Nomogram of uveal melanoma as prediction model of metastasis risk

被引：5
|
作者：
Wang, Yimin [1 ,2 ,3 ,4 ,9 ]
Xie, Minyue [5 ]
Lin, Feng [7 ,8 ]
Sheng, Xiaonan [6 ]
Zhao, Xiaohuan [1 ,2 ,3 ,4 ]
Zhu, Xinyue [1 ,2 ,3 ,4 ]
Wang, Yuwei [1 ,2 ,3 ,4 ]
Lu, Bing [1 ,2 ,3 ,4 ]
Chen, Jieqiong [1 ,2 ,3 ,4 ]
Zhang, Ting [1 ,2 ,3 ]
Wan, Xiaoling [1 ,2 ,3 ]
Liu, Wenjia [1 ,2 ,3 ,4 ,10 ]
Sun, Xiaodong [1 ,2 ,3 ,4 ]
机构：
[1] Shanghai Jiao Tong Univ, Shanghai Gen Hosp, Sch Med, Shanghai, Peoples R China
[2] Natl Clin Res Ctr Eye Dis, Shanghai, Peoples R China
[3] Shanghai Key Lab Ocular Fundus Dis, Shanghai, Peoples R China
[4] Shanghai Engn Ctr Visual Sci & Photomed, Shanghai, Peoples R China
[5] Capital Med Univ, Beijing Tongren Hosp, Beijing, Peoples R China
[6] Shanghai Jiao Tong Univ, Renji Hosp, Sch Med, Dept Breast Surg, Shanghai, Peoples R China
[7] Fudan Univ, Eye & ENT Hosp, Eye Inst, Shanghai, Peoples R China
[8] Fudan Univ, Eye & ENT Hosp, Dept Ophthalmol, Shanghai, Peoples R China
[9] Fudan Univ, Zhongshan Hosp, Dept Ophthalmol, Shanghai, Peoples R China
[10] Shanghai Jiao Tong Univ, Shanghai Gen Hosp, Sch Med, Dept Ophthalmol, 100 Hai Ning Rd, Shanghai 200080, Peoples R China
来源：
HELIYON | 2023年 / 9卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Uveal melanoma; Nomogram; ATLAS TCGA CLASSIFICATION; PHOSPHATASE; MUTATIONS; PROGNOSIS; SEROTONIN; MIGRATION; GNA11;
D O I：
10.1016/j.heliyon.2023.e18956
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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.
引用
收藏
页数：10
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