A Pathology-Based Combined Model to Identify PAM50 Non-luminal Intrinsic Disease in Hormone Receptor-Positive HER2-Negative Breast Cancer

Background: In hormone receptor-positive (HR+)/HER2-negative breast cancer, the HER2-enriched and Basal-like intrinsic subtypes are associated with poor outcome, low response to anti-estrogen therapy and high response to chemotherapy. To date, no validated biomarker exists to identify both molecular...

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Authors: Pascual, T; Martin, M; Fernandez-Martinez, A; Pare, L; Alba, E; Rodriguez-Lescure, A; Perrone, G; Cortes, J; Morales, S; Lluch, A; Urruticoechea, A; Gonzalez-Farre, B; Galvan, P; Jares, P; Rodriguez, A; Chic, N; Righi, D; Cejalvo, JM; Tonini, G; Adamo, B; Vidal, M; Villagrasa, P; Munoz, M; Prat, A
Format: Article
Status:Published version
Publication date:2019
Country:España
Institution:INCLIVA
Repository:r-INCLIVA. Repositorio Institucional de Producción Científica de INCLIVA
OAI Identifier:oai:incliva.fundanetsuite.com:p3642
Online Access:https://incliva.portalinvestigacion.com/publicaciones/3642
Access Level:Open access
Keyword:intrinsic subtype
non-luminal
PAM50
breast cancer
gene expression
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author Pascual, T
author2 Martin, M
Fernandez-Martinez, A
Pare, L
Alba, E
Rodriguez-Lescure, A
Perrone, G
Cortes, J
Morales, S
Lluch, A
Urruticoechea, A
Gonzalez-Farre, B
Galvan, P
Jares, P
Rodriguez, A
Chic, N
Righi, D
Cejalvo, JM
Tonini, G
Adamo, B
Vidal, M
Villagrasa, P
Munoz, M
Prat, A
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author_browse Adamo, B
Alba, E
Cejalvo, JM
Chic, N
Cortes, J
Fernandez-Martinez, A
Galvan, P
Gonzalez-Farre, B
Jares, P
Lluch, A
Martin, M
Morales, S
Munoz, M
Pare, L
Pascual, T
Perrone, G
Prat, A
Righi, D
Rodriguez, A
Rodriguez-Lescure, A
Tonini, G
Urruticoechea, A
Vidal, M
Villagrasa, P
author_facet Pascual, T
Martin, M
Fernandez-Martinez, A
Pare, L
Alba, E
Rodriguez-Lescure, A
Perrone, G
Cortes, J
Morales, S
Lluch, A
Urruticoechea, A
Gonzalez-Farre, B
Galvan, P
Jares, P
Rodriguez, A
Chic, N
Righi, D
Cejalvo, JM
Tonini, G
Adamo, B
Vidal, M
Villagrasa, P
Munoz, M
Prat, A
author_role author
collection r-INCLIVA. Repositorio Institucional de Producción Científica de INCLIVA
description Background: In hormone receptor-positive (HR+)/HER2-negative breast cancer, the HER2-enriched and Basal-like intrinsic subtypes are associated with poor outcome, low response to anti-estrogen therapy and high response to chemotherapy. To date, no validated biomarker exists to identify both molecular entities other than gene expression. Methods: PAM50 subtyping and immunohistochemical data were obtained from 8 independent studies of 1,416 HR+/HER2-negative early breast tumors. A non-luminal disease score (NOLUS) from 0 to 100, based on percentage of estrogen receptor (ER), progesterone receptor (PR) and Ki67 tumor cells, was derived in a combined cohort of 5 studies (training dataset) and tested in a combined cohort of 3 studies. The performance of NOLUS was estimated using Area Under the ROC Curve (AUC). Results: In the training dataset (n = 903) and compared to luminal disease, non-luminal disease had lower percentage of ER-positive cells (median 65.2 vs. 86.2%, p < 0.01) and PR-positive cells (33.2 vs. 56.4%, p < 0.01) and higher percentage of Ki67-positive cells (18.2 vs. 13.1%, p = 0.01). A NOLUS formula was derived: -0.45*ER -0.28*PR +0.27*Ki67 + 73.02. The proportion of non-luminal tumors in NOLUS-positive (>= 51.38) and NOLUS-negative (<51.38) groups was 52.6 and 8.7%, respectively. In the testing dataset (n = 514), NOLUS was found significantly associated with non-luminal disease (p < 0.01) with an AUC 0.902. The proportion of non-luminal tumors in NOLUS-positive and NOLUS-negative groups was 76.9% (56.4-91.0%) and 2.6% (1.4-4.5%), respectively. The sensitivity and specificity of the pre-specified cutoff was 59.3 and 98.7%, respectively. Conclusions: In the absence of gene expression data, NOLUS can help identify non-luminal disease within HR+/HER2-negative breast cancer.
eu_rights_str_mv openAccess
format article
id ES_7ff286c4e0f2fa4f6b3317022669c220
institution INCLIVA
instname_str INCLIVA
network_acronym_str ES
network_name_str España
oai_identifier_str oai:incliva.fundanetsuite.com:p3642
publishDate 2019
publishDateSort 2019
publisher FRONTIERS MEDIA SA
publisherStr FRONTIERS MEDIA SA
reponame_str r-INCLIVA. Repositorio Institucional de Producción Científica de INCLIVA
spelling A Pathology-Based Combined Model to Identify PAM50 Non-luminal Intrinsic Disease in Hormone Receptor-Positive HER2-Negative Breast Cancer Pascual, T Martin, M Fernandez-Martinez, A Pare, L Alba, E Rodriguez-Lescure, A Perrone, G Cortes, J Morales, S Lluch, A Urruticoechea, A Gonzalez-Farre, B Galvan, P Jares, P Rodriguez, A Chic, N Righi, D Cejalvo, JM Tonini, G Adamo, B Vidal, M Villagrasa, P Munoz, M Prat, A intrinsic subtype non-luminal PAM50 breast cancer gene expression Background: In hormone receptor-positive (HR+)/HER2-negative breast cancer, the HER2-enriched and Basal-like intrinsic subtypes are associated with poor outcome, low response to anti-estrogen therapy and high response to chemotherapy. To date, no validated biomarker exists to identify both molecular entities other than gene expression. Methods: PAM50 subtyping and immunohistochemical data were obtained from 8 independent studies of 1,416 HR+/HER2-negative early breast tumors. A non-luminal disease score (NOLUS) from 0 to 100, based on percentage of estrogen receptor (ER), progesterone receptor (PR) and Ki67 tumor cells, was derived in a combined cohort of 5 studies (training dataset) and tested in a combined cohort of 3 studies. The performance of NOLUS was estimated using Area Under the ROC Curve (AUC). Results: In the training dataset (n = 903) and compared to luminal disease, non-luminal disease had lower percentage of ER-positive cells (median 65.2 vs. 86.2%, p < 0.01) and PR-positive cells (33.2 vs. 56.4%, p < 0.01) and higher percentage of Ki67-positive cells (18.2 vs. 13.1%, p = 0.01). A NOLUS formula was derived: -0.45*ER -0.28*PR +0.27*Ki67 + 73.02. The proportion of non-luminal tumors in NOLUS-positive (>= 51.38) and NOLUS-negative (<51.38) groups was 52.6 and 8.7%, respectively. In the testing dataset (n = 514), NOLUS was found significantly associated with non-luminal disease (p < 0.01) with an AUC 0.902. The proportion of non-luminal tumors in NOLUS-positive and NOLUS-negative groups was 76.9% (56.4-91.0%) and 2.6% (1.4-4.5%), respectively. The sensitivity and specificity of the pre-specified cutoff was 59.3 and 98.7%, respectively. Conclusions: In the absence of gene expression data, NOLUS can help identify non-luminal disease within HR+/HER2-negative breast cancer. FRONTIERS MEDIA SA https://incliva.portalinvestigacion.com/publicaciones/3642
spellingShingle A Pathology-Based Combined Model to Identify PAM50 Non-luminal Intrinsic Disease in Hormone Receptor-Positive HER2-Negative Breast Cancer
Pascual, T
intrinsic subtype
non-luminal
PAM50
breast cancer
gene expression
status_str publishedVersion
title A Pathology-Based Combined Model to Identify PAM50 Non-luminal Intrinsic Disease in Hormone Receptor-Positive HER2-Negative Breast Cancer
title_full A Pathology-Based Combined Model to Identify PAM50 Non-luminal Intrinsic Disease in Hormone Receptor-Positive HER2-Negative Breast Cancer
title_fullStr A Pathology-Based Combined Model to Identify PAM50 Non-luminal Intrinsic Disease in Hormone Receptor-Positive HER2-Negative Breast Cancer
title_full_unstemmed A Pathology-Based Combined Model to Identify PAM50 Non-luminal Intrinsic Disease in Hormone Receptor-Positive HER2-Negative Breast Cancer
title_short A Pathology-Based Combined Model to Identify PAM50 Non-luminal Intrinsic Disease in Hormone Receptor-Positive HER2-Negative Breast Cancer
title_sort A Pathology-Based Combined Model to Identify PAM50 Non-luminal Intrinsic Disease in Hormone Receptor-Positive HER2-Negative Breast Cancer
topic intrinsic subtype
non-luminal
PAM50
breast cancer
gene expression
topic_facet intrinsic subtype
non-luminal
PAM50
breast cancer
gene expression
url https://incliva.portalinvestigacion.com/publicaciones/3642