Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Khorrami, Mohammadhadi, Viswanathan, Vidya Sakar, Reddy, Priyanka, Braman, Nathaniel, Kunte, Siddharth, Gupta, Amit, Abraham, Jame, Montero, Alberto J., Madabhushi, Anant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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
_version_ 1785089066482532352
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
work_keys_str_mv AT khorramimohammadhadi radiomicpredictsearlyresponsetocdk46inhibitorsinhormonereceptorpositivemetastaticbreastcancer
AT viswanathanvidyasakar radiomicpredictsearlyresponsetocdk46inhibitorsinhormonereceptorpositivemetastaticbreastcancer
AT reddypriyanka radiomicpredictsearlyresponsetocdk46inhibitorsinhormonereceptorpositivemetastaticbreastcancer
AT bramannathaniel radiomicpredictsearlyresponsetocdk46inhibitorsinhormonereceptorpositivemetastaticbreastcancer
AT kuntesiddharth radiomicpredictsearlyresponsetocdk46inhibitorsinhormonereceptorpositivemetastaticbreastcancer
AT guptaamit radiomicpredictsearlyresponsetocdk46inhibitorsinhormonereceptorpositivemetastaticbreastcancer
AT abrahamjame radiomicpredictsearlyresponsetocdk46inhibitorsinhormonereceptorpositivemetastaticbreastcancer
AT monteroalbertoj radiomicpredictsearlyresponsetocdk46inhibitorsinhormonereceptorpositivemetastaticbreastcancer
AT madabhushianant radiomicpredictsearlyresponsetocdk46inhibitorsinhormonereceptorpositivemetastaticbreastcancer