| Autor: |
Yucang Shi, Zhanpeng Li, Zhihong Zhou, Simu Liao, Zhiyuan Wu, Jie Li, Jiasheng Yin, Meng Wang, Meilan Weng |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
PeerJ, Vol 10, p e12646 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2167-8359 |
| DOI: |
10.7717/peerj.12646 |
| Popis: |
Background We aimed to construct a novel epithelial-mesenchymal transition (EMT)-related gene pairs (ERGPs) signature to predict overall survival (OS) in skin cutaneous melanoma (CM) patients. Methods Expression data of the relevant genes, corresponding clinicopathological parameters, and follow-up data were obtained from The Cancer Genome Atlas database. Univariate Cox regression analysis was utilized to identify ERGPs significantly associated with OS, and LASSO analysis was used to identify the genes used for the construction of the ERGPs signature. The optimal cutoff value determined by the receiver operating characteristic curve was used to classify patients into high-risk and low-risk groups. Survival curves were generated using the Kaplan–Meier method, and differences between the two groups were estimated using the log-rank test. The independent external datasets GSE65904 and GSE19234 were used to verify the performance of the ERGPs signature using the area under the curve (AUC) values. In addition, we also integrated clinicopathological parameters and risk scores to develop a nomogram that can individually predict the prognosis of patients with CM. Results A total of 104 ERGPs related to OS were obtained, of which 21 ERGPs were selected for the construction of the signature. All CM patients were stratified into high-and low-risk groups based on an optimal risk score cutoff value of 0.281. According to the Kaplan–Meier analysis, the mortality rate in the low-risk group was lower than that in the high-risk group in the TCGA cohort (P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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