tbuckley/cabot-search huggingface dataset:
Cause‐specific mortality following polycythemia vera, essential thrombocythemia, and primary myelofibrosis in the US population, 2001–2017
Authors: Graça M. Dores, Rochelle E. Curtis, Martha S. Linet, Lindsay M. Morton
Journal: American Journal of Hematology (2021)

A B L E 1 Cause-specific risk of death among individuals diagnosed with polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF) between ages 20-84 years,
Refined diagnostic criteria for bone marrow mastocytosis: a proposal of the European competence network on mastocytosis
Authors: Roberta Zanotti, Massimiliano Bonifacio, Giuseppe Lucchini, Wolfgang R. Sperr, Luigi Scaffidi, Björn van Anrooij, Hanneke NC Oude Elberink, Julien Rossignol, Olivier Hermine, Aleksandra Gorska, Magdalena Lange, Emir Hadzijusufovic, Cornelius Miething, Sabine Müller, Cecelia Perkins, William Shomali, Chiara Elena, Anja Illerhaus, Mohamad Jawhar, Roberta Parente, Francesca Caroppo, Oleksii Solomianyi, Alexander Zink, Mattias Mattsson, Akif Selim Yavuz, Jens Panse, Judit Varkonyi, Michael Doubek, Vito Sabato, Christine Breynaert, Vladan Vucinic, Tanja Schug, Hans Hägglund, Friederike Wortmann, Knut Brockow, Irena Angelova-Fischer, Anna Belloni Fortina, Massimo Triggiani, Andreas Reiter, Karin Hartmann, Luca Malcovati, Jason Gotlib, Khalid Shoumariyeh, Marek Niedoszytko, Michel Arock, Hanneke C. Kluin-Nelemans, Patrizia Bonadonna, Peter Valent
Journal: Leukemia (2021)
P09.01 Radiomics-based machine learning approach in differentiation between vestibular schwannoma and meningioma in the cerebellopontine angle
Authors: Y Zhang, C Chen, J Xu
Journal: Neuro-Oncology (2021)

Abstract BACKGROUND Vestibular schwannoma (VS) and meningioma are the most two common tumors in the cerebellopontine angle (CPA). Accurate preoperative differentiation of the two lesions is important due to their different surgical approaches and outcomes for the preservation of hearing and facial nerve function. Magnetic resonance (MR) scan is commonly performed to preoperatively evaluate CPA tumors and to differentiate VS from meningioma in clinical routine. However, in some cases, overlaps of conventional MR imaging patterns between the two lesions could make preoperative diagnosis challenging. The purpose of this study is to investigate the ability of radiomics, a novel method providing objective and quantitative information beyond visual assessment, in differentiation between VS and meningioma located at CPA using machine learning technology. MATERIAL AND METHODS This retrospective study enrolled eligible patients who were diagnosed with VS (N = 50) or meningioma (N = 41) in the CPA. A set of mineable three-dimensional radiomic parameters were extracted from preoperative contrast-enhanced T1-weighted images. Optimal features were selected first with three selection methods including distance correlation, least absolute shrinkage and selection operator (LASSO) and gradient boosting decision tree (GBDT). Then three machine learning classification algorithms, namely linear discriminant analysis (LDA), support vector machine (SVM) and random forest were employed to build discriminative models. Area under the curve (AUC), accuracy, sensitivity and specificity were calculated to assess the performance of each model. RESULTS Nine models were established with different combinations of selection methods and machine learning classifiers. Three classifiers with the suitable selection method all represented feasible ability in differentiation with AUC more than 0.86 in the validation set, and LDA-based models seemed to show better diagnostic performance than those based on the other two classifiers. The combination of LASSO and LDA classifier was found to show the highest AUC of 0.942 in the validation set. CONCLUSION Radiomics-based models via machine learning approaches could potentially be utilized to assist in preoperative differentiation between VS and meningioma in the CPA.
Zn/Sr dual ions-collagen co-assembly hydroxyapatite enhances bone regeneration through procedural osteo-immunomodulation and osteogenesis
Authors: Zhenyu Zhong, Xiaodan Wu, Yifan Wang, Mengdie Li, Yan Li, XuLong Liu, Xin Zhang, Ziyang Lan, Jianglin Wang, Yingying Du, Shengmin Zhang
Journal: Bioactive Materials (2021)

The immune microenvironment induced by biomaterials played vital roles in bone regeneration. Hydroxyapatite (HA) and its ion-substituted derivates represent a large class of core inorganic materials for bone tissue engineering. Although ion substitution was proved to be a potent way to grant HA more biological functions, few studies focused on the immunomodulatory properties of ion-doped HA. Herein, to explore the potential osteoimmunomodulatory effects of ion-doped HA, zinc and strontium co-assembled into HA through a collagen template biomimetic way (ZnSr-Col-HA) was successfully achieved. It was found that ZnSr-Col-HA could induce a favorable osteo-immune microenvironment by stimulating macrophages. Furthermore, ZnSr-Col-HA demonstrated a procedural promoting effect on osteogenic differentiation of bone marrow mesenchymal stem cells (BMSCs) in vitro. Specifically, the osteo-immune microenvironment acted as a dominant factor in promoting osteogenic gene expressions at the early stage through OSM signal pathway. Whereas the direct stimulating effects on BMSCs by Zn2+/Sr2+ were more effectively at the later stage with Nfatc1/Maf and Wnt signals activated. In vivo study confirmed strong promoting effects of ZnSr-Col-HA on critical-sized cranial defect repair. The current study indicated that such a combined biomaterial design philosophy of dual ion-doping and biomimetic molecular co-assembly to endow HA applicable osteoimmunomodulatory characteristics might bring up a new cutting-edge concept for bone regeneration study.
Dysregulation of mitochondrial and proteolysosomal genes in Parkinson’s disease myeloid cells
Authors: Elisa Navarro, Evan Udine, Katia de Paiva Lopes, Madison Parks, Giulietta Riboldi, Brian M. Schilder, Jack Humphrey, Gijsje J. L. Snijders, Ricardo A. Vialle, Maojuan Zhuang, Tamjeed Sikder, Charalambos Argyrou, Amanda Allan, Michael J. Chao, Kurt Farrell, Brooklyn Henderson, Sarah Simon, Deborah Raymond, Sonya Elango, Roberto A. Ortega, Vicki Shanker, Matthew Swan, Carolyn W. Zhu, Ritesh Ramdhani, Ruth H. Walker, Winona Tse, Mary Sano, Ana C. Pereira, Tim Ahfeldt, Alison M. Goate, Susan Bressman, John F. Crary, Lotje de Witte, Steven Frucht, Rachel Saunders-Pullman, Towfique Raj
Journal: Nature Aging (2021)
Predicting endometrial cancer subtypes and molecular features from histopathology images using multi-resolution deep learning models
Authors: Runyu Hong, Wenke Liu, Deborah DeLair, Narges Razavian, David Fenyö
Journal: Cell Reports Medicine (2021)

The determination of endometrial carcinoma histological subtypes, molecular subtypes, and mutation status is critical for the diagnostic process, and directly affects patients' prognosis and treatment. Sequencing, albeit slower and more expensive, can provide additional information on molecular subtypes and mutations that can be used to better select treatments. Here, we implement a customized multi-resolution deep convolutional neural network, Panoptes, that predicts not only the histological subtypes but also the molecular subtypes and 18 common gene mutations based on digitized H&E-stained pathological images. The model achieves high accuracy and generalizes well on independent datasets. Our results suggest that Panoptes, with further refinement, has the potential for clinical application to help pathologists determine molecular subtypes and mutations of endometrial carcinoma without sequencing.
British Society for Dermatological Surgery: Summaries of Papers
Journal: British Journal of Dermatology (2005)

British Journal of DermatologyVolume 153, Issue s1 p. 74-81 British Society for Dermatological Surgery: Summaries of Papers First published: 08 June 2005 https://doi.org/10.1111/j.1365-2133.2005.06654.xCitations: 1AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Citing Literature Volume153, Issues1July 2005Pages 74-81 RelatedInformation
A Simplified Method for the Diagnosis of Constrictive Pericarditis in the Cardiac Catheterization Laboratory
Authors: C. Charles Jain, William R. Miranda, Abdallah El Sabbagh, Rick A. Nishimura
Journal: JAMA Cardiology (2021)

Enhanced ventricular interdependence is a highly sensitive and specific criterion for the diagnosis of constrictive pericarditis (CP), but simultaneous ventricular measurements can be challenging at cardiac catheterization. Ejection times (ETs) correlate with stroke volumes and can be easily measured from arterial pressure tracings.To assess respirophasic changes in pulmonary artery (PA) ETs and aorta (Ao) ETs as a marker for enhanced ventricular interdependence.Retrospective analysis of simultaneous left-side and right-side heart catheterizations between January 2006 and January 2017 was performed. The data were analyzed in June 2020. All catheterizations were performed at the Mayo Clinic, Rochester, Minnesota. This study evaluated patients undergoing left-side and right-side heart catheterization for assessment of CP after noninvasive evaluation was inconclusive.Measurements of the PA and Ao ETs were made during inspiration and expiration. Ventricular interaction was mainly assessed by evaluating the difference of ETs from expiration to inspiration as well as the difference in Ao minus the difference in PA.A total of 10 patients with surgically proven CP and 10 patients without CP (restrictive cardiomyopathy or severe tricuspid regurgitation) were identified. Of these 20 included patients, 10 (50%) were female, and the median (interquartile range) age was 59.5 (47.0-67.5) years. There were no significant differences in demographic characteristics or baseline hemodynamic measurements. In patients with CP compared with those without CP, there was a significantly greater decrease in PA ET (mean [SD], -31.8 [28.6] vs 5.1 [9.5]; P < .001) and a nonsignificantly greater increase in Ao ET (mean [SD], 19.0 [15.7] vs 10.5 [9.1]; P = 0.20) during expiration vs inspiration. Thus, the difference in Ao ET minus the difference in PA ET during expiration vs inspiration was significantly greater in those with CP compared with those without CP (mean [SD], 50.8 [22.5] milliseconds vs 5.4 [15.2] milliseconds; P < .001).In this study, PA and Ao measurements of ETs throughout the respiratory cycle were a simple, easily obtainable, and accurate parameter for the diagnosis of CP.
Two Hypotheses on the High Incidence of Dementia in Psychotic Disorders
Authors: Katherine Jonas, Anissa Abi-Dargham, Roman Kotov
Journal: JAMA Psychiatry (2021)

Our website uses cookies to enhance your experience. By continuing to use our site, or clicking "Continue," you are agreeing to our Cookie Policy | Continue JAMA Psychiatry HomeNew OnlineCurrent IssueFor Authors Podcast Publications JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry (1919-1959) JN Learning / CMESubscribeJobsInstitutions / LibrariansReprints & Permissions Terms of Use | Privacy Policy | Accessibility Statement 2023 American Medical Association. All Rights Reserved Search All JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Forum Archive JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry Input Search Term Sign In Individual Sign In Sign inCreate an Account Access through your institution Sign In Purchase Options: Buy this article Rent this article Subscribe to the JAMA Psychiatry journal
パート9:心停止後のケア 心肺機能蘇生と救急心血管ケアに関する米国心臓病協会ガイドライン2010年版
Authors: Peberdy Mary Ann, W Callaway Clifton, W Neumar Robert, G Geocadin Romergryko, L Zimmerman Janice, Donnino Michael, Gabrielli Andrea, M Silvers Scott, L Zaritsky Arno, Merchant Raina, L Vanden Hoek Terry, L Kronick Steven
Journal: Circulation (2010)
P13.22 Menglia: an innovative approach to liquid biopsies in glioma patients
Authors: M Truffelli, A Petretto, G Candiano, D Giunti, T Vigo, G Gaggero, E Bennicelli, M Grassi, G Zona, P Fiaschi
Journal: Neuro-Oncology (2021)

Abstract BACKGROUND Gliomas are the second most frequent primary brain tumor. Since 2016 gliomas are classified according to histological, and molecular features such as IDH status and 1p19q codeletion. Recently oncological research has focused on liquid biopsies to reduce the need for invasive diagnostic tests. Cerebrospinal fluid (CSF) is the principal source of brain tumor biomarkers. Modern technologies currently allow us to analyze proteomic and metabolomic tumor profiles, in order to find new biomarkers without being constrained by a priori hypothesis. Several data from the literature also suggests that inflammatory cells and cytokines in tumors contribute to tumor growth, progression and immunosuppression. The possibility of simultaneously testing different inflammatory molecules on the biological fluids could lead to the identification of new biological markers with prognostic and predictive value for treatment response. STUDY OBJECTIVES - Identification of protein and/or lipid biomarkers specific to the glioma subgroup among those under analysis. - Identification of tumor group- and subgroup-specific CSF and/or serum inflammatory biomarkers among those tested. - Correlation of biomarkers with Progression Free Survival (PFS), Overall Survival (OS). ELIGIBILITY CRITERIA - Patients with a radiological suspected diagnosis of glioma eligible for surgery. - Age ≥ 18 years. - Availability of histological samples, CSF, blood and urine. - Patients with unconfirmed histological diagnosis of glioma will be excluded. - Patients who have never received any systemic or local treatment for CNS diseases. STUDY DESIGN This is a prospective monocentric study involving mass spectrometry analysis for characterization of proteins and metabolites and ELISA analysis for the characterization of different cytokines in parallel anonymized biological samples consisting of tumor tissue, CSF, blood and urine from glioma patients, divided into three different molecular subtypes: 1p19q codelet/IDH mutated, 1p19q non-codelet/IDH mutated and 1p19q non-codelet/IDH wt. Biological samples will be taken at surgery, at 24–48 h after surgery and every 3 months up to 1 year. The control group will include patients with subarachnoid hemorrhage or hydrocephalus, either undergoing external ventricular shunting or undergoing ventricular catheter placement/revision surgery. STUDY ANALYSIS Data interpretation will be based on a statistical analysis of the data, applying tools such as Principal Component Analysis (PCA) Weighted Correlation Network Analysis (WGNCA), Multiple Venn Diagram, T-Test, ANOVA, Clustering and Gene Ontology Enrichment, non-parametric Mann-Whitney test. For the assessment of clinical outcome, survival curves will be compared between different groups of patients who share a similar protein/metabolomic/inflammatory profile.
P16.05 Implementation of a novel ex-vivo brain slice model to study human glioblastoma and glioma-associated microglia
Authors: C Flüh, C Nanvuma, Y Huang, E Motta, L Kuhrt, Y Yuan, P Xia, M Lubas, M Schnauss, F Hu, M Synowitz, H Kettenmann
Journal: Neuro-Oncology (2021)

Abstract BACKGROUND Glioblastoma multiforme is a highly malignant brain tumor with a devastating prognosis. Resection followed by radio-chemotherapy leads to an overall survival of only 15 months. Up to 40% of the tumor mass consist of tumor-associated microglia and macrophages (TAMs). These cells were shown to promote tumor growth and invasiveness in many murine glioma models. The interaction between TAMs and tumor cells is crucial for tumor progression and includes several known pathways. Still, murine glioma models only partially mirror the human tumor microenvironment. Several known genes, which are highly upregulated in human glioma and TAMs are only expressed in human tissue and not in mice. To further investigate some of these genes, we aimed at establishing a humanized ex-vivo brain slice model, in which human TAMs and human glioma cells can be studied in a standardized manner. MATERIAL AND METHODS We used 250 micrometer thick murine brain slices, which were depleted of intrinsic microglia by applying clodoronated liposomes. Next, we inoculated human glioma cells (originating from the cell lines mCherryU87, mCherryU251MG, mCherryLN229 and several patient derived cells lines) with or without human microglia derived from induced pluripotent stem cells (iPSCs). Slices were cultivated for 7 to 14 days. Next, we performed a detailed analysis of microglia morphology (sphericity, cell body volume, process length and branching pattern) and tumor volume. RESULTS Clodronation efficacy was high, depending on duration of treatment and length of cultivation. iPSCs and tumor cells integrated into the slice very well. The presence of tumor cells led to an increased sphericity of iPSC-dervied microglia and to an increased cell body volume. Branching pattern and process length did not differ between both conditions. Tumor volume was significantly larger when iPSC-derived microglia were present. This was found in various glioma cells lines and also in patient derived cells. CONCLUSION The newly established humanized ex-vivo brain slice system was shown to be feasible. The method successfully allows to study the interaction between human TAMs and tumor cells. Microglia foster tumor growth not only in murine glioma models, but also in a human paradigm. The humanized ex-vivo brain slice model therefore is the optimal basis to study the role human-specific genes in TAM-glioma interaction.
This month in JAAD International: November 2021: COVID-19 and hair loss
Authors: Jonathan Kantor
Journal: Journal of the American Academy of Dermatology (2021)

This month in JAAD International, Starace et al1Starace M. Iorizzo M. Sechi A. et al.Trichodynia and telogen effluvium in COVID-19 patients: results of an international expert opinion survey on diagnosis and management.JAAD Int. 2021; 5: 11-18Abstract Full Text Full Text PDF PubMed Scopus (33) Google Scholar described their experience in caring for patients with COVID-19 with hair disorders. The authors, an international group of hair experts, collated patient data in order to provide a descriptive account of the range of hair disorders seen in patients presenting to hair clinics with a preexisting diagnosis of COVID-19. Consistent with earlier work, they noted that telogen effluvium was reported by two-third of patients. They highlighted that the subset of patients with both telogen effluvium and trichodynia seemed to present earlier than those with telogen effluvium alone. Importantly, such reports are mired by significant inherent limitations, because the data—by their very definition—came from hair experts and were biased. Thus, these findings cannot be extrapolated to understanding the general population of patients with COVID-19, although they provide an interesting snapshot of some of the hair complaints of patients with COVID-19. The authors suggested some mechanistic explanations for the observed patterns of trichodynia, telogen effluvium, and disease progression in the context of COVID-19. Although such assertions are, admittedly, entirely speculative, they highlight the ways in which the medical community has come together, each with their own specialization or subspecialization, to better understand COVID-19 and to broadly think about the ways in which we, as physicians, can best respond to the pandemic. Sadly, the pandemic shows no sign of abating. One faint silver lining to this tragedy is the way in which physicians around the world continue to band together to respond, each according to their ability and expertise, in an attempt to ease the burden on us all. None disclosed.
P14.87 Significance of clinical and molecular-genetic factors for prognosis in 574 adult patients with primary glioblastoma
Authors: S Zolotova, A Kurmukov, A Dalechina, A Belyashova, A Golanov
Journal: Neuro-Oncology (2021)

Abstract BACKGROUND Despite advances in the characterization of genomic alterations in glioblastoma patient survival remains poor. The aim of this single center retrospective study was to estimate prognostic factors affecting to survival for optimizing personalized treatment strategy in glioblastoma patients. MATERIAL AND METHODS 574 consecutive patients with primary glioblastoma treated at the Burdenko National Medical Research Center of Neurosurgery from 2014 to 2019 were included in this study (314 male /260 female). Survival data was analyzed using Kaplan-Meier with log-rank tests to assess statistical significance. A linear regression model was built to predict overall survival. RESULTS Older patients (&amp;gt; 45 years) had the worse prognosis than patients ≤ 45 (p = 2.37 * 10^-6). Female patients had advantages in overall survival (p = 0.014). Time interval from surgery to the starting of radiotherapy longer than 4 weeks was associated with worse overall survival (p = 0.062). Patients with positive IDH1/2 and MGMT had better prognosis than patients with wild type and MGMT negative (p = 0.000841, p = 0.000138, respectively). We revealed that there were significant differences in overall survival between patients who had progression on the first (p = 0.000312), second (p = 0.001046) and third (p = 0.00223) follow-up MRI after radiotherapy. Median survival times (from the date of surgery) were 17, 20, 23 months, respectively. The feature importance in the linear regression model was patient’s age, IDH1/2 mutation, MGMT promoter methylation status, progression on the first follow-up MRI and sex. CONCLUSION Older patient’s age, prolonged time between surgery and RT starting, male sex, negative IDH1/2 and MGMT, progression on the first MRI were associated with poor overall survival in glioblastoma patients. Our results suggested additional clinical, radiomics and molecular-genetic data should be added to improve the overall survival prediction. The results have been obtained under the support of the RFBR grant 18-29-01054