机构：[1]Shanghai General Hospital,Shanghai Jiao Tong University School of Medicine, China[2]National Clinical Research Center for Eye Disease, China[3]Shanghai Key Laboratory of Ocular Fundus Diseases, China[4]Shanghai Engineering Center for Visual Science and Photomedicine, China[5]Beijing Tongren Hospital, Capital Medical University, China首都医科大学附属北京同仁医院首都医科大学附属同仁医院[6]Department of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China[7]Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, China[8]Department of Ophthalmology, Zhongshan Hospital, Fudan University, Shanghai, China
Background: Since the poor prognosis of uveal melanoma with distant metastasis, we intended to
screen out possible biomarkers for uveal melanoma metastasis risk and establish a nomogram
model for predicting the risk of uveal melanoma (UVM) metastasis.
Methods: Two datasets of UVM (GSE84976, GSE22138) were selected. Data was analyzed by R
language, CTD database and GEPIA.
Results: The co-upregulated genes of two datasets, HTR2B, CHAC1, AHNAK2, and PTP4A3 were
identified using a Venn diagram. These biomarkers are combined with clinical characteristics, and
Lasso regression was conducted to filter the metastasis-related biomarkers. HTR2B, CHAC1,
AHNAK2, PTP4A3, tumor thickness, and retinal detachment (RD) were selected to establish the
nomogram.
Conclusion: Our study provides a comprehensive predictive model and personalized risk estimation tool for assessment of 3-year metastasis risk of UVM with a better accuracy.
基金：
National Natural Science Foundation of China (81730026, 82171076) National Science and
Technology Major Project (2017YFA0105301), Science and Technology Commission of Shanghai Municipality (20Z11900400) Supported by Shanghai Hospital Development Center (SHDC2020CR2040B, SHDC2020CR5014), Shanghai Sailing Program
(22YF1435500).
第一作者机构：[1]Shanghai General Hospital,Shanghai Jiao Tong University School of Medicine, China[2]National Clinical Research Center for Eye Disease, China[3]Shanghai Key Laboratory of Ocular Fundus Diseases, China[4]Shanghai Engineering Center for Visual Science and Photomedicine, China[8]Department of Ophthalmology, Zhongshan Hospital, Fudan University, Shanghai, China
共同第一作者：
通讯作者：
通讯机构：[1]Shanghai General Hospital,Shanghai Jiao Tong University School of Medicine, China[2]National Clinical Research Center for Eye Disease, China[3]Shanghai Key Laboratory of Ocular Fundus Diseases, China[4]Shanghai Engineering Center for Visual Science and Photomedicine, China[*1]Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Hai Ning Road, Shanghai 200080, PR China.
推荐引用方式(GB/T 7714)：
Wang Yimin,Xie Minyue,Lin Feng,et al.Nomogram of uveal melanoma as prediction model of metastasis risk[J].HELIYON.2023,9(8):e18956.doi:10.1016/j.heliyon.2023.e18956.
APA：
Wang Yimin,Xie Minyue,Lin Feng,Sheng Xiaonan,Zhao Xiaohuan...&Sun Xiaodong.(2023).Nomogram of uveal melanoma as prediction model of metastasis risk.HELIYON,9,(8)
MLA：
Wang Yimin,et al."Nomogram of uveal melanoma as prediction model of metastasis risk".HELIYON 9..8(2023):e18956
