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BACKGROUND: Surgical treatment for a benign or low-grade malignant tumor in the pancreatic head remains a challenge at present. As an organ-sparing procedure, enucleation is ideal. However, it is still controversial whether laparoscopic enucleation (LapEN) can be safely performed for a pancreatic head tumor, especially a deeply embedded one. METHODS: The cases who underwent LapEN of a pancreatic tumor from January 2014 to September 2022 in our hospital were collected and analyzed. RESULTS: A total of 151 cases were collected. The incidence of pancreatic fistula (PF, grade B) was 21.9 %. No patient developed PF (grade C) or died. Compared with enucleating a tumor in the distal pancreas (N = 98), enucleating a tumor in the pancreatic head (N = 53) showed a longer operation time and a higher incidence of conversion. The cases with a tumor in the pancreatic head were then divided into the group with a deeply embedded tumor (N = 32) and the group with a superficial tumor (N = 21). The embedded group had a smaller tumor size and a higher proportion of insulinoma. There were no statistical differences in the parameters of operation time, blood loss and incidence of complications between the two groups. The outcomes of enucleating a tumor deeply embedded in the proximal and distal pancreas were further analyzed, which indicated no statistical differences in clinical parameters between the two groups. CONCLUSION: LapEN of a tumor in the pancreatic head is feasible and safe, even for a deeply embedded tumor.
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Background: The fibrinogen-to-prealbumin ratio (FPR), a novel immune-nutritional biomarker, has been reported to be associated with prognosis in several types of cancer, but the role of FPR in the prognosis of resectable pancreatic cancer has not been elucidated. Methods: A total of 263 patients with resectable pancreatic cancer were enrolled in this study and were randomly divided into a training cohort (n = 146) and a validation cohort (n = 117). Receiver operating characteristic curve (ROC) was used to calculate the cut-off values of immune-nutritional markers. The least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox regression were performed in the training cohort to identify the independent risk factors, based on which the nomogram was established. The performance of the nomogram was evaluated and validation by the training and validation cohort, respectively. Results: The optimal cutoff value for FPR was 0.29. Multivariate analysis revealed that FPR, controlling nutritional status (CONUT), carbohydrate antigen 19-9 (CA19-9), carcinoembryonic antigen (CEA), and tumor node metastasis (TNM) stage were independent predictors of overall survival (OS). The nomogram was established by involving the five factors above. The C-index of the training cohort and validation cohort were 0.703 (95% CI: 0.0.646-0.761) and 0.728 (95% CI: 0.671-0.784). Decision curve analysis and time-dependent AUC showed that the nomogram had better predictive and discriminative ability than the conventional TNM stage. Conclusion: FPR is a feasible biomarker for predicting prognosis in patients with resectable pancreatic cancer. The nomogram based on FPR is a useful tool for clinicians in making individualized treatment strategies and survival predictions.
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Disulfiram has been used clinically for decades as an anti-alcoholic drug. Recently, several studies have demonstrated the anti-inflammatory effects of disulfiram and its metabolism, which can alleviate the progression of inflammation in vivo and in vitro. In the current study, we summarize the anti-inflammatory mechanisms of disulfiram and its metabolism, including inhibition of pyroptosis by either covalently modifying gasdermin D or inactivating nod-like receptor protein 3 inflammasome, dual effects of intracellular reactive oxygen species production, and inhibition of angiogenesis. Furthermore, we review the potential application of disulfiram and its metabolism in treatment of inflammatory disorders, such as inflammatory bowel disease, inflammatory injury of kidney and liver, type 2 diabetes mellitus, sepsis, uveitis, and osteoarthritis.
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Generating chaotic maps with expected dynamics of users is a challenging topic. Utilizing the inherent relation between the Lyapunov exponents (LEs) of the Cat map and its associated Cat matrix, this paper proposes a simple but efficient method to construct an -dimensional ( -D) hyperchaotic Cat map (HCM) with any desired number of positive LEs. The method first generates two basic -D Cat matrices iteratively and then constructs the final -D Cat matrix by performing similarity transformation on one basic -D Cat matrix by the other. Given any number of positive LEs, it can generate an -D HCM with desired hyperchaotic complexity. Two illustrative examples of -D HCMs were constructed to show the effectiveness of the proposed method, and to verify the inherent relation between the LEs and Cat matrix. Theoretical analysis proves that the parameter space of the generated HCM is very large. Performance evaluations show that, compared with existing methods, the proposed method can construct -D HCMs with lower computation complexity and their outputs demonstrate strong randomness and complex ergodicity.