scholarly journals Development and validation of a nomogram to predict the prognosis of patients with squamous cell carcinoma of the bladder

2019 ◽  
Vol 39 (12) ◽  
Author(s):  
Mei-Di Hu ◽  
Si-Hai Chen ◽  
Yuan Liu ◽  
Ling-Hua Jia
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Staging System ◽  
Clinical Effectiveness ◽  
Tnm Staging ◽  
Ratio Test ◽  
Tnm Staging System ◽  
Carcinoma Of The Bladder ◽  
Validation Set

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.

scholarly journals Predicting Death in Patients with Squamous Cell Carcinoma of the Tongue

Proceedings ◽  
2019 ◽  
Vol 35 (1) ◽  
pp. 18
Author(s):  
Caponio ◽  
Troiano ◽  
Mascitti ◽  
Santarelli ◽  
Mauceri ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Cavity ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Gold Standard ◽  
Staging System ◽  
Tnm Staging ◽  
Mucosal Surface ◽  
Tnm Staging System ◽  
Carcinoma Of The Tongue

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. [...]

scholarly journals Validation of the 8th edition of the AJCC/UICC TNM staging system for tongue squamous cell carcinoma

2018 ◽  
Vol 23 (5) ◽  
pp. 844-850 ◽  
Author(s):  
Satoshi Kano ◽  
Tomohiro Sakashita ◽  
Nayuta Tsushima ◽  
Takatsugu Mizumachi ◽  
Akira Nakazono ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Staging System ◽  
Tnm Staging ◽  
Tongue Squamous Cell Carcinoma ◽  
Tnm Staging System ◽  
8Th Edition

scholarly journals Nomograms to Predict the Prognosis in Locally Advanced Oral Squamous Cell Carcinoma After Curative Resection

2021 ◽  
Author(s):  
Zhiliang Nie ◽  
Pengcheng Zhao ◽  
Yishan Shang ◽  
Bo Sun
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Curative Resection ◽  
Locally Advanced ◽  
Staging System ◽  
Training Set ◽  
Curative Surgery ◽  
Validation Set

Abstract Background: Oral squamous cell carcinoma (OSCC), the dominant histologic type of oral cancer. Locally advanced OSCC remains a major therapeutic challenge. Our study aimed to develop and validate nomograms predicting survival prognosis in patients with locally advanced oral squamous cell carcinoma (OSCC) after curative resection. Methods: A total of 269 consecutive patients with primary OSCC who received curative resection between September 2007 and March 2020 were retrospectively enrolled in our study. Patients were randomly assigned to the training cohort (n=201) or the validation cohort (n=68). Multivariate Cox regression analyses were conducted to determine independent prognostic factors for overall survival (OS) and cancer specific survival (CSS) in the training set, which were used for the construction of nomogram models estimating 3-, and 5-year OS and CSS. We also evaluated the nomograms using concordance indices (c-index), calibration curves, and decision curve analyses (DCA), and compared those with the AJCC 8th staging system. The results were externally validated in the validation cohort.Results: Age, Kaplan-Feinstein (KFI) index, pT, the number of positive nodes and systemic inflammatory index (SII) were significant prognostic predictors for OS and CSS. The OS nomogram had c-index values of 0.712 in the training set and 0.697 in the validation set, while the CSS nomograms had c-index values of 0.709 in the training set and 0.675 in the validation set. These data were superior to those of AJCC 8th staging system, suggesting high discriminative ability of the nomograms. Calibration curves exhibited good agreement between observed and predicted survival. DCA curves indicated the nomograms were with potential clinical usefulness. These results were validated in the validation set.Conclusions: The novel nomograms incorporating clinically available characteristics for OS and CSS prediction were developed in the locally advanced OSCC patients after curative surgery. Validation revealed good discrimination and calibration, indicating the clinical utility of the nomograms in the individualized prognosis prediction of locally advanced OSCC after curative surgery.

scholarly journals Nomograms to predict the prognosis in locally advanced oral squamous cell carcinoma after curative resection

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhiliang Nie ◽  
Pengcheng Zhao ◽  
Yishan Shang ◽  
Bo Sun
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Curative Resection ◽  
Locally Advanced ◽  
Staging System ◽  
Training Set ◽  
Curative Surgery ◽  
Validation Set

Abstract Background Oral squamous cell carcinoma (OSCC) is the dominant histologic type of oral cancer. Locally advanced OSCC remains a major therapeutic challenge. Our study aimed to develop and validate nomograms predicting survival prognosis in patients with locally advanced oral squamous cell carcinoma (OSCC) after curative resection. Methods A total of 269 consecutive patients with primary OSCC who received curative resection between September 2007 and March 2020 were retrospectively enrolled in our study. Patients were randomly assigned to the training cohort (n = 201) or the validation cohort (n = 68). Multivariate Cox regression analyses were conducted to determine independent prognostic factors for overall survival (OS) and cancer specific survival (CSS) in the training set, which were used to develop nomogram models estimating 3-, and 5-year OS and CSS. We also evaluated the nomograms using concordance indices (c-index), calibration curves, and decision curve analyses (DCA), and compared those with the AJCC 8th staging system. The results were externally validated in the validation cohort. Results Age, Kaplan-Feinstein (KFI) index, pT, the number of positive nodes and systemic inflammatory index (SII) were significant prognostic predictors for OS and CSS. The OS nomogram had c-index values of 0.712 in the training set and 0.697 in the validation set, while the CSS nomogram exhibited c-index values of 0.709 in the training set and 0.675 in the validation set. These data were superior to those of AJCC 8th staging system, suggesting high discriminative ability of the nomograms. Calibration curves exhibited good agreement between observed and predicted survival. DCA curves indicated the nomograms were with potential clinical usefulness. These results were validated in the validation set. Conclusions The novel nomograms incorporating clinically available characteristics for OS and CSS prediction were developed in the locally advanced OSCC patients after curative surgery. Validation revealed good discrimination and calibration, indicating the clinical utility of the nomograms in the individualized prognosis prediction of locally advanced OSCC after curative surgery.

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