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Development and validation of a nomogram to predict survival in patients with metastatic testicular germ cell tumors.

Authors :
Yu DD
Hui D
Chen WK
Xiao YB
Wu ZG
Wang QQ
Zhou CF
Chen ZX
Li CD
Cai J
Source :
Translational cancer research [Transl Cancer Res] 2020 Apr; Vol. 9 (4), pp. 2402-2415.
Publication Year :
2020

Abstract

Background: To develop a nomogram to predict cancer-specific survival (CSS) in patients with metastatic testicular germ cell tumors (mTGCTs).<br />Methods: Data were obtained from the Surveillance, Epidemiology, and End Results database. Univariate and multivariate Cox regression models were used to identify factors associated with CSS. Survival times between different groups were compared using Kaplan-Meier survival curves and the log-rank test. A nomogram visualization model was established using the R language to predict survival rates. Harrell's concordance index (C-index), the area under the receiver operating characteristic curve (AUC) and calibration plots were used to assess the performance of the model.<br />Results: We analyzed the data of 949 patients. The median follow-up time was 32 months (range 0 to 83 months), and 224 (23.60%) patients died before the last follow-up, of whom 193 (20.33%) died of mTGCTs. The site of distant metastases was an independent prognostic factor for CSS. Compared to patients without involvement of the corresponding organ, patients with bone, brain, liver, and lung involvement had worse CSS. We also found that age, histological type, surgery, radiation therapy, chemotherapy, metastatic site and insurance status affected the CSS of patients with mTGCTs. We used these prognostic factors to construct our nomogram. Harrell's C-index for CSS was 0.739. The AUC and calibration plots indicated good performance of the nomogram.<br />Conclusions: A nomogram for predicting CSS in patients with mTGCTs has been developed, which can help patients and clinicians accurately predict mortality risk and recommend personalized treatment modalities.<br />Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/tcr.2020.03.59). The authors have no conflicts of interest to declare.<br /> (2020 Translational Cancer Research. All rights reserved.)

Details

Language :
English
ISSN :
2219-6803
Volume :
9
Issue :
4
Database :
MEDLINE
Journal :
Translational cancer research
Publication Type :
Academic Journal
Accession number :
35117600
Full Text :
https://doi.org/10.21037/tcr.2020.03.59