Role of CENPF and NDC80 in the rehabilitation nursing of hepatocellular carcinoma and cirrhosis: An observational study.

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors globally and often develops on the foundation of chronic liver disease or cirrhosis. Cirrhosis is a clinically prevalent chronic progressive liver disease characterized by diffuse liver damage resulting from long-term or repeated actions of 1 or more etiological factors. However, the impact of CENPF and nuclear division cycle 80 (NDC80) genes on rehabilitation nursing of HCC and cirrhosis remains unclear. HCC and cirrhosis datasets GSE63898 and GSE89377 profile files were downloaded from the gene expression omnibus database generated on platforms GPL13667 and GPL6947, respectively. Differentially expressed genes (DEGs) screening, weighted gene co-expression network analysis (WGCNA), construction and analysis of protein-protein interaction (PPI) networks, functional enrichment analysis, gene set enrichment analysis (GSEA), survival analysis, immune infiltration analysis, and comparative toxicogenomics database (CTD) analysis were conducted. Gene expression heatmaps were plotted. miRNAs regulating central DEGs were selected through TargetScan. A total of 626 DEGs were identified. According to gene ontology (GO) analysis, they were primarily enriched in small molecule metabolic processes, drug metabolic processes, binding of identical proteins, and lipid metabolic processes. Kyoto Encyclopedia of Gene and Genome (KEGG) analysis results indicated that the target genes were mainly enriched in metabolic pathways, phagosomes, glycine, serine, and threonine metabolism. The construction and analysis of the PPI network revealed 3 core genes (NDC80, CENPF, RRM2). Gene expression heatmaps showed that core genes (CENPF, NDC80) were highly expressed in HCC and cirrhosis samples. CTD analysis found that 2 genes (CENPF and NDC80) were associated with liver, jaundice, ascites, fever, dyspepsia, and hepatic encephalopathy. CENPF and NDC80 are highly expressed in HCC and cirrhosis, and CENPF and NDC80 might be the biomarkers of rehabilitation nursing of HCC and cirrhosis.

MYC and NCAPG2 as molecular targets of colorectal cancer and gastric cancer in nursing.

Colorectal cancer is a common malignant tumor in intestinal tract, the early symptoms are not obvious. Gastric cancer is a malignant tumor originating from the gastric mucosal epithelium. However, the role of MYC and non-SMC condensin II complex subunit G2 (NCAPG2) in colorectal cancer and gastric cancer remains unclear. The colorectal cancer datasets GSE49355 and gastric cancer datasets GSE19826 were downloaded from gene expression omnibus database. Differentially expressed genes (DEGs) were screened and weighted gene co-expression network analysis (WGCNA) was performed. Functional enrichment analysis, gene set enrichment analysis (GSEA) and immune infiltration analysis was performed. Construction and analysis of protein-protein interactions (PPI) network. Survival analysis and comparative toxicogenomics database (CTD) were performed. A heat map of gene expression was drawn. A total of 751 DEGs were obtained. According to the gene ontology (GO) analysis, in Biological process (BP) analysis, they are mainly enriched in cell differentiation, cartilage development, and skeletal development. In cellular component (CC) analysis, they are mainly enriched in the cytoskeleton of muscle cells and actin filaments. In molecular function (MF) analysis, they are mainly concentrated in Rho GTPase binding, DNA binding, and fibronectin binding. In Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis, they are mainly enriched in the MAPK signaling pathway, apoptosis, and cancer pathways. The soft threshold power for WGCNA analysis was set to 9, resulting in the generation of 40 modules. Ultimately, 2 core genes (MYC and NCAPG2) were identified. The heatmap of core gene expression showed high expression of MYC and NCAPG2 in colorectal cancer tissue samples and low expression in normal tissue samples, while they were core molecules in gastric cancer. Survival analysis indicated that MYC and NCAPG2 were risk factors, showing an upregulation trend with increasing risk scores. CTD analysis revealed associations of MYC and NCAPG2 with colorectal cancer, gastric cancer, inflammation, and immune system diseases. MYC and NCAPG2 are highly expressed in colorectal cancer. The higher the expression of MYC and NCAPG2, the worse the prognosis. MYC and NCAPG2 are core molecules in gastric cancer.

Overexpression of ZNF169 promotes the growth and proliferation of colorectal cancer cells via the upregulation of ANKZF1.

Colorectal cancer (CRC) is one of the most common malignancies worldwide. The 5­year survival rate of patients diagnosed with the early stages of the disease is markedly higher than that of patients in the advanced stages. Therefore, identifying novel biomarkers and drug targets for CRC is critical for clinical practice. Zinc finger protein 169 (ZNF169) is a crucial transcription factor, and its role in CRC remains to be explored. The present study aimed to investigate the clinical relevance, function and underlying mechanisms of ZNF169 in CRC growth and proliferation. The Cancer Genome Atlas (TCGA) database was utilized to analyze the clinical relevance of ZNF169 in patients with CRC. Immunohistochemical staining was performed on tissue samples from patients with CRC to detect the expression of ZNF169. The HCT­116, HT­29 and RKO cell lines were employed for in vitro experiments. The overexpression and knockdown of ZNF169 were achieved by transfecting the cells with lentivirus and small interfering RNAs, respectively. Cell Counting Kit­8, colony formation and EdU staining assays were applied to investigate the function of ZNF169 in CRC cells. Dual luciferase activity and chromatin immunoprecipitation (ChIP)­quantitative PCR (qPCR) assays were performed to identify the regulatory effects of ZNF169 on the ankyrin repeat and zinc­finger domain­containing 1 (ANKZF1; also known as ZNF744) gene. Reverse transcription­quantitative PCR and western blot analysis were performed to measure mRNA and protein expression, respectively. The analysis of TCGA data revealed a positive correlation between ZNF169 and ANKZF1, with the overexpression of ANKZF1 being associated with a poor prognosis of patients with CRC. The experimental results demonstrated that ZNF169 was expression upregulated in CRC tissue compared with that in normal colon tissue. Gain­of­function and loss­of­function experiments revealed that ZNF169 enhanced the intensity of EdU staining, promoting the growth and proliferation of CRC cells. Furthermore, the overexpression of ZNF169 potentiated the transcriptional activity of the ANKZF1 gene, while the knockdown of ZNF169 produced the opposite results. ChIP­qPCR confirmed the interaction between ZNF169 and the promoter sequence of ANKZF1. Rescue experiments revealed that ZNF169 accelerated CRC cell growth and proliferation through the upregulation of ANKZF1. Furthermore, there was a positive correlation identified between ZNF169 and ANKZF1, and upregulation of ANKZF1 expression was associated with the poor prognosis of patients with CRC. On the whole, the present study demonstrates that ZNF169 contributes to CRC malignancy by potentiating the expression of ANKZF1. Thus, the regulation of ZNF169 and/or ANKZF1 expression may represent a viable strategy for the treatment patients with CRC with a high expression of ZNF169.

Complementary biomarkers of computed tomography for diagnostic grading of gastric cancer: DSCC1 and GINS1.

OBJECTIVE: Computed tomography (CT) is an important tool for grading gastric cancer. Gastric cancer typically originates from epithelial cells of gastric mucosa. However, complementary markers for gastric cancer, relationship between DSCC1, GINS1 and gastric cancer remain unclear. METHODS: Gastric cancer data were obtained from gene expression omnibus (GEO). Differentially expressed genes (DEGs) were identified, weighted gene co-expression network analysis (WGCNA) was conducted. Protein-protein interaction (PPI) network was constructed and analyzed. Functional enrichment analysis, gene set enrichment analysis (GSEA), gene expression heatmaps, immune infiltration analysis were performed. The most relevant diseases related to core genes were identified using Comparative Toxicogenomics Database (CTD). TargetScan was used to screen miRNAs. Validation was carried out using Western blotting (WB) and reverse transcription-polymerase chain reaction (RT-PCR). RESULTS: 1243 DEGs were identified. Gene ontology (GO) and Kyoto Encyclopedia of Gene and Genome (KEGG) analyses revealed significant enrichment in cell cycle regulation, macrophage migration control, basement membrane, extracellular regions, growth factor binding, protein complex binding, P53 signaling pathway, protein digestion and absorption, metabolic pathways. Immune infiltration analysis indicated that high expression of activated Mast cells and Neutrophils, with a strong positive correlation between them, may influence progression of gastric cancer. CTD analysis revealed associations between DSCC1, GINS1 and gastric tumors, gastrointestinal diseases, tumors, gastritis, inflammation, necrosis. WB and RT-PCR results demonstrated high expression of DSCC1 and GINS1 in gastric cancer. CONCLUSION: The expressions of DSCC1 and GINS1 are up-regulated in gastric cancer, which can be used as supplementary markers for CT diagnostic grading of gastric cancer.

Role of PAX6, TRPA1, BCL11B, MCOLN2, CUX1, EMX1 in colorectal cancer and osteosarcoma.

Colorectal cancer is a cancer that arises from the abnormal growth of cells in the colon or rectum. Osteosarcoma (OS) is a common primary bone tumor with high degree of malignancy. The configuration files for colorectal cancer dataset GSE142279 and OS datasets GSE197158 and GSE206448 were downloaded from Gene Expression Omnibus database using the platforms GPL20795, GPL20301, and GPL24676. Differentially expressed genes (DEGs) were screened and weighted gene co-expression network analysis (WGCNA) was performed. Construction and analysis of protein-protein interactions (PPI) network. Functional enrichment analysis, gene set enrichment analysis (GSEA) were performed. A heat map of gene expression was drawn. The Comparative Toxicogenomics Database (CTD) was used to find the diseases most associated with the core genes. TargetScan was used to screen miRNAs regulating DEGs. According to the Gene Ontology (GO) analysis, DEGs are mainly enriched in acetylcholine binding receptor activity involved in Wnt signaling pathway, cell polarity pathway, PI3K-Akt signaling pathway, receptor regulator activity, cytokine-cytokine receptor interaction, transcriptional misregulation in cancer, and inflammation-mediated regulation of tryptophan transport. In the Metascape enrichment analysis, GO enrichment items related to the regulation of Wnt signaling pathway, regulation of muscle system process, and regulation of actin filament-based movement. Eight core genes (CUX1, NES, BCL11B, PAX6, EMX1, MCOLN2, TRPA1, TRPC4) were identified. CTD showed that 4 genes (CUX1, EMX1, TRPA1, BCL11B) were associated with colorectal neoplasms, colorectal tumors, colonic diseases, multiple myeloma, OS, and inflammation. PAX6, TRPA1, BCL11B, MCOLN2, CUX1, and EMX1 are highly expressed in colorectal cancer and OS, and the higher the expression level, the worse the prognosis.

Analysis of factors related to thrombosis in patients with PICC placements.

This study aimed to investigate the conditions of patients with peripherally inserted central catheter (PICC) placements, analyze the risk factors influencing thrombosis in PICC-placed patients, and formulate more accurate and effective PICC management strategies. A total of 147 patients undergoing PICC placements were selected as the study subjects. Clinical data were collected, and the patients were divided into thrombosis and non-thrombosis groups. Detect levels of bilirubin, white blood cells, venous pressure, heparin concentration, blood flow, citric acid, and platelets. Pearson chi-square test, Spearman correlation analysis, as well as univariate and multivariate logistic regression were employed to analyze independent risk factors. Among the 147 patients with PICC placements, there were 84 males and 63 females. Thrombosis occurred in 116 cases, with an incidence rate of 78.91%. Pearson chi-square test showed a significant correlation between citric acid, blood flow, platelets and frailty (P < .001) with thrombosis formation. Spearman correlation analysis revealed a significant correlation between citric acid (ρ = -0.636, P < .001), blood flow (ρ = 0.584, P < .001), platelet count (ρ = 0.440, P < .001), frailty (ρ = -0.809, P < .001) and thrombosis in PICC placement patients. Univariate logistic regression analysis indicated a significant correlation between thrombosis formation and citric acid (OR = 0.022, 95% CI = 0.006-0.08, P < .001), blood flow (OR = 33.973, 95% CI = 9.538-121.005, P < .001), platelet count (OR = 22.065, 95% CI = 5.021-96.970, P < .001), frailty (OR = 0.003, 95% CI = 0.001-0.025, P < .001). Multivariate logistic regression analysis also showed a significant correlation between thrombosis formation and citric acid (OR = 0.013, 95% CI = 0.002-0.086, P < .001), blood flow (OR = 35.064, 95% CI = 6.385-192.561, P < .001), platelet count (OR = 4.667, 95% CI = 0.902-24.143, P < .001), frailty (OR = 0.006, 95% CI = 0.001-0.051, P < .001). However, gender (OR = 0.544, 95% CI = 0.113-2.612, P = .447), age (OR = 4.178, 95% CI = 0.859-20.317, P = .076), bilirubin (OR = 2.594, 95% CI = 0.586-11.482, P = .209), white blood cells (OR = 0.573, 95% CI = 0.108-3.029, P = .512), venous pressure (OR = 0.559, 95% CI = 0.129-2.429, P = .438), and heparin concentration (OR = 2.660, 95% CI = 0.333-21.264, P = .356) showed no significant correlation with thrombosis formation. Patients with PICC placements have a higher risk of thrombosis, citric acid, blood flow, platelet count and frailty are the main risk factors.

TYROBP as a molecular target in cholangiocarcinoma, renal cancer and abdominal aortic aneurysm.

Cholangiocarcinoma occurs when there is a malignant tumor in the bile duct system. Renal cancer originates from renal tubular epithelial cells. Abdominal aortic aneurysm (AAA) is a permanently localized dilation caused by a lesion or injury to abdominal aortic wall. However, the relationship between TYROBP and cholangiocarcinoma, renal cancer and AAA remains unclear. The profiles of cholangiocarcinoma dataset GSE107943, renal cell carcinoma dataset GSE213324, and AAA dataset GSE47472 were downloaded from the GEO database using the platforms GPL18573, GPL24676, and GPL10558. DEGs were screened, WGCNA was performed as well as construction and analysis of PPI network. Functional enrichment analysis, GSEA, heat map of gene expression, survival analysis, and immune infiltration analysis were performed. The most relevant diseases to core genes were found by CTD. The GSE107943 dataset identified 3383 DEGs for cholangiocarcinoma, GSE47472 identified 95 DEGs for abdominal aortic aneurysm, and GSE213324 identified 10245 DEGs for renal cell carcinoma. For the GSE107943 cholangiocarcinoma dataset, GO analysis revealed enrichment in immune response, cell adhesion, extracellular space, and oxidoreductase activity. KEGG analysis indicated enrichment in metabolic pathways, the PI3K-Akt signaling pathway, cell apoptosis, the cell cycle, and the NF-kappa B signaling pathway. In the GSE47472 AAA dataset, GO analysis showed enrichment in neuroblast differentiation, cardiac muscle myofilament complex, and alkaline binding. KEGG analysis indicated enrichment in mRNA surveillance pathway and purine metabolism. In the GSE213324 renal cell carcinoma dataset, GO analysis indicated enrichment in immune system processes, cell adhesion, and membrane parts. KEGG analysis showed enrichment in cytokine-cytokine receptor interaction, calcium signaling pathway, and hematopoietic cell lineage. Furthermore, for cholangiocarcinoma (GSE107943), enriched terms associated with DEGs were in metabolic pathways, cell apoptosis, and the cell cycle. For AAA (GSE47472), enriched terms were in alkaline binding and cellular redox homeostasis. For renal cell carcinoma (GSE213324), enriched terms were in biological adhesion, regulation of immune system processes, and cell surface. Common core genes (ADH6, AGXT, CYP3A43, TYROBP) were identified for cholangiocarcinoma, renal cell carcinoma, and AAA. ADH6 and TYROBP were associated with cholangiocarcinoma, AAA, renal tumors, kidney diseases, atherosclerosis, and inflammation. TYROBP is abnormally expressed in cholangiocarcinoma, renal cancer and abdominal aortic aneurysm.

Joint effect of RRP9 and DDX21 on development of colorectal cancer and keloid.

BACKGROUND: Colorectal cancer (CRC) is a common malignancy in the gastrointestinal tract. Keloid refers to abnormal scar tissue that forms on the skin or mucous membrane. The relationship between RRP9 and DDX21 and the two diseases is unclear. METHODS: Download the colorectal cancer dataset GSE134834, GSE206800, GSE209892 and keloid dataset GSE44270 from the GEO database. Differentially expressed genes (DEGs) were screened and weighted gene co-expression network analysis (WGCNA) was performed. The construction and analysis of protein-protein interaction (PPI) network, functional enrichment analysis, gene set enrichment analysis (GSEA). Gene expression heat map was drawn. The comparative toxicogenomics database (CTD) analysis was performed to find diseases most related to core genes. TargetScan screened miRNAs that regulated central DEGs. We conducted experimental validation using Western blotting and Polymerase Chain Reaction (PCR). RESULTS: In the colorectal cancer dataset and the scar tissue dataset, we identified 1380 DEGs and 1000 DEGs, respectively. The enrichment pattern for scar tissue was similar to that of colorectal cancer. We identified two core genes, RRP9 and DDX21. CTD analysis indicated that RRP9 and DDX21 are associated with proliferation, scar tissue, colorectal tumors, scleroderma, and inflammation. We found that the core genes (RRP9 and DDX21) were highly expressed in colorectal cancer and scar tissue samples, while their expression was lower in normal samples. This was further validated through Western blotting (WB) and Polymerase Chain Reaction (PCR). CONCLUSIONS: The higher the expression of RRP9 and DDX21 in colorectal cancer and keloid, the worse the prognosis.

The role of CD14 and CSF1R in osteoarthritis and gastritis.

Osteoarthritis (OA) is a non-inflammatory degenerative joint disease that mainly involves articular cartilage damage and involves the whole joint tissue. Gastritis is a common stomach disorder, typically referring to inflammation or lesions of the gastric mucosa. However, the relationship between CD14 and colony stimulating factor-1 receptor (CSF1R) and these 2 diseases is not yet clear. OA datasets GSE46750, GSE82107 and gastritis datasets GSE54043 profiles were downloaded from gene expression omnibus databases generated by GPL10558 and GPL570.The R package limma was used to screen differentially expressed genes (DEGs). Weighted gene co-expression network analysis was performed. The construction and analysis of protein-protein interaction network, functional enrichment analysis, gene set enrichment analysis and comparative toxicogenomics database analysis were performed. TargetScan was used to screen miRNAs regulating central DEGs. A total of 568 DEGs were identified. According to the gene ontology (GO) and biological processes analysis, they were mainly enriched in ATP metabolism negative regulation, toll-like receptor TLR1:TLR2 signaling pathway, and intracellular transport. The enrichment terms for OA and gastritis were similar to the GO and Kyoto encyclopedia of gene and genome enrichment terms of DEGs, mainly enriched in ATP metabolism negative regulation, secretion granules, transmembrane receptor protein kinase activity, cytokine-cytokine receptor interaction, Toll-like receptor signaling pathway, MAPK signaling pathway, and TGF-ß signaling pathway. In the Metascape enrichment projects, GO enrichment projects showed functions related to cell-cell receptor interaction, cell secretion, and growth. Two core genes were identified through the construction and analysis of the protein-protein interaction network. The core genes (CD14 and CSF1R) exhibited high expression in OA and gastritis samples and low expression in normal samples. Comparative toxicogenomics database analysis revealed associations between core genes (CD14 and CSF1R) and diseases such as OA, osteoporosis, gastritis, juvenile arthritis, diarrhea, and inflammation. CD14 and CSF1R are highly expressed in OA and gastritis, making them potential therapeutic targets for both diseases.

Roles of DSCC1 and GINS1 in gastric cancer.

Gastric carcinoma is a common malignant tumor originating from gastric mucosal epithelium. However, role of DS-cell cycle-dependent protein 1 (DSCC1) and GINS1 in gastric carcinoma remains unclear. The gastric carcinoma datasets GSE79973 and GSE118916 were downloaded from gene expression omnibus. Multiple datasets were merged and batched. Differentially expressed genes (DEGs) were screened and weighted gene co-expression network analysis was performed. Functional enrichment analysis, gene set enrichment analysis and immune infiltration analysis were performed. Construction and analysis of protein-protein interaction Network. Survival analysis and comparative toxicogenomics database were performed. A heat map of gene expression was drawn. Target Scan screen miRNAs regulating DEGs. Two thousand forty-four DEGs were identified. According to gene ontology analysis, in biological process, they were mainly enriched in cell migration, transforming growth factor ß receptor signaling pathway, angiogenesis, and steroid metabolism process. In cellular component, they were mainly enriched in extracellular vesicles, basement membrane, endoplasmic reticulum lumen, and extracellular space. In molecular function, they focused on extracellular matrix structural components, protein binding, platelet-derived growth factor binding, and catalytic activity. In Kyoto encyclopedia of genes and genomes, they were mainly enriched in protein digestion and absorption, metabolic pathways, fatty acid degradation, Glycerophospholipid metabolism, ether lipid metabolism. Gene set enrichment analysis showed that DEGs were mainly enriched in transforming growth factor ß receptor signaling pathway, steroid metabolism process, basement membrane, endoplasmic reticulum lumen, structural components of extracellular matrix, platelet-derived growth factor binding, Glycerophospholipid metabolism, ether lipid metabolism. The results of immune infiltration analysis showed that expression of T cell CD4 memory resting was lower in the samples of gastric cancer. The core genes (TRIP13, CHEK1, DSCC1, GINS1) are protective factors, their expression shows a downward trend with increase of risk score. Comparative toxicogenomics database analysis showed that TRIP13, CHEK1, DSCC1, GINS1 were related to gastric tumors, gastric diseases, tumors, inflammation, and necrosis. DSCC1 and GINS1 are highly expressed in gastric cancer. Higher expression levels of DSCC1 and GINS1, worse the prognosis.

Role of SNAP25 on the occurrence and development of eosinophilic gastritis.

Eosinophilic gastritis is characterized by gastrointestinal symptoms accompanied by peripheral eosinophilia. This study aims to explore the association between eosinophilic gastritis and Synaptosome Associated Protein 25 (SNAP25), and provide a new direction for the diagnosis and treatment of eosinophilic gastritis. GSE54043 was downloaded from the gene expression omnibus database. Differentially expressed genes (DEGs) were screened. The functions of common DEGs were annotated by Database for Annotation, Visualization and Integrated Discovery and Metascape. The protein-protein interaction network of common DEGs was obtained by Search Tool for the Retrieval of Interacting Genes and visualized by Cytoscape. Significant modules were identified from the protein-protein interaction network. A total of 186 patients with eosinophilic gastritis were recruited. The clinical data were recorded and the expression levels of CPE, SST, PCSK2, SNAP25, and SYT4 were detected. Pearson chi-square test and Spearman correlation coefficient were used to analyze the relationship between eosinophilic gastritis and related parameters. Univariate and multivariate Logistic regression were used for further analysis. 353 DEGs were presented. The top 10 genes screened by cytoHubb were shown, and Veen diagram figured out 5 mutual genes. Pearson's chi-square test showed that SNAP25 (P < .001) was significantly associated with eosinophilic gastritis. Spearman correlation coefficient showed a significant correlation between eosinophilic gastritis and SNAP25 (ρ = -0.569, P < .001). Univariate logistic regression analysis showed that SNAP25 (OR = 0.046, 95% CI: 0.018-0.116, P < .001) was significantly associated with eosinophilic gastritis. Multivariate logistic regression analysis showed that SNAP25 (OR = 0.024, 95% CI: 0.007-0.075, P < .001) was significantly associated with eosinophilic gastritis. The low expression of SNAP25 gene in eosinophilic gastritis is associated with a higher risk of eosinophilic gastritis.

The Efficacy of Percutaneous Transhepatic Gallbladder Drainage Combined with Gallbladder-Preserving Cholecystolithotomy in High-Risk Patients with Acute Calculous Cholecystitis.

Objective: This study aimed to investigate the value of combining percutaneous transhepatic gallbladder drainage (PTGD) with gallbladder-preserving cholecystolithotomy (GPC) in high-risk patients with acute calculous cholecystitis. Methods: Clinical data from 74 high-risk patients with acute calculous cholecystitis, admitted to our hospital between October 2018 and September 2021, were analyzed retrospectively. All the patients underwent PTGD, and 59 of them underwent delayed cholecystectomy, while 14 patients were subjected to GPC 8-12 weeks after the PTGD; one patient, whose life expectancy was fewer than 6 months, was not treated for gallstones after PTGD. Results: In all 74 patients, symptom remission was achieved after the PTGD therapy, and the incidence of catheter-related complications was 10.8%. Among the 59 patients who underwent delayed cholecystectomy (DC) after PTGD, there was a complication incidence of 6.8%. Of the 14 patients who underwent GPC after the PTGD, 13 patients were subjected to the removal of drainage tubes, 1 patient received cholecystostomy catheter draining externally, and two patients (14.3%) had complications. There were no perioperative deaths. Conclusion: Percutaneous transhepatic gallbladder drainage, combined with GPC, is a safe and effective treatment that is suitable for high-risk patients with acute calculous cholecystitis who cannot receive DC. This combined method allows for early acute cholecystitis to settle, helps to remove gallstones at a later stage, and solves the problem of long-term tube drainage after PTGD.

Omitting nasogastric tube placement after gastrectomy does not enhance postoperative recovery: a propensity score matched analysis.

PURPOSE: Enhanced recovery after surgery (ERAS) program has become the main trend in gastrointestinal surgery. This study aims to investigate factors influencing the decision-making of nasogastric tube (NGT) placement and its safety and efficacy after gastrectomy. METHODS: We analyzed our prospectively maintained database including 287 patients who underwent elective gastrectomy in our department from January 1 to December 31, 2017. All cases were divided into two groups, namely, the no-NGT group and the NGT group. Logistic regression was used to analyze factors that affected the decision of NGT placement, and propensity score matching (PSM) was later applied to balance those factors for the analysis of safety outcomes between groups. RESULTS: Multivariate analysis showed resection range (p = 0.004, proximal gastrectomy: OR = 4.555, 95%CI = 1.392-14.905, p = 0.016; total gastrectomy: OR = 1.990, 95%CI = 1.205-3.287, p = 0.009) was the only independent risk factor of NGT placement. NGT was omitted in the majority (58.8%) of distal gastrectomy but only in 42.5% and 25% in total and proximal gastrectomy. After PSM, we found no significant differences between patients with or without NGT in postoperative hospital stay, time to first flatus and defecation, time to fluid and semi-fluid diet, rate of reinsertion, or hospitalization expenditure (p > 0.05, respectively). The incidence of postoperative complications in the two groups were 21.7% and 23.5%, respectively (p = 0.753), and the incidence of major complications was 7.0% and 9.6% (p = 0.472). CONCLUSION: The decision-making of NGT placement is mainly influenced by the resection range. Omitting NGT is a safe approach in all types of gastrectomy but was not able to enhance the recovery in our practice.

Correlative Analysis Between Adverse Events of Preoperative Chemotherapy and Postoperative Complications of Gastric Cancer.

Background and Objectives: This study aims to explore the safety of preoperative chemotherapy and clarify whether preoperative chemotherapy with oxaliplatin + S-1 (SOX) regimen and its adverse events are associated with higher risks of postoperative complications. Methods: We included consecutive patients with gastric cancer who underwent gastrectomy in our department between July 1 2018, and January 31 2020. Patients with preoperative SOX regimen chemotherapy were included in the analysis. Results: In the 343 included patients, 77 cases underwent preoperative chemotherapy. In total, surgical complications were found in 117 patients (34.1%), and there was no significant difference between the patients with and without preoperative chemotherapy before and after propensity score matching (p > 0.05, respectively). Multivariate analysis showed that preoperative comorbidities (p = 0.026) and the preoperative cT4b (p = 0.028) were independent risk factors in postoperative complications. In patients with preoperative chemotherapy, neither the occurrence of adverse events nor their severity was associated with postoperative complications (p > 0.05). However, the patients who received five to six cycles were more prone to postoperative complications than those who received three to four cycles (62.5 vs. 27.9%, OR = 4.306, 95% Cl = 1.282-14.464, p = 0.018). Conclusions: Occurrence of postoperative complications was not influenced by preoperative SOX chemotherapy. However, increased cycles of chemotherapy may lead to higher incidence of postoperative complications.

Preoperatively predicting the pathological types of acute appendicitis using machine learning based on peripheral blood biomarkers and clinical features: a retrospective study.

BACKGROUND: This study aimed to establish machine learning models for preoperative prediction of the pathological types of acute appendicitis. METHODS: Based on histopathology, 136 patients with acute appendicitis were included and divided into three types: acute simple appendicitis (SA, n=8), acute purulent appendicitis (PA, n=104), and acute gangrenous or perforated appendicitis (GPA, n=24). Patients with SA/PA and PA/GPA were divided into training (70%) and testing (30%) sets. Statistically significant features (P<0.05) for pathology prediction were selected by univariate analysis. According to clinical and laboratory data, machine learning logistic regression (LR) models were built. Area under receiver operating characteristic curve (AUC) was used for model assessment. RESULTS: Nausea and vomiting, abdominal pain time, neutrophils (NE), CD4+ T cell, helper T cell, B lymphocyte, natural killer (NK) cell counts, and CD4+/CD8+ ratio were selected features for the SA/PA group (P<0.05). Nausea and vomiting, abdominal pain time, the highest temperature, CD8+ T cell, procalcitonin (PCT), and C-reactive protein (CRP) were selected features for the PA/GPA group (P<0.05). By using LR models, the blood markers can distinguish SA and PA (training AUC =0.904, testing AUC =0.910). To introduce additional clinical features, the AUC for the testing set increased to 0.926. In the PA/GPA prediction model, AUC with blood biomarkers was 0.834 for the training and 0.821 for the testing set. Combining with clinical features, the AUC for the testing set increased to 0.854. CONCLUSIONS: Peripheral blood biomarkers can predict the pathological type of SA from PA and GPA. Introducing clinical symptoms could further improve the prediction performance.

The Application of Core Needle Biopsy Through the Trocar Hole in the Surgical Operation of Endoscopically Unresectable Giant Colon Polyps: A Systematic Review Study.

INTRODUCTION: The study aimed to investigate the application of core needle biopsy through the trocar hole during surgery on endoscopically unresectable giant colon polyps. METHODS: The clinical data of 51 patients with endoscopically unresectable giant colon polyps from May 2016 to May 2020 were retrospectively analyzed. The primary observational outcomes were two comparative analyses of pathologic results, using the kappa index: comparison of the pathologic results from the preoperative colonoscopy and the postoperative pathologic results and comparison of the intraoperative pathologic results from core needle biopsy of the intestinal wall and the postoperative pathologic results. The secondary observational outcomes were duration of needle biopsy, operation duration, volume of intraoperative hemorrhage, rate of postoperative wound infection, rate of abdominal cavity infection, length of stay, and number and positivity of lymph node dissections after laparoscopic radical resection of colon cancer. RESULTS: Poor consistency was found between the preoperative (colonoscopy) and postoperative pathologic results, with kappa = 0.222 (i.e., kappa < 0.4), P < 0.05. However, good consistency was found between the intraoperative (core needle biopsy) and postoperative pathologic results, with kappa = 0.923 (i.e., kappa ≥ 0.75), P < 0.05. The postoperative pathologic results were as follows: 7 cases of adenomatous polyps of the colon, 12 cases of low-grade intraepithelial neoplasia, 12 cases of high-grade intraepithelial neoplasia, and 25 cases of invasive colon cancer. There was no incision infection, no abdominal cavity infection or formation of an abdominal abscess, no anastomotic leakage, and no death for any of the 51 patients. Postoperative complications occurred in two cases (3.92%). CONCLUSION: Biopsy through the trocar hole during laparoscopic surgery produced highly accurate pathologic results and was a fast, safe, and effective diagnostic method. Pathologic results from intraoperative biopsy could accurately determine the nature of colon polyps and provide a basis for choosing an appropriate surgical scheme.

Clinical predictive efficacy of C-reactive protein for diagnosing infectious complications after gastric surgery.

BACKGROUND: With the popularization of Enhanced Recovery After Surgery (ERAS), identifying patients with complications before discharging becomes important. This study aimed to explore the efficacy of C-reactive protein (CRP) in predicting infectious complications after gastrectomy. METHODS: Patients with gastric cancer who underwent gastrectomy at Beijing Cancer Hospital from March 2017 to April 2018 were enrolled in the training set. Complications were prospectively registered. Receiver operating characteristic analysis was performed to assess the diagnostic accuracy of CRP via evaluating the area under the curve (AUC). Patients who had CRP tested on postoperative day (POD) 5 and accepted gastrectomy from April to December 2018 were included in the validation set to validate the cut-off value of CRP obtained from the training set. RESULTS: A total of 350 patients were included (263 patients in the training set and 87 patients in the validation set). Out of these, 24 patients were diagnosed with infectious complications and 17 patients had anastomotic leakage in the training set. The CRP level on POD5 had superior diagnostic accuracy for infectious complications with an AUC of 0.81. The cut-off value of CRP on POD5 at 166.65 mg/L yielded 93% specificity and 97.2% negative predict value (NPV); For anastomotic leakage, the AUC of CRP on POD5 was 0.81. Using the cut-off value of CRP at 166.65 mg/L on POD5 achieved 92% specificity and 98.6% NPV. The optimal cut-off value (CRP 166.65 mg/L on POD5) was validated in the validation set. It achieved 97.5% specificity and 94.0% NPV for infectious complications, and 97.6% specificity and 96.4% NPV for anastomotic leakage. CONCLUSION: CRP is a reliable predictive marker for the diagnosis of inflammatory complications following gastric surgery. However, this study was based on preliminary data. The validity of this data needs confirmation by a larger number of cases.