Literature DB >> 30885980

PDLIM2 Is a Marker of Adhesion and β-Catenin Activity in Triple-Negative Breast Cancer.

Orla T Cox1, Shelley J Edmunds1, Katja Simon-Keller2, Bo Li3, Bruce Moran3, Niamh E Buckley4, Milan Bustamante-Garrido1, Nollaig Healy1, Ciara H O'Flanagan1, William M Gallagher3, Richard D Kennedy5, René Bernards6, Carlos Caldas7, Suet-Feung Chin7, Alexander Marx2, Rosemary O'Connor8.   

Abstract

The PDLIM2 protein regulates stability of transcription factors including NF-κB and STATs in epithelial and hemopoietic cells. PDLIM2 is strongly expressed in certain cancer cell lines that exhibit an epithelial-to-mesenchymal phenotype, and its suppression is sufficient to reverse this phenotype. PDLIM2 supports the epithelial polarity of nontransformed breast cells, suggesting distinct roles in tumor suppression and oncogenesis. To better understand its overall function, we investigated PDLIM2 expression and activity in breast cancer. PDLIM2 protein was present in 60% of tumors diagnosed as triple-negative breast cancer (TNBC), and only 20% of other breast cancer subtypes. High PDLIM2 expression in TNBC was positively correlated with adhesion signaling and β-catenin activity. Interestingly, PDLIM2 was restricted to the cytoplasm/membrane of TNBC cells and excluded from the nucleus. In breast cell lines, PDLIM2 retention in the cytoplasm was controlled by cell adhesion, and translocation to the nucleus was stimulated by insulin-like growth factor-1 or TGFβ. Cytoplasmic PDLIM2 was associated with active β-catenin and ectopic expression of PDLIM2 was sufficient to increase β-catenin levels and its transcriptional activity in reporter assays. Suppression of PDLIM2 inhibited tumor growth in vivo, whereas overexpression of PDLIM2 disrupted growth in 3D cultures. These results suggest that PDLIM2 may serve as a predictive biomarker for a large subset of TNBC whose phenotype depends on adhesion-regulated β-catenin activity and which may be amenable to therapies that target these pathways. SIGNIFICANCE: This study shows that PDLIM2 expression defines a subset of triple-negative breast cancer that may benefit from targeting the β-catenin and adhesion signaling pathways. GRAPHICAL ABSTRACT: http://cancerres.aacrjournals.org/content/canres/79/10/2619/F1.large.jpg. ©2019 American Association for Cancer Research.

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Year:  2019        PMID: 30885980     DOI: 10.1158/0008-5472.CAN-18-2787

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  6 in total

1.  High Expression of PDLIM2 Predicts a Poor Prognosis in Prostate Cancer and Is Correlated with Epithelial-Mesenchymal Transition and Immune Cell Infiltration.

Authors:  Songzhe Piao; Lan Zheng; Haihong Zheng; Mengya Zhou; Qin Feng; Suna Zhou; Mang Ke; Haihua Yang; Xuequan Wang
Journal:  J Immunol Res       Date:  2022-06-06       Impact factor: 4.493

2.  The underlying molecular mechanism and identification of transcription factor markers for laryngeal squamous cell carcinoma.

Authors:  Bin-Yu Mo; Guo-Sheng Li; Su-Ning Huang; Wei-Ying He; Li-Yuan Xie; Zhu-Xin Wei; Ya-Si Su; Yue Liang; Li Yang; Cheng Ye; Wen-Bin Dai; Lin Ruan
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

Review 3.  Integrative proteogenomic characterization of hepatocellular carcinoma across etiologies and stages.

Authors:  Eva Dazert; Tuyana Boldanova; Charlotte K Y Ng; Mairene Coto-Llerena; Sandro Nuciforo; Caner Ercan; Aleksei Suslov; Marie-Anne Meier; Thomas Bock; Alexander Schmidt; Sylvia Ketterer; Xueya Wang; Stefan Wieland; Matthias S Matter; Marco Colombi; Salvatore Piscuoglio; Luigi M Terracciano; Michael N Hall; Markus H Heim
Journal:  Nat Commun       Date:  2022-05-04       Impact factor: 17.694

4.  A Novel Role for Cathepsin S as a Potential Biomarker in Triple Negative Breast Cancer.

Authors:  Richard D A Wilkinson; Roberta E Burden; Sara H McDowell; Darragh G McArt; Stephen McQuaid; Victoria Bingham; Rich Williams; Órla T Cox; Rosemary O'Connor; Nuala McCabe; Richard D Kennedy; Niamh E Buckley; Christopher J Scott
Journal:  J Oncol       Date:  2019-06-27       Impact factor: 4.375

5.  Genes That Predict Poor Prognosis in Breast Cancer via Bioinformatical Analysis.

Authors:  Qian Zhou; Xiaofeng Liu; Mingming Lv; Erhu Sun; Xun Lu; Cheng Lu
Journal:  Biomed Res Int       Date:  2021-04-17       Impact factor: 3.411

6.  Systematic evaluation of the prognostic and immunological role of PDLIM2 across 33 cancer types.

Authors:  Yudan Zeng; Dongtao Lin; Mengqian Gao; Guoxia Du; Yongming Cai
Journal:  Sci Rep       Date:  2022-02-04       Impact factor: 4.379

  6 in total

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