Mitochondrial DNA copy number and cancer risks: A comprehensive Mendelian randomization analysis.

Mitochondrial DNA plays a critical role in the pathophysiology of cancer. However, the associations between mitochondrial DNA copy number (mtDNA-CN) and cancer risk are controversial. Mendelian randomization (MR) analyses were performed using three independent instrumental variables (IVs) to explore potential associations between mtDNA-CN and 20 types of cancer. The three sets of IVs were primarily obtained from participants in the UK Biobank and the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium using different methods. The outcome data of cancers were investigated using summary statistics from the FinnGen cohort. The potential causal associations were evaluated using the MR-Egger regression, weighted median, inverse-variance weighted (IVW), and weighted mode methods. The robustness of IVW estimates was validated using leave-one-out sensitivity analysis. Additionally, a meta-analysis was conducted to pool results from three sets of IVs. The results revealed that genetically predicted mtDNA-CN was not associated with cancer risk (odds ratio = 1.02; 95% confidence interval: 0.95-1.10). Subgroup analyses indicated no causal association between mtDNA-CN and breast, lung, prostate, skin, colorectal, gastric, liver, cervical uteri, esophageal, thyroid, bladder, pancreas, kidney, corpus uteri, ovary, brain, larynx, and anus cancers. It was observed that mtDNA-CN was associated with lip, oral cavity, and testis cancers. However, these results should be interpreted with caution because a small number of patients with lip and oral cavity or testis cancers were included. The comprehensive MR analysis demonstrated that mtDNA-CN is not a suitable biomarker for tumor risk assessment.

LncRNA expression signature identified using genome-wide transcriptomic profiling to predict lymph node metastasis in patients with stage T1 and T2 gastric cancer.

BACKGROUND: Lymph node (LN) status is vital to evaluate the curative potential of relatively early gastric cancer (GC; T1-T2) treatment (endoscopic or surgery). Currently, there is a lack of robust and convenient methods to identify LN metastasis before therapeutic decision-making. METHODS: Genome-wide expression profiles of long noncoding RNA (lncRNA) in primary T1 gastric cancer data from The Cancer Genome Atlas (TCGA) was used to identify lncRNA expression signature capable of detecting LN metastasis of GC and establish a 10-lncRNA risk-prediction model based on deep learning. The performance of the lncRNA panel in diagnosing LN metastasis was evaluated both in silico and clinical validation methods. In silico validation was conducted using TCGA and Asian Cancer Research Group (ACRG) datasets. Clinical validation was performed on T1 and T2 patients, and the panel's efficacy was compared with that of traditional tumor markers and computed tomography (CT) scans. RESULTS: Profiling of genome-wide RNA expression identified a panel of lncRNA to predict LN metastasis in T1 stage gastric cancer (AUC = 0.961). A 10-lncRNA risk-prediction model was then constructed, which was validated successfully in T1 and T2 datasets (TCGA, AUC = 0.852; ACRG, AUC = 0.834). Thereafter, the clinical performance of the lncRNA panel was validated in clinical cohorts (T1, AUC = 0.812; T2, AUC = 0.805; T1 + T2, AUC = 0.764). Notably, the panel demonstrated significantly better performance compared with CT and traditional tumor markers. CONCLUSIONS: The novel 10-lncRNA could diagnose LN metastasis robustly in relatively early gastric cancer (T1-T2), with promising clinical potential.

Effects of aquatic nitrogen pollution on particle-attached ammonia-oxidizing bacteria in urban freshwater mesocosms.

Ammonia-oxidizing bacteria (AOB) attached to aquatic particles are important participants in ammonia oxidation within hypereutrophic urban river systems. To explore the effects of aquatic nitrogen pollution on particle-attached AOB in urban river, we utilized laboratory mesocosms to investigate the responses of abundances and community structure of particle-attached AOB to ammonium (NH4+) and glycine (C2H5NO2) amendments. The abundance and community structure of particle-attached AOB were determined with quantitative real-time polymerase chain reaction (qRT-PCR) analysis and high-throughput sequencing based on the AOB amoA gene, respectively. Most of the bacterial amoA sequences from different treatments were affiliated with uncultured Nitrosomonadaceae bacterium, uncultured Nitrosomonadales bacterium, and uncultured Nitrosomonas sp., which are closely associated with organic pollution. The species richness and diversity of particle-attached AOB communities increased with increasing NH4+ and glycine concentrations. Treatment effects contributed significantly to the variance in particle-attached AOB communities. Although, glycine was completely transformed to ammonium within a few days and ammonium amendments would change the community structure of particle-attached AOB, the effect of glycine on the particle-attached AOB community was regulated by both the resulting ammonium concentration, as well as organic matter availability to the heterotrophic bacteria. Results suggested that high anthropogenic nitrogen loadings appeared to promote higher particle-attached AOB richness and diversity in the hypereutrophic urban river, but the effect of organic nitrogen on the particle-attached AOB community was different from the effect of inorganic nitrogen. This study informs ammonia oxidization mechanisms in the hypereutrophic urban rivers, which contributes to remediation/restoration strategies.

INHBA is a prognostic predictor for patients with colon adenocarcinoma.

BACKGROUND: Colon adenocarcinoma (COAD) is one of the most lethal cancers. It is particularly important to accurately predict prognosis and to provide individualized treatment. Several lines of evidence suggest that genetic factors and clinicopathological characteristics are related to cancer onset and progression. The aim of this study was to identify potential prognostic genes and to develop a nomogram to predict survival and recurrence of COAD. METHODS: To identify potential prognostic genes in COAD, microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were obtained from GEO2R. Venn diagram was drawn to select those genes that were overexpressed in all datasets, and survival analyses were performed to determine the prognostic values of the selected genes. New nomograms were developed based on the genes that were significantly associated with prognosis. Clinicopathological data were obtained from The Cancer Genome Atlas (TCGA). Finally, the new nomograms were compared head-to-head comparison with the TNM nomogram. RESULTS: From GSE21510, GSE110223, GSE113513 and GSE110224, a total of 834, 218, 236 and 613 overexpressed DEGs were screened out, respectively. The Venn diagram revealed that 12 genes appeared in all four profiles. After survival analyses, only INHBA expression was associated with both overall survival (OS) and disease-free survival (DFS). Multivariate analyses revealed that age, pathological N and pathological M were significant independent risk factors for OS. Age, pathological N, pathological M and INHBA were significant independent risk factors for DFS. Two prediction models predicted the probability of 3-year survival and 5-year survival for OS and DFS, respectively. The concordance indexes were 0.785 for 3-year overall survival, 0.759 for 5-year overall survival, 0.789 for 3-year disease-free survival and 0.757 for 5-year disease-free survival. The head-to-head comparison according to time-dependent ROC curves indicated that the new models had higher predictive accuracy. Decision curve analyses (DCA) indicated that the clinical value of the new models were higher than TNM models for predicting disease-free survival. CONCLUSION: The combination of INHBA expression with a clinical nomogram improves prognostic power in colon adenocarcinoma, especially for predicting recurrence.

Delayed gastric emptying after Pancreaticoduodenectomy: a propensity score-matched analysis and clinical Nomogram study.

BACKGROUND: Delayed gastric emptying (DGE) is a common and frustrating complication of pancreaticoduodenectomy (PD). Studies suggest that surgical methods and other clinical characteristics may affect the occurrence of DGE. Nevertheless, the results of such studies are conflicting. The objective of this work was to perform a propensity score matching analysis to compare the differences between pylorus-preserving pancreaticoduodenectomy (PPPD) and pylorus-removing pancreaticoduodenectomy (PrPD) and to develop and validate a nomogram to predict the probability of severe DGE (SDGE). METHODS: This retrospective study enrolled patients who underwent PD at our institution from December 2009 to December 2018. Propensity score matching was applied at a ratio of 1:1 to compare PPPD and PrPD groups. We compared incidence of complications, DGE, lengths of hospital stay, hospitalization costs, and mortality. Univariate and multivariate logistic regression analysis were performed to identify potential risk factors of severe DGE. Finally, a nomogram was developed and validated to predict severe DGE. RESULTS: The PPPD group had a significantly higher rate of postoperative pancreatic fistula (29.9% versus 17.4%, P < 0.05) and less blood loss (463.7 ml versus 694.9 ml, P < 0.05). After propensity score matching, the PPPD group had a significantly higher rate of postoperative DGE (19.2% versus 3.8%, P < 0.05), especially severe DGE (17.3% versus 0%) than the PrPD group. There were no significant differences in terms of lengths of hospital stay, hospitalization costs or mortality between the groups. Surgical method, biliary leakage, abdominal infection, and diabetes were independent risk factors for SDGE. The nomogram predicted SDGE with a training C - index of 0.798 and a validation C - index of 0.721. CONCLUSION: PPPD increases the risk of DGE than PrPD, especially SDGE. Our prediction nomogram gives good prediction of SDGE after pancreaticoduodenectomy.

Dietary carbohydrate intake, glycaemic index, glycaemic load and digestive system cancers: an updated dose-response meta-analysis.

Several studies analysed the associations between dietary carbohydrate intake, glycaemic index (GI) and glycaemic load (GL) and digestive system cancers; however, the results remain controversial. This study was to perform a meta-analysis evaluating the quantitative and dose-response associations between carbohydrate intake, GI and GL, and risk of digestive system cancers. We searched medical and biological databases up to June 2018 and identified twenty-six cohort studies and eighteen case-control studies. Meta-analytic fixed or random effects models were applied to process data. We also performed dose-response analysis, meta-regression and subgroup analyses. We found that high levels of GI were significantly associated with the risk of digestive system cancers at the highest compared with the lowest categories from cohort studies (summary relative risk (RR)=1·10, 95 % CI 1·05, 1·15). Similar effects were observed from case-control studies of the comparison between the extreme categories, but the difference did not reach statistical significance (summary OR=1·28, 95 % CI 0·97, 1·69). We also observed significant dose-response association between GI and digestive system cancers, with every 10-unit increase in GI (summary RR=1·003; 95 % CI 1·000, 1·012 for cohort studies; summary OR=1·09; 95 % CI 1·06, 1·11 for case-control studies). In addition, both cohort studies and case-control studies indicated that neither dietary carbohydrate intake nor GL bore any statistical relationship to digestive system cancers from the results of the highest compared with the lowest categories analyses and dose-response analyses. The results suggest a moderate association between high-GI diets and the risk of digestive system cancers.

Particle-attached microorganism oxidation of ammonia in a hypereutrophic urban river.

To elucidate the importance and mechanisms of particle-attached microorganisms on ammonia oxidation, we conducted a controlled simulation experiment with samples collected from the Shunao River, an ammonia-rich hypereutrophic urban river in eastern China. The effects of particle concentration, ammonia concentration, organic carbon source and concentration, dissolved oxygen concentration, and pH were investigated on ammonia transformation rate (ammonia removal rate and NO2 - + NO3 - accumulation rate) and abundance of particle-attached ammonia-oxidizing bacteria (AOB) and archaea (AOA). All these factors significantly influenced ammonia transformation rates. Our results provided direct evidence that microorganisms attached on riverine suspended particles were associated with ammonia oxidation. Sequencing revealed that the AOA genus Nitrososphaera, and the AOB genus Nitrosomonas were the most dominant in particle-attached ammonia-oxidizing microbial communities. Further analysis showed that AOB communities had higher species richness and diversity compared with AOA communities. Additionally, AOB amoA genes were ~10-100 times more abundant than AOA amoA genes, and AOB abundance was more strongly correlated with ammonia transformation rates than AOA abundance in most experiments, indicating that particle-attached AOB were more important than AOA in the hypereutrophic urban river. This study adds to our knowledge of particle-attached microorganism oxidation of ammonia.

Downregulation of HDAC6 promotes angiogenesis in hepatocellular carcinoma cells and predicts poor prognosis in liver transplantation patients.

HDAC6, a member of histone deacetylation family, is reported to play critical roles in transcription regulation, cell cycle progression, and cancer development. However, the expression status and significance of HDAC6 in hepatocellular carcinoma (HCC) is still controversial, and little is known about the role of HDAC6 in HCC angiogenesis and the correlation between expression of HDAC6 and prognosis of HCC patients with liver transplantation (LT). Our experiments showed HDAC6 was significantly downregulated in HCC tissues (P = 0.025), and low expression of HDAC6 was found to be closely associated with recurrence (P = 0.006), and could predict poor recurrence-free survival (P = 0.047) for HCC patients with LT. Moreover, knockdown of HDAC6 could promote HUVEC migration, proliferation, and tube formation in vitro, and suppress HCC cell apoptosis, and promote HCC cell proliferation in hypoxia. Remarkably, knockdown of HDAC6 could significantly up-regulate the expression of HIF-1α and VEGFA in vivo and in vitro, which facilitated HIF-1α mediated angiogenesis in HCC. Further study showed that HDAC6 was down-regulated under hypoxia in a time dependent manner. Hence, the present findings suggested a role for suppression of HDAC6 in promoting the angiogenesis in HCC by HIF-1α/VEGFA axis. HDAC6 may serve as a recurrence predictive factor for HCC after LT and pharmacological or genetic activation of HDAC6 could be a novel anti-angiogenesis approach for HCC therapy.

The response of epiphytic bacteria on Vallisneria natans (Lour.) Hara (Hydrocharitaceae) to increasing nutrient loadings.

To investigate the effects of water column nutrient loading on epiphytic bacteria, we determined the abundance and community composition of epiphytic bacteria on the submerged macrophyte Vallisneria natans (Lour.) Hara during the growth season (June-October) under four different nutrient concentrations (nitrogen (N)-phosphorus (P) in mg L(-1) : 0.5-0.05, 1.0-0.1, 5.0-0.5, 10.0-1.0; hereafter NP-1, NP-2, NP-3, NP-4, respectively), using epifluorescence microscopy method and terminal restriction fragment length polymorphism (T-RFLP) analysis, respectively. Relative to low nutrient conditions (NP-1), there was no significant effect on the epiphytic bacterial community, and even a decrease in the number of epiphytic bacteria, which linked to the well growth status of host macrophytes at moderate nutrient conditions (NP-2). However, further nutrient enrichment induced significant increase in the abundance of epiphytic bacteria, and marked changes in the community structures of epiphytic bacteria. Furthermore, at high nutrient conditions, epiphytic bacterial communities varied widely temporally, and were not stable compared with those at the lower nutrient conditions. These results indicated that the effects of nutrient enrichment on epiphytic bacteria were nonlinear and dependent on the nutrient concentrations in the water.

Pyrosequencing analysis of free-living and attached bacterial communities in Meiliang Bay, Lake Taihu, a large eutrophic shallow lake in China.

To elucidate the relationship between particle-attached (PA, ≥ 5.0 µm) and free-living (FL, 0.2-5.0 µm) bacterial communities, samplings were collected seasonally from November 2011 to August 2012 in Meiliang Bay, Lake Taihu, China. We used 454 pyrosequencing of 16S rRNA genes to study bacterial diversity and structure of PA and FL communities. The analysis rendered 37,985 highly qualified reads, subsequently assigned to 1755 operational taxonomic units (97% similarity) for the 8 samples. Although 27 high-level taxonomic groups were obtained, the 3 dominant phyla (Proteobacteria, Actinobacteria, and Bacteroidetes) comprised about 75.9% and 82.4% of the PA and FL fractions, respectively. Overall, we found no significant differences between community types, as indicated by ANOSIM R statistics (R = 0.063, P > 0.05) and the Parsimony test (P = 0.222). Dynamics of bacterial communities were correlated with changes in concentrations of total suspended solids (TSS) and total phosphorus (TP). In summer, a significant taxonomic overlap in the 2 size fractions was observed when Cyanobacteria, a major contributor of TSS and TP, dominated in the water, highlighting the potential rapid exchange between PA and FL bacterial populations in large shallow eutrophic lakes.

An ultrasonic method for separation of epiphytic microbes from freshwater submerged macrophytes.

Epiphytic microbes are common inhabitants of freshwater submerged macrophytes, which play an important role in aquatic ecosystems. An important precondition for studying the epiphytic microbes is having an effective method of separating the attached microbes from the host macrophytes. We developed an ultrasound-based method for separating epiphytic microbes from freshwater submerged macrophytes, optimized the conditions of ultrasonic separation with an orthogonal experimental design, and compared the optimized ultrasonic method with manual separation. This method can be particularly useful for freshwater submerged macrophytes having a complex morphology.

The effect of metabolism-related lifestyle and clinical risk factors on digestive system cancers in East Asian populations: a two-sample Mendelian randomization analysis.

Metabolic factors play a critical role in the development of digestive system cancers (DSCs), and East Asia has the highest incidence of malignant tumors in the digestive system. We performed a two-sample Mendelian randomization analysis to explore the associations between 19 metabolism-related lifestyle and clinical risk factors and DSCs, including esophageal, gastric, colorectal, hepatocellular, biliary tract, and pancreatic cancer. The causal association was explored for all combinations of each risk factor and each DSC. We gathered information on the instrumental variables (IVs) from various sources and retrieved outcome information from Biobank Japan (BBJ). The data were all from studies of east Asian populations. Finally, 17,572 DSCs cases and 195,745 controls were included. Our analysis found that genetically predicted alcohol drinking was a strong indicator of gastric cancer (odds ratio (OR) = 0.95; 95% confidence interval (CI): 0.93-0.98) and hepatocellular carcinoma (OR = 1.11; 95% CI: 1.05-1.18), whereas coffee consumption had a potential protective effect on hepatocellular carcinoma (OR = 0.69; 95% CI: 0.53-0.90). Triglyceride was potentially associated with a decreased risk of biliary tract cancer (OR = 0.53; 95% CI: 0.34-0.81), and uric acid was associated with pancreatic cancer risk (OR = 0.59; 95% CI: 0.37-0.96). Metabolic syndrome (MetS) was associated with esophageal and gastric cancer. Additionally, there was no evidence for a causal association between other risk factors, including body mass index, waist circumference, waist-to-hip ratio, educational levels, lipoprotein cholesterol, total cholesterol, glycine, creatinine, gout, and Graves' disease, and DSCs. The leave-one-out analysis revealed that the single nucleotide polymorphism (SNP) rs671 from the ALDH2 gene has a disproportionately high contribution to the causal association between alcohol drinking and gastric cancer and hepatocellular carcinoma, as well as the association between coffee consumption and hepatocellular carcinoma. The present study revealed multiple metabolism-related lifestyle and clinical risk factors and a valuable SNP rs671 for DSCs, highlighting the significance of metabolic factors in both the prevention and treatment of DSCs.

Comparing the long-term follow-up anal function between robot-assisted and laparoscopic surgery for low rectal cancer: A meta-analysis and systematic review.

BACKGROUND: Robotic-assisted surgery (RAS) is increasingly used for treating low rectal cancer. Its comparative effectiveness against laparoscopic surgery (LAS) in enhancing long-term anal function remains uncertain. METHODS: A meta-analysis was conducted to compare long-term anal function outcomes between patients undergoing RAS and LAS. Meta-regression and sensitivity analyses were performed to assess available evidence. Studies published up to September 2023 in English or Chinese were included. RESULTS: Seven studies were identified. RAS patients exhibited lower low anterior resection syndrome (LARS) scores (standardised mean difference [SMD] = -1.39; 95% confidence interval [CI]: -2.64 to -0.15) and Wexner scores (SMD = -0.74; 95% CI: -1.20 to -0.27) compared with LAS patients. However, RAS did not significantly reduce major LARS risk (odds ratio = 0.85; 95% CI: 0.68-1.04). CONCLUSIONS: RAS slightly improved postoperative anal function compared with LAS. Further studies with large samples are warranted to confirm or update our findings.

The response of epiphytic microbes to habitat and growth status of Potamogeton malaianus Miq. in Lake Taihu.

To investigate the effects of different habitats and plant growth status on abundance, biomass and community structure of epiphytic microbes, Potamogeton malaianus Miq. at two different habitats (Gonghu Bay and East Taihu) in Lake Taihu were collected in June, August and November (corresponding to the period of development of submerged macrophytes). The relative abundance of major epiphytic algae groups was determined with high performance liquid chromatography (HPLC), and the structures and dynamics of epiphytic bacteria were assessed by terminal restriction fragment length polymorphism (T-RFLP) analysis. Results showed that the biomass of epiphytic microbes was not significant difference between the two sites, and the analysis of similarity found no significant intra-lake heterogeneity in community structure, but the temporal heterogeneity of epiphytic microbes was significant, which linked to the growth state of submerged macrophytes and water temperature. The difference in community structure between June and August was larger than that between August and November at each site, indicating that the growth status of submerged macrophytes has a greater impact on the community structure of epiphytic microbes than the seasonal variation of environmental conditions.

Development and validation of metabolic models for predicting survival and immune status of hepatocellular carcinoma patients.

BACKGROUND: Metabolic reprogramming is associated with the carcinogenesis of hepatocellular carcinoma (HCC). The effects of metabolism-related genes on predicting survival and immune status in HCC remain unclear. OBJECTIVES: To develop and validate metabolic models for predicting the survival and immune status of HCC patients. MATERIAL AND METHODS: The metabolic core genes for overall survival (OS) and disease-free survival (DFS) were retrieved. Then, glycolysis and fatty acid metabolism prognostic models were constructed and validated using The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) data. Decision trees based on machine learning were developed for classifying the prognostic risks of HCC patients. The associations between the metabolic signatures, immunotherapy and immune cell infiltration were investigated. Experimental validations were performed using reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry (IHC). RESULTS: We identified 30 prognostic core genes for glycolysis metabolism and 12 prognostic core genes for fatty acid metabolism. Subsequently, 2 glycolysis models and 2 fatty acid metabolism models were developed to predict the OS and DFS of HCC patients, respectively. Two decision trees were constructed to classify the low-, intermediateand high-risk groups of HCC patients for OS and DFS. Moreover, the patients in the high-risk groups of glycolysis and fatty acid metabolic models tended to have higher expression of programmed cell death ligand-1 (PD-L1 or CD274), programmed cell death 1 (PDCD1), cytotoxic T-lymphocyte-associated protein-4 (CTLA-4), and lymphocyte activating 3 (LAG3). Most of the metabolic core genes were significantly associated with immune cell infiltration. In addition, ATP-binding cassette subfamily B member 6 (ABCB6), peptidylprolyl isomerase A (PPIA), uroporphyrinogen decarboxylase (UROD), and non-SMC condensin II complex subunit H2 (NCAPH2) were positively correlated with both tumor mutational burden (TMB) and microsatellite instability (MSI) scores. The expression of ABCB6, PPIA, UROD, and NCAPH2 was validated using RT-qPCR and IHC. CONCLUSIONS: We established novel prognostic models based on metabolism-related genes to better predict the outcome and immune status of HCC patients.

Mitochondrial DNA copy number is associated with Crohn's disease: a comprehensive Mendelian randomization analysis.

Mitochondrial DNA plays a critical role in the pathophysiological process of inflammation. However, the relationship between mitochondrial DNA copy number (mtDNA-CN) and inflammatory bowel diseases (IBD) remains poorly understood. We conducted a comprehensive Mendelian randomization (MR) using three instrumental variables (IVs) to explore the causal associations between mtDNA-CN and IBD, including Crohn's disease (CD), ulcerative colitis (UC). MR-Egger regression, weighted median, inverse-variance weighted (IVW), and weighted mode methods were used to evaluate the potential causal associations. The robustness of the IVW estimates was determined using the leave-one-out sensitivity test. A meta-analysis was conducted to pool the results from the three sets of IVs. Upon analysis, the findings of the current study revealed that genetically predicted mtDNA-CN was not associated with IBD (CD + UC) and UC. The results of MR analyses between mtDNA-CN and CD risk were inconsistent by using three sets of IVs. After a meta-analysis, we found that genetically predicted mtDNA-CN was associated with CD risk (odds ratio = 2.09; 95% confidence interval: 1.37-3.18). This finding was also confirmed by multivariable MR analyses and remained robust when tested with the leave-one-out sensitivity test. In conclusion, genetically predicted mtDNA-CN was found to be associated with CD risk. Therefore, mtDNA levels in the blood could potentially be used as a marker for CD risk assessment. Further studies are needed to elucidate the underlying mechanisms and validate the results of this study.

Single-Incision Laparoscopic Intragastric Surgery for Gastric Submucosal Tumors Located Near the Esophagogastric Junction.

Background: Laparoscopic local resection of the stomach for gastric submucosal tumors (SMTs) is widely accepted by surgeons. For SMTs located near the esophagogastric junction (EGJ), simple laparoscopic wedge resection is rarely performed owing to concerns of causing cardia deformities or stenosis. Single-incision laparoscopic intragastric surgery (sLIGS) has been used to treat SMTs located near the EGJ in carefully selected cases. Methods: We modified sLIGS using a subxiphoid incision. Thirteen consecutive patients with intraluminal or intramural growth type gastric SMTs located near the EGJ underwent sLIGS at our institution from July 2018 to April 2020. Results: Thirteen operations were successfully performed using sLIGS, including eight full-thickness resections and five submucosal resections. There were no conversions to an open procedure and all tumors were confirmed to have negative margins on pathology. The mean operation time was 100 ± 10 minutes (range, 85-160 minutes). The mean blood loss was 50 ± 10 mL (range, 50-100 mL). The mean length of postoperative hospital stay was 7 ± 1.5 days (6-10 days). One patient was found to have oozing of blood confirmed by gastroscopy postoperatively and recovered after stopping antiplatelet therapy. Ten cases were gastrointestinal stromal tumor (GIST), two cases were leiomyoma, and one case was neuroendocrine neoplasm. Of the 10 GISTs, 9 were classified as low risk; 1 showed medium risk and the patient received adjuvant imatinib therapy. There were no tumor recurrences during a mean follow-up of 14 ± 4 months (range, 5-25 months). Conclusions: This modified sLIGS for the treatment of the gastric SMTs located near the EGJ is simple and safe. This can be used as an alternative treatment for gastric SMTs near the EGJ.

N6-methyladenosine modification and metabolic reprogramming of digestive system malignancies.

N6-methyladenosine (m6A) is a eukaryotic post-transcriptional modification involved in cell growth and developmental processes, including RNA transcription, alternative splicing, degradation, and translation. It is also involved in the development of various cancers. Metabolic reprogramming enables cancer cells to obtain nutrition from the tumor microenvironment, which is a hallmark of cancer. Numerous studies have shown that m6A modification induces metabolic reprogramming in cancer by regulating the expression of metabolic core genes or activation of metabolic signaling pathways. Digestive system malignancies include esophageal, gastric, colorectal, liver, pancreatic, and other cancers, all of which are associated with poor outcomes. This review summarizes the role of m6A modification in the metabolic reprogramming of digestive system malignancies, with the aim of identifying therapeutic strategies.

Activation of YAP1 by N6-Methyladenosine-Modified circCPSF6 Drives Malignancy in Hepatocellular Carcinoma.

Circular RNAs (circRNA) and N6-methyladenosine (m6A) modification are extensively involved in the progression of diverse tumors, including hepatocellular carcinoma (HCC). However, the cross-talk between circRNAs and m6A remains elusive in the pathogenesis of HCC. Here we investigated m6A-mediated regulation of circRNAs in HCC. m6A-related circRNAs were identified by integrating information from two published studies, revealing circular cleavage and polyadenylation specific factor 6 (circCPSF6) as a novel m6A-modified circRNA. circCPSF6 was dominated by ALKBH5-mediated demethylation, followed by the recognization and destabilization by YTHDF2. Meanwhile, circCPSF6 was upregulated in HCC specimens, and elevated circCPSF6 expression served as an independent prognostic factor for worse survival of patients with HCC. Loss-of-function assays demonstrated that circCPSF6 maintained cell proliferation and tumorigenicity and reinforced cell motility and tumor metastasis. circCPSF6 triggered expression of YAP1, further activating its downstream cascade. Mechanistically, circCPSF6 competitively bound PCBP2, blunting its binding to YAP1 mRNA, thereby sustaining the stability of YAP1. Functionally, removal of YAP1 reversed the effects of circCPSF6 in vitro and in vivo. Aberrant activation of the circCPSF6-YAP1 axis promoted HCC malignancy. These findings offer novel insights into the regulation of circRNAs by m6A modifications and the role of this epigenetic reprogramming in HCC. SIGNIFICANCE: This study advances the understanding of the interplay between m6A methylation and circRNAs in hepatocellular carcinoma, highlighting the potential of circCPSF6 as a therapeutic target.

Influence of a biofilm bioreactor on water quality and microbial communities in a hypereutrophic urban river.

Biofilms play an important role in degradation, transformation and assimilation of anthropogenic pollutants in aquatic ecosystems. In this study, we assembled a tubular bioreactor containing a biofilm substrate and aeration device, which was introduced into mesocosms to explore the effects of bioreactor on physicochemical and microbial characteristics of a hypereutrophic urban river. The biofilm bioreactor greatly improved water quality, especially by decreasing dissolved inorganic nitrogen (DIN) concentrations, suggesting that biofilms were the major sites of nitrification and denitrification with an oxygen concentration gradient. The biofilm bioreactor increased the abundance of planktonic bacteria, whereas diversity of the planktonic microbial community decreased. Sequencing revealed that Proteobacteria, Bacteroidetes, Planctomycetes, and Actinobacteria were the four predominant phyla in the planktonic microbial community, and the presence of the biofilm bioreactor increased the relative abundance of Proteobacteria. Variations in microbial communities were most strongly affected by the presence of the biofilm bioreactor, as indicated by principal component analysis (PCA) and redundancy analysis (RDA). This study provides valuable insights into changes in ecological characteristics associated with self-purification processes in hypereutrophic urban rivers, and may be of important for the application of biofilm bioreactor in natural urban river.