bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Characteristics Comparison of Breast Cancer Patients in Southern China and America: A Multicentre Study in China Versus SEER Database
Authors: Niu Yingjie , Zhang Fan , Chen Dong , Ye Guolin , Li Yong , Zha Yong , Chen Wenlin , Liu Dequan , Liao Xiaoming , Huang Qinghua , Tang Wei , Cai Gengxi , Guo Rong , Li Hongyang , Tang Shicong 
Published: October 2020

Abstract
Background and Objective: The morbidity and mortality of breast cancer are increasing in recent years, which had become the second main cause of cancer death in women. However, there are different characteristics of breast cancer in developing countries and developed countries. What’s more, it has not reported the comparison of breast cancer between southern China and the United States. We intend to compare the age, different stages and grades of tumor and treatment methods, in order to study the factors which influence the survival and prognosis of breast cancer patients. Methods: To study the two groups which have been diagnosed with breast cancer in southern China from 2001 to 2016 and SEER database from 1975 to 2016. To register, collect and analyze the clinicopathological features and treatment information. To follow up the patients who have been diagnosed before 2016. Kaplan-Meier method was used to evaluate disease-free survival (DFS) and overall survival (OS). Results: Young breast cancer patients accounted for 19.8% and 6.14% respectively in southern China and SEER cohort. The early diagnostic rate of breast cancer is high in southern China, but still lower than SEER cohort. Our study found that there are significant differences in tumor size and positive lymph node status between southern China and SEER cohort (P=0.000), which notably affect the OS of breast cancer patients (P=0.018 and P=0.000). Furthermore, KI-67 is also an important prognostic factor of breast cancer patients in southern China, which also affect the OS of patients (P=0.034). In treatment, there are also significant differences between the two regions. In southern China, there are 4.91% of breast cancer patients performed breast conserving surgery and 95.09% patients performed mastectomy. But in SEER cohort, there are only 4.91% patients preformed breast surgery. Conclusions: The age, tumor size, positive-node and KI-67 may cause the difference of morbidity and mortality of breast cancer patients in southern China and SEER cohort. Overall, the prognosis of breast cancer patients in SEER cohort is better than southern China.
Small Intestinal Perforation During Neoadjuvant Chemotherapy for Locally Advanced Rectal Cancer: A Case Report
Authors: Jin Zechuan , He Du , Shen Yu , Deng Xiangbing , Wang Ziqiang 
Published: October 2020

Abstract
Background: For patients with locally advanced rectal cancer, side effects such as nausea, vomiting and loss of appetite may occur during neoadjuvant chemotherapy, but small intestinal perforation is very rare.Case presentation: We present a case of a 62-year-old man who suffered small intestinal perforation in the first cycle neoadjuvant treatment of locally advanced rectal cancer with capecitabine and oxaliplatin. Six days after the start of neoadjuvant chemotherapy, he began to develop intermittent abdominal pain, accompanied by diarrhea and abdominal distension. The CT scan revealed an abscess with free air in the pelvic cavity with proximal intestinal ileus. Then we performed a laparotomy. After enterolysis, the rectum with tumor was carefully examined with no perforative lesion, and the terminal ileum about 15cm from the ileocecum which adhere to the pelvic abscess had one about 0.8cm ulcer. The patient had a radical anterior resection and the morbid small bowel resection with protective ileostomy. The postoperative pathological examination showed the full-thickness necrosis of the intestinal wall in the ileal lesion with peripheral acute suppurative inflammation. AND the final pathological stage of the tumor was pT3N0M0 (American Joint Committee on Cancer, eighth edition).Conclusion: As a chemotherapy regimen based on fluorouracil and oxaliplatin, small intestinal perforation is a very rare complication. The most common complications of these two drugs are gastrointestinal symptoms such as diarrhea. Therefore, when the complications are not relieved during chemotherapy, we should think of a more serious possibility.
Expression Profiles and Prognostic Values of BOLA Family members in Ovarian Cancer
Authors: Zhu Mingyang , Xiao Shiqi 
Published: October 2020

Abstract
Background: The BOLA gene family, comprising 3 members, is mainly involved in the regulation of intracellular iron homeostasis. Emerging evidence suggests that BOLA family member 2 play vital roles in tumorigenesis and progression of hepatic cellular carcinoma. However, little known about its roles in ovarian cancer. Methods: In present study, we investigated the expression profiles, prognostic roles, and genetic alterations of three BOLA family members in patients with ovarian cancer through several public databases, containing Oncomine and Gene Expression Profiling Interactive Analysis, Human Protein Atlas, Kaplan–Meier plotter and cBioPortal. Then, we constructed the protein–protein interaction networks of BOLA proteins and their interactors by using String database and Cytoscape software. In addition, we performed the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment by the Annotation, Visualization, and Integrated Discovery database. Finally, we explored the mechanisms underlying the involvement of BOLA family members in OC by using gene set enrichment analysis. Results: The mRNA and protein expression levels of BOLA2 and BOLA3 were heavily higher in ovarian cancer tissues than that in normal ovarian tissues. Dysregulated mRNA expressions of three BOLA family members were significantly associated with prognosis in overall or subgroup analysis. Moreover, genetic alterations also occurred in three BOLA family members in ovarian cancer. Network analysis and enrichment analysis indicated that three BOLA family members and their 20 interactors were mainly associated with metal-ion binding and protein disulfide oxidoreductase activity. Gene set enrichment analysis indicated that BOLA family members were mainly associated with oxidative phosphorylation, proteasome, protein export and glutathione metabolism in ovarian cancer. Conclusions: In brief, the present comprehensive bioinformatics analysis revealed that BOLA1, 2, and 3 may be new prognostic biomarkers, and BOLA2 and BOLA3 may be a potential therapeutic target of precision therapy for patients with ovarian cancer, but further studies are demanded to certify this notion.
A Nonsense Mutation in VHL Gene Causing Von Hippel-lindau Syndrome in a Large Chinese Family
Authors: Ding Xinghuan , Liang Tingyu , Li Ben , Liang Bo , Li Peiliang , Chen Shichao , Li Jingjing , Wang Fang , Wang Shanjun , Cao Yang , Sun Jidian , Zheng Xinmei , Wang Xiaoyong , Wang Tongxin , Feng Enshan 
Published: October 2020

Abstract
BackgroundVon Hippel-Lindau (VHL) syndrome is a multi-organ neoplastic disease characterized by highly vascular and cystic tumors in central nervous system (CNS), retina and visceral lesions, which is mainly caused by germline mutations in the VHL gene. MethodsHere, a large consanguineous four-generation family with variant phenotypes of VHL disease was recruited and molecular genetics tested via Sanger sequencing. ResultGenetic investigation detected a c.351G>A nonsense mutation in the VHL gene, that altered the reading frame downstream and created a premature TGA stop signal, resulting in severely truncated pVHL (p.Trp117Ter). This mutation is absent from public databases, and the functional prediction bioinformatic tools demonstrated that the residue is conserved and the variant is highly likely to be deleterious. ConclutionThe c.315G>A nonsense mutation in VHL gene is the causal mutation of this kindred that may lead to clear familial aggregation of VHL disease because of the dysfunction of truncated pVHL.
Analysis of Toxicity Profile and Predictors of Immune Checkpoint Inhibitor-Related Adverse Events
Authors: Bai Rilan , Chen Naifei , Chen Xiao , Li Lingyu , Song Wei , Li Wei , Zhao Yuguang , Zhang Yongfei , Han Fujun , Lv Zheng , Cui Jiuwei 
Published: October 2020

Abstract
Background and objectiveIn recent years, a wide variety of immune checkpoint inhibitors (ICIs) is emerging and has shown long-lasting and significant efficacy in the treatment of various malignant tumors. However, about 10% of patients experience serious and even life-threatening immune-related adverse events (irAEs). Fully understanding the characteristics of toxic effects and biomarkers to predict irAEs is, therefore, of great interest. We aimed to retrospectively analyze the toxicity profile and predictors of irAEs, as well as the correlation between irAEs and clinical efficacy in patients with advanced pan-cancer who were treated with multi-type ICIs in real-world.MethodsWe retrospectively analyzed data from 105 patients with advanced pan-cancer who were treated with multi-type ICIs in the First Hospital of Jilin University from Jan 1, 2016 to Aug 1, 2020. We used logistic regression analyses to investigate associations between irAEs and clinical baseline characteristics, blood count parameters, and biochemical indicators during the treatment. Receiver-operating characteristic (ROC) curve was used to determine a cutoff value for parameters and area under the curve (AUC). Kaplan–Meier and cox multivariate regression analysis were performed to estimate the relationship of baseline characteristics and irAEs with progression-free survival (PFS) and overall survival (OS).ResultsWe found that lower relative lymphocyte count (RLC) (cutoff=0.285*10^9/L), higher albumin (ALB) (cutoff=39.05g/L) and higher absolute eosinophil count (AEC) (cutoff=0.175*10^9/L) were significantly associated with the occurrence of any irAEs, of which a higher AEC (cutoff=0.205*10^9/L) was strongly associated with skin-related irAEs (HR=0.163, p=0.004); And a higher lactate dehydrogenase (LDH) level (cutoff=237.5U/L) was an independent predictor of serious irAEs (HR=0.199, p=0.022). In the analysis of immune cell subgroup, lower absolute CD8+CD28- T cell count (HR=0.806; 95%CI: 0.643-1.011; p=0.062), a regulatory T lymphocytes, was associated with the occurrence of irAEs, although the difference was not statistically significant; And a higher percentage of CD19+ B cells were associated with the occurrence of serious irAEs and irAEs of grade ≥2 (p＜0.05). In addition, our study showed that patients with any grade irAE had a significantly better PFS (8.37 vs.3.77 months, HR=2.02, p=0.0038) and OS (24.77 vs.13.83 months, HR=1.78, p=0.029).ConclusionsThis retrospective study reported the clinical profile data of irAEs of unselected patients in the real world, and explored some parameters that may all be conventional, potentially predictable markers of the occurrence, type, or grade of irAEs in clinical practice. Evidence of a correlation between safety and efficacy may contribute to fully assess the risk-benefit ratio for patients treated with ICIs.
­­The Effects of Vagus Nerve Stimulation Mediated Protection of Intestinal Epithelial Glycocalyx on Acute Lung Injury Associated With Traumatic Hemorrhagic Shock/Resuscitation
Authors: Wu Juan , Yin Yushuang , Qin Mingzhe , Li Kun , Liu Fang , Zhou Xiang , Song Xiaoyang , Li Bixi 
Published: October 2020

Abstract
BackgroundAcute lung injury (ALI) is a common complication after THS/R, and vagus nerve stimulation (VNS) could alleviate lung injury by activating cholinergic anti-inflammatory pathway (CAP) during traumatic hemorrhagic shock/resuscitation (THS/R). The purpose of this study was to explore the effects of VNS on intestinal epithelial glycocalyx and acute lung injury associated with THS/R.MethodsSprague-Dawley rats were subjected to traumatic hemorrhagic shock/ resuscitation to induce ALI. The measurements of intestinal barrier permeability, intestinal epithelial glycocalyx, and the level of inflammation factors and histology of lung and gut tissue were made in each group.ResultsThe level of TNF-α，IL-6 and MPO in lung and gut tissue were significantly decreased in the VNS-treated group. In addition, the shedding of intestinal epithelial glycocalyx and increased gut barrier permeability were alleviated in the VNS-treated group, and the gut tissue and lung tissue injury were mitigated in the VNS-treated group. However, pretreated with methyllycaconitine could reverse the protective effect of VNS.ConclusionsVNS could relieve lung injury associated with THS/R by alleviating the damage of intestinal epithelial glycocalyx, which might be achieved by activating CAP.
Performance Analysis of PEMFC&nbsp;Based Grid-connected Distributed Generation System
Authors: AKPOLAT Alper Nabi , Dursun Erkan 
Published: October 2020

Abstract
Background: Less energy consumption and more efficient use of fossil-fueled technologies are among the sustainable energy targets of modern societies. The essential activities to be achieved under these objectives are to increase the distributed generation structures and increase their applicability. The distributed generation (DG) is a small-scale version of the traditional power grid, which is supported by micro turbines, hydrogen fuel cells, wind turbines, photovoltaic (PV) modules, combine heat and power systems, and energy storage units. Methods: The aim of this research is to detail performance analyze and unit sizing of proton-exchange membrane fuel cell (PEMFC)-based grid-connected distributed generation system with the help of empirical calculations. To this end, we tried to establish the system and analyze the performance of reliable operation of the system with experimental verifications.Results and Conclusions: The results demonstrate the situation of annual production about how much rated power can be generated through the real meteorological data to dispatch the power to the constant variable loads. While, 53.56% of the total energy demand is met by the utility grid, 46.44% of the demand is met by the produced energy i.e., from microgrid. The PEMFC based hybrid microgrid at Marmara University, Faculty of Technology was analyzed in detail in this study. According to the results of the performance analysis, the important points that will be highlighted and will help the researchers working in this field are as follows. Our results are encouraging and can be validated by a larger sample size with the fine weather conditions in terms of the percentage of procurement of energy.
Upregulation of Small Nucleolar RNA 78 Promotes Cell Proliferation and Invasion of Breast Cancer
Authors: Nong Qiaohong , Wang Shubin , Li Zhu , Tong Gangling , Yu Shaokang , Hu Hui 
Published: October 2020

Abstract
OBJECTIVE: Recent studies suggest that abnormal snoRNA expression may play crucial role in tumor development and progression. In the study, we aim to explore the clinical significance and functional role of Small nucleolar RNA 78 (SNORD78) in breast cancer.PATIENTS AND METHODS: The expression of SNORD78 in 92 breast cancer and adjacent non tumor tissues was analyzed by quantitative real time polymerase chain reaction (qRT-PCR). The association between SNORD78 expression and clinicopathological factors was evaluated. The biological functions in vitro were examined by MTT cell proliferation, colony formation and transwell invasion assays. QRT-PCR and Western blot assays were used to analyze the mRNA and protein expression of WNT1, GSK3β and β-catenin.RESULTS: SNORD78 expression showed a significant increase in breast cancer tissues and cell lines. Higher SNORD78 expression positively was related to lymph node metastasis and TNM stage in patients. Furthermore, knockdown of SNORD78 inhibited the abilities of cell proliferation, colony formation, and cell invasion in MDA-MB-231 and SKBR-3 cells. Moreover, we demonstrated that knockdown of SNORD78 inhibited WNT/β-catenin signaling pathway in MDA-MB-231 and SKBR-3 cells via downregulating the relative protein expression of WNT1 and β-catenin and upregulating the GSK3β expression.CONCLUSION: Our results indicated that SNORD78 may be potential therapeutic target for breast cancer.
Intrauterine SARS-CoV-2 infection – a case confirming transplacental&nbsp;transmission followed by divergence of the viral genome
Authors: Zaigham Mehreen , Holmberg Anna , Karlberg Maria Lind , Lindsjö Oskar Karlsson , Jokubkiene Ligita , Sandblom Johan , Strand Anna Söderlund , Andersson Ola , Hansson Stefan R. , Nord David Gisselsson , Tannenberg Philip 
Published: October 2020

Abstract
Pregnant women and their newborns may be at particular risk for poor outcomes due to the coronavirus (COVID-19) pandemic. Intrauterine SARS-CoV-2 transmission has been suggested but most reports have not ruled out postpartum infection. We demonstrate a confirmed case of transplacental transmission of SARS-CoV-2 in a neonate born to a mother infected in the third trimester. Comprehensive virological, pathological and genetic investigations establish that intrauterine SARS-CoV-2 transmission occurred via the following chain of events; I) maternal viremia in a seemingly mildly symptomatic patient, II) high viral load in the placenta with massive perivillous fibrin deposition, acute intervillositis in areas with strong positivity for SARS-CoV-2 and chorangiosis in the areas less affected by infection and inflammation, III) intrauterine fetal distress with pathological cardiotocography and acidemia in validated umbilical cord blood gases and IV) mild neonatal COVID-19. Whole genome sequencing of isolates from the mother and placenta revealed a single variant of the virus. Interestingly, the neonate displayed a mixed SARS-CoV-2 population, harboring both an identical strain to the mother as well as a population with one single-nucleotide polymorphism difference, indicating intrapatient genetic drift.
Rapid screening of secondary aromatic metabolites in Populus trichocarpa leaves
Authors: Harman-Ware Anne Elizabeth , Martin Madhavi , Engle Nancy L. , Doeppke Crissa , Tschaplinski Timothy J. 
Published: October 2020

Abstract
Background High-throughput metabolomics analytical methodology is needed for population-scale studies of bioenergy-relevant feedstocks such as poplar (Populus sp.). Here, the authors report the relative abundance of secondary aromatic metabolites in Populus trichocarpa leaves rapidly estimated using pyrolysis-molecular beam mass spectrometry (py-MBMS). A training set of leaves was analyzed in conjunction with GC/MS analysis of extracts to determine key spectral features associated with the aromatic metabolites and build PLS models to predict the relative composition of extractable aromatic metabolites in a second test set of leaves. The relative abundance of major secondary aromatic metabolites for the test set of leaves was validated by GC/MS analysis of extracts. Results The Pearson correlation coefficient for the relative abundance of aromatic metabolites based on ranking between GC/MS analysis and py-MBMS analysis of the test leaf set was 0.86 with R2 = 0.76 using a simplified prediction approach from select ions in MBMS spectra. Metabolites most influential to py-MBMS spectral features in the training set included the following compounds: catechol, salicortin, salicyloyl-coumaroyl-glucoside, a-salicyloylsalicin, tremulacin, and to a lesser degree: benzyl-coumaroyl glucoside, benzoyl-salicyloylsalicin, tremuloidin, salireposide, trichocarpin, salicylic acid, salicyl-salicylic acid-2-O-glucoside, phenethyl-tremuloidin, coumaroyl-tremuloidin, 2,6-cyclohexadiene-1,2-diol, and salicyl-tremuloidin. Ions in py-MBMS spectra with the highest correlation to the abundance of aromatic secondary metabolites, particularly those previously mentioned as determined by GC/MS analysis of extracts, included m/z 68, 71, 77, 91, 94, 105, 107, 108, and 122, and were used to develop the simplified prediction approach without PLS models or a priori measurements. Conclusions The simplified py-MBMS method is capable of rapidly screening leaf tissue for relative abundance of extractable aromatic secondary metabolites to enable prioritization of samples in large populations requiring comprehensive metabolomics that will ultimately inform plant systems biology models and advance the development of optimized biomass feedstocks for renewable fuels and chemicals.
DenseNet Convolutional Neural Networks Application for Predicting COVID-19 Using CT Image
Authors: Hasan Najmul , Bao Yukun , Shawon Ashadullah 
Published: October 2020

Abstract
Public health and human lives recently have been impacted by the devastating effect of Coronavirus 2019. This catastrophic effect has destroyed the human experience by creating a chaotic healthcare situation infinitely more destructive than the Second World War. Strong communicable characteristics of COVID-19 among human communities make the world’s situation a severe pandemic. Due to the unavailable vaccine of COVID-19 to control rather than cure, early and accurate detection of the virus can be a promising technique for tracking and preventing the infection spreading (e.g., by isolating the patients). This situation indicates to improve auxiliary COVID-19 detection technique. Computed tomography (CT) imaging is a mostly used technique for pneumonia because of its common availability. The application of artificial intelligence systems integrated with images can be a promising alternative for the identification of COVID-19. This paper presents a promising technique of predicting COVID-19 patients from the CT image using convolutional neural networks (CNN). The novel approach is based on DenseNet is the updated CNN architecture in the present state to detect COVID-19. The results outperformed 92% accuracy, with 95% recall showing good performance for the identification of COVID-19.
Drug Design and Repurposing with DockThor-VS Web Server: Virtual Screening focusing on SARS-CoV-2 Therapeutic Targets and their Non-Synonym Variants
Authors: Guedes Isabella A. , Costa Leon S. C. , Santos Karina B. dos , Karl Ana L. M. , Rocha Gregório K. , Teixeira Iury M. , Galheigo Marcelo M. , Medeiros Vivian , Krempser Eduardo , Custódio Fábio L. , Barbosa Helio J. C. , Nicolás Marisa F. , Dardenne Laurent E. 
Published: October 2020

Abstract
The COVID-19 caused by the SARS-CoV-2 virus was declared as a pandemic disease in March 2020 by the World Health Organization (WHO). Structure-Based Drug Design strategies based on docking methodologies have been widely used for both new drug development and drug repurposing to find effective treatments against this disease. In this work, we present the developments implemented in the DockThor-VS web server to provide a virtual screening (VS) platform with curated structures of potential therapeutic targets from SARS-CoV-2 incorporating genetic information regarding relevant non-synonymous variations. The web server facilitates repurposing VS experiments providing curated libraries of currently available drugs on the market. Currently, DockThor-VS provides ready-for-docking 3D structures for wild type and selected mutations for Nsp3 (papain-like, PLpro domain), Nsp5 (Mpro, 3CLpro), Nsp12 (RdRp), Nsp15 (NendoU), N protein and Spike. We performed VS experiments of FDA-approved drugs considering the therapeutic targets available at the web server to assess the impact of considering different structures and mutations in the identification of possible new treatments of SARS-CoV-2 infections. The DockThor-VS is freely available at www.dockthor.lncc.br.