Detection of Circulating Tumor Cells and Cell Free DNA
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Communicable Disease Chart
COMMON INFECTIOUS ILLNESSES From birth to age 18 Disease, illness or organism Incubation period How is it spread? When is a child most contagious? When can a child return to the Report to county How to prevent spreading infection (management of conditions)*** (How long after childcare center or school? health department* contact does illness develop?) To prevent the spread of organisms associated with common infections, practice frequent hand hygiene, cover mouth and nose when coughing and sneezing, and stay up to date with immunizations. Bronchiolitis, bronchitis, Variable Contact with droplets from nose, eyes or Variable, often from the day before No restriction unless child has fever, NO common cold, croup, mouth of infected person; some viruses can symptoms begin to 5 days after onset or is too uncomfortable, fatigued ear infection, pneumonia, live on surfaces (toys, tissues, doorknobs) or ill to participate in activities sinus infection and most for several hours (center unable to accommodate sore throats (respiratory diseases child’s increased need for comfort caused by many different viruses and rest) and occasionally bacteria) Cold sore 2 days to 2 weeks Direct contact with infected lesions or oral While lesions are present When active lesions are no longer NO Avoid kissing and sharing drinks or utensils. (Herpes simplex virus) secretions (drooling, kissing, thumb sucking) present in children who do not have control of oral secretions (drooling); no exclusions for other children Conjunctivitis Variable, usually 24 to Highly contagious; -
Circulating Tumor DNA As Biomarkers for Cancer Detection
Genomics Proteomics Bioinformatics 15 (2017) 59–72 HOSTED BY Genomics Proteomics Bioinformatics www.elsevier.com/locate/gpb www.sciencedirect.com REVIEW Circulating Tumor DNA as Biomarkers for Cancer Detection Xiao Han 1,2,a, Junyun Wang 1,b, Yingli Sun 1,*,c 1 CAS Key Laboratory of Genomic and Precision Medicine, China Gastrointestinal Cancer Research Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China 2 University of Chinese Academy of Sciences, Beijing 100049, China Received 1 July 2016; revised 13 December 2016; accepted 20 December 2016 Available online 7 April 2017 Handled by Cesar Wong KEYWORDS Abstract Detection of circulating tumor DNAs (ctDNAs) in cancer patients is an important com- Precision medicine; ponent of cancer precision medicine ctDNAs. Compared to the traditional physical and biochemical Liquid biopsy; methods, blood-based ctDNA detection offers a non-invasive and easily accessible way for cancer Circulating tumor DNA; diagnosis, prognostic determination, and guidance for treatment. While studies on this topic are Biomarker; currently underway, clinical translation of ctDNA detection in various types of cancers has been Clinical diagnosis; attracting much attention, due to the great potential of ctDNA as blood-based biomarkers for early Cell-free nucleic acids diagnosis and treatment of cancers. ctDNAs are detected and tracked primarily based on tumor- related genetic and epigenetic alterations. In this article, we reviewed the available studies on ctDNA detection and described the representative methods. We also discussed the current understanding of ctDNAs in cancer patients and their availability as potential biomarkers for clin- ical purposes. Considering the progress made and challenges involved in accurate detection of speci- fic cell-free nucleic acids, ctDNAs hold promise to serve as biomarkers for cancer patients, and further validation is needed prior to their broad clinical use. -
Absolute Measurement of the Tissue Origins of Cell-Free DNA in the Healthy State and Following Paracetamol Overdose Danny Laurent1, Fiona Semple1, Philip J
Laurent et al. BMC Medical Genomics (2020) 13:60 https://doi.org/10.1186/s12920-020-0705-2 RESEARCH ARTICLE Open Access Absolute measurement of the tissue origins of cell-free DNA in the healthy state and following paracetamol overdose Danny Laurent1, Fiona Semple1, Philip J. Starkey Lewis2, Elaine Rose1, Holly A. Black1, Jennifer Coe1, Stuart J. Forbes2, Mark J. Arends3, James W. Dear4 and Timothy J. Aitman1* Abstract Background: Despite the emergence of cell-free DNA (cfDNA) as a clinical biomarker in cancer, the tissue origins of cfDNA in healthy individuals have to date been inferred only by indirect and relative measurement methods, such as tissue-specific methylation and nucleosomal profiling. Methods: We performed the first direct, absolute measurement of the tissue origins of cfDNA, using tissue-specific knockout mouse strains, in both healthy mice and following paracetamol (APAP) overdose. We then investigated the utility of total cfDNA and the percentage of liver-specific cfDNA as clinical biomarkers in patients presenting with APAP overdose. Results: Analysis of cfDNA from healthy tissue-specific knockout mice showed that cfDNA originates predominantly from white and red blood cell lineages, with minor contribution from hepatocytes, and no detectable contribution from skeletal and cardiac muscle. Following APAP overdose in mice, total plasma cfDNA and the percentage fraction originating from hepatocytes increased by ~ 100 and ~ 19-fold respectively. Total cfDNA increased by an average of more than 236-fold in clinical samples from APAP overdose patients with biochemical evidence of liver injury, and 18-fold in patients without biochemically apparent liver injury. Measurement of liver-specific cfDNA, using droplet digital PCR and methylation analysis, revealed that the contribution of liver to cfDNA was increased by an average of 175-fold in APAP overdose patients with biochemically apparent liver injury compared to healthy subjects, but was not increased in overdose patients with normal liver function tests. -
Circulating Tumor Cell As a Diagnostic Marker in Primary Lung Cancer
Published OnlineFirst November 3, 2009; DOI: 10.1158/1078-0432.CCR-09-1095 Published Online First on November 3, 2009 as 10.1158/1078-0432.CCR-09-1095 Imaging, Diagnosis, Prognosis Circulating Tumor Cell as a Diagnostic Marker in Primary Lung Cancer Fumihiro Tanaka,1 Kazue Yoneda,1 Nobuyuki Kondo,1 Masaki Hashimoto,1 Teruhisa Takuwa,1 Seiji Matsumoto,1 Yoshitomo Okumura,1 Shakibur Rahman,1 Noriaki Tsubota,2 Tohru Tsujimura,3 Kozo Kuribayashi,4 Kazuya Fukuoka,4 Takashi Nakano,4 and Seiki Hasegawa1 Abstract Purpose: To investigate the diagnostic performance of circulating tumor cells (CTC) in discrimination between primary lung cancer and nonmalignant diseases as well as in prediction of distant metastasis. Patients and Methods: We prospectively evaluated CTCs in 7.5-mL samples of periph- eral blood sampled from patients with a suspicion or a diagnosis of primary lung can- cer. A semiautomated system was used to capture CTCs with an antibody against epithelial cell adhesion molecule. Results: Of 150 eligible patients, 25 were finally diagnosed as having nonmalignant dis- ease, and 125 were diagnosed as having primary lung cancer with (n = 31) or without (n = 94) distant metastasis. CTCs were detected in 30.6% of lung cancer patients and in 12.0% of nonmalignant patients. CTC count was significantly higher in lung cancer pa- tients than in nonmalignant patients, but a receiver operating characteristic (ROC) curve analysis showed an insufficient capability of the CTC test in discrimination be- tween lung cancer and nonmalignant diseases with an area under ROC curve of 0.598 (95% confidence interval, 0.488-0.708; P = 0.122). -
797 Circulating Tumor DNA and Circulating Tumor Cells for Cancer
Medical Policy Circulating Tumor DNA and Circulating Tumor Cells for Cancer Management (Liquid Biopsy) Table of Contents • Policy: Commercial • Coding Information • Information Pertaining to All Policies • Policy: Medicare • Description • References • Authorization Information • Policy History • Endnotes Policy Number: 797 BCBSA Reference Number: 2.04.141 Related Policies Biomarkers for the Diagnosis and Cancer Risk Assessment of Prostate Cancer, #336 Policy1 Commercial Members: Managed Care (HMO and POS), PPO, and Indemnity Plasma-based comprehensive somatic genomic profiling testing (CGP) using Guardant360® for patients with Stage IIIB/IV non-small cell lung cancer (NSCLC) is considered MEDICALLY NECESSARY when the following criteria have been met: Diagnosis: • When tissue-based CGP is infeasible (i.e., quantity not sufficient for tissue-based CGP or invasive biopsy is medically contraindicated), AND • When prior results for ALL of the following tests are not available: o EGFR single nucleotide variants (SNVs) and insertions and deletions (indels) o ALK and ROS1 rearrangements o PDL1 expression. Progression: • Patients progressing on or after chemotherapy or immunotherapy who have never been tested for EGFR SNVs and indels, and ALK and ROS1 rearrangements, and for whom tissue-based CGP is infeasible (i.e., quantity not sufficient for tissue-based CGP), OR • For patients progressing on EGFR tyrosine kinase inhibitors (TKIs). If no genetic alteration is detected by Guardant360®, or if circulating tumor DNA (ctDNA) is insufficient/not detected, tissue-based genotyping should be considered. Other plasma-based CGP tests are considered INVESTIGATIONAL. CGP and the use of circulating tumor DNA is considered INVESTIGATIONAL for all other indications. 1 The use of circulating tumor cells is considered INVESTIGATIONAL for all indications. -
MLH1 Single-Nucleotide Variant in Circulating Tumor DNA
www.nature.com/scientificreports OPEN MLH1 single‑nucleotide variant in circulating tumor DNA predicts overall survival of patients with hepatocellular carcinoma Soon Sun Kim1,4, Jung Woo Eun1,4, Ji‑Hye Choi2, Hyun Goo Woo2, Hyo Jung Cho1, Hye Ri Ahn3, Chul Won Suh3, Geum Ok Baek1, Sung Won Cho1 & Jae Youn Cheong1* Liquid biopsy can provide a strong basis for precision medicine. We aimed to identify novel single‑ nucleotide variants (SNVs) in circulating tumor DNA (ctDNA) in patients with hepatocellular carcinoma (HCC). Deep sequencing of plasma‑derived ctDNA from 59 patients with HCC was performed using a panel of 2924 SNVs in 69 genes. In 55.9% of the patients, at least one somatic mutation was detected. Among 25 SNVs in 12 genes, four frequently observed SNVs, MLH1 (13%), STK11 (13%), PTEN (9%), and CTNNB1 (4%), were validated using droplet digital polymerase chain reaction with ctDNA from 62 patients with HCC. Three candidate SNVs were detected in 35.5% of the patients, with a frequency of 19% for MLH1 chr3:37025749T>A, 11% for STK11 chr19:1223126C>G, and 8% for PTEN chr10:87864461C>G. The MLH1 and STK11 SNVs were also confrmed in HCC tissues. The presence of the MLH1 SNV, in combination with an increased ctDNA level, predicted poor overall survival among 107 patients. MLH1 chr3:37025749T>A SNV detection in ctDNA is feasible, and thus, ctDNA can be used to detect somatic mutations in HCC. Furthermore, the presence or absence of the MLH1 SNV in ctDNA, combined with the ctDNA level, can predict the prognosis of patients with HCC. -
Study Guide Medical Terminology by Thea Liza Batan About the Author
Study Guide Medical Terminology By Thea Liza Batan About the Author Thea Liza Batan earned a Master of Science in Nursing Administration in 2007 from Xavier University in Cincinnati, Ohio. She has worked as a staff nurse, nurse instructor, and level department head. She currently works as a simulation coordinator and a free- lance writer specializing in nursing and healthcare. All terms mentioned in this text that are known to be trademarks or service marks have been appropriately capitalized. Use of a term in this text shouldn’t be regarded as affecting the validity of any trademark or service mark. Copyright © 2017 by Penn Foster, Inc. All rights reserved. No part of the material protected by this copyright may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the copyright owner. Requests for permission to make copies of any part of the work should be mailed to Copyright Permissions, Penn Foster, 925 Oak Street, Scranton, Pennsylvania 18515. Printed in the United States of America CONTENTS INSTRUCTIONS 1 READING ASSIGNMENTS 3 LESSON 1: THE FUNDAMENTALS OF MEDICAL TERMINOLOGY 5 LESSON 2: DIAGNOSIS, INTERVENTION, AND HUMAN BODY TERMS 28 LESSON 3: MUSCULOSKELETAL, CIRCULATORY, AND RESPIRATORY SYSTEM TERMS 44 LESSON 4: DIGESTIVE, URINARY, AND REPRODUCTIVE SYSTEM TERMS 69 LESSON 5: INTEGUMENTARY, NERVOUS, AND ENDOCRINE S YSTEM TERMS 96 SELF-CHECK ANSWERS 134 © PENN FOSTER, INC. 2017 MEDICAL TERMINOLOGY PAGE III Contents INSTRUCTIONS INTRODUCTION Welcome to your course on medical terminology. You’re taking this course because you’re most likely interested in pursuing a health and science career, which entails proficiencyincommunicatingwithhealthcareprofessionalssuchasphysicians,nurses, or dentists. -
Medical Microbiology and Infectious Diseases 22% Specialists in 2017 = 11%3
Medical Microbiology & Infectious Diseases Profile Updated December 2019 1 Table of Contents Slide . General Information 3-5 . Total number & number/100,000 population by province, 2019 6 . Number/100,000 population, 1995-2019 7 . Number by gender & year, 1995-2019 8 . Percentage by gender & age, 2019 9 . Number by gender & age, 2019 10 . Percentage by main work setting, 2019 11 . Percentage by practice organization, 2017 12 . Hours worked per week (excluding on-call), 2019 13 . On-call duty hours per month, 2019 14 . Percentage by remuneration method 15 . Professional & work-life balance satisfaction, 2019 16 . Number of retirees during the three year period of 2016-2018 17 . Employment situation, 2017 18 . Links to additional resources 19 2 General information Microbiology and infectious diseases focuses on the diagnosis and treatment of infectious diseases; thus, it is concerned with human illness due to micro-organisms. Since such disease can affect any and all organs and systems, this specialist must be prepared to deal with any region of the body. The specialty of Medical Microbiology and Infectious Disease consists primarily of four major spheres of activity: 1. the provision of clinical consultations on the investigation, diagnosis and treatment of patients suffering from infectious diseases; 2. the establishment and direction of infection control programs across the continuum of care; 3. public health and communicable disease prevention and epidemiology; 4. the scientific and administrative direction of a diagnostic microbiology laboratory. Source: Pathway evaluation program 3 General information Once you’ve completed medical school, it takes an additional 5 years of Royal College-approved residency training to become certified in medical microbiology and infectious disease. -
Diagnostic Tests Diagnostic Tests Attempt to Classify Whether Somebody Has a Disease Or Not Before Symptoms Are Present
community project encouraging academics to share statistics support resources All stcp resources are released under a Creative Commons licence stcp-rothwell-diagnostictests Diagnostic Tests Diagnostic tests attempt to classify whether somebody has a disease or not before symptoms are present. We are interested in detecting the disease early, while it is still curable. However, there is a need to establish how good a diagnostic test is in detecting disease. In this situation a 2x2 table similar to the below would be produced to test how effective a diagnostic test is at predicting the outcome of interest. A number of different measures can be calculated from this information. True Diagnosis Disease +ve Disease -ve Total Test Results +ve a b a+b -ve c d c+d a+c b+d N = This is the proportion of diseased individuals that are correctly Sensitivity: ( ) identified by the test as having the disease. (+ | ) + = This is the proportion of non-diseased individuals that Specificity: ( ) are correctly identified by the test as not having the disease. ( | ) + = This is the proportion − of individuals with Positive Predictive Value**: ( ) positive test results that are correctly diagnosed and actually have the disease. ( | + ) + = This is the proportion of individuals with Negative Predictive Value**: ( ) negative test results that are correctly diagnosed and do not have the disease. ( | + ) − © Joanne Rothwell Reviewer: Chris Knox University of Sheffield University of Sheffield Medical Statistics – diagnostic tests Positive Likelihood Ratio: = This gives a ratio of the test being positive + for patients with disease compared with those without disease. Aim to be much greater − than 1 for a good test. -
The Interplay of Circulating Tumor DNA and Chromatin Modification
Zhang et al. Molecular Cancer (2019) 18:36 https://doi.org/10.1186/s12943-019-0989-z REVIEW Open Access The interplay of circulating tumor DNA and chromatin modification, therapeutic resistance, and metastasis Lei Zhang1,2,3†, Yiyi Liang1,2,3†, Shifu Li1,2,3†, Fanyuan Zeng1,2,3†, Yongan Meng1,2,3†, Ziwei Chen1,2,3, Shuang Liu3, Yongguang Tao1,2,3,4* and Fenglei Yu4* Abstract Peripheral circulating free DNA (cfDNA) is DNA that is detected in plasma or serum fluid with a cell-free status. For cancer patients, cfDNA not only originates from apoptotic cells but also from necrotic tumor cells and disseminated tumor cells that have escaped into the blood during epithelial-mesenchymal transition. Additionally, cfDNA derived from tumors, also known as circulating tumor DNA (ctDNA), carries tumor-associated genetic and epigenetic changes in cancer patients, which makes ctDNA a potential biomarker for the early diagnosis of tumors, monitory and therapeutic evaluations, and prognostic assessments, among others, for various kinds of cancer. Moreover, analyses of cfDNA chromatin modifications can reflect the heterogeneity of tumors and have potential for predicting tumor drug resistance. Keywords: ctDNA, Chromatin modification, Therapeutic resistance, Metastasis, Tumor heterogeneity Biological features of ctDNA enter the blood in single, double or triple forms, and Peripheral circulating free DNA is DNA that is detected thus most ctDNA shows significant fragmentary charac- in plasma or serum fluid with a cell-free status. It may teristics. Moreover, the half-life of ctDNA in the blood originate from apoptosis or necrosis. The amount of cir- circulation is less than 2 hours [3]. -
Circulating Cell-Free DNA in Hepatocellular Carcinoma: Current Insights and Outlook
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by edoc REVIEW published: 26 March 2018 doi: 10.3389/fmed.2018.00078 Circulating Cell-Free DNA in Hepatocellular Carcinoma: Current Insights and Outlook Charlotte K. Y. Ng1,2*, Giovan Giuseppe Di Costanzo3, Luigi M. Terracciano1 and Salvatore Piscuoglio1* 1 Institute of Pathology, University Hospital Basel, Basel, Switzerland, 2 Department of Biomedicine, Hepatology Laboratory, University of Basel, Basel, Switzerland, 3 Department of Transplantation – Liver Unit, Cardarelli Hospital, Naples, Italy Over the past decade, the advancements in massively parallel sequencing have pro- vided a new paradigm in biomedical research to uncover the genetic basis of human diseases. Integration of ‘omics information has begun transforming clinical management of cancer patients in terms of diagnostics and treatment options, giving rise to the era of precision medicine. Currently, nucleic acids for molecular profiling for patients diagnosed with hepatocellular carcinoma (HCC) are typically obtained from resected tumor mate- rials or transplanted neoplastic liver and occasionally from biopsies. Given the intrinsic risks associated with such invasive procedures, circulating cell-free DNA (cfDNA) has been proposed as an alternative source for tumor DNA. Circulating cfDNA is a type of Edited by: cell-free nucleic acid that derives from apoptotic, necrotic, as well as living eukaryotic Venancio Avancini Alves, University of São Paulo, Brazil cells. Importantly, the detection of abnormal forms of circulating cfDNA that originate Reviewed by: from cancer cells provides a new tool for cancer detection, disease monitoring, and Fernando Schmitt, molecular profiling. Currently, cfDNA is beginning to be adopted into clinical practice Universidade do Porto, Portugal Marco Volante, as a non-invasive tool to monitor disease by tracking the evolution of disease-specific Università degli Studi di Torino, Italy genetic alterations in several major cancer types. -
Circulating Tumor Cells
The ability to isolate and molecularly analyze circulating tumor cells is becoming a reality. The Closest Exit May Be Behind You. Photograph courtesy of Craig Damlo. www.soapboxrocket.com. Circulating Tumor Cells: A Window Into Tumor Development and Therapeutic Effectiveness Gisela Cáceres, PhD, John A. Puskas, PhD, and Anthony M. Magliocco, MD Background: Circulating tumor cells (CTCs) are an important diagnostic tool for understanding the meta- static process and the development of cancer. Methods: This review covers the background, relevance, and potential limitations of CTCs as a measurement of cancer progression and how information derived from CTCs may affect treatment efficacy. It also highlights the difficulties of characterizing these rare cells due to the limited cell surface molecules unique to CTCs and each particular type of cancer. Results: The analysis of cancer in real time, through the measure of the number of CTCs in a “liquid” biopsy specimen, gives us the ability to monitor the therapeutic efficacy of treatments and possibly the metastatic potential of a tumor. Conclusions: Through novel and innovative techniques yielding encouraging results, including microfluidic techniques, isolating and molecularly analyzing CTCs are becoming a reality. CTCs hold promise for under- standing how tumors work and potentially aiding in their demise. Introduction States is attributed to cancer.2 The search for biomark- Cancer is a comprehensive term that includes a group ers that allow early detection and may therefore affect of diseases characterized by host cells growing with- the outcome of the disease is critical. The ability of out control. It has a multifactorial origin and, even cancer cells to spread in the body, producing metas- though many cancers are directly associated with risk tasis, is one of the most relevant characteristics of the factors in modern life, cancer is an ancient disease, disease and the cause of most cancer deaths.