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Comprehensive and Computable Molecular Diagnostic Panel (C2Dx) From Small Volume Specimens for Precision Oncology: Molecular Subtyping of Non-Small Cell Lung Cancer From Fine Needle Aspirates
The Comprehensive, Computable NanoString Diagnostic gene panel (C2Dx) is a promising solution to address the need for a molecular pathological research and diagnostic tool for precision oncology utilizing small volume tumor specimens. We translate subtyping-related gene expression patterns of Non-Sm...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085404/ https://www.ncbi.nlm.nih.gov/pubmed/33937015 http://dx.doi.org/10.3389/fonc.2021.584896 |
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author | Su, Jing Huang, Lynn S. Barnard, Ryan Parks, Graham Cappellari, James Bellinger, Christina Dotson, Travis Craddock, Lou Prakash, Bharat Hovda, Jonathan Clark, Hollins Petty, William Jeffrey Pasche, Boris Chan, Michael D. Miller, Lance D. Ruiz, Jimmy |
author_facet | Su, Jing Huang, Lynn S. Barnard, Ryan Parks, Graham Cappellari, James Bellinger, Christina Dotson, Travis Craddock, Lou Prakash, Bharat Hovda, Jonathan Clark, Hollins Petty, William Jeffrey Pasche, Boris Chan, Michael D. Miller, Lance D. Ruiz, Jimmy |
author_sort | Su, Jing |
collection | PubMed |
description | The Comprehensive, Computable NanoString Diagnostic gene panel (C2Dx) is a promising solution to address the need for a molecular pathological research and diagnostic tool for precision oncology utilizing small volume tumor specimens. We translate subtyping-related gene expression patterns of Non-Small Cell Lung Cancer (NSCLC) derived from public transcriptomic data which establish a highly robust and accurate subtyping system. The C2Dx demonstrates supreme performance on the NanoString platform using microgram-level FNA samples and has excellent portability to frozen tissues and RNA-Seq transcriptomic data. This workflow shows great potential for research and the clinical practice of cancer molecular diagnosis. |
format | Online Article Text |
id | pubmed-8085404 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80854042021-05-01 Comprehensive and Computable Molecular Diagnostic Panel (C2Dx) From Small Volume Specimens for Precision Oncology: Molecular Subtyping of Non-Small Cell Lung Cancer From Fine Needle Aspirates Su, Jing Huang, Lynn S. Barnard, Ryan Parks, Graham Cappellari, James Bellinger, Christina Dotson, Travis Craddock, Lou Prakash, Bharat Hovda, Jonathan Clark, Hollins Petty, William Jeffrey Pasche, Boris Chan, Michael D. Miller, Lance D. Ruiz, Jimmy Front Oncol Oncology The Comprehensive, Computable NanoString Diagnostic gene panel (C2Dx) is a promising solution to address the need for a molecular pathological research and diagnostic tool for precision oncology utilizing small volume tumor specimens. We translate subtyping-related gene expression patterns of Non-Small Cell Lung Cancer (NSCLC) derived from public transcriptomic data which establish a highly robust and accurate subtyping system. The C2Dx demonstrates supreme performance on the NanoString platform using microgram-level FNA samples and has excellent portability to frozen tissues and RNA-Seq transcriptomic data. This workflow shows great potential for research and the clinical practice of cancer molecular diagnosis. Frontiers Media S.A. 2021-04-16 /pmc/articles/PMC8085404/ /pubmed/33937015 http://dx.doi.org/10.3389/fonc.2021.584896 Text en Copyright © 2021 Su, Huang, Barnard, Parks, Cappellari, Bellinger, Dotson, Craddock, Prakash, Hovda, Clark, Petty, Pasche, Chan, Miller and Ruiz https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Su, Jing Huang, Lynn S. Barnard, Ryan Parks, Graham Cappellari, James Bellinger, Christina Dotson, Travis Craddock, Lou Prakash, Bharat Hovda, Jonathan Clark, Hollins Petty, William Jeffrey Pasche, Boris Chan, Michael D. Miller, Lance D. Ruiz, Jimmy Comprehensive and Computable Molecular Diagnostic Panel (C2Dx) From Small Volume Specimens for Precision Oncology: Molecular Subtyping of Non-Small Cell Lung Cancer From Fine Needle Aspirates |
title | Comprehensive and Computable Molecular Diagnostic Panel (C2Dx) From Small Volume Specimens for Precision Oncology: Molecular Subtyping of Non-Small Cell Lung Cancer From Fine Needle Aspirates |
title_full | Comprehensive and Computable Molecular Diagnostic Panel (C2Dx) From Small Volume Specimens for Precision Oncology: Molecular Subtyping of Non-Small Cell Lung Cancer From Fine Needle Aspirates |
title_fullStr | Comprehensive and Computable Molecular Diagnostic Panel (C2Dx) From Small Volume Specimens for Precision Oncology: Molecular Subtyping of Non-Small Cell Lung Cancer From Fine Needle Aspirates |
title_full_unstemmed | Comprehensive and Computable Molecular Diagnostic Panel (C2Dx) From Small Volume Specimens for Precision Oncology: Molecular Subtyping of Non-Small Cell Lung Cancer From Fine Needle Aspirates |
title_short | Comprehensive and Computable Molecular Diagnostic Panel (C2Dx) From Small Volume Specimens for Precision Oncology: Molecular Subtyping of Non-Small Cell Lung Cancer From Fine Needle Aspirates |
title_sort | comprehensive and computable molecular diagnostic panel (c2dx) from small volume specimens for precision oncology: molecular subtyping of non-small cell lung cancer from fine needle aspirates |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085404/ https://www.ncbi.nlm.nih.gov/pubmed/33937015 http://dx.doi.org/10.3389/fonc.2021.584896 |
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