Nomogram of uveal melanoma as prediction model of metastasis risk

Yimin Wang; Minyue Xie; Feng Lin; Xiaonan Sheng; Xiaohuan Zhao; Xinyue Zhu; Yuwei Wang; Bing Lu; Jieqiong Chen; Ting Zhang; Xiaoling Wan; Wenjia Liu; Xiaodong Sun

doi:10.1016/j.heliyon.2023.e18956

Nomogram of uveal melanoma as prediction model of metastasis risk

Heliyon. 2023 Aug 6;9(8):e18956. doi: 10.1016/j.heliyon.2023.e18956. eCollection 2023 Aug.

Authors

Yimin Wang^{1

2

3

4

5}, Minyue Xie⁶, Feng Lin⁷, Xiaonan Sheng⁸, Xiaohuan Zhao^{1

2

3

4}, Xinyue Zhu^{1

2

3

4}, Yuwei Wang^{1

2

3

4}, Bing Lu^{1

2

3

4}, Jieqiong Chen^{1

2

3

4}, Ting Zhang^{1

2

3}, Xiaoling Wan^{1

2

3}, Wenjia Liu^{1

2

3

4}, Xiaodong Sun^{1

2

3

4}

Affiliations

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 Department of Ophthalmology, Zhongshan Hospital, Fudan University, Shanghai, China.
⁶ Beijing Tongren Hospital, Capital Medical University, China.
⁷ Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, China.
⁸ Department of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China.

Abstract

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.

Keywords: Nomogram; Uveal melanoma.