A. macrocephala polysaccharide induces alterations to gut microbiome and serum metabolome in constipated mice.

Atractylodes macrocephala polysaccharide (AC1) is extracted from the root of the Chinese herb Atractylodes Macrocephala and is used in the treatment of constipation due to its effects on strengthening cellular immunity and regulating intestinal function. In this study, Metagenomics and Metabolomic are used to analyze the effects of AC1 on the gut microbiota and host metabolites in mice models of constipation. The results show that the abundance of Lachnospiraceae_bacterium_A4, Bact-oides_vulgatus and Prevotella_sp_CAG:891 increased significantly, indicating that AC1-targeted strain modulation effectively alleviated the dysbiosis of the gut microbiota. Besides, the microbial alterations also influenced the metabolic pathways of the mice, including tryptophan metabolism, unsaturated fatty acid synthesis and bile acid metabolism. The physiological parameters of the mice treated with AC1 are improved, such as tryptophan in the colon, 5-hydroxytryptamine (5-HT) and short-chain fatty acids (SCFAs). In conclusion, AC1 as a probiotic can regulate intestinal flora to normal levels and achieve the effect of treating constipation.

Risk factors for thromboembolic events in patients with paroxysmal nocturnal hemoglobinuria (PNH): a nested case-control study in the International PNH Registry.

The objective of this analysis was to identify risk factors for thromboembolic events (TE) in patients with paroxysmal nocturnal hemoglobinuria (PNH) who were not treated with C5 inhibitors. Patients with PNH and a history of ≥ 1 TE at enrollment in the International PNH Registry (NCT01374360; registration date, January 2011) were each matched with up to 5 patients without TE. Multivariable analysis was performed with the following variables: percentage glycosylphosphatidylinositol (GPI)-negative cells, high disease activity (HDA), non-TE major adverse vascular event history, and recent anticoagulation. Of 2541 eligible patients, 57 with TE and 189 matched controls were analyzed. Multivariable analysis (odds ratio [95% CI]) identified the following factors as being associated with increased thrombotic risk: patients with no history of TE (with recent anticoagulation, 9.30 [1.20-72.27]), patients with history of TE (with recent anticoagulation, 8.91 [0.86-92.62]; without recent anticoagulation, 5.33 [0.26-109.57]), patients with ≥ 30% GPI-negative granulocytes (≥ 30% to < 50%, 4.94 [0.54-45.32]; ≥ 50%, 1.97 [0.45-8.55]), or patients with lactate dehydrogenase (LDH) ratio ≥ 1.5 × upper limit of normal (ULN) plus ≥ 2 HDA criteria (2-3 criteria, 3.18 [0.44-23.20]; ≥ 4 criteria, 3.60 [0.38-33.95]). History of TE, ≥ 30% GPI-negative granulocytes, and LDH ratio ≥ 1.5 × ULN with ≥ 2 HDA criteria are TE risk factors for patients with PNH. These findings will aid physicians by providing important clinical and laboratory risk factors that can be used to identify and manage patients with PNH who are at risk of developing TE.

Relationship between the Ratio of Red Cell Distribution Width to Albumin and 28-Day Mortality among Chinese Patients over 80 Years with Atrial Fibrillation.

INTRODUCTION: Atrial fibrillation (AF) is a prevalent heart arrhythmia in elderly adults aged 80 years or older. The red cell distribution width (RDW) to albumin ratio has been acknowledged as a reliable prognostic marker for poor outcomes in a variety of disorders. However, there exists limited scientific evidence on the association of RDW to albumin (RAR) with mortality in geriatric individuals with AF. METHODS: From January 2015 to June 2020, a retrospective study was conducted in a tertiary academic institution that diagnosed 1,141 elderly adults with AF. The RAR value was calculated as the ratio of RDW (%) to albumin (g/dL). The potential association between RAR and cardiovascular mortality and the risk of all-cause mortality within 28 days was evaluated by means of multivariable Cox regression analysis. RESULTS: The 28-day all-cause and cardiovascular mortality rates were 8.7% and 3.3%, respectively. Increased RAR tertiles were found to be significantly associated with greater all-cause mortality (T1: 1.6%; T2: 6.2%; T3: 18.1%, p < 0.001) and cardiovascular mortality (T1: 0.8%; T2: 2.9%; T3: 6.3%, p < 0.001) using Kaplan-Meier analysis. Continuous RAR had a positive association with all-cause mortality (hazard ratios [HR] = 1.42, 95% confidence interval [CI] 1.23-1.65) and cardiovascular mortality (HR = 1.31, 95% CI: 1.05-1.64), even after accounting for numerous confounding variables. In comparison to the T1 group, individuals with the highest RAR levels displayed a greater risk of all-cause mortality (HR = 2.73, 95% CI: 1.11-6.74) and cardiovascular mortality (HR = 2.59, 95% CI: 0.69-9.78). Increased RAR levels were related to higher rates of cardiovascular and all-cause mortality across almost all subgroups. CONCLUSION: RAR is independently correlated with 28-day all-cause mortality and cardiovascular mortality in AF-affected individuals aged ≥80.

Effectiveness of Enhanced Recovery After Surgery-Based Respiratory Function Exercise in Elderly Patients with Lung Cancer and its Effect on Postoperative Functional Recovery.

Objective: To investigate the effect of enhanced recovery after surgery-based respiratory function exercise in elderly lung cancer patients and its impact on postoperative functional recovery. Methods: A total of 109 elderly lung cancer patients admitted to our hospital between January 2020 and January 2021 were included in the study. The patients were randomly assigned to either the control group (n = 52), receiving conventional care, or the research group (n = 57), receiving enhanced recovery after surgery-based respiratory function exercise in addition to conventional care. Respiratory function, functional capacity, quality of life, and incidence of pulmonary complications were compared between the two groups before and after the intervention. Results: Following the intervention, the research group showed significant improvements in Forced Expiratory Volume in the first second, Forced Vital Capacity, and Forced Expiratory Volume in the first second/Forced Vital Capacity compared to the control group (P < .05). The research group also exhibited higher Barthel indices (indicating better functional capacity) and lower St George's Respiratory Questionnaire scores (indicating better quality of life) compared to the control group (P < .05). The incidence of pulmonary complications was significantly lower in the research group (5.26%) compared to the control group (21.15%) (P < .05). Conclusions: Enhanced recovery after surgery-based respiratory function exercise can improve respiratory function, promote postoperative functional recovery, enhance the quality of life, and reduce pulmonary complications in elderly lung cancer patients. These findings support its clinical application and wider adoption.

Human splenic TER cells: A relevant prognostic factor acting via the artemin-GFRα3-ERK pathway in pancreatic ductal adenocarcinoma.

Splenectomy is routinely performed during distal or total pancreatectomy (DP or TP) for pancreatic ductal adenocarcinoma (PDAC), but information about its oncological value is limited. TER cells, nonimmune cells discovered in the spleens of tumour-bearing mice, are elicited by tumours and promote tumour progression, while their role in the clinical outcomes of patients with PDAC remains unclear. In our study, postoperative specimens from 622 patients who underwent DP or TP with splenectomy were analysed by flow cytometry or immunofluorescence, and the relationship between splenic TER cell count and clinical parameters was calculated. We also purified human TER cells for functional experiments and mechanistic studies. We found that TER cell numbers were increased only in the spleens of patients with PDAC but not in PDAC tissue and adjacent pancreatic tissue. High splenic TER cell counts independently predicted poor prognosis (P < .001) and indicated large tumour size, lymph node metastasis, advanced 8th AJCC/mAJCC stage and high CA19-9 classification (all P < .050) in patients with PDAC. Mechanistic analysis showed that TER cells express artemin, which facilitates the proliferation and invasion of PDAC cells by activating GFRα3-ERK signalling. Our study reveals that TER cell count is an indicator of poor prognosis of PDAC, while splenectomy during pancreatic surgery might provide oncological benefits in addition to ensuring the radical resection of PDAC.

Performance assessment of different machine learning approaches in predicting diabetic ketoacidosis in adults with type 1 diabetes using electronic health records data.

PURPOSE: To assess the performance of different machine learning (ML) approaches in identifying risk factors for diabetic ketoacidosis (DKA) and predicting DKA. METHODS: This study applied flexible ML (XGBoost, distributed random forest [DRF] and feedforward network) and conventional ML approaches (logistic regression and least absolute shrinkage and selection operator [LASSO]) to 3400 DKA cases and 11 780 controls nested in adults with type 1 diabetes identified from Optum® de-identified Electronic Health Record dataset (2007-2018). Area under the curve (AUC), accuracy, sensitivity and specificity were computed using fivefold cross validation, and their 95% confidence intervals (CI) were established using 1000 bootstrap samples. The importance of predictors was compared across these models. RESULTS: In the training set, XGBoost and feedforward network yielded higher AUC values (0.89 and 0.86, respectively) than logistic regression (0.83), LASSO (0.83) and DRF (0.81). However, the AUC values were similar (0.82) among these approaches in the test set (95% CI range, 0.80-0.84). While the accuracy values >0.8 and the specificity values >0.9 for all models, the sensitivity values were only 0.4. The differences in these metrics across these models were minimal in the test set. All approaches selected some known risk factors for DKA as the top 10 features. XGBoost and DRF included more laboratory measurements or vital signs compared with conventional ML approaches, while feedforward network included more social demographics. CONCLUSIONS: In our empirical study, all ML approaches demonstrated similar performance, and identified overlapping, but different, top 10 predictors. The difference in selected top predictors needs further research.

Risk of interstitial lung disease in patients treated for atrial fibrillation with dronedarone versus other antiarrhythmics.

PURPOSE: To compare risks of interstitial lung disease (ILD) between patients treated with dronedarone versus other antiarrhythmics. METHODS: Parallel retrospective cohort studies were conducted in the United States Department of Defense Military Health System database (DoD) and the HealthCore Integrated Research Database (HIRD). Study patients were treated for atrial fibrillation (AF) with dronedarone, amiodarone, sotalol, or flecainide. Propensity score matching was employed to create analysis cohorts balanced on baseline variables considered potential confounders of treatment decisions. The study period of July 20, 2008 through September 30, 2014 included a 1-year baseline and minimum 6 months of follow-up, for patients with drugs dispensed between July 20, 2009 and March 31, 2014. Suspect ILD outcomes were reviewed by independent adjudicators. Cox proportional hazards regression compared risk of confirmed ILD between dronedarone and each comparator cohort. A sensitivity analysis examined the effect of broadening the outcome definition. RESULTS: A total 72 ILD cases (52 DoD; 20 HIRD) were confirmed among 27 892 patients. ILD risk was significantly higher among amiodarone than dronedarone initiators in DoD (HR = 2.5; 95% CI = 1.1-5.3, p = 0.02). No difference was detected in HIRD (HR = 1.0; 95% CI = 0.4-2.4). Corresponding risks in sotalol and flecainide exposure groups did not differ significantly from dronedarone in either database. CONCLUSIONS: ILD risk among AF patients initiated on dronedarone therapy was comparable to or lower than that of amiodarone initiators, and similar to that of new sotalol or flecainide users. This finding suggests that elevated ILD risk associated with amiodarone does not necessarily extend to dronedarone or other antiarrhythmic drugs.

Development and validation of a predictive model algorithm to identify anaphylaxis in adults with type 2 diabetes in U.S. administrative claims data.

PURPOSE: To use medical record adjudication and predictive modeling methods to develop and validate an algorithm to identify anaphylaxis among adults with type 2 diabetes (T2D) in administrative claims. METHODS: A conventional screening algorithm that prioritized sensitivity to identify potential anaphylaxis cases was developed and consisted of diagnosis codes for anaphylaxis or relevant signs and symptoms. This algorithm was applied to adults with T2D in the HealthCore Integrated Research Database (HIRD) from 2016 to 2018. Clinical experts adjudicated anaphylaxis case status from redacted medical records. We used confirmed case status as an outcome for predictive models developed using lasso regression with 10-fold cross-validation to identify predictors and estimate the probability of confirmed anaphylaxis. RESULTS: Clinical adjudicators reviewed medical records with sufficient information from 272 adults identified by the anaphylaxis screening algorithm, which had an estimated Positive Predictive Value (PPV) of 65% (95% confidence interval [CI]: 60%-71%). The predictive model algorithm had a c-statistic of 0.95. The model's probability threshold of 0.60 excluded 89% (84/94) of false positives identified by the screening algorithm, with a PPV of 94% (95% CI: 91%-98%). The model excluded very few true positives (15 of 178), and identified 92% (95% CI: 87%-96%) of the cases selected by the screening algorithm. CONCLUSIONS: Predictive modeling techniques yielded an accurate algorithm with high PPV and sensitivity for identifying anaphylaxis in administrative claims. This algorithm could be considered in future safety studies using similar claims data to reduce potential outcome misclassification.

[Review of Medical Drainage Devices and Systems].

In clinical medicine, patient drainage monitoring and early warning have received extensive attention from the clinical medical community since they reflect the real-time status of patients. Firstly, this study points out the shortcomings of current medical drainage technology combined with actual clinical applications and proposes a detailed analysis of the current medical drainage monitoring technology and medical drainage equipment. Secondly, this study focuses on cloud medical, intelligent medical and other digital intelligent medical development. Combined with advanced artificial intelligence technology and cloud data processing technology, this study is proposed to realize the clinical promotion, and popularization of medical drainage technology and promote the medical industry's attention to the realization of comprehensive and intelligent drainage monitoring.

CXCR4 antagonist alleviates proliferation and collagen synthesis of cardiac fibroblasts induced by TGF-ß1.

We aimed to investigate the effects of CX-C chemokine receptor type 4 (CXCR4) on transforming growth factor (TGF)-ß1-induced cardiac fibrosis in Human cardiac fibroblasts (HCFs). HCFs were stimulated with TGF-ß1, and the level of α-smooth muscle actin (α-SMA) was assessed by immunofluorescence assay. The expression of CXCR4 was detected by Western blotting. Then the cells were incubated with CXCR4 antagonist AMD 3465. Cell viability was measured by CCK-8 assay. The expression of α-SMA, proliferating cell nuclear antigen (PCNA) and Ki67 were examined. Collagen synthesis was detected by sirius red staining. Moreover, the expression of phpspho-Smad2 (p-Smad2) and p-Smad3 were determined. We found that the level of α-SMA was increased after induction with TGF-ß1. The expression of CXCR4 was upregulated in TGF-ß1-treated HCFs. Following treatment with AMD 3465, cell proliferation was inhibited coupled with a decrease in PCNA and Ki67 expression. Additionally, the expression of α-SMA was decreased after being intervened with AMD 3465. Concurrently, the levels of collagen were reduced accompanied by downregulation of Collagen I and III. Furthermore, AMD 3465 treatment decreased the expression of p-Smad2 and p-Smad3. Our findings suggested that CXCR4 antagonist AMD 3465 could alleviate cardiac fibrosis via blocking TGF-ß1-induced activation of Smad2/3 in HCFs.

Higenamine protects neuronal cells from oxygen-glucose deprivation/reoxygenation-induced injury.

Higenamine, a plant-based alkaloid, exhibits various properties, such as antiapoptotic and antioxidative effects. Previous studies proved that higenamine possesses potential therapeutic effects for ischemia/reperfusion (I/R) injuries. However, the role of higenamine in cerebral I/R injury has not been fully evaluated. Therefore, we aimed to investigate the effect of higenamine on cerebral I/R injury and the potential mechanism. Our data showed that higenamine ameliorated oxygen-glucose deprivation/reperfusion (OGD/R)-induced neuronal cells injury. Induction of reactive oxygen species and malonaldehyde production, and the inhibition of superoxide dismutase and glutathione peroxidase activity caused by OGD/R were attenuated by higenamine. In addition, higenamine inhibited the increases in caspase-3 activity and Bax expression, and inhibited the decrease in Bcl-2 expression. Furthermore, higenamine elevated the expression levels of p-Akt, heme oxygenase-1 (HO-1) and nuclear factor erythroid 2-related factor 2 (Nrf2). The inhibitor of PI3K/Akt (LY294002) abolished the protective effects of higenamine on OGD/R-induced neuronal cells. These findings indicated that higenamine protects neuronal cells against OGD/R-induced injury by regulating the Akt and Nrf2/HO-1-signaling pathways. Collectively, higenamine might be considered as new strategy for the prevention and treatment of cerebral I/R injury.

Angiogenesis in pancreatic cancer: current research status and clinical implications.

Pancreatic cancer is one of the most lethal malignancies worldwide. Although the standard of care in pancreatic cancer has improved, prognoses for patients remain poor with a 5-year survival rate of < 5%. Angiogenesis, namely, the formation of new blood vessels from pre-existing vessels, is an important event in tumor growth and hematogenous metastasis. It is a dynamic and complex process involving multiple mechanisms and is regulated by various molecules. Inhibition of angiogenesis has been an established therapeutic strategy for many solid tumors. However, clinical outcomes are far from satisfying for pancreatic cancer patients receiving anti-angiogenic therapies. In this review, we summarize the current status of angiogenesis in pancreatic cancer research and explore the reasons for the poor efficacy of anti-angiogenic therapies, aiming to identify some potential therapeutic targets that may enhance the effectiveness of anti-angiogenic treatments.

Tumor-Infiltrating NETs Predict Postsurgical Survival in Patients with Pancreatic Ductal Adenocarcinoma.

BACKGROUND: Tumor-infiltrating neutrophils (TINs) indicate poor prognosis for patients with pancreatic ductal adenocarcinoma (PDAC). Activated neutrophils can generate neutrophil extracellular traps (NETs). Little is known about the presence and prognostic significance of tumor-infiltrating NETs in PDAC. METHODS: This study enrolled 317 patients, in two independent sets (training and validation), who underwent curative pancreatectomy for PDAC in Shanghai Cancer Center. TINs and NETs were identified by immunohistochemical staining for CD15 and citrullinated histone H3, respectively. The relationship between clinicopathological features and outcomes was analyzed. Accuracy of prognostic prediction models was evaluated using concordance index (C-index) and Akaike information criterion (AIC). RESULTS: NETs were associated with OS (both, P < 0.001) and RFS (both, P < 0.001) in the training and validation sets. Tumor-infiltrating NETs predicted poor postsurgical survival of patients with PDAC. Moreover, multivariate analysis identified NETs and AJCC TNM stage as two independent prognostic factors for OS and RFS. Combination of NETs with the 8th edition TNM staging system (C-index, 0.6994 and 0.6669, respectively; AIC, 1067 and 1126, respectively) generated a novel model that improved the predictive accuracy for survival in both sets (C-index, 0.7254 and 0.7117, respectively; AIC, 1047 and 1102, respectively). The model combining presence of NETs with the 7th edition AJCC TNM staging system also had improved predictive accuracy. CONCLUSIONS: NETs were an independent prognostic factor in PDAC and incorporation of NETs along with the standard TNM stating system refined risk-stratification and predicted survival in PDAC with improved accuracy.

Distinct clinicopathological and prognostic features of insulinoma with synchronous distant metastasis.

BACKGROUND: The clinicopathological and prognostic features of insulinoma with synchronous metastases are unclear. This study aimed to verify the distinct clinicopathological and prognostic features of insulinoma with synchronous distant metastasis. METHODS: Patients with pancreatic neuroendocrine tumor (PanNET) were retrospectively enrolled and divided into cohort 1 (Fudan University Shanghai Cancer Center) and cohort 2 (Surveillance, Epidemiology, and End Results Program database). Both cohorts were further divided into three subgroups: insulinoma, nonfunctioning pancreatic neuroendocrine tumor (NF-PanNET), and non-insulinoma functioning pancreatic neuroendocrine tumor (NiF-PanNET). RESULTS: Cohorts 1 and 2 comprised 505 and 2761 patients (1566 M0 patients and 1195 M1 patients), respectively. In cohort 1 and cohort 2 M0 subgroup, insulinoma showed longer disease-free survival, overall survival (OS), and disease-specific survival (DSS) than NiF-PanNET and NF-PanNET (not reached vs. 48 and 60months, p < 0.001; 183months vs. 87 and 109months, p < 0.001; 247months vs. 121 and 140months, p = 0.002). However, in cohort 2 M1, the mDSS for metastatic insulinoma was shorter than that for NiF-PanNET (31months vs. 61months, p = 0.045), while the mDSS and mOS were similar to those for NF-PanNET. The percentage of T1 and N0 patients was similar between the metastatic insulinoma subgroup and NiF-PanNET and NF-PanNET subgroups. The Ki-67 index and recurrence had a positive linear relationship only for NiF-PanNET and NF-PanNET (p = 0.009). CONCLUSIONS: Insulinoma with synchronous metastasis showed clinicopathological and prognostic characteristics similar to those of NF-PanNET. Metastatic insulinoma had worse prognosis than non-insulinoma F-PanNET. These findings may help in the clinical management of metastatic insulinoma.

Intrinsic Contact Between T and N Classifications in Resected Well-Moderately Differentiated Locoregional Pancreatic Neuroendocrine Neoplasms.

BACKGROUND: The role of N classification is controversial in several prognostication systems proposed for pancreatic neuroendocrine neoplasms (pNENs). The widely accepted modified European Neuroendocrine Tumor Society (mENETS) system suggests this contradiction may be related to T classification. METHODS: Data were collected retrospectively from 981 patients in the Surveillance, Epidemiology, and End Results (SEER) database (1973-2012; cohort 1) and 140 patients from the Pancreatic Cancer Institute of Fudan University (2006-2016; cohort 2). All patients had resected well- to moderately differentiated locoregional pNENs, whereby the mENETS system was adopted. Factors related to N1 classification and the association between N and T classifications were analyzed, and N classification prognosis based on T classification was assessed. RESULTS: In cohorts 1 and 2, tumor size (2-4 cm: p < 0.001 and p = 0.037, respectively; > 4 cm: p < 0.001 and p = 0.012, respectively) and tumors extending beyond the pancreas (p < 0.001 and p = 0.016, respectively), which are factors for T classification, affected N1 classification. For tumors limited to the pancreas, the N1 classification was associated with tumor size (p < 0.001 and p = 0.046, respectively) and predicted poor disease-specific survival (DSS), while for tumors extending beyond the pancreas, the N1 classification did not affect patient outcomes. Findings obtained with data from the SEER database were reproducible with our institutional data. CONCLUSIONS: N classification is associated with T classification, limiting the value of N1 classification for the pNENs tumor-node-metastasis system. A new risk model is necessary to predict patient outcomes and guide clinical practice for the prognosis of pNENs.

Tumor-Infiltrating Platelets Predict Postsurgical Survival in Patients with Pancreatic Ductal Adenocarcinoma.

BACKGROUND: Platelets are believed to promote tumor growth and metastasis in several tumor types. The prognostic role of blood platelets in pancreatic ductal adenocarcinoma (PDAC) remains controversial, and the prognostic value of tumor-infiltrating platelets (TIPs) remains unknown. METHODS: A total of 303 patients who underwent curative pancreatectomy for PDAC were enrolled from two independent centers in China and divided into three cohorts. Paired preoperative blood samples and surgical specimens from all patients were analyzed. The correlations between patient outcomes and preoperative blood platelet counts and the presence of TIPs, respectively, were analyzed. TIPs were identified by immunohistochemical staining of CD42b. Prognostic accuracy was estimated by concordance index (C-index) and Akaike information criterion (AIC). RESULTS: TIPs, but not preoperative blood platelet counts, were associated with overall survival (OS; all P < 0.001) and recurrence-free survival (RFS; all P < 0.001) in the training, testing, and validation sets. Positive CD42b expression predicted poor postsurgical survival. Incorporation of TIPs improved the predictive accuracy of the 8th edition American Joint Committee on Cancer (AJCC) tumor-node-metastasis (TNM) staging system for OS in each of the three cohorts (C-index: 0.7164, 0.7569, and 0.7050, respectively; AIC: 472, 386, and 1019, respectively). The new predictor system was validated by incorporating TIPs with the 7th edition AJCC TNM staging system (C-index: 0.7052, 0.7623, and 0.7157; AIC: 476, 386, and 1015). CONCLUSION: TIPs were an independent prognostic factor that could be incorporated into the AJCC TNM staging system to refine risk stratification and predict surgical outcomes of patients with PDAC.

Postoperative serum CA19-9, CEA and CA125 predicts the response to adjuvant chemoradiotherapy following radical resection in pancreatic adenocarcinoma.

OBJECTIVE: To evaluate the prediction of benefits from adjuvant chemoradiotherapy by postoperative serum CA19-9, CA125 and CEA. METHODS: The relations between benefits from adjuvant chemoradiotherapy and levels of postoperative serum CA19-9, CA125 and CEA were investigated in 804 pancreatic adenocarcinoma patients who received radical resection. RESULTS: Adjuvant chemoradiotherapy was an independent factor for late recurrence [12.2 vs. 8.5 months, P = 0.001 for recurrence free survival (RFS)] and long survival [23.7 vs. 17.0 months, P < 0.001 for overall survival (OS)] in resected pancreatic adenocarcinoma. Postoperative serum CA19-9, CA125 and CEA were independent risk predictors for poor surgical outcome in pancreatic adenocarcinoma (P < 0.001 for all). Adjuvant chemradiotherapy (hazard ratio: 0.359, 95% confidence interval: 0.253-0.510, P < 0.001 for OS; hazard ratio: 0.522, 95% confidence interval: 0.387-0.705, P < 0.001 for RFS) were confirmed to improve the surgical outcome in patients with abnormal levels of any one of the three postoperative markers, but not in patients with normal levels of the three postoperative markers. In the subgroup of patients with negative lymph node, its improvement of surgical outcome was also significant in patients with abnormal levels of any one of postoperative serum CA19-9, CA125 and CEA (hazard ratio: 0.412, 95% confidence interval: 0.244-0.698, P = 0.001 for OS; hazard ratio: 0.546, 95% confidence interval: 0.352-0.847, P = 0.007 for RFS). CONCLUSION: Postoperative serum CA19-9, CA125 and CEA could serve as predictors of response for adjuvant chemoradiotherapy even if the status of lymph nodes is negative.

The clinicopathological and prognostic significance of PD-L1 expression in pancreatic cancer: A meta-analysis.

BACKGROUND: Immunotherapy has shown promise against solid tumors. However, the clinical significance of programmed cell death 1 (PD-1) and programmed cell death ligand 1 (PD-L1) in pancreatic ductal adenocarcinoma (PDAC) remains unclear. This meta-analysis aimed to analyze the prognostic effect of PD-L1 in PDAC. DATA SOURCES: Electronic search of the PubMed, Cochrane Library and Web of Science was performed until December 2016. Through database searches, we identified articles describing the relationship between PD-L1 status and PDAC patient prognosis. Meta-analysis was performed to investigate the relationship between PD-1 and overall survival (OS). RESULTS: Nine studies with 989 PDAC patients were included for PD-L1 expression analysis. And 5 studies with 688 PDAC patients were included in the prognostic analysis. The PD-L1 positive rate measured by immunohistochemistry (IHC) was higher than that measured by polymerase chain reaction (PCR) (P < 0.001). PDAC patients with high expression levels of PD-L1 had significantly reduced OS (HR = 2.34; 95% CI: 1.78-3.08). Subgroup analysis showed that the prognostic effect of PD-L1 levels was similar between the IHC and PCR methods. The PD-L1 positive rate was associated with PDAC T stages; the PD-L1 positive rate in the T3-4 group was higher than that in the T1-2 group (OR = 0.37; P = 0.001). CONCLUSIONS: High PD-L1 expression levels predicted a poor prognosis in PDAC patients. Thus, PD-L1 status helps determine treatment in PDAC patients.

A preoperative serum signature of CEA+/CA125+/CA19-9 ≥ 1000 U/mL indicates poor outcome to pancreatectomy for pancreatic cancer.

Pancreatectomy is associated with significant morbidity and unpredictable outcome, with few diagnostic tools to determine, which patients gain the most benefit from this treatment, especially before the operation. This study aimed to define a preoperative signature panel of serum markers to indicate response to pancreatectomy for pancreatic cancer. Over 1000 patients with pancreatic cancer treated at two independent high-volume institutions were included in this study and were divided into three groups, including resected, locally advanced and metastatic. Eight serum tumor markers most commonly used in gastrointestinal cancers were analyzed for patient outcome. Preoperative CA19-9 independently indicated surgical response in pancreatic cancer. Patients with CA19-9 ≥1000 U/mL generally had a poor surgical benefit. However, a subset of these patients still achieved a survival advantage when CA19-9 levels decreased postoperatively. CEA and CA125 in the presence of CA19-9 ≥1000 U/mL could independently predict the non-decrease of CA19-9 postoperatively. The combination of the three markers was useful for predicting a worse surgical outcome with a median survival of 5.1 months vs. 23.0 months (p < 0.001) for the training cohort and 7.0 months vs. 18.2 months (p < 0.001) for the validation cohort and also suggested a higher prevalence of early distant metastasis after surgery. Resected patients with this proposed signature showed no survival advantage over patients in the locally advanced group who did not receive pancreatectomy. Therefore, a preoperative serum signature of CEA(+)/CA125(+)/CA19-9 ≥1000 U/mL is associated with poor surgical outcome and can be used to select appropriate patients with pancreatic cancer for pancreatectomy.