06 October 2020: Database Analysis
Creation of a Prognostic Risk Prediction Model for Lung Adenocarcinoma Based on Gene Expression, Methylation, and Clinical Characteristics
Honggang Ke 1CD* , Yunyu Wu 2DEF* , Runjie Wang 3CDF , Xiaohong Wu 4AB*DOI: 10.12659/MSM.925833
Med Sci Monit 2020; 26:e925833
Table 7 Prognostic time for different risk classification models of the TCGA and GSE37745 dataset.
| Overall survival time (months, mean±SD) | Recurrence-free survival time (months, mean±SD) | ||||
|---|---|---|---|---|---|
| Low-risk | High-risk | Low-risk | High-risk | ||
| TCGA | Gene expression model | 33.64±37.17 | 21.41±17.71 | 28.18±35.04 | 15.79±13.97 |
| Clinic factor model | 29.03±35.46 | 27.01±27.76 | 25.74±32.68 | 19.32±22.79 | |
| Combined model | 33.55±40.09 | 22.33±17.78 | 28.33±35.87 | 16.31±14.57 | |
| GSE37745 | Gene expression model | 68.66±47.08 | 53.69±52.46 | 70.53±57.47 | 37.06±43.82 |
| Clinic factor model | 84.51±62.38 | 54.51±50.67 | 62.53±55.77 | 30.66±39.29 | |
| Combined model | 84.50±62.38 | 54.51±50.69 | 62.53±55.77 | 30.66±39.29 | |
| TCGA – The Cancer Genome Atlas. | |||||