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Radiomic predicts early response to CDK4/6 inhibitors in hormone receptor positive metastatic breast cancer
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 p...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10421862/ https://www.ncbi.nlm.nih.gov/pubmed/37567880 http://dx.doi.org/10.1038/s41523-023-00574-7 |
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author | Khorrami, Mohammadhadi Viswanathan, Vidya Sakar Reddy, Priyanka Braman, Nathaniel Kunte, Siddharth Gupta, Amit Abraham, Jame Montero, Alberto J. Madabhushi, Anant |
author_facet | Khorrami, Mohammadhadi Viswanathan, Vidya Sakar Reddy, Priyanka Braman, Nathaniel Kunte, Siddharth Gupta, Amit Abraham, Jame Montero, Alberto J. Madabhushi, Anant |
author_sort | Khorrami, Mohammadhadi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10421862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104218622023-08-13 Radiomic predicts early response to CDK4/6 inhibitors in hormone receptor positive metastatic breast cancer Khorrami, Mohammadhadi Viswanathan, Vidya Sakar Reddy, Priyanka Braman, Nathaniel Kunte, Siddharth Gupta, Amit Abraham, Jame Montero, Alberto J. Madabhushi, Anant NPJ Breast Cancer Article 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. Nature Publishing Group UK 2023-08-11 /pmc/articles/PMC10421862/ /pubmed/37567880 http://dx.doi.org/10.1038/s41523-023-00574-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Khorrami, Mohammadhadi Viswanathan, Vidya Sakar Reddy, Priyanka Braman, Nathaniel Kunte, Siddharth Gupta, Amit Abraham, Jame Montero, Alberto J. Madabhushi, Anant Radiomic predicts early response to CDK4/6 inhibitors in hormone receptor positive metastatic breast cancer |
title | Radiomic predicts early response to CDK4/6 inhibitors in hormone receptor positive metastatic breast cancer |
title_full | Radiomic predicts early response to CDK4/6 inhibitors in hormone receptor positive metastatic breast cancer |
title_fullStr | Radiomic predicts early response to CDK4/6 inhibitors in hormone receptor positive metastatic breast cancer |
title_full_unstemmed | Radiomic predicts early response to CDK4/6 inhibitors in hormone receptor positive metastatic breast cancer |
title_short | Radiomic predicts early response to CDK4/6 inhibitors in hormone receptor positive metastatic breast cancer |
title_sort | radiomic predicts early response to cdk4/6 inhibitors in hormone receptor positive metastatic breast cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10421862/ https://www.ncbi.nlm.nih.gov/pubmed/37567880 http://dx.doi.org/10.1038/s41523-023-00574-7 |
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