Cargando…

Development and Validation of a Gene Expression Score That Predicts Response to Fulvestrant in Breast Cancer Patients

Fulvestrant is a selective estrogen receptor antagonist. Based on the measured growth inhibition of 60 human cancer cell lines (NCI60) in the presence of fulvestrant, as well as the baseline gene expression of the 60 cell lines, a gene expression score that predicts response to fulvestrant was devel...

Descripción completa

Detalles Bibliográficos
Autores principales: Knudsen, Steen, Jensen, Thomas, Hansen, Anker, Mazin, Wiktor, Lindemann, Justin, Kuter, Irene, Laing, Naomi, Anderson, Elizabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914825/
https://www.ncbi.nlm.nih.gov/pubmed/24505287
http://dx.doi.org/10.1371/journal.pone.0087415
_version_ 1782302472464760832
author Knudsen, Steen
Jensen, Thomas
Hansen, Anker
Mazin, Wiktor
Lindemann, Justin
Kuter, Irene
Laing, Naomi
Anderson, Elizabeth
author_facet Knudsen, Steen
Jensen, Thomas
Hansen, Anker
Mazin, Wiktor
Lindemann, Justin
Kuter, Irene
Laing, Naomi
Anderson, Elizabeth
author_sort Knudsen, Steen
collection PubMed
description Fulvestrant is a selective estrogen receptor antagonist. Based on the measured growth inhibition of 60 human cancer cell lines (NCI60) in the presence of fulvestrant, as well as the baseline gene expression of the 60 cell lines, a gene expression score that predicts response to fulvestrant was developed. The score is based on 414 genes, 103 of which show increased expression in sensitive cell lines, while 311 show increased expression in the non-responding cell lines. The sensitivity genes primarily sense signaling through estrogen receptor alpha, whereas the resistance genes modulate the PI3K signaling pathway. The latter genes suggest that resistance to fulvestrant can be overcome by drugs targeting the PI3K pathway. The level of this gene expression score and its correlation with fulvestrant response was measured in a panel of 20 breast cancer cell lines. The predicted sensitivity matched the measured sensitivity well (CC = −0.63, P = 0.003). The predictor was applied to tumor biopies obtained from a Phase II clinical trial. The sensitivity of each patient to treatment with fulvestrant was predicted based on the RNA profile of the biopsy taken before neoadjuvant treatment and without knowledge of the subsequent response. The prediction was then compared to clinical response to show that the responders had a significantly higher sensitivity prediction than the non-responders (P = 0.01). When clinical covariates, tumor grade and estrogen receptor H-score, were included in the prediction, the difference in predicted senstivity between responders and non-responders improved (P = 0.003). Using a pre-defined cutoff to separate patients into predicted sensitive and predicted resistant yielded a positive predictive value of 88% and a negative predictive value of 100% when compared to clinical data. We conclude that pre-screening patients with the new gene expression predictor has the potential to identify those postmenopausal women with locally advanced, estrogen-receptor-positive breast cancer most likely to respond to fulvestrant.
format Online
Article
Text
id pubmed-3914825
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-39148252014-02-06 Development and Validation of a Gene Expression Score That Predicts Response to Fulvestrant in Breast Cancer Patients Knudsen, Steen Jensen, Thomas Hansen, Anker Mazin, Wiktor Lindemann, Justin Kuter, Irene Laing, Naomi Anderson, Elizabeth PLoS One Research Article Fulvestrant is a selective estrogen receptor antagonist. Based on the measured growth inhibition of 60 human cancer cell lines (NCI60) in the presence of fulvestrant, as well as the baseline gene expression of the 60 cell lines, a gene expression score that predicts response to fulvestrant was developed. The score is based on 414 genes, 103 of which show increased expression in sensitive cell lines, while 311 show increased expression in the non-responding cell lines. The sensitivity genes primarily sense signaling through estrogen receptor alpha, whereas the resistance genes modulate the PI3K signaling pathway. The latter genes suggest that resistance to fulvestrant can be overcome by drugs targeting the PI3K pathway. The level of this gene expression score and its correlation with fulvestrant response was measured in a panel of 20 breast cancer cell lines. The predicted sensitivity matched the measured sensitivity well (CC = −0.63, P = 0.003). The predictor was applied to tumor biopies obtained from a Phase II clinical trial. The sensitivity of each patient to treatment with fulvestrant was predicted based on the RNA profile of the biopsy taken before neoadjuvant treatment and without knowledge of the subsequent response. The prediction was then compared to clinical response to show that the responders had a significantly higher sensitivity prediction than the non-responders (P = 0.01). When clinical covariates, tumor grade and estrogen receptor H-score, were included in the prediction, the difference in predicted senstivity between responders and non-responders improved (P = 0.003). Using a pre-defined cutoff to separate patients into predicted sensitive and predicted resistant yielded a positive predictive value of 88% and a negative predictive value of 100% when compared to clinical data. We conclude that pre-screening patients with the new gene expression predictor has the potential to identify those postmenopausal women with locally advanced, estrogen-receptor-positive breast cancer most likely to respond to fulvestrant. Public Library of Science 2014-02-05 /pmc/articles/PMC3914825/ /pubmed/24505287 http://dx.doi.org/10.1371/journal.pone.0087415 Text en © 2014 Knudsen et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Knudsen, Steen
Jensen, Thomas
Hansen, Anker
Mazin, Wiktor
Lindemann, Justin
Kuter, Irene
Laing, Naomi
Anderson, Elizabeth
Development and Validation of a Gene Expression Score That Predicts Response to Fulvestrant in Breast Cancer Patients
title Development and Validation of a Gene Expression Score That Predicts Response to Fulvestrant in Breast Cancer Patients
title_full Development and Validation of a Gene Expression Score That Predicts Response to Fulvestrant in Breast Cancer Patients
title_fullStr Development and Validation of a Gene Expression Score That Predicts Response to Fulvestrant in Breast Cancer Patients
title_full_unstemmed Development and Validation of a Gene Expression Score That Predicts Response to Fulvestrant in Breast Cancer Patients
title_short Development and Validation of a Gene Expression Score That Predicts Response to Fulvestrant in Breast Cancer Patients
title_sort development and validation of a gene expression score that predicts response to fulvestrant in breast cancer patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914825/
https://www.ncbi.nlm.nih.gov/pubmed/24505287
http://dx.doi.org/10.1371/journal.pone.0087415
work_keys_str_mv AT knudsensteen developmentandvalidationofageneexpressionscorethatpredictsresponsetofulvestrantinbreastcancerpatients
AT jensenthomas developmentandvalidationofageneexpressionscorethatpredictsresponsetofulvestrantinbreastcancerpatients
AT hansenanker developmentandvalidationofageneexpressionscorethatpredictsresponsetofulvestrantinbreastcancerpatients
AT mazinwiktor developmentandvalidationofageneexpressionscorethatpredictsresponsetofulvestrantinbreastcancerpatients
AT lindemannjustin developmentandvalidationofageneexpressionscorethatpredictsresponsetofulvestrantinbreastcancerpatients
AT kuterirene developmentandvalidationofageneexpressionscorethatpredictsresponsetofulvestrantinbreastcancerpatients
AT laingnaomi developmentandvalidationofageneexpressionscorethatpredictsresponsetofulvestrantinbreastcancerpatients
AT andersonelizabeth developmentandvalidationofageneexpressionscorethatpredictsresponsetofulvestrantinbreastcancerpatients