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
dc.contributor.author | Su, Jing | |
dc.contributor.author | Huang, Lynn S. | |
dc.contributor.author | Barnard, Ryan | |
dc.contributor.author | Parks, Graham | |
dc.contributor.author | Cappellari, James | |
dc.contributor.author | Bellinger, Christina | |
dc.contributor.author | Dotson, Travis | |
dc.contributor.author | Craddock, Lou | |
dc.contributor.author | Prakash, Bharat | |
dc.contributor.author | Hovda, Jonathan | |
dc.contributor.author | Clark, Hollins | |
dc.contributor.author | Petty, William Jeffrey | |
dc.contributor.author | Pasche, Boris | |
dc.contributor.author | Chan, Michael D. | |
dc.contributor.author | Miller, Lance D. | |
dc.contributor.author | Ruiz, Jimmy | |
dc.contributor.department | Biostatistics, School of Public Health | en_US |
dc.date.accessioned | 2022-10-27T11:37:23Z | |
dc.date.available | 2022-10-27T11:37:23Z | |
dc.date.issued | 2021-04-16 | |
dc.description.abstract | 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. | en_US |
dc.eprint.version | Final published version | en_US |
dc.identifier.citation | Su J, Huang LS, Barnard R, et al. 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. Front Oncol. 2021;11:584896. Published 2021 Apr 16. doi:10.3389/fonc.2021.584896 | en_US |
dc.identifier.uri | https://hdl.handle.net/1805/30421 | |
dc.language.iso | en_US | en_US |
dc.publisher | Frontiers Media | en_US |
dc.relation.isversionof | 10.3389/fonc.2021.584896 | en_US |
dc.relation.journal | Frontiers in Oncology | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.source | PMC | en_US |
dc.subject | Non-small cell lung cancer | en_US |
dc.subject | Molecular signature | en_US |
dc.subject | Fine needle aspiration | en_US |
dc.subject | Logistic regression | en_US |
dc.subject | Elastic net regularization | en_US |
dc.subject | Cancer subtyping | en_US |
dc.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 | en_US |
dc.type | Article | en_US |