Literature DB >> 33796830

An In Silico Analysis Identified FZD9 as a Potential Prognostic Biomarker in Triple-Negative Breast Cancer Patients.

Daniel Rodrigues de Bastos1, Mércia Patrícia Ferreira Conceição1, Ana Paula Picaro Michelli2, Jean Michel Rocha Sampaio Leite3, Rafael André da Silva4, Ricardo Cesar Cintra5, Jeniffer Johana Duarte Sanchez6, Cesar Augusto Sam Tiago Vilanova-Costa7, Antonio Márcio Teodoro Cordeiro Silva8.   

Abstract

OBJECTIVE: Breast cancer (BC) is the main cause of cancer-related deaths in women across the world. It can be classified into different subtypes, including triple-negative (TN), which is characterized by the absence of hormone receptors for estrogen and progesterone and the lack of the human epidermal growth factor receptor 2. These tumors have high heterogeneity, acquire therapeutic resistance, and have no established target-driven treatment yet. The identification of differentially expressed genes in TN breast tumors and the in silico validation of their prognostic role in these tumors.
MATERIALS AND METHODS: We employed a microarray dataset and, by using the GEO2R tool, we identified a list of differentially expressed genes. The in silico validation was conducted using several online platforms including the KM Plotter, cBioPortal, bc-GenExMiner, Prognoscan, and Roc Plotter.
RESULTS: We observed that FZD9 was among the top differentially expressed genes in a cohort of patients with different TNBC subtypes. The FZD9 expression was significantly different in TN breast tumors than in non-TN (nTN) breast tumors (p<0.0001), and the basal TN subtype showed the highest levels (p<0.0001). In addition, the FZD9 levels were significantly inversely and positively proportional (p<0.0001) to estrogen receptor, progesterone receptor, and human epidermal growth factor receptor-2 clinical parameters. The high levels of FZD9 were associated with worse overall survival (p=0.007), relapse-free survival (p=5.8e-05), and worse survival in patients who received chemotherapy (p=3.2e-05; 0.007).
CONCLUSION: Our cumulative results demonstrated that FZD9 plays an important role in TNBC and may be a potential prognostic biomarker. Nevertheless, further in vitro and in vivo assays are necessary to confirm our findings and to strengthen the evidences about the mechanisms by which FZD9 functions in these tumors. ©Copyright 2021 by Turkish Federation of Breast Diseases Associations.

Entities:  

Keywords:  FZD9; biomarkers; breast cancer; in silico analysis; triple-negative breast cancer

Year:  2020        PMID: 33796830      PMCID: PMC8006790          DOI: 10.4274/ejbh.2020.5804

Source DB:  PubMed          Journal:  Eur J Breast Health


  35 in total

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Authors:  Yann Duchartre; Yong-Mi Kim; Michael Kahn
Journal:  Crit Rev Oncol Hematol       Date:  2015-12-24       Impact factor: 6.312

2.  Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications.

Authors:  T Sørlie; C M Perou; R Tibshirani; T Aas; S Geisler; H Johnsen; T Hastie; M B Eisen; M van de Rijn; S S Jeffrey; T Thorsen; H Quist; J C Matese; P O Brown; D Botstein; P E Lønning; A L Børresen-Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-11       Impact factor: 11.205

3.  FZD7 has a critical role in cell proliferation in triple negative breast cancer.

Authors:  L Yang; X Wu; Y Wang; K Zhang; J Wu; Y-C Yuan; X Deng; L Chen; C C H Kim; S Lau; G Somlo; Y Yen
Journal:  Oncogene       Date:  2011-05-02       Impact factor: 9.867

4.  Comparison of basal-like triple-negative breast cancer defined by morphology, immunohistochemistry and transcriptional profiles.

Authors:  Patrycja Gazinska; Anita Grigoriadis; John P Brown; Rosemary R Millis; Anca Mera; Cheryl E Gillett; Lars H Holmberg; Andrew N Tutt; Sarah E Pinder
Journal:  Mod Pathol       Date:  2013-02-08       Impact factor: 7.842

5.  Redundant expression of canonical Wnt ligands in human breast cancer cell lines.

Authors:  Khemais Benhaj; Kamil Can Akcali; Mehmet Ozturk
Journal:  Oncol Rep       Date:  2006-03       Impact factor: 3.906

6.  SiRNA of frizzled-9 suppresses proliferation and motility of hepatoma cells.

Authors:  Tatsuya Fujimoto; Minoru Tomizawa; Osamu Yokosuka
Journal:  Int J Oncol       Date:  2009-10       Impact factor: 5.650

7.  Involvement of c-Fos in cell proliferation, migration, and invasion in osteosarcoma cells accompanied by altered expression of Wnt2 and Fzd9.

Authors:  Qiaozhen Wang; Huancai Liu; Qing Wang; Fenghua Zhou; Yongxin Liu; Yawen Zhang; Haoyu Ding; Meng Yuan; Fengjie Li; Yanchun Chen
Journal:  PLoS One       Date:  2017-06-30       Impact factor: 3.240

Review 8.  Frizzled Receptors as Potential Therapeutic Targets in Human Cancers.

Authors:  Chui-Mian Zeng; Zhe Chen; Li Fu
Journal:  Int J Mol Sci       Date:  2018-05-22       Impact factor: 5.923

9.  Loss of p53 triggers WNT-dependent systemic inflammation to drive breast cancer metastasis.

Authors:  Max D Wellenstein; Seth B Coffelt; Danique E M Duits; Martine H van Miltenburg; Maarten Slagter; Iris de Rink; Linda Henneman; Sjors M Kas; Stefan Prekovic; Cheei-Sing Hau; Kim Vrijland; Anne Paulien Drenth; Renske de Korte-Grimmerink; Eva Schut; Ingrid van der Heijden; Wilbert Zwart; Lodewyk F A Wessels; Ton N Schumacher; Jos Jonkers; Karin E de Visser
Journal:  Nature       Date:  2019-07-31       Impact factor: 49.962

10.  bc-GenExMiner 3.0: new mining module computes breast cancer gene expression correlation analyses.

Authors:  Pascal Jézéquel; Jean-Sébastien Frénel; Loïc Campion; Catherine Guérin-Charbonnel; Wilfried Gouraud; Gabriel Ricolleau; Mario Campone
Journal:  Database (Oxford)       Date:  2013-01-15       Impact factor: 3.451

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