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Ubiquitin-specific peptidases7 (USP7) participates in the regulation of various metabolic and immune disorders. However, the role of USP7 in lupus nephritis (LN) remains unknown. The current study set out to elucidate the regulatory role of USP7 in LN together with JMJD3 and NF-κB. SLE MRL/LPR mice and mouse glomerular mesangial cells SV40 MES 13 cells were employed for in vivo or vitro experiments. USP7, JMJD3 and NF-κB expression in MRL/LPR mice were detected, followed by investigation of their functions in the proliferation of mesangial cells and mesangial matrix. Subsequently, the interaction among USP7, JMJD3 and NF-κB was determined by means of ChIP and co-immunoprecipitation assay. The results indicated that USP7, JMJD3, p-NF-κB p65 were all highly-expressed in MRL/LPR mice. USP7 promoted the proliferation of mesangial cells and mesangial matrix, and stabilized the JMJD3 protein via deubiquitination in SV40 MES 13 cells. Meanwhile, silencing of JMJD3 inhibited the promotive effect of USP7 on the proliferation of mesangial cells and mesangial matrix. Furthermore, JMJD3 increased the expression of NF-κB p65 through demethylation, whereas silencing JMJD3 alleviated the proliferation of mesangial cells and mesangial matrix. Lastly, NF-κB p65 was proved to aggravate LN pathogenesis. Altogether, our findings highlighted that USP7 promoted the occurrence of LN by regulating the NF-κB p65 signaling pathway via stabilization of JMJD3.

Whether primary tumor surgery is better than no surgery in patients with de novo stage IV breast cancer remains controversial. This study combined prospective clinical trials and a multicenter cohort to evaluate the impact of locoregional surgery in de novo stage IV breast cancer. The GRADE approach was used to assess the quality of evidence in meta-analysis, and propensity score matching analysis was used in the cohort study. This study was registered with PROSPERO CRD42016043766 and ClinicalTrials.gov NCT04456855. A total of 1110 patients from six trials and 353 patients from the cohort study were included. The meta-analysis showed that compared with no surgery, locoregional surgery did not prolong overall survival (hazard ratio [HR] = 0.90, P = 0.40; moderate-quality) but had a significantly longer locoregional progression-free survival (HR = 0.23, P

In this era of immune checkpoint inhibitors, inflammatory adverse events of anti-cancer therapies continue to pose a major challenge. Glucocorticoids, as the mainstay, were limited by serious side effects. Glucocorticoids induce myeloid-derived suppressor cells (MDSCs), and lactoferrin-induced polymorphonuclear MDSCs (PMN-MDSCs) were shown to relieve inflammatory conditions. Combined treatment with dexamethasone (DXM) and lactoferrin increased the generation of PMN-MDSCs in vitro (DXM/lactoferrin PMN-MDSCs) compared to DXM or lactoferrin treatment alone. DXM/lactoferrin PMN-MDSCs were distinct from tumor PMN-MDSCs in vivo with regard to gene expression profiles. DXM upregulated the myeloid cell response to lactoferrin by inducing the lactoferrin receptor Lrp1. DXM/lactoferrin PMN-MDSCs presented anti-bacterial capability, increased PGE2 production, increased survival capability, and decreased tumor tissue homing. Transfer of DXM/lactoferrin PMN-MDSCs relieved cisplatin-induced acute kidney failure, bleomycin-induced interstitial pneumonia, and allergic pneumonitis effectively without promoting tumor development. Our study shows that DXM/lactoferrin PMN-MDSCs are a promising cell therapy for inflammatory adverse events of anti-cancer therapies., Li et al. show that dexamethasone and lactoferrin induced polymorphonuclear myeloid-derived suppressor cells relieve inflammatory conditions in mouse models with minimal effect on tumour growth. This work demonstrates promise for combating inflammatory adverse events during anti-cancer treatments.

CD36 plays a critical role in lipid metabolism, which is closely associated with human immunity. However, the role of CD36 in cancer remains unclear. We performed a pan-cancer analysis to elucidate the potential role of CD36 in cancer by investigating its prognostic value and current predictors for the efficacy of immune checkpoint inhibitors (ICIs) in multiple cancer types. CD36 expression in cancer cell lines, tumor tissue, and their adjacent normal tissues displayed heterogeneity among different cancers. Immunohistochemistry was used to detect CD36 expression and confirmed the results. CD36 expression significantly affects prognosis in the six cancer types. High CD36 expression was marginally associated with poorer prognosis in four of them and improved prognosis in the remaining two types. CD36 expression was significantly correlated with the 6 immune infiltrates in most cancer types. In addition, CD36 gene expression was positively correlated with Stromal score, Immune score, and ESTIMATE score. A total of 47 immune checkpoint genes were collected and their relationship with CD36 expression was analyzed. CD36 expression was significantly associated with multiple stimulatory and inhibitory checkpoint molecules with a disease-specific pattern. As to the genes reported to positively relate to the efficacy of ICIs, CD36 expression was positively correlated with most of them but negatively associated with a small proportion of cancer type-specific patterns. Concerning the genes negatively related to the efficacy of ICIs, CD36 expression was positively correlated with NRP1 and TNFSF15 in multiple cancers. CD36 expression was negatively correlated with tumor neoantigen burden in most cancer types. However, CD36 expression was negatively correlated with tumor mutation burden in most cancer types. The correlation between CD36 expression and the four methyltransferases was also significant in multiple cancers, but also with a cancer type-specific pattern. In summary, the current study found CD36 expression and its prognostic value in multiple cancer types. In addition, the expression of CD36 was significantly associated with current predictors for the efficacy of ICIs. The practical application value of CD36 is disease specific.

Objectives:In December 2019, a new type of coronavirus, called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), appeared in Wuhan, China. Serious outbreaks of coronavirus disease 2019 (COVID-19), related to the SARS-CoV-2 virus, have occurred throughout China and the world. Therefore, we intend to shed light on its potential clinical and epidemiological characteristics.Methods:In this retrospective study, we included 50 confirmed fatal cases of SARS-CoV-2 reported on Chinese official media networks from January 16, 2020, to February 5, 2020. All the cases were confirmed by local qualified medical and health institutions. Specific information has been released through official channels. According to the contents of the reports, we recorded in detail the gender, age, first symptom date, death date, primary symptoms, chronic fundamental diseases, and other data of the patients, and carried out analyses and discussion.Results:In total, 50 fatal cases were reported: median age was 70 y old, and males were 2.33 times more likely to die than females. The median number of days from the first symptom to death was 13, and that length of time tended to be shorter among people aged 65 and older compared with those younger than 65 (12 days vs 17 days;P= 0.046). Therefore, the older patients had fewer number of days from the first symptom to death (r = -0.40;P= 0.012).Conclusions:In our study, we found that most of the deaths were elderly men with chronic fundamental diseases, and their COVID-19 progression to death time was shorter. At the same time, we demonstrated that older men are more likely to become infected with COVID-19, and the risk of death is positively correlated with age.

Systemic lupus erythematosus (SLE) is an autoimmune disease that is characterized by abnormal T and B cells. B-cell activating factor (BAFF) has been suggested to play a crucial role in lupus by promoting the proliferation, differentiation, and survival of B cells. Increased serum levels of BAFF have been found in patients with lupus. However, the expression of BAFF and its receptors on immune cells and in skin has not been systematically reported before. Here, we report that SLE patients showed increased levels of BAFF on circulating CD3+ T cells and B-cell maturation antigen (BCMA) on CD14+ monocytes and dramatically increased expression of BAFF in lupus skin lesions compared with those of healthy controls. TACI was undetectable on circulating immune cells. An increased serum level of BAFF was also confirmed in lupus patients in this study. Our findings may provide a better understanding of the pathogenesis and predictors of BAFF antibody treatment response, as well as potential targets for skin therapies.

The aim of the work described here was to investigate the value of point-of-care ultrasound (POCUS) in the early assessment of the severity of pulmonary edema in rabbits. A rabbit oleic acid (OA)-induced pulmonary edema model was used. Thirty-two New Zealand rabbits were randomly divided into four groups: a control group and three pulmonary edema groups (mild, moderate and severe). Features of transthoracic B-line artifacts (BLA), blood pH, PaO2 and PaCO2, serum inflammatory factors, lung coefficient (LC), lung wet-to-dry weight ratio (W/D) and lung histopathology were assessed. BLA features and severity of pulmonary edema were semiquantitatively scored. Correlations between the number of BLA and PaO2, PaCO2, serum inflammatory factors, LC and W/D were analyzed. An additional 8 rabbits with severe pulmonary edema were used as the verified group, in which the lung was divided into ex vivo BLA (BLA-ev)-free (BLA-ev-free) and BLA-ev-clustered subregions depending on the features of BLA-ev recorded by ex vivo lung ultrasound. Lung specimens from each subregion were collected for histopathological examination. Relationships between features of BLA-ev and lung histopathological abnormalities were analyzed. With increasing doses of OA, number of BLA, W/D and levels of serum inflammatory factors decreased. Meanwhile, lung pathologic abnormalities were aggravated. In addition, time of appearance of BLA, blood pH and PaO2, and PaCO2 decreased dose dependently on OA (p

Background: The clinical benefit of chemotherapy or endocrine therapy maintenance in patients with metastatic breast cancer (MBC) after first-line chemotherapy, specifically hormone receptor (HR) positive MBC patients remain inconclusive. This study aims to comprehensively evaluate the clinical efficacy of chemotherapy or endocrine therapy maintenance in MBC patients. Methods: The meta-analysis of randomized clinical trials (RCTs) and propensity score matched analysis of multicentre cohort study in China were evaluated MBC patients who underwent first-line chemotherapy or endocrine therapy maintenance. The GRADE approach was used to assess quality of evidence in meta-analysis. The primary endpoints were progression-free survival (PFS) and overall survival (OS). Findings: A total of 2,867 patients from 15 RCTs and 760 patients from multicentre cohort were included. The results from meta-analysis showed that chemotherapy maintenance significantly improved PFS (hazard ratio [HR], 0·63; 95% confidence interval (CI) 0·54-0·73; P 0·05). Additionally, treatment effect sizes were greater for OS than for PFS, and a moderate correlation between PFS and OS was identified. Interpretation: This study provided a high evidence for PFS and OS benefits of longer first-line chemotherapy and endocrine therapy maintenance in MBC patients, and there were no difference efficacy between chemotherapy and endocrine therapy maintenance for HR-positive patients. We also suggested that both PFS and OS should be evaluated to determine the effectiveness of maintenance therapy in future clinical trials. Trial Registration: This study is registered with PROSPERO Identifier: CRD42017071858, and ClinicalTrials.gov Identifier: NCT04258163. Funding Statement: This study was supported by grant 2020ZX09201021 from the National Science and Technology Major Project, grant YXRGZN201902 from the Medical Artificial Intelligence Project of Sun Yat-Sen Memorial Hospital, grants 81572596, 81972471, U1601223, 82073408, 81802656, and 82071754 from the National Natural Science Foundation of China, grant 2017A030313828 from the Natural Science Foundation of Guangdong Province, grant 201704020131 from the Guangzhou Science and Technology Major Program, grant 2017B030314026 from the Guangdong Science and Technology Department, grant 2018007 from the Sun Yat-Sen University Clinical Research 5010 Program, grant SYS-C-201801 from the Sun Yat-Sen Clinical Research Cultivating Program, and A2020558 from the Medical Scientific Research Foundation of Guangdong Province. Declaration of Interests: The authors have no conflicts of interest to declare. Ethics Approval Statement: The study protocol was approved by the ethics committee of the Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China and was conducted in accordance with the Declaration of Helsinki and Good Clinical Practice guidelines.

Glioma accounts for the highest proportion of primary intracranial malignant tumors. Microenvironment enormously influences the process of glioma progression. Our study is to establish an individualized prognostic nomogram for glioma patients with microenvironment signature. Glioma samples of Chinese Glioma Genome Atlas (CGGA) were grouped by the immune and stromal score based on ESTIMATE algorithm. Microenvironment-related genes (MRGs) in glioma were analyzed by R. To determine the best prognostic correlation genes, univariate and multivariate Cox regression analysis were used to analyze MRGs. Use the selected genes (CHI3L1, SOCS3, SLC47A2, COL3A1, SRPX2 and SERPINA3), we established the prognostic risk score model (microenvironment signature) and validated it. Gene Set Enrichment Analysis (GSEA) showed that the high-risk group was mainly enriched in immune and stromal function KEGG pathways. Finally, the nomogram was constructed and evaluated. The receiver operating characteristic (ROC) curve, Calibration plots and decision curve analysis (DCA) of training and validation set indicated the excellent predictive performance of nomogram. In conclusion, the 6-gene microenvironment signature can not only provide directions for the basic research of glioma, but also can be included as an independent prognostic index in nomogram for individual prediction to guide clinical treatment.

In current clinical practice, the standard evaluation for axillary lymph node (ALN) status in breast cancer is based on the invasive procedure and many patients will suffer from operative associated complications. Hence, a novel signature incorporated tumor and lymph node magnetic resonance imaging (MRI) radiomics, clinical and pathological characteristics, and molecular subtypes based on the machine learning approach was established to accurately identify ALN metastasis in early-stage invasive breast cancer patients. Although the misjudgment of ALN status by clinicians according to preoperative MRI are common during clinical practice and even the senior radiologists make mistakes sometimes, this multiomic radiomic signature showed the superiority over clinicians and could precisely discriminate ALN metastasis among different molecular subtype patients. Furthermore, the association between MRI radiomic features and tumor-microenvironment features including immune cells, long non-coding RNAs, and types of methylated sites were found, which revealed the potential biological underpinning of MRI radiomics.

There are no satisfying approaches to identify high- and low-risk recurrence patients with early-stage breast cancer in current clinical practice. Patients might be overtreated or undertreated due to the inaccurate prediction of recurrence risk. Herein, machine learning magnetic resonance imaging radiomic-based signature that integrates the intratumoral and peritumoral radiomic signatures, and clinicopathological characteristics was developed to classify high- and low-risk recurrence patients and predict recurrence within multicentre cohorts. The radiomic-clinical signature could also discriminate high- from low-risk recurrence patients among different breast cancer molecular subtype, and HR+/Her2-, T1N0M0 stage patients. Furthermore, it was observed that the neoadjuvant chemotherapy improved survival in high-risk Luminal subtype patients compared with the adjuvant chemotherapy. The survival-associated radiomic features also showed the correlation with the immune microenvironment. The radiomic-clinical signature presented the feasibility of predicting recurrence risk and assisting clinical decision-making in early-stage invasive breast cancer patients.

Ethnopharmacological relevance Sjogren's syndrome (SS) is an autoimmune disease and can cause gastrointestinal disorders such as constipation and intestinal inflammation. As a kind of medicinal material, Paeonia lactiflora Pall has a variety of pharmacological effects, and it is also an indispensable component in many pharmaceutical preparations, which has been widely concerned by the medical and pharmaceutical circles. Total glucosides of paeony (TGP) is a mixture of biologically active compounds extracted from the root of Paeonia lactiflora Pall and has therapeutic effects on a variety of autoimmune diseases. Aim of the study To investigate the therapeutic effect of TGP on constipation and intestinal inflammation in mice modeled by SS, and to provide a basis for clinical research. Materials and methods The SS model was set up by submandibular gland (SMG) immune induction method and then treated with TGP for 24 weeks. The fecal characteristics were observed and the fecal number and moisture content were measured. Colonic pathology was observed by H&E staining. The levels of serum P substance (SP), vasoactive intestinal peptide (VIP), interleukin (IL)-1β, tumor necrosis factor (TNF)-α, nuclear factor (NF)-κB, nitric oxide (NO), and nitric oxide synthase (NOS) were determined by enzyme linked immunosorbent assay (ELISA) and microplate method, respectively. Reverse transcription polymerase chain reaction (RT-PCR) was employed to analyze the mRNA expression of c-kit and stem cell factor (SCF) in colon. Results Compared with the model group, the dry and rough condition of the feces was improved, and the fecal gloss, number and moisture content significantly increased after the administration of TGP capsules. Meanwhile, TGP treatment improved colonic pathological damage, inhibited the serum concentrations of NO, NOS, IL-1β, TNF-α, NF-κB and SP, increased serum VIP concentration, and up-regulated mRNA expression of SCF and c-kit in colon. Conclusions TGP could obviously attenuate SS-mediated constipation and intestinal inflammation in mice by acting on some intestinal motility related factors and inflammatory factors.

Stem cell-derived small extracellular vesicles (sEVs) promote angiogenesis after myocardial infarction (MI). However, the components of sEVs that contribute to these effects and the safety and efficiency of engineered sEV treatment for MI remain unresolved. Here, we observed improved cardiac function, enhanced vascular density, and smaller infarct size in mice treated with the sEVs from hypoxia-preconditioned (HP) mesenchymal stem cells (MSCs) (HP-sEVs) than in mice treated with normoxia-preconditioned (N) MSCs (N-sEVs). MicroRNA profiling revealed a higher abundance of miR-486-5p in HP-sEVs than in N-sEVs, and miR-486-5p inactivation abolished the benefit of HP-sEV treatment, whereas miR-486-5p up-regulation enhanced the benefit of N-sEV treatment. Matrix metalloproteinase 19 (MMP19) abundance was lower in HP-sEV-treated than N-sEV-treated mouse hearts but was enriched in cardiac fibroblasts (CFs), and Mmp19 was identified as one of the target genes of miR-486-5p. Conditioned medium from CFs that overexpressed miR-486-5p or silenced MMP19 increased the angiogenic activity of endothelial cells; however, medium from CFs that simultaneously overexpressed Mmp19 and miR-486-5p abolished this effect. Mmp19 silencing in CFs reduced the cleavage of extracellular vascular endothelial growth factor (VEGF). Furthermore, miR-486-5p-overexpressing N-sEV treatment promoted angiogenesis and cardiac recovery without increasing arrhythmia complications in a nonhuman primate (NHP) MI model. Collectively, this study highlights the key role of sEV miR-486-5p in promoting cardiac angiogenesis via fibroblastic MMP19-VEGFA cleavage signaling. Delivery of miR-486-5p-engineered sEVs safely enhanced angiogenesis and cardiac function in an NHP MI model and may promote cardiac repair.

Aims Here, we explored the potential application and selection of neuroendocrine biomarkers in the diagnosis and treatment of small cell lung cancer. Methods We retrospectively analyzed 118 patients with small cell lung cancer (SCLC), 166 patients with non-small cell lung cancer (NSCLC), 33 patients with benign lung disease (BLD), and 200 healthy individuals admitted to Zhejiang Provincial People’s Hospital between January 1, 2015 and May 31, 2019. All the patients were newly diagnosed with either SCLC, NSCLC, or BLD and previously untreated. Peripheral blood levels of ProGRP, NSE, CEA, and CYFRA21-1 were analyzed during the follow-up treatment, and 2-fold upper limit of reference intervals were defined as effective elevation. We used paired results to analyze the diagnostic efficiency of proGRP and NSE on SCLC. Results In the 118 SCLC patients, proGRP levels were significantly higher compared with NSE levels. The diagnostic efficiencies of NSE and ProGRP for SCLC were 0.8554 and 0.9053, respectively. The combined diagnostic efficiency (0.9426) was higher relative to NSE, but there was no significant difference compared with proGRP. The effective elevation rate of proGRP was 45.3% higher than that of NSE in the limited stage of SCLC. In the extensive disease of SCLC patients, 70.7% cases had more than 10-fold increase in proGRP value, whereas 56.9% cases had less than 5-fold increase in NSE value. Compared with pre-treatment, the median concentrations of proGRP increased by 204.0% higher than that of NSE (71.3%) in the progressive group. Besides, the dynamic change in imaging characteristics and tumor size had a strong correlation with the levels of proGRP. Significance ProGRP is a reliable neuroendocrine biomarker in SCLC. The effective elevation of proGRP has a potential diagnostic and efficacy value in the evaluation of SCLC. However, the combined detection of proGRP and NSE does not significantly improve the diagnosis of lung cancer.

Purpose The purpose of this study was to investigate the predictive capability of neutrophil-to-apolipoprotein A1 ratio (NAR) for predicting overall survival (OS) among patients with hepatocellular carcinoma (HCC) receiving transarterial chemoembolization (TACE). Patients and Methods We investigated the clinical features of 554 patients with HCC receiving TACE and assessed NAR's predictive value for OS with 222 patients (the discovery cohort) and 332 patients (the validation cohort). The association of NAR with circulation lectin-type oxidized low-density lipoprotein receptor-1–positive (LOX-1+) polymorphonuclear myeloid-derived suppressor cells (PMN-MDSCs) was illustrated. Results Multivariate Cox regression revealed that lymphocyte count; Tumor, Node, Metastasis (TNM) stage; and NAR were independent prognostic factors in the discovery cohort. The validation cohort confirmed the independent prognostic value of TNM stage and NAR. Patients with low NAR ( Conclusion This study identified NAR as an independent predictor for OS among patients with HCC receiving TACE. NAR reflected circulation LOX-1+ PMN-MDSC level. Implications for Practice The present study identified neutrophil-to-apolipoprotein A1 ratio (NAR) as an independent predictor for overall survival among patients with hepatocellular carcinoma receiving transarterial chemoembolization. NAR reflected circulation level of lectin-type oxidized low-density lipoprotein receptor-1–positive polymorphonuclear myeloid-derived suppressor cells.

Background: in current clinical practice, the standard evaluation for axillary lymph node (ALN) status in breast cancer has a low efficiency and is based on an invasive procedure that causes operative-associated complications in many patients. Therefore, we aimed to use machine learning techniques to develop an efficient preoperative magnetic resonance imaging (MRI) radiomics evaluation approach of ALN status and explore the association between radiomics and the tumor microenvironment in patients with early-stage invasive breast cancer. Methods: in this retrospective multicenter study, three independent cohorts of patients with breast cancer (n = 1,088) were used to develop and validate signatures predictive of ALN status. After applying the machine learning random forest algorithm to select the key preoperative MRI radiomic features, we used ALN and tumor radiomic features to develop the ALN-tumor radiomic signature for ALN status prediction by the support vector machine algorithm in 803 patients with breast cancer from Sun Yat-sen Memorial Hospital and Sun Yat-sen University Cancer Center (training cohort). By combining ALN and tumor radiomic features with corresponding clinicopathologic information, the multiomic signature was constructed in the training cohort. Next, the external validation cohort (n = 179) of patients from Shunde Hospital of Southern Medical University and Tungwah Hospital of Sun Yat-Sen University, and the prospective-retrospective validation cohort (n = 106) of patients treated with neoadjuvant chemotherapy in prospective phase 3 trials [{"type":"clinical-trial","attrs":{"text":"NCT01503905","term_id":"NCT01503905"}}NCT01503905], were included to evaluate the predictive value of the two signatures, and their predictive performance was assessed by the area under operating characteristic curve (AUC). This study was registered with ClinicalTrials.gov, number {"type":"clinical-trial","attrs":{"text":"NCT04003558","term_id":"NCT04003558"}}NCT04003558. Findings: the ALN-tumor radiomic signature for ALN status prediction comprising ALN and tumor radiomic features showed a high prediction quality with AUC of 0·88 in the training cohort, 0·87 in the external validation cohort, and 0·87 in the prospective-retrospective validation cohort. The multiomic signature incorporating tumor and lymph node MRI radiomics, clinical and pathologic characteristics, and molecular subtypes achieved better performance for ALN status prediction with AUCs of 0·90, 0·91, and 0·93 in the training cohort, the external validation cohort, and the prospective-retrospective validation cohort, respectively. Among patients who underwent neoadjuvant chemotherapy in the prospective-retrospective validation cohort, there were significant differences in the key radiomic features before and after neoadjuvant chemotherapy, especially in the gray-level dependence matrix features. Furthermore, there was an association between MRI radiomics and tumor microenvironment features including immune cells, long non-coding RNAs, and types of methylated sites. Interpretation this study presented a multiomic signature that could be preoperatively and conveniently used for identifying patients with ALN metastasis in early-stage invasive breast cancer. The multiomic signature exhibited powerful predictive ability and showed the prospect of extended application to tailor surgical management. Besides, significant changes in key radiomic features after neoadjuvant chemotherapy may be explained by changes in the tumor microenvironment, and the association between MRI radiomic features and tumor microenvironment features may reveal the potential biological underpinning of MRI radiomics.

Autoimmune diseases can be chronic with relapse of inflammatory symptoms, but it can be also acute and life-threatening if immune cells destroy life-supporting organs, such as lupus nephritis. The etiopathogenesis of autoimmune diseases has been revealed as that genetics and environmental factors-mediated dysregulated immune responses contribute to the initiation and development of autoimmune disorders. However, the current understanding of pathogenesis is limited and the underlying mechanism has not been well defined, which lows the development of novel biomarkers and new therapeutic strategies for autoimmune diseases. To improve this, broadening and deepening our understanding of pathogenesis is an unmet need. As genetic susceptibility cannot explain the low accordance rate of incidence in homozygous twins, epigenetic regulations might be an additional explanation. Therefore, this review will summarize current progress of studies on epigenetic dysregulations contributing to autoimmune diseases, including SLE, rheumatoid arthritis (RA), psoriasis, type 1 diabetes (T1D), and systemic sclerosis (SSc), hopefully providing opinions on orientation of future research, as well as discussing the clinical utilization of potential biomarkers and therapeutic strategies for these diseases.

Antimyeloperoxidase (anti-MPO) is regarded as one of the most important circulating autoantibodies for anti-neutrophil cytoplasm antibody (ANCA)-associated vasculitides (AAVs). Hence, it is crucial for highly sensitive detection of anti-MPO to monitor efficacy of AAVs in clinical diagnosis. Herein, a highly sensitive electrochemiluminescence (ECL) immunosensor for anti-MPO detection was constructed by combining reduced graphene oxide-supported PtCo nanocubes hybrids (PtCo@rGO) with hybridization chain reaction (HCR) as signal amplification. Multiple ECL luminophores (Dox-ABEI) prepared by cross-linking of N-(aminobutyl)-N-(ethylisoluminol) (ABEI) and doxorubicin (Dox) were intercalated into dsDNA products of HCR, achieving the effective immobilization of ECL luminophores to obtain strong ECL emission. Benefiting from the efficient catalytic activity of PtCo@rGO toward H2O2, the massive the superoxide radical (O2●-) were generated to further react with ABEI for ECL emission. Thus, the designed ECL immunoassay for anti-MPO detection exhibited excellent sensitivity of a concentration variation from 50 fg/mL to 1 ng/mL and a detection limit of 15.68 fg/mL. Importantly, this work proposed an enzyme-free ECL immunoassay with high sensitivity, excellent specificity for protein detection in clinical diagnosis.

Interleukin-21 (IL-21), an autocrine cytokine predominantly produced by follicular helper T (Tfh) and T helper 17 (Th17) cells, has been proven to play an important role in the immune system, for example, by promoting proliferation and the development of Tfh and Th17 cells, balancing helper T cell subsets, inducing B cell generation and differentiation into plasma cells, and enhancing the production of immunoglobulin. These effects are mainly mediated by activation of the JAK/STAT, MAPK and PI3K pathways. Some IL-21 target genes, such as B lymphocyte induced maturation protein-1 (Blimp-1), suppressor of cytokine signaling (SOCS), CXCR5 and Bcl-6, play important roles in the immune response. Therefore, IL-21 has been linked to autoimmune diseases. Indeed, IL-21 levels are increased in the peripheral blood and tissues of patients with systematic lupus erythematosus (SLE), rheumatoid arthritis (RA), type 1 diabetes (T1D), immune thrombocytopenia (ITP), primary Sjogren's syndrome (pSS), autoimmune thyroid disease (AITD) and psoriasis. This increased IL-21 even positively associates with Tfh cells, plasma cells, autoantibodies and disease activity in SLE and RA. Additionally, IL-21 has been utilized as a therapeutic target in SLE, RA, T1D and psoriatic mouse models. Profoundly, clinical trials have shown safety and improvement in RA patients. However, tolerance and long-term pharmacodynamics effects with low bioavailability have been found in SLE patients. Therefore, this review aims to summarize the latest progress on IL-21 function and its signaling pathway and discuss the role of IL-21 in the pathogenesis of and therapy for autoimmune diseases, with the hope of providing potential therapeutic and diagnostic strategies for clinical use.

We performed a meta-analysis to assess whether corticosteroids (C) plus (+) doublet immunosuppressive therapy (IT) is superior to the classical combination of C with single-agent IT in active proliferative lupus nephritis (LN).Randomized trials evaluating the benefits and risks of C+doublet versus single-agent IT in active proliferative LN were obtained by searching PubMed, EMBASE, and Cochrane Central Register. The primary outcome was overall response rate (ORR). The secondary outcomes were the change from baseline in Systemic Lupus Erythematosus Disease Activity Index (SLE-DAI) score, negative conversion ratio of anti-double-stranded DNA (anti-dsDNA), and adverse events. The PROSPERO registry number is CRD42017068491.Eleven trials with 1855 patients were included. Compared with C+single-agent IT, C+doublet IT had a significantly higher ORR (relative risk [RR], 1.22; 95% confidence interval [CI], 1.09 to 1.35; P 0.01). In a subgroup analysis, C+doublet IT without biologics had a significantly higher ORR than C+single-agent IT (RR, 1.30; 95% CI, 1.13 to 1.50; P 0.01), while C+doublet IT including biologics improved ORR only for refractory severe LN (RR, 1.46; 95% CI, 1.09 to 1.96; P = 0.012). A larger change from baseline in SLE-DAI scores (standardized mean difference, - 0.49; 95% CI, - 0.68 to - 0.30; P 0.01) and a higher negative conversion ratio of anti-dsDNA (RR, 1.34; 95% CI, 1.06 to 1.69; P = 0.014) were observed with C+doublet IT than with C+single-agent IT. The rates of adverse events were similar between the two regimens.Compared with single-agent IT, the combination of C and doublet IT without biologics improved clinical outcomes in active proliferative LN. Key Points • Compared with corticosteroids + single-agent immunosuppressive therapy, corticosteroids + doublet immunosuppressive therapy without biologics had a significantly higher overall response rate in active proliferative lupus nephritis. • Compared with corticosteroids + single-agent immunosuppressive therapy, corticosteroids + doublet immunosuppressive therapy including biologics improved overall response rate only for refractory severe lupus nephritis. • A larger change from baseline in SLE-DAI scores and a higher negative conversion ratio of anti-dsDNA were observed with corticosteroids + doublet immunosuppressive therapy than with corticosteroids + single-agent immunosuppressive therapy.

Key Points Question Can multiparametric magnetic resonance imaging (MRI) radiomic profiles be used to predict axillary lymph node metastasis (ALNM) and disease-free survival (DFS) in patients with early-stage breast cancer? Findings In this prognostic study that included 1214 patients, 2 clinical-radiomic nomograms were developed that accurately predicted ALNM and stratified patients into low-risk and high-risk groups for DFS. Meaning In this study, clinical-radiomic nomograms were useful in clinical decision-making associated with personalized selection of surgical interventions and therapeutic regimens for patients with early-stage breast cancer., This prognostic study develops and validates dynamic contrast–enhanced magnetic resonance imaging (DCE-MRI) radiomic signatures for preoperative identification of axillary lymph node metastasis and to assess individual disease-free survival in patients with early-stage breast cancer., Importance Axillary lymph node metastasis (ALNM) status, typically estimated using an invasive procedure with a high false-negative rate, strongly affects the prognosis of recurrence in breast cancer. However, preoperative noninvasive tools to accurately predict ALNM status and disease-free survival (DFS) are lacking. Objective To develop and validate dynamic contrast–enhanced magnetic resonance imaging (DCE-MRI) radiomic signatures for preoperative identification of ALNM and to assess individual DFS in patients with early-stage breast cancer. Design, Setting, and Participants This retrospective prognostic study included patients with histologically confirmed early-stage breast cancer diagnosed at 4 hospitals in China from July 3, 2007, to September 21, 2019, randomly divided (7:3) into development and vaidation cohorts. All patients underwent preoperative MRI scans, were treated with surgery and sentinel lymph node biopsy or ALN dissection, and were pathologically examined to determine the ALNM status. Data analysis was conducted from February 15, 2019, to March 20, 2020. Exposure Clinical and DCE-MRI radiomic signatures. Main Outcomes and Measures The primary end points were ALNM and DFS. Results This study included 1214 women (median [IQR] age, 47 [42-55] years), split into development (849 [69.9%]) and validation (365 [30.1%]) cohorts. The radiomic signature identified ALNM in the development and validation cohorts with areas under the curve (AUCs) of 0.88 and 0.85, respectively, and the clinical-radiomic nomogram accurately predicted ALNM in the development and validation cohorts (AUC, 0.92 and 0.90, respectively) based on a least absolute shrinkage and selection operator (LASSO)–logistic regression model. The radiomic signature predicted 3-year DFS in the development and validation cohorts (AUC, 0.81 and 0.73, respectively), and the clinical-radiomic nomogram could discriminate high-risk from low-risk patients in the development cohort (hazard ratio [HR], 0.04; 95% CI, 0.01-0.11; P

Three-dimensional (3D) imaging instead of two-dimensional (2D) computed tomography (CT) for diagnosis and preoperative planning in infants and young children with complex liver tumors is a promising technique for precision hepatectomy. This study was a retrospective analysis of 26 infants and young children with giant liver tumors involving the hepatic hilum who underwent precise hepatectomy at the Affiliated Hospital of Qingdao University between February 2012 and January 2015. All patients received upper abdominal contrast-enhanced CT scanning before surgery. 16 patients used Hisense CAS system for 3D reconstruction as the reconstruction group. While ten patients underwent 3D CT reconstruction by the CT Workstation as the control group. The clinical outcomes were analyzed and compared between the two groups. The 3D reconstruction of abdominal organs and blood vessels was generated using the Hisense CAS system. Diagnosis and preoperative planning assisted by the system was used for preoperative and intraoperative decision-making for precise hepatectomy. All patients underwent successful surgery. The 3D models clearly demonstrated the association of liver tumors with the intrahepatic vascular system and provided a preoperative assessment of resectability, assisting surgeons in preoperative procedural planning. Anatomic hepatectomy was successfully completed in the reconstruction group. The mean operation time was shorter in the reconstruction group (137.81 ± 17.51 min) than in the control group (192 ± 34.66 min) (P

Background The efficacy and safety of neoadjuvant treatment over surgery alone and that of neoadjuvant chemoradiotherapy (NCRT) over neoadjuvant chemotherapy (NCT) in resectable esophageal carcinoma remains inconclusive. This study (NewEC) used global data to comprehensively evaluate these comparisons and to provide a preferable strategy for patient subsets. Methods This study included a meta-analysis of randomized controlled trials (RCTs) identified from inception to May 2019 from PubMed, EMBASE, the Cochrane Central Register of Controlled Trials, ClinicalTrials.gov, and congresses and a registry-based cohort study with patients from Massachusetts General Hospital (Massachusetts, USA) and Guangdong Provincial People's Hospital (Guangzhou, China) recruited from November 2000 and June 2017, to cross-validate the comparisons among NCRT versus NCT versus surgery. The GRADE approach was used to assessed quality of evidence in meta-analysis. Neural network machine learning propensity score–matched analysis was used to account for confounding by patient-level characteristics in the cohort study. The primary endpoint was overall survival (OS). The study was registered with PROSPERO CRD42017072242 and ClinicalTrials.gov NCT04027543. Findings Of 22,070 studies assessed, there were 38 (n = 6,993 patients) eligible RCTs. Additionally, 423 out of 467 screened patients were included in the cohort study. The results from trials showed that NCT had a better OS than surgery alone (hazard ratio [HR] 0·88, 95% confidence interval [CI] 0·79–0·98; high quality) and was only favorable for adenocarcinoma (HR 0·83, 95% CI 0·72–0·96; moderate quality). High-quality evidence showed a significantly better OS for NCRT than surgery alone (HR 0·74, 95% CI 0·66–0·82) for both adenocarcinoma (HR 0·73, 95% CI 0·62–0·86) and squamous cell carcinoma (SCC) (HR 0·73, 95% CI 0·65–0·83). The OS benefit of NCRT over NCT was seen in the pairwise (HR 0·78, 95% CI 0·62–0·99; high quality) and network (HR 0·82, 95% CI 0·72–0·93; high quality) meta-analyses, with similar results before (HR 0·60, 95% CI 0·40–0·91) and after (HR 0·44, 95% CI 0·25–0·77) matching in the cohort study, leading to a significantly increased 5-year OS rate in both adenocarcinoma and SCC before and after matching. The increased benefits from NCT or NCRT were not associated with the risk of 30-day or in-hospital mortality. Interpretation NewEC Study provided high-quality evidence supporting the survival benefits of NCRT or NCT over surgery alone, with NCRT presenting the greatest benefit for resectable esophageal carcinoma. Funding National Science and Technology Major Project, the National Natural Science Foundation of China, the Natural Science Foundation of Guangdong Province, the Guangzhou Science and Technology Major Program, the Medical artificial intelligence project of Sun Yat-Sen Memorial Hospital, the Guangdong Science and Technology Department, the Guangdong Province Medical Scientific Research Foundation, and Guangdong Provincial People's Hospital Intermural Program.

This cohort study investigates whether MUC16 variation could be a useful biomarker for immune checkpoint inhibitor (ICI) therapy.

e16637 Background: Current guidelines lack definitive evidences about the predictive capability of clinical parameters for transcatheter arterial chemoembolization (TACE). The aim of this study was to comprehensively investigate the predictive factor among stage I-IV liver hepatocellular carcinoma (LIHC) patients after TACE. Methods: We investigated the clinical features of 211 stage I-IV patients with LIHC in discover group and 341 patients in validation group. Overall survival (OS) was estimated using the Kaplan-Meier method and the log-rank test. Results: Univariate Cox regression revealed that Monocyte count, TNM stage and AST-to-APOA ratio (AAR) were associated with unfavorable OS. AAR was identified as an independent predictor of OS using multivariate analysis. Kaplan-Meier curve demonstrated that patients with AAR < 50 displayed better prognosis. The median follow-up time was 17.1 (95%CI, 14.4 to 19.3) months, 3-year overall survival was 55.9% in the low AAR group versus 28.6% in the high AAR group, and there was significant difference in OS (Hazard ratio [HR] 0.47, 95%CI 0.33 to 0.67, P < 0.001). The AAR showed predictive ability for OS (12-month, AUC = 0.707). These findings were successfully validated in validation group (HR 0.62, 95%CI 0.46 to 0.84, P = 0.002; 12-month AUC = 0.636). Conclusions: AAR was an independent predictor among LIHC patients after TACE. Patients with lower AAR were optimal candidates for TACE.

This cohort study explores long noncoding RNA–based immune subtypes associated with survival and response to cancer immunotherapy and presents a novel long noncoding RNA score for immunotherapy prediction using computational algorithms., Key Points Question Are long noncoding RNAs (lncRNAs) associated with immune molecular classification and clinical outcomes of cancer immunotherapy? Findings This cohort study of 348 patients with bladder cancer from the IMvigor210 trial and 71 patients with melanoma from The Cancer Genome Analysis identified 4 distinct classes with different immunotherapeutic overall survival and response. An lncRNA score was developed that also was associated with survival and immunotherapy response. Meaning This study identifies novel lncRNA-based immune classes in cancer immunotherapy and provides an lncRNA score for integration into multiomic panels for precision immunotherapy., Importance Long noncoding RNAs (lncRNAs) are involved in innate and adaptive immunity in cancer by mediating the functional state of immunologic cells, pathways, and genes. However, whether lncRNAs are associated with immune molecular classification and clinical outcomes of cancer immunotherapy is largely unknown. Objectives To explore lncRNA-based immune subtypes associated with survival and response to cancer immunotherapy and to present a novel lncRNA score for immunotherapy prediction using computational algorithms. Design, Setting, and Participants In this cohort study, an individual patient analysis based on a phase 2, single-arm clinical trial and multicohort was performed from June 25 through September 30, 2019. Data are from the phase 2 IMvigor210 trial and from The Cancer Genome Atlas (TCGA). The study analyzed lncRNA and genomic data of 348 patients with bladder cancer from the IMvigor210 trial and 71 patients with melanoma from TCGA who were treated with immunotherapy. In addition, a pancancer multicohort that included 2951 patients was obtained from TCGA. Main Outcomes and Measures The primary end point was overall survival (OS). Results Among 348 patients from the IMvigor210 trial (272 [78.2%] male) and 71 patients with melanoma from TCGA (mean [SD] age, 58.3 [13.4] years; 37 [52.1%] female), 4 distinct classes with statistically significant differences in OS (median months, not reached vs 9.6 vs 8.1 vs 6.7 months; P = .002) were identified. The greatest OS benefit was obtained in the immune-active class, as characterized by the immune-functional lncRNA signature and high CTL infiltration. Patients with low vs high lncRNA scores had statistically significantly longer OS (hazard ratio, 0.32; 95% CI, 0.24-0.42; P

BACKGROUND: Current guidelines lack recommendations for the use of immunotherapy and immune-related biomarkers for hepatocellular carcinoma (HCC). We aim to provide reliable evidence of the association of survival with HCC immunotherapy and to demonstrate that genomic mutation signature could be an effective biomarker to predict immunotherapy efficacy of HCC patients. METHODS: We conducted a meta-analysis of 17 randomized trials with 2055 patients and an individual patient-level analysis of 31 patients. Trial data were identified in PubMed, EMBASE and Cochrane Central library, and individual patient data were obtained from the cBioPortal database. Overall survival (OS) and progression-free survival (PFS) were assessed with the hazard ratio (HR) and 95% CI. This study is registered with PROSPERO, number CRD42018083991. RESULTS: The meta-analysis showed that compared to conventional therapy, immunotherapy resulted in prolonged OS (HR =0.65, P

Background In this study, images of 2450 benign thyroid nodules and 2557 malignant thyroid nodules were collected and labeled, and an automatic image recognition and diagnosis system was established by deep learning using the YOLOv2 neural network. The performance of the system in the diagnosis of thyroid nodules was evaluated, and the application value of artificial intelligence in clinical practice was investigated. Methods The ultrasound images of 276 patients were retrospectively selected. The diagnoses of the radiologists were determined according to the Thyroid Imaging Reporting and Data System; the images were automatically recognized and diagnosed by the established artificial intelligence system. Pathological diagnosis was the gold standard for the final diagnosis. The performances of the established system and the radiologists in diagnosing the benign and malignant thyroid nodules were compared. Results The artificial intelligence diagnosis system correctly identified the lesion area, with an area under the receiver operating characteristic (ROC) curve of 0.902, which is higher than that of the radiologists (0.859). This finding indicates a higher diagnostic accuracy (p = 0.0434). The sensitivity, positive predictive value, negative predictive value, and accuracy of the artificial intelligence diagnosis system for the diagnosis of malignant thyroid nodules were 90.5%, 95.22%, 80.99%, and 90.31%, respectively, and the performance did not significantly differ from that of the radiologists (p > 0.05). The artificial intelligence diagnosis system had a higher specificity (89.91% vs 77.98%, p = 0.026). Conclusions Compared with the performance of experienced radiologists, the artificial intelligence system has comparable sensitivity and accuracy for the diagnosis of malignant thyroid nodules and better diagnostic ability for benign thyroid nodules. As an auxiliary tool, this artificial intelligence diagnosis system can provide radiologists with sufficient assistance in the diagnosis of benign and malignant thyroid nodules.

In recent years, the research on the pathogenesis of systemic lupus erythematosus (SLE) has been deepened, from the level of histopathology to the cellular and molecular biology, thus promoting the progress of SLE drug therapeutics. In March 2011, the United States Food and Drug Administration (FDA) approved the humanized monoclonal antibody, Belimumab for the treatment of SLE and put an end to the dilemma of no new drug available to SLE for more than half a century. On the other hand, the continuous evidence-based medical information has enabled rheumatologists to have a more comprehensive and depth understanding of the application of SLE traditional therapies, further improve the treatment strategy of SLE and put forward higher requirements for treatment goals. At the same time, advances in therapies have significantly improved survival rate of the patients, and the importance of long-term complications such as early-onset atherosclerosis and cardiovascular events has become increasingly apparent as a new challenge. In view of the hot issues of SLE clinical treatment, this paper introduces the research progress in recent years.

Autophagy is a complicated cellular mechanism that maintains cellular and tissue homeostasis and integrity via degradation of senescent, defective subcellular organelles, infectious agents, and misfolded proteins. Accumulating evidence has shown that autophagy is involved in numerous immune processes, such as removal of intracellular bacteria, cytokine production, autoantigen presentation, and survival of lymphocytes, indicating an apparent and important role in innate and adaptive immune responses. Indeed, in genome-wide association studies, autophagy-related gene polymorphisms have been suggested to be associated with the pathogenesis of several autoimmune and inflammatory disorders, such as systemic lupus erythematosus, psoriasis, rheumatoid arthritis, inflammatory bowel disease, and multiple sclerosis. In addition, conditional knockdown of autophagy-related genes in mice displayed therapeutic effects on several autoimmune disease models by reducing levels of inflammatory cytokines and autoreactive immune cells. However, the inhibition of autophagy accelerates the progress of some inflammatory and autoimmune diseases via promotion of inflammatory cytokine production. Therefore, this review will summarize the current knowledge of autophagy in immune regulation and discuss the therapeutic and pathogenic role of autophagy in autoimmune diseases to broaden our understanding of the etiopathogenesis of autoimmune diseases and shed light on autophagy-mediated therapies.

MicroRNAs (miRNAs) are small, single-stranded, endogenous non-coding RNAs that repress the expression of target genes via post-transcriptional mechanisms. Due to their broad regulatory effects, the precisely regulated, spatial-specific and temporal-specific expression of miRNAs is fundamentally important to various biological processes including the immune homeostasis and normal function of both innate and adaptive immune response. Aberrance of miRNAs is implicated in the development of various human diseases, especially cancers. Increasing evidence has revealed a dysregulated expression pattern of miRNAs in autoimmune diseases, among which many play key roles in the pathogenesis. In this review we summarize these findings on miRNA dysregulation implicated in autoimmune diseases, focusing on four representative systemic autoimmune diseases, i.e. systemic lupus erythematosus, rheumatoid arthritis, systemic sclerosis and dermatomyositis. The causes of the dysregulation of miRNA expression in autoimmune diseases may include genetic and epigenetic variants, and various environmental factors. Further understanding of miRNA dysregulation and its mechanisms during the development of different autoimmune diseases holds enormous potential to bring about novel therapeutic targets or strategies for these complex human disorders, as well as novel circulating or exosomal miRNA biomarkers.

Ethnopharmacological relevance Psoriasis is an immune system meditated disease, especially T cells. It disturbed many people around the world and hard to therapy. Paeonia lactiflora Pall has been used as a medicine in china for thousands of years. Recent studies found that the main component of Paeonia lactiflora Pall can alleviates the immune response in many diseases. In this study, we researched the effects and possible mechanisms of total glucosides of paeony (TGP) on animal psoriasis. Aim of the study To study the therapeutic effects and mechanisms of TGP in 5% propranolol cream-induced psoriasis in guinea pigs and Imiquimod (IMQ) cream-induced psoriasis in mice. Materials and methods The effect of TGP was evaluated using a psoriasis-like model of guinea pigs and mice. Ear thickness was accessed, and pathology injury was observed by H&E staining. The levels of serum IL-1β, IL-6, IL-12, IL-17, IL-23, TNF-α, and IFN-γ, skin IL-17A, IL-22 and orphan nuclear receptor (RORγt) mRNA expression, proliferating cell nuclear antigen (PCNA), total or phosphorylated signal transducers and activators of transcription (STAT1, STAT3) were determined by enzyme linked immunosorbent assays (ELISAs), real time PCR, immunohistochemical staining, and western blotting, respectively. Results Compared with model group, TGP treatment decreased the ear thickness, improved pathology of psoriasis, alleviated IMQ-induced keratinocyte proliferation, reduced the inflammatory cytokine, and downregulated IL-17A, IL-22, and RORγt mRNA in mice. Further study indicated that TGP inhibited STAT1 and STAT3 phosphorylation in lesion skins of psoriasis-like mice. Conclusions TGP alleviates the symptoms of psoriasis-like guinea pigs and mice, and the possible mechanism may relate to inhibit T helper 17 (TH17) cell differentiation and keratinocytes proliferation by inhibiting STAT1 and STAT3 phosphorylation.

This meta-analysis examines whether differences in biomarkers, such as programmed cell death ligand 1 (PD-L1) expression and tumor mutation burden, are associated with improved response to immunotherapy and survival in patients with advanced non–small cell lung cancer (NSCLC)., Key Points Question Is immunotherapy associated with beneficial outcomes for advanced non–small cell lung cancer and how can combination strategies and biomarkers be deployed to produce the best benefit? Findings In this meta-analysis including 14 395 patients and individual patient–level analysis including 1833 patients, immunotherapy was associated with improved survival, and pembrolizumab with platinum-based chemotherapy was identified as the best first-line checkpoint blockade strategy. Programmed cell death ligand 1 expression and tumor mutation burden jointly exhibited promising predictive and prognostic associations, and CD8+ T-cell tumor-infiltrating lymphocytes score further synergized with these 2 biomarkers. Meaning Integrated tumor microenvironment-based biomarkers may be an effective means to predict responsiveness to immunotherapy for patients with advanced non–small cell lung cancer., Importance The beneficial role of immunotherapy and the clinical relevance of current biomarkers in non–small cell lung cancer (NSCLC) remain inconclusive; thus, appropriate strategies and reliable predictors need further definition. Objectives To evaluate the association of clinical outcomes with immune checkpoint inhibitors, tumor vaccines, and cellular immunotherapy in patients with advanced NSCLC and to explore appropriate strategies, candidates, and predictors. Data Sources The PubMed, EMBASE, and Cochrane Central Register of Controlled Trials databases were searched from inception to June 2018, using relevant search keywords and Medical Subject Headings (MeSH) terms, including tumor vaccine, cellular immunotherapy, immune checkpoint inhibitor, cytotoxic T-lymphocyte-associated protein 4, programmed death-ligand 1, programmed death receptor 1, and non-small cell lung carcinoma. Systematic reviews, meta-analyses, references, and conference proceedings were manually searched. Study Selection English-language randomized clinical trials with available data that measured overall survival (OS), progression-free survival (PFS), or objective response rate comparing immune checkpoint inhibitors, tumor vaccines, or cellular immunotherapy with conventional therapy for patients with advanced or metastatic NSCLC were included. Thirty-one immunotherapy randomized clinical trials were included, and multicohort data included next-generation sequencing data from patients with advanced NCSLC. Data Extraction and Synthesis Hazard ratios and 95% CIs were pooled to estimate the survival increases in OS and PFS. Dichotomous data, such as object response rate data, were analyzed using the risk ratio. Mantel-Haenszel random-effects model was used. I2 was used to assess the heterogeneity between trials; an I2 value exceeding 50% indicated the existence of substantial heterogeneity. Analyses took place from February 1, 2018, to August 31, 2018. Main Outcomes and Measures Primary outcomes were OS and PFS. Results In total, 14 395 patients (9500 [66.0%] men) were included in the meta-analysis, and 1833 patients (mean [SD], 65.2 [9.9] years; 1063 [58.0%] men) were included in the individual patient–level study. Compared with conventional therapy, immunotherapy was associated with significantly longer OS (hazard ratio, 0.76; 95% CI, 0.71-0.82; P

2573 Background: Atezolizumab, a programmed death ligand 1 (PD-L1) inhibitor, prolonged overall survival (OS) compared with docetaxel among patients with previously treated advanced non–small-cell lung cancer (NSCLC) in two independent multicentre, randomized trials (POPLAR and OAK). We conducted a combined analysis of the two trials to evaluate its efficacy and genomic biomarkers, and to further developed a novel predictive clinicopathologic-genomic nomogram of immunotherapy in NSCLC. Methods: Patients (N = 1,137) with stage IIIB/IV NSCLC and disease progression after previously platinum-based chemotherapy were randomly assigned (1:1) to receive atezolizumab (1200 mg/kg every 3 weeks) or docetaxel (75 mg/m2 every 3 weeks). The primary endpoint was OS. We applied a two-stage meta-analysis of pooled individual patient data in the intention-to-treat population. In OAK trial, patients treated with atezolizumab were randomly assigned (1:1) to the training group or the validation group to develop a predictive clinicopathologic-genomic nomogram of immunotherapy. POPLAR and OAK were registered with ClinicalTrials.gov, numbers NCT02008227 and NCT01903993. Results: In the pooled analysis, the median overall survival was 13.49 months (95% confidence interval [CI], 11.95 to 15.22) with atezolizumab versus 9.66 months (95% CI, 8.73 to 10.70) with docetaxel. The risk of death was 28% lower with atezolizumab than with docetaxel (hazard ratio [HR], 0.72; 95% CI, 0.62 to 0.83; P < 0.001). The race, sex, tumor histology, eastern cooperative oncology group performance status, PD-L1 expression, and especially pretreatment mutation (TP53, DNMT3A and KEAP1) were significantly associated with OS, and were used for the development of the predictive nomogram. The clinical use of the nomogram showed a closer association with 3-year OS than the blood-based tumor mutational burden (bTMB) or PD-L1 expression alone (nomogram, AUC = 0.818; bTMB, AUC = 0.701; PD-L1, AUC = 0.526) among NSCLC patients who had received atezolizumab. The superior predictability of the nomogram was further confirmed in the validation and entire OAK cohorts. Conclusions: Among patients with advanced, previously treated NSCLC, OS was significantly better with atezolizumab than with docetaxel. Furthermore, we constructed a novel and powerful clinicopathologic-genomic nomogram for personalized immunotherapy options.

e14087 Background: Immune-related adverse events (irAEs) have been shown to be associated with the efficacy of immune checkpoint inhibitors in patients with advanced cancer, but the reported effect sizes have varied greatly in previous trials. We did a meta-analysis to assess immune checkpoint inhibitors efficacy and further explored the correlation of irAEs with efficacy in cancer. Methods: We systematically searched database inception to January, 2019 for randomized trials of immune checkpoint inhibitor in patients with advanced cancer that had available data for overall survival (OS) and progression-free survival (PFS), and irAEs. We calculated the pooled hazard ratios (HRs) and 95% confidence intervals [CIs] using a random-effects model, and assessed the association between the irAEs and PFS or OS using coefficient of determination ( R²). The PROSPERO registry number is CRD42017075610. Results: Thirty eight trials with 19,521 patients were included. Compared with conventional therapy, anti-PD-1 or PD-L1 combined with conventional therapy significantly enhanced survival (HR = 0.62, 95% CI 0.53 to 0.72 for PFS; HR = 0.71, 95% CI 0.58 to 0.87 for OS), and anti-PD1 or PD-L1 combined with anti-CTLA4 (HR = 0.75, 95% CI 0.63 to 0.90 for PFS). Anti-CTLA4 plus conventional therapy prolonged PFS (HR = 0.80, 95% CI 0.72 to 0.89) and OS (HR = 0.80, 95% CI 0.66 to 0.96) than conventional therapy alone. Anti-PD1 or PD-L1 outperformed anti-CTLA4 on OS (HR = 0.68, 95% CI 0.57 to 0.81). Significant correlation between treatment efficacy and irAEs was only identified in pneumonitis ( R2 0.59, P = 0.026 for PFS) and diarrhea ( R2 0.22, P = 0.006 for OS). Conclusions: We recommended the concurrent use of immune checkpoint inhibitor and conventional therapy or dual immunotherapy as the most appropriate regimens for advanced cancer. Furthermore, development of pneumonitis and diarrhea were associated with survival outcome of immune checkpoint inhibitors in patients with advanced cancer.

e14122 Background: Our objective was to evaluate progression-free survival (PFS) and objective response rate (ORR) as surrogate end points for overall survival (OS) among patients with advanced non-small-cell lung cancer (NSCLC) in randomized trials of immunotherapy. Methods: Individual patient data (total N = 569 patients) were available from two multicentre, randomized, phase II/III trials (POPLAR and OAK). Analysis of OS, PFS and ORR were computed using the Kaplan-Meier estimates method and compared with the log-rank test, hazard ratios [HRs] and 95% confidence intervals [CIs] were calculated by using the Cox regression model. The surrogacy was evaluated using Spearman’s correlation coefficient (ρ) and coefficient of determination ( R²) between treatment effects on the surrogate end point and OS. We further validated the surrogacy in trial-level analysis with 26 NSCLC immunotherapy trials (total N = 12,094 patients) published prior to June 2018. Results: In the patient-level analyses, patients who achieved a response had better OS compared with nonresponders (HR 0.18; 95% CI, 0.11 to 0.29; P < 0.001). Greater OS was also observed in landmark anlyses at 6-month PFS (HR 0.21; 95% CI 0.11 to 0.39; P < 0.001) and 12-month PFS (HR 0.16; 95% CI 0.11 to 0.24; P < 0.001). PFS correlated with OS at the individual level (Spearman ρ = 0.37; P < 0.001). In the trial-level analysis, PFS moderately correlated with OS (Spearman ρ = 0.64; P < 0.001), and the R² was 0.50 (95% CI 0.39 to 0.64). Conclusions: In NSCLC immunotherapy trials, responders and patients with longer PFS had better OS. ORR and PFS are acceptable surrogates for OS in trials of immunotherapy, but caution must be taken when interpreting efficacy in the absence of OS data.

1094 Background: Breast cancer treatment with immunotherapy can improve clinical benefits, but the majority of patients did not respond to the treatment. To understand tumor–immune interactions in breast cancer, we identified novel microenvironment-based immune molecular subtypes. Methods: A training cohort of 1,394 breast cancer patients from the Molecular Taxonomy of Breast Cancer International Consortium profiled by RNA and DNA sequencing data were analyzed to calculate immune-related gene biomarkers and to assign prognostic categories using LASSO Cox regression model. Additionally, 969 patients from The Cancer Genome Atlas data set was used as an independent validation cohort. We further compared tumor mutation burden (TMB) and cytolytic activity (CYT) levels between different immune molecular subtypes. Results: Using the LASSO model, we established an immune molecular classifier based on following 5 features: IFN-γ signature, ICOSLG, TNFRSF14, Mast.cells.resting, and T.cells. CD4.memory.resting. Then we found that it contained two distinct microenvironment-based subtypes (immune class and non-immune class), characterized by significant differences in overall survival in the training cohort (hazard ratio [HR] 0.71; 95% confidence interval [CI] 0.61 to 0.81; P < 0.001) and in the validation cohort (HR 0.34; 95% CI 0.22 to 0.54; P < 0.001). We found an inverse association between immune gene expression and TMB levels (ρ = 0.096, P < 0.001). Immune class subtype patients with good prognosis had significantly lower TMB and higher CYT than did non-immune class subtype patients with poor prognosis (all, P < 0.05). The clinical use of the immune molecular subtypes showed a closer association with survival than did IFN-γ signature or PD-L1 expression (all, P < 0.05). The robustness of the immune molecular subtypes was confirmed in the validation cohort. Conclusions: We revealed novel immune molecular subtypes, which represented better utility in predicting breast cancer patients’ survival compared with IFN-γ signature or PD-L1, and could be an important guide for precision immunotherapy.

In this paper, it is presented that electromyography (EMG) is a shot noise based on the generation of EMG. A novel filter is proposed by applying a neural network (NN) ensemble where the noisy input signal and the desired one are the same in a learning process. Both incremental and batch mode are applied in the learning process of NNs that is better than generalized NN filters. This NN ensemble filter not only reduces additive and multiplicative white noise inside signals, but also preserves the signals' characteristics. In clinical EEG and EMG signals processing, the filter is capable of reducing EMG in the clinical EEG, and it is proved that there is randomness in EMG.

1082Background: Current guidelines lack definitive evidences about the relative benefits of locoregional surgery for the primary tumor in de novo stage IV breast cancer. The aim of this study was t...

Objective To explore the embryo development characteristics in Robertsonian translocations (RTs) in their preimplantation genetic diagnosis (PGD) cycles. Method A total of 37 RT carrier couples underwent 41 blastomere PGD cycles from August 2005 to September 2008. The development of 272 embryos was analyzed in their PGD cycles. Result(s) At D3, there were 161 high-grade embryos, including 59 normal/balanced embryos and 102 abnormal embryos. There was no difference between the normal/balanced embryo group and the abnormal embryo group in terms of the high-grade embryo percentage (64.84% vs 56.35%, p = 0.179). However, at D5–D6, the blastocyst percentage in the normal/balanced embryo group was significantly higher than that in the abnormal embryo group (43.96% vs 20.44%, p = 0.000). Conclusion(s) Normal/balanced embryos developed better and a self-selective mechanism may exist in the RTs' embryos at the blastocyst formation stage. Copyright © 2009 John Wiley & Sons, Ltd.

To provide more genetic information about meiotic segregation behavior and the possibility of interchromosomal effects (ICE) in spermatozoa from carriers of Robertsonian (Rob) translocations.Meiotic segregation behavior in spermatozoa from six carriers of Rob translocations, four t(13;14), one t(14;22) and one t(13;21), was investigated by dual fluorescence in-situ hybridization (FISH). Aneuploidy for chromosomes 18, X and Y was studied by triple FISH.The rate of normal/balanced spermatozoa resulting from alternate segregation ranged from 78.14 to 86.88%. The frequency of unbalanced spermatozoa resulting from adjacent segregation varied between 11.70 and 19.53%. The higher frequencies of aneuploidy for sex chromosome were observed in three Rob translocation carriers. In addition, the increased rates of diploid were found in two t(13;14) carriers.Alternate segregation is dominant in the different types of Rob translocations. Some carriers may be at an increased risk for ICE.

Although sperm dysfunction is the single most common cause of infertility, we have poor methods of diagnosis and surprisingly no effective treatment (excluding assisted reproductive technology). In this review, we challenge the usefulness of a basic semen analysis and argue that a new paradigm is required immediately. We discuss the use of at-home screening to potentially improve the diagnosis of the male and to streamline the management of the sub-fertile couple. Additionally, we outline the recent progress in the field, for example, in proteomics, which will allow the development of new biomarkers of sperm function. This new knowledge will transform our understanding of the spermatozoon as a machine and is likely to lead to non-ART treatments for men with sperm dysfunction.

Obstructive sleep apnea (OSA) is a serious disorder characterized by intermittent events of upper airway collapse during sleep. Snoring is the most common nocturnal symptom of OSA. Almost all OSA patients snore, but not all snorers have the disease. Recently, researchers have attempted to develop automated snore analysis technology for the purpose of OSA diagnosis. These technologies commonly require, as the first step, the automated identification of snore/breathing episodes (SBE) in sleep sound recordings. Snore intensity may occupy a wide dynamic range (>95 dB) spanning from the barely audible to loud sounds. Low-intensity SBE sounds are sometimes seen buried within the background noise floor, even in high-fidelity sound recordings made within a sleep laboratory. The complexity of SBE sounds makes it a challenging task to develop automated snore segmentation algorithms, especially in the presence of background noise. In this paper, we propose a fundamentally novel approach based on artificial neural network (ANN) technology to detect SBEs. Working on clinical data, we show that the proposed method can detect SBE at a sensitivity and specificity exceeding 0.892 and 0.874 respectively, even when the signal is completely buried in background noise (SNR

Second-harmonic generation (SHG) is proved to be a high spatial resolution, large penetration depth and non-photobleaching method. In our study, SHG method was used to investigate the normal and cancerous thyroid tissue. For SHG imaging performance, system parameters were adjusted for high-contrast images acquisition. Each x-y image was recorded in pseudo-color, which matches the wavelength range in the visible spectrum. The acquisition time for a 512×512-pixels image was 1.57 sec; each acquired image was averaged four frames to improve the signal-to-noise ratio. Our results indicated that collagen presence as determined by counting the ratio of the SHG pixels over the whole pixels for normal and cancerous thyroid tissues were 0.48±0.05, 0.33±0.06 respectively. In addition, to quantitatively assess collagen-related changes, we employed GLCM texture analysis to the SHG images. Corresponding results showed that the correlation both fell off with distance in normal and cancerous group. Calculated value of Corr 50 (the distance where the correlation crossed 50% of the initial correlation) indicated significant difference. This study demonstrates that SHG method can be used as a complementary tool in thyroid histopathology.

Dendritic cells (DCs) play important roles in the initiation of immune response and also in the maintenance of immune tolerance. Now, many kinds of regulatory DCs with different phenotypes have been identified to suppress immune response and contribute to the control of autoimmune diseases. However, the mechanisms by which regulatory DCs can be regulated to exert the immunosuppressive function in the immune microenvironment remain to be fully investigated. In addition, how T cells, once activated, can feedback affect the function of regulatory DCs during immune response needs to be further identified. We previously identified a unique subset of CD11bhiIalow regulatory DCs, differentiated from mature DCs or hematopoietic stem cells under a stromal microenvironment in spleen and liver, which can negatively regulate immune response in a feedback way. Here, we show that CD11bhiIalow regulatory DCs expressed high level of Fas, and endothelial stromal cell-derived TGF-β could induce high expression of Fas on regulatory DCs via ERK activation. Fas ligation could promote regulatory DCs to inhibit CD4+ T cell proliferation more significantly. Furthermore, Fas ligation preferentially induced regulatory DCs to produce IL-10 and IP-10 via ERK-mediated inactivation of GSK-3 and subsequent up-regulation of β-catenin. Interestingly, activated T cells could promote regulatory DCs to secrete more IL-10 and IP-10 partially through FasL. Therefore, our results demonstrate that Fas signal, at least from the activated T cells, can promote the immunosuppressive function of Fas-expressing regulatory DCs, providing a new manner for the regulatory DCs to regulate adaptive immunity. Background: Regulatory DCs are important in tolerance maintenance, whereas the mechanisms for maintaining their immunosuppressive function in immune microenvironment remain unclear. Results: Fas signal enhances the immunosuppressive function of splenic stroma-educated regulatory DCs via the ERK/β-catenin pathway. Conclusion: Fas signal, at least from activated T cells, enhances regulatory function of regulatory DCs. Significance: This study provides new mechanistic insight for immune homeostasis.