Expressions of extracellular matrix‐remodeling factors in lymph nodes from oral cancer patients

Oral Diseases ◽  
2020 ◽  
Vol 26 (7) ◽  
pp. 1424-1431
Author(s):  
Shuichi Fujita ◽  
Misa Sumi ◽  
Eri Tatsukawa ◽  
Kenichi Nagano ◽  
Naoki Katase
2014 ◽  
Vol 41 (12) ◽  
pp. 2249-2256 ◽  
Author(s):  
Géke B. Flach ◽  
Annelies van Schie ◽  
Birgit I. Witte ◽  
Renato A. Valdés Olmos ◽  
W. Martin C. Klop ◽  
...  

2014 ◽  
Vol 31 (3) ◽  
pp. 327-338 ◽  
Author(s):  
Marilena Vered ◽  
Ginette Schiby ◽  
Anna Schnaiderman-Shapiro ◽  
Ilya Novikov ◽  
Ibrahim O. Bello ◽  
...  

2016 ◽  
Vol 274 (2) ◽  
pp. 961-968 ◽  
Author(s):  
Inne J. Den Toom ◽  
Elisabeth Bloemena ◽  
Stijn van Weert ◽  
K. Hakki Karagozoglu ◽  
Otto S. Hoekstra ◽  
...  

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Qimin Zhou ◽  
Monika Bauden ◽  
Roland Andersson ◽  
Dingyuan Hu ◽  
György Marko-Varga ◽  
...  

Abstract Background Pancreatic cancer is a major cause of cancer-related mortality. The identification of effective biomarkers is essential in order to improve management of the disease. Yes-associated protein 1 (YAP1) is a downstream effector of the Hippo pathway, a signal transduction system implicated in tissue repair and regeneration, as well as tumorigenesis. Here we evaluate the biomarker potential of YAP1 in pancreatic cancer tissue. Methods YAP1 was selected as a possible biomarker for pancreatic cancer from global protein sequencing of fresh frozen pancreatic cancer tissue samples and normal pancreas controls. The prognostic utility of YAP1 was evaluated using mRNA expression data from 176 pancreatic cancer patients in The Cancer Genome Atlas (TCGA), as well as protein expression data from immunohistochemistry analysis of a local tissue microarray (TMA) cohort comprising 140 pancreatic cancer patients. Ingenuity Pathway Analysis was applied to outline the interaction network for YAP1 in connection to the pancreatic tumor microenvironment. The expression of YAP1 target gene products was evaluated after treatment of the pancreatic cancer cell line Panc-1 with three substances interrupting YAP–TEAD interaction, including Super-TDU, Verteporfin and CA3. Results Mass spectrometry based proteomics showed that YAP1 is the top upregulated protein in pancreatic cancer tissue when compared to normal controls (log2 fold change 6.4; p = 5E−06). Prognostic analysis of YAP1 demonstrated a significant correlation between mRNA expression level data and reduced overall survival (p = 0.001). In addition, TMA and immunohistochemistry analysis suggested that YAP1 protein expression is an independent predictor of poor overall survival [hazard ratio (HR) 1.870, 95% confidence interval (CI) 1.224–2.855, p = 0.004], as well as reduced disease-free survival (HR 1.950, 95% CI 1.299–2.927, p = 0.001). Bioinformatic analyses coupled with in vitro assays indicated that YAP1 is involved in the transcriptional control of target genes, associated with extracellular matrix remodeling, which could be modified by selected substances disrupting the YAP1-TEAD interaction. Conclusions Our findings indicate that YAP1 is an important prognostic biomarker for pancreatic cancer and may play a regulatory role in the remodeling of the extracellular matrix.


Medicina ◽  
2020 ◽  
Vol 57 (1) ◽  
pp. 17
Author(s):  
Chung-Min Yeh ◽  
Yi-Ju Lee ◽  
Po-Yun Ko ◽  
Yueh-Min Lin ◽  
Wen-Wei Sung

Background and objectives: Krüppel-like transcription factor 10 (KLF10) plays a vital role in regulating cell proliferation, including the anti-proliferative process, activation of apoptosis, and differentiation control. KLF10 may also act as a protective factor against oral cancer. We studied the impact of KLF10 expression on the clinical outcomes of oral cancer patients to identify its role as a prognostic factor in oral cancer. Materials and Methods: KLF10 immunoreactivity was analyzed by immunohistochemical (IHC) stain analysis in 286 cancer specimens from primary oral cancer patients. The prognostic value of KLF10 on overall survival was determined by Kaplan–Meier analysis and the Cox proportional hazard model. Results: High KLF10 expression was significantly associated with male gender and betel quid chewing. The 5-year survival rate was greater for patients with high KLF10 expression than for those with low KLF10 expression (62.5% vs. 51.3%, respectively; p = 0.005), and multivariate analyses showed that high KLF10 expression was the only independent factor correlated with greater overall patient survival. The significant correlation between high KLF10 expression and a higher 5-year survival rate was observed in certain subgroups of clinical parameters, including female gender, non-smokers, cancer stage T1, and cancer stage N0. Conclusions: KLF10 expression, detected by IHC staining, could be an independent prognostic marker for oral cancer patients.


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