Exposure to Polybrominated Diphenyl Ethers and Risk of All-Cause and Cause-Specific Mortality.

Importance: Polybrominated diphenyl ethers (PBDEs) are an important group of persistent organic pollutants with endocrine-disrupting properties. However, prospective cohort studies regarding the association of PBDE exposure with long-term health outcomes, particularly mortality, are lacking. Objective: To examine the association of environmental exposure to PBDEs with risk of all-cause and cause-specific mortality. Design, Setting, and Participants: This nationally representative cohort study used data from the National Health and Nutrition Examination Survey 2003 to 2004 and linked mortality information through December 31, 2019. Adults aged 20 years or older with available data on PBDE measurements and mortality were included. Statistical analysis was performed from February 2022 to April 2023. Exposures: PBDE analytes in serum samples were measured using solid phase extraction and isotope dilution gas chromatography high-resolution mass spectrometry. Main Outcomes and Measures: All-cause mortality, cancer mortality, and cardiovascular mortality. Results: This study included 1100 participants (mean [SE] age, 42.9 [0.6] years; proportion [SE] female, 51.8% [1.6%]; proportion [SE] Hispanic, 12.9% [2.7%]; proportion [SE] non-Hispanic Black, 10.5% [1.6%]; proportion [SE] non-Hispanic White, 70.8% [3.7%]; proportion [SE] other race and ethnicity, 5.8% [1.1%]). During 16 162 person-years of follow-up (median [IQR] follow-up, 15.8 [15.2-16.3] years; maximum follow-up, 17 years), 199 deaths occurred. Participants with higher serum PBDE levels were at higher risk for death. After adjustment for age, sex, and race and ethnicity, lifestyle and socioeconomic factors, and body mass index, participants with the highest tertile of serum PBDE levels had an approximately 300% increased risk of cancer mortality (HR, 4.09 [95% CI, 1.71-9.79]) compared with those with the lowest tertile of serum PBDE levels. No significant association of PBDE exposure with all-cause mortality (HR, 1.43 [95% CI, 0.98-2.07]) or cardiovascular mortality (HR, 0.92 [95% CI, 0.41-2.08]) was observed. Conclusions and Relevance: In this nationally representative cohort study, PBDE exposure was significantly associated with an increased risk of cancer mortality. Further studies are needed to replicate the findings and determine the underlying mechanisms.

Outcomes of Robotic Versus Laparoscopic Pancreatoduodenectomy Following Learning Curves of Surgeons: A Multicenter Study on 2255 Patients.

OBJECTIVE: This study aimed to compare robotic pancreatoduodenectomy (RPD) with laparoscopic pancreatoduodenectomy (LPD) in operative and oncologic outcomes. BACKGROUND: Previous studies comparing RPD with LPD have only been carried out in small, single-center studies with variable quality. METHODS: Consecutive patients from nine centers in China who underwent RPD or LPD between 2015 and 2022 were included. A 1:1 propensity score matching (PSM) was used to minimize bias. RESULTS: Of the 2,255 patients, 1158 underwent RPD and 1097 underwent LPD. Following PSM, 1006 patients were enrolled in each group. The RPD group had significantly shorter operative time (270.0 vs. 305.0 minutes, P<0.001), lower intraoperative blood transfusion rate (5.9% vs. 12.0%, P<0.001), lower conversion rate (3.8% vs. 6.7%, P=0.004), and higher vascular reconstruction rate (7.9% vs. 5.6%, P=0.040) than the LPD group. There were no significant differences in estimated blood loss, postoperative length of stay, perioperative complications, and 90-day mortality. Patients who underwent vascular reconstruction had similar outcomes between the two groups, although they had significantly lower estimated blood loss (300.0 vs. 360.0 mL; P=0.021) in the RPD group. Subgroup analysis on pancreatic ductal adenocarcinoma (PDAC) found no significant differences between the two groups in median recurrence-free survival (14.3 vs. 15.3 mo, P=0.573) and overall survival (24.1 vs. 23.7 mo, P=0.710). CONCLUSIONS: In experienced hands, both RPD and LPD are safe and feasible procedures with similar surgical outcomes. RPD had the perioperative advantage over LPD especially in vascular reconstruction. For PDAC patients, RPD resulted in similar oncological and survival outcomes as LPD.

Robotic versus laparoscopic surgery for sporadic benign insulinoma: Short- and long-term outcomes.

BACKGROUND: Minimally invasive surgery is the optimal treatment for insulinoma. The present study aimed to compare short- and long-term outcomes of laparoscopic and robotic surgery for sporadic benign insulinoma. METHODS: A retrospective analysis of patients who underwent laparoscopic or robotic surgery for insulinoma at our center between September 2007 and December 2019 was conducted. The demographic, perioperative and postoperative follow-up results were compared between the laparoscopic and robotic groups. RESULTS: A total of 85 patients were enrolled, including 36 with laparoscopic approach and 49 with robotic approach. Enucleation was the preferred surgical procedure. Fifty-nine patients (69.4%) underwent enucleation; among them, 26 and 33 patients underwent laparoscopic and robotic surgery, respectively. Robotic enucleation had a lower conversion rate to laparotomy (0 vs. 19.2%, P = 0.013), shorter operative time (102.0 vs. 145.5 min, P = 0.008) and shorter postoperative hospital stay (6.0 vs. 8.5 d, P = 0.002) than laparoscopic enucleation. There were no differences between the groups in terms of intraoperative blood loss, the rates of postoperative pancreatic fistula and complications. After a median follow-up of 65 months, two patients in the laparoscopic group developed a functional recurrence and none of the patients in the robotic group had a recurrence. CONCLUSIONS: Robotic enucleation can reduce the conversion rate to laparotomy and shorten operative time, which might lead to a reduction in postoperative hospital stay.

Early and late recurrence patterns of pancreatic ductal adenocarcinoma after pancreaticoduodenectomy: a multicenter study.

BACKGROUND: Survival after pancreaticoduodenectomy (PD) for pancreatic ductal adenocarcinoma (PDAC) remains poor because of high incidences of recurrence. The risk factors, patterns, and long-term prognosis in patients with early recurrence and late recurrence (ER and LR) for PDAC after PD were studied. METHODS: Data from patients who underwent PD for PDAC were analyzed. Recurrence was divided into ER (ER ≤1 years) and LR (LR >1 years) using the time to recurrence after surgery. Characteristics and patterns of initial recurrence, and postrecurrence survival (PRS) were compared between patients with ER and LR. RESULTS: Among the 634 patients, 281 (44.3%) and 249 (39.3%) patients developed ER and LR, respectively. In the multivariate analysis, preoperative CA19-9 levels, resection margin status, and tumor differentiation were significantly associated with both ER and LR, while lymph node metastasis and perineal invasion were associated with LR. Patients with ER, when compared with patients with LR, showed a significantly higher proportion of liver-only recurrence ( P <0.05), and worse median PRS (5.2 vs. 9.3 months, P <0.001). Lung-only recurrence had a significantly longer PRS when compared with liver-only recurrence ( P <0.001). Multivariate analysis demonstrated that ER and irregular postoperative recurrence surveillance were independently associated with a worse prognosis ( P <0.001). CONCLUSION: The risk factors for ER and LR after PD are different for PDAC patients. Patients who developed ER had worse PRS than those who developed LR. Patients with lung-only recurrence had a significantly better prognosis than those with other recurrent sites.

Combined immunotherapy for metastatic triple-negative breast cancer based on PD-1/PD-L1 immune checkpoint blocking.

Metastatic triple negative breast cancer is not only the worst prognosis and the strongest invasive subtype of breast cancer, but also the most immunogenic subtype, so it can be reasonably predicted that immunotherapy can play a positive role in the treatment of metastatic triple negative breast cancer. However, the effect of using PD-1/PD-L1 immune checkpoint inhibitors alone is not very ideal. In recent years, the regimen of combined therapy has been emerging. This article reviews the application of combined immunotherapy based on PD-1/PD-L1 inhibitors in metastatic triple negative breast cancer, including chemotherapy, targeted therapy, radiotherapy and oncolytic virus therapy. The problems existing in combined therapy and the possibility of future research are discussed, which can provide a reference for the selection of treatment options for patients with metastatic triple negative breast cancer in different situations.

Intracranial tumors mimicking benign paroxysmal positional vertigo: A case series.

Background: A few intracranial lesions may present only with positional vertigo which are very easy to misdiagnose as benign paroxysmal positional vertigo (BPPV); the clinicians should pay more attention to this disease. Objectives: To analyze the clinical characteristics of 6 patients with intracranial tumors who only presented with positional vertigo to avoid misdiagnosing the disease. Material and methods: Six patients with intracranial tumors who only presented with positional vertigo treated in our clinic between May 2015 to May 2019 were reviewed, and the clinical symptoms, features of nystagmus, imaging presentation, and final diagnosis of the patients were evaluated. Results: All patients presented with positional vertigo and positional nystagmus induced by the changes in head position or posture, including one case with downbeating nystagmus in a positional test, two cases with left-beating nystagmus, one case with apogeotropic nystagmus in a roll test, one case with right-beating nystagmus, and one case with left-beating and upbeating nystagmus. Brain MRI showed the regions of the tumors were in the vermis of the cerebellum, the fourth ventricle, the lateral ventricle, and the cerebellar hemisphere.

Design of stapled peptide-based PROTACs for MDM2/MDMX atypical degradation and tumor suppression.

Rationale: Although stapled peptides offer a powerful solution to overcome the susceptibility of linear peptides to proteolytic degradation and improve their ability to cross membranes, an efficient and durable disease treatment strategy has not yet been developed due to the inevitable elimination of peptide inhibitors and rapid accumulation of target proteins. Methods: Herein we developed stapled peptide-based proteolysis-targeting chimeras (SP-PROTACs), that simultaneously exhibited improved cellular uptake and proteolytic stability attributed to the stapled peptides, and efficient target protein degradation promoted by the PROTACs. Based on the PMI peptide with dual specificity for both MDM2 and MDMX, a series of SP-PROTACs were designed. Results: Among them, the optimized SPMI-HIF2-1 exhibited similar binding affinity with MDM2 and MDMX but obviously higher helical contents, improved proteolytic stability, better cellular permeability, and a better pharmacokinetic profile compared with its linear counterpart. Importantly, SPMI-HIF2-1 could effectively kill cancer cells and inhibit tumor progression in subcutaneous and orthotopic colorectal cancer xenograft models through simultaneously promoting the atypical degradation of both MDM2 and MDMX and durable p53 activation. An FP-based binding assay and structural modeling analysis of the ternary complex suggested that SPMI-HIF2-1 simultaneously bound with the target protein and E3 ligase. Conclusion: Our findings not only provide a new class of anticancer drug candidates, but also bridge the gap and reduce the physical distance between peptides and PROTACs.

A novel online calculator to predict early recurrence and long-term survival of patients with resectable pancreatic ductal adenocarcinoma after pancreaticoduodenectomy: A multicenter study.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is prone to relapse even after radical pancreaticoduodenectomy (PD) (including robotic, laparoscopic and open approach). This study aimed to develop an online nomogram calculator to predict early recurrence (ER) (within one year after surgery) and long-term survival in patients with PDAC. METHODS: Patients with PDAC after radical PD were included. Univariate and multivariate logistic regression analysis was used to identify independent risk factors. An online nomogram calculator was developed based on independent risk factors in the training cohort and then tested in the internal and external validation cohorts. RESULTS: Of the 569 patients who met the inclusion criteria, 310, 155, and 104 patients were in the training, internal and external validation cohorts, respectively. Multivariate analysis revealed that preoperative carbohydrate antigen19-9 (CA19-9) [Odds Ratio (OR) 1.002; 95% confidence interval (CI) 1.001-1.003; P = 0.001], fibrinogen/albumin (FAR) (OR 1.132; 95% CI 1.012-1.266; P = 0.029), N stage (OR 2.291; 95% CI 1.283-4.092; P = 0.005), and tumor differentiation (OR 3.321; 95% CI 1.278-8.631; P = 0.014) were independent risk factors for ER. Nomogram based on the above four factors achieved good C-statistics of 0.772, 0.767 and 0.765 in predicting ER in the training, internal and external validation cohorts, respectively. Time-dependent ROC analysis (timeROC) and decision curve analysis (DCA) revealed that the nomogram provided superior diagnostic capacity and net benefit compared with other staging systems. CONCLUSION: This multi-center study developed and validated an online nomogram calculator that can predict ER and long-term survival in patients with PDAC with high degrees of stability and accuracy.

Novel STAT3 Inhibitors Targeting STAT3 Dimerization by Binding to the STAT3 SH2 Domain.

Our drug discovery model has identified two novel STAT3 SH2 domain inhibitors 323-1 and 323-2 (delavatine A stereoisomers) in a series of experiments. In silico computational modeling, drug affinity responsive target stability (DARTS), and fluorescence polarization (FP) assays altogether determined that 323-1 and 323-2 directly target the STAT3 SH2 domain and inhibited both phosphorylated and non-phosphorylated STAT3 dimerization. Computational docking predicted that compound 323s bind to three subpockets of the STAT3 SH2 domain. The 323s inhibition of STAT3 dimerization was more potent than the commercial STAT3 SH2 domain inhibitor S3I-201 in the co-immunoprecipitation assay, correlating with computational docking data. The fluorescence polarization assay further confirmed that the compound 323s target the STAT3 SH2 domain by competitively abrogating the interaction between STAT3 and the SH2-binding peptide GpYLPQTV. Compared with S3I-201, the 323 compounds exhibited stronger inhibition of STAT3 and reduced the level of IL-6-stimulated phosphorylation of STAT3 (Tyr705) in LNCaP cells over the phosphorylation of STAT1 (Tyr701) induced by IFN-É£ in PC3 cells or the phosphorylation of STAT1 (Ser727) in DU145 cells. Both compounds downregulated STAT3 target genes MCL1 and cyclin D1. Thus, the two compounds are promising lead compounds for the treatment of cancers with hyper-activated STAT3.

Study on the mechanism of Huangqin Decoction on rats with ulcerative colitis of damp-heat type base on mtDNA, TLR4, p-PI3K, p-Akt protein expression and microbiota.

ETHNOPHARMACOLOGICAL RELEVANCE: Huangqin decoction (HQD), composed of Scutellaria(Huangqin), Peony(Shaoyao), Liquorice(Gancao) and Jujube(Dazao), is a traditional Chinese medicine prescription, originated from treatise on Febrile Diseases, has the functions of clearing heat, stopping benefits and relieving pain. It is the original prescription for treating heat and relieving dysentery, and is commonly used in clinic for diarrhea and other diseases. In ulcerative colitis, damp-heat syndrome is the most common. However, its mechanism of action is not completely clear. AIMS OF THE REVIEW: The purpose of the research is to investigate the protective effect of HQD on ulcerative colitis rats and the regulation effect of mitochondrial DNA, TLR4, p-Akt, p-PI3K protein and microbiota. MATERIALS AND METHODS: The effects of HQD anti-UC were investigated by fluorescence quantitative PCR, cytokine level and histopathological analysis in DSS-induced ulcerative colitis (UC) rats. The content of mtDNA in colon epithelial cells of rats in each group was detected by fluorescence quantitative PCR, p-PI3K, p-Akt and TLR4 protein expressions in colon tissues of rats in each group were detected by Western blotting. IL-6, IL-17 and IL-23 inflammatory factors were detected by ELISA. The effect of HQD on intestinal microbiota of rats with ulcerative colitis was studied by high-throughput sequencing technology, and the correlation between mtDNA level and inflammatory factors as well as protein expression in colonic epithelium of rats with ulcerative colitis was analyzed by SPSS23.0. RESULTS: HQD significantly alleviated UC symptoms by improving the mucosal intestinal epithelial cell structure, mental state, hair gloss, fecal occult blood, lamina propria intestinal glands and inflammatory cell infiltration. And HQD reduced the pro-inflammatory cytokines in the colonic epithelium of UC rats Production of IL-6, IL-17 and IL-23. The HE stained section of colon tissue showed a complete intestinal epithelial mucosal layer structure. The structure of epithelial cells was more normal and abundant. There were more goblet cells in lamina propria adenoma, which improved the infiltration of inflammatory cells. HQD significantly inhibited the mtDNA content in rat colonic epithelial tissue, and significantly inhibited the expression of TLR4, p-PI3K and p-Akt inflammatory signaling pathways. The results of the microbiota experiment showed that the abundance of HQD in the phylum Firmicutes increased, and the number of Bacteroides phylum decreased (p < 0.05). At the genus level, HQD significantly increased Lactobacillus and Firmicutes Bacteroides, while Treponema and Bacteroides were significantly reduced (p < 0.05). CONCLUSION: HQD has a certain protective effect on rats with damp heat ulcerative colitis. Its mechanism may be related to regulating the expression of p-PI3K, p-Akt and TLR4 proteins, mitochondrial DNA as well as microbiota.

Robotic versus open pancreaticoduodenectomy for distal cholangiocarcinoma: a multicenter propensity score-matched study.

BACKGROUND: Pancreatoduodenectomy is the only potentially curative treatment for distal cholangiocarcinoma (DCC). In this study, we sought to compare the perioperative and oncological outcomes of robotic pancreaticoduodenectomy (RPD) and open pancreaticoduodenectomy (OPD) based on a multicenter propensity score-matched study. METHODS: Consecutive patients with DCC who underwent RPD or OPD from five centers in China between January 2014 and June 2019 were included. A 1:1 propensity score matching (PSM) was performed. 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: A total of 217 patients and 228 patients underwent RPD and OPD, respectively. After PSM, 180 patients in each group were enrolled. There were no significant differences in operative time, lymph node harvest, intraoperative transfusion, vascular resection, R0 resection, postoperative major morbidity, reoperation, 90-day mortality, and long-term survival between the two groups before and after PSM. Whereas, compared with the OPD group, the RPD group had significantly lower estimated blood loss (150.0 ml vs. 250.0 ml; P < 0.001), and a shorter postoperative length of stay (LOS) (12.0 days vs. 15.0 days; P < 0.001). Multivariable analysis showed carbohydrate antigen 19-9 (CA19-9), R0 resection, N stage, perineural invasion, and tumor differentiation significantly associated with OS and RFS of these patients. CONCLUSIONS: RPD was comparable to OPD in feasibility and safety. For patients with DCC, RPD resulted in similar oncologic and survival outcomes as OPD.

Generating synthesized computed tomography from CBCT using a conditional generative adversarial network for head and neck cancer patients.

Purpose: To overcome the imaging artifacts and Hounsfield unit inaccuracy limitations of cone-beam computed tomography, a conditional generative adversarial network is proposed to synthesize high-quality computed tomography-like images from cone-beam computed tomography images. Methods: A total of 120 paired cone-beam computed tomography and computed tomography scans of patients with head and neck cancer who were treated during January 2019 and December 2020 retrospectively collected; the scans of 90 patients were assembled into training and validation datasets, and the scans of 30 patients were used in testing datasets. The proposed method integrates a U-Net backbone architecture with residual blocks into a conditional generative adversarial network framework to learn a mapping from cone-beam computed tomography images to pair planning computed tomography images. The mean absolute error, root-mean-square error, structural similarity index, and peak signal-to-noise ratio were used to assess the performance of this method compared with U-Net and CycleGAN. Results: The synthesized computed tomography images produced by the conditional generative adversarial network were visually similar to planning computed tomography images. The mean absolute error, root-mean-square error, structural similarity index, and peak signal-to-noise ratio calculated from test images generated by conditional generative adversarial network were all significantly different than CycleGAN and U-Net. The mean absolute error, root-mean-square error, structural similarity index, and peak signal-to-noise ratio values between the synthesized computed tomography and the reference computed tomography were 16.75 ± 11.07 Hounsfield unit, 58.15 ± 28.64 Hounsfield unit, 0.92 ± 0.04, and 30.58 ± 3.86 dB in conditional generative adversarial network, 20.66 ± 12.15 Hounsfield unit, 66.53 ± 29.73 Hounsfield unit, 0.90 ± 0.05, and 29.29 ± 3.49 dB in CycleGAN, and 16.82 ± 10.99 Hounsfield unit, 58.68 ± 28.34 Hounsfield unit, 0.92 ± 0.04, and 30.48 ± 3.83 dB in U-Net, respectively. Conclusions: The synthesized computed tomography generated from the cone-beam computed tomography-based conditional generative adversarial network method has accurate computed tomography numbers while keeping the same anatomical structure as cone-beam computed tomography. It can be used effectively for quantitative applications in radiotherapy.

Associations of Clinical and Molecular Characteristics with the Response to Immune Checkpoint Blockade in Advanced Gastric Cancers.

Purpose: Immunotherapy provides a new treatment option for advanced gastric cancer (AGC). This study aims to explore the response markers of immunotherapy in AGCs. Methods: Next-generation sequencing was performed on 44 AGC patients who received immune checkpoint inhibitors and the associations between their outcomes after combination immunotherapy, and the clinicopathological/molecular characteristics were analyzed. Results: The current study cohort had a median progression-free survival (PFS) of 5.9 months, an overall survival (OS) of 12.1 months, and an objective response rate (ORR) of 36.4%. Through multivariable analysis of the clinical characteristics, primary tumor resection (HR = 2.66, 95% CI: 1.06-6.70, p=0.037) and increased proportion of lymphocytes after combination immunotherapy (HR = 0.40, 95% CI: 0.16-0.99, p=0.048) were revealed as independent predictors for patient outcomes. All the 18 patients who underwent genetic profiling were microsatellite-stable with a median TMB of four mutations per Mb. ATM alterations, PI3K pathway mutations, increased TMB, and positive PD-L1 expression were associated with the increased trend of PFS and ORR. According to the combination of baseline lymphocyte count, ATM mutation, TMB status, and PD-L1 expression, patients were stratified into higher- and lower-risk groups, with the lower-risk group showing improved PFS (HR = 4.7e-10, 95% CI: 0-inf, p=0.02) and ORR (75% vs. 0%, p=0.007). Conclusion: Several highly relevant potential biomarkers predictive of immunotherapy response in AGC patients have been identified in this research.

Chromenopyridin A, a new N-methoxy-1-pyridone alkaloid from the endophytic fungus Penicillium nothofagi P-6 isolated from the critically endangered conifer Abies beshanzuensis.

A new N-methoxy-1-pyridone alkaloid [chromenopyridin A (1)] and four known compounds (2-5) were isolated and identified from the endophytic fungus Penicillium nothofagi P-6, which was derived from the bark of the critically endangered conifer Abies beshanzuensis. Their structures were elucidated by extensive spectroscopic analyses and single-crystal X-ray diffraction. Among the isolates, compound 1 showed considerable cytotoxicities against the A549 and Hela human cancer cell lines, with IC50 values of 14.7 and 11.3 µM. In addition, compounds 1 and 4 exhibited potent antibacterial activity against Staphylococcus aureus with MIC values of 62.5 and 15.6 µg/mL, respectively.

A novel online calculator to predict recurrence risk in patients with distal cholangiocarcinoma after radical pancreaticoduodenectomy.

BACKGROUND: Patients with distal cholangiocarcinoma (DCC) are prone to relapse even after radical pancreaticoduodenectomy. In this study, we sought to create an online nomogram calculator to accurately predict the recurrence risk of DCC. METHODS: A total of 184 patients were included. Multivariate Cox regression analysis was used to identify independent prognosis factors for recurrence-free survival and overall survival. A nomogram was constructed according to the prognostic factors in the training cohort and then tested in the validation cohort. RESULTS: Multivariate Cox analysis showed preoperative carbohydrate antigen 19-9 (p < 0.001), maximum tumor size (p = 0.076), perineural invasion (p = 0.044), and N stage (p = 0.076) were independent prognostic factors for DCC relapse. We then constructed a nomogram with these four factors. The consistency index (C-index) of the nomogram in the training and validation cohorts were 0.703 and 0.665, respectively. Time-dependent receiver operating characteristic and decision curve analyses revealed that the nomogram provided higher diagnostic power and net benefit compared with other staging systems. CONCLUSION: In this study, we developed an online nomogram calculator that can accurately predict the recurrence risk of DCC and identify patients with a high risk of recurrence in a simple and convenient manner.

Development and validation of an online calculator to predict early recurrence and long-term survival in patients with distal cholangiocarcinoma after pancreaticoduodenectomy.

BACKGROUND: Distal cholangiocarcinoma (DCC) is a malignancy associated with a short survival time. In this study, we aimed to create an online nomogram calculator to predict early recurrence and long-term survival in patients with DCC after pancreaticoduodenectomy. METHODS: A total of 486 patients with DCC were included. An online nomogram calculator was developed and validated in training, internal validation and external validation cohorts, respectively. RESULTS: Of the 486 patients who met the inclusion criteria, we allocated 240, 120, and 126 patients to the training, internal validation, and external validation cohorts, respectively. Multivariable analysis showed that preoperative CA19-9, maximum tumor diameter, perineural invasion, and tumor differentiation were significant risk factors for early recurrence in patients with DCC. Incorporating these four factors, the nomogram achieved good AUC values of 0.788, 0.771, and 0.723 for predicting early recurrence in the training, internal validation, and external validation cohorts, respectively. Notably, this nomogram also had good power to predict overall survival. The discrimination ability of the nomogram was evaluated by dividing the predicted probabilities of early recurrence and survival into two risk groups in the training cohort (low risk ≤ 132; high risk > 132; P < .001). Time-dependent ROC and decision curve analysis further revealed that the nomogram provided higher diagnostic capacity and superior net benefit compared to other staging systems. CONCLUSION: This study developed and validated a web-based nomogram calculator that was capable of predicting early recurrence and long-term prognosis in patients with DCC after pancreaticoduodenectomy with high degrees of stability and accuracy.

ML365 inhibits TWIK2 channel to block ATP-induced NLRP3 inflammasome.

Dysregulation of NLRP3 inflammasome results in uncontrolled inflammation, which participates in various chronic diseases. TWIK2 potassium channel mediates potassium efflux that has been reported to be an essential upstream mechanism for ATP-induced NLRP3 inflammasome activation. Thus, TWIK2 potassium channel could be a potential drug target for NLRP3-related inflammatory diseases. In the present study we investigated the effects of known K2P channel modulators on TWIK2 channel expressed in a heterologous system. In order to increase plasma membrane expression and thus TWIK2 currents, a mutant channel with three mutations (TWIK2I289A/L290A/Y308A) in the C-terminus was expressed in COS-7 cells. TWIK2 currents were assessed using whole-cell voltage-clamp recording. Among 6 known K2P channel modulators tested (DCPIB, quinine, fluoxetine, ML365, ML335, and TKDC), ML365 was the most potent TWIK2 channel blocker with an IC50 value of 4.07 ± 1.5 µM. Furthermore, ML365 selectively inhibited TWIK2 without affecting TWIK1 or THIK1 channels. We showed that ML365 (1, 5 µM) concentration-dependently inhibited ATP-induced NLRP3 inflammasome activation in LPS-primed murine BMDMs, whereas it did not affect nigericin-induced NLRP3, or non-canonical, AIM2 and NLRC4 inflammasomes activation. Knockdown of TWIK2 significantly impaired the inhibitory effect of ML365 on ATP-induced NLRP3 inflammasome activation. Moreover, we demonstrated that pre-administration of ML365 (1, 10, 25 mg/kg, ip) dose-dependently ameliorated LPS-induced endotoxic shock in mice. In a preliminary pharmacokinetic study conducted in rats, ML365 showed good absolute oral bioavailability with F value of 22.49%. In conclusion, ML365 provides a structural reference for future design of selective TWIK2 channel inhibitors in treating related inflammatory diseases.

Clinicopathological Characteristics and Prognosis of Signet Ring Gastric Cancer: A Population-Based Study.

BACKGROUND: To better define the clinicopathologic characteristics of signet ring cell (SRC) gastric cancer and build a prognostic model for it. METHODS: SRC patient information from 2010 to 2015 were identified using Surveillance, Epidemiology, and End Results (SEER) database. Kaplan-Meier method and log-rank test were used to estimate Overall survival (OS) and to determine associations with histologic subtypes. In COX proportional hazards regression model-based univariate and multivariate analyses, significant variables for construction of a nomogram were screened out. The nomogram was validated by means of the concordance index (CI), calibration plots, and receiver operating characteristics (ROCs) curves. RESULTS: A total of 11,363 gastric cancer patients were enrolled. On dividing the patients into SRC, well-to-moderately differentiated (WMD) adenocarcinoma, and poorly differentiated (PD) adenocarcinoma, differences among these subgroups emerged. SRC patients were more likely to occur in female and young patients than other histologic subtypes. Larger tumors, stage T4, and node stage N3 were more likely to be found in the SRC group. The survival for SRC patients was better than non-SRC patients in stage I. Univariate and multivariate analyses identified age, tumor site, larger tumor size, advanced T classification, advanced N classification, advanced TNM stage, and surgery of primary site as independent prognostic indicators. Then an OS nomogram was formulated. CONCLUSIONS: SRC had distinct clinicopathological characteristics. The nomogram provided an accurate tool to evaluate the prognosis of SRC.

Robotic resection of duodenal gastrointestinal stromal tumour: Preliminary experience from a single centre.

BACKGROUND: Experience in minimally invasive surgery in the treatment of duodenal gastrointestinal stromal tumors (DGISTs) is accumulating, but there is no consensus on the choice of surgical method. AIM: To summarize the technique and feasibility of robotic resection of DGISTs. METHODS: The perioperative and demographic outcomes of a consecutive series of patients who underwent robotic resection and open resection of DGISTs between May 1, 2010 and May 1, 2020 were retrospectively analyzed. The patients were divided into the open surgery group and the robotic surgery group. Pancreatoduodenectomy (PD) or limited resection was performed based on the location of the tumour and the distance between the tumour and duodenal papilla. Age, sex, tumour location, tumour size, operation time (OT), estimated blood loss (EBL), postoperative hospital stay (PHS), tumour mitosis, postoperative risk classification, postoperative recurrence and recurrence-free survival were compared between the two groups. RESULTS: Of the 28 patients included, 19 were male and 9 were female aged 51.3 ± 13.1 years. Limited resection was performed in 17 patients, and PD was performed in 11 patients. Eleven patients underwent open surgery, and 17 patients underwent robotic surgery. Two patients in the robotic surgery group underwent conversion to open surgery. All the tumours were R0 resected, and there was no significant difference in age, sex, tumour size, operation mode, PHS, tumour mitosis, incidence of postoperative complications, risk classification, postoperative targeted drug therapy or postoperative recurrence between the two groups (P > 0.05). OT and EBL in the robotic group were significantly different to those in the open surgery group (P < 0.05). All the patients survived during the follow-up period, and 4 patients had recurrence and metastasis. No significant difference in recurrence-free survival was noted between the open surgery group and the robotic surgery group (P > 0.05). CONCLUSION: Robotic resection is safe and feasible for patients with DGISTs, and its therapeutic effect is equivalent to open surgery.

Intelligent immune clonal optimization algorithm for pulmonary nodule classification.

Computer-aided diagnosis (CAD) of pulmonary nodules is an effective approach for early detection of lung cancers, and pulmonary nodule classification is one of the key issues in the CAD system. However, CAD has the problems of low accuracy and high false-positive rate (FPR) on pulmonary nodule classification. To solve these problems, a novel method using intelligent immune clonal selection and classification algorithm is proposed and developed in this work. First, according to the mechanism and characteristics of chaotic motion with a logistic mapping, the proposed method utilizes the characteristics of chaotic motion and selects the control factor of the optimal chaotic state, to generate an initial population with randomness and ergodicity. The singleness problem of the initial population of the immune algorithm was solved by the proposed method. Second, considering on the characteristics of Gaussian mutation operator (GMO) with a small scale, and Cauchy mutation operator (CMO) with a big scale, an intelligent mutation strategy is developed, and a novel control factor of the mutation is designed. Therefore, a Gauss-Cauchy hybrid mutation operator is designed. Ultimately, in this study, the intelligent immune clonal optimization algorithm is proposed and developed for pulmonary nodule classification. To verify its accuracy, the proposed method was used to analyze 90 CT scans with 652 nodules. The experimental results revealed that the proposed method had an accuracy of 97.87% and produced 1.52 false positives per scan (FPs/scan), indicating that the proposed method has high accuracy and low FPR.