Predicting the unpredictable: a robust nomogram for predicting recurrence in patients with ampullary carcinoma.

OBJECTIVE: To screen the risk factors affecting the recurrence risk of patients with ampullary carcinoma (AC)after radical resection, and then to construct a model for risk prediction based on Lasso-Cox regression and visualize it. METHODS: Clinical data were collected from 162 patients that received pancreaticoduodenectomy treatment in Hebei Provincial Cancer Hospital from January 2011 to January 2022. Lasso regression was used in the training group to screen the risk factors for recurrence. The Lasso-Cox regression and Random Survival Forest (RSF) models were compared using Delong test to determine the optimum model based on the risk factors. Finally, the selected model was validated using clinical data from the validation group. RESULTS: The patients were split into two groups, with a 7:3 ratio for training and validation. The variables screened by Lasso regression, such as CA19-9/GGT, AJCC 8th edition TNM staging, Lymph node invasion, Differentiation, Tumor size, CA19-9, Gender, GPR, PLR, Drinking history, and Complications, were used in modeling with the Lasso-Cox regression model (C-index = 0.845) and RSF model (C-index = 0.719) in the training group. According to the Delong test we chose the Lasso-Cox regression model (P = 0.019) and validated its performance with time-dependent receiver operating characteristics curves(tdROC), calibration curves, and decision curve analysis (DCA). The areas under the tdROC curves for 1, 3, and 5 years were 0.855, 0.888, and 0.924 in the training group and 0.841, 0.871, and 0.901 in the validation group, respectively. The calibration curves performed well, as well as the DCA showed higher net returns and a broader range of threshold probabilities using the predictive model. A nomogram visualization is used to display the results of the selected model. CONCLUSION: The study established a nomogram based on the Lasso-Cox regression model for predicting recurrence in AC patients. Compared to a nomogram built via other methods, this one is more robust and accurate.

Enhanced NK cell activation via eEF2K-mediated potentiation of the cGAS-STING pathway in hepatocellular carcinoma.

BACKGROUND: Liver cancer, particularly hepatocellular carcinoma (HCC), is characterized by a high mortality rate, attributed primarily to the establishment of an immunosuppressive microenvironment. Within this context, we aimed to elucidate the pivotal role of eukaryotic elongation factor 2 kinase (eEF2K) in orchestrating the infiltration and activation of natural killer (NK) cells within the HCC tumor microenvironment. By shedding light on the immunomodulatory mechanisms at play, our findings should clarify HCC pathogenesis and help identify potential therapeutic intervention venues. METHODS: We performed a comprehensive bioinformatics analysis to determine the functions of eEF2K in the context of HCC. We initially used paired tumor and adjacent normal tissue samples from patients with HCC to measure eEF2K expression and its correlation with prognosis. Subsequently, we enrolled a cohort of patients with HCC undergoing immunotherapy to examine the ability of eEF2K to predict treatment efficacy. To delve deeper into the mechanistic aspects, we established an eEF2K-knockout cell line using CRISPR/Cas9 gene editing. This step was crucial for verifying activation of the cGAS-STING pathway and the subsequent secretion of cytokines. To further elucidate the role of eEF2K in NK cell function, we applied siRNA-based techniques to effectively suppress eEF2K expression in vitro. For in vivo validation, we developed a tumor-bearing mouse model that enabled us to compare the infiltration and activation of NK cells within the tumor microenvironment following various treatment strategies. RESULTS: We detected elevated eEF2K expression within HCC tissues, and this was correlated with an unfavorable prognosis (30.84 vs. 20.99 months, P = 0.033). In addition, co-culturing eEF2K-knockout HepG2 cells with dendritic cells led to activation of the cGAS-STING pathway and a subsequent increase in the secretion of IL-2 and CXCL9. Moreover, inhibiting eEF2K resulted in notable NK cell proliferation along with apoptosis reduction. Remarkably, after combining NH125 and PD-1 treatments, we found a significant increase in NK cell infiltration within HCC tumors in our murine model. Our flow cytometry analysis revealed reduced NKG2A expression and elevated NKG2D expression and secretion of granzyme B, TNF-α, and IFN-γ in NK cells. Immunohistochemical examination confirmed no evidence of damage to vital organs in the mice treated with the combination therapy. Additionally, we noted higher levels of glutathione peroxidase and lipid peroxidation in the peripheral blood serum of the treated mice. CONCLUSION: Targeted eEF2K blockade may result in cGAS-STING pathway activation, leading to enhanced infiltration and activity of NK cells within HCC tumors. The synergistic effect achieved by combining an eEF2K inhibitor with PD-1 antibody therapy represents a novel and promising approach for the treatment of HCC.

Short- and long-term outcomes of robotic versus open radical antegrade modular pancreatosplenectomy: a retrospective propensity score-matched cohort study.

BACKGROUND: Robotic distal pancreatectomy has increasingly been accepted as it has overcome some of the limitations of open distal pancreatectomy, whilst the outcomes following robotic radical antegrade modular pancreatosplenectomy (RAMPS) in patients with pancreatic ductal adenocarcinoma (PDAC) are still uncertain. This study aimed to evaluate the short and long-term outcomes of robotic RAMPS and open RAMPS for PDAC. METHODS: The patients who underwent robotic RAMPS and open RAMPS for PDAC at our clinical centre between January 2017 and December 2021 were reviewed. After a propensity score matching (PSM) at a 1:1 ratio, the perioperative and pathological outcomes in the both groups were reviewed. Univariable and multivariable Cox regression analyses were used to identify independent prognosis factors for overall survival (OS) and recurrence-free survival (RFS) of these patients. RESULTS: 318 cases were recorded in robotic and open groups. The robotic group showed advantages in operative time [205.00 (166.00, 240.00) min vs 235 (184.75, 270.00) min, P = 0.002], estimated blood loss [100 (50, 100) ml vs 300 (100, 400) ml, P < 0.001], delayed gastric emptying [0 vs 5.03%, P = 0.007] and postoperative hospital stay [7.00 (5.00, 10.00) days vs 11.00 (8.00, 14.00) days, P < 0.001]. There were no significant differences in rate of severe postoperative complications between the robotic group and the open group. Multivariable analysis showed that carbohydrate antigen 19-9, estimated blood loss, N stage, tumour differentiation, chemotherapy and vascular invasion were independent risk factors for OS and RFS of these patients. CONCLUSIONS: Robotic RAMPS was safe and had some advantages over open RAMPS for PDAC. There were no significantly differences in oncological outcomes and long-term survival rates between the robotic and open groups. Robotic RAMPS expanded the indications for minimally invasive surgeries for PDAC to a certain extent.

Hepatobiliary surgery based on intelligent image segmentation technology.

Liver disease is an important disease that seriously threatens human health. It accounts for the highest proportion in various malignant tumors, and its incidence rate and mortality are on the rise, seriously affecting human health. Modern imaging has developed rapidly, but the application of image segmentation in liver tumor surgery is still rare. The application of image processing technology represented by artificial intelligence (AI) in surgery can greatly improve the efficiency of surgery, reduce surgical complications, and reduce the cost of surgery. Hepatocellular carcinoma is the most common malignant tumor in the world, and its mortality is second only to lung cancer. The resection rate of liver cancer surgery is high, and it is a multidisciplinary surgery, so it is necessary to explore the possibility of effective switching between different disciplines. Resection of hepatobiliary and pancreatic tumors is one of the most challenging and lethal surgical procedures. The operation requires a high level of doctors' experience and understanding of anatomical structures. The surgical segmentation is slow and there may be obvious complications. Therefore, the surgical system needs to make full use of the relevant functions of AI technology and computer vision analysis software, and combine the processing strategy based on image processing algorithm and computer vision analysis model. Intelligent optimization algorithm, also known as modern heuristic algorithm, is an algorithm with global optimization performance, strong universality, and suitable for parallel processing. This algorithm generally has a strict theoretical basis, rather than relying solely on expert experience. In theory, the optimal solution or approximate optimal solution can be found in a certain time. This work studies the hepatobiliary surgery through intelligent image segmentation technology, and analyzes them through intelligent optimization algorithm. The research results showed that when other conditions were the same, there were three patients who had adverse reactions in hepatobiliary surgery through intelligent image segmentation technology, accounting for 10%. The number of patients with adverse reactions in hepatobiliary surgery by conventional methods was nine, accounting for 30%, which was significantly higher than the former, indicating a positive relationship between intelligent image segmentation technology and hepatobiliary surgery.

Challenging Diagnosis of Intrapancreatic Accessory Spleen in the Tail of the Pancreas: A Case Report.

BACKGROUND Intrapancreatic accessory spleen, or splenunculus, is a congenital condition that occurs in up to 2% of the population, with the tail of the pancreas being the second most common site. Imaging alone may not confirm the diagnosis as this can mimic a hypervascular tumor on contrast-enhanced computed tomography (CT) and magnetic resonance imaging (MRI). This report presents a challenging case of intrapancreatic accessory spleen in the tail of the pancreas in a 64-year-old man. CASE REPORT A 64-year-old man was admitted for a space-occupying lesion in the tail of the pancreas. CT, MRI, and positron emission tomography-CT could not confirm the diagnosis. Endoscopic ultrasound-guided fine-needle aspiration biopsy was not performed given the potential for greater risk. The mass in the patient's pancreatic tail was considered benign or low-grade malignant. The patient then underwent a robotic pancreatectomy to remove the tumor in the tail of the pancreas. We performed intraoperative ultrasound scanning and detected a hypoechoic nodule in the body of the pancreas. This nodule had a clear boundary, and color Doppler flow imaging showed that there was no definite blood flow signal in it. The pathology diagnosis after surgery was intrapancreatic accessory spleen. The patient recovered without other complications and was discharged 5 days later. CONCLUSIONS This report highlights the importance of considering the diagnosis of intrapancreatic accessory spleen in hypervascular lesions seen on imaging alone and of confirming the diagnosis with definitive cytopathology or histopathology.

Big Data Analysis and Application of Liver Cancer Gene Sequence Based on Second-Generation Sequencing Technology.

In big data analysis with the rapid improvement of computer storage capacity and the rapid development of complex algorithms, the exponential growth of massive data has also made science and technology progress with each passing day. Based on omics data such as mRNA data, microRNA data, or DNA methylation data, this study uses traditional clustering methods such as kmeans, K-nearest neighbors, hierarchical clustering, affinity propagation, and nonnegative matrix decomposition to classify samples into categories, obtained: (1) The assumption that the attributes are independent of each other reduces the classification effect of the algorithm to a certain extent. According to the idea of multilevel grid, there is a one-to-one mapping from high-dimensional space to one-dimensional. The complexity is greatly simplified by encoding the one-dimensional grid of the hierarchical grid. The logic of the algorithm is relatively simple, and it also has a very stable classification efficiency. (2) Convert the two-dimensional representation of the data into the one-dimensional representation of the binary, realize the dimensionality reduction processing of the data, and improve the organization and storage efficiency of the data. The grid coding expresses the spatial position of the data, maintains the original organization method of the data, and does not make the abstract expression of the data object. (3) The data processing of nondiscrete and missing values provides a new opportunity for the identification of protein targets of small molecule therapy and obtains a better classification effect. (4) The comparison of the three models shows that Naive Bayes is the optimal model. Each iteration is composed of alternately expected steps and maximal steps and then identified and quantified by MS.

Correlation between Serum Oxidative Stress Level and Serum Uric Acid and Prognosis in Patients with Hepatitis B-Related Liver Cancer before Operation.

Aiming to explore the correlation between preoperative serum oxidative stress level and serum uric acid and prognosis of hepatitis B-related liver cancer, the clinical data of 712 patients with hepatitis B-related liver cancer from January 2019 to December 2020 were retrospectively analyzed. By using the receiver operating curve, the optimal critical values of preoperative superoxide dismutase (SOD), malondialdehyde (MDA), and serum uric acid (SUA) are determined. The single-factor and multifactor Cox models are applied to screen out the suspicious factors affecting the prognosis of patients with hepatitis B-related liver cancer. According to the survival status of patients, the optimal thresholds of SOD, MDA, and SUA before operation were 58.055/mL, 10.825 nmol/L, and 312.77 nmol/L, respectively. The results of univariate analysis show that the prognosis of patients is significantly correlated with preoperative SOD, MDA, and SUA levels and TNM staging (P < 0.05). Additionally, multivariate analysis demonstrates that preoperative SOD < 58.055 U/mL and SUA ≥ 312.770 mmol/L and TNM stage III-IV are independent risk factors for postoperative prognosis (P < 0.05). Our study suggests that SOD, SUA, and TNM staging have certain value in judging the early prognosis of patients with hepatitis B-related liver cancer. Patients with high preoperative SOD level and low preoperative SUA level can obtain better prognosis.

MicroRNA-106b-5p promotes hepatocellular carcinoma development via modulating FOG2.

Background: A recent study has revealed that miR-106b-5p might promote hepatocellular carcinoma (HCC) stemness maintenance and metastasis by targeting PTEN via PI3K/Akt pathway based on HCC cell lines and animal models. Its clinical relevance remains unknown. Purpose: Herein, we aimed to evaluate associations of miR-106b-5p dysregulation with various clinicopathological features of HCC patients and investigate its functions during HCC progression. Patients and methods: At first, miR-106b-5p expression in 130 pairs of HCC and adjacent normal liver tissues was detected by quantitative PCR. Chi-square test was then performed to determine clinical significance. Further investigations on its functions were performed by miRNA target prediction and validation, as well as cellular experiments. Results: miR-106b-5p levels in HCC tissues were significantly higher than those in the adjacent normal liver tissues (P<0.001). High miR-106b-5p expression was significantly associated with advanced tumor stage (P=0.02) and high tumor grade (P=0.03). In addition, Friend of GATA 2 (FOG2) was identified as a direct target of miR-106b-5p in HCC cells. Moreover, the clinical relevance to HCC progression of the combined high miR-106b-5p and low FOG2 expression was more significant than high miR-106b-5p alone. Functionally, enforced expression of miR-106b-5p reduced FOG2 expression and promoted the proliferation and invasion of HCC cells. Furthermore, co-transfection of FOG2 restored the oncogenic roles of miR-106b-5p over-expression. Conclusion: Our data offer the convincing evidence that miR-106b-5p upregulation may promote the aggressive progression of HCC. miR-106b-5p overexpression may promote HCC cell proliferation and invasion by suppressing FOG2, implying its potentials as a promising therapeutic target for HCC patients.

Exosomal microRNAs as potential biomarkers for cancer cell migration and prognosis in hepatocellular carcinoma patient-derived cell models.

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors worldwide, and current treatments exhibit limited efficacy against advanced HCC. The majority of cancer-related deaths are caused by metastasis from the primary tumor, which indicates the importance of identifying clinical biomarkers for predicting metastasis and indicating prognosis. Patient-derived cells (PDCs) may be effective models for biomarker identification. In the present study, a wound healing assay was used to obtain 10 fast-migrated and 10 slow-migrated PDC cultures from 36 HCC samples. MicroRNA (miRNA) signatures in PDCs and PDC-derived exosomes were profiled by microRNA-sequencing. Differentially expressed miRNAs between the low- and fast-migrated groups were identified and further validated in 372 HCC profiles from The Cancer Genome Atlas (TCGA). Six exosomal miRNAs were identified to be differentially expressed between the two groups. In the fast-migrated group, five miRNAs (miR-140-3p, miR-30d-5p, miR-29b-3p, miR-130b-3p and miR-330-5p) were downregulated, and one miRNA (miR-296-3p) was upregulated compared with the slow-migrated group. Pathway analysis demonstrated that the target genes of the differentially expressed miRNAs were significantly enriched in the 'focal adhesion' pathway, which is consistent with the roles of these miRNAs in tumor metastasis. Three miRNAs, miR-30d, miR-140 and miR-29b, were significantly associated with patient survival. These findings indicated that these exosomal miRNAs may be candidate biomarkers for predicting HCC cell migration and prognosis and may guide the treatment of advanced HCC.

Somatic mutation profiling of liver and biliary cancer by targeted next generation sequencing.

Liver and biliary cancers are highly lethal cancer types lacking effective treatments. The somatic mutations, particularly those with low mutant allele frequencies, in Chinese patients with liver and biliary cancer have not been profiled, and the frequency of patients benefiting from targeted therapy has not been studied. The present study evaluated the tumor tissues of 45 Chinese patients with hepatocellular carcinoma (HCC) and 12 Chinese patients with biliary tract cancer (BTC) by targeted next generation sequencing, with an average coverage of 639×, to identify alterations in 372 cancer-related genes. A total of 263 variants were identified in 139 genes, with 85.6% of these variants not previously reported in the Catalogue Of Somatic Mutations In Cancer database, and the mutation profile was different from the current datasets, including The Cancer Genome Atlas dataset and the National Cancer Center Japan (NCC_JP) dataset. Patients with hepatitis B virus (HBV) infection harbored more mutations than those without HBV infection, and the mutations in HBV carriers occurred preferentially in genes involved in vascular endothelial growth factor signaling pathways. Mutations in fibroblast growth factor and RAS signaling pathways were enriched in patients with cirrhosis, and alterations in interleukin and transforming growth factor signaling pathways were more frequently identified in individuals with abnormal bilirubin expression. Of all the patients, 7% exhibited variants in the target of sorafenib, and 42% harbored variants in the targets of drugs that have been approved to treat other types of cancer. These findings indicate diverse HCC/BTC variants patterns in different populations, and that the mutation load and patterns are correlated with clinical features. Further clinical studies are now warranted to evaluate the efficacies of other targeted drugs besides sorafenib in the treatment of patients with liver and biliary cancer.

A rapid point-of-care test for dengue virus-1 based on a lateral flow assay with a near-infrared fluorescent dye.

Dengue fever is caused by the dengue virus (DENV), and DENV1 is the prevalent epidemic serotype in south China. A new lateral flow assay (LFA) based on a near-infrared (NIR) fluorescent dye was developed to detect anti-DENV1 IgG antibodies. DyLight-800 was used as the marker conjugated to goat anti-human IgG antibodies, and recombinant dengue type 1 envelope protein was used as the capture protein on the test line. Twenty samples from patients infected with DENV1 and 160 negative controls were analyzed using this new NIR-LFA. The results of the NIR-LFA were compared with the results of Panbio Dengue IgG ELISA and the Dengue Duo IgM/IgG Cassette. Nineteen confirmed DENV1-positive samples were identified by NIR-LFA, giving 95% (19/20) sensitivity. No significant differences existed in the results when the 20 primary clinical samples were analyzed using NIR-LFA, Panbio ELISA, and the Dengue Duo Cassette. However, NIR-LFA had a lower limit of detection than IgG ELISA and Duo IgM/IgG Cassette did when analyzing a 2-fold dilution series of the 19 samples positively identified by NIR-LFA. When incorporated with an NIR POCT device, the new NIR-LFA was rapid, easy to use, and highly sensitive in detecting DENV1, and has potential for application to clinical diagnosis.

Expression and Prognostic Value of Indoleamine 2,3-dioxygenase in Pancreatic Cancer.

BACKGROUND: Indoleamine 2,3-dioxygenase (IDO), an enzyme for tryptophan metabolism through the kynurenine pathway, exhibits an immunosuppressive effect and induces immune tolerance in tumor cells. The effects of IDO on pancreatic cancer are poorly understood. This study aimed to investigate the expression and prognostic significance of IDO in pancreatic cancer. METHODS: We evaluated the protein expression of IDO in PANC-1, CFPAC-1, and BxPC-3 cell lines with or without 48 h treatment by 500 U/ml interferon-γ (IFN-γ). We performed immunohistochemical staining and Western blot analysis for IDO expression in both pancreatic cancer and normal pancreas tissues obtained from Chinese PLA General Hospital from July 2012 to December 2013. Survival analysis was performed to correlate IDO expression and histopathologic parameters with overall survival. The Kaplan-Meier method and Cox proportional hazards regression model were conducted. RESULTS: PANC-1, CFPAC-1, and BxPC-3 cell lines expressed IDO at the protein level, and the relative expression amount increased after stimulation with 500 U/ml IFN-γ. Immunohistochemical analysis results revealed that high IDO expression was observed in 59% of pancreatic adenocarcinoma tissues. Compared with normal pancreatic tissues, pancreatic adenocarcinoma showed significantly higher IDO expression levels, especially among patients with high tumor node metastasis (TNM) stages (χ2 = 4.550, P = 0.030), poor histological differentiation (χ2 = 5.690, P = 0.017), and lymph node metastasis (χ2 = 4.340 P = 0.037). Kaplan-Meier survival curves showed that high IDO expression was correlated with low survival rates (hazard ratio [HR] = 0.49 P = 0.009). Multivariate analysis using Cox proportional hazards model indicated that lymph node metastasis (HR = 0.35 P = 0.010) and IDO expression (HR = 0.42 P = 0.020) were two independent prognostic predictors of pancreatic adenocarcinoma. CONCLUSIONS: The study confirmed that high IDO expression in pancreatic adenocarcinoma was related to poor prognosis of patients. These findings provided evidence that IDO was involved in pancreatic adenocarcinoma progression and might serve as a relevant therapeutic target.

The significance of low levels of LINC RP1130-1 expression in human hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is the most common neoplasms. Little progress has been made in the diagnosis and treatment of HCC and its prognosis remains poor. Studies have increasingly found that long non-coding RNA (lncRNA) is involved in the regulation of the occurrence and development of HCC. To investigate the diagnostic and prognostic value of lncRNA in HCC, the current study examined 25 lncRNAs with differing levels of expression (according to the fold change) in microarray databases. Expression of LINC RP1130-1 was found to be markedly down-regulated in 51 HCC tissues compared to matching adjacent non-tumor liver tissues. The pattern of expression and clinical significance of LINC RP1130-1 were examined in HCC. The area under the receiver operating characteristic (ROC) curve was 0.74 for LINC RP1130-1. The expression of LINC RP1130-1 was associated with clinical stage, the number of tumors, portal vein tumor thrombus (PVTT), and microvascular invasion (MVI). More importantly, patients with a low level of LINC RP1130-1 expression had a shorter recurrence-free survival (RFS) (n = 51, p < 0.05) than those with a high level of LINC RP1130-1 expression. Taken together, these findings indicate that a low level of LINC RP1130-1 expression in patients with HCC may be a powerful tumor biomarker, with potential clinical use in diagnosing and predicting the prognosis for patients with HCC.

Hepatorenal syndrome: insights into the mechanisms of intra-abdominal hypertension.

OBJECTIVE: Hepatorenal syndrome is one of the serious complications of cirrhosis and closely associated with the increasing intra-abdominal pressure (IAP). The study aims to explore the potential mechanism of intra-abdominal hypertension in the development of hepatorenal syndrome in mouse models. METHODS: Eighty male mice were randomly divided into model group (subcutaneous injection of carbon tetrachloride) and control group (subcutaneous injection of olive oil). After 12 weeks, parts of the mice were sacrificed and liver histopathology was detected. Then, albumin (30 g/L) and normal saline were separately injected into the peritoneal cavity of mice to induce the different IAP levels (0, 5, 10 and 20cmH2O). Blood urea nitrogen, serum creatinine and renal histopathology were examined 24 hours later. RESULTS: Blood urea nitrogen and serum creatinine levels were statistically significant high in the group of IAP= 10 and 20cmH2O as compared with the IAP= 0cmH2O. From results of renal histopathology, the constrictive renal tubular lumen and inflammatory infiltration in the interstitial were observed in groups of IAP= 5 and 10cmH2O. Besides, the formed casts and hyperemia in the renal interstitial could be detected in group of IAP= 20cmH2O. The cellular swelling and edema of renal tubular epithelial cells were found in model group simultaneously. CONCLUSIONS: Our study suggested that intra-abdominal hypertension was a significant pathological mechanism and a potential independent risk factor of hepatorenal syndrome.