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DOI: 10.1038/bjc.2014.595
¤ OpenAccess: Hybrid
This work has “Hybrid” OA status. This means it is free under an open license in a toll-access journal.

Low FOXA1 expression predicts good response to neo-adjuvant chemotherapy resulting in good outcomes for luminal HER2-negative breast cancer cases

Yoshiya Horimoto,Atsushi Arakawa,Narumi Harada‐Shoji,Hiroshi Sonoue,Yuko Yoshida,Takanori Himuro,Fumie Igari,Emi Tokuda,Osman Mamat,Masahiko Tanabe,Okio Hino,Mitsue Saito

FOXA1
Breast cancer
Immunohistochemistry
2014
FOXA1 expression is a good prognostic marker for endocrine therapy in hormone-positive breast cancer. We retrospectively examined breast cancer patients with luminal human epidermal growth factor receptor 2 (HER2)-negative tumours, as defined by immunohistochemistry, who received neo-adjuvant chemotherapy (NAC) and investigated the relationship between treatment effects and FOXA1 expression. Biopsy specimens from 103 luminal HER2-negative tumours were immunohistochemically examined. FOXA1 effects on chemo-sensitivity were also investigated employing in vitro experiments. FOXA1 and Ki67 expressions independently predicted a pathological complete response (pCR). Knockdown of FOXA1 by siRNA boosted the chemo-effect in oestrogen receptor-positive cells. The Cox hazards model revealed a pCR to be the strongest factor predicting a good patient outcome. Our present study showed low FOXA1 expression to be associated with a good response to NAC in luminal HER2-negative breast cancer. Improved outcomes of these patients suggest that NAC should be recommended to patients with low FOXA1 tumours.
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    Low FOXA1 expression predicts good response to neo-adjuvant chemotherapy resulting in good outcomes for luminal HER2-negative breast cancer cases” is a paper by Yoshiya Horimoto Atsushi Arakawa Narumi Harada‐Shoji Hiroshi Sonoue Yuko Yoshida Takanori Himuro Fumie Igari Emi Tokuda Osman Mamat Masahiko Tanabe Okio Hino Mitsue Saito published in 2014. It has an Open Access status of “hybrid”. You can read and download a PDF Full Text of this paper here.