Latent Class Analysis to Classify Patients with Transthyretin Amyloidosis by Signs and Symptoms

Total Page:16

File Type:pdf, Size:1020Kb

Latent Class Analysis to Classify Patients with Transthyretin Amyloidosis by Signs and Symptoms Neurol Ther DOI 10.1007/s40120-015-0028-y ORIGINAL RESEARCH Latent Class Analysis to Classify Patients with Transthyretin Amyloidosis by Signs and Symptoms Jose Alvir . Michelle Stewart . Isabel Conceic¸a˜o To view enhanced content go to www.neurologytherapy-open.com Received: February 21, 2015 Ó The Author(s) 2015. This article is published with open access at Springerlink.com ABSTRACT status measures for the latent classes were examined. Introduction: The aim of this study was to Results: A four-class latent class solution was develop an empirical approach to classifying thebestfitforthedata.Thelatentclasseswere patients with transthyretin amyloidosis (ATTR) characterized by the predominant symptoms based on clinical signs and symptoms. as severe neuropathy/severe autonomic, Methods: Data from 971 symptomatic subjects moderate to severe neuropathy/low to enrolled in the Transthyretin Amyloidosis moderate autonomic involvement, severe Outcomes Survey were analyzed using a latent cardiac, and moderate to severe neuropathy. class analysis approach. Differences in health Incorporating disease duration improved the model fit. It was found that measures of health Electronic supplementary material The online status varied by latent class in interpretable version of this article (doi:10.1007/s40120-015-0028-y) contains supplementary material, which is available to patterns. authorized users. Conclusion: This latent class analysis approach On behalf of the THAOS Investigators. offered promise in categorizing patients with ATTR across the spectrum of disease. The four- Trial registration: ClinicalTrials.gov number, class latent class solution included disease NCT00628745. duration and enabled better detection of J. Alvir (&) heterogeneity within and across genotypes Statistical Center for Outcomes, Real-World and than previous approaches, which have tended Aggregate Data, Global Medicines Development, Global Innovative Pharma Business, Pfizer, Inc., to classify patients a priori into neuropathic, New York, NY, USA cardiac, and mixed groups. Although this study e-mail: Jose.Alvir@pfizer.com utilized a cross-sectional approach to disease M. Stewart duration, future work could include the Pfizer, Inc., New York, NY, USA application of longitudinal latent class I. Conceic¸a˜o analyses. Department of Neurosciences, Centro Hospitalar Lisboa Norte, Hospital de Santa Maria, Lisbon, Funding: Pfizer Inc., New York, NY, USA. Portugal Neurol Ther Keywords: Amyloidosis; Cardiomyopathy [4]. Even within the most common TTR Latent class analysis; Polyneuropathy mutation, V30M (valine is replaced by Transthyretin methionine at position 30), there is a tremendous heterogeneity of presentation INTRODUCTION [5, 6]. Classification by genotype has largely been focused on the distinction between the Transthyretin amyloidosis (ATTR) is a most common variant, V30M, and other progressive, degenerative disease. In familial mutations that are often lumped together into ATTR, a single gene mutation leads to one non-V30M group, and the wild-type group. instability and dissociation of the TTR Another a priori approach to classification of tetramer, leading to amyloid formation. Wild- patients with ATTR that has been widely used type TTR can de-stabilize with advancing age classifies them into neuropathic, cardiac, and and also lead to amyloid formation. mixed (with features of both neuropathy and Two common sites of amyloid deposition are cardiomyopathy) groups based on their peripheral nerves and the heart. Typical early phenotypic presentation, regardless of their neuropathic symptoms are paresthesias, sensory genotype. deficit, and distal neuropathic pain with a Until now, little empirical research has been distal–proximal progression. Deposition in the undertaken to develop a classification scheme myocardium leads to diastolic dysfunction, for the full spectrum of patients with ATTR. In restrictive cardiomyopathy, arrhythmias, and this study, we grouped patients with heart failure. Autonomic neuropathy including symptomatic ATTR based on their clinical signs erectile dysfunction, bladder paresis, postural and symptoms using latent class analysis (LCA) hypotension, and gastrointestinal symptoms [7, 8] and explored the relationships between such as nausea, constipation, and diarrhea latent class (LC) membership and clinical may also occur [1, 2]. measures. The primarily neuropathic and cardiac phenotypes are known as transthyretin METHODS familial amyloid polyneuropathy (TTR-FAP) and transthyretin cardiomyopathy (TTR-CM), Standard Protocol Approvals, respectively. However, cardiac involvement is Registrations, and Patient Consents not uncommon in TTR-FAP, especially in later stages, and neuropathy can appear in patients The Transthyretin Amyloidosis Outcomes with TTR-CM [3, 4]. Both groups can experience Survey (THAOS; ClinicalTrials.gov number, autonomic symptoms. NCT00628745) is a longitudinal, observational Attempts to classify patients based on registry of symptomatic patients with ATTR genotype have limitations. There is significant (familial and wild type) and asymptomatic overlap in presenting symptoms and various mutation carriers. One of its principal aims is mutations have been classified on a ‘‘spectrum’’ to better understand and characterize the ranging from predominantly neurologic to natural history of the disease by studying a predominantly cardiac, with mixed large and heterogeneous patient population. presentations involving varying degrees of both The design and methodology of THAOS, neurologic and cardiac symptoms in between including data collection and assessments, are Neurol Ther described elsewhere [9]. Approval from local autonomic dysfunction) that adjusts for serum Ethical Review Board/Institutional Review albumin concentration, was calculated by Board was obtained, all participants provided multiplying BMI (kg/m2) by serum albumin written informed consent, and use of THAOS concentration (g/L). The frequency of erectile data for this study was approved by the THAOS dysfunction and depression was also examined. Scientific Board. The Karnofsky Performance Status is a clinician-rated assessment of functional Patients impairment with scores ranging from 0 (dead) to 100 (normal functioning/no disease). The This analysis included symptomatic patients Karnofsky scores at enrollment were analyzed participating in THAOS as of June 2013. and patients were categorized as unable to care Patients who had liver or heart transplantation for self (scored 0–40), unable to work but able to prior to enrollment were excluded. self-care (scored 50–70), and able to accomplish normal activities and work (scored 80–100). Clinical Signs and Symptom Data Patients completed the European Quality of Life-5 dimension-3 level (EQ-5D-3L) Signs and symptom data collected at THAOS instrument, a standardized measure of health enrollment were used. Individual signs and consisting of five items to rate Mobility, Self- symptoms were dichotomously coded as care, Ability to perform usual activities, Pain/ ‘‘present’’ if assessed as possibly or definitely discomfort, and Anxiety/depression on a 0 (not related to ATTR or ‘‘absent’’ if absent or deemed a problem) to 2 (unable to do/extreme problem) not related to ATTR. In total, 27 signs and scale. Patients’ responses were analyzed by item symptoms reported for at least 5% of the and used to calculate the EQ-5D-3L Index score. patients were included in this study. Patients’ rating of their current health (using the sixth item, Health State, with 0 as the worst Other Measures and 100 the best imaginable health state) was also analyzed. Demographic and clinical variables were examined. Of particular importance was ATTR Statistical Analysis disease duration, defined as the time since occurrence of the first ATTR symptom. Latent class analysis [7, 8] is a statistical method Patients were categorized by disease duration used to find LCs (subgroups or natural taxa) \4 and C4 years, a cutoff value close to the using categorical data. Generally applied in median, therefore resulting in similar numbers social and behavioral science research, it is an of patients in each category. extension of work pioneered in psychology that Physical examination measures included posits unobservable (latent) structures underlie change in supine-to-standing blood pressure observable or manifest psychological (BP) and the presence of orthostatic phenomena [10–12]. LCA classifies individuals hypotension (systolic BP decline[20 mmHg or into mutually exclusive LCs and assumes that diastolic BP decline[10 mmHg). The modified all variables are independent within each LC; body mass index (mBMI), a marker of thus, the LC explains the associations among nutritional status (especially in patients with the observed variables (e.g., symptoms). Two Neurol Ther sets of parameters are estimated by LCA: class mean age ± standard deviation (SD) was membership probabilities and item response 53.5 ± 18.0 years. Males comprised 60% of the probabilities within each LC. Each individual sample. The median ATTR duration was has a set of posterior probabilities, equal to the 3.33 years, with mean ± SD of 5.6 ± 6.7 years, number of LCs in the model. Individuals are and 57% had ATTR duration\4 years. Time assigned to LC with the highest posterior since diagnosis was available for 608 patients probability. with a mean ± SD of 1.8 ± 2.8 years. As recommended, we fit an initial set of models, specifying two to six LCs, without any Latent Class Analyses grouping variable or covariates [13]. The adjusted
Recommended publications
  • ATTACHMENT 5 Lrgo-C960965-00-V
    ATTACHMENT5 4. SHOCIqVIBRATION, AND ACOUSTICSANALYSIS 5. DESIGN GOALS/REQUIREMENTS vtHg-2-0!'5 REV. O SPECIfICATIONS TITLE DOCUMENTNO. REV. EquipmentSpecif cations Main RoughingPurnp Carts v049-2-001 Main TurbomolecularPump Cans v049-2-002 4 Auxiliary TurbomolecularPump Cans v049-2-003 Ion Pumps v049-2-004 2 ll2 and 122cm GateValves v049-2-005 J 10" and 14" GateValves v049-2-006 I VacuumGauges v049-2-007 0 BakeoutBlanlet System v049-2-009 I PortableSoft Wall CleanRooms vM9-2-010 0 CleanAir Supplies v049-2-011 I LN: Dewars v049-2-013 1 VacuumJack*ed Piping v049-2-016 PI BellowsExpansion Joints v049-2-017 I AmbientAir Vaporizers v049-2-055 0 80K PumpRegaroation Heater v049-2-056 0 SmallVacuum Valves v&9-2-059 0 CleanQh Tum Valves v049-2-050 0 CryogenicControl Valves v049-2-062 0 BakeoutCart v049-2-068 2 LrGO-C960965-00-v TITLE DOCUMENTNO. REV. Instrument& Control Specifications InstrumentList v049-l -036 0 E&lConstructionWork v049-2-022 0 PersonalComputers v049-2-049 0 BakeoutSystem Thermocouple v049-2-050 I MeasurementSystem T/C MeasurementPLC Interface v049-2-051 0 BakeoutPLC-TCInterface Soft ware v049-2-053 1 Functionality BakeoutSystem PC-PlC Interface v049-2-057 0 BakeoutSystem PC InterfaceSoftware v049-2-058 0 PitotTubes v049-2-079 0 DifferentialPressure Transmitlers v049-2-088 0 LevelTransmitters v049-2-089 0 PressureTransmitters v049-2-090 0 TemperatureElements v049-2-091 0 Interlocks,Permissives and Software AIarms v049-2-092 0 Material Specifications O-fungs v049-2-045 0 StainlessSteel Vessel Plate v049-2-041 1 StainlessSteel Flange Forgings v049-2-040 4 StainlessSteel Vessel Heads v049-2-039 3 LIGO VACUUM EQUIPMENT FINAL DESIGNREPORT CDRL 03 VOLUME TABLE OF CONTENT VOLUME TITLE VolumeI Project ManagementPlan VolumeII Design VolumeII AuachmentI Calculations VolumeII Attachment2 Calculations VolumeII Attachment3 Calculations Volumell Attachment4 Calculations VolumeII Attachment5 Specifications/Ir,lisc.
    [Show full text]
  • EORTC QLQ-C30 Scoring Manual
    All rights reserved. No part of this manual covered by copyrights hereon may be reproduced or transmitted in any form or by any means without prior permission of the copyright holder. The EORTC QLQ-C30 (in all versions), and the modules which supplement it, are copyrighted and may not be used without prior written consent of the EORTC Data Center. Requests for permission to use the EORTC QLQ-C30 and the modules, or to reproduce or quote materials contained in this manual, should be addressed to: QL Coordinator Quality of Life Unit, EORTC Data Center, Avenue E Mounier 83 - B11, 1200 Brussels, BELGIUM Tel: +32 2 774 1611 Fax: +32 2 779 4568 Email: [email protected] Copyright © 1995, 1999, 2001 EORTC, Brussels. D/2001/6136/001 ISBN 2-9300 64-22-6 Third edition, 2001 EORTC QLQ-C30 Scoring Manual The EORTC QLQ-C30 Introduction The EORTC quality of life questionnaire (QLQ) is an integrated system for assessing the health- related quality of life (QoL) of cancer patients participating in international clinical trials. The core questionnaire, the QLQ-C30, is the product of more than a decade of collaborative research. Following its general release in 1993, the QLQ-C30 has been used in a wide range of cancer clinical trials, by a large number of research groups; it has additionally been used in various other, non-trial studies. This manual contains scoring procedures for the QLQ-C30 versions 1.0, (+3), 2.0 and 3.0; it also contains summary information about supplementary modules. All publications relating to the QLQ should use the scoring procedures described in this manual.
    [Show full text]
  • Asphalt Pavement Crack Detection and Classification Using Deep
    Asphalt pavement crack detection and classification using deep Convolutional Neural Networks A Dissertation Presented to The Academic Faculty by Akshata Arvind Desai In Partial Fulfillment of the Requirements for the Degree Master of Science in the School of Electrical and Computer Engineering Georgia Institute of Technology August 2020 Copyright © 2020 by Akshata Arvind Desai Asphalt pavement crack detection and classification using deep Convolutional Neural Networks Approved by: Dr.Yi-Chang (James) Tsai, Advisor School of Civil and Environmental Engineering Georgia Institute of Technology Dr. Anthony Joseph Yezzi School of Electrical and Computer Engineering Georgia Institute of Technology Date Approved: [May 14, 2020] ACKNOWLEDGEMENTS I would like to thank my advisor, Dr. Yi-Chang (James) Tsai for providing invaluable guidance throughout my thesis research. I am extremely grateful for his time and effort in providing crucial feedback through this journey. I would also like to thank my co-advisor Dr. Anthony Joseph Yezzi for agreeing to be on the thesis committee. I would also like to thank my team for helping me all along this research. I am grateful for their time and advice. I express my thanks to Yung-An Hsieh, Lucas Yu and Zhongyu Yang. I am extremely grateful to all my other colleagues who have been helpful in one way or another. iii TABLE OF CONTENTS ACKNOWLEDGEMENTS…………………………………………………………………… iii LIST OF TABLES…………………………………………………………………………...... vi LIST OF FIGURES…………………………………………………………………………… vii SUMMARY…………………………………………………………………………………..... ix CHAPTER 1 Introduction………………………………………………………………… 1 1.1 Proposal Organization………………………………………………………………….. 2 CHAPTER 2 Literature Review………………………………………………………….. 3 2.1 Pavement Condition Evaluation Practices – Crack Type Classification…………... 3 2.1.1 Crack Properties………………………………………………………………… 7 2.2 Review of Automatic Crack Classification Methods………………………………….
    [Show full text]
  • Annona Coriacea Mart. Fractions Promote Cell Cycle Arrest and Inhibit Autophagic Flux in Human Cervical Cancer Cell Lines
    molecules Article Annona coriacea Mart. Fractions Promote Cell Cycle Arrest and Inhibit Autophagic Flux in Human Cervical Cancer Cell Lines Izabela N. Faria Gomes 1,2, Renato J. Silva-Oliveira 2 , Viviane A. Oliveira Silva 2 , Marcela N. Rosa 2, Patrik S. Vital 1 , Maria Cristina S. Barbosa 3,Fábio Vieira dos Santos 3 , João Gabriel M. Junqueira 4, Vanessa G. P. Severino 4 , Bruno G Oliveira 5, Wanderson Romão 5, Rui Manuel Reis 2,6,7,* and Rosy Iara Maciel de Azambuja Ribeiro 1,* 1 Experimental Pathology Laboratory, Federal University of São João del Rei—CCO/UFSJ, Divinópolis 35501-296, Brazil; [email protected] (I.N.F.G.); [email protected] (P.S.V.) 2 Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos 14784-400, Brazil; [email protected] (R.J.S.-O.); [email protected] (V.A.O.S.); [email protected] (M.N.R.) 3 Laboratory of Cell Biology and Mutagenesis, Federal University of São João del Rei—CCO/UFSJ, Divinópolis 35501-296, Brazil; [email protected] (M.C.S.B.); [email protected] (F.V.d.S.) 4 Special Academic Unit of Physics and Chemistry, Federal University of Goiás, Catalão 75704-020, Brazil; [email protected] (J.G.M.J.); [email protected] (V.G.P.S.) 5 Petroleomic and forensic chemistry laboratory, Department of Chemistry, Federal Institute of Espirito Santo, Vitória, ES 29075-910, Brazil; [email protected] (B.G.O.); [email protected] (W.R.) 6 Life and Health Sciences Research Institute (ICVS), Medical School, University of Minho, 4710-057 Braga, Portugal 7 3ICVS/3B’s-PT Government Associate Laboratory, 4710-057 Braga, Portugal * Correspondence: [email protected] (R.M.R.); [email protected] (R.I.M.d.A.R.); Tel.: +55-173-321-6600 (R.M.R.); +55-3736-904-484 or +55-3799-1619-155 (R.I.M.d.A.R.) Received: 25 September 2019; Accepted: 29 October 2019; Published: 1 November 2019 Abstract: Plant-based compounds are an option to explore and perhaps overcome the limitations of current antitumor treatments.
    [Show full text]
  • DNV Classification Note 31.2 Strength Analysis of Hull Structure in Roll
    CLASSIFICATION NOTES No. 31.2 STRENGTH ANALYSIS OF HULL STRUCTURE IN ROLL ON/ROLL OFF SHIPS AND CAR CARRIERS APRIL 2011 The content of this service document is the subject of intellectual property rights reserved by Det Norske Veritas AS (DNV). The user accepts that it is prohibited by anyone else but DNV and/or its licensees to offer and/or perform classification, certification and/or verification services, including the issuance of certificates and/or declarations of conformity, wholly or partly, on the basis of and/or pursuant to this document whether free of charge or chargeable, without DNV's prior written consent. DNV is not responsible for the consequences arising from any use of this document by others. DET NORSKE VERITAS Veritasveien 1, NO-1322 Høvik, Norway Tel.: +47 67 57 99 00 Fax: +47 67 57 99 11 FOREWORD DET NORSKE VERITAS (DNV) is an autonomous and independent foundation with the objectives of safeguarding life, property and the environment, at sea and onshore. DNV undertakes classification, certification, and other verification and consultancy services relating to quality of ships, offshore units and installations, and onshore industries worldwide, and carries out research in relation to these functions. Classification Notes Classification Notes are publications that give practical information on classification of ships and other objects. Examples of design solutions, calculation methods, specifications of test procedures, as well as acceptable repair methods for some components are given as interpretations of the more general rule requirements. All publications may be downloaded from the Society’s Web site http://www.dnv.com/. The Society reserves the exclusive right to interpret, decide equivalence or make exemptions to this Classification Note.
    [Show full text]
  • Federal Register/Vol. 65, No. 69/Monday, April 10, 2000
    19188 Federal Register / Vol. 65, No. 69 / Monday, April 10, 2000 / Proposed Rules DEPARTMENT OF HEALTH AND timely will be available for public 3. Payment ProvisionsÐFacility-Specific HUMAN SERVICES inspection as they are received, Rate generally beginning approximately 3 II. Update of Payment Rates Under the Health Care Financing Administration weeks after publication of a document, Prospective Payment System for Skilled Nursing Facilities in Room 443±G of the Department's A. Federal Prospective Payment System 42 CFR Parts 411 and 489 office at 200 Independence Avenue, 1. Cost and Services covered by the Federal SW., Washington, DC, on Monday [HCFA±1112±P] Rates through Friday of each week from 8:30 2. Methodology Used for the Calculation of RIN 0938±AJ93 to 5 p.m. (phone: (202) 690±7061). the Federal Rates FOR FURTHER INFORMATION CONTACT: B. Case-Mix Adjustment and Options C. Wage Index Adjustment to Federal Rates Medicare Program; Prospective Dana Burley, (410) 786±4547 or Sheila Payment System and Consolidated D. Updates to the Federal Rates Lambowitz, (410) 786±7605 (for E. Relationship of RUG±III Classification Billing for Skilled Nursing FacilitiesÐ information related to the case-mix Update System to Existing Skilled Nursing classification methodology). Facility Level-of-Care Criteria AGENCY: Health Care Financing John Davis, (410) 786±0008 (for III. Three-Year Transition Period Administration (HCFA), HHS. information related to the Wage IV. The Skilled Nursing Facility Market Index). Basket Index ACTION: Notice of proposed rulemaking. Bill Ullman, (410) 786±5667 (for A. Facility-Specific Rate Update Factor information related to consolidated B. Federal Rate Update Factor SUMMARY: This proposed rule sets forth V.
    [Show full text]
  • Integrative Genomic Characterization Identifies Molecular Subtypes of Lung Carcinoids
    Published OnlineFirst July 12, 2019; DOI: 10.1158/0008-5472.CAN-19-0214 Cancer Genome and Epigenome Research Integrative Genomic Characterization Identifies Molecular Subtypes of Lung Carcinoids Saurabh V. Laddha1, Edaise M. da Silva2, Kenneth Robzyk2, Brian R. Untch3, Hua Ke1, Natasha Rekhtman2, John T. Poirier4, William D. Travis2, Laura H. Tang2, and Chang S. Chan1,5 Abstract Lung carcinoids (LC) are rare and slow growing primary predominately found at peripheral and endobronchial lung, lung neuroendocrine tumors. We performed targeted exome respectively. The LC3 subtype was diagnosed at a younger age sequencing, mRNA sequencing, and DNA methylation array than LC1 and LC2 subtypes. IHC staining of two biomarkers, analysis on macro-dissected LCs. Recurrent mutations were ASCL1 and S100, sufficiently stratified the three subtypes. enriched for genes involved in covalent histone modification/ This molecular classification of LCs into three subtypes may chromatin remodeling (34.5%; MEN1, ARID1A, KMT2C, and facilitate understanding of their molecular mechanisms and KMT2A) as well as DNA repair (17.2%) pathways. Unsuper- improve diagnosis and clinical management. vised clustering and principle component analysis on gene expression and DNA methylation profiles showed three robust Significance: Integrative genomic analysis of lung carcinoids molecular subtypes (LC1, LC2, LC3) with distinct clinical identifies three novel molecular subtypes with distinct clinical features. MEN1 gene mutations were found to be exclusively features and provides insight into their distinctive molecular enriched in the LC2 subtype. LC1 and LC3 subtypes were signatures of tumorigenesis, diagnosis, and prognosis. Introduction of Ki67 between ACs and TCs does not enable reliable stratification between well-differentiated LCs (6, 7).
    [Show full text]
  • Understanding the Role of LC4-Like in the Regulation of the Wave Initation Point of Flagellar Beats in Trypanosomatids
    Understanding the role of LC4-like in the regulation of the wave initation point of flagellar beats in trypanosomatids Lore Baert Student number: 01509541 Promoter Ghent University: Prof Dirk de Graaf Erasmus/Opinno Promoter: Dr Richard Wheeler Scientific supervisor: Dr Richard Wheeler Master’s dissertation submitted to Ghent University to obtain the degree of Master of Science in Biochemistry and Biotechnology. Major Microbioloby Academic year: 2019 – 2020 Ghent University - Department of Biochemistry and Microbiology - Laboratory of Molecular Entomology and Bee pathology University of Oxford, Oxford, United Kingdom - Nuffield Department of Medicine Preface The past year has been unforgettable, to say the least While the world was affected by a virus I am sure we are all tired of hearing about, I spent my time writing this thesis, a work which marks a huge turning point in my life. I cannot express how grateful I am for all the chances I got along the way. Nevertheless, I would like to take this opportunity to thank some people for making this thesis a reality. First of all, I want to express my gratitude to Richard Wheeler and Jack Sunter for giving me the opportunity to write my thesis in their labs and introducing me to the marvellous world of parasites. Although my time there was cut short, this international experience has helped me grow, both as a person and a scientist. Thank you to Prof. Dirk de Graaf as well, for being my Belgian promoter. In particular, I want to thank Richard, for his time and guidance, and especially for managing to come up with a new project when the coronavirus interfered with the original one.
    [Show full text]
  • Immune Suppressive Landscape in the Human Esophageal Squamous Cell
    ARTICLE https://doi.org/10.1038/s41467-020-20019-0 OPEN Immune suppressive landscape in the human esophageal squamous cell carcinoma microenvironment ✉ Yingxia Zheng 1,2,10 , Zheyi Chen1,10, Yichao Han 3,10, Li Han1,10, Xin Zou4, Bingqian Zhou1, Rui Hu5, Jie Hao4, Shihao Bai4, Haibo Xiao5, Wei Vivian Li6, Alex Bueker7, Yanhui Ma1, Guohua Xie1, Junyao Yang1, ✉ ✉ ✉ Shiyu Chen1, Hecheng Li 3 , Jian Cao 7,8 & Lisong Shen 1,9 1234567890():,; Cancer immunotherapy has revolutionized cancer treatment, and it relies heavily on the comprehensive understanding of the immune landscape of the tumor microenvironment (TME). Here, we obtain a detailed immune cell atlas of esophageal squamous cell carcinoma (ESCC) at single-cell resolution. Exhausted T and NK cells, regulatory T cells (Tregs), alternatively activated macrophages and tolerogenic dendritic cells are dominant in the TME. Transcriptional profiling coupled with T cell receptor (TCR) sequencing reveal lineage con- nections in T cell populations. CD8 T cells show continuous progression from pre-exhausted to exhausted T cells. While exhausted CD4, CD8 T and NK cells are major proliferative cell components in the TME, the crosstalk between macrophages and Tregs contributes to potential immunosuppression in the TME. Our results indicate several immunosuppressive mechanisms that may be simultaneously responsible for the failure of immuno-surveillance. Specific targeting of these immunosuppressive pathways may reactivate anti-tumor immune responses in ESCC. 1 Department of Laboratory Medicine, Xin Hua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. 2 Institute of Biliary Tract Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China. 3 Department of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
    [Show full text]
  • Event-Driven Data Mining Techniques for Automotive Fault Diagnosis
    21st International Workshop on Principles of Diagnosis, 2010 Event-driven Data Mining Techniques for Automotive Fault Diagnosis Chaitanya Sankavaram1, Anuradha Kodali1, Diego Fernando Martinez Ayala1, Krishna Pattipati1, Satnam Singh2, and Pulak Bandyopadhyay2 1 Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269 USA E-mail: [email protected] 2 Diagnosis & Prognosis Group, India Science Lab, General Motors Global Research and Development, GM Technical Centre India Pvt Ltd, Bangalore, INDIA E-mail: [email protected] ABSTRACT Automotive OEMs collect a variety of on-board vehicle health data via telematics and off-board data via dealer The increasing sophistication of electronics in diagnostics services. These data sources acquire vehicular systems is providing the necessary different types of vehicle data at different sampling information to perform data-driven rates. For example, dealer diagnostic data is collected diagnostics. Specifically, the advances in when a vehicle comes for repair at a dealer shop; the automobiles enable periodic acquisition of warranty data, collected infrequently, includes the data from telematics services and the diagnostic trouble codes (DTCs), freeze frame data associated dealer diagnostic data from (engineering variables/PIDs), repairs/replacement vehicles; this requires a data-driven actions, and structured/unstructured text in the form of framework that can detect component customer verbatim. The fleet data is collected at a degradations and isolate the root causes of much higher sampling frequency (e.g., every few failures. The event-driven data consists of ignition cycles) for overall health of vehicle diagnostic trouble codes (DTCs) and the subsystems, such as the engine and/or transmission concomitant parameter identifiers (PIDs) system, emission system, airbag system, anti-lock brake collected from various sensors, customer system, tire pressure; this data is gathered even when complaints (CCs), and labor codes (LCs) the vehicle is functioning normally.
    [Show full text]
  • LUCAS 2018 Technical Reference Document C3 Classification (Land
    Regional statistics and Geographic Information Author: E4.LUCAS (ESTAT) TechnicalDocuments 2018 LUCAS 2018 (Land Use / Cover Area Frame Survey) Technical reference document C3 Classification (Land cover & Land use) Regional statistics and Geographic Information Author: E4.LUCAS (ESTAT) TechnicalDocuments 2018 Table of Contents 1 Scope and Introduction ............................................................................................................................. 6 LUCAS survey classification comparison 2009 - 2012 ................................................................................... 7 LUCAS survey classification comparison 2012 - 2015 ................................................................................... 7 LUCAS survey classification comparison 2015 – 2018 ................................................................................... 9 Land cover and land use: general explications .............................................................................................. 9 Specific to the LUCAS classification ............................................................................................................. 10 The basic unit and the extended window of observation ........................................................................... 10 2 Land Cover Classification (LUCAS SU LC) ................................................................................................. 11 A00 ARTIFICIAL LAND .............................................................................................................................
    [Show full text]
  • Validating the Redmit/GFP-LC3 Mouse Model by Studying Mitophagy in Autosomal Dominant Optic Atrophy Due to the OPA1Q285STOP Mutation
    ORIGINAL RESEARCH published: 19 September 2018 doi: 10.3389/fcell.2018.00103 Validating the RedMIT/GFP-LC3 Mouse Model by Studying Mitophagy in Autosomal Dominant Optic Atrophy Due to the OPA1Q285STOP Mutation Alan Diot 1, Thomas Agnew 2, Jeremy Sanderson 2, Chunyan Liao 3, Janet Carver 1, Ricardo Pires das Neves 4, Rajeev Gupta 5, Yanping Guo 6, Caroline Waters 7, Sharon Seto 7, Matthew J. Daniels 8, Eszter Dombi 1, Tiffany Lodge 1, Karl Morten 1, Suzannah A. Williams 1, Tariq Enver 5, Francisco J. Iborra 9, Marcela Votruba 7 and Joanna Poulton 1* 1 Nuffield Department of Women’s and Reproductive Health, University of Oxford, Oxford, United Kingdom, 2 Sir William Dunn Edited by: School of Pathology, University of Oxford, Oxford, United Kingdom, 3 Molecular Biology and Biotechnology, University of Nuno Raimundo, Sheffield, Sheffield, United Kingdom, 4 Centro de Neurociências e Biologia Celular (CNC), Coimbra, Portugal, 5 UCL Cancer Universitätsmedizin Göttingen, Institute, University College London, London, United Kingdom, 6 National Heart and Lung Institute, Imperial College London, Germany London, United Kingdom, 7 School of Optometry and Vision Sciences, Cardiff University, Cardiff, United Kingdom, 8 Division Reviewed by: of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Headington, United Kingdom, 9 Centro Carsten Merkwirth, Nacional de Biotecnología, CSIC, Madrid, Spain Ferring Research Institute, Inc., United States Nabil Eid, Background: Autosomal dominant optic atrophy (ADOA) is usually caused by Osaka Medical College, Japan mutations in the essential gene, OPA1. This encodes a ubiquitous protein involved Brett Anthony Kaufman, University of Pittsburgh, United States in mitochondrial dynamics, hence tissue specificity is not understood.
    [Show full text]