Risk factors,prognostic factors,and nomograms for distant metastasis in patients with diagnosed duodenal cancer:A population-based study

BACKGROUND Duodenal cancer is one of the most common subtypes of small intestinal cancer,and distant metastasis(DM)in this type of cancer still leads to poor prognosis.Although nomograms have recently been used in tumor areas,no studies have focused on the diagnostic and prognostic evaluation of DM in patients with primary duodenal cancer.AIM To develop and evaluate nomograms for predicting the risk of DM and person-alized prognosis in patients with duodenal cancer.METHODS Data on duodenal cancer patients diagnosed between 2010 and 2019 were extracted from the Surveillance,Epidemiology,and End Results database.Univariate and multivariate logistic regression analyses were used to identify independent risk factors for DM in patients with duodenal cancer,and univariate and multivariate Cox proportional hazards regression analyses were used to determine independent prognostic factors in duodenal cancer patients with DM.Two novel nomograms were established,and the results were evaluated by receiver operating characteristic(ROC)curves,calibration curves,and decision curve analysis(DCA).RESULTS A total of 2603 patients with duodenal cancer were included,of whom 457 cases(17.56%)had DM at the time of diagnosis.Logistic analysis revealed independent risk factors for DM in duodenal cancer patients,including gender,grade,tumor size,T stage,and N stage(P<0.05).Univariate and multivariate COX analyses further identified independent prognostic factors for duodenal cancer patients with DM,including age,histological type,T stage,tumor grade,tumor size,bone metastasis,chemotherapy,and surgery(P<0.05).The accuracy of the nomograms was validated in the training set,validation set,and expanded testing set using ROC curves,calibration curves,and DCA curves.The results of Kaplan-Meier survival curves(P<0.001)indicated that both nomograms accurately predicted the occurrence and prognosis of DM in patients with duodenal cancer.CONCLUSION The two nomograms are expected as effective tools for predicting DM risk in duodenal cancer patients and offering personalized prognosis predictions for those with DM,potentially enhancing clinical decision-making.

Serum biomarkers for the differentiation of autoimmune pancreatitis from pancreatic ductal adenocarcinoma

Autoimmune pancreatitis(AIP),a chronic inflammation caused by the immune system attacking the pancreas,usually presents imaging and clinical features that overlap with those of pancreatic ductal adenocarcinoma(PDAC).Serum biomarkers,substances that quantitatively change in sera during disease development,are a promising non-invasive tool with high utility for differentiating between these diseases.In this way,the presence of AIP is currently suspected when serum concentrations of immunoglobulin G4(IgG4)antibody are elevated.However,this approach has some drawbacks.Notably,IgG4 antibody concentrations are also elevated in sera from some patients with PDAC.This review focuses on the most recent and relevant serum biomarkers proposed to differentiate between AIP and PDAC,evaluating the usefulness of immunoglobulins,autoantibodies,chemokines,and cytokines.The proposed serum biomarkers have proven useful,although most studies had a small sample size,did not examine their presence in patients with PDAC,or did not test them in humans.In addition,current evidence suggests that a single serum biomarker is unlikely to accurately differentiate these diseases and that a set of biomarkers will be needed to achieve adequate specificity and sensitivity,either alone or in combination with clinical data and/or radiological images.

Auto-versus allo-transplantation of the liver for end-stage alveolar echinococcosis？

＂We dreamt of it; they did it!＂ Reading the paper by WEN et al in this issue of the Chinese Medical Journal,＂ we can not help but remember when our colleague Prof. Jean-Philippe Miguet, a hepatologist who was the first at the beginning of the 1970s to review the clinical cases of alveolar echinococcosis （AE） observed in our region of Eastern France and to renew our interest in that disease, used to tell Prof. Michel Gillet,