Literature DB >> 21737670

Expression of p53, Ki-67, E-cadherin, N-cadherin and TOP2A in triple-negative breast cancer.

Misako Nakagawa1, Yoshimi Bando, Taeko Nagao, Masami Morimoto, Chikako Takai, Takamasa Ohnishi, Junko Honda, Takuya Moriya, Keisuke Izumi, Masako Takahashi, Mitsunori Sasa, Akira Tangoku.   

Abstract

BACKGROUND: Elucidation of the biological features of triple negative breast cancer (TNBC) is important for deciding treatment strategies. The expression of a number of biomarkers in TNBC was analyzed to elucidate those features. PATIENTS AND METHODS: The subjects were 134 TNBC patients. Immunohistochemical staining was employed to analyze for eight biomarkers: cytokeratin 5/6 (CK5/6), epidermal growth factor receptor (EGFR), p53, Ki-67 antigen (Ki-67), E-cadherin, N-cadherin, topoisomerase 2 alpha (TOP2A) and B-cell lymphoma 2 (BCL-2), which were then correlated with the nuclear grade (NG), tumor diameter, and the presence/absence of lymph node metastasis, distant recurrence and lymphatic infiltration.
RESULTS: Significantly more high than low NG TNBC exhibited positive p53, Ki-67, E-cadherin and TOP2A. High N-cadherin and TOP2A expression was shown significantly in TNBC with lymphatic infiltration, and N-cadherin was also significantly positively expressed in node metastasis-positive cases. EGFR and CK5/6 were positively expressed in high NG TNBC, but not significantly.
CONCLUSION: Analysis for expression of p53, Ki-67, E-cadherin, N-cadherin and TOP2A is meaningful for deciding treatment strategies for TNBC.

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Year:  2011        PMID: 21737670

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


  14 in total

1.  Expression of E cadherin and Ki 67: Emerging Prognostic Markers in Triple-Negative Breast Cancer.

Authors:  Jayaprakash Shetty; Chandrika Rao
Journal:  Indian J Surg Oncol       Date:  2019-02-07

2.  Re-Evaluating E-Cadherin and β-Catenin: A Pan-Cancer Proteomic Approach with an Emphasis on Breast Cancer.

Authors:  Nicholas Borcherding; Kimberly Cole; Paige Kluz; Michael Jorgensen; Ryan Kolb; Andrew Bellizzi; Weizhou Zhang
Journal:  Am J Pathol       Date:  2018-06-04       Impact factor: 4.307

3.  UFH-001 cells: A novel triple negative, CAIX-positive, human breast cancer model system.

Authors:  Zhijuan Chen; Lingbao Ai; Mam Y Mboge; Robert McKenna; Christopher J Frost; Coy D Heldermon; Susan C Frost
Journal:  Cancer Biol Ther       Date:  2018-04-13       Impact factor: 4.742

4.  Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance.

Authors:  Heba Alkhatib; Ariel M Rubinstein; Amichay Meirovitz; Nataly Kravchenko-Balasha; Swetha Vasudevan; Efrat Flashner-Abramson; Shira Stefansky; Sangita Roy Chowdhury; Solomon Oguche; Tamar Peretz-Yablonsky; Avital Granit; Zvi Granot; Ittai Ben-Porath; Kim Sheva; Jon Feldman; Noa E Cohen
Journal:  Genome Med       Date:  2022-10-20       Impact factor: 15.266

5.  Outcome of triple-negative breast cancer in patients with or without markers regulating cell cycle and cell death.

Authors:  Dong Won Ryu; Chung Han Lee
Journal:  J Korean Surg Soc       Date:  2012-09-25

6.  Strong correlation between N-cadherin and CD133 in breast cancer: role of both markers in metastatic events.

Authors:  Carolin Bock; Christina Kuhn; Nina Ditsch; Regina Krebold; Sabine Heublein; Doris Mayr; Sophie Doisneau-Sixou; Udo Jeschke
Journal:  J Cancer Res Clin Oncol       Date:  2014-06-25       Impact factor: 4.553

7.  Systemic analysis of the expression levels and prognosis of breast cancer-related cadherins.

Authors:  Mingfei Xu; Chaoyue Liu; Lulan Pu; Jinrong Lai; Jingjia Li; Qianwen Ning; Xin Liu; Shishan Deng
Journal:  Exp Biol Med (Maywood)       Date:  2021-04-25

8.  Cadherins Associate with Distinct Stem Cell-Related Transcription Factors to Coordinate the Maintenance of Stemness in Triple-Negative Breast Cancer.

Authors:  Chuanwei Yang; Xuemei Zhao; Naipeng Cui; Yulong Liang
Journal:  Stem Cells Int       Date:  2017-03-14       Impact factor: 5.443

9.  Genome-wide effects of MELK-inhibitor in triple-negative breast cancer cells indicate context-dependent response with p53 as a key determinant.

Authors:  Marisa Simon; Fahmi Mesmar; Luisa Helguero; Cecilia Williams
Journal:  PLoS One       Date:  2017-02-24       Impact factor: 3.240

Review 10.  Biology of the Triple-Negative Breast Cancer: Immunohistochemical, RNA, and DNA Features.

Authors:  Mercedes Herrera Juarez; Pablo Tolosa Ortega; Ana Sanchez de Torre; Eva Ciruelos Gil
Journal:  Breast Care (Basel)       Date:  2020-06-05       Impact factor: 2.860

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