Dataset Information

The Effect of Tegafur-Uracil on Survival in T Categories as Defined in the Eighth Edition of the TNM Classification: An Exploratory Analysis of Postoperative Adjuvant Tegafur-Uracil on Survival in Patients with Adenocarcinoma of the Lung.

ABSTRACT:

Background

Tegafur-uracil (UFT) improves survival in patients with stage I adenocarcinoma of the lung. We evaluated the effect of UFT on survival in maximum primary tumor diameter (T) categories as defined in the eighth edition of the TNM Classification (TNM8).

Methods

Tumors were subgrouped on the basis of T category (TNM8) as follows: T1a, T ≤1 cm; T1b, 1 < T ≤2 cm; T1c, 2 < T ≤3 cm; T2a, 3 < T ≤4 cm; T2b , 4 < T ≤5 cm; T3, 5 < T ≤7 cm. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated by Cox proportional hazard models.

Results

UFT was associated with improved survival. The adjusted HRs were as follows: for T1a, 0.79 (95% CI 0.14-4.50); for T1b, 1.16 (95% CI 0.63-2.12); for T1c, 0.74 (95% CI 0.43-1.27); for T2a, 0.45 (95% CI 0.21-0.96); for T2b, 0.55 (95% CI 0.10-3.07), and for T3, 0.70 (95% CI 0.20-2.50).

Conclusions

The adjuvant chemotherapy with UFT tended to improve survival in patients with adenocarcinoma of the lung of each T category based on TNM8, except T1b.

SUBMITTER: Tsuboi M

PROVIDER: S-EPMC5804850 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Publications

The Effect of Tegafur-Uracil on Survival in T Categories as Defined in the Eighth Edition of the TNM Classification: An Exploratory Analysis of Postoperative Adjuvant Tegafur-Uracil on Survival in Patients with Adenocarcinoma of the Lung.

Tsuboi Masahiro M Hamada Chikuma C Kato Harubumi H Ohta Mitsuo M

Chemotherapy 20170818 6

<h4>Background</h4>Tegafur-uracil (UFT) improves survival in patients with stage I adenocarcinoma of the lung. We evaluated the effect of UFT on survival in maximum primary tumor diameter (T) categories as defined in the eighth edition of the TNM Classification (TNM8).<h4>Methods</h4>Tumors were subgrouped on the basis of T category (TNM8) as follows: T1a, T ≤1 cm; T1b, 1 < T ≤2 cm; T1c, 2 < T ≤3 cm; T2a, 3 < T ≤4 cm; T2b , 4 < T ≤5 cm; T3, 5 < T ≤7 cm. Hazard ratios (HR) and 95% confidence inte ...[more]

PMID: 28817813

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Project description:ObjectiveThymic epithelial tumors (TETs) are rare tumors that originated from thymic epithelial cells, with limited studies investigating their prognostic factors. This study aimed to investigate the prognostic factors of TETs and develop a new risk classifier to predict their overall survival (OS).MethodsThis retrospective study consisted of 1224 TETs patients registered in the Surveillance, Epidemiology, and End Results (SEER) database, and 75 patients from the First Affiliated Hospital of Xi'an Jiaotong University. The univariate and multivariate Cox regression analyses were adopted to select the best prognostic variables. A nomogram was developed to predict the OS of these patients. The discriminative and calibrated abilities of the nomogram were assessed using the receiver operating characteristics curve (ROC) and calibration curve. Decision curve analysis (DCA), net reclassification index (NRI), and integrated discrimination improvement (IDI) were adopted to assess its net clinical benefit and reclassification ability.ResultsThe multivariate analysis revealed that age, sex, histologic type, TNM staging, tumor grade, surgery, radiation, and tumor size were independent prognostic factors of TETs, and a nomogram was developed to predict the OS of these patients based on these variables. The time-dependent ROC curves displayed that the nomogram yielded excellent performance in predicting the 12-, 36- and 60-month OS of these patients. Calibration curves presented satisfying consistencies between the actual and predicted OS. DCA illustrated that the nomogram will bring significant net clinical benefits to these patients compared to the classic TNM staging system. The estimated NRI and IDI showed that the nomogram could significantly increase the predictive ability of 12-, 36- and 60-month OS compared to the classic TNM staging system. Consistent findings were discovered in the internal and external validation cohorts.ConclusionThe constructed nomogram is a reliable risk classifier to achieve personalized survival probability prediction of TETs, and could bring significant net clinical benefits to these patients.

Dataset Information

The Effect of Tegafur-Uracil on Survival in T Categories as Defined in the Eighth Edition of the TNM Classification: An Exploratory Analysis of Postoperative Adjuvant Tegafur-Uracil on Survival in Patients with Adenocarcinoma of the Lung.

Background

Methods

Results

Conclusions

Publications

The Effect of Tegafur-Uracil on Survival in T Categories as Defined in the Eighth Edition of the TNM Classification: An Exploratory Analysis of Postoperative Adjuvant Tegafur-Uracil on Survival in Patients with Adenocarcinoma of the Lung.

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