![[feed]](/style/images/feed-icon-14x14.png){kind=icon}
Tools
Tools
Preview |
PDF (Original Article)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
343kB |
![[thumbnail of Supplementary Materials]](https://mdc-test.eprints-hosting.org/style/images/fileicons/other.png) |
Other (Supplementary Materials)
19MB |
| Item Type: | Article |
|---|---|
| Title: | Multi-omics alleviates the limitations of panel sequencing for cancer drug response prediction |
| Creators Name: | Baranovskii, A., Gündüz, I.B., Franke, V., Uyar, B. and Akalin, A. |
| Abstract: | Comprehensive genomic profiling using cancer gene panels has been shown to improve treatment options for a variety of cancer types. However, genomic aberrations detected via such gene panels do not necessarily serve as strong predictors of drug sensitivity. In this study, using pharmacogenomics datasets of cell lines, patient-derived xenografts, and ex vivo treated fresh tumor specimens, we demonstrate that utilizing the transcriptome on top of gene panel features substantially improves drug response prediction performance in cancer. |
| Keywords: | Multi-Omics, Cancer, Drug Response Prediction, Pharmacogenomics, Panel Sequencing |
| Source: | Cancers |
| ISSN: | 2072-6694 |
| Publisher: | MDPI |
| Volume: | 14 |
| Number: | 22 |
| Page Range: | 5604 |
| Date: | 15 November 2022 |
| Official Publication: | https://doi.org/10.3390/cancers14225604 |
| PubMed: | View item in PubMed |
Repository Staff Only: item control page
