Anastrozole and RU486: Effects on estrogen receptor α and Mucin 1 expression and correlation in the MCF-7 breast cancer cell line

2013 ◽  
Vol 115 (8) ◽  
pp. 851-857 ◽  
Author(s):  
Jacqueline F. Gil ◽  
Tanya N. Augustine ◽  
Margot J. Hosie
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Stefania Nobili ◽  
Antonella Mannini ◽  
Astrid Parenti ◽  
Chiara Raggi ◽  
Andrea Lapucci ◽  
...  

AbstractInvasive ductal carcinoma (IDC) constitutes the most frequent malignant cancer endangering women’s health. In this study, a new spontaneously immortalized breast cancer cell line, DHSF-BR16 cells, was isolated from the primary IDC of a 74-years old female patient, treated with neoadjuvant chemotherapy and disease-free 5-years after adjuvant chemotherapy. Primary breast cancer tissue surgically removed was classified as ER−/PR−/HER2+, and the same phenotype was maintained by DHSF-BR16 cells. We examined DHSF-BR16 cell morphology and relevant biological and molecular markers, as well as their response to anticancer drugs commonly used for breast cancer treatment. MCF-7 cells were used for comparison purposes. The DHSF-BR16 cells showed the ability to form spheroids and migrate. Furthermore, DHSF-BR16 cells showed a mixed stemness phenotype (i.e. CD44+/CD24−/low), high levels of cytokeratin 7, moderate levels of cytokeratin 8 and 18, EpCAM and E-Cadh. Transcriptome analysis showed 2071 differentially expressed genes between DHSF-BR16 and MCF-7 cells (logFC > 2, p-adj < 0.01). Several genes were highly upregulated or downregulated in the new cell line (log2 scale fold change magnitude within − 9.6 to + 12.13). A spontaneous immortalization signature, mainly represented by extracellular exosomes-, plasma membrane- and endoplasmic reticulum membrane pathways (GO database) as well as by metabolic pathways (KEGG database) was observed in DHSF-BR16 cells. Also, these cells were more resistant to anthracyclines compared with MCF-7 cells. Overall, DHSF-BR16 cell line represents a relevant model useful to investigate cancer biology, to identify both novel prognostic and drug response predictive biomarkers as well as to assess new therapeutic strategies.


Oncogene ◽  
2003 ◽  
Vol 22 (32) ◽  
pp. 5011-5020 ◽  
Author(s):  
Yoko Omoto ◽  
Hidetaka Eguchi ◽  
Yuri Yamamoto-Yamaguchi ◽  
Shin-ichi Hayashi

Sign in / Sign up

Export Citation Format

Share Document