Development and validation of a new prognostic model for patients with acute-on-chronic liver failure in intensive care unit.

BACKGROUND: Cirrhotic patients with acute-on-chronic liver failure (ACLF) in the intensive care unit (ICU) have a poor but variable prognoses. Accurate prognosis evaluation can guide the rational management of patients with ACLF. However, existing prognostic scores for ACLF in the ICU environment lack sufficient accuracy. AIM: To develop a new prognostic model for patients with ACLF in ICU. METHODS: Data from 938 ACLF patients in the Medical Information Mart for Intensive Care (MIMIC) database were used to develop a new prognostic model (MIMIC ACLF) for ACLF. Discrimination, calibration and clinical utility of MIMIC ACLF were assessed by area under receiver operating characteristic curve (AUROC), calibration curve and decision curve analysis (DCA), respectively. MIMIC ACLF was then externally validated in a multiple-center cohort, the Electronic Intensive Care Collaborative Research Database and a single-center cohort from the Second Hospital of Hebei Medical University in China. RESULTS: The MIMIC ACLF score was determined using nine variables: ln (age) × 2.2 + ln (white blood cell count) × 0.22 - ln (mean arterial pressure) × 2.7 + respiratory failure × 0.6 + renal failure × 0.51 + cerebral failure × 0.31 + ln (total bilirubin) × 0.44 + ln (internationalized normal ratio) × 0.59 + ln (serum potassium) × 0.59. In MIMIC cohort, the AUROC (0.81/0.79) for MIMIC ACLF for 28/90-day ACLF mortality were significantly greater than those of Chronic Liver Failure Consortium ACLF (0.76/0.74), Model for End-stage Liver Disease (MELD; 0.73/0.71) and MELD-Na (0.72/0.70) (all P < 0.001). The consistency between actual and predicted 28/90-day survival rates of patients according to MIMIC ACLF score was excellent and superior to that of existing scores. The net benefit of MIMIC ACLF was greater than that achieved using existing scores within the 50% threshold probability. The superior predictive accuracy and clinical utility of MIMIC ACLF were validated in the external cohorts. CONCLUSION: We developed and validated a new prognostic model with satisfactory accuracy for cirrhotic patients with ACLF hospitalized in the ICU. The model-based risk stratification and online calculator might facilitate the rational management of patients with ACLF.

Development and validation of risk prediction model for bacterial infections in acute liver failure patients.

Infections significantly increase mortality in acute liver failure (ALF) patients, and there are no risk prediction models for early diagnosis and treatment of infections in ALF patients. This study aims to develop a risk prediction model for bacterial infections in ALF patients to guide rational antibiotic therapy. The data of ALF patients admitted to the Second Hospital of Hebei Medical University in China from January 2017 to January 2022 were retrospectively analyzed for training and internal validation. Patients were selected according to the updated 2011 American Association for the Study of Liver Diseases position paper on ALF. Serological indicators and model scores were collected within 24 h of admission. New models were developed using the multivariate logistic regression analysis. An optimal model was selected by receiver operating characteristic (ROC) analysis, Hosmer-Lemeshow test, the calibration curve, the Brier score, the bootstrap resampling, and the decision curve analysis. A nomogram was plotted to visualize the results. A total of 125 ALF patients were evaluated and 79 were included in the training set. The neutrophil-to-lymphocyte ratio and sequential organ failure assessment (SOFA) were integrated into the new model as independent predictive factors. The new SOFA-based model outperformed other models with an area under the ROC curve of 0.799 [95% confidence interval (CI): 0.652-0.926], the superior calibration and predictive performance in internal validation. High-risk individuals with a nomogram score ≥26 are recommended for antibiotic therapy. The new SOFA-based model demonstrates high accuracy and clinical utility in guiding antibiotic therapy in ALF patients.

Identification and validation of a novel predictive signature based on hepatocyte-specific genes in hepatocellular carcinoma by integrated analysis of single-cell and bulk RNA sequencing.

BACKGROUND: Hepatocellular carcinoma represents a significant global burden in terms of cancer-related mortality, posing a substantial risk to human health. Despite the availability of various treatment modalities, the overall survival rates for patients with hepatocellular carcinoma remain suboptimal. The objective of this study was to explore the potential of novel biomarkers and to establish a novel predictive signature utilizing multiple transcriptome profiles. METHODS: The GSE115469 and CNP0000650 cohorts were utilized for single cell analysis and gene identification. The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) datasets were utilized in the development and evaluation of a predictive signature. The expressions of hepatocyte-specific genes were further validated using the GSE135631 cohort. Furthermore, immune infiltration results, immunotherapy response prediction, somatic mutation frequency, tumor mutation burden, and anticancer drug sensitivity were analyzed based on various risk scores. Subsequently, functional enrichment analysis was performed on the differential genes identified in the risk model. Moreover, we investigated the expression of particular genes in chronic liver diseases utilizing datasets GSE135251 and GSE142530. RESULTS: Our findings revealed hepatocyte-specific genes (ADH4, LCAT) with notable alterations during cell maturation and differentiation, leading to the development of a novel predictive signature. The analysis demonstrated the efficacy of the model in predicting outcomes, as evidenced by higher risk scores and poorer prognoses in the high-risk group. Additionally, a nomogram was devised to forecast the survival rates of patients at 1, 3, and 5 years. Our study demonstrated that the predictive model may play a role in modulating the immune microenvironment and impacting the anti-tumor immune response in hepatocellular carcinoma. The high-risk group exhibited a higher frequency of mutations and was more likely to benefit from immunotherapy as a treatment option. Additionally, we confirmed that the downregulation of hepatocyte-specific genes may indicate the progression of hepatocellular carcinoma and aid in the early diagnosis of the disease. CONCLUSION: Our research findings indicate that ADH4 and LCAT are genes that undergo significant changes during the differentiation of hepatocytes into cancer cells. Additionally, we have created a unique predictive signature based on genes specific to hepatocytes.

Prostaglandin F2α synthase promotes oxaliplatin resistance in colorectal cancer through prostaglandin F2α-dependent and F2α-independent mechanism.

BACKGROUND: Oxaliplatin (Oxa) is the first-line chemotherapy drug for colorectal cancer (CRC), and Oxa resistance is crucial for treatment failure. Prostaglandin F2α synthase (PGF2α) (PGFS), an enzyme that catalyzes the production of PGF2α, is involved in the proliferation and growth of a variety of tumors. However, the role of PGFS in Oxa resistance in CRC remains unclear. AIM: To explore the role and related mechanisms of PGFS in mediating Oxa resistance in CRC. METHODS: The PGFS expression level was examined in 37 pairs of CRC tissues and paracancerous tissues at both the mRNA and protein levels. Overexpression or knockdown of PGFS was performed in CRC cell lines with acquired Oxa resistance (HCT116-OxR and HCT8-OxR) and their parental cell lines (HCT116 and HCT8) to assess its influence on cell proliferation, chemoresistance, apoptosis, and DNA damage. For determination of the underlying mechanisms, CRC cells were examined for platinum-DNA adducts and reactive oxygen species (ROS) levels in the presence of a PGFS inhibitor or its products. RESULTS: Both the protein and mRNA levels of PGFS were increased in the 37 examined CRC tissues compared to the adjacent normal tissues. Oxa induced PGFS expression in the parental HCT116 and HCT8 cells in a dose-dependent manner. Furthermore, overexpression of PGFS in parental CRC cells significantly attenuated Oxa-induced proliferative suppression, apoptosis, and DNA damage. In contrast, knockdown of PGFS in Oxa-resistant HCT116 and HCT8 cells (HCT116-OxR and HCT8-OxR) accentuated the effect of Oxa treatment in vitro and in vivo. The addition of the PGFS inhibitor indomethacin enhanced the cytotoxicity caused by Oxa. Treatment with the PGFS-catalyzed product PGF2α reversed the effect of PGFS knockdown on Oxa sensitivity. Interestingly, PGFS inhibited the formation of platinum-DNA adducts in a PGF2α-independent manner. PGF2α exerts its protective effect against DNA damage by reducing ROS levels. CONCLUSION: PGFS promotes resistance to Oxa in CRC via both PGF2α-dependent and PGF2α-independent mechanisms.

Identification of oxidative stress-related biomarkers associated with the development of acute-on-chronic liver failure using bioinformatics.

Acute-on-chronic liver failure (ACLF) is a serious stage of chronic liver disease with high short-term mortality and no definitely effective treatment. Oxidative stress (OS) is involved in the development of ACLF. OS-related genes targeted therapy may provide additional assistance for the treatment of ACLF. ACLF related gene sets and oxidative stress-related genes (OSGs) were respectively downloaded from gene expression omnibus (GEO) database and GeneCards database for integrated bioinformatics analyses (functional enrichment, weighted gene co-expression network and immune cells infiltration). Immune-related differentially expressed oxidative stress-related genes (DEOSGs) in ACLF were used for construction of protein-protein interaction (PPI) network in which hub genes were screened out. Hub genes with consistently good diagnostic or prognostic value for ACLF in four gene sets were named as key genes. DEOSGs were significantly enriched in biological process and signaling pathways related to inflammation, immune response and oxidative stress. Six key genes (MPO, CCL5, ITGAM, TLR2, TLR4, and TIMP1) were identified and found to be highly correlated with immune response and metabolic process. This study deepened our understanding of the impact of oxidative stress on the pathogenesis and prognosis of ACLF and provided more insights into the prediction of prognosis and molecular targeted therapy in ACLF.

Evaluation of ITGB1 expression as a predictor of the therapeutic effects of immune checkpoint inhibitors in gastric cancer.

BACKGROUND: Gastric cancer (CC) is a disease with high incidence and mortality rate. Immunotherapy is an important method for gastric cancer while lack of effective predictor. Integrins play an important role in the development. We aimed to explore the predictive value of ß1 integrin (ITGB1) as a predictor of immunnotherapy in gastric cancer. METHODS: Differential expression analysis was conducted using the Gene Expression Profiling Interactive Analysis (GEPIA) 2.0 and GEO databases. GEPIA data were used to evaluate the prognostic value of ITGB1 in gastric cancer (GC). Transcriptomic and clinical data of GC and normal tissues were downloaded from The Cancer Genome Atlas database, and the TIMER database was used to evaluate the association between ITGB1 and immune infiltration. Time-dependent receiver operating characteristic (ROC) curve analysis was used to determine the prognostic value of ITGB1. To verify ITGB1 expression at the protein level, immunohistochemical staining was conducted. In addition, to analyze the correlation of ITGB1 with PD-1 and PD-L1, we examined levels of PD-1 and PD-L1 by IHC and determined the predictive value of ITGB1 for anti-PD-1 therapy in GC by ROC curve analysis. RESULTS: Compared with normal tissues, analysis of GEPIA and data at protein levels showed significantly higher expression of ITGB1 in GC. In addition, higher expression of ITGB1 was associated with worse pathological G-staging and tumor T-staging, which suggested that ITGB1 is a risk factor for poor prognosis in GC. The level of ITGB1 expression was positively correlated with CD8 + T cells, neutrophils, macrophages, and dendritic cells. ITGB1 expression was also correlated with PD-L1 expression, and this was further verified at the protein level by immunohistochemical analysis. The area under the ROC curve was 0.808. CONCLUSION: ITGB1 may be a promising prognostic biomarker and effective predictor for anti-PD-1 therapy in GC. TRIAL REGISTRATION: Retrospectively registered.

SERPINB5 is a novel serum diagnostic biomarker for gastric high-grade intraepithelial neoplasia and plays a role in regulation of macrophage phenotypes.

BACKGROUND: Gastric cancer (GC) develops from gastric precancerous lesions (GPL), and early diagnosis and treatment at the premalignant stage may achieve a higher benefit‒cost ratio with a reduced necessity for surgery. However, reliable noninvasive screening biomarkers of GPL are currently lacking. METHODS: The marker genes of GPL encoding extracellular proteins were identified by bioinformatics analysis and further verified by immunofluorescence and immunohistochemistry assays. Serum samples were collected to measure the levels of SERPINB5, the diagnostic efficacy of which was assessed by the area under the receiver operating characteristic (ROC) curve (AUC). Finally, the effect of SERPINB5 on the phenotypic conversion of macrophages was verified by public data and in vitro experiments. RESULTS: SERPINB5 was identified as an extracellular biomarker of GPL that had good diagnostic efficacy. High expression of SERPINB5 was observed in the epithelial cells and adjacent extracellular matrix on sections of gastric high-grade intraepithelial neoplasia (HGIN). Importantly, SERPINB5 determined in serum was significantly increased in the HGIN group, and the AUC for discriminating between HGIN and chronic gastritis or low-grade intraepithelial neoplasia was 0.9936 and 0.9750, respectively. Moreover, SERPINB5 expression was positively correlated with macrophage infiltration, and M1 marker NOS2 expression, but negatively correlated with M2 marker CSF1R expression. In THP-1-derived macrophages, SERPINB5 upregulated expression of M1-related cytokines TNF-α and IL-12, and M1 marker CD86, but suppressed production of M2-related cytokines TGF-ß and IL-10. CONCLUSIONS: Our study provides evidence that SERPINB5 may serve as a promising noninvasive serum biomarker for gastric HGIN screening and regulate macrophage phenotype conversion.

Transcription factor Krüppel-like factor 4 upregulated G protein-coupled receptor 30 alleviates intestinal inflammation and apoptosis, and protects intestinal integrity from intestinal ischemia-reperfusion injury.

INTRODUCTION: Intestinal ischemia/reperfusion (I/R) injury is a common clinical event occurring during multiple clinical pathological processes. Here, we designed this paper to discuss the role of G protein-coupled receptor 30 (GPR30) playing in intestinal I/R injury. METHODS: An oxygen-glucose deprivation/reoxygenation (OGD/R) cell model was established to simulate the pathological process of I/R injury. With the application of enzyme-linked immunosorbent assay, TUNEL, and transepithelial electrical resistance (TEER) assays, the levels of inflammatory cytokines, cell apoptosis, and intestinal integrity were estimated. The corresponding proteins were estimated by applying western blot. Immunofluorescence was conducted to examine N-terminal Gasdermin D (GSDMD-N) expression. The interplay between KLF4 and GPR30 was demonstrated by dual-luciferase reporter assay and chromatin immunoprecipitation. RESULTS: The results showed that GPR30 was downregulated in Caco-2 cells exposed to OGD/R. GPR30 overexpression reduced the production of TNF-α, IL-6, IL-1ß, and IL-18, the TUNEL-positive cells, as well as the contents of p-p65, Cox-2, Inos, Bax, and cleaved-PARP, but elevated the expression of Bcl-2 in OGD/R-induced Caco-2 cells. In addition, OGD/R-induced the reduction of TEER value and reduced expression of tight junction proteins in Caco-2 cells, which was partially restored by GPR30 overexpression. Furthermore, GPR30 suppressed nod-like receptor pyrin 3 inflammasome and GSDMD-N expression. It was evidenced that Krüppel-like factor 4 (KLF4) could directly bind to GPR30 promoter and positively regulate GPR30 expression. The regulation of GPR30 overexpression above was weakened by KLF4 knockdown. CONCLUSION: Collectively, our findings suggested that KLF4 could transcriptionally upregulate GPR30, and GPR30 prevented intestine I/R injury by inhibiting inflammation and apoptosis, and maintaining intestinal integrity that provides potential targets for mitigating the I/R injury.

Risk stratification based on acute-on-chronic liver failure in cirrhotic patients hospitalized for acute variceal bleeding.

BACKGROUND AND AIMS: Acute variceal bleeding (AVB) is a life-threatening complication of cirrhosis. Acute-on-chronic liver failure (ACLF) is a syndrome characterized by acute decompensation of cirrhosis, multiple organ failures and high short-term mortality. This study aimed to evaluate the role of ACLF in the risk stratification of cirrhotic patients with AVB. METHODS: Prospective data of 335 cirrhotic patients hospitalized for AVB were retrospectively extracted from Medical Information Mart for Intensive Care (MIMIC)-IV database. ACLF was defined by European Association for the Study of Liver-Chronic Liver Failure Consortium and diagnosed/graded with chronic liver failure-organ failure (CLIF-OF) score. Cox-proportional hazards regression analysis was performed to identify the risk factors for 6-week morality in AVB patients. Discrimination and calibration of prognostic scores were evaluated by plotting the receiver operating characteristics (ROC) curve and calibration curve, respectively. Overall performance was assessed by calculating the Brier score and R2 value. RESULTS: A total of 181 (54.0%) patients were diagnosed with ACLF (grade 1: 18.2%, grade 2: 33.7%, grade 3: 48.1%) at admission. The 6-week mortality in patients with ACLF was significantly higher than that in patients without ACLF (43.6% vs. 8.4%, P < 0.001) and increased in line with the severity of ACLF (22.5%, 34.2% and 63.8% for ACLF grade 1, 2 and 3, P < 0.001). In multivariate analysis, presence of ACLF remained as an independent risk factor for 6-week mortality after adjusting for confounding factors (HR = 2.12, P = 0.03). The discrimination, calibration and overall performance of CLIF-C ACLF and CLIF-C AD were superior to the traditional prognostic scores (CTP, MELD and MELD-Na) in the prediction of 6-week mortality of patients with and without ACLF, respectively. CONCLUSION: The prognosis of cirrhotic patients with AVB is poor when accompanied by ACLF. ACLF at admission is an independent predictor for the 6-week mortality in cirrhotic patients with AVB. CLIF-C ACLF and CLIF-C AD are the best prognostic scores in AVB patients with and without ACLF, respectively, and can be used for the risk stratification of these two distinct entities.

External validation of Chronic Liver Failure-Consortium Acute Decompensation score in the risk stratification of cirrhotic patients hospitalized with acute variceal bleeding.

BACKGROUND AND OBJECTIVE: Acute variceal bleeding (AVB) is a serious life-threatening complication of cirrhosis. This study aimed to validate the predictive value of Chronic Liver Failure-Consortium Acute Decompensation score (CLIF-C ADs) in the risk stratification of cirrhotic patients hospitalized with AVB. METHODS: A total of 235 cirrhotic patients with AVB and without acute-on-chronic liver failure (ACLF) were retrospectively enrolled. The discrimination, calibration, overall performance and clinical utility of CLIF-C AD were evaluated and compared with traditional prognostic scores. RESULTS: The area under the receiver operating characteristics curve of CLIF-C AD was significantly or numerically higher than that of Child-Turcotte-Pugh (CTP) (0.871 vs. 0.737, P = 0.03), Model for End-stage Liver Disease (MELD) (0.871 vs. 0.757, P = 0.1) and MELD-Sodium (MELD-Na) (0.871 vs. 0.822, P = 0.45). The calibration of CLIF-C AD was excellent and superior to that of CTP, MELD and MELD-Na. The brier score/ R2 value for CLIF-C AD, CTP, MELD and MELD-Na were 0.045/0.278, 0.051/0.090, 0.050/0.123 and 0.046/0.207, respectively, suggesting a superior overall performance of CLIF-C AD to traditional scores. In decision curve analysis, the standardized net benefit of CLIF-C AD was higher to that of traditional scores. Patients with CLIF-C ADs ≤48, 49-59 and ≥60 were, respectively, stratified into low, moderate and high-risk groups (6-week mortality: 2.7% vs. 12.5% vs. 37.5%, P < 0.001). CONCLUSION: The prediction performance and clinical utility of CLIF-C AD for 6-week mortality in cirrhotic patients with AVB and without ACLF are excellent and superior to traditional prognostic scores. The new risk stratification with CLIF-C ADs may be useful in guiding rational management of AVB.

Neoadjuvant PD-1 inhibitor and apatinib combined with S-1 plus oxaliplatin for locally advanced gastric cancer patients: a multicentered, prospective, cohort study.

PURPOSE: Programmed cell death protein 1 (PD-1) inhibitor and apatinib have been utilized in metastatic gastric cancer patients. The current study aimed to further investigate the efficacy and safety of neoadjuvant S-1 plus oxaliplatin combined with PD-1 inhibitor and apatinib (SOXPA) in locally advanced gastric cancer (LAGC) patients. METHODS: This two-centered, prospective, cohort study analyzed 30 resectable LAGC patients receiving SOXPA as neoadjuvant therapy. RESULTS: Two (6.7%), 18 (60.0%), and 10 (33.3%) patients achieved complete response (CR), partial response (PR), and stable disease (SD), separately. The objective response rate (ORR) and disease control rate (DCR) were 66.7% and 100.0%, respectively. The R0 resection rate was 93.3%. Beyond that, 6 (20.0%), 18 (60.0%), and 6 (20.0%) patients achieved grade 1, 2, and 3 pathological responses. The pathological complete response (pCR) rate was 20%. The 1-year and 2-year disease-free survival (DFS) rates were 96.6% and 77.7% respectively; meanwhile, the 1-year and 2-year overall survival (OS) rates were 96.6% and 90.1%, separately. What's more, better clinical response (P = 0.046); achievement of ORR (P = 0.014), and better pathological response (P = 0.020) were correlated with longer DFS. Besides, ORR achievement was linked with longer OS (P = 0.040). Most adverse events were relatively mild and manageable. Grade 3 adverse events included leukopenia, anemia, neutropenia, fatigue, hand-foot syndrome, nausea and vomiting. No grade 4 adverse events were witnessed. CONCLUSION: SOXPA as neoadjuvant therapy achieves a satisfying clinical response, pathological response, survival profile, and tolerable safety in LAGC patients.

Superselective arterial microcoil embolization for delayed bleeding after peroral endoscopic myotomy.

Peroral endoscopic myotomy (POEM) has been shown to be an effective treatment for achalasia and with few adverse events. Only a few cases of delayed bleeding have been described. This current case report describes a patient with delayed bleeding in the submucosal tunnel on the eighth day after POEM. The patient was a 21-year-old woman with a 4-month history of dysphagia, vomiting and excessive weight loss. Achalasia was diagnosed according to her symptoms, barium oesophagogram, oesophageal manometry and endoscopy examination. POEM was performed by an experienced operator. On the eighth day after POEM, the patient suddenly developed continuous haematemesis presented with vomiting of fresh blood and melena. An emergency exploratory esophagogastroduodenoscopy was performed. A large number of blood clots were found at the wound and a long haematoma was found along the lining of the submucosal tunnel. Re-entry into the submucosal tunnel and exposure of the haemorrhagic site was attempted but failed because of severe submucosal tissue adhesion. An emergency angiography was undertaken and haemostasis was achieved with superselective arterial microcoil embolization.

piR-823 inhibits cell apoptosis via modulating mitophagy by binding to PINK1 in colorectal cancer.

Mitophagy plays a vital role in the maintenance of mitochondrial homeostasis and tumorigenesis. Noncoding RNA piR-823 contributes to colorectal tumorigenesis. In this study, we aim to evaluate piR-823-mediated mitophagy and its mechanistic association with colorectal cancer (CRC). Digital gene expression analysis was performed to explore the potential functions of piR-823. A piR-823 antagomir (Ant-823) was used to inhibit piR-823 expression, and piR-823 mimics (mimics-823) were used to increase piR-823 expression. Mitophagy was measured in vivo and in vitro by immunofluorescence and western blot analysis. JC-1 staining, ATP production, real-time PCR, and western blot analysis were used to measure changes in mitochondrial quality and number. siRNA transfection was used to inhibit mitophagy, and CCCP was used to induce mitophagy. RNA pull-down assays and RNA-binding protein immunoprecipitation assays were conducted to investigate the molecular mechanisms. Here, we found that CRC cells transfected with Ant-823 presented an altered expression of autophagic and mitophagy genes by Digital gene expression analysis. Ant-823 could promote Parkin activation and mitophagy in vitro and in vivo, followed by mitochondrial loss and dysfunction of some mitochondria, whereas mimics-823 exerted the opposite effects in CRC cells. The inhibition of mitophagy by siParkin alleviated Ant-823-induced mitochondrial loss and dysfunction, as well as apoptosis to a certain extent. Furthermore, piR-823 was found to interact with PINK1 and promote its ubiquitination and proteasome-dependent degradation, thus alleviating mitophagy. Finally, these findings were verifed in samples obtained by patients affected by colorectal cancer. In conclusion, we identify a novel mechanism by which piR-823 regulates mitophagy during CRC tumorigenesis by increasing PINK1 degradation.

A retrospective cohort study of intensive gastric variceal ligation versus endoscopic gastric variceal obturation in the management of gastric variceal bleeding.

BACKGROUND: Gastric variceal bleeding is often more serious and can be fatal. Currently, international consensus recommendations for the treatment of gastric variceal bleeding vary according to endoscopic classification. Few studies have investigated ligation versus gastric variceal obturation (GVO) for the treatment of gastric varices. METHODS: The study included 79 patients with cirrhosis-induced bleeding from esophageal and fundal varices who were treated at the Second Hospital of Hebei Medical University between January 2016 and December 2020 and who met the inclusion criteria. Among them, 42 patients were included in the intensive gastric varices ligation (IGVL) group, and 37 were included in the GVO group. We conducted a retrospective cohort study to analyze the effectiveness and safety of these 2 treatments. RESULTS: The rebleeding rate after initial treatment was significantly lower in the IGVL group than in the GVO group (23.8% vs. 48.6%, P<0.05). No significant between-group difference was observed in overall mortality (14.3% vs. 32.4%), 6-week mortality (0.0% vs. 2.7%), or 1-year mortality (11.9% vs. 13.5%, all P>0.05). The >1-year mortality and bleeding-related mortality rates were significantly higher in the GVO group than in the IGVL group (23.3% vs. 2.7%, P<0.05; 27.0% vs. 9.5%, P<0.05). The incidence of adverse events was 57.1% in the IGVL group and 48.6% in the GVO group, with no significant difference (P>0.05). Independent predictors for rebleeding after initial treatment were the use of GVO as endoscopic treatment, total bilirubin >17.1 µmol/L, liver cancer, and diabetes. For mortality, the independent predictors were male sex, liver cancer, ascites, and rebleeding after initial treatment. CONCLUSIONS: Rebleeding after initial treatment was lower after IGVL than GVO. Independent predictors for rebleeding after initial treatment were endoscopic treatment method, total bilirubin >17.1 µmol/L, liver cancer, and diabetes. For mortality, the independent predictors were male sex, liver cancer, ascites, and rebleeding after initial treatment.

Identification and validation of EMT-immune-related prognostic biomarkers CDKN2A, CMTM8 and ILK in colon cancer.

Colon cancer (CC) is a disease with high incidence and mortality rate. The interaction between epithelial-mesenchymal transition (EMT) and immune status has important clinical significance. We aim to identify EMT-immune-related prognostic biomarkers in colon cancer. The GEO2R and GEPIA 2.0 were utilized to calculate the differential expression genes between CC and normal mucosa. Immport, InnateDB and EMTome databases were used to define EMT-immune-related genes. We conducted batch prognostic analysis by TCGA data. The expression patterns were verified by multiple datasets and lab experiments. GEPIA 2.0 and TIMER 2.0 were utilized to analyze the correlation of the hub genes with EMT markers and immune infiltration. GeneMANIA, STRING, and Metascape were used for co-expression and pathway enrichment analysis. Finally, we established a signature by the method of multivariate Cox regression analysis. CDKN2A, CMTM8 and ILK were filtered out as prognostic genes. CDKN2A and CMTM8 were up-regulated, while ILK was down-regulated in CC. CDKN2A was positively correlated with infiltration of macrophages, Th2 cells, Treg cells, and negatively correlated with NK cells. CMTM8 was negatively correlated with CD8+ T cells, dendritic cells, and NK cells. ILK was positively correlated with CD8+ T cells and dendritic cells. Moreover, CDKN2A, CMTM8 and ILK were significantly correlated with EMT markers. The three genes could participate in the TGF-ß pathway. The prognosis model established by the three hub genes was an independent prognosis factor, which can better predict the prognosis. CDKN2A, CMTM8 and ILK are promising prognostic biomarkers and may be potential therapeutic targets in colon cancer.

Establishment of a 7-microRNA prognostic signature and identification of hub target genes in colorectal carcinoma.

Background: Colorectal cancer (CRC) is a malignant tumor with high morbidity and mortality, but there is still no recognized prognostic prediction model to better predict and intervene its prognosis. Our aim is to establish a novel microRNA (miRNA) signature and identify hub target genes for simply and accurately predicting survival risk for CRC patients and to provide therapeutic targets. Methods: The miRNA expression profiles along with clinical data of 512 CRC patients were downloaded from the Cancer Genome Atlas (TCGA) database and randomly divided into training set and validation set. The signature was generated from the training set after a series of Cox regression analyses, including least absolute shrinkage and selectionator operator (LASSO)-Cox regression, and verified in the test set and the whole set. Furthermore, the signature was compared with clinical risk factors. Interaction network of target genes of the seven micoRNAs was established. Functional enrichment analysis was performed to reveal the biological processes and pathways. GEPIA2 was used for prognostic analysis. Results: A 7-micoRNA prognostic signature was generated from the training set with the areas under the receiver operating characteristic (ROC) curve (AUC) of 5-year survival rate was 0.889. Its performance was well verified both in the test set and the entire set by Kaplan-Meier analysis (P value <0.05). Further analysis demonstrated that the signature was an independent prognostic risk factor for CRC patients and its predictive ability was superior to age and tumor-node-metastasis (TNM) stage. Interaction network found two major gene modules, and they might be involved in the activation of PI3K-Akt-mTOR and p53 signaling pathways, which related to epidermal growth factor receptor (EGFR) resistance. The GEPIA2 revealed that CDKN1A, eIF4E and SNAI1 were associated with CRC prognosis. Conclusions: Our study demonstrated the potential of this novel 7-micoRNA signature to independently predict overall survival in patients with CRC and provided potential therapeutic targets.

REC8 enhances stemness and promotes metastasis of colorectal cancer through BTK/Akt/ß-catenin signaling pathway.

Cancer/testis antigens (CTAs) are often aberrantly expressed in cancer stem cells (CSCs) which are responsible for tumor metastasis. Rec8 meiotic recombination protein (REC8), a member of CTAs, shares distinct roles in various cancers, while its contribution to CSCs and colorectal cancer (CRC) remains unclear. We found that overexpression of REC8 facilitated the migration and invasion of CRC cells (DLD-1 and SW480 cells) in vitro and promoted the liver metastasis of CRC in vivo. Moreover, REC8 is highly expressed in CRC stem-like cells and is required for the maintenance of CSC stemness. Mechanistic studies suggested that REC8 mediated through the activation of Bruton tyrosine kinase (BTK). Inhibition of BTK by ibrutinib not only suppressed the migration and invasion-promoting ability, but also declined the increased expression of p-BTK, p-Akt, ß-catenin, and CSC markers upon REC8 overexpression. Importantly, high expression of REC8 in cancerous tissues was related to advanced clinical stage and lymph node metastasis of 62 CRC patients, and REC8 was enriched in the cancerous cells positive for CSC markers. Collectively, our results indicate that REC8 promotes CRC metastasis by increasing cell stemness through BTK/Akt/ß-catenin pathway.

Double plastic stent implantation for recurrent acute pancreatitis with incomplete pancreas divisum: a case report and literature review.

Pancreas divisum (PD) is a common pancreatic malformation caused by the failure of fusion between ventral and dorsal pancreatic ducts. There is a small branch of communication between the two systems in incomplete PD, and this variation has an incidence of 15%. A 43-year-old female patient presented to our department with recurrent abdominal pain. Magnetic resonance cholangiopancreatography (MRCP) showed that the ventral pancreatic duct was curved, with a local pouchlike dilatation. Endoscopic ultrasonography supported the diagnosis of incomplete PD and showed a thin branch of communication between ventral and dorsal pancreatic ducts. Endoscopic retrograde cholangiopancreatography (ERCP) and papillotomy of the minor papilla with double plastic stent implantation were performed. One pancreatic plastic stent was inserted across the minor and major papilla over the guide wire, creating a U-shape. The other wire-guided plastic stent was inserted through the minor papilla into the dorsal pancreatic duct. The pancreatic fluid drained smoothly after stent placement. During the 6-month follow-up, the patient remained well, without recurrence of pancreatitis.

Soluble TREM-1, as a new ligand for the membrane receptor Robo2, promotes hepatic stellate cells activation and liver fibrosis.

Triggering receptor expressed on myeloid cells-1 (TREM-1) exists in two forms: a transmembrane form and a soluble form (sTREM-1). The levels of sTREM-1 are elevated in supernatants of activated HSCs. However, the role of sTREM-1 in HSC activation and liver fibrosis remains undefined. Previous studies have primarily focused on the transmembrane form of TREM-1; we innovatively observed the function of sTREM-1 as a ligand in liver fibrosis and screened its receptor. Here, recombinant sTREM-1 was used as a stimulator which induced HSC activation and further aggravated liver fibrosis. Then, screening for sTREM-1 interacting membrane receptors was performed using pull-down assay followed by mass spectrometry, and the membrane receptor roundabout guidance receptor 2 (Robo2) was identified as a candidate receptor for sTREM-1. The interaction between sTREM-1 and Robo2 was verified by pull-down and immunofluorescence. The role of Robo2 on sTREM-1-induced HSC activation and its downstream signal pathways was assessed by knockdown of Robo2 in LX-2 cells. Furthermore, HSC-specific knockdown of Robo2 was achieved in a mouse model of liver fibrosis by using a recombinant adeno-associated virus (AAV) vector to confirm the role of the receptor, and we proved that Robo2 knockdown inhibited the activation of HSC and liver fibrosis, which also led to the inactivation of Smad2/3 and PI3K/Akt pathways in sTREM-1-induced HSC activation and liver fibrosis. In conclusion, sTREM-1 acts as a new ligand of Robo2; the binding of sTREM-1 to Robo2 initiates the activation of the downstream Smad2/3 and PI3K/Akt signalling pathways, thereby promoting HSC activation and liver fibrosis.

Establishment and validation of a computer-assisted colonic polyp localization system based on deep learning.

BACKGROUND: Artificial intelligence in colonoscopy is an emerging field, and its application may help colonoscopists improve inspection quality and reduce the rate of missed polyps and adenomas. Several deep learning-based computer-assisted detection (CADe) techniques were established from small single-center datasets, and unrepresentative learning materials might confine their application and generalization in wide practice. Although CADes have been reported to identify polyps in colonoscopic images and videos in real time, their diagnostic performance deserves to be further validated in clinical practice. AIM: To train and test a CADe based on multicenter high-quality images of polyps and preliminarily validate it in clinical colonoscopies. METHODS: With high-quality screening and labeling from 55 qualified colonoscopists, a dataset consisting of over 71000 images from 20 centers was used to train and test a deep learning-based CADe. In addition, the real-time diagnostic performance of CADe was tested frame by frame in 47 unaltered full-ranged videos that contained 86 histologically confirmed polyps. Finally, we conducted a self-controlled observational study to validate the diagnostic performance of CADe in real-world colonoscopy with the main outcome measure of polyps per colonoscopy in Changhai Hospital. RESULTS: The CADe was able to identify polyps in the test dataset with 95.0% sensitivity and 99.1% specificity. For colonoscopy videos, all 86 polyps were detected with 92.2% sensitivity and 93.6% specificity in frame-by-frame analysis. In the prospective validation, the sensitivity of CAD in identifying polyps was 98.4% (185/188). Folds, reflections of light and fecal fluid were the main causes of false positives in both the test dataset and clinical colonoscopies. Colonoscopists can detect more polyps (0.90 vs 0.82, P < 0.001) and adenomas (0.32 vs 0.30, P = 0.045) with the aid of CADe, particularly polyps < 5 mm and flat polyps (0.65 vs 0.57, P < 0.001; 0.74 vs 0.67, P = 0.001, respectively). However, high efficacy is not realized in colonoscopies with inadequate bowel preparation and withdrawal time (P = 0.32; P = 0.16, respectively). CONCLUSION: CADe is feasible in the clinical setting and might help endoscopists detect more polyps and adenomas, and further confirmation is warranted.