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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
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.
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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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