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Radiomic predicts early response to CDK4/6 inhibitors in hormone receptor positive metastatic breast cancer

Authors :
Mohammadhadi Khorrami
Vidya Sakar Viswanathan
Priyanka Reddy
Nathaniel Braman
Siddharth Kunte
Amit Gupta
Jame Abraham
Alberto J. Montero
Anant Madabhushi
Source :
npj Breast Cancer, Vol 9, Iss 1, Pp 1-9 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

Abstract The combination of Cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) and endocrine therapy (ET) is the standard of care for hormone receptor-positive (HR + ), human epidermal growth factor receptor 2-negative (HER2-) metastatic breast cancer (MBC). Currently, there are no robust biomarkers that can predict response to CDK4/6i, and it is not clear which patients benefit from this therapy. Since MBC patients with liver metastases have a poorer prognosis, developing predictive biomarkers that could identify patients likely to respond to CDK4/6i is clinically important. Here we show the ability of imaging texture biomarkers before and a few cycles after CDK4/6i therapy, to predict early response and overall survival (OS) on 73 MBC patients with known liver metastases who received palbociclib plus ET from two sites. The delta radiomic model was associated with OS in validation set (HR: 2.4; 95% CI, 1.06–5.6; P = 0.035; C-index = 0.77). Compared to RECIST response, delta radiomic features predicted response with area under the curve (AUC) = 0.72, 95% confidence interval (CI) 0.67–0.88. Our study revealed that radiomics features can predict a lack of response earlier than standard anatomic/RECIST 1.1 assessment and warrants further study and clinical validation.

Details

Language :
English
ISSN :
23744677 and 63439786
Volume :
9
Issue :
1
Database :
Directory of Open Access Journals
Journal :
npj Breast Cancer
Publication Type :
Academic Journal
Accession number :
edsdoj.f997f48cfd63439786061cd76e2b42ae
Document Type :
article
Full Text :
https://doi.org/10.1038/s41523-023-00574-7