Piccolo mediates EGFR signaling and acts as a prognostic biomarker in esophageal squamous cell carcinoma

Oncogene ◽  
2017 ◽  
Vol 36 (27) ◽  
pp. 3890-3902 ◽  
Author(s):  
W Zhang ◽  
R Hong ◽  
L Xue ◽  
Y Ou ◽  
X Liu ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Prognostic Biomarker ◽  
Egfr Signaling

scholarly journals MicroRNA-146a as a Prognostic Biomarker for Esophageal Squamous Cell Carcinoma

2020 ◽  
Vol Volume 12 ◽  
pp. 973-980
Author(s):  
Maryam Sadegh Shesh Poli ◽  
Safoura Khajeniazi ◽  
Nasser Behnampour ◽  
Mohamad Reza Kalani ◽  
Abdolvahab Moradi ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Prognostic Biomarker

SET domain-containing 5 is a potential prognostic biomarker that promotes esophageal squamous cell carcinoma stemness

2020 ◽  
Vol 389 (1) ◽  
pp. 111861 ◽  
Author(s):  
Lihua Piao ◽  
Haoyue Li ◽  
Ying Feng ◽  
Zhaoting Yang ◽  
Seokhyung Kim ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Prognostic Biomarker ◽  
Set Domain

scholarly journals Plasma microRNA-9 as a diagnostic and prognostic biomarker in patients with esophageal squamous cell carcinoma

2017 ◽  
Vol 45 (4) ◽  
pp. 1310-1317 ◽  
Author(s):  
Yuantao Cui ◽  
Yuan Xue ◽  
Shangwen Dong ◽  
Peng Zhang
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Roc Curve ◽  
Prognostic Biomarker ◽  
Clinical Stage ◽  
Curve Analysis ◽  
Healthy Controls ◽  
Roc Curve Analysis

Purpose Emerging evidence indicates that circulating microRNAs (miRs) might act as noninvasive biomarkers for cancer diagnosis and prognosis. We examined the expression pattern and clinical significance of plasma miR-9 in patients with esophageal squamous cell carcinoma (ESCC). Methods Venous blood samples (6 mL) were collected from 131 patients with ESCC and 131 healthy controls, and the plasma miR-9 concentration was detected by reverse transcription polymerase chain reaction. The association of plasma miR-9 expression with clinicopathologic factors and survival of patients with ESCC was evaluated. Receiver operating characteristic (ROC) curve analysis was applied to evaluate the clinical value of plasma miR-9 for ESCC diagnosis. Results The plasma miR-9 expression levels in patients with ESCC were significantly upregulated compared with normal controls. High plasma miR-9 concentrations were significantly correlated with poor tumor differentiation, large tumor size, deep local invasion, lymph node metastasis, advanced clinical stage, and poor survival. ROC curve analysis showed that the plasma miR-9 concentration could efficiently distinguish patients with ESCC from healthy controls. Multivariate survival analysis confirmed plasma miR-9 as an independent prognostic factor for ESCC. Conclusions Plasma miR-9 expression was upregulated in ESCC and might act as a novel diagnostic and prognostic biomarker.

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