Radiogenomic Signatures of Oncotype DX Recurrence Score Enable Prediction of Survival in Estrogen Receptor–Positive Breast Cancer: A Multicohort Study

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Type
Article
Authors
Fan, Ming
Cui, Yajing cc
You, Chao cc
Liu, Li cc
Gu, Yajia cc
Peng, Weijun cc
Bai, Qianming
Gao, Xin cc
Li, Lihua cc
KAUST Department
Computational Bioscience Research Center (CBRC)
Computer Science Program
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Structural and Functional Bioinformatics Group
Date
2021-11-30
Online Publication Date
2021-11-30
Print Publication Date
2022-03
Embargo End Date
2022-05-30
Submitted Date
2021-05-20
Permanent link to this record
http://hdl.handle.net/10754/673871

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Abstract
Radiogenomic signatures associated with genomic assays (Oncotype DX) were identified as independent predictors after adjusting for clinical factors for survival and neoadjuvant chemotherapy response in estrogen receptor–positive breast cancer.
Citation
Fan, M., Cui, Y., You, C., Liu, L., Gu, Y., Peng, W., … Li, L. (2021). Radiogenomic Signatures of Oncotype DX Recurrence Score Enable Prediction of Survival in Estrogen Receptor–Positive Breast Cancer: A Multicohort Study. Radiology. doi:10.1148/radiol.2021210738
Publisher
Radiological Society of North America (RSNA)
Journal
Radiology
DOI
10.1148/radiol.2021210738
Additional Links
http://pubs.rsna.org/doi/10.1148/radiol.2021210738
Collections
Articles; Structural and Functional Bioinformatics Group; Computer Science Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division