NOLUS: a predictive model to identify Basal-like and HER2-enriched intrinsic subtypes based on estrogen receptor (ER), progesterone receptor (PR) and Ki67 immunohistochemistry (IHC) in hormone receptor-positive/HER2-negative (HR+/HER2–) breast cancer (BC)

Pascual, T.; Martin, Michelle D.; Paré, Laia; Alba, E.; Rodriguez-Lescure, A.; Perrone, Giuseppe; Cortés, Javier; Morales, Serafín; Lluch, Aña; Urruticoechea, Ander; Galván, P; Rodríguez, A.; Chic, Núria; Righi, Daniela; Cejalvo, J.M.; Tonini, Giulia; Adamo, Bárbara; Vidal, M.; Muñoz, Mar; Prat, Aleix

doi:10.1016/s0959-8049(18)30638-5

European Journal of Cancer

2018

DOI: 10.1016/s0959-8049(18)30638-5

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NOLUS: a predictive model to identify Basal-like and HER2-enriched intrinsic subtypes based on estrogen receptor (ER), progesterone receptor (PR) and Ki67 immunohistochemistry (IHC) in hormone receptor-positive/HER2-negative (HR+/HER2–) breast cancer (BC)

T. Pascual¹,

Michelle D. Martin²,

Laia Paré³

et al.

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NOLUS: a predictive model to identify Basal-like and HER2-enriched intrinsic subtypes based on estrogen receptor (ER), progesterone receptor (PR) and Ki67 immunohistochemistry (IHC) in hormone receptor-positive/HER2-negative (HR+/HER2–) breast cancer (BC)

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