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; 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

页数：10

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