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We aimed to investigate the efficacy and safety of enhanced recovery after surgery (ERAS) for patients with gastric cancer undergoing minimally invasive surgery (MIS).We searched the PubMed, Cochrane Library, Web of Science, Embase, CNKI, VIP, WanFang, and CBM for relevant RCTs from the database inception until December 2021, for studies that compared the ERAS and traditional care (TC) in MIS for gastric cancer.A total of 25 RCTs comprising 2809 patients were included in this study. When compared with the traditional care TC group, the ERAS group had a shorter postoperative hospital stay [MD = -1.88,95%CI (-2.22, -1.55),ERAS can shorten the postoperative hospital stay, hasten the first postoperative flatus and reduce medical costs and overall postoperative complication rate without increasing readmission rates. Therefore, the ERAS protocol is preferable for gastric cancer patients undergoing MIS.

Background. Although combination therapies have substantially improved the clinical outcomes of cancer patients, the prognosis and early diagnosis remain unsatisfactory. As a result, it is critical to look for novel indicators linked to cancer. Despite a number of recent studies indicating that the lncRNA brain cytoplasmic RNA1(BCYRN1) may be a potential predictive biomarker in cancer patients, BCYRN1’s prognostic value is still being debated. Methods. We utilized PubMed, Embase, Web of Science, and the Cochrane Library to search for studies related to BCYRN1 until October 2021. Valid data were extracted after determining the articles according to the inclusion and exclusion criteria, and forest plots were made using Stata software. We used hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals to evaluate the relationship between abnormal BCYRN1 expression and patient prognosis and clinicopathological characteristics. Results. Meta-analysis revealed that increased BCYRN1 expression was associated with both overall tumor survival (OS; HR = 1.84, 95% CI 1.51–2.25, p < 0.0001 ) and disease-free survival (DFS; HR = 1.65, 95% CI 1.20–2.26, p = 0.002 ). Furthermore, a strong association was discovered between increased BCYRN1 expression and tumor invasion depth (OR = 2.11, 95% CI 1.49–2.99, p = 0.000 ), clinical stage (OR = 2.52, 95% CI 1.18–5.37, p = 0.017 ), and distant tumor metastasis (OR = 4.19, 95% CI 1.45–12.05, p = 0.008 ). Conclusions. We found that high BCYRN1 expression was associated with poor survival prognosis and aggressive clinicopathological characteristics in various cancers, indicating that it is a potential prognostic indicator as well as a therapeutic target. Further research is needed on pan-cancer cohorts to determine the clinical relevance of BCYRN1 in distinct cancer types.

Cell-free circulating tumor DNA (ctDNA) is synthesized by tumor cells, including metastatic tumors, and circulates in the bloodstream. Evidence suggests that ctDNA is a potential predictive and prognostic biomarker for colorectal cancer (CRC), but its predictive efficacy in detecting CRC liver metastasis (CLM) remains unclear. Additionally, its utility in the clinical setting needs further investigation. We conducted a meta-analysis to determine the utility of ctDNA as a biomarker for predicting the prognosis of CLM and investigate the relationship between CLM and ctDNA positivity. A literature search was performed in electronic databases to identify relevant studies published up to March 19, 2022. We retrieved data on overall survival (OS), disease-free survival (DFS), and recurrence-free survival (RFS) for both ctDNA-positive and ctDNA-negative colorectal liver metastasis (CLM) patients from the selected articles. Hazard ratios (HRs) were also calculated for these survival outcomes analysis was also performed. The stability of the combined meta-analysis was verified by sensitivity analysis and publication bias evaluation. Ten trials were included, and 615 patients were evaluated. In patients with CLM, pooled HRs revealed a substantial link between ctDNA positivity and RFS/DFS. Subgroup analysis revealed that ctDNA had a prospective detection value. Sensitivity analysis and publication bias evaluation indicated stable results. Although the results on pooled HR for OS suggested that ctDNA-positive patients had a shorter survival time, their pooled HRs had a relatively evident heterogeneity, and sensitivity analysis and publication bias evaluation indicated that pooled HRs were extremely unstable. In conclusion, our results demonstrate that ctDNA appears to be a prognostic biomarker for resectable CLM patients.

In this work, we synthesized folate-conjugated dual-drug loaded double liposomes which are noted for their extremely high target specificity towards pituitary adenomas. It is known that while folate receptors are almost non-existent in normal tissues, they are overexpressed in non-functional pituitary adenomas. Synthesis, characterization and in vitro studies of folate-conjugated dual-drug loaded double liposomes for targeting non-functional pituitary adenomas is the highlight of this study. The size, zeta-potential, polydispersity index, in vitro release studies, stability of the nanoformulation, cytotoxicity and cellular uptake studies have been carried out. It was noted from the results that these are highly targeted liposomal formulation as expressed by the cellular uptake studies and are just sufficiently sized to escape the clearance mechanisms of body. They were also cytocompatible and were stable even after 60 days of shelf life with negligible changes in sizes, zeta potential as well as polydispersity index. The conjugation with folate particles resulted in the high specificity of the formulation to the specific targeted tissue as seen in cellular uptake by primary cell culture of non-functional pituitary adenomas. It may safely be concluded from the results that this approach may be a promising therapy for the future which has low cytotoxicity and high-specificity.

Background Autophagy, a process of self-digestion, is closely related to multiple biological processes of colon cancer. This study aimed to construct and evaluate prognostic signature of autophagy-related genes (ARGs) to predict overall survival (OS) in colon cancer patients. Materials and methods First, a total of 234 ARGs were downloaded via The Cancer Genome Atlas (TCGA) database. Based on the TCGA dataset, differentially expressed ARGs were identified in colon cancer. The univariate and multivariate Cox regression analysis was performed to screen prognostic ARGs to construct the prognostic model. The feasibility of the prognostic model was evaluated using receiver operating characteristic curves and Kaplan-Meier curves. A prognostic model integrating the gene signature with clinical parameters was established with a nomogram. Results We developed an autophagy risk signature based on the 6 ARGs (ULK3, ATG101, MAP1LC3C, TSC1, DAPK1, and SERPINA1). The risk score was positively correlated with poor outcome and could independently predict prognosis. Furthermore, the autophagy-related signature could effectively reflect the levels of immune cell type fractions and indicate an immunosuppressive microenvironment. Conclusion We innovatively identified and validated 6 autophagy-related gene signature that can independently predict prognosis and reflect overall immune response intensity in the colon cancer microenvironment.

Background. According to relevant clinical research, dietary and circulating antioxidants vitamin A are connected with the risk of breast, cervical, and ovarian cancer in women. However, there was inconsistency between the findings. We completed this meta-analysis at the right moment to address this contradiction of the problem. Methods. Web of Science, Embase, and PubMed databases were searched using the proposed search strategy and filtered using the inclusion and exclusion criteria as well as the NOS quality score. As of May 2022, low intake or low concentration was used as a control, and odds ratio (OR) or relative risk (RR) and ninety-five percent confidence intervals (95% CI) were extracted for high intake. Stata 12.0 was used to process the data. Results. Our meta-analysis included a total of 49 studies, 29 on breast cancer, 10 on ovarian cancer, and 10 on cervical cancer. There were 38 case-control studies included, with 25,363 cases and 42,281 controls; there were 11 cohort studies included, 1,334,176 individuals were followed up, and finally 9496 obtained cancer. The pooled OR value results were as follows: diet or supplements ( OR = 0.83 , 95% CI 0.76-0.90, I 2 = 56.1 % ) and serum or plasma ( OR = 0.96 , 95% CI 0.86-1.09, I 2 = 29.5 % ). Subgroup analyses were performed according to cancer type, diet or supplements, serum or plasma, study type, and geographic regions. Conclusions. In North American and Asian populations, high dietary consumption of vitamin A or supplements decreases the incidence of three cancers in women, with breast and ovarian cancers being more significant. However, high circulating vitamin A concentrations were not significantly connected with the risk of the three malignancies.

Introduction Glioblastoma multiforme (GBM) is a kind of malignant brain tumor prevalent in adults, with the characteristics well adapted to poorly immunogenic and hypoxic conditions. Effective treatment of GBM is impeded due to the high proliferation, migration and invasion of GBM cells. GBM cells migrate by degrading the extracellular matrix, so it is difficult to have GBM cells eradicated completely by surgery. This study aims to confirm that miR-431-5p could influence the proliferation, invasion and migration of human glioblastoma multiforme cells by targeting EPB41L1 (erythrocyte membrane protein band 4.1). Material and methods The expression levels of miR-431-5p and EPB41L1 were detected in GBM cells and tissues using qRT-PCR. Dual luciferase reporter gene assay and western blot were applied to confirm the targeting relationship between miR-431-5p and EPB41L1. GBM cell line U87 was used in MTT, flow cytometry, Transwell, and wound healing assays to determine cell proliferation, migration and invasion. Results MiR-431-5p was overexpressed in GBM tissues while EPB41L1 was under-expressed. The results of dual luciferase reporter gene assay and western blot demonstrated that miR-431-5p could target EPB41L1 and suppress its expression. Down-regulating the expression of miR-431-5p or up-regulating the expression of EPB41L1 could inhibit the proliferation, invasion and migration but promote the apoptosis of GBM cells. Conclusions MiR-431-5p facilitated the progression of GBM by inhibiting EPB41L1 expression.

The realisation of weld clearance detection algorithm is the key to vehicle weld detection based on image processing. In this paper, the weld detection area of the acquired image is set on the high resolution CCD image of vehicle weld gap, and then the weld line is detected by combining Hough transform and least squares method. Owing to abnormalities such as broken lines, overlapping lines, and slopes in the detected straight lines, all the checked straight lines are first optimised to extract valid weld straight lines. Finally, the distance of the weld gap is calculated using a formula. The method can be used to measure the weld gap of vehicles quickly and accurately.

Fire occurrence probability mapping provides a detailed understanding of the spatial distribution of the fire occurrence probability and it is useful in fire management. The binary logistic regression (BLR) can combine continuous and categorical variables together in the analysis. Here we use BLR analysis to map the fire occurrence probability of Northeast China which has the largest forest area in China. Ten predictor variables including altitude (Alt), slope (Sl), aspect (As), distance to the nearest village (Dv), distance to the nearest path (Dp), distance to the nearest water bodies (Dw), land cover (LC), Fuel Moisture Content (FMC), land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) are employed and multi-temporal random sampling methodology is used to create the training subset, and then the training subset is utilized to build the fire occurrence probability spatial model. Here, a backwards stepwise procedure based on the likelihood ratio estimation is used in the model development. Assessed by the area under a relative operating characteristic (ROC) curve (AUC-area under curve) procedure, the model's fitness accuracy is 84.2%. The interpretations of the estimated coefficients show that NDVI best explain fire occurrence in the region. Evaluated by the inner testing and independent validation, better reliability and discrimination capacity of the developed spatial model can be concluded from 17 fires among the total 18 fires. Good performance suggests that the developed model is valuable to fire managers or can be directly applied to fire management in Northeast China.

Some changes in color and morphology of Anoplophora glabripennis larvae were observed when infected with Metarhizium (Metsch.) Sorokin MS01. Paraffin sections show the spores of MS01 attached to the cuticle of A. glabripennis larvae at 24 h post inoculation (hpi). At 36 hpi, the conidium germinated and penetrated through the cuticle. After 48 h of inoculation, the endocuticle was disintegrated and the germ tubes passed through the epithelial layers into the hemocoel and multiplied, and then invaded the tissues near the penetration point, such as the fat body, muscle, tracheal tissue, malpighian tubule, alimentary canal, etc. The infected larvae were dead and most tissues and organs were infected and disintegrated with the multiplication of the mycelium for 3 days. The hyphae emerged through the cuticle and formed a hyphal layer on the surface of the dead insect and the conidium emerged five days after inoculation.

Oasis is an important component of desert ecosystem. This paper employs Landsat Thematic Mapper (TM) multi-spectral data to extract fractional vegetation cover of oasis in Tarim Basin with four methods. The mixture pixel decomposition model based on normalized difference vegetation index(NDVI) is firstly used to estimate fractional vegetation cover(FVC). The results indicated that the method is mainly underestimating the FVC at the low FVC area and overestimating the FVC at high FVC area. Thereafter, a stepwise regression model between 15 Vegetation Indices (VIs) and measured FVC data and a log-linear model have been established through the relation analysis of FVC and NDVI. Trials of these two models showed that they are mainly overestimating the FVC. Finally, a dimidiate fractional cover model was proposed, which is composed of two linear functions. When the NDVI is less than 0.3, the linear function is formed by stress related vegetation index (STVI1) and normal differential water index (NDWI) (R 2 , 0.764) while the NDVI is greater than 0.3, the linear function is composed of NDVI and perpendicular vegetation index (PVI) (R 2 , 0.801). The validation of the dimidiate fractional cover model has been tested with the measured data. In the optimal case, the mean error is 0.002 and the RMSE is 0.051, demonstrating that the model can be used in estimating fractional vegetation cover of oasis in Tarim Basin.

The tasseled cap transformation of remote sensing data has been widely used in environment, agriculture, forest and ecology. Tasseled cap transformation coefficients matrix of HJ multi-spectrum data has been established through Givens rotation matrix to rotate principal component transform vector to whiteness, greenness and blueness direction of ground object basing on 24 scenes year-round HJ multispectral remote sensing data. The whiteness component enhances the brightness difference of ground object, and the greenness component preserves more detailed information of vegetation change while enhances the vegetation characteristic, and the blueness component significantly enhances factory with blue plastic house roof around the town and also can enhance brightness of water. Tasseled cap transformation coefficients matrix of HJ will enhance the application effect of HJ multispectral remote sensing data in their application fields.

Members of the Aux/IAA gene family encode proteins that mediate the responses of auxin-regulated gene expression and regulate various aspects of plant morphological development. Here, we provide the first identification and characterization of nine cDNAs encoding the complete open reading frame (ORF) of the Aux/IAA family in cotton. These were designated GhAux1 to GhAux9 ( G ossypium h irsutum Aux/IAA ). The proteins encoded by these nine genes had either whole or partially conserved domains of the Aux/IAA superfamily, with sequence identity ranging from 14% to 69%. A pair of homeologs exists for each Aux/IAA in G. hirsutum acc. TM-1 with high identity both in ORF sequences and amino acid level. Tissue- and organ-specific analysis showed that transcripts of GhAux1 , GhAux2 , and GhAux3 were abundant in vegetative organs, whereas GhAux4 , GhAux5 , GhAux6 , and GhAux7 were preferentially expressed in ovules on the day of anthesis. GhAux8 and GhIAA16 (previously reported) were also preferentially expressed during fiber developmental stages, especially GhAux8 in fiber early elongation stages, and GhIAA16 in fiber initiation and secondary cell wall thickening stage. GhAux9 was specifically expressed in developing fibers. During the fiber initiation stage, except for GhAux 3 and GhAux 6, the expression of the other eight GhAux s in various lintless–fuzzless and linted–fuzzless mutants demonstrated that they were significantly up-regulated compared with linted–fuzzy TM-1.

Background Both Gossypium hirsutum and G. barbadense probably originated from a common ancestor, but they have very different agronomic and fiber quality characters. Here we selected 17 fiber development-related genes to study their structures, tree topologies, chromosomal location and expression patterns to better understand the interspecific divergence of fiber development genes in the two cultivated tetraploid species. Results The sequence and structure of 70.59% genes were conserved with the same exon length and numbers in different species, while 29.41% genes showed diversity. There were 15 genes showing independent evolution between the A- and D-subgenomes after polyploid formation, while two evolved via different degrees of colonization. Chromosomal location showed that 22 duplicate genes were located in which at least one fiber quality QTL was detected. The molecular evolutionary rates suggested that the D-subgenome of the allotetraploid underwent rapid evolutionary differentiation, and selection had acted at the tetraploid level. Expression profiles at fiber initiation and early elongation showed that the transcripts levels of most genes were higher in Hai7124 than in TM-1. During the primary-secondary transition period, expression of most genes peaked earlier in TM-1 than in Hai7124. Homeolog expression profile showed that A-subgenome, or the combination of A- and D-subgenomes, played critical roles in fiber quality divergence of G. hirsutum and G. barbadense. However, the expression of D-subgenome alone also played an important role. Conclusion Integrating analysis of the structure and expression to fiber development genes, suggests selective breeding for certain desirable fiber qualities played an important role in divergence of G. hirsutum and G. barbadense.

P2P Streaming has a Real-time requirement. In the Mesh-based network, the bandwidth of fresh peers who join the network is insufficient because of lacking of data copy, and the Real-time requirement couldn’t be satisfied. Therefore, the peers have to request media data from media server to satisfy the Real-time requirement which will consume a large amount of media server’s bandwidth. In this paper, we firstly model the network scale of P2P streaming both in live and VoD scenarios, based on which we propose the factors that affect the network scale and analyze the different effects of these factors in live and VoD scenarios.