Literature DB >> 24596370

Overexpression of androgen receptor and forkhead-box A1 protein in apocrine breast carcinoma.

Manami Sasahara1, Akira Matsui, Yoshiko Ichimura, Yuuko Hirakata, Yuuya Murata, Eiji Marui.   

Abstract

AIM: Apocrine breast carcinoma often lacks estrogen receptor (ER), progesterone receptor (PgR), and human epidermal growth factor receptor type-2 (HER2) expression. Accordingly, development of a new treatment strategy is important for this type of cancer. The growth stimulus through the androgen receptor (AR) can be a candidate for targeted treatment. Therefore, we examined the factors related to AR transcription.
MATERIALS AND METHODS: We immunohistochemically evaluated 54 apocrine cancer lesions for ER, PgR, AR, HER2, Ki-67, forkhead-box protein A1 (FOXA1), and prostate-specific antigen (PSA) expression.
RESULTS: ER, PgR, and HER2 were expressed at a low level, thus 44 out of 54 (81.4%) cases were of triple-negative breast cancer. AR, PSA and FOXA1 were expressed in 100% (54/54), 48% (26/54) and 93% (50/54) of cases, respectively.
CONCLUSION: Most of apocrine breast carcinomas were immunohistochemically-positive for AR and FOXA1. Anti-androgenic therapies can potentially serve as a cancer-targeting therapy for apocrine breast carcinoma.

Entities:  

Keywords:  AR; Apocrine breast carcinoma; FOXA1; PSA

Mesh:

Substances:

Year:  2014        PMID: 24596370

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  8 in total

Review 1.  Molecular Classification and Future Therapeutic Challenges of Triple-negative Breast Cancer.

Authors:  Nikolaos Garmpis; Christos Damaskos; Anna Garmpi; Konstantinos Nikolettos; Dimitrios Dimitroulis; Evangelos Diamantis; Paraskevi Farmaki; Alexandros Patsouras; Errika Voutyritsa; Athanasios Syllaios; Constantinos G Zografos; Efstathios A Antoniou; Nikos Nikolettos; Alkiviadis Kostakis; Konstantinos Kontzoglou; Dimitrios Schizas; Afroditi Nonni
Journal:  In Vivo       Date:  2020 Jul-Aug       Impact factor: 2.155

2.  Immunohistochemical Analysis of the Expression of Breast Markers in Basal-like Breast Carcinomas Defined as Triple Negative Cancers Expressing Keratin 5.

Authors:  Tamás Zombori; Gábor Cserni
Journal:  Pathol Oncol Res       Date:  2017-05-03       Impact factor: 3.201

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

Authors:  Y Horimoto; A Arakawa; N Harada-Shoji; H Sonoue; Y Yoshida; T Himuro; F Igari; E Tokuda; O Mamat; M Tanabe; O Hino; M Saito
Journal:  Br J Cancer       Date:  2014-11-25       Impact factor: 7.640

4.  FABP7 and HMGCS2 are novel protein markers for apocrine differentiation categorizing apocrine carcinoma of the breast.

Authors:  Pavel Gromov; Jaime A Espinoza; Maj-Lis Talman; Naoko Honma; Niels Kroman; Vera Timmermans Wielenga; José M A Moreira; Irina Gromova
Journal:  PLoS One       Date:  2014-11-12       Impact factor: 3.240

5.  Clinical predictors of pathological complete response to neoadjuvant chemotherapy in triple-negative breast cancer.

Authors:  Ayako Nakashoji; Akira Matsui; Aiko Nagayama; Yuko Iwata; Manami Sasahara; Yuya Murata
Journal:  Oncol Lett       Date:  2017-08-01       Impact factor: 2.967

6.  Avoidance and Period-Shortening of Neoadjuvant Chemotherapy Against Triple-Negative Breast Cancer in Stages I and II: Importance of Ki-67 Labeling Index and the Recognition of Apocrine-Type Lesions.

Authors:  Koichi Kubouchi; Kyosuke Shimada; Takamichi Yokoe; Yutaka Tsutsumi
Journal:  Technol Cancer Res Treat       Date:  2020 Jan-Dec

7.  Androgen Receptor mRNA levels determine the prognosis in triple-negative breast cancer patients.

Authors:  Sindhu Govindan; Mallikarjuna Siraganahalli Eswaraiah; Chetana Basavaraj; Manjula Adinarayan; Satish Sankaran; Manjiri Bakre
Journal:  BMC Cancer       Date:  2020-08-10       Impact factor: 4.430

8.  Androgen receptor and FOXA1 coexpression define a "luminal-AR" subtype of feline mammary carcinomas, spontaneous models of breast cancer.

Authors:  Elie Dagher; Violette Royer; Paul Buchet; Jérôme Abadie; Delphine Loussouarn; Mario Campone; Frédérique Nguyen
Journal:  BMC Cancer       Date:  2019-12-30       Impact factor: 4.430

  8 in total

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