A Novel 8-Gene Prognostic Signature for Survival Prediction of Uveal Melanoma
Background. Uveal melanoma (UM) has favorable local tumor control, but once metastasis develops, the prognosis is rather poor. Thus, it is urgent to develop metastasis predicting markers. Objective. Our study investigated a novel gene expression-based signature in predicting metastasis for patients...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Analytical Cellular Pathology |
| Online Access: | http://dx.doi.org/10.1155/2021/6693219 |
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| _version_ | 1832549798526320640 |
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| author | Zhongjun Tang Kebo Cai |
| author_facet | Zhongjun Tang Kebo Cai |
| author_sort | Zhongjun Tang |
| collection | DOAJ |
| description | Background. Uveal melanoma (UM) has favorable local tumor control, but once metastasis develops, the prognosis is rather poor. Thus, it is urgent to develop metastasis predicting markers. Objective. Our study investigated a novel gene expression-based signature in predicting metastasis for patients with UM. Methods. In the discovery phase, 63 patients with UM from GEO data set GSE22138 were analyzed using the Weighted Correlation Network Analysis (WGCNA) to identify metastasis-related hub genes. The Least Absolute Shrinkage and Selection Operator (Lasso) Cox regression was used to select candidate genes and build a gene expression signature. In the validation phase, the signature was validated in The Cancer Genome Atlas database. Results. Forty-one genes were identified as hub genes of metastasis by WGCNA. After the Lasso Cox regression analysis, eight genes including RPL10A, EIF1B, TIPARP, RPL15, SLC25A38, PHLDA1, TFDP2, and MEGF10 were highlighted as candidate predictors. The gene expression signature for UM (UMPS) could independently predict MFS by univariate and multivariate Cox regression analysis. Incorporating UMPS increased the AUC of the traditional clinical model. In the validation cohort, UMPS performed well in predicting the MFS of UM patients. Conclusions. UMPS, an eight-gene-based signature, is useful in predicting prognosis for patients with UM. |
| format | Article |
| id | doaj-art-64dc9f5c491d4802a692ff03a9a36c69 |
| institution | Kabale University |
| issn | 2210-7177 2210-7185 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Analytical Cellular Pathology |
| spelling | doaj-art-64dc9f5c491d4802a692ff03a9a36c692025-02-03T06:08:34ZengWileyAnalytical Cellular Pathology2210-71772210-71852021-01-01202110.1155/2021/66932196693219A Novel 8-Gene Prognostic Signature for Survival Prediction of Uveal MelanomaZhongjun Tang0Kebo Cai1Department of Ophthalmology, Minhang Hospital, Fudan University, Shanghai, ChinaDepartment of Ophthalmology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaBackground. Uveal melanoma (UM) has favorable local tumor control, but once metastasis develops, the prognosis is rather poor. Thus, it is urgent to develop metastasis predicting markers. Objective. Our study investigated a novel gene expression-based signature in predicting metastasis for patients with UM. Methods. In the discovery phase, 63 patients with UM from GEO data set GSE22138 were analyzed using the Weighted Correlation Network Analysis (WGCNA) to identify metastasis-related hub genes. The Least Absolute Shrinkage and Selection Operator (Lasso) Cox regression was used to select candidate genes and build a gene expression signature. In the validation phase, the signature was validated in The Cancer Genome Atlas database. Results. Forty-one genes were identified as hub genes of metastasis by WGCNA. After the Lasso Cox regression analysis, eight genes including RPL10A, EIF1B, TIPARP, RPL15, SLC25A38, PHLDA1, TFDP2, and MEGF10 were highlighted as candidate predictors. The gene expression signature for UM (UMPS) could independently predict MFS by univariate and multivariate Cox regression analysis. Incorporating UMPS increased the AUC of the traditional clinical model. In the validation cohort, UMPS performed well in predicting the MFS of UM patients. Conclusions. UMPS, an eight-gene-based signature, is useful in predicting prognosis for patients with UM.http://dx.doi.org/10.1155/2021/6693219 |
| spellingShingle | Zhongjun Tang Kebo Cai A Novel 8-Gene Prognostic Signature for Survival Prediction of Uveal Melanoma Analytical Cellular Pathology |
| title | A Novel 8-Gene Prognostic Signature for Survival Prediction of Uveal Melanoma |
| title_full | A Novel 8-Gene Prognostic Signature for Survival Prediction of Uveal Melanoma |
| title_fullStr | A Novel 8-Gene Prognostic Signature for Survival Prediction of Uveal Melanoma |
| title_full_unstemmed | A Novel 8-Gene Prognostic Signature for Survival Prediction of Uveal Melanoma |
| title_short | A Novel 8-Gene Prognostic Signature for Survival Prediction of Uveal Melanoma |
| title_sort | novel 8 gene prognostic signature for survival prediction of uveal melanoma |
| url | http://dx.doi.org/10.1155/2021/6693219 |
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