التفاصيل البيبلوغرافية
| العنوان: |
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 |
| المؤلفون: |
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 |
| المساهمون: |
Biostatistics, School of Public Health |
| المصدر: |
PMC |
| بيانات النشر: |
Frontiers Media |
| سنة النشر: |
2021 |
| المجموعة: |
Indiana University - Purdue University Indianapolis: IUPUI Scholar Works |
| مصطلحات موضوعية: |
Non-small cell lung cancer, Molecular signature, Fine needle aspiration, Logistic regression, Elastic net regularization, Cancer subtyping |
| الوصف: |
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. |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
Frontiers in Oncology; 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; https://hdl.handle.net/1805/30421 |
| الاتاحة: |
https://hdl.handle.net/1805/30421 |
| Rights: |
Attribution 4.0 International ; http://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: |
edsbas.F889612 |
| قاعدة البيانات: |
BASE |