scholarly journals CD147 promotes invasion and MMP-9 expression through MEK signaling and predicts poor prognosis in hypopharyngeal squamous cell carcinoma

2021 ◽  
Vol 30 (1) ◽  
pp. 41-48
Author(s):  
Shinsuke Suzuki ◽  
Satoshi Toyoma ◽  
Yohei Kawasaki ◽  
Hiroshi Nanjo ◽  
Takechiyo Yamada
2010 ◽  
Vol 131 (3) ◽  
pp. 323-329 ◽  
Author(s):  
Nobuhiro Uwa ◽  
Tatsuki R. Kataoka ◽  
Ikuko Torii ◽  
Ayuko Sato ◽  
Takashi Nishigami ◽  
...  

2019 ◽  
Vol 23 (3) ◽  
pp. 407-417
Author(s):  
Jianing Xu ◽  
Neil Gross ◽  
Yuanwei Zang ◽  
Shengda Cao ◽  
Feilong Yang ◽  
...  

PLoS ONE ◽  
2013 ◽  
Vol 8 (7) ◽  
pp. e69038 ◽  
Author(s):  
Juan Wang ◽  
Xin-Liang Pan ◽  
Li-Jie Ding ◽  
Da-Yu Liu ◽  
Da-Peng Lei ◽  
...  

2015 ◽  
Vol 35 (2) ◽  
pp. 1027-1033 ◽  
Author(s):  
XIAOXIA QIU ◽  
JIANQIU CHEN ◽  
ZHENXIN ZHANG ◽  
YIWEN YOU ◽  
ZHIWEI WANG

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Xin Tang ◽  
Tong Pang ◽  
Wei-feng Yan ◽  
Wen-lei Qian ◽  
You-ling Gong ◽  
...  

Abstract Background Hypopharyngeal squamous cell carcinoma (HSCC) is a rare type of head and neck cancer with poor prognosis. However, till now, there is still no model predicting the survival outcomes for HSCC patients. We aim to develop a novel nomogram predicting the long-term cancer-specific survival (CSS) for patients with HSCC and establish a prognostic classification system. Methods Data of 2021 eligible HSCC patients were retrieved from the Surveillance, Epidemiology and End Results database between 2010 and 2015. We randomly split the whole cases (ratio: 7:3) into the training and the validation cohort. Cox regression as well as the Least absolute shrinkage and selection operator (LASSO) COX were used to select significant predictors of CSS. Based on the beta-value of these predictors, a novel nomogram was built. The concordance index (C-index), the calibration curve and the decision curve analysis (DCA) were utilized for the model validation and evaluation using the validation cohort. Results In total, cancer-specific death occurred in 974/2021 (48.2%) patients. LASSO COX indicated that age, race, T stage, N stage, M stage, surgery, radiotherapy and chemotherapy are significant prognosticators of CSS. A prognostic model based on these factors was constructed and visually presented as nomogram. The C-index of the model was 0.764, indicating great predictive accuracy. Additionally, DCA and calibration curves also demonstrated that the nomogram had good clinical effect and satisfactory consistency between the predictive CSS and actual observation. Furthermore, we developed a prognostic classification system that divides HSCC patients into three groups with different prognosis. The median CSS for HSCC patients in the favorable, intermediate and poor prognosis group was not reached, 39.0-Mo and 10.0-Mo, respectively (p < 0.001). Conclusions In this study, we constructed the first nomogram as well as a relevant prognostic classification system that predicts CSS for HSCC patients. We believe these tools would be helpful for clinical practice in patients’ consultation and risk group stratification.


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