@article{b2300d5eb4cf4aafb60956aeb260fc8d,
title = "Breast cancer dormancy: need for clinically relevant models to address current gaps in knowledge",
abstract = "Breast cancer is the most commonly diagnosed cancer in the USA. Although advances in treatment over the past several decades have significantly improved the outlook for this disease, most women who are diagnosed with estrogen receptor positive disease remain at risk of metastatic relapse for the remainder of their life. The cellular source of late relapse in these patients is thought to be disseminated tumor cells that reactivate after a long period of dormancy. The biology of these dormant cells and their natural history over a patient{\textquoteright}s lifetime is largely unclear. We posit that research on tumor dormancy has been significantly limited by the lack of clinically relevant models. This review will discuss existing dormancy models, gaps in biological understanding, and propose criteria for future models to enhance their clinical relevance.",
author = "Bushnell, {Grace G.} and Deshmukh, {Abhijeet P.} and {den Hollander}, Petra and Ming Luo and Rama Soundararajan and Dongya Jia and Herbert Levine and Mani, {Sendurai A.} and Wicha, {Max S.}",
note = "Funding Information: S.A.M. is supported by the National Institutes of health (NIH) 2R01CA155243 and R01CA200970 and Cancer Research and Prevention Institutes of Texas CPRIT RP170172. H.L is supported by the National Science Foundation (NSF) Center for Theoretical Biological Physics (NSF PHY-2019745). H.L./S.A.M. are supported by NSF grant PHY-19357672. D.J. is supported by a training fellowship from the Gulf Coast Consortia in the Computational Cancer Biology Training Program (CPRIT grant no. RP170593). M.S.W. is supported by the Breast Cancer Research Foundation (BCRF) BCRF-18–173 and NIH R35CA197585. We thank Jordan Pietz and the Creative Communications Department at MD Anderson for help with graphic design of figures. Publisher Copyright: {\textcopyright} 2021, The Author(s).",
year = "2021",
month = dec,
doi = "10.1038/s41523-021-00269-x",
language = "English (US)",
volume = "7",
journal = "npj Breast Cancer",
issn = "2374-4677",
publisher = "Nature Publishing Group",
number = "1",
}