A Novel and Easy-to-Promote Prognostic Model for Patients With Uveal Melanoma

PurposeTo establish an easy and widely applicable prognostic prediction model for uveal melanoma (UM) based on a Chinese population.Patients and MethodsA total of 295 consecutive cases treated at the Eye & ENT Hospital of Fudan University were included as the primary cohort, and 256 cases we...

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Main Authors: Han Yue, Binbin Xu, Jian Gao, Yingwen Bi, Kang Xue, Jie Guo, Rui Zhang, Hui Ren, Yifei Yuan, Jiang Qian
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.879394/full
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author Han Yue
Han Yue
Binbin Xu
Binbin Xu
Jian Gao
Yingwen Bi
Kang Xue
Kang Xue
Jie Guo
Jie Guo
Rui Zhang
Rui Zhang
Hui Ren
Hui Ren
Yifei Yuan
Yifei Yuan
Jiang Qian
Jiang Qian
author_facet Han Yue
Han Yue
Binbin Xu
Binbin Xu
Jian Gao
Yingwen Bi
Kang Xue
Kang Xue
Jie Guo
Jie Guo
Rui Zhang
Rui Zhang
Hui Ren
Hui Ren
Yifei Yuan
Yifei Yuan
Jiang Qian
Jiang Qian
author_sort Han Yue
collection DOAJ
description PurposeTo establish an easy and widely applicable prognostic prediction model for uveal melanoma (UM) based on a Chinese population.Patients and MethodsA total of 295 consecutive cases treated at the Eye & ENT Hospital of Fudan University were included as the primary cohort, and 256 cases were included in the validation cohorts from two external Caucasian databases. Clinicopathological data were collected retrospectively, and nomogram models were formulated based on multivariable analysis. The concordance index (C-index), AUC (area under the Receiver Operating Characteristic, ROC curve), and Brier score were calculated and compared.ResultsBased on the training cohort, a nomogram model was established with five relevant variables: age, tumor size, ciliary body involvement, non-spindle cell type and extra-scleral extension. The C-index was 0.737, the 3- and 5-year AUCs were 0.767 and 0.742, and the Brier scores for 3- and 5-year survival were 0.082 and 0.129, respectively, which showed superior prediction compared to that of the Tumor, Node and Metastasis staging system. The model also displayed good discrimination and calibration in the external validation cohorts. By risk stratification, patients could be divided into low- and high-risk groups, and the overall survival curves displayed significant differences in the training and validation cohorts.ConclusionOur nomogram model was simple and accurate at predicting the overall survival of patients with UM. It was established based on Asian patients and proved suitable for Caucasian patients; thus, it has a wide range of potential applications, especially for patients living in less medically developed countries and regions.
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spelling doaj.art-779751549f6b4739933cabb5f4e7882e2022-12-22T02:34:42ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-06-011210.3389/fonc.2022.879394879394A Novel and Easy-to-Promote Prognostic Model for Patients With Uveal MelanomaHan Yue0Han Yue1Binbin Xu2Binbin Xu3Jian Gao4Yingwen Bi5Kang Xue6Kang Xue7Jie Guo8Jie Guo9Rui Zhang10Rui Zhang11Hui Ren12Hui Ren13Yifei Yuan14Yifei Yuan15Jiang Qian16Jiang Qian17Department of Ophthalmology, Eye & Ear, Nose, and Throat (ENT) Hospital of Fudan University, Shanghai, ChinaShanghai Key Laboratory of Visual Impairment and Restoration, Fudan University, Shanghai, ChinaDepartment of Ophthalmology, Eye & Ear, Nose, and Throat (ENT) Hospital of Fudan University, Shanghai, ChinaShanghai Key Laboratory of Visual Impairment and Restoration, Fudan University, Shanghai, ChinaCenter of Clinical Epidemiology and Evidence-based Medicine, Fudan University, Shanghai, ChinaDepartment of Pathology, Eye & Ear, Nose, and Throat (ENT) Hospital of Fudan University, Shanghai, ChinaDepartment of Ophthalmology, Eye & Ear, Nose, and Throat (ENT) Hospital of Fudan University, Shanghai, ChinaShanghai Key Laboratory of Visual Impairment and Restoration, Fudan University, Shanghai, ChinaDepartment of Ophthalmology, Eye & Ear, Nose, and Throat (ENT) Hospital of Fudan University, Shanghai, ChinaShanghai Key Laboratory of Visual Impairment and Restoration, Fudan University, Shanghai, ChinaDepartment of Ophthalmology, Eye & Ear, Nose, and Throat (ENT) Hospital of Fudan University, Shanghai, ChinaShanghai Key Laboratory of Visual Impairment and Restoration, Fudan University, Shanghai, ChinaDepartment of Ophthalmology, Eye & Ear, Nose, and Throat (ENT) Hospital of Fudan University, Shanghai, ChinaShanghai Key Laboratory of Visual Impairment and Restoration, Fudan University, Shanghai, ChinaDepartment of Ophthalmology, Eye & Ear, Nose, and Throat (ENT) Hospital of Fudan University, Shanghai, ChinaShanghai Key Laboratory of Visual Impairment and Restoration, Fudan University, Shanghai, ChinaDepartment of Ophthalmology, Eye & Ear, Nose, and Throat (ENT) Hospital of Fudan University, Shanghai, ChinaShanghai Key Laboratory of Visual Impairment and Restoration, Fudan University, Shanghai, ChinaPurposeTo establish an easy and widely applicable prognostic prediction model for uveal melanoma (UM) based on a Chinese population.Patients and MethodsA total of 295 consecutive cases treated at the Eye & ENT Hospital of Fudan University were included as the primary cohort, and 256 cases were included in the validation cohorts from two external Caucasian databases. Clinicopathological data were collected retrospectively, and nomogram models were formulated based on multivariable analysis. The concordance index (C-index), AUC (area under the Receiver Operating Characteristic, ROC curve), and Brier score were calculated and compared.ResultsBased on the training cohort, a nomogram model was established with five relevant variables: age, tumor size, ciliary body involvement, non-spindle cell type and extra-scleral extension. The C-index was 0.737, the 3- and 5-year AUCs were 0.767 and 0.742, and the Brier scores for 3- and 5-year survival were 0.082 and 0.129, respectively, which showed superior prediction compared to that of the Tumor, Node and Metastasis staging system. The model also displayed good discrimination and calibration in the external validation cohorts. By risk stratification, patients could be divided into low- and high-risk groups, and the overall survival curves displayed significant differences in the training and validation cohorts.ConclusionOur nomogram model was simple and accurate at predicting the overall survival of patients with UM. It was established based on Asian patients and proved suitable for Caucasian patients; thus, it has a wide range of potential applications, especially for patients living in less medically developed countries and regions.https://www.frontiersin.org/articles/10.3389/fonc.2022.879394/fulluveal melanoma (UM)prognostic modelnomogramsurvival probabilitiesexternal validation
spellingShingle Han Yue
Han Yue
Binbin Xu
Binbin Xu
Jian Gao
Yingwen Bi
Kang Xue
Kang Xue
Jie Guo
Jie Guo
Rui Zhang
Rui Zhang
Hui Ren
Hui Ren
Yifei Yuan
Yifei Yuan
Jiang Qian
Jiang Qian
A Novel and Easy-to-Promote Prognostic Model for Patients With Uveal Melanoma
Frontiers in Oncology
uveal melanoma (UM)
prognostic model
nomogram
survival probabilities
external validation
title A Novel and Easy-to-Promote Prognostic Model for Patients With Uveal Melanoma
title_full A Novel and Easy-to-Promote Prognostic Model for Patients With Uveal Melanoma
title_fullStr A Novel and Easy-to-Promote Prognostic Model for Patients With Uveal Melanoma
title_full_unstemmed A Novel and Easy-to-Promote Prognostic Model for Patients With Uveal Melanoma
title_short A Novel and Easy-to-Promote Prognostic Model for Patients With Uveal Melanoma
title_sort novel and easy to promote prognostic model for patients with uveal melanoma
topic uveal melanoma (UM)
prognostic model
nomogram
survival probabilities
external validation
url https://www.frontiersin.org/articles/10.3389/fonc.2022.879394/full
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