| Literature DB >> 33281116 |
Chunkai Wen1,2, Hongxue Wang1, Han Wang1, Hao Mo3, Wuning Zhong1, Jing Tang1, Yongkui Lu1, Wenxian Zhou1, Aihua Tan1, Yan Liu1, Weimin Xie1.
Abstract
Evidences shows that immune and stroma related genes in the tumour microenvironment (TME) play a key regulator in the prognosis of Osteosarcomas (OSs). The purpose of this study was to develop a TME-related risk model for assessing the prognosis of OSs. 82 OSs cases aged ≤25 years from TARGET were divided into two groups according to the immune/stromal scores that were analyzed by the Estimate algorithm. The differentially expressed genes (DEGs) between the two groups were analyzed and 122 DEGs were revealed. Finally, three genes (COCH, MYOM2 and PDE1B) with the minimum AIC value were derived from 122 DEGs by multivariate cox analysis. The three-gene risk model (3-GRM) could distinguish patients with high risk from the training (TARGET) and validation (GSE21257) cohort. Furthermore, a nomogram model included 3-GRM score and clinical features were developed, with the AUC values in predicting 1, 3 and 5-year survival were 0.971, 0.853 and 0.818, respectively. In addition, in the high 3-GRM score group, the enrichment degrees of infiltrating immune cells were significantly lower and immune-related pathways were markedly suppressed. In summary, this model may be used as a marker to predict survival for OSs patients in adolescent and young adults.Entities:
Keywords: TARGET; osteosarcoma; prognosis; risk model; tumour microenvironment
Mesh:
Substances:
Year: 2020 PMID: 33281116 PMCID: PMC7835013 DOI: 10.18632/aging.202170
Source DB: PubMed Journal: Aging (Albany NY) ISSN: 1945-4589 Impact factor: 5.682