Estrogen suppresses breast cancer proliferation through GPER / p38 MAPK axis during hypoxia

2015 ◽  
Vol 417 ◽  
pp. 200-210 ◽  
Author(s):  
S. Sathya ◽  
S. Sudhagar ◽  
B.S. Lakshmi
2022 ◽  
Vol 13 (1) ◽  
Author(s):  
Fengjie Liu ◽  
Meng Lan ◽  
Baoqi Ren ◽  
Lihong Li ◽  
Tengteng Zou ◽  
...  

Abstract Background Breast cancer is the most frequently occurring cancer among women. Baicalin has been shown to inhibit breast cancer proliferation, but poor aqueous solubility and unknown mechanism of action limit its application. This study aimed to investigate the antiproliferative effects of baicalin-loaded folic acid-modified albumin nanoparticles (FA-BSANPs/BA) in breast cancer MCF-7 cells and its relationship with autophagy and ROS-mediated p38 MAPK and Akt/mTOR signaling pathways. Cell viability was detected by MTT assay. Flow cytometry and fluorescence microscopy were used to detect cell cycle, apoptosis and autophagy. Western blot was used to detect protein expression. Results Compared with the control and free baicalin groups, FA-BSANPs/BA inhibited viability of MCF-7 cells and increased cells in S phase, apoptotic bodies, pro-apoptotic proteins, autophagy markers and autophagosomes. These effects could be reversed when combined with the autophagy inhibitor 3-methyladenine. FA-BSANPs/BA increased the levels of phosphorylated p38 MAPK, inhibited the levels of phosphorylated Akt and mTOR, and increased the level of ROS in MCF-7 cells. The effects of FA-BSANPs/BA could be reversed or enhanced using inhibitors of Akt, mTOR, p38 MAPK and ROS scavengers. Conclusions Encapsulation in folate albumin nanoparticles improved the antiproliferative activity of baicalin. FA-BSANPs/BA induced autophagy and apoptosis via ROS-mediated p38 MAPK and Akt/mTOR signaling pathways in human breast cancer cells.


Genomics ◽  
2021 ◽  
Author(s):  
Shiliang Dong ◽  
Minrui Ma ◽  
Ming Li ◽  
Yuexin Guo ◽  
Xiaoxiao Zuo ◽  
...  

2014 ◽  
Vol 46 (1) ◽  
pp. 215-222 ◽  
Author(s):  
XUHONG ZHU ◽  
QIN LI ◽  
SHUANG LI ◽  
BOTE CHEN ◽  
HAIDONG ZOU

PLoS ONE ◽  
2013 ◽  
Vol 8 (10) ◽  
pp. e75356 ◽  
Author(s):  
Chern Chiuh Woo ◽  
Annie Hsu ◽  
Alan Prem Kumar ◽  
Gautam Sethi ◽  
Kwong Huat Benny Tan

2021 ◽  
pp. 1-11
Author(s):  
Brian S. Finkelman ◽  
Amanda Meindl ◽  
Carissa LaBoy ◽  
Brannan Griffin ◽  
Suguna Narayan ◽  
...  

BACKGROUND: Ki-67 immunohistochemistry (IHC) staining is a widely used cancer proliferation assay; however, its limitations could be improved with automated scoring. The OncotypeDXTM Recurrence Score (ORS), which primarily evaluates cancer proliferation genes, is a prognostic indicator for breast cancer chemotherapy response; however, it is more expensive and slower than Ki-67. OBJECTIVE: To compare manual Ki-67 (mKi-67) with automated Ki-67 (aKi-67) algorithm results based on manually selected Ki-67 “hot spots” in breast cancer, and correlate both with ORS. METHODS: 105 invasive breast carcinoma cases from 100 patients at our institution (2011–2013) with available ORS were evaluated. Concordance was assessed via Cohen’s Kappa (κ). RESULTS: 57/105 cases showed agreement between mKi-67 and aKi-67 (κ 0.31, 95% CI 0.18–0.45), with 41 cases overestimated by aKi-67. Concordance was higher when estimated on the same image (κ 0.53, 95% CI 0.37–0.69). Concordance between mKi-67 score and ORS was fair (κ 0.27, 95% CI 0.11–0.42), and concordance between aKi-67 and ORS was poor (κ 0.10, 95% CI −0.03–0.23). CONCLUSIONS: These results highlight the limits of Ki-67 algorithms that use manual “hot spot” selection. Due to suboptimal concordance, Ki-67 is likely most useful as a complement to, rather than a surrogate for ORS, regardless of scoring method.


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