This page is part of the Evidence Based Medicine on FHIR Implementation Guide (v1.0.0-ballot: STU1 Ballot 1) based on FHIR (HL7® FHIR® Standard) v5.0.0. . For a full list of available versions, see the Directory of published versions
Active as of 2023-12-17 |
Resource Citation "179559" Version "5" Updated "2023-12-02 22:30:09+0000"
Profile: DatasetCitation
StructureDefinition Work Group: cds
url: https://fevir.net/resources/Citation/179559
identifier: FEvIR Object Identifier: 179559
version: 1.0.0-ballot
title: DatasetCitation: Extrachromosomal DNA Amplification Contributes to Small Cell Lung Cancer Heterogeneity and is Associated with Worse Outcomes
status: active
date: 2023-12-17 16:55:23+0000
publisher: HL7 International / Clinical Decision Support
contact: HL7 International / Clinical Decision Support: http://www.hl7.org/Special/committees/dss
description: This Citation Resource is referenced in an example for the EBMonFHIR Implementation Guide.
jurisdiction: World (m49.htm#001)
copyright: https://creativecommons.org/licenses/by-nc-sa/4.0/
author: Brian S. Alper:
Style | Text |
Computable Publishing (Citation Summary Style#comppub) | Extrachromosomal DNA Amplification Contributes to Small Cell Lung Cancer Heterogeneity and is Associated with Worse Outcomes [Dataset]. Contributors: Anish Thomas, Lorinc S. Pongor, Rajesh Kumar, Parth Desai [Authors]. In: database of Genotypes and Phenotypes, Accession Number phs003190.v1.p1. Published October 16, 2023. Available at: https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs003190.v1.p1. |
citedArtifact
identifier: dbGaP Study Accession: phs003190.v1.p1
Titles
Type Language Text Primary title (Title Type#primary) English (Tags for the Identification of Languages#en) Extrachromosomal DNA Amplification Contributes to Small Cell Lung Cancer Heterogeneity and is Associated with Worse Outcomes Abstracts
Type Language Text Study Description (Evidence Based Medicine on FHIR Implementation Guide Code System#description "Description") English (Tags for the Identification of Languages#en) Small-cell lung cancer (SCLC) is a very aggressive neuroendocrine lung cancer often associated with oncogenic MYC amplifications, which are known to drive SCLC heterogeneity marked by neuroendocrine (NE) and non-neuroendocrine (non-NE) cell states. The genetic mechanisms of MYC amplification and phenotypic plasticity between cell states is not known. Using data from cell-lines and a few patient-derived samples along with integrated whole-genome sequencing, long-range optical mapping, single-cell DNA sequencing, and fluorescence in situ hybridization, we have attempted to successfully characterize extrachromosomal DNA (ecDNA) as the primary source of MYC amplifications and driver fusions in SCLC. Study Design: Cross-Sectional Study Type: Observational Total number of consented subjects: 5 publicationForm
PublishedIns
Type Identifier Title Publisher PublisherLocation Database (Published In Type#D019991) Abbreviation: dbGaP database of Genotypes and Phenotypes : NLM Bethesda, MD, USA citedMedium: Internet (Cited Medium#internet)
articleDate: 2023-10-16
accessionNumber: phs003190.v1.p1
pageCount: Total number of consented subjects: 5
copyright: Data access provided by: dbGaP Authorized Access. For publicly available data (public ftp), Connect to the public download site. The site contains release notes and manifests. The site also contains data dictionaries, variable summaries, documents, and truncated analyses, whenever available.
webLocation
classifier: Webpage (Artifact Url Classifier#webpage)
url: https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs003190.v1.p1
webLocation
classifier: public download site (Evidence Based Medicine on FHIR Implementation Guide Code System#defined-in-text "Defined in text")
url: https://ftp.ncbi.nlm.nih.gov/dbgap/studies/phs003190/phs003190.v1.p1
classification
type: Knowledge Artifact Type (Cited Artifact Classification Type#knowledge-artifact-type)
classifier: Dataset (Citation Artifact Classifier#D064886)
classification
type: Study Design (Evidence Based Medicine on FHIR Implementation Guide Code System#study-design)
classifier: Cross-Sectional (Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide#SEVCO:01027 "Cross sectional data collection"), Observational Research (Scientific Evidence Code System (SEVCO) -- EXAMPLE VERSION for EBMonFHIR Implementation Guide#SEVCO:01002 "observational research")
classification
type: Primary Phenotype (Evidence Based Medicine on FHIR Implementation Guide Code System#defined-in-text "Defined in text")
classifier: Small Cell Lung Carcinoma (Evidence Based Medicine on FHIR Implementation Guide Code System#defined-in-text "Defined in text")
contributorship
complete: true
entry
name: Anish Thomas
affiliation: : Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
contributionType: Principal Investigator (Evidence Based Medicine on FHIR Implementation Guide Code System#principal-investigator)
role: Author/Creator (Contributor Role#author)
entry
name: Lorinc S. Pongor
affiliation: : Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
contributionType: Co-Investigator (Evidence Based Medicine on FHIR Implementation Guide Code System#co-investigator)
role: Author/Creator (Contributor Role#author)
entry
name: Rajesh Kumar
affiliation: : Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
contributionType: Co-Investigator (Evidence Based Medicine on FHIR Implementation Guide Code System#co-investigator)
role: Author/Creator (Contributor Role#author)
entry
name: Parth Desai
affiliation: : Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
contributionType: Co-Investigator (Evidence Based Medicine on FHIR Implementation Guide Code System#co-investigator)
role: Author/Creator (Contributor Role#author)
Generated Narrative: Practitioner #contributor0
name: Anish Thomas
Generated Narrative: Practitioner #contributor1
name: Lorinc S. Pongor
Generated Narrative: Practitioner #contributor2
name: Rajesh Kumar
Generated Narrative: Practitioner #contributor3
name: Parth Desai