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

Ming Fan; Yajing Cui; Chao You; Li Liu; Yajia Gu; Weijun Peng; Qianming Bai; Xin Gao; Lihua Li

doi:10.1148/radiol.2021210738

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

Ming Fan, Yajing Cui, Chao You, Li Liu, Yajia Gu, Weijun Peng, Qianming Bai, Xin Gao, Lihua Li

Research output: Contribution to journal › Article › peer-review

22 Scopus citations

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.

Original language	English (US)
Journal	Radiology
DOIs	https://doi.org/10.1148/radiol.2021210738
State	Published - Nov 30 2021

Bibliographical note

KAUST Repository Item: Exported on 2021-12-14

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1148/radiol.2021210738

https://repository.kaust.edu.sa/bitstream/10754/673871/1/261133_0_merged_1613806767.pdf

Cite this

@article{f47bf515687b460ca963e6d286af0c1f,

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

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.",

author = "Ming Fan and Yajing Cui and Chao You and Li Liu and Yajia Gu and Weijun Peng and Qianming Bai and Xin Gao and Lihua Li",

note = "KAUST Repository Item: Exported on 2021-12-14",

year = "2021",

month = nov,

day = "30",

doi = "10.1148/radiol.2021210738",

language = "English (US)",

journal = "Radiology",

issn = "0033-8419",

publisher = "Radiological Society of North America Inc.",

}

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T1 - Radiogenomic Signatures of Oncotype DX Recurrence Score Enable Prediction of Survival in Estrogen Receptor–Positive Breast Cancer: A Multicohort Study

AU - Fan, Ming

AU - Cui, Yajing

AU - You, Chao

AU - Liu, Li

AU - Gu, Yajia

AU - Peng, Weijun

AU - Bai, Qianming

AU - Gao, Xin

AU - Li, Lihua

N1 - KAUST Repository Item: Exported on 2021-12-14

PY - 2021/11/30

Y1 - 2021/11/30

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10754/673871

UR - http://pubs.rsna.org/doi/10.1148/radiol.2021210738

U2 - 10.1148/radiol.2021210738

DO - 10.1148/radiol.2021210738

M3 - Article

C2 - 34846204

SN - 0033-8419

JO - Radiology

JF - Radiology

ER -

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

Abstract

Bibliographical note

ASJC Scopus subject areas

UN SDGs

Access to Document

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