19 July 2020: Database Analysis
Systematic Profiling of Alternative Splicing for Sarcoma Patients Reveals Novel Prognostic Biomarkers Associated with Tumor Microenvironment and Immune Cells
Chuan Hu 1ABCEF , Yuanhe Wang 1ABC , Chuan Liu 2DEF , Rui Shen 1DE , Bo Chen 3F , Kang Sun 1B , Huili Rao 4C , Lin Ye 3E , Jianjun Ye 3C , Shaoqi Tian 1ABCDEF*DOI: 10.12659/MSM.924126
Med Sci Monit 2020; 26:e924126
Table 4 Multivariate Cox analysis of clinicopathologic factors for sarcoma patients.
| Overall survival | Disease-free survival | |||||||
|---|---|---|---|---|---|---|---|---|
| HR | 95.0% CI | P | HR | 95.0% CI | P | |||
| Risk classification based on AS events | ||||||||
| Low-risk | 0.000 | 0.000 | ||||||
| Mid-risk | 5.192 | 2.599 | 10.371 | 0.000 | 3.537 | 2.084 | 6.006 | 0.000 |
| High-risk | 32.126 | 15.140 | 68.172 | 0.000 | 12.045 | 6.439 | 22.532 | 0.000 |
| Disease multifocal indicator | 3.559 | 1.967 | 6.439 | 0.000 | ||||
| Surgical margin resection status (rother) | 1.665 | 1.114 | 2.489 | 0.013 | ||||
| AS – alternative splicing; HR – hazard ratio. | ||||||||