The DOI matches its Crossref record; 165 of the 165 references it cites were found in a registry or an index.
Molecular profiling for precision cancer therapies
Open accessAbstract
The number of druggable tumor-specific molecular aberrations has grown substantially in the past decade, with a significant survival benefit obtained from biomarker matching therapies in several cancer types. Molecular pathology has therefore become fundamental not only to inform on tumor diagnosis and prognosis but also to drive therapeutic decisions in daily practice. The introduction of next-generation sequencing technologies and the rising number of large-scale tumor molecular profiling programs across institutions worldwide have revolutionized the field of precision oncology. As comprehensive genomic analyses become increasingly available in both clinical and research settings, healthcare professionals are faced with the complex tasks of result interpretation and translation. This review summarizes the current and upcoming approaches to implement precision cancer medicine, highlighting the challenges and potential solutions to facilitate the interpretation and to maximize the clinical utility of molecular profiling results. We describe novel molecular characterization strategies beyond tumor DNA sequencing, such as transcriptomics, immunophenotyping, epigenetic profiling, and single-cell analyses. We also review current and potential applications of liquid biopsies to evaluate blood-based biomarkers, such as circulating tumor cells and circulating nucleic acids. Last, lessons learned from the existing limitations of genotype-derived therapies provide insights into ways to expand precision medicine beyond genomics.
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Metadata
- Authors
- Malone, E. R., Oliva, M., Sabatini, P. J. B., Stockley, T. L., & Siu, L. L.
- Venue
- Genome Medicine
- Published
- 2020-01-14
- Volume
- 12
- Issue
- 1
- Pages
- 8-8
- ISSN
- 1756-994X (ISSN-L)
- OpenAlex
- W3004781275
- Cited by
- 913
- References
- 165
- FWCI
- 33.58
- Type
- journal article
- Language
- en
- Open access
- gold
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- Malone, E. R., Oliva, M., Sabatini, P. J. B., Stockley, T. L., & Siu, L. L. (2020). Molecular profiling for precision cancer therapies. Genome Medicine. https://doi.org/10.1186/s13073-019-0703-1
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
