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

Other authors

Institut Català de la Salut

[Pascual T, Paré L] Medical Oncology Department, Hospital Clinic de Barcelona, Barcelona, Spain. SOLTI Breast Cancer Research Group, Barcelona, Spain. [Martin M] Medical Oncology Department, Hospital Gregorio Marañón, Universidad Complutense, Madrid, Spain. GEICAM (Spanish Breast Cancer Group), Madrid, Spain. Centro de Investigación Biomédica en Red de Oncología, CIBERONC-ISCIII, Madrid, Spain. [Fernández-Martínez A] Department of Genetics, University of North Carolina, Chapel Hill, NC, United States. [Alba E] GEICAM (Spanish Breast Cancer Group), Madrid, Spain. Centro de Investigación Biomédica en Red de Oncología, CIBERONC-ISCIII, Madrid, Spain. Medical Oncology Department, Hospital Universitario Virgen de la Victoria, IBIMA, Málaga, Spain. [Rodríguez-Lescure Á] GEICAM (Spanish Breast Cancer Group), Madrid, Spain. Medical Oncology Department, Hospital Universitario de Elche, Elche, Spain. [Cortés J] IOB Institute of Oncology, Quironsalud Group, Madrid, Spain. Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain

Vall d'Hebron Barcelona Hospital Campus

Publication date

2021-03-19T13:03:34Z

2021-03-19T13:03:34Z

2019-04-26



Abstract

No luminal; Subtipus intrínsec; Càncer de mama


No luminal; Subtipo intrínseco; Cáncer de mama


Non-luminal; Intrinsic subtype, 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 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.


This work was supported by Instituto de Salud Carlos III - PI16/00904 (to AP), Banco Bilbao Vizcaya Argentaria Foundation (to AP), Pas a Pas (to AP), Save the Mama (to AP), Breast Cancer Research Foundation (to AP), Fundación Mutua Madrileña- Investigación en Salud 2018 (to AP), SEOM Translational Research Grant (to AF-M.), Banca d'Italia (to GP), and by T.C.I. telecomunicazioni (to GP).

Document Type

Article

Language

English

Publisher

Frontiers Media

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Frontiers in Oncology;9(303)

https://www.frontiersin.org/articles/10.3389/fonc.2019.00303/full

info:eu-repo/grantAgreement/ES/PE2013-2016/PI16%2F00904

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Attribution 4.0 International

http://creativecommons.org/licenses/by/4.0/

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