Literature DB >> 29630912

Transcriptome analyses reveal FOXA1 dysregulation in mammary and extramammary Paget's disease.

Ruiqin Mai1, Songxia Zhou2, Shuqin Zhou3, Weixiang Zhong4, Liangli Hong5, Yuanyuan Wang6, Shanming Lu7, Jikai Pan8, Yuansheng Huang9, Mingwan Su9, Richard Crawford9, Youwen Zhou9, Guohong Zhang10.   

Abstract

Paget's disease (PD) is an uncommon intraepithelial adenocarcinoma with unknown pathogenesis. There are two anatomic subtypes: mammary (MPD) and extramammary (EMPD). Little is known about their molecular characteristics. Our objective was to discover novel molecular markers for PD and its subtypes. In the discovery phase, we used transcriptome analyses to uncover the most differentially expressed genes and pathways in EMPD biopsies compared with normal skin. In the validation phase, we performed immunohistochemistry analyses on the most promising marker (FOXA1) and other markers selected from a literature review (GATA3, estrogen receptor [ER], and androgen receptor [AR]) on independent biopsies of MPD (n = 86), EMPD (n = 59), and normal skin (n = 21). Transcriptome analyses revealed 210 genes differentially expressed more than 10-fold between EMPD and normal skin. These genes are involved in mammary and sweat gland development (FOXA1) and immune regulation, as well as epidermal differentiation. Immunohistochemistry staining revealed that FOXA1 was positive in 88% of both MPD and EMPD, whereas GATA3 was positive in 67% of MPD and 77% of EMPD, and ER was positive in 9% of MPD and 19% of EMPD. Finally, AR was positive in 33% of PD and 54% of EMPD. Mammary Paget's disease and EMPD share dysregulation of the glandular developmental regulator gene FOXA1, suggesting similarity in cell-specific transcriptional regulation. Further, FOXA1 may be a useful molecular target for developing PD therapies.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AR; EMPD; ER; FOXA1; MPD; Paget's disease

Mesh:

Substances:

Year:  2018        PMID: 29630912     DOI: 10.1016/j.humpath.2017.12.030

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  6 in total

1.  Correlation analysis between androgen receptor and the clinicopathological features and prognosis of mammary Paget's disease.

Authors:  Yang Wu; Shanshan Sun; Yuanxi Huang; Min Xiao; Xuhai Zhao; Xiangshi Lu; Bingshu Xia; Kun Qiao; Shiyuan Zhang; Qiqi Wu; Jing Xiong; Shaoqiang Cheng; Yanni Song
Journal:  J Cancer Res Clin Oncol       Date:  2022-04-02       Impact factor: 4.553

Review 2.  p63 Is a Promising Marker in the Diagnosis of Unusual Skin Cancer.

Authors:  Artem Smirnov; Lucia Anemona; Flavia Novelli; Cristina M Piro; Margherita Annicchiarico-Petruzzelli; Gerry Melino; Eleonora Candi
Journal:  Int J Mol Sci       Date:  2019-11-17       Impact factor: 5.923

3.  Transcriptome sequencing reveals a lncRNA-mRNA interaction network in extramammary Paget's disease.

Authors:  Da-Chao Zheng; Yan-Ting Shen; Zi-Wei Wei; Xiang Wan; Min-Kai Xie; Hai-Jun Yao; Zhong Wang
Journal:  BMC Med Genomics       Date:  2021-12-11       Impact factor: 3.063

4.  FOXA1 in Breast Cancer: A Luminal Marker with Promising Prognostic and Predictive Impact.

Authors:  Jasna Metovic; Fulvio Borella; Marta D'Alonzo; Nicoletta Biglia; Luca Mangherini; Cristian Tampieri; Luca Bertero; Paola Cassoni; Isabella Castellano
Journal:  Cancers (Basel)       Date:  2022-09-27       Impact factor: 6.575

5.  Keratinocyte-Immune Cell Crosstalk in a STAT1-Mediated Pathway: Novel Insights Into Rosacea Pathogenesis.

Authors:  Zhili Deng; Fangfen Liu; Mengting Chen; Chuchu Huang; Wenqin Xiao; Sini Gao; Dan Jian; Yuyan Ouyang; San Xu; Jinmao Li; Qian Shi; Hongfu Xie; Guohong Zhang; Ji Li
Journal:  Front Immunol       Date:  2021-07-05       Impact factor: 7.561

6.  Frequent FOXA1-Activating Mutations in Extramammary Paget's Disease.

Authors:  Takuya Takeichi; Yusuke Okuno; Takaaki Matsumoto; Nobuyuki Tsunoda; Kyogo Suzuki; Kana Tanahashi; Michihiro Kono; Toyone Kikumori; Yoshinao Muro; Masashi Akiyama
Journal:  Cancers (Basel)       Date:  2020-03-29       Impact factor: 6.639

  6 in total

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