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Nomogram of uveal melanoma as prediction model of metastasis risk.
Wang, Yimin; Xie, Minyue; Lin, Feng; Sheng, Xiaonan; Zhao, Xiaohuan; Zhu, Xinyue; Wang, Yuwei; Lu, Bing; Chen, Jieqiong; Zhang, Ting; Wan, Xiaoling; Liu, Wenjia; Sun, Xiaodong.
Afiliación
  • Wang Y; Shanghai General Hospital,Shanghai Jiao Tong University School of Medicine, China.
  • Xie M; National Clinical Research Center for Eye Disease, China.
  • Lin F; Shanghai Key Laboratory of Ocular Fundus Diseases, China.
  • Sheng X; Shanghai Engineering Center for Visual Science and Photomedicine, China.
  • Zhao X; Department of Ophthalmology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Zhu X; Beijing Tongren Hospital, Capital Medical University, China.
  • Wang Y; Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, China.
  • Lu B; Department of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, PR China.
  • Chen J; Shanghai General Hospital,Shanghai Jiao Tong University School of Medicine, China.
  • Zhang T; National Clinical Research Center for Eye Disease, China.
  • Wan X; Shanghai Key Laboratory of Ocular Fundus Diseases, China.
  • Liu W; Shanghai Engineering Center for Visual Science and Photomedicine, China.
  • Sun X; Shanghai General Hospital,Shanghai Jiao Tong University School of Medicine, China.
Heliyon ; 9(8): e18956, 2023 Aug.
Article en En | MEDLINE | ID: mdl-37609406
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Heliyon Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Heliyon Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido