An exploratory study of paper sharing in Mendeley's public groups

Mendeley website is a representative academic social networking service. We aim to study how papers are shared in the public groups in Mendeley. The results show that 61.58% of the public groups were extremely small in size, containing only one member (the creator of the group). When it comes to paper sharing, 26.88% of the groups had no papers added to them. Large groups did exist, i.e. the groups having more than 1,170 members. Groups with large amount of papers also existed, i.e. groups having as many as 90,458 papers. On the other hand, there are top groups with high averages of paper readership; interestingly, these groups had small numbers of members and papers, both below 20. From the results of this research, the truth of online ecology on Mendeley website could be revealed. Taking an insight into the current condition helps group owners activate their groups, and also helps operators of Mendeley make decisions on improving services. Those improvements would make Mendeley a more advanced social platform for scholarly knowledge communication.ye

Data from a comparative proteomic analysis of tumor-derived lung-cancer CD105+ endothelial cells

AbstractIncreasing evidence indicates that tumor-derived endothelial cells (TECs) are more relevant for the study of tumor angiogenesis and for screening antiangiogenic drugs than normal ECs (NECs). In this data article, high-purity (>98%) primary CD105+ NECs and TECs purified from a mouse Lewis lung carcinoma model bearing 0.5cm tumors were identified using 2D-PAGE and Matrix-assisted laser desorption/ionization tandem mass spectrometry (MALDI-MS/MS). All the identified proteins were categorized functionally by Gene Ontology (GO) analysis, and gene-pathway annotated by Kyoto Encyclopedia of Genes and Genomes (KEGG). Finally, protein–protein interaction networks were also built. The proteomics and bioinformatics data presented here provide novel insights into the molecular characteristics and the early modulation of the TEC proteome in the tumor microenvironment

Predictors of lung adenocarcinoma with leptomeningeal metastases: A 2022 targeted-therapy-assisted molGPA model

Objective: To explore prognostic indicators of lung adenocarcinoma with leptomeningeal metastases (LM) and provide an updated graded prognostic assessment model integrated with molecular alterations (molGPA). Methods: A cohort of 162 patients was enrolled from 202 patients with lung adenocarcinoma and LM. By randomly splitting data into the training (80%) and validation (20%) sets, the Cox regression and random survival forest methods were used on the training set to identify statistically significant variables and construct a prognostic model. The C-index of the model was calculated and compared with that of previous molGPA models. Results: The Cox regression and random forest models both identified four variables, which included KPS, LANO neurological assessment, TKI therapy line, and controlled primary tumor, as statistically significant predictors. A novel targeted-therapy-assisted molGPA model (2022) using the above four prognostic factors was developed to predict LM of lung adenocarcinoma. The C-indices of this prognostic model in the training and validation sets were higher than those of the lung-molGPA (2017) and molGPA (2019) models. Conclusions: The 2022 molGPA model, a substantial update of previous molGPA models with better prediction performance, may be useful in clinical decision making and stratification of future clinical trials

Expression of plasma methylated Septin9 gene and its clinical significance in patients with gastric cancer

Background and purpose: Gastric cancer is one of the most common malignant tumors in our country. The diagnosis and treatment process of gastric cancer lacks of sensitive and specific biomarker. This study aimed to explore the expression of plasma methylated Septin9 gene (mSEPT9) and its clinical significance in patients with gastric cancer. Methods: From April 2020 to November 2020, 221 patients with gastric cancer and 34 patients with no evidence of disease who visited Zhongshan Hospital Fudan University were enrolled. The status of mSEPT9 was detected by polymerase chain reaction (PCR) fluorescence probe method, and relative mSEPT9 value was determined by the ΔΔCt method. Detailed clinical data including pathological characteristics (patients characteristics and pathology characteristics) and serum biomarkers [carcinoembryonic antigen (CEA), carbohydrate antigen (CA)12-5, CA19-9 and CA72-4] were collected and analyzed. Paired t test, χ2 test and receiver operating characteristic (ROC) curve analysis were performed for statistical analysis. Results: The positive rate, sensitivity and specificity of plasma mSEPT9 were 35%, 35% and 100%, respectively in untreated patients with gastric cancer. The positive rate of mSEPT9 was higher in patients with blood vessel invasion, serosa invasion and lymphatic metastasis, which was 46.87% vs 12.50%, 45.16% vs 14.29%, 75.00% vs 40.00%, respectively (P<0.05). The positive rate of mSEPT9 was higher in progressive disease (PD) patients than in partial response (PR) and stable disease (SD) patients, which were 68.75% and 17.74%, the differences were statistically significant (P<0.05). mSEPT9 level before PD and at the time of PD showed statistically significance. Conclusion: Plasma mSEPT9 detection demonstrates a more satisfactory diagnostic performance in gastric cancer than traditional serum biomarkers. The biomarker can provide information regarding severity with high positive rate among PD patients. The status and level of mSEPT9 were of clinical significance in evaluating tumor burden and predicting treatment response

Single-cell RNA sequencing reveals cell type-specific immune regulation associated with human neuromyelitis optica spectrum disorder

IntroductionOne rare type of autoimmune disease is called neuromyelitis optica spectrum disorder (NMOSD) and the peripheral immune characteristics of NMOSD remain unclear.MethodsHere, single-cell RNA sequencing (scRNA-seq) is used to characterize peripheral blood mononuclear cells from individuals with NMOSD.ResultsThe differentiation and activation of lymphocytes, expansion of myeloid cells, and an excessive inflammatory response in innate immunity are observed. Flow cytometry analyses confirm a significant increase in the percentage of plasma cells among B cells in NMOSD. NMOSD patients exhibit an elevated percentage of CD8+ T cells within the T cell population. Oligoclonal expansions of B cell receptors are observed after therapy. Additionally, individuals with NMOSD exhibit elevated expression of CXCL8, IL7, IL18, TNFSF13, IFNG, and NLRP3.DiscussionPeripheral immune response high-dimensional single-cell profiling identifies immune cell subsets specific to a certain disease and identifies possible new targets for NMOSD