Advancing precision oncology with large, real-world genomics and treatment outcomes data
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Biochemistry, Genetics and Molecular Biology,General Medicine
Link
https://www.nature.com/articles/s41591-022-01904-1.pdf
Reference5 articles.
1. Hodson, R. Precision medicine. Nature 537, S49 (2016). This outlook article highlights the need to translate the genomics profiles of patients into better treatment recommendations for precision medicine.
2. Marquart, J., Chen, E. Y. & Prasad, V. Estimation of the percentage of US patients with cancer who benefit from genome-driven oncology. JAMA Oncol. 4, 1093–1098 (2018). This paper reports that only a minority of patients with cancer are eligible for genomics-informed therapy recommendations.
3. Raponi, M., Winkler, H. & Dracopoli, N. C. KRAS mutations predict response to EGFR inhibitors. Curr. Opin. Pharmacol. 8, 413–418 (2008). This paper reports that KRAS mutations are associated with resistance to EGFR inhibitors in advanced non–small-cell lung cancer.
4. Blonde, L., Khunti, K., Harris, S. B., Meizinger, C. & Skolnik, N. S. Interpretation and impact of real-world clinical data for the practicing clinician. Adv. Ther. 35, 1763–1774 (2018). This review discusses the advantages and limitations of real-world clinical data analysis.
5. Ma, X. et al. Comparison of population characteristics in real-world clinical oncology databases in the US: Flatiron Health, SEER, and NPCR. Preprint at medRxiv https://doi.org/10.1101/2020.03.16.20037143 (2020). This paper reports the population characteristics of the cohort used in our study.
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