scholarly journals The prognostic value of tumor-stromal ratio combined with TNM staging system in esophagus squamous cell carcinoma

2021 ◽  
Vol 12 (4) ◽  
pp. 1105-1114
Author(s):  
Ruyuan He ◽  
Donghang Li ◽  
Bohao Liu ◽  
Jie Rao ◽  
Heng Meng ◽  
...  
Proceedings ◽  
2019 ◽  
Vol 35 (1) ◽  
pp. 18
Author(s):  
Caponio ◽  
Troiano ◽  
Mascitti ◽  
Santarelli ◽  
Mauceri ◽  
...  

Tongue squamous cell carcinoma (TSCC) accounts for 40% of all squamous cell carcinoma involving the mucosal surface of the oral cavity. TSCC is highly invasive and aggressive and, nowadays, TNM staging system is considered the gold standard in predicting patients’ outcomes. [...]


2019 ◽  
Vol 39 (12) ◽  
Author(s):  
Mei-Di Hu ◽  
Si-Hai Chen ◽  
Yuan Liu ◽  
Ling-Hua Jia

Abstract Background: The present study aimed to develop and validate a nomogram based on expanded TNM staging to predict the prognosis for patients with squamous cell carcinoma of the bladder (SCCB). Methods: A total of 595 eligible patients with SCCB identified in the Surveillance, Epidemiology, and End Results (SEER) dataset were randomly divided into training set (n = 416) and validation set (n = 179). The likelihood ratio test was used to select potentially relevant factors for developing the nomogram. The performance of the nomogram was validated on the training and validation sets using a C-index with 95% confidence interval (95% CI) and calibration curve, and was further compared with TNM staging system. Results: The nomogram included six factors: age, T stage, N stage, M stage, the method of surgery and tumor size. The C-indexes of the nomogram were 0.768 (0.741–0.795) and 0.717 (0.671–0.763) in the training and validation sets, respectively, which were higher than the TNM staging system with C-indexes of 0.580 (0.543–0.617) and 0.540 (0.484–0.596) in the training and validation sets, respectively. Furthermore, the decision curve analysis (DCA) proved that the nomogram provided superior clinical effectiveness. Conclusions: We developed a nomogram that help predict individualized prognosis for patients with SCCB.


2018 ◽  
Vol 23 (5) ◽  
pp. 844-850 ◽  
Author(s):  
Satoshi Kano ◽  
Tomohiro Sakashita ◽  
Nayuta Tsushima ◽  
Takatsugu Mizumachi ◽  
Akira Nakazono ◽  
...  

2021 ◽  
Vol 10 ◽  
Author(s):  
Ning Kang ◽  
Yeying Fang ◽  
Huijun Zhu ◽  
Zhiling Shi ◽  
Liuyin Chen ◽  
...  

BackgroundThe American Joint Committee on Cancer-Tumor (AJCC-T) staging system for esophageal carcinoma patients, which is based on the depth of tumor invasion, is not applicable in some cases. This study aims to assess the prognostic value of CT imaging-based tumor volume and its usefulness for T staging in patients with non-surgical esophageal squamous cell carcinoma (ESCC).MethodsWe retrospectively reviewed the records of 158 ESCC patients undergoing definitive (chemo) radiotherapy from two hospitals. Tumor volume based on the CT imaging was calculated using the formula: V = πabc / 6. Three cutoff points for tumor volume were obtained with the X-tile software. Overall survival (OS) was analyzed using the Kaplan–Meier method. The -2 log-likelihood ratio and Akaike Information Criterion (AIC) value were evaluated to compare the AJCC-T staging system with the proposed T staging method.ResultsThe median tumor volume was 19.8 cm³ (range from 1.0 to 319.5 cm³). The three optimal cutoff points of tumor volume were 12.7, 22.8, and 51.9 cm³, and the patients were divided into four groups named as proposed T1–T4 stages. The 3-year OS rates in patients with proposed T1 to T4 stages were 67.9%, 30.6%, 21.3%, and 5.3%, respectively. The −2 log-likelihood ratios of the AJCC-T stage and proposed T stage were 1,068.060 and 1,047.418, respectively. The difference in the AIC value between the two T staging systems was 18.642.ConclusionCT imaging-based tumor volume was superior to the depth of tumor invasion for T staging in predicting the prognosis of non-surgical ESCC patient.


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