Construction and validation of a prognostic model for gastrointestinal stromal tumors based on copy number alterations and clinicopathological characteristics

• DOI: 10.3389/fonc.2022.1055174
• Publication Date: 2022-12-21T08:25:52Z
• Authors: Heng Zhao; Nuohan Song; Hao Feng; Qiang Lei; Yingying Zheng; Jing Liu; Chunyan Liu; Zhengbin Chai
• Keywords: Microsatellite Instability; Univariate; Univariate analysis

The increasing incidence of gastrointestinal stromal tumors (GISTs) has led to the discovery more novel prognostic markers. We aim establish an unsupervised model for early prediction prognosis future patients with GISTs and guide clinical treatment.We downloaded dataset through cBioPortal website. extracted information pathological information, including microsatellite instability (MSI) score, fraction genome altered (FGA) tumor mutational burden (TMB), copy number alteration (CNAB), GISTs. For survival analysis, we used univariate Cox regression analyze contribution each factor calculated a hazard ratio (HR) 95% confidence interval (95% CI). clustering groupings, t-distributed stochastic neighbor embedding (t-SNE) method data dimensionality reduction. Subsequently, k-means was analysis.A total 395 individuals were included in study. After reduction t-SNE, all divided into two subgroups. Cluster 1 had worse OS than cluster 2 (HR=3.45, CI, 2.22-5.56, P<0.001). median MSI score 1.09, 0.24, which significantly different (P<0.001). FGA 0.28, higher that In addition, both TMB CNAB those 2, P values less 0.001.Based on CNA GISTs, can be high-risk low-risk groups. group group. established nomogram based clinicopathological characteristics