A multi-level investigation of the genetic relationship between gastroesophageal reflux disease and lung cancer.

Background: Observational studies have revealed a potential association between gastroesophageal reflux disease (GERD) and lung cancer (LC), but the genetic role in their comorbidity have not been fully elucidated. This study aimed to comprehensively dissect the genetic link underlying GERD and LC. Methods: Using large-scale genome-wide association study (GWAS) data, we investigated shared genetic architecture between GERD and LC. Our analyses encompassed genetic correlation, cross-trait meta-analysis, transcriptome-wide association studies (TWASs), and the evaluation of the causality though a bidirectional Mendelian randomization (MR) analysis with sufficient sensitivities. Results: We identified a significant genome-wide genetic correlation between GERD and overall LC (rg =0.33, P=1.58×10-14), as well as across other subtype-specific LC (rg ranging from 0.19 to 0.39). After separating the whole genome into approximately 2,353 independent regions, 5 specific regions demonstrated significant local genetic correlation, with most significant region located at 9q33.3. Cross-trait meta-analysis revealed 22 pleiotropic loci between GERD and LC, including 3 novel loci (rs537160, rs10156445, and rs17391694). TWASs discovered a total of 49 genes shared in multiple tissues, such as lung tissues, esophagus muscularis, esophagus mucosa, and esophagus gastroesophageal junction. MR analysis suggested a significantly causal relationship between GERD and overall LC [odds ratio (OR) =1.34, 95% confidence interval (CI): 1.19-1.51], as well as other subtype-specific LC (OR ranging from 1.25 to 1.76). No evidence supports a significant causal effect of LC on GERD. Conclusions: Our findings suggest intrinsic genetic correlation underlying GERD and LC, which provides valuable insights for screening and management of LC in individuals with GERD.

Effect of family history of cancer on postoperative survival in patients with non-small cell lung cancer.

Background: Family history of cancer (FHC) has been reported to increase mortality of non-small cell lung cancer, mainly comprised of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). However, the impact of FHC on long-term survival remains controversial. This study aims to identify the impact of FHC on postoperative survival in LUAD and LUSC. Methods: Patients underwent lung resection for LUAD or LUSC in West China Hospital from 2009 to 2021 were enrolled. The 5-year overall survival (OS), lung cancer-specific survival (LCSS) and progression-free survival (PFS) were compared between the patients with and without FHC. Multivariable Cox regression was also performed. Results: A total of 6,253 patients were enrolled, including 5,685 LUAD and 568 LUSC. Altogether 18.9% (1,077/5,685) patients had FHC in LUAD, and 12.7% (72/568) patients had FHC in LUSC. In LUAD, the patients with FHC showed comparable survival compared with the patients without FHC regarding 5-year OS (87.9% vs. 86.5%, P=0.49), 5-year PFS (84.8% vs. 80.9%, P=0.06), and 5-year LCSS (89.2% vs. 88.0%, P=0.96). In LUSC, the patients with FHC had poorer survival compared with the patients without FHC according to 5-year OS (40.9% vs. 68.2%, P=0.007), 5-year PFS (42.3% vs. 66.2%, P=0.003), and 5-year LCSS (45.8% vs. 72.7%, P=0.003). Multivariate analyses indicated that FHC was an independent prognostic factor of OS, PFS, and LCSS in the patients with LUSC. Conclusions: FHC was associated with a poor survival after lung resection in LUSC not LUAD patients. More attention should be paid in postoperative monitoring and treatment in LUSC patients with FHC.

Application of improved Unet network in the recognition and segmentation of lung CT images in patients with pneumoconiosis.

BACKGROUND: Pneumoconiosis has a significant impact on the quality of patient survival. This study aims to evaluate the performance and application value of improved Unet network technology in the recognition and segmentation of lesion areas of lung CT images in patients with pneumoconiosis. METHODS: A total of 1212 lung CT images of patients with pneumoconiosis were retrospectively included. The improved Unet network was used to identify and segment the CT image regions of the patients' lungs, and the image data of the granular regions of the lungs were processed by the watershed and region growing algorithms. After random sorting, 848 data were selected into the training set and 364 data into the validation set. The experimental dataset underwent data augmentation and were used for model training and validation to evaluate segmentation performance. The segmentation results were compared with FCN-8s, Unet network (Base), Unet (Squeeze-and-Excitation, SE + Rectified Linear Unit, ReLU), and Unet + + networks. RESULTS: In the segmentation of lung CT granular region with the improved Unet network, the four evaluation indexes of Dice similarity coefficient, positive prediction value (PPV), sensitivity coefficient (SC) and mean intersection over union (MIoU) reached 0.848, 0.884, 0.895 and 0.885, respectively, increasing by 7.6%, 13.3%, 3.9% and 6.4%, respectively, compared with those of Unet network (Base), and increasing by 187.5%, 249.4%, 131.9% and 51.0%, respectively, compared with those of FCN-8s, and increasing by 14.0%, 31.2%, 4.7% and 9.7%, respectively, compared with those of Unet network (SE + ReLU), while the segmentation performance was also not inferior to that of the Unet + + network. CONCLUSIONS: The improved Unet network proposed shows good performance in the recognition and segmentation of abnormal regions in lung CT images in patients with pneumoconiosis, showing potential application value for assisting clinical decision-making.

Association of tooth loss and gallstones: National Health and Nutrition Examination Survey 2017-2018.

Introduction: Gallstones are one of the most common digestive diseases globally, with an estimated affected population of 15% in the United States. Our aim is to assess the current association between oral health and gallstones, exploring potential mediation factors. Methods: Self-reported gallstones were determined based on medical condition questionnaires. Dental status was assessed by dental professionals and oral health questionnaire. Mediation analysis was conducted for body mass index, blood glucose, triglycerides, and cholesterol, and the percentage of mediation effects was calculated. Results: We included 444 patients with gallstones and 3565 non-gallstone participants from National Health and Nutrition Examination Survey. After fully adjusting for all covariates, the prevalence of gallstones is higher when the number of missing teeth is at T3 compared to T1 (odds ratio [OR]: 1.93, confidence interval [CI]: 1.14 - 3.26, p = 0.02, p-trend = 0.01), and there was an inverted L-shaped association between missing teeth and gallstones, with an inflection point of 17. Bone loss around mouth was also associated with gallstones (OR: 1.78, 95% CI: 1.27 - 2.48, p = 0.002), but not root caries and gum disease. Mediation analysis identified blood glucose as a crucial mediator, with a mediation effect ratio of 4.91%. Conclusions: Appropriate lifestyle interventions for patients with missing teeth may help delay the onset of gallstones, such as healthy dietary habits, trace elements supplementing, and managing weight and blood sugar levels. Further exploration of the relationship between oral health and overall health contributes to disease prevention and comprehensive medical management.

Prognostic relevance of immune-related adverse events in lung cancer patients undergoing immune checkpoint inhibitor therapy: a systematic review and meta-analysis.

Background: Immune checkpoint inhibitors (ICIs) work by activating the immune system, a mechanism that may also cause immune-related adverse events (irAEs). This study seeks to investigate on how different irAEs impact prognosis of advanced lung cancer (LC) patients and identify useful approaches to manage irAEs. Methods: A thorough literature search of PubMed, Embase, the Cochrane Library and manual searches up to January 2024 were undertaken. Treatment outcomes including progression-free survival (PFS), overall survival (OS), objective response rate (ORR), and disease control rate (DCR) were obtained. Meta-analysis was conducted using R software (version 4.3.1). Results: There were 106 studies with 41,050 advanced or recurrent LC patients included. The occurrence of irAEs was correlated with better PFS [hazard ratio (HR) =0.54; 95% confidence interval (CI): 0.49-0.59], OS (HR =0.57; 0.51-0.63), ORR [risk ratio (RR) =2.03; 95% CI: 1.81-2.28] and DCR (RR =1.55; 95% CI: 1.40-1.72) and remained significant after adjusting programmed death-ligand 1 (PD-L1) level. IrAEs affecting skin (OS: HR =0.45; 95% CI: 0.38-0.53) and endocrine system (OS: HR =0.51; 95% CI: 0.41-0.62), of mild severity (OS: HR =0.52; 95% CI: 0.35-0.79), arising in multiple sites (OS: HR =0.47; 95% CI: 0.38-0.59), induced by monotherapy (OS: HR =0.58; 95% CI: 0.52-0.65), with a delayed onset (cutoff: 3 months; OS: HR =0.37; 95% CI: 0.19-0.71) were identified as positive prognostic markers. In contrast, though pulmonary irAEs were found to be corelated with enhanced treatment response (ORR: RR =1.75; 95% CI: 1.37-2.25), they may harm survival, especially those with grade ≥3 (OS: HR =2.40; 95% CI: 1.39-4.14). Treatment resumption tended to improve PFS but might not reduce the risk of death compared to permanent discontinuation. Conclusions: IrAEs suggest better treatment outcomes generally, yet severe pneumonia could increase mortality risk. Close supervision and appropriate handling protocols are warranted to weigh treatment benefit against risk.

Association of complete blood count parameters with the risk of incident pulmonary heart disease in pneumoconiosis: a retrospective cohort study.

BACKGROUND: Pneumoconiosis mostly combines pulmonary and cardiovascular diseases, among which pulmonary heart disease (PHD) is of major concern due to its significant impact on the survival of pneumoconiosis patients. White cell count (WCC), red cell distribution width (RDW) and platelet parameters are thought to affect inflammatory responses and may be predictors of various cardiovascular diseases. However, very few studies have focused on PHD. OBJECTIVES: To examine the relationship between baseline complete blood count parameters (WCC, RDW, platelet parameters) and the risk of incident PHD in pneumoconiosis patients. DESIGN: A retrospective cohort study. SETTING: This was a single-centre, retrospective cohort study that used data from an Occupational Disease Hospital, Chengdu, Sichuan. PARTICIPANTS: A total of 946 pneumoconiosis patients from January 2012 to November 2021 were included in the study. Female patients and patients who had PHD, coronary heart disease, hypertensive heart disease, cardiomyopathy, heart failure, oncological disease, multiple organ dysfunction, AIDS at baseline and follow-up time of less than 6 months were also excluded. OUTCOME MEASURES: We identified PHD according to the patient's discharge diagnosis. We constructed Cox proportional hazard regression models to assess the HR of incident PHD in pneumoconiosis, as well as 95% CIs. RESULTS: In the multiple Cox proportional hazard regression analysis, platelet count (PLT) and plateletcrit (PCT) above the median at baseline were associated with an increased risk of PHD in pneumoconiosis with adjusted HR of 1.52 (95% CI 1.09 to 2.12) and 1.42 (95% CI 1.02 to 1.99), respectively. CONCLUSION: Higher baseline PLT and PCT are associated with a higher risk of PHD in pneumoconiosis.

The associations of peripheral interleukin alterations and hippocampal subfield volume deficits in schizophrenia.

The hippocampus is one of the brain regions most vulnerable to inflammatory insults, and the relationships between peripheral inflammation and hippocampal subfields in patients with schizophrenia remain unclear. In this study, forty-six stably medicated patients with schizophrenia and 48 demographically matched healthy controls (HCs) were recruited. The serum levels of IL - 1ß, IL-6, IL-10, and IL-12p70 were measured, and 3D high-resolution T1-weighted magnetic resonance imaging was performed. The IL levels and hippocampal subfield volumes were both compared between patients and HCs. The associations of altered IL levels with hippocampal subfield volumes were assessed in patients. Patients with schizophrenia demonstrated higher serum levels of IL-6 and IL-10 but lower levels of IL-12p70 than HCs. In patients, the levels of IL-6 were positively correlated with the volumes of the left granule cell layer of the dentate gyrus (GCL) and cornu Ammonis (CA) 4, while the levels of IL-10 were negatively correlated with the volumes of those subfields. IL-6 and IL-10 might have antagonistic roles in atrophy of the left GCL and CA4. This suggests a complexity of peripheral cytokine dysregulation and the potential for its selective effects on hippocampal substructures, which might be related to the pathophysiology of schizophrenia.

Deep learning pneumoconiosis staging and diagnosis system based on multi-stage joint approach.

BACKGROUND: Pneumoconiosis has a significant impact on the quality of patient survival due to its difficult staging diagnosis and poor prognosis. This study aimed to develop a computer-aided diagnostic system for the screening and staging of pneumoconiosis based on a multi-stage joint deep learning approach using X-ray chest radiographs of pneumoconiosis patients. METHODS: In this study, a total of 498 medical chest radiographs were obtained from the Department of Radiology of West China Fourth Hospital. The dataset was randomly divided into a training set and a test set at a ratio of 4:1. Following histogram equalization for image enhancement, the images were segmented using the U-Net model, and staging was predicted using a convolutional neural network classification model. We first used Efficient-Net for multi-classification staging diagnosis, but the results showed that stage I/II of pneumoconiosis was difficult to diagnose. Therefore, based on clinical practice we continued to improve the model by using the Res-Net 34 Multi-stage joint method. RESULTS: Of the 498 cases collected, the classification model using the Efficient-Net achieved an accuracy of 83% with a Quadratic Weighted Kappa (QWK) score of 0.889. The classification model using the multi-stage joint approach of Res-Net 34 achieved an accuracy of 89% with an area under the curve (AUC) of 0.98 and a high QWK score of 0.94. CONCLUSIONS: In this study, the diagnostic accuracy of pneumoconiosis staging was significantly improved by an innovative combined multi-stage approach, which provided a reference for clinical application and pneumoconiosis screening.

Development of a predictive model to predict postoperative bone metastasis in pathological I-II non-small cell lung cancer.

Background: Bone is a common metastatic site in postoperative metastasis, but related risk factors for early-stage non-small cell lung cancer (NSCLC) remain insufficiently investigated. Thus, the study aimed to identify risk factors for postoperative bone metastasis in early-stage NSCLC and construct a nomogram to identify high-risk individuals. Methods: Between January 2015 and January 2021, we included patients with resected stage I-II NSCLC at the Department of Thoracic Surgery, West China Hospital. Univariable and multivariable Cox regression analyses were used to identify related risk factors. Additionally, we developed a visual nomogram to forecast the likelihood of bone metastasis. Evaluation of the model involved metrics such as the area under the curve (AUC), C-index, and calibration curves. To ensure reliability, internal validation was performed through bootstrap resampling. Results: Our analyses included 2,106 eligible patients, with 54 (2.56%) developing bone metastasis. Multivariable Cox analyses showed that tumor nodules with solid component, higher pT stage, higher pN stage, and histologic subtypes especially solid/micropapillary predominant types were considered as independent risk factors of bone metastasis. In the training set, the developed model demonstrated AUCs of 0.807, 0.769, and 0.761 for 1-, 3-, and 5-year follow-ups, respectively. The C-index, derived from 1,000 bootstrap resampling, showed values of 0.820, 0.793, and 0.777 for 1-, 3-, and 5-year follow-ups. The calibration curve showed that the model was well calibrated. Conclusions: The predictive model is proven to be valuable in estimating the probability of bone metastasis in early-stage NSCLC following surgery. Leveraging four easy-to-acquire clinical parameters, this model effectively identifies high-risk patients and enables individualized surveillance strategies for better patient care.

Genetic perturbation of IL-6 receptor signaling pathway and risk of multiple respiratory diseases.

Dysregulation of inflammation can lead to multiple chronic respiratory diseases, such as chronic obstructive pulmonary disease (COPD) and asthma. Interleukin-6 (IL6) is crucial in regulating the inflammatory cascade, but the causal link between IL6 signaling downregulation and respiratory diseases risk is unclear. This study uses Mendelian randomization to examine the effects of IL6R blockade on respiratory diseases. Analyzing data from 522,681 Europeans, 26 genetic variants were obtained to mimic IL6R inhibition. Our findings show that IL6R blockade significantly reduces the risk of COPD (OR = 0.71, 95% CI = 0.60-9.84) and asthma (OR = 0.82, 95% CI = 0.74-0.90), with protective trends for bronchitis, pulmonary embolism, and lung cancer. Results were consistent across methods, with no significant heterogeneity or pleiotropy. These insights suggest IL6R downregulation as a potential therapeutic target for respiratory diseases, meriting further clinical investigation.

Investigating causal associations between pneumonia and lung cancer using a bidirectional mendelian randomization framework.

BACKGROUND: Pneumonia and lung cancer are both major respiratory diseases, and observational studies have explored the association between their susceptibility. However, due to the presence of potential confounders and reverse causality, the comprehensive causal relationships between pneumonia and lung cancer require further exploration. METHODS: Genome-wide association study (GWAS) summary-level data were obtained from the hitherto latest FinnGen database, COVID-19 Host Genetics Initiative resource, and International Lung Cancer Consortium. We implemented a bidirectional Mendelian randomization (MR) framework to evaluate the causal relationships between several specific types of pneumonia and lung cancer. The causal estimates were mainly calculated by inverse-variance weighted (IVW) approach. Additionally, sensitivity analyses were also conducted to validate the robustness of the causalty. RESULTS: In the MR analyses, overall pneumonia demonstrated a suggestive but modest association with overall lung cancer risk (Odds ratio [OR]: 1.21, 95% confidence interval [CI]: 1.01 - 1.44, P = 0.037). The correlations between specific pneumonia types and overall lung cancer were not as significant, including bacterial pneumonia (OR: 1.07, 95% CI: 0.91 - 1.26, P = 0.386), viral pneumonia (OR: 1.00, 95% CI: 0.95 - 1.06, P = 0.891), asthma-related pneumonia (OR: 1.18, 95% CI: 0.92 - 1.52, P = 0.181), and COVID-19 (OR: 1.01, 95% CI: 0.78 - 1.30, P = 0.952). Reversely, with lung cancer as the exposure, we observed that overall lung cancer had statistically crucial associations with bacterial pneumonia (OR: 1.08, 95% CI: 1.03 - 1.13, P = 0.001) and viral pneumonia (OR: 1.09, 95% CI: 1.01 - 1.19, P = 0.037). Sensitivity analysis also confirmed the robustness of these findings. CONCLUSION: This study has presented a systematic investigation into the causal relationships between pneumonia and lung cancer subtypes. Further prospective study is warranted to verify these findings.

Suction versus non-suction drainage strategy after uniportal thoracoscopic lung surgery: a prospective cohort study.

Background: The postoperative outcomes of suction drainage versus non-suction drainage after uniportal video-assisted thoracoscopic surgery (UniVATS) come with little consensus. This study aimed to prospectively compare the postoperative outcomes of suction drainage versus non-suction drainage in patients who underwent UniVATS. Methods: Between October 2022 and January 2023, patients undergoing UniVATS were prospectively enrolled. The choice of drainage strategy (suction or non-suction) was at the surgeon's discretion. The primary outcome was chest tube duration, with secondary outcomes including postoperative drainage volume, pain scores, postoperative complications, length of hospital stay, and hospitalization cost. Baseline characteristics and postoperative outcomes were compared. Univariable and multivariable analyses were used to identify risk factors for postoperative outcomes. Results: A total of 206 patients were enrolled in this study, with 103 patients in each group. Baseline characteristics were well-balanced. The chest tube duration did not significantly differ between the two groups. However, suction drainage exhibited a significantly lower total drainage volume compared to non-suction drainage (280.00 vs. 400.00 mL, P=0.03). Suction drainage was associated with a significantly shorter postoperative hospital stay (3.00 vs. 4.00 days, P<0.001) and lower pain score on the second postoperative day (POD). Multivariable analyses also confirmed that suction drainage was significantly correlated with a lower total drainage volume and a shorter postoperative hospital stay. Conclusions: These findings suggested that the suction drainage was superior to non-suction drainage in terms of postoperative drainage volume and length of hospital stay in patients undergoing UniVATS.

A miRNA-7704/IL2RB/AKT feedback loop regulates tumorigenesis and chemoresistance in ovarian cancer.

Ovarian cancer is one of the most common gynecological tumors worldwide. Despite the availability of multiple treatments for ovarian cancer, its resistance to chemotherapy remains a significant challenge. miRNAs play crucial roles in the initiation and progression of cancer by affecting processes such as differentiation, proliferation, and chemoresistance. According to microarray and qPCR analyses, miR-7704 is significantly downregulated in cisplatin-resistant cells compared to parental cells. In this study, we found that miR-7704 inhibited the proliferation and promoted cisplatin sensitivity of ovarian cancer cells in vitro and in vivo. Moreover, ectopic expression of miR-7704 had the same effect as IL2RB knockdown. Further mechanistic studies revealed that miR-7704 played an inhibitory role by regulating IL2RB expression to inactivate the AKT signaling pathway. Furthermore, IL2RB reversed the miR-7704 mediated resistance to cisplatin in ovarian cancer. Based on these findings, miR-7704 and IL2RB show the potential as novel therapeutic targets for ovarian cancer.

[A survey on the application of convolutional neural networks in the diagnosis of occupational pneumoconiosis].

Pneumoconiosis ranks first among the newly-emerged occupational diseases reported annually in China, and imaging diagnosis is still one of the main clinical diagnostic methods. However, manual reading of films requires high level of doctors, and it is difficult to discriminate the staged diagnosis of pneumoconiosis imaging, and due to the influence of uneven distribution of medical resources and other factors, it is easy to lead to misdiagnosis and omission of diagnosis in primary healthcare institutions. Computer-aided diagnosis system can realize rapid screening of pneumoconiosis in order to assist clinicians in identification and diagnosis, and improve diagnostic efficacy. As an important branch of deep learning, convolutional neural network (CNN) is good at dealing with various visual tasks such as image segmentation, image classification, target detection and so on because of its characteristics of local association and weight sharing, and has been widely used in the field of computer-aided diagnosis of pneumoconiosis in recent years. This paper was categorized into three parts according to the main applications of CNNs (VGG, U-Net, ResNet, DenseNet, CheXNet, Inception-V3, and ShuffleNet) in the imaging diagnosis of pneumoconiosis, including CNNs in pneumoconiosis screening diagnosis, CNNs in staging diagnosis of pneumoconiosis, and CNNs in segmentation of pneumoconiosis foci to conduct a literature review. It aims to summarize the methods, advantages and disadvantages, and optimization ideas of CNN applied to the images of pneumoconiosis, and to provide a reference for the research direction of further development of computer-aided diagnosis of pneumoconiosis.

Mitochondrial dysfunction affects hepatic immune and metabolic remodeling in patients with hepatitis B virus-related acute-on-chronic liver failure.

BACKGROUND: Immune dysregulation and metabolic derangement have been recognized as key factors that contribute to the progression of hepatitis B virus (HBV)-related acute-on-chronic liver failure (ACLF). However, the mechanisms underlying immune and metabolic derangement in patients with advanced HBV-ACLF are unclear. AIM: To identify the bioenergetic alterations in the liver of patients with HBV-ACLF causing hepatic immune dysregulation and metabolic disorders. METHODS: Liver samples were collected from 16 healthy donors (HDs) and 17 advanced HBV-ACLF patients who were eligible for liver transplantation. The mitochondrial ultrastructure, metabolic characteristics, and immune microenvironment of the liver were assessed. More focus was given to organic acid metabolism as well as the function and subpopulations of macrophages in patients with HBV-ACLF. RESULTS: Compared with HDs, there was extensive hepatocyte necrosis, immune cell infiltration, and ductular reaction in patients with ACLF. In patients, the liver suffered severe hypoxia, as evidenced by increased expression of hypoxia-inducible factor-1α. Swollen mitochondria and cristae were observed in the liver of patients. The number, length, width, and area of mitochondria were adaptively increased in hepatocytes. Targeted metabolomics analysis revealed that mitochondrial oxidative phosphorylation decreased, while anaerobic glycolysis was enhanced in patients with HBV-ACLF. These findings suggested that, to a greater extent, hepa-tocytes used the extra-mitochondrial glycolytic pathway as an energy source. Patients with HBV-ACLF had elevated levels of chemokine C-C motif ligand 2 in the liver homogenate, which stimulates peripheral monocyte infiltration into the liver. Characterization and functional analysis of macrophage subsets revealed that patients with ACLF had a high abundance of CD68+ HLA-DR+ macrophages and elevated levels of both interleukin-1ß and transforming growth factor-ß1 in their livers. The abundance of CD206+ CD163+ macrophages and expression of interleukin-10 decreased. The correlation analysis revealed that hepatic organic acid metabolites were closely associated with macrophage-derived cytokines/chemokines. CONCLUSION: The results indicated that bioenergetic alteration driven by hypoxia and mitochondrial dysfunction affects hepatic immune and metabolic remodeling, leading to advanced HBV-ACLF. These findings highlight a new therapeutic target for improving the treatment of HBV-ACLF.

From hepatitis B virus infection to acute-on-chronic liver failure: The dynamic role of hepatic macrophages.

Acute-on-chronic liver failure (ACLF) is a progressive disease that is associated with rapid worsening of clinical symptoms and high mortality. A multicentre prospective study from China demonstrated that patients with hepatitis B virus-related ACLF (HBV-ACLF) exhibited worse clinical characteristics and higher mortality rates compared to non-HBV-ACLF patients. Immune dysregulation is closely linked to the potential mechanisms of initiation and progression of ACLF. Innate immune response, which is represented by monocytes/macrophages, is up-regulated across ACLF development. This suggests that monocytes/macrophages play an essential role in maintaining the immune homeostasis of ACLF. Information that has been published in recent years shows that the immune status and function of monocytes/macrophages vary in ACLF precipitated by different chronic liver diseases. Monocytes/macrophages have an immune activation effect in hepatitis B-precipitated-ACLF, but they exhibit an immune suppression in cirrhosis-precipitated-ACLF. Therefore, this review aims to explain whether this difference affects the clinical outcome in HBV-ACLF patients as well as the mechanisms involved. We summarize the novel findings that highlight the dynamic polarization phenotype and functional status of hepatic macrophages from the stage of HBV infection to ACLF development. Moreover, we discuss how different HBV-related liver disease tissue microenvironments affect the phenotype and function of hepatic macrophages. In summary, increasing developments in understanding the differences in immune phenotype and functional status of hepatic macrophages in ACLF patients will provide new perspectives towards the effective restoration of ACLF immune homeostasis.

Inhibition of Bromodomain Proteins Enhances Oncolytic HAdVC5 Replication and Efficacy in Pancreatic Ductal Adenocarcinoma (PDAC) Models.

Pancreatic ductal adenocarcinoma (PDAC) is the most aggressive type of pancreatic cancer, which rapidly develops resistance to the current standard of care. Several oncolytic Human AdenoViruses (HAdVs) have been reported to re-sensitize drug-resistant cancer cells and in combination with chemotherapeutics attenuate solid tumour growth. Obstacles preventing greater clinical success are rapid hepatic elimination and limited viral replication and spread within the tumour microenvironment. We hypothesised that higher intratumoural levels of the virus could be achieved by altering cellular epigenetic regulation. Here we report on the screening of an enriched epigenetics small molecule library and validation of six compounds that increased viral gene expression and replication. The greatest effects were observed with three epigenetic inhibitors targeting bromodomain (BRD)-containing proteins. Specifically, BRD4 inhibitors enhanced the efficacy of Ad5 wild type, Ad∆∆, and Ad-3∆-A20T in 3-dimensional co-culture models of PDAC and in vivo xenografts. RNAseq analysis demonstrated that the inhibitors increased viral E1A expression, altered expression of cell cycle regulators and inflammatory factors, and attenuated expression levels of tumour cell oncogenes such as c-Myc and Myb. The data suggest that the tumour-selective Ad∆∆ and Ad-3∆-A20T combined with epigenetic inhibitors is a novel strategy for the treatment of PDAC by eliminating both cancer and associated stromal cells to pave the way for immune cell access even after systemic delivery of the virus.

Preoperative H. pylori Eradication Therapy Facilitates Precise Delineation in Early Gastric Cancer with Current H. pylori Infection.

INTRODUCTION: Early gastric cancer with current Helicobacter pylori infection (HpC-EGC) is common, but it is still unclear whether H. pylori eradication therapy (Hp-ET) or endoscopic submucosal dissection (ESD) should be performed first. We evaluated Hp-ETs short-term effects on horizontal boundary delineations of HpC-EGC in ESD. METHODS: Prospectively enrolled HpC-EGC patients were randomly assigned to eradication or control groups. Operation scopes of HpC-EGC lesions were delineated with marking dots at 5 mm out of the endoscopic demarcation line by an independent endoscopist, unaware of eradication status, before formal circumferential incision. As representatives, precise delineation rate, the shortest distance of all marking dots to the pathological demarcation line in all slices of one intact resected specimen (Dmin), and negative marking dot specimen rate were examined. RESULTS: Twenty-three HpC-EGC patients (25 lesions) were allocated to eradication group and 26 patients (27 lesions) were allocated to the control group with similar eradication success rates and all were differentiated type. With improving background mucosa inflammation after Hp-ET and similar gastritis-like epithelium rates, 10 lesions (40.0%) in the eradication group were of precise delineation compared to control group with 2 lesions (7.4%) (relative risk = 5.40, 95% CI 1.31-22.28). Dmin of eradication and control groups were 4.17 ± 2.52 mm and 2.67 ± 2.30 mm (p = 0.029), accompanied by 4 (14.8%) and none (0.0%) specimens that exhibited positive marking dots (p = 0.11), respectively. CONCLUSION: For HpC-EGC patients, administrating eradication medication before ESD is beneficial for the precise delineation of lesions and reducing the risk of positive horizontal resection margins.

Effect of a prior thyroid cancer on the survival of lung cancer patients: a retrospective study based on SEER database.

PURPOSE: The effect of a history of thyroid cancer on the prognosis of lung cancer patients has not been fully investigated. Therefore, we aimed to evaluate this effect based on a large cohort. METHODS: Data of 154844 lung cancer patients, of whom 406 had prior thyroid cancer, were collected from SEER database. Primary survival analysis was conducted between patients with and without prior thyroid cancer using Kaplan-Meier method. Secondary survival analysis was conducted to investigate the effects of the stage and histological subtype of the prior thyroid cancer on the survival of lung cancer patients. Propensity adjustment was used to reduce confounding effect. RESULTS: Compared to patients without prior malignancy, patients with prior thyroid cancer were predominantly female (72.4% vs. 48.7%, p < 0.001), had lower stage (proportion of localized tumor: 40.4% vs. 25.6%, p < 0.001), and larger proportion of surgery (52.2% vs. 29.4%, p < 0.001), and had better survival (5-year survival rate: 55.53% vs. 33.16%, p < 0.001). After propensity adjustment, the survival was similar between the groups (5-year survival rate: 55.53% vs. 51.78%, p = 0.24). The survival of patients with different stages (localized tumor vs. regional tumor: p = 0.88) or different histological subtypes (p = 0.46) of prior thyroid cancer were comparable. CONCLUSION: Survival of lung cancer patients with or without prior thyroid cancer was similar after propensity adjustment, and the stage or histological subtype of the prior thyroid cancer had no significant effect on the survival of lung cancer patients.

Free water alterations in different inflammatory subgroups in schizophrenia.

BACKGROUND: Accumulating evidence suggests that inflammatory dysregulation both in blood and the brain is implicated in the pathogenesis of schizophrenia. Alterations in peripheral cytokines are not evident in all patients and there may be discrete altered inflammatory subgroups in schizophrenia. Recent studies using a novel and in vivo free-water imaging to detect inflammatory processes, have shown increased free water in white matter in schizophrenia. However, no studies to date have investigated the free water alterations in different inflammatory subgroups in schizophrenia. METHODS: Forty-four patients with schizophrenia and 49 controls were recruited. The serum levels of interleukin-1 beta (IL-1ß), IL-6, IL-10, and IL-12p70 were measured and used for cluster analysis with K-means and hierarchical algorithms. Diffusion tensor imaging (DTI) images were collected for all participants and voxel-wise free water and fractional anisotropy of tissue (FA-t) were compared between groups with Randomise running in FSL. Partial correlation analysis was employed to explore the association of the peripheral cytokine levels with free water. RESULTS: We identified two statistically quantifiable discrete subgroups of patients based on the cluster analysis of cytokine measures. The peripheral levels of IL-1ß (P < 0.001), IL-10 (P = 0.041), and IL-12p70 (P < 0.001) showed significant differences between the two different inflammatory subgroups. In the inflammatory subgroup with a predominantly higher IL-1ß level, increased free water values in white matter were found mainly in the left posterior limb of the internal capsule, posterior corona radiata, and partly in the left sagittal stratum. These affected areas did not overlap with the regions that showed significant free water differences between patients and healthy controls. In the inflammatory subgroup with lower IL-1ß levels, peripheral IL-1ß was significantly associated with free water values in white matter while no such association was detected in the patient group. CONCLUSIONS: Localized free water differences were demonstrated between the two identified inflammatory subgroups in our data, and free water appears to be a feasible in vivo neuroimaging biomarker guiding the target of inflammatory intervention and development of new therapeutic strategies in an individualized manner in schizophrenia.