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Molecular mechanisms underlying radioresistance: data compiled from isogenic cell experiments
Author(s) -
Takahiro Oike,
Tatsuya Ohno
Publication year - 2020
Publication title -
annals of translational medicine
Language(s) - English
Resource type - Journals
eISSN - 2305-5847
pISSN - 2305-5839
DOI - 10.21037/atm.2020.02.90
Subject(s) - radioresistance , computational biology , biology , bioinformatics , computer science , genetics , cell culture
Department of Radiation Oncology, Gunma University Graduate School of Medicine, Gunma, Japan; Gunma University Heavy Ion Medical Center, Gunma, Japan Correspondence to: Takahiro Oike, MD, PhD. Associate Professor, Department of Radiation Oncology, Gunma University Graduate School of Medicine, 3-39-22, Showa-machi, Maebashi, Gunma 371-8511, Japan. Email: oiketakahiro@gmail.com. Provenance and Peer Review: This article was commissioned by the Editorial Office, Annals of Translational Medicine. The article did not undergo external peer review. Comment on: Zhou ZR, Wang XY, Yu XL, et al. Building radiation-resistant model in triple-negative breast cancer to screen radioresistance-related molecular markers. Ann Transl Med 2020;8:108.

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