High expression of leptin receptor mRNA in breast cancer tissue predicts poor prognosis for patients with high, but not low, serum leptin levels

2005 ◽  
Vol 118 (6) ◽  
pp. 1414-1419 ◽  
Author(s):  
Yasuo Miyoshi ◽  
Tohru Funahashi ◽  
Sachiyo Tanaka ◽  
Tetsuya Taguchi ◽  
Yasuhiro Tamaki ◽  
...  
2020 ◽  
Author(s):  
Ai Amioka ◽  
Takayuki Kadoya ◽  
Satoshi Sueoka ◽  
Yoshie Kobayashi ◽  
Shinsuke Sasada ◽  
...  

Abstract BackgroundIt was previously reported by us that Wnt5a-positive breast cancer can be classified as estrogen receptor (ER)-positive breast cancer and its prognosis is worse than that of Wnt5a-negative breast cancer. Herein, the molecular mechanisms underlying the poor prognosis of Wnt5a-positive breast cancer patients were examined. MethodsA total of 151 consecutive ER-positive breast cancer patients who underwent resection between January 2011 and February 2014 were enrolled. DNA microarray and pathway analyses were performed conducted using MCF-7 cells stably expressing Wnt5a (MCF-7/Wnt5a(+)). Based on the results, cell viability and drug sensitivity assays as well as mutation analysis , were performed using culture cells and breast cancer tissue. The relationship between Wnt5a and the PI3K–AKT–mTOR signaling pathway was examined.ResultsThe relapse-free survival rate in patients with Wnt5a-positive breast cancer was significantly lower than that in patients with Wnt5a-negative breast cancer ( P = 0.047). DNA microarray data indicated that only the cytochrome P450 (CYP) pathway was significantly upregulated in MCF-7/Wnt5a(+) cells ( P = 0.0440). MCF-7/Wnt5a(+) cells showed reduced sensitivity to the metabolic substrates of CYP, tamoxifen ( P < 0.001), and paclitaxel ( P < 0.001). PIK3CA mutations were unrelated to Wnt5a expression in breast cancer tissue and culture cells.ConclusionsIn ER-positive breast cancer, Wnt5a upregulated the CYP metabolic pathway; additionally, it inhibited the sensitivity to tamoxifen and paclitaxel, which constitute the standard treatment options for ER-positive breast cancer. Wnt5a could be involved in the poor prognosis of ER-positive breast cancer independently of the PI3K–AKT–mTOR signaling pathway.


The Breast ◽  
2019 ◽  
Vol 44 ◽  
pp. S99
Author(s):  
D. Sa-nguanraksa ◽  
C. Thasripoo ◽  
N. Samarnthai ◽  
T. Kummalue ◽  
P. O-charoenrat

Oncotarget ◽  
2016 ◽  
Vol 7 (24) ◽  
pp. 35843-35852 ◽  
Author(s):  
Mu Yang ◽  
Fangfang Liu ◽  
Kayoko Higuchi ◽  
Jinko Sawashita ◽  
Xiaoying Fu ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Siti Norbaini Sabtu ◽  
S. F. Abdul Sani ◽  
L. M. Looi ◽  
S. F. Chiew ◽  
Dharini Pathmanathan ◽  
...  

AbstractThe epithelial-mesenchymal transition (EMT) is a crucial process in cancer progression and metastasis. Study of metabolic changes during the EMT process is important in seeking to understand the biochemical changes associated with cancer progression, not least in scoping for therapeutic strategies aimed at targeting EMT. Due to the potential for high sensitivity and specificity, Raman spectroscopy was used here to study the metabolic changes associated with EMT in human breast cancer tissue. For Raman spectroscopy measurements, tissue from 23 patients were collected, comprising non-lesional, EMT and non-EMT formalin-fixed and paraffin embedded breast cancer samples. Analysis was made in the fingerprint Raman spectra region (600–1800 cm−1) best associated with cancer progression biochemical changes in lipid, protein and nucleic acids. The ANOVA test followed by the Tukey’s multiple comparisons test were conducted to see if there existed differences between non-lesional, EMT and non-EMT breast tissue for Raman spectroscopy measurements. Results revealed that significant differences were evident in terms of intensity between the non-lesional and EMT samples, as well as the EMT and non-EMT samples. Multivariate analysis involving independent component analysis, Principal component analysis and non-negative least square were used to analyse the Raman spectra data. The results show significant differences between EMT and non-EMT cancers in lipid, protein, and nucleic acids. This study demonstrated the capability of Raman spectroscopy supported by multivariate analysis in analysing metabolic changes in EMT breast cancer tissue.


2016 ◽  
Vol 61 ◽  
pp. S183
Author(s):  
E. Shestakova ◽  
E. Dudko ◽  
A. Grishanina ◽  
V. Kirsanov ◽  
N. Vichljantzeva ◽  
...  

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