Oncology Scan: Radiation Biology and Genomic Predictors of Response
- PMID: 32531379
- PMCID: PMC8725062
- DOI: 10.1016/j.ijrobp.2020.04.008
Oncology Scan: Radiation Biology and Genomic Predictors of Response
Comment on
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Machine learning analysis of DNA methylation profiles distinguishes primary lung squamous cell carcinomas from head and neck metastases.Sci Transl Med. 2019 Sep 11;11(509):eaaw8513. doi: 10.1126/scitranslmed.aaw8513. Sci Transl Med. 2019. PMID: 31511427
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Clinicogenomic Radiotherapy Classifier Predicting the Need for Intensified Locoregional Treatment After Breast-Conserving Surgery for Early-Stage Breast Cancer.J Clin Oncol. 2019 Dec 10;37(35):3340-3349. doi: 10.1200/JCO.19.00761. Epub 2019 Oct 16. J Clin Oncol. 2019. PMID: 31618132 Free PMC article.
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CRISPR-engineered T cells in patients with refractory cancer.Science. 2020 Feb 28;367(6481):eaba7365. doi: 10.1126/science.aba7365. Epub 2020 Feb 6. Science. 2020. PMID: 32029687 Free PMC article. Clinical Trial.
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Integrating genomic features for non-invasive early lung cancer detection.Nature. 2020 Apr;580(7802):245-251. doi: 10.1038/s41586-020-2140-0. Epub 2020 Mar 25. Nature. 2020. PMID: 32269342 Free PMC article.
References
-
- Marples B, Dhar S. Radiobiology and the renewed potential for nanoparticles. Int J Radiat Oncol Biol Phys 2017;98:489–491. - PubMed
-
- Marples B, Welford SM. Radiation biology and circulating tumor cells. Int J Radiat Oncol Biol Phys 2018;100:813–815. - PubMed
-
- Marples B, Wilson GD. Predicting outcome using genomic-based liquid biomarkers. Int J Radiat Oncol Biol Phys 2020;106:1–4. - PubMed
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