Precision oncology: Current and future platforms for treatment selection Review
| Authors: | Tang, X.; Berger, M. F.; Solit, D. B. |
| Review Title: | Precision oncology: Current and future platforms for treatment selection |
| Abstract: | Genomic profiling of hundreds of cancer-associated genes is now a component of routine cancer care. DNA sequencing can identify mutations, mutational signatures, and structural alterations predictive of therapy response and assess for heritable cancer risk, but it has been less useful for identifying predictive biomarkers of sensitivity to cytotoxic chemotherapies, antibody drug conjugates, and immunotherapies. The clinical adoption of molecular profiling platforms such as RNA sequencing better suited to identifying those patients most likely to respond to immunotherapies and drug combinations will be critical to expanding the benefits of precision oncology. This review discusses the potential advantages of innovative molecular and functional profiling platforms designed to replace or complement targeted DNA sequencing and the major hurdles to their clinical adoption. © 2024 Elsevier Inc. |
| Keywords: | immunohistochemistry; genetics; mutation; review; cancer diagnosis; polymerase chain reaction; neoplasm; neoplasms; fluorescence; oncology; tumor marker; in situ hybridization; immunotherapy; medical oncology; genomics; drug therapy; therapy; personalized medicine; targeted cancer therapy; molecularly targeted therapy; molecular targeted therapy; procedures; high throughput sequencing; high-throughput nucleotide sequencing; dna sequencing; humans; human; whole genome sequencing; precision medicine; rna sequencing; biomarkers, tumor; cell free dna; personalized cancer therapy; functional precision oncology |
| Journal Title: | Trends in Cancer |
| Volume: | 10 |
| Issue: | 9 |
| ISSN: | 2405-8025 |
| Publisher: | Cell Press |
| Date Published: | 2024-09-01 |
| Start Page: | 781 |
| End Page: | 791 |
| Language: | English |
| DOI: | 10.1016/j.trecan.2024.06.009 |
| PUBMED: | 39030146 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Review -- MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PDF -- MSK corresponding author is David Solit -- Source: Scopus |
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