AS1 is a promising new biomarker for clinical diagnosis of GC.

Background: Electrolyte disturbance and systemic inflammation contributes to poor prognosis of cancer patients. Levels of serum sodium and globulin can reflect electrolyte homeostasis and inflammatory state, respectively, therefore have potential as prognostic factors for cancer patients. In this study, we hypothesized that sodium to globulin ratio (SGR) could have superior accuracy in predicting cancer patient survival, than sodium and globulin alone. We therefore sought to investigate its efficacy in prognosis of patients with advanced gastric cancer (GC) receiving first-line chemotherapy. Methods: A total of 265 patients, with advanced GC, were recruited in this retrospective study from January 2014 to January 2019. We first determined SGR cut-off values using the receiver operating characteristic (ROC) analysis, then analyzed the relationship between pretreatment SGR and clinicopathological features and the effect of chemotherapy. Finally, we evaluated progression-free survival (PFS) and overall survival (OS) rates of the entire and subgroup populations using univariate and multivariate logistic regressions. Results: SGR recorded a cut-off value of 5.54, and had a significantly higher area under the curve (AUC) value (0.619, p = 0.001) than fibrinogen (0.575, p = 0.034) and albumin (0.610, p = 0.002) alone. Organ metastasis, and peritoneal invasion ratios, as well as neutrophil and CA72-4 levels varied significantly between the low-SGR (SGR≤ 5.54) and high SGR (SGR> 5.54) groups (all p < 0.05). Specifically, patients in the low-SGR group exhibited significantly lower disease control rates (83.4%) than those in the high-SGR group (97.2%) (p < 0.001). Results from multivariate analysis indicated that high-SGR was an independent risk factor for PFS (Hazard ratio [HR]: 0.539, p < 0.001) and OS (HR: 0.574, p < 0.001). Moreover, patients in the low-SGR group exhibited significantly worse PFS (134 vs. 221 days, p < 0.001) and OS (311 vs. 420 days, p < 0.001) than those in the high-SGR group. Furthermore, subgroup analysis revealed that SGR was still a powerful prognostic indicator in GC patients with good prognosis or normal biochemical indexes, including no peritoneal infiltration, normal neutrophil counts, and normal serum sodium and globulin levels (all p < 0.001). Conclusions: Overall, our findings indicate that SGR is a novel and promising prognostic factor for GC patients. It has superior accuracy, to sodium and globulin alone, hence it is a powerful tool for evaluating effects of treatment, PFS, and OS in patients with advanced GC, who receive first-line chemotherapy.

This study investigates a compact and straightforward self-decoupled $2\times 2$ multiple-input multiple-output (MIMO) antenna set and its applications for current and future 5G terminal devices. The proposed self-decoupled MIMO antennas include a popularly used loop antenna and a compact loop-type ground-radiation antenna without utilizing any supplementary decoupling structures or undergoing complex tuning process. It is revealed that the loop antenna and the ground-radiation antenna can be modeled as an electric-current element and a magnetic-current element, respectively. This orthogonality allows the self-decoupled characteristic of the proposed MIMO antennas even though the antenna elements are tightly arranged and collocated together. An $8\times 8$ MIMO antenna system is further demonstrated for 5G MIMO applications, where both simulation and measurement are conducted to validate the feasibility of the proposed technique. It is concluded that the proposed MIMO antenna system is a smart way to generate high isolation and low correlation characteristics while having advantages of low profile and easy fabrication so that it can be recognized as a promising candidate for 5G applications.

Long noncoding RNA NALT1-induced gastric cancer invasion and metastasis via NOTCH signaling pathway

This paper proposes a simple and efficient technique to improve the antenna radiation performance in stacked printed circuit boards (PCBs) for Internet-of-Things (IoT) applications. In the ...

N6-Methyladenosine (m6A) is the most common posttranscriptional modification of RNA and plays critical roles in cancer pathogenesis. However, the biological function of long noncoding RNA (lncRNA) methylation remains unclear. As a demethylase, ALKBH5 (alkylation repair homolog protein 5) is involved in mediating methylation reversal. The purpose of this study was to investigate lncRNA m6A modification and its role in gastric cancer (GC). Bioinformatics predicted interactions of ALKBH5 with lncRNAs. Five methods were employed to assess the function of nuclear paraspeckle assembly transcript 1 (NEAT1), including gene silencing, RT-PCR, separation of nuclear and cytoplasmic fractions, scrape motility assays, and transwell migration assays. Then, m6A RNA immunoprecipitation and immunofluorescence were used to detect methylated NEAT1 in GC cells. Rescue assays were performed to define the relationship between NEAT1 and ALKBH5. NEAT1 is a potential binding lncRNA of ALKBH5. NEAT1 was overexpressed in GC cells and tissue. Additional experiments confirmed that knockdown of NEAT1 significantly repressed invasion and metastasis of GC cells. ALKBH5 affected the m6A level of NEAT1. The binding of ALKBH5 and NEAT1 influences the expression of EZH2 (a subunit of the polycomb repressive complex) and thus affects GC invasion and metastasis. Our findings indicate a novel mechanism by which ALKBH5 promotes GC invasion and metastasis by demethylating the lncRNA NEAT1. They may be potential therapeutic targets for GC.

Our previous study demonstrated that heterogeneous nuclear ribonucleoprotein AB (HNRNPAB) is a key gene that facilitates metastasis of hepatocellular carcinoma (HCC). However, the molecular mechanisms behind this relationship are not fully understood. In our study, we utilized long-noncoding RNA (lncRNA) microarrays to identify a HNRNPAB-regulated lncRNA named lnc-ELF209. Our findings from chromatin immunoprecipitation assays indicate that HNRNPAB represses lnc-ELF209 transcription by directly binding to its promoter region. We also analyzed clinical samples from HCC patients and cell lines with quantitative real-time polymerase chain reactions, RNA in situ hybridization and immunohistochemistry, and found that there is a negative relationship between HNRNPAB and lnc-ELF209 expression. Up/downregulation assays and rescue assays indicate that lnc-ELF209 inhibits cell migration, invasion and epithelial-mesenchymal transition regulated by HNRNPAB. This suggests a new regulatory mechanism for HNRNPAB-promoted HCC progression. RNA pull-down and LC-MS/MS were used to determine triosephosphate isomerase, heat shock protein 90-beta and vimentin may be involved in the tumor-suppressed function of lnc-ELF209. Furthermore, we found lnc-ELF209 could stabilize TPI protein expression. We also found that lnc-ELF209 overexpression in HCCLM3 cell resulted in a lower rate of lung metastatic, which suggested a less aggressive HCC phenotype. Collectively, these findings offer new insights into the regulatory mechanisms that underlie HNRNPAB cancer-promoting activities and demonstrate that lnc-ELF209 is a HNRNPAB-regulated lncRNA that may play an important role in the inhibition of HCC progression.

A compact dual-band loop-type antenna is proposed in a small-sized ground plane for Internet-of-Things (IoT) applications. The antenna element is comprised of two adjacent resonance loops, excited by two feeding loops at the back side of the substrate, to achieve independent control of dual-band IoT applications at 0.92 and 2.45 GHz, respectively. To improve the radiation performance of the lower band, the metal frames are adopted as ground-mode tuning structures to generate a new ground-mode resonance, producing dual-resonance characteristics at 0.9 GHz bands and generating greatly improved bandwidth and radiation efficiency. Therefore, both lower and higher bands with high performances are achieved in simulation and verified in measurement.

This study focuses on the generation of circular polarization (CP) in a small-sized ground plane by using ground-mode tuning (GMT) technique. The proposed antenna is composed of two branches, so th...

Background: Disrupted gene levels are intimately correlated with the occurrence and prognosis of gastric cancer (GC). As genes do not function in isolation, we set out to investigate the possible relationship among mRNA and non-coding RNAs (ncRNAs). Materials and methods: RNA sequencing from 406 cases of GC was acquired through the TCGA database. R packages were utilized to assess differential RNA expression. The competing endogenous RNA (ceRNA) network was predicted using miRcode, miRDB, mirTarBase, Target Scan and constructed by Cytoscape 3.6.1. GO enrichment analysis, KEGG pathway analysis, GSEA, and WGCNA were applied for pathway analysis. The expression of select candidate molecules was confirmed using western blot and RT-PCR in GC cells and tissues. CCK-8, EdU staining, and Transwell assays were conducted to assess the influence of candidate molecules on proliferation and invasion. The gain and loss-of-function were achieved by co-culture with sh-lncRNA, mimics and sh-mRNA. Luciferase reporters were created using the psiCHECK2 vector, and the relative luciferase activity was calculated. Results: Using data from TCGA, we determined differentially expressed RNAs and created a ceRNA regulatory network. Interestingly, we identified a regulatory complex surrounding ANGPT2. We detected that ANGPT2 was highly expressed in GC, which correlated with a worse prognosis. Our findings indicated that ANGPT2 encourages growth, invasion, and epithelial-mesenchymal transition (EMT) in GC. Importantly, miR-145 inhibits ANGPT2 and abrogates its effects. Furthermore, LINC00184, a ceRNA, blocks miR-145, thereby improving ANGPT2-mediated carcinogenesis. Conclusions: Our findings indicate that the LINC00184/miR-145/ANGPT2 pathway has a crucial function in the development of GC and can act as a possible biomarker and targets for GC therapy.

Background Gastric cancer (GC) is one of the most frequently diagnosed gastrointestinal cancers throughout the world. Novel prognostic biomarkers are required to predict the prognosis of GC. Aim To identify a multi-long noncoding RNA (lncRNA) prognostic model for GC. Methods Transcriptome data and clinical data were downloaded from The Cancer Genome Atlas. COX and least absolute shrinkage and selection operator regression analyses were performed to screen for prognosis associated lncRNAs. Receiver operating characteristic curve and Kaplan-Meier survival analyses were applied to evaluate the effectiveness of the model. Results The prediction model was established based on the expression of AC007991.4, AC079385.3, and AL109615.2 Based on the model, GC patients were divided into "high risk" and "low risk" groups to compare the differences in survival. The model was re-evaluated with the clinical data of our center. Conclusion The 3-lncRNA combination model is an independent prognostic factor for GC.

Clinically, hypoxia is associated with increased distant metastasis and poor survival in gastric cancer (GC). In this study, we set out from the cellular interaction to further explain the molecular mechanism of invasion in GC cells under hypoxic conditions. Gastric cancer cells were cultured under 1% O2 (hypoxia-cultured gastric cancer cells, HGC) and 20% O2 condition (normoxic-cultured gastric cancer cells, NGC). NGC was co-cultured with HGC-medium. Scrape and Transwell were used to evaluate invasion and migration. Exosomes from GC were extracted by ultracentrifugation. Electron microscopy images, western-blot used to analyze the size distributions and the number of exosomes. HGC-medium induced NGC dissociated. Long non-coding RNA (lncRNA) prostate cancer gene expression marker 1 (PCGEM1) was specifically expressed in HGC exosomes. HGC-derived PCGEM1-riched exosomes could promote the invasion and migration of NGC. On the mechanism, PCGEM1 maintained stability and reduced the degradation of SNAI1, which could induce the epithelial–mesenchymal transition of GC. LncRNA PCGEM1 was overexpressed in GC cells. And part of the PCGEM1 can be encapsulated into exosomes. These exosomes promoted invasion and migration of other GC cells. We considered PCGEM1 might act as a "scaffold" combined with SNAI1 and prompt the invasion and migration of GC.

The fibrinogen-to-albumin ratio (FAR), reflecting the systemic coagulation, nutritional and inflammation status of patients, has matured into a prognostic marker for several tumor types. However, only a few studies have assessed the utility of the FAR as a prognostic indicator in patients with advanced gastric cancer (GC) receiving first-line chemotherapy. In the present study, 273 patients with advanced GC who received first-line chemotherapy between January 2014 and January 2019 at the Cancer Hospital of China Medical University (Shenyang, China) were retrospectively analyzed. Using the cut-off values determined by receiver operating characteristic (ROC) analysis, the patients were divided into low-FAR (≤10.03) and high-FAR (>10.03), low-fibrinogen (

Gastric cancer (GC) is the fifth most common cancer and the third leading cause of cancer-related mortality worldwide. Inflammation and the nutritional status of patients with GC are important factors affecting the therapeutic effect and prognosis. Inflammatory and nutrition-related markers have been shown to be prognostic factors for patients with GC. However, few studies have investigated the relationship of the prealbumin-to-globulin ratio (PGR) with the prognosis of GC patients. The objective of the present study was to examine whether pretreatment PGR is related to the prognosis and chemotherapy outcomes of in-patients with advanced GC undergoing first-line chemotherapy. We retrospectively reviewed the data of 281 patients with unresectable GC from January 2013 to January 2018. The receiver operating characteristic curve analysis determined the cut-off values for the PGR. The relationship between the PGR and chemotherapy effectiveness was evaluated using the chi-square test. Kaplan-Meier’s method was used to plot progression-free survival (PFS) and overall survival (OS) curves, using multivariable Cox regression analysis to identify promising predictors of mortality. The cut-off value for the PGR was 7.21. The high-PGR (≥7.21) group had a higher disease control rate than that of the low-PGR group (93.66% vs. 78.42%, p<0.001). Kaplan-Meier’s analysis showed significantly higher median PFS (189 vs. 125 days, p<0.001) and OS (350 vs. 288 days, p<0.001) in the high-PGR group. The multivariate analyses revealed that a high PGR is an independent protective factor in patients with advanced GC, both in terms of PFS (hazard ratio [HR]: 0.672; 95% confidence interval [CI]: 0.527–0.857; p<0.001) and OS (HR: 0.675; 95% CI: 0.530–0.861; p=0.002). In conclusion, the prechemotherapy PGR can accurately predict the chemotherapy outcome, PFS, and OS of patients with advanced GC. Therefore, medical practitioners can utilize the PGR as a novel dependable prognostic tool to weigh the prognosis of patients with GC.

Additional file 2. Supplementary materials and methods.

Additional file 3 Figure S1. The expression and correlation analysis between ZFAS1 and snoRNP complex based on the TCGA database. Figure S2. The (m) RNA expression of ZFAS1, NOP58, SNORD12C, and SNORD78 in CRC tissues and matched tumor-adjacent controls (n = 30). Figure S3. The correlation analysis of ZFAS1, NOP58, SNORD12C/78 expression in 30 paired CRC and control tissues. Figure S4. The effect of ZFAS1 on cell proliferation and apoptosis in CRC cells. Figure S5. The correlation of ZFAS1 and NOP58 expression and prognosis evaluation in CRC patient tissues. Figure S6. The 2′-O-Me activity levels after interfering ZFAS1 and/or NOP58 expression. Figure S7. The 2′-O-Me activities mediated by SNORD12C and SNORD78 after silencing SNORD12C and SNORD78.

Additional file 1: Table S1.Short hairpin RNAs (shRNAs) sequence against ZFAS1. Table S2.Short hairpin RNAs (shRNAs) sequence against NOP58. Table S3. The reaction assays of qRT-PCR method. Table S4. Primers used in qRT-PCR assays. Table S5. Probes used in situ hybridization (ISH) assay. Table S6. RNA probes used for RNA pull-down assays. Table S7. Primers used in site-specific 2′-O-methylation for RTL-P assay. Table S8. RTL-P assays for rRNA 2′-O-methylation. Table S9. Probes used in site-specific 2′-O-methylation for double-stranded primer based on single-stranded toehold (DPBST) assays. Table S10. Double-stranded primer based on single-stranded toehold (DPBST) assays. Table S11. Data of LncRNAs cluster in Heat map analysis. Table S12. Data of snoRNAs cluster in Heat map analysis. Table S13. Data of mRNAs cluster in Heat map analysis. Table S14. The enriched target genes intersected by ZFAS1, SNORD12C/78 in GO analysis. Table S15. Prognostic information of included colorectal cancer patients (n = 157). Table S16. Multivariate COX regression analysis of the association of ZFAS1 and NOP58 expression with DFS and OS in CRC patients.

In this paper, an asymmetric compact multiband slot antenna is proposed for global positioning system (GPS), worldwide interoperability for microwave access (WiMAX), and wireless area network (WLAN) applications. The top plane, a ground is composed of a rectangular slot with a trapezoidal-like stub, an inverted U-shaped slot at the right side of the rectangular slot, an inverted L-shaped slot at the left side of the rectangular slot, and three stubs. The proposed antenna is fed by an asymmetric cross-parasitic strip on the bottom plane. By properly designing the slots and stubs, four resonant frequency bands are achieved with -10 dB reflection coefficient bandwidths of 50 MHz, 400 MHz, 390 MHz, and 830 MHz in the 1.57 GHz GPS band, 2.4 GHz WLAN band, 3.5 GHz WiMAX band, and 5.5 GHz WLAN bands, respectively. The antenna has a total compact size of 13 mm × 32 mm × 0.8 mm. Simulated and measured results indicate that the proposed antenna has sufficient bandwidth and good radiation performance in each band.

A wideband module antenna comprised of a small ground radiation antenna in the module and a parasitic radiation loop in the evaluation board is proposed. Unlike conventional ground radiation antennas, the ground radiation antenna in the module works as an exciter to the parasitic radiation loop, which further couples with the evaluation board as a radiator. Thus, a space-saving antenna is obtained with wide bandwidth and easy tuning. Accordingly, dual resonance can be generated by tuning the resonant frequencies of the ground radiation antenna and the parasitic radiation loop equally. When measured, the antennas have wide bandwidths (2:1 voltage standing wave ratio bandwidth of 270 MHz) and high efficiency (ranging from 44 to 74%).

Background Increasing evidence supports the role of small nucleolar RNAs (snoRNAs) and long non-coding RNAs (lncRNAs) as master gene regulators at the epigenetic modification level. However, the underlying mechanism of these functional ncRNAs in colorectal cancer (CRC) has not been well investigated. Methods The dysregulated expression profiling of lncRNAs-snoRNAs-mRNAs and their correlations and co-expression enrichment were assessed by GeneChip microarray analysis. The candidate lncRNAs, snoRNAs, and target genes were detected by in situ hybridization (ISH), RT-PCR, qPCR and immunofluorescence (IF) assays. The biological functions of these factors were investigated using in vitro and in vivo studies that included CCK8, trans-well, cell apoptosis, IF assay, western blot method, and the xenograft mice models. rRNA 2′-O-methylation (Me) activities were determined by the RTL-P assay and a novel double-stranded primer based on the single-stranded toehold (DPBST) assay. The underlying molecular mechanisms were explored by bioinformatics and RNA stability, RNA fluorescence ISH, RNA pull-down and translation inhibition assays. Results To demonstrate the involvement of lncRNA and snoRNAs in 2′-O-Me modification during tumorigenesis, we uncovered a previously unreported mechanism linking the snoRNPs NOP58 regulated by ZFAS1 in control of SNORD12C, SNORD78 mediated rRNA 2′-O-Me activities in CRC initiation and development. Specifically, ZFAS1 exerts its oncogenic functions and significantly up-regulated accompanied by elevated NOP58, SNORD12C/78 expression in CRC cells and tissues. ZFAS1 knockdown suppressed CRC cell proliferation, migration, and increased cell apoptosis, and this inhibitory effect could be reversed by NOP58 overexpression in vitro and in vivo. Mechanistically, the NOP58 protein could be recognized by the specific motif (AAGA or CAGA) of ZFAS1. This event accelerates the assembly of SNORD12C/78 to allow for further guiding of 2′-O-Me at the corresponding Gm3878 and Gm4593 sites. Importantly, silencing SNORD12C or 78 reduced the rRNAs 2′-O-Me activities, which could be rescued by overexpression ZFAS1, and this subsequently inhibits the RNA stability and translation activity of their downstream targets (e.g., EIF4A3 and LAMC2). Conclusion The novel ZFAS1-NOP58-SNORD12C/78-EIF4A3/LAMC2 signaling axis that functions in CRC tumorigenesis provides a better understanding regarding the role of lncRNA-snoRNP-mediated rRNAs 2′-O-Me activities for the prevention and treatment of CRC.

Gastric cancer (GC) is the most common and aggressive cancer of the digestive system and poses a serious threat to human health. Since genes do not work alone, our aim was to elucidate the potential network of mRNAs and noncoding RNAs (ncRNAs) in this study. Transcriptome data of GC were obtained from TCGA. R and Perl were used to obtain the differentially expressed RNAs and construct a competing endogenous RNA (ceRNA) regulatory network. To investigate the biological functions of differentially expressed RNAs, loss-of-function and gain-of-function experiments were performed. Real-time PCR (RT-qPCR), western blot analysis, dual-luciferase reporter assays and fluorescence in situ hybridization were conducted to explore the underlying mechanisms of competitive endogenous RNAs (ceRNAs). Based on TCGA data and bioinformatics analysis, we identified the LINC00163/miR-183/A-Kinase Anchoring Protein 12 (AKAP12) axis. We observed that AKAP12 was weakly expressed in GC and suppressed invasion and metastasis in GC cells, which could be abolished by miR-183. In addition, LINC00163 can be used as a ceRNA to inhibit the expression of miR-183, thus enhancing the anticancer effect of AKAP12. Our results demonstrated that weak LINC00163 expression in GC can sponge miR-183 to promote AKAP12. We established that the LINC00163/miR-183/AKAP12 axis plays an important role in GC invasion and metastasis and may be a potential biomarker and target for GC treatment.

Objectives The purpose of this study was to explore whether pretreatment potential prognostic factors are related to chemotherapeutic outcomes and the prognosis of inpatients with metastatic colorectal cancer (mCRC) undergoing chemotherapy. Materials and methods Data from 71 patients with mCRC were analyzed retrospectively. The relationship between the potential prognostic factors before first‐line chemotherapy and the clinicopathological characteristics and chemotherapy response of the patients was calculated using Fisher's exact test and the chi‐square test. The prognostic factors were analyzed using univariate and multivariate analyses. We analyzed the subgroups using the Mann‐Whitney U test. Results Four factors were eventually used as prognostic factors, namely the albumin‐to‐globulin ratio (AGR), the fibrinogen‐to‐albumin ratio (FAR), the prealbumin‐to‐globulin ratio (PGR), and the fibrinogen‐to‐prealbumin ratio (FPR); the cutoff values of the four potential prognostic factors were 1.40, 10.63, 5.44, and 18.49, respectively. The high AGR and PGR groups had a higher response rate than that of the low groups. Patients in the low FAR and FPR groups showed a higher objective response rate than the high FAR and FPR groups. Patients with low FPR were associated with a higher disease control rate than patients with high FPR. Higher progression‐free survival (PFS) was observed in the high AGR and PGR and low FAR and FPR groups. The AGR, FAR, PGR, and FPR were considered reliable prognostic factors for PFS in a univariate analysis. Conclusions The prechemotherapy AGR, FAR, PGR, and FPR were good prognostic factors to predict the chemotherapy response and PFS in patients with mCRC.

Aim Previous studies have confirmed that overexpression of the long non-coding RNA prostate cancer gene expression marker 1 (PCGEM1) contributes to the invasion and metastasis of gastric cancer (GC) cells. However, the expression of circulating PCGEM1 in the plasma of GC patients and its clinical value remain unclear. Methods A total of 317 patients with GC and 100 healthy subjects were enrolled in this study. Circulating PCGEM1 was detected by reverse transcription-polymerase chain reaction. The diagnostic value of plasma PCGEM1 was evaluated by receiver operating characteristic curves and the area under the curve (AUC) value. Results The expression level of PCGEM1 in the GC group was significantly higher than that in the healthy control subjects. In addition, the PCGEM1 expression level was associated with tumor differentiation and TNM stage. The AUC value of PCGEM1 was higher than that of other conventional tumor markers (CEA, CA12-5, CA72-4, AFP, and CA19-9), although the combination of all markers showed the highest predictive value. Conclusion Plasma PCGEM1 may be a potential novel circulating biomarker for GC diagnosis and prognosis.

Ministry of Science, ICT and Future Planning, Grant/Award Number: This work was supported by a grant from the Nation; National Research Foundation of Korea, Grant/Award Number: 2015R1A2A1A15055109

e15022 Background: In the past decade, cell-based immunotherapy has been reported to improve the clinical outcomes by altering tumor immune responses, improving prognosis and overall survival rates in cancer patients.This retrospective study aimed to evaluate the efficacy of cytokine-induced killer (CIK) cell infusion as an adjuvant therapy in patients with colorectal cancer. Methods: A total of 370 patients with colorectal cancer admitted to Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Insititute from March 2013 to April 2015 were retrospectively analyzed.All patients were treated with surgery for primary lesions, and then adjuvant chemotherapy was determined according to the guidelines. Among these patients, 201 patients received CIK therapy (CIK group),while the other 169 patients who had similar demographic and clinical characteristics did not receive a CIK cell infusion therapy (non-CIK group). Then we followed up these patients. Data were analyzed by Kaplan-Meier. Results: Our results showed that the 1,3,5-year overall survival (OS) rate for the CIK group versus the non-CIK group was 98.46 versus 93.61%, 85.4 versus 71.61%, 79.39 versus 67.9%, respectively. The OS was significantly longer in CIK group than in non-CIK group (P = 0.009). Meanwell, the OS of stage II and III colorectal cancer was significant in CIK group than in non-CIK group (P = 0.02 and 0.02). But the OS was not significant in Stage I and IV colorectal cancer (P = 0.347 and 0.285). We analyzed the patients between chemotherapy plus CIK therapy group and chemotherapy only group. We find that the OS has significant difference in two groups (P < 0.001). Conclusions: CIK therapy can improve the efficacy of adjuvant therapy in patients with colorectal cancer. But multicenter, large-sample randomized controlled trials are still needed to confirm it.

An integrated GPS antenna with circular polarization (CP)is proposed for smartwatches with an unbroken metal rim. By utilizing a small feeding structure in the ground plane, two dominant characteristic modes of the metal rim along the x-axis and y-axis are simultaneously excited for radiation. For CP operation, the time-phase difference between the two modes can be provided by adjusting their resonant frequencies to be inductive and capacitive, which can be further tuned by changing the values of loaded capacitors between the metal rim and ground plane. The proposed technique can generate a 3-dB axial ratio bandwidth of 10 MHz with left-hand circular polarization (RHCP)and right-hand circular polarization (LHCP)at the front side and back side, respectively.

Two ground radiation antennas with polarisation diversity performance were proposed for MIMO WLAN applications in wearable devices. The antennas can simultaneously excite the vertical mode and horizontal mode of the ground plane and the phase difference between the two modes can be controlled by utilising an inductor-loaded metal strip in the ground plane, generating circular polarisation. A 3:1 VSWR bandwidth of 140 MHz with high isolation (above 17 dB) and a 3 dB axial ratio bandwidth of 100 MHz was obtained. The opposite rotations generated by the two antennas resulted in good diversity performance, which was verified by the measured envelope correlation coefficient.

17 Background: Abnormal gene expression is closely related to the development and poor prognosis of gastric cancer (GC). Since gene does not work alone, we are aimed to elucidate the potential networks between mRNA and non-coding RNAs (ncRNAs) in this study. Methods: Based on the TCGA database, we obtained the differentially expressed RNAs and constructed the competing endogenous RNA (ceRNA) regulatory network. Results: We found a regulatory network based on ANGPT2. We observed ANGPT2 is overexpressed in GC cells and tissues and associated with poor prognosis. ANGPT2 promotes proliferation, invasion, and EMT in GC cells, which could be abolished by miR-145. In addition, LINC00184 can be used as a ceRNA to inhibit the expression of miR-145, thus enhancing the carcinogenic effect of ANGPT2. Conclusions: Our results suggested that LINC00184/miR-145/ANGPT2 axis plays an important role in the occurrence and development of GC and may be potential biomarkers and targets for the treatment of GC.

Over the past years applications of fusion technique have been growing rapidly. However, very few applications of the technique to microarray data have been reported. In this paper, we propose a new fusion method based on pseudo standard deviation minimization (PSDM) for the feature selection of microarray. This new method provides a more accurate set of features. Therefore the classification can be performed and functional meaning from the features can also be revealed. The new method is actually obtained through a combination of two different feature selection methods (FSMs). It is shown that it can explore nonperfect correlation between gene expression profile and cancer classes or feature detection algorithms. To evaluate its effectiveness, it is tested on lymphoma and leukemia microarray expression datasets and then compared with the existing methods. Self-organizing map (SOM) is used for feature classification. It can be seen through the comparison that the classification accuracy of the new fusion method is at least 2% ~ 3% higher than others.