scholarly journals A methylomics-correlated nomogram predicts the recurrence free survival risk of kidney renal clear cell carcinoma

2021 ◽  
Vol 18 (6) ◽  
pp. 8559-8576
Author(s):  
Xiuxian Zhu ◽  
◽  
Xianxiong Ma ◽  
Chuanqing Wu
Keyword(s):  
Dna Methylation ◽  
Cell Carcinoma ◽  
Roc Analysis ◽  
Clear Cell ◽  
Clear Cell Carcinoma ◽  
External Validation ◽  
Renal Clear Cell Carcinoma ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
Validation Set

<abstract> <sec><title>Background</title><p>Various studies have suggested that the DNA methylation signatures were promising to identify novel hallmarks for predicting prognosis of cancer. However, few studies have explored the capacity of DNA methylation for prognostic prediction in patients with kidney renal clear cell carcinoma (KIRC). It's very promising to develop a methylomics-related signature for predicting prognosis of KIRC.</p> </sec> <sec><title>Methods</title><p>The 282 patients with complete DNA methylation data and corresponding clinical information were selected to construct the prognostic model. The 282 patients were grouped into a training set (70%, n = 198 samples) to determine a prognostic predictor by univariate Cox proportional hazard analysis, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis. The internal validation set (30%, n = 84) and an external validation set (E-MTAB-3274) were used to validate the predictive value of the predictor by receiver operating characteristic (ROC) analysis and Kaplan–Meier survival analysis.</p> </sec> <sec><title>Results</title><p>We successfully identified a 9-DNA methylation signature for recurrence free survival (RFS) of KIRC patients. We proved the strong robustness of the 9-DNA methylation signature for predicting RFS through ROC analysis (AUC at 1, 3, 5 years in internal dataset (0.859, 0.840, 0.817, respectively), external validation dataset (0.674, 0.739, 0.793, respectively), entire TCGA dataset (0.834, 0.862, 0.842, respectively)). In addition, a nomogram combining methylation risk score with the conventional clinic-related covariates was constructed to improve the prognostic predicted ability for KIRC patients. The result implied a good performance of the nomogram.</p> </sec> <sec><title>Conclusions</title><p>we successfully identified a DNA methylation-associated nomogram, which was helpful in improving the prognostic predictive ability of KIRC patients.</p> </sec> </abstract>

Adjuvant Chemotherapy for Stage I Ovarian Clear Cell Carcinoma: Is it Necessary for Stage IA?

2012 ◽  
Vol 22 (7) ◽  
pp. 1143-1149 ◽  
Author(s):  
Mika Mizuno ◽  
Hiroaki Kajiyama ◽  
Kiyosumi Shibata ◽  
Kimio Mizuno ◽  
Osamu Yamamuro ◽  
...  
Keyword(s):  
Adjuvant Chemotherapy ◽  
Cell Carcinoma ◽  
Clear Cell ◽  
Clear Cell Carcinoma ◽  
Stage I ◽  
Surgical Staging ◽  
Recurrence Free Survival ◽  
Ovarian Clear Cell Carcinoma ◽  
Free Survival ◽  
Stage Ia

BackgroundIt is controversial whether patients with stage I ovarian clear cell carcinoma (CCC) benefit from postoperative chemotherapy. This study was designed to evaluate the postoperative outcomes associated with the inclusion or exclusion of adjuvant therapy in these patients.MethodsA total of 185 patients who were treated for stage I CCC between 1991 and 2007 were retrospectively evaluated. All of the patients had received comprehensive surgical staging, and their condition had been diagnosed by a central pathological review system. Only one patient with stage IB was excluded from this study.ResultsMedian follow-up time was 62 months (range 7–191 months). Median age was 52 years (30–75 years). There were 41, 93, and 50 patients in stage IA, intraoperative capsule ruptured IC (rupture-IC), and all other-IC groups, respectively. The 5-year recurrence-free survival rates for the substage were 97.6%, 87.8%, and 70.4% (P < 0.001), respectively. Among 134 patients consisting of those in the stage IA and rupture-IC groups, 91 patients received adjuvant chemotherapy (AC) and 43 patients did not (non-AC). There was no significant survival difference in each substage group between the non-AC and AC groups in 5-year recurrence-free survival rate (stage IA, 100% vs 93.8%; rupture-IC, 94.1% vs 86.6%). Multivariate analysis demonstrated that there was no significant prognostic factor for both recurrence and survival among the IA and rupture-IC groups. Postoperative therapy, regimen, and chemotherapy cycles were not significantly affected.ConclusionsThis study indicates that adjuvant chemotherapy does not contribute to the improving prognosis of stage IA ovarian CCC. Whereas the histological type is CCC, the routine adjuvant chemotherapy after comprehensive surgical staging may be unnecessary for patients with at least stage IA.

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