Antibiotic Exposure and Risk of New-Onset Ulcerative Colitis: a Systematic Review and Meta-Analysis.

BACKGROUND: Antibiotic exposure has been reported as a risk factor for the development of ulcerative colitis; however, the clinical results were controversial. Therefore, we performed a meta-analysis to evaluate the association of antibiotic exposure with the new onset of UC. METHODS: A comprehensive literature search for relevant studies published up to February 2024, exploring the association between antibiotic exposure and new-onset UC, was performed by using Medline and Embase, and the statistical analysis was conducted by using the Stata software. RESULTS: A total of 16 articles were included in the study, including 12 case-control studies and 4 cohort studies. The pooled analysis revealed that antibiotic exposure was associated with an increased risk of new-onset UC (summary OR = 1.28, 95% CI = 1.26 - 1.31). Subgroup analyses showed that both case-control studies and cohort studies have yielded consistent conclusions. CONCLUSIONS: This meta-analysis suggests that antibiotic exposure is a risk factor for the development of UC. It is, therefore, necessary to avoid unnecessary and excessive use of antibiotics.

Lost genome segments associate with trait diversity during rice domestication.

BACKGROUND: DNA mutations of diverse types provide the raw material required for phenotypic variation and evolution. In the case of crop species, previous research aimed to elucidate the changing patterns of repetitive sequences, single-nucleotide polymorphisms (SNPs), and small InDels during domestication to explain morphological evolution and adaptation to different environments. Additionally, structural variations (SVs) encompassing larger stretches of DNA are more likely to alter gene expression levels leading to phenotypic variation affecting plant phenotypes and stress resistance. Previous studies on SVs in rice were hampered by reliance on short-read sequencing limiting the quantity and quality of SV identification, while SV data are currently only available for cultivated rice, with wild rice largely uncharacterized. Here, we generated two genome assemblies for O. rufipogon using long-read sequencing and provide insights on the evolutionary pattern and effect of SVs on morphological traits during rice domestication. RESULTS: In this study, we identified 318,589 SVs in cultivated and wild rice populations through a comprehensive analysis of 13 high-quality rice genomes and found that wild rice genomes contain 49% of unique SVs and an average of 1.76% of genes were lost during rice domestication. These SVs were further genotyped for 649 rice accessions, their evolutionary pattern during rice domestication and potential association with the diversity of important agronomic traits were examined. Genome-wide association studies between these SVs and nine agronomic traits identified 413 candidate causal variants, which together affect 361 genes. An 824-bp deletion in japonica rice, which encodes a serine carboxypeptidase family protein, is shown to be associated with grain length. CONCLUSIONS: We provide relatively accurate and complete SV datasets for cultivated and wild rice accessions, especially in TE-rich regions, by comparing long-read sequencing data for 13 representative varieties. The integrated rice SV map and the identified candidate genes and variants represent valuable resources for future genomic research and breeding in rice.

Optimized Design of EdgeBoard Intelligent Vehicle Based on PP-YOLOE.

Advances in deep learning and computer vision have overcome many challenges inherent in the field of autonomous intelligent vehicles. To improve the detection accuracy and efficiency of EdgeBoard intelligent vehicles, we proposed an optimized design of EdgeBoard based on our PP-YOLOE+ model. This model innovatively introduces a composite backbone network, incorporating deep residual networks, feature pyramid networks, and RepResBlock structures to enrich environmental perception capabilities through the advanced analysis of sensor data. The incorporation of an efficient task-aligned head (ET-head) in the PP-YOLOE+ framework marks a pivotal innovation for precise interpretation of sensor information, addressing the interplay between classification and localization tasks with high effectiveness. Subsequent refinement of target regions by detection head units significantly sharpens the system's ability to navigate and adapt to diverse driving scenarios. Our innovative hardware design, featuring a custom-designed mainboard and drive board, is specifically tailored to enhance the computational speed and data processing capabilities of intelligent vehicles. Furthermore, the optimization of our Pos-PID control algorithm allows the system to dynamically adjust to complex driving scenarios, significantly enhancing vehicle safety and reliability. Besides, our methodology leverages the latest technologies in edge computing and dynamic label assignment, enhancing intelligent vehicles' operations through seamless sensor integration. Our custom dataset, specifically designed for this study, includes 4777 images captured by intelligent vehicles under a variety of environmental and lighting conditions. The dataset features diverse scenarios and objects pertinent to autonomous driving, such as pedestrian crossings and traffic signs, ensuring a comprehensive evaluation of the model's performance. We conducted extensive testing of our model on this dataset to thoroughly assess sensor performance. Evaluated against metrics including accuracy, error rate, precision, recall, mean average precision (mAP), and F1-score, our findings reveal that the model achieves a remarkable accuracy rate of 99.113%, an mAP of 54.9%, and a real-time detection frame rate of 192 FPS, all within a compact parameter footprint of just 81 MB. These results demonstrate the superior capability of our PP-YOLOE+ model to integrate sensor data, achieving an optimal balance between detection accuracy and computational speed compared with existing algorithms.

Metformin abrogates Fusobacterium nucleatum-induced chemoresistance in colorectal cancer by inhibiting miR-361-5p/sonic hedgehog signaling-regulated stemness.

BACKGROUND: Chemotherapy resistance is the major cause of recurrence in patients with colorectal cancer (CRC). A previous study found that Fusobacterium (F.) nucleatum promoted CRC chemoresistance. Additionally, metformin rescued F. nucleatum-induced tumorigenicity of CRC. Here, we aimed to investigate whether metformin could revert F. nucleatum-induced chemoresistance and explore the mechanism. METHODS: The role of metformin in F. nucleatum-infected CRC cells was confirmed using cell counting kit 8 assays and CRC xenograft mice. Stemness was identified by tumorsphere formation. Bioinformatic analyses were used to explore the regulatory molecules involved in metformin and F. nucleatum-mediated regulation of the sonic hedgehog pathway. RESULTS: We found that metformin abrogated F. nucleatum-promoted CRC resistance to chemotherapy. Furthermore, metformin attenuated F. nucleatum-stimulated stemness by inhibiting sonic hedgehog signaling. Mechanistically, metformin diminished sonic hedgehog signaling proteins by targeting the MYC/miR-361-5p cascade to reverse F. nucleatum-induced stemness, thereby rescuing F. nucleatum-triggered chemoresistance in CRC. CONCLUSIONS: Metformin acts on F. nucleatum-infected CRC via the MYC/miR-361-5p/sonic hedgehog pathway cascade, subsequently reversing stemness and abolishing F. nucleatum-triggered chemoresistance. Our results identified metformin intervention as a potential clinical treatment for patients with chemoresistant CRC with high amounts of F. nucleatum.

Noninvasive predictive models based on lifestyle analysis and risk factors for early-onset colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) incidence has increased among patients aged <50 years. Exploring high-risk factors and screening high-risk populations may help lower early-onset CRC (EO-CRC) incidence. We developed noninvasive predictive models for EO-CRC and investigated its risk factors. METHODS: This retrospective multicenter study collected information on 1756 patients (811 patients with EO-CRC and 945 healthy controls) from two medical centers in China. Sociodemographic features, clinical symptoms, medical and family history, lifestyle, and dietary factors were measured. Patients from one cohort were randomly assigned (8:2) to two groups for model establishment and internal validation, and another independent cohort was used for external validation. Multivariable logistic regression, random forest, and eXtreme Gradient Boosting (XGBoost) were performed to establish noninvasive predictive models for EO-CRC. Some variables in the model influenced EO-CRC occurrence and were further analyzed. Multivariable logistic regression analysis yielded adjusted odd ratios (ORs) and 95% confidence intervals (CIs). RESULTS: All three models showed good performance, with areas under the receiver operator characteristic curves (AUCs) of 0.82, 0.84, and 0.82 in the internal and 0.78, 0.79, and 0.78 in the external validation cohorts, respectively. Consumption of sweet (OR 2.70, 95% CI 1.89-3.86, P < 0.001) and fried (OR 2.16, 95% CI 1.29-3.62, P < 0.001) foods ≥3 times per week was significantly associated with EO-CRC occurrence. CONCLUSION: We established noninvasive predictive models for EO-CRC and identified multiple nongenetic risk factors, especially sweet and fried foods. The model has good performance and can help predict the occurrence of EO-CRC in the Chinese population.

Genome-Wide Identification and Analysis of OsSPXs Revealed Its Genetic Influence on Cold Tolerance of Dongxiang Wild Rice (DXWR).

SPX-domain proteins (small proteins with only the SPX domain) have been proven to be involved in phosphate-related signal transduction and regulation pathways. Except for OsSPX1 research showing that it plays a role in the process of rice adaptation to cold stress, the potential functions of other SPX genes in cold stress are unknown. Therefore, in this study, we identified six OsSPXs from the whole genome of DXWR. The phylogeny of OsSPXs has a strong correlation with its motif. Transcriptome data analysis showed that OsSPXs were highly sensitive to cold stress, and real-time PCR verified that the levels of OsSPX1, OsSPX2, OsSPX4, and OsSPX6 in cold-tolerant materials (DXWR) during cold treatment were higher than that of cold-sensitive rice (GZX49). The promoter region of DXWR OsSPXs contains a large number of cis-acting elements related to abiotic stress tolerance and plant hormone response. At the same time, these genes have expression patterns that are highly similar to cold-tolerance genes. This study provides useful information about OsSPXs, which is helpful for the gene-function research of DXWR and genetic improvements during breeding.

Genome-Wide Identification of DUF26 Domain-Containing Genes in Dongxiang Wild Rice and Analysis of Their Expression Responses under Submergence.

The DUF26 domain-containing protein is an extracellular structural protein, which plays an important role in signal transduction. Dongxiang wild rice (Oryza rufipogon Griff.) is the northern-most common wild rice in China. Using domain analysis, 85 DUF26 domain-containing genes were identified in Dongxiang wild rice (DXWR) and further divided into four categories. The DUF26 domain-containing genes were unevenly distributed on chromosomes, and there were 18 pairs of tandem repeats. Gene sequence analysis showed that there were significant differences in the gene structure and motif distribution of the DUF26 domain in different categories. Motifs 3, 8, 9, 13, 14, 16, and 18 were highly conserved in all categories. It was also found that there were eight plasmodesmata localization proteins (PDLPs) with a unique motif 19. Collinearity analysis showed that DXWR had a large number of orthologous genes with wheat, maize, sorghum and zizania, of which 17 DUF26 domain-containing genes were conserved in five gramineous crops. Under the stress of anaerobic germination and seedling submergence treatment, 33 DUF26 domain-containing genes were differentially expressed in varying degrees. Further correlation analysis with the expression of known submergence tolerance genes showed that these DUF26 domain-containing genes may jointly regulate the submergence tolerance process with these known submergence tolerance genes in DXWR.

Wild rice harbors more root endophytic fungi than cultivated rice in the F1 offspring after crossbreeding.

BACKGROUND: Rice, which serves as a staple food for more than half of the world's population, is grown worldwide. The hybridization of wild and cultivated rice has enabled the incorporation of resistance to varying environmental conditions. Endophytic microbiota are known to be transferred with their host plants. Although some studies have reported on the endophytic microbiota of wild and cultivated rice, the inheritance from wild and cultivated rice accessions in next generations, in terms of endophytic microbiota, has not been examined. RESULTS: In the present study, the endophytic microbial community structures of Asian and African wild and cultivated rice species were compared with those of their F1 offspring. High-throughput sequencing data of bacterial 16S rDNA and fungal internal transcribed spacer regions were used to classify the endophytic microbiota of collected samples of rice. Results indicated that when either African or Asian wild rice species were crossed with cultivated rice accessions, the first generation harbored a greater number of root endophytic fungi than the cultivated parent used to make the crosses. Network analysis of the bacterial and fungal operational taxonomic units revealed that Asian and African wild rice species clustered together and exhibited a greater number of significant correlations between fungal taxa than cultivated rice. The core bacterial genus Acidovorax and the core fungal order Pleosporales, and genera Myrothecium and Bullera connected African and Asian wild rice accessions together, and both the wild rice accessions with their F1 offspring. On the other hand, the core bacterial genus Bradyrhizobium and the core fungal genera Dendroclathra linked the African and Asian cultivated rice accessions together. CONCLUSIONS: This study has theoretical significance for understanding the effect of breeding on the inheritance of endophytic microbiota of rice and identifying beneficial endophytic bacteria and fungi among wild and cultivated rice species, and their F1 offspring.

Quasi-Isotropically Thermal Conductive, Highly Transparent, Insulating and Super-Flexible Polymer Films Achieved by Cross Linked 2D Hexagonal Boron Nitride Nanosheets.

Polymer-based thermal management materials (TIMs) show great potentials as TIMs due to their excellent properties, such as high insulation, easy processing, and good flexibility. However, the limited thermal conductivity seriously hinders their practical applications in high heat generation devices. Herein, highly transparent, insulating, and super-flexible cellulose reinforced polyvinyl alcohol/nylon12 modified hexagonal boron nitride nanosheet (PVA/(CNC/PA-BNNS)) films with quasi-isotropic thermal conductivity are successfully fabricated through a vacuum filtration and subsequent self-assembly process. A special structure composed of horizontal stacked hexagonal boron nitride nanosheets (h-BNNSs) connected by their warping edges in longitudinal direction, which is strengthened by cellulose nanocrystals, is formed in PVA matrix during self-assembly process. This special structure makes the PVA/(CNC/PA-BNNS) films show excellent thermal conductivity with an in-plane thermal conductivity of 14.21 W m-1 K-1 and a through-plane thermal conductivity of 7.29 W m-1 K-1 . Additionally, the thermal conductive anisotropic constants of the as-obtained PVA/(CNC/PA-BNNS) films are in the range of 1 to 4 when the h-BNNS contents change from 0 to 60 wt%, exhibiting quasi-isotropic thermal conductivity. More importantly, the PVA/(CNC/PA-BNNS) films exhibit excellent transparency, super flexibility, outstanding mechanical strength, and electric insulation, making them very promising as TIMs for highly efficient heat dissipation of diverse electronic devices.

SRSF3 functions as an oncogene in colorectal cancer by regulating the expression of ArhGAP30.

BACKGROUND: Splicing factor SRSF3 is an oncogene and overexpressed in various kinds of cancers, however, the function and mechanism involved in colorectal cancer (CRC) remained unclear. The aim of this study was to explore the relationship between SRSF3 and carcinogenesis and progression of CRC. METHODS: The expression of SRSF3 in CRC tissues was detected by immunohistochemistry. The proliferation and invasion rate was analyzed by CCK-8 assay, colony formation assay, transwell invasion assay and xenograft experiment. The expression of selected genes was detected by western blot or real time PCR. RESULTS: SRSF3 is overexpressed in CRC tissues and its high expression was associated with CRC differentiation, lymph node invasion and AJCC stage. Upregulation of SRSF3 was also associated with shorter overall survival. Knockdown of SRSF3 in CRC cells activated ArhGAP30/Ace-p53 and decreased cell proliferation, migration and survival; while ectopic expression of SRSF3 attenuated ArhGAP30/Ace-p53 and increases cell proliferation, migration and survival. Targeting SRSF3 in xenograft tumors suppressed tumor progression in vivo. CONCLUSIONS: Taken together, our data identify SRSF3 as a regulator for ArhGAP30/Ace-p53 in CRC, and highlight potential prognostic and therapeutic significance of SRSF3 in CRC.

Non-equilibrium critical dynamics of bursts in θ and δ rhythms as fundamental characteristic of sleep and wake micro-architecture.

Origin and functions of intermittent transitions among sleep stages, including short awakenings and arousals, constitute a challenge to the current homeostatic framework for sleep regulation, focusing on factors modulating sleep over large time scales. Here we propose that the complex micro-architecture characterizing the sleep-wake cycle results from an underlying non-equilibrium critical dynamics, bridging collective behaviors across spatio-temporal scales. We investigate θ and δ wave dynamics in control rats and in rats with lesions of sleep-promoting neurons in the parafacial zone. We demonstrate that intermittent bursts in θ and δ rhythms exhibit a complex temporal organization, with long-range power-law correlations and a robust duality of power law (θ-bursts, active phase) and exponential-like (δ-bursts, quiescent phase) duration distributions, typical features of non-equilibrium systems self-organizing at criticality. Crucially, such temporal organization relates to anti-correlated coupling between θ- and δ-bursts, and is independent of the dominant physiologic state and lesions, a solid indication of a basic principle in sleep dynamics.

PD-L1 Overexpression on Tumor-Infiltrating Lymphocytes Related to Better Prognosis of Colorectal Cancer.

BACKGROUND: PD-L1 expression on tumor-infiltrating lymphocytes (TILs) has recently been reported as a biomarker for colorectal cancer (CRC). However, the prognostic and clinical significance of PD-L1 on TILs in CRC remains controversial. We performed this meta-analysis to evaluate the association between the PD-L1 expression on TILs and clinicopathological features and prognosis of CRC patients. METHODS: A comprehensive literature search for relevant studies published up to Feb 2020 was performed using Medline, Embase, and Web of Science. Odds ratio (OR) with 95% CI was selected to appraise the correlation between PD-L1 expression on TILs with prognostic and clinicopathological characteristics of CRC patients. Begg's and Egger's test were used to assess publication bias. The statistical analysis was conducted using Stata software. RESULTS: A total of 19 studies including 5,213 CRC cases were included in this meta-analysis. The pooled results showed that PD-L1 overexpression on TILs was relevant to longer OS (OR = 1.36, 95% CI = 1.19 - 1.55, p < 0.01) and longer DFS/RFS (OR = 1.22, 95% CI = 1.03 - 1.44, p = 0.02). Moreover, CRC patients with high expression of PD-L1 on TILS was associated with lower T stage (OR = 2.30, 95% CI = 1.85 - 2.87, p < 0.01), less lymph node in-vasion (OR = 1.48, 95% CI = 1.03 - 2.13, p = 0.03), less distant metastasis (OR = 2.56, 95% CI = 1.81 - 3.64, p < 0.01), earlier TNM stage (OR = 1.93, 95% CI = 1.34 - 2.66, p < 0.01), later tumor grade (OR = 0.38, 95% CI = 0.23 - 0.62, p < 0.01) and high MSI status (OR = 0.36, 95% CI = 0.25 - 0.52, p < 0.01). But it is not related to tumor size, tumor differentiation, MMR status, BRAF mutant, and KRAS mutant. CONCLUSIONS: This meta-analysis revealed that PD-L1 expression on TILs can serve as a significant biomarker for positive prognosis and clinicopathological features of CRC. Our results may provide some useful information when using PD-L1 expression to predict the survival of CRC patients and to select the beneficial CRC patients from PD-1/PD-L1 antibody treatment.

Therapeutic Development of Immune Checkpoint Inhibitors.

Immune checkpoint blockade (ICB) has been proven to be an effective strategy for enhancing the effector activity of anti-tumor T cells, and checkpoint blockers targeting CTLA-4, PD-1, and PD-L1 have displayed strong and durable clinical responses in certain cancer patients. The new hope brought by ICB therapy has led to the boost in therapeutic development of ICBs in recent years. Nonetheless, the therapeutic efficacy of ICBs varies substantially among cancer types and patients, and only a proportion of cancer patients could benefit from ICBs. The emerging targets and molecules for enhancing anticancer immunity may bring additional therapeutic opportunities for cancer patients. The current challenges in the ICB therapy have been discussed, aimed to provide further strategies for maximizing the efficacy of ICB therapy.

Metabolome Analysis of Multi-Connected Biparental Chromosome Segment Substitution Line Populations.

Metabolomic analysis coupled with advanced genetic populations represents a powerful tool with which to investigate the plant metabolome. However, genetic analyses of the rice (Oryza sativa) metabolome have been conducted mainly using natural accessions or a single biparental population. Here, the flag leaves from three interconnected chromosome segment substitution line populations with a common recurrent genetic background were used to dissect rice metabolic diversity. We effectively used multiple interconnected biparental populations, constructed by introducing genomic segments into Zhenshan 97 from ACC10 (A/Z), Minghui 63 (M/Z), and Nipponbare (N/Z), to map metabolic quantitative trait loci (mQTL). A total of 1,587 mQTL were generated, of which 684, 479, and 722 were obtained from the A/Z, M/Z, and N/Z chromosome segment substitution line populations, respectively, and we designated 99 candidate genes for 367 mQTL. In addition, 1,001 mQTL were generated specifically from joint linkage analysis with 25 candidate genes assigned. Several of these candidates were validated, such as LOC_Os07g01020 for the in vivo content of pyridoxine and its derivative and LOC_Os04g25980 for cis-zeatin glucosyltransferase activity. We propose a novel biosynthetic pathway for O-methylapigenin C-pentoside and demonstrated that LOC_Os04g11970 encodes a component of this pathway through fine-mapping. We postulate that the methylated apigenin may confer plant disease resistance. This study demonstrates the power of using multiple interconnected populations to generate a large number of veritable mQTL. The combined results are discussed in the context of functional metabolomics and the possible features of assigned candidates underlying respective metabolites.

Omeprazole prevents CDX2 and SOX9 expression by inhibiting hedgehog signaling in Barrett's esophagus cells.

Activation of hedgehog (Hh) signaling contributes to the progression of Barrett's esophagus (BE), which increases the risk of esophageal adenocarcinoma. Recent clinical studies revealed that proton-pump inhibitors (PPIs) but not H2 receptor antagonists (H2RAs) were associated with a decreased risk of esophageal adenocarcinoma. We would like to know whether PPIs interfere with BE progression during BE treatment. Here, we explored the role of omeprazole on Hh signaling and expression of two crucial biomarkers of BE, SOX9 and CDX2. We demonstrated that bile acids elevated expression of Hh pathway target genes, such as GLI1 and PTCH1, and induced SOX9 and CDX2 up-regulation in both CP-A and CP-B cells. Omeprazole, but not famotidine, down-regulated these genes induced by bile acids. In addition, omeprazole-induced down-regulation of SOX9 and CDX2 was mediated by Hh signaling. To explore the mechanisms by which omeprazole inhibits Hh signaling, we performed luciferase assay but did not find any effects of omeprazole on the activity of GLI1 promoter, the critical transcription factor of Hh signaling. Therefore, we used miRNA sequencing and a bioinformatics tool in our study to identify the differently expressed miRNAs in BE organoids treated with or without omeprazole, and we identified miR-2116-3p was involved in omeprazole-mediated inhibition of Hh signaling and subsequent down-regulation of SOX9 and CDX2. Collectively, our data indicate omeprazole inhibits Hh signaling and subsequent SOX9 and CDX2 expression via up-regulating miR-2116-3p. We have demonstrated a novel acid-independent mechanism of omeprazole that might yield valuable insight into clinical management of BE progression, irrespective of acid reflux symptoms.

Helicobacter Pylori Infection Increases the Risk of Colorectal Adenomas: an Updated Meta-Analysis.

BACKGROUND: H. pylori infection has been reported as a risk factor for colorectal adenoma (CRA); however, the clinical results were controversial. Therefore, we performed a meta-analysis to evaluate the association of H. pylori infection and CRA risk. METHODS: A comprehensive literature search for relevant studies published up to November 2017 was performed using Medline and Embase, and the statistical analysis was conducted using Stata software. RESULTS: A total of twenty-five studies including 8,675 cases and 15,275 controls were included in the analysis. The pooled analysis showed that H. pylori infection was associated with an increased risk of CRA (OR = 1.86, 95% CI = 1.55 - 2.23). Subgroup analyses according to the ethnicity, study type, and H. pylori detection method were further conducted. The results showed that H. pylori infection was associated with an increased risk of CRA both in Caucasian (OR = 2.23, 95% CI = 1.36 - 3.66) and Asian population (OR = 1.58, 95% CI = 1.36 - 1.82). Both the case-control studies and cross sectional studies suggested the H. pylori infection could promote the risk of CRA (case control: OR was 2.00, 95% CI = 1.22 - 3.28; cross-sectional: OR was 1.68, 95% CI = 1.43 - 1.99). For H. pylori infection detection methods, there is significant association between H. pylori infection and CRA risk using the serum IgG method and RUT, but not with the UBT and IHC method. CONCLUSIONS: This analysis suggests that H. pylori infection may be a risk factor for CRA.

CD24 Overexpression Related to Lymph Node Invasion and Poor Prognosis of Colorectal Cancer.

BACKGROUND: Cluster of differentiation 24 (CD24) has recently been reported as a biomarker for colorectal cancer. However, the clinical and prognostic significance of CD24 in colorectal cancer remains controversial. Therefore, we performed a meta-analysis to clarify this issue. METHODS: A comprehensive literature search was performed using Medline, Embase, Web of Science, and CNKI, and the statistical analysis was conducted using Stata software. RESULTS: A total of thirteen studies including 2,180 cases were included in this meta-analysis. The pooled analysis indicated that CD24 expression was associated with lymph node invasion (RR = 0.71 (negative versus positive), 95% CI = 0.52 - 0.96, p = 0.02, Figure 3), differentiation (RR = 0.81 (well versus poor), 95% CI = 0.67 - 0.99, p = 0.04), and T stage (RR = 0.74 (T1 + T2 versus T3 + T4), 95% CI = 0.65 - 0.85, p = 0.00). The prognosis analysis also suggested CD24 overexpression indicating poorer 5-year OS rate (RR = 0.74, 95% CI = 0.58 - 0.93, p = 0.01) However, CD24 was not associated with other clinicopathological features such as tumor size, tumor grade, distant metastasis, TNM stage and Dukes stage. CONCLUSIONS: Taken together, this meta-analysis suggested that CD24 is an efficient prognostic factor in colorectal cancer.

OCT1 is a determinant of synbindin-related ERK signalling with independent prognostic significance in gastric cancer.

OBJECTIVE: Octamer transcription factor 1 (OCT1) was found to be expressed in intestinal metaplasia and gastric cancer (GC), but the exact roles of OCT1 in GC remain unclear. The objective of this study was to determine the functional and prognostic implications of OCT1 in GC. DESIGN: Expression of OCT1 was examined in paired normal and cancerous gastric tissues and the prognostic significance of OCT1 was analysed by univariate and multivariate survival analyses. The functions of OCT1 on synbindin expression and extracellular signal-regulated kinase (ERK) phosphorylation were studied in vitro and in xenograft mouse models. RESULTS: The OCT1 gene is recurrently amplified and upregulated in GC. OCT1 overexpression and amplification are associated with poor survival in patients with GC and the prognostic significance was confirmed by independent patient cohorts. Combining OCT1 overexpression with American Joint Committee on Cancer staging improved the prediction of survival in patients with GC. High expression of OCT1 associates with activation of the ERK mitogen-activated protein kinase signalling pathway in GC tissues. OCT1 functions by transactivating synbindin, which binds to ERK DEF domain and facilitates ERK phosphorylation by MEK. OCT1-synbindin signalling results in the activation of ERK substrates ELK1 and RSK, leading to increased cell proliferation and invasion. Immunofluorescent study of human GC tissue samples revealed strong association between OCT1 protein level and synbindin expression/ERK phosphorylation. Upregulation of OCT1 in mouse xenograft models induced synbindin expression and ERK activation, leading to accelerated tumour growth in vivo. CONCLUSIONS: OCT1 is a driver of synbindin-mediated ERK signalling and a promising marker for the prognosis and molecular subtyping of GC.

A positive feedback loop between STAT3 and cyclooxygenase-2 gene may contribute to Helicobacter pylori-associated human gastric tumorigenesis.

Persistent infection with Helicobacter pylori (H. pylori) contributes to gastric diseases including chronic gastritis and gastric cancer. However, the pathogenesis of this carcinogenic bacterium has not been completely elucidated. Here, we report that H. pylori rapidly triggers STAT3 signaling and induces STAT3-dependent COX-2 expression both in vitro and in vivo. STAT3 upregulates COX-2 by binding to and increasing the activity of COX-2 promoter. COX-2 in turn regulates IL-6/STAT3 signaling under basal conditions and during H. pylori infection. These findings suggest that a positive feedback loop between STAT3 and COX-2 exists in the basal condition and H. pylori infectious condition. Immunohistochemical staining revealed that H. pylori-positive gastritis tissues exhibited markedly higher levels of pSTAT3(Tyr705) than H. pylori-negative ones. High pSTAT3(Tyr705) levels are correlated with intestinal metaplasia and dysplasia, suggesting pSTAT3(Tyr705) may be useful in the early detection of gastric tumorigenesis. Additionally, a strong positive correlation between STAT3/pSTAT3(Tyr705) levels and COX-2 expression was identified in gastritis and gastric cancer tissues. Together, these findings provide new evidence for a positive feedback loop between STAT3 signaling and COX-2 in H. pylori pathogenesis and may lead to new approaches for early detection and effective therapy of gastric cancer