scholarly journals Integrated Bioinformatics Data Analysis Reveals Prognostic Significance Of SIDT1 In Triple-Negative Breast Cancer

2019 ◽  
Vol Volume 12 ◽  
pp. 8401-8410 ◽  
Author(s):  
Ya Wang ◽  
Hanning Li ◽  
Jingjing Ma ◽  
Tian Fang ◽  
Xiaoting Li ◽  
...  
2019 ◽  
Vol 8 (6) ◽  
pp. 661-671 ◽  
Author(s):  
Shuang Ye ◽  
Yuanyuan Xu ◽  
Jiehao Li ◽  
Shuhui Zheng ◽  
Peng Sun ◽  
...  

The role of G protein-coupled estrogen receptor 1 (GPER) signaling, including promotion of Ezrin phosphorylation (which could be activated by estrogen), has not yet been clearly identified in triple-negative breast cancer (TNBC). This study aimed to evaluate the prognostic value of GPER and Ezrin in TNBC patients. Clinicopathologic features including age, menopausal status, tumor size, nuclear grade, lymph node metastasis, AJCC TNM stage, and ER, PR and HER-2 expression were evaluated from 249 TNBC cases. Immunohistochemical staining of GPER and Ezrin was performed on TNBC pathological sections. Kaplan–Meier analyses, as well as logistic regressive and Cox regression model tests were applied to evaluate the prognostic significance between different subgroups. Compared to the GPER-low group, the GPER-high group exhibited higher TNM staging (P = 0.021), more death (P < 0.001), relapse (P < 0.001) and distant events (P < 0.001). Kaplan–Meier analysis showed that GPER-high patients had a decreased OS (P < 0.001), PFS (P < 0.001), LRFS (P < 0.001) and DDFS (P < 0.001) than GPER-low patients. However, these differences in prognosis were not statistically significant in post-menopausal patients (OS, P = 0.8617; PFS, P = 0.1905; LRFS, P = 0.4378; DDFS, P = 0.2538). There was a significant positive correlation between GPER and Ezrin expression level (R = 0.508, P < 0.001) and the effect of Ezrin on survival prognosis corresponded with GPER. Moreover, a multivariable analysis confirmed that GPER and Ezrin level were both significantly associated with poor DDFS (HR: 0.346, 95% CI 0.182–0.658, P = 0.001; HR: 0.320, 95% CI 0.162–0.631, P = 0.001). Thus, overexpression of GPER and Ezrin may contribute to aggressive behavior and indicate unfavorable prognosis in TNBC; this may correspond to an individual’s estrogen levels.


BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Katsuhiro Yoshikawa ◽  
Mitsuaki Ishida ◽  
Hirotsugu Yanai ◽  
Koji Tsuta ◽  
Mitsugu Sekimoto ◽  
...  

Abstract Background Cancer-associated fibroblasts (CAFs) are some of the most abundant components of the tumour microenvironment. A recent study suggested that in some cancers, CAFs express programmed death ligand 1 (PD-L1), which can act as a prognostic marker. The aim of this study was to investigate the clinicopathological significance of CAF PD-L1 expression in patients with triple-negative breast cancer (TNBC) and to identify the most suitable primary antibody for immunostaining for CAF PD-L1. Methods Immunohistochemical staining (primary antibodies of 73–10, SP142, and E1L3N) and tissue microarrays were used to analyse the expression profiles of PD-L1 in CAF in 61 patients with TNBC who underwent surgery. Overall survival (OS) was compared based on CAF PD-L1 expression, and the risk factors for OS were analysed. The relationship between clinicopathological parameters and survival was also examined. Results Thirty-four (55.7%) patients were positive for CAF PD-L1 (73–10) expression. Compared with CAF PD-L1 negativity, there was a significant correlation between CAF PD-L1 positivity and better OS (p = 0.029). CAF PD-L1 expression, evaluated using SP-142 or E1L3N, did not correlate with OS. CAF PD-L1-positivity (73–10) correlated significantly with better prognosis in multivariate analyses (hazard ratio: 0.198; 95% confidence interval: 0.044–0.891; p = 0.035). Conclusions CAF PD-L1 expression is a novel marker for a better prognosis of patients with TNBC, and the 73–10 assay may be suitable for immunostaining CAF PD-L1.


2014 ◽  
Vol 25 ◽  
pp. iv572
Author(s):  
I.V. Bayoglu ◽  
B. Kucukzeybek ◽  
Y. Küçükzeybek ◽  
I. Yildiz ◽  
M. Akyol ◽  
...  

2018 ◽  
Vol 69 (2) ◽  
pp. 157-168 ◽  
Author(s):  
Betul Bolat Kucukzeybek ◽  
Ibrahım V. Bayoglu ◽  
Yuksel Kucukzeybek ◽  
Yasar Yıldız ◽  
Utku Oflazoglu ◽  
...  

2016 ◽  
Vol 468 (5) ◽  
pp. 589-595 ◽  
Author(s):  
Hui-Ping Chien ◽  
Shir-Hwa Ueng ◽  
Shin-Cheh Chen ◽  
Yu-Sun Chang ◽  
Yung-Chang Lin ◽  
...  

2019 ◽  
Vol 25 (1) ◽  
pp. 19-27 ◽  
Author(s):  
Xuelu Li ◽  
Chen Song ◽  
Kainan Wang ◽  
Ning Li ◽  
Siwen Sun ◽  
...  

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