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. 2020 Oct;16(30):2411-2420.
doi: 10.2217/fon-2020-0060. Epub 2020 Jul 20.

Modeling precision genomic-based radiation dose response in rectal cancer

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Modeling precision genomic-based radiation dose response in rectal cancer

Zhigang Yuan et al. Future Oncol. 2020 Oct.

Abstract

Aim: Genomic-based risk stratification to personalize radiation dose in rectal cancer. Patients & methods: We modeled genomic-based radiation dose response using the previously validated radiosensitivity index (RSI) and the clinically actionable genomic-adjusted radiation dose. Results: RSI of rectal cancer ranged from 0.19 to 0.81 in a bimodal distribution. A pathologic complete response rate of 21% was achieved in tumors with an RSI <0.31 at a minimal genomic-adjusted radiation dose of 29.76 when modeling RxRSI to the commonly prescribed physical dose of 50 Gy. RxRSI-based dose escalation to 55 Gy in tumors with an RSI of 0.31-0.34 could increase pathologic complete response by 10%. Conclusion: This study provides a theoretical platform for development of an RxRSI-based prospective trial in rectal cancer.

Keywords: chemoradiation therapy; genomic-adjusted radiation dose; pathologic response; radiosensitivity; rectal cancer.

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