BACKGROUND/AIM: Epithelial-mesenchymal transition (EMT) is a process co-opted by cancer cells to invade and form metastases. In the present study we analyzed gene expression profiles of primary breast cancer cells in culture in order to highlight genes related to EMT. MATERIALS AND METHODS: Microarray expression analysis of primary cells isolated from a specimen of a patient with an infiltrating ductal carcinoma of the breast was performed. Real-Time Quantitative Reverse Transcription PCR (qRT-PCR) analyses validated microarray gene expression trends. RESULTS: Thirty-six candidate genes were selected and used to generate a molecular network displaying the tight relationship among them. The most significant Gene Ontology biological processes characterizing this network were involved in cell migration and motility. CONCLUSION: Our data revealed the involvement of new genes which displayed tight relationships among them, suggesting a molecular network in which they could contribute to control of EMT in breast cancer. This study may offer a basis for understanding complex mechanisms which regulate breast cancer progression and for designing individualized anticancer therapies.
BACKGROUND/AIM: Epithelial-mesenchymal transition (EMT) is a process co-opted by cancer cells to invade and form metastases. In the present study we analyzed gene expression profiles of primary breast cancer cells in culture in order to highlight genes related to EMT. MATERIALS AND METHODS: Microarray expression analysis of primary cells isolated from a specimen of a patient with an infiltrating ductal carcinoma of the breast was performed. Real-Time Quantitative Reverse Transcription PCR (qRT-PCR) analyses validated microarray gene expression trends. RESULTS: Thirty-six candidate genes were selected and used to generate a molecular network displaying the tight relationship among them. The most significant Gene Ontology biological processes characterizing this network were involved in cell migration and motility. CONCLUSION: Our data revealed the involvement of new genes which displayed tight relationships among them, suggesting a molecular network in which they could contribute to control of EMT in breast cancer. This study may offer a basis for understanding complex mechanisms which regulate breast cancer progression and for designing individualized anticancer therapies.
Authors: Joseph Cursons; Karl-Johan Leuchowius; Mark Waltham; Eva Tomaskovic-Crook; Momeneh Foroutan; Cameron P Bracken; Andrew Redfern; Edmund J Crampin; Ian Street; Melissa J Davis; Erik W Thompson Journal: Cell Commun Signal Date: 2015-05-15 Impact factor: 5.712
Authors: Deli Hong; Terri L Messier; Coralee E Tye; Jason R Dobson; Andrew J Fritz; Kenneth R Sikora; Gillian Browne; Janet L Stein; Jane B Lian; Gary S Stein Journal: Oncotarget Date: 2017-03-14
Authors: Matthias Hufnagel; Ronja Neuberger; Johanna Wall; Martin Link; Alexandra Friesen; Andrea Hartwig Journal: Int J Mol Sci Date: 2021-05-10 Impact factor: 5.923
Authors: Valentina Bravatà; Claudia Cava; Luigi Minafra; Francesco Paolo Cammarata; Giorgio Russo; Maria Carla Gilardi; Isabella Castiglioni; Giusi Irma Forte Journal: Int J Mol Sci Date: 2018-04-04 Impact factor: 5.923