Prognostic implication of a ferroptosis-related gene signature associates with immunity in Ewing’s sarcoma

Background: Ewing's sarcoma is an extremely aggressive bone sarcoma in teenagers and adolescents. We managed to identify the potential role of ferroptosis-related genes (FRGs) in Ewing's sarcoma and its clinical prognostic value. Results: A total of 59 common differentially expressed FRGs were screened out. GO/KEGG enrichment and PPI network were executed. Based on 16 prognostic-related FRGs identified by univariate Cox regression in GSE17674, 2 molecular clusters were screened out via NMF consensus. Survival rate and immune infiltration were totally different in two clusters. Subsequently, multivariate/step Cox regression was conducted to identify 7 risk signatures (SLC2A1, PCK2, CHAC1, ATG13, PRKAA2, ARNT, and SIRT1). K-M survival (p = 1.785e-06) and ROC curves (with AUC value 0.816, 0877, 0.919 in 1, 3, 5 years) were plotted to assess the good predictive ability of risk model. ICGC dataset with K-M survival (p = 1.558e-02) and AUC value (0.886, 0.750, 0.709 in 1, 3, 5 years) was used to validate the risk model. Risk score and clinical features (gender, age stage status) were incorporated into a nomogram model. Immune microenvironment (IME) ingredients (ESTIMATE score, immune cells, immune-related pathways, and checkpoint genes) between two risk groups were also explored. High-risk group possessed an activated immune status compared to low-risk group. Finally, prognostic signatures exhibited perfect diagnostic ability in ES occurrence, and several drugs showed IC50 sensitivity to different risk groups. Conclusions: Our study identified 7 prognostic signatures of FRGs and explored related immune infiltration which provided new aspects for future research in Ewing's sarcoma.How to cite: Jiao X, Li Q, Xu X. Prognostic implication of a ferroptosis related gene signature associates with immunity in Ewing’s sarcoma. Electron J Biotechnol 2023;64. https://doi.org/10.1016/j.ejbt.2023.01.004

Integrated analysis reveals potential significance of FKBP5 in the prognosis and immunity of osteoarthritis and pan-cancer

Background: The high disability rate of osteoarthritis (OA), a joint disease with an insidious onset and widespread effects, places a heavy financial burden on patients, families, and society. Traditional diagnostic approaches, including radiology and physical examination, cannot achieve early-stage screening of OA and thus, miss early intervention for patients. Therefore, the need of biomarkers for the early diagnosis of OA is crucial. Results: A total of 390 differentially expressed genes (DEGs) were identified from the training set, and 1077 key module genes were found by constructing a weighted gene co-expression network, and 161 key genes were obtained as a result. Four diagnostic marker genes highly associated with OA were screened for key genes using machine learning algorithms, and the resulting nomogram model showed excellent predictive power and clinical value. After further background studies, immune infiltration and functional enrichment analysis, we found that FKBP5 may play an important role in the prognosis and immune infiltration of multiple cancers, and this hypothesis was verified by pan-cancer analysis. Conclusions: We screened four diagnostic marker genes (FKBP5, EPYC, KLF9 and PDZRN4) that are highly associated with OA. And this led to a diagnostic model, which was assessed to have good predictive power and clinical value. FKBP5 may be a potential intervention target for human diseases such as osteoarthritis and tumors. How to cite: Xiao Y, Wang Y, Xu X, et al. Integrated analysis reveals potential significance of FKBP5 in the prognosis and immunity of osteoarthritis and pan-cancer. Electron J Biotechnol 2023;65. https://doi.org/10.1016/j.ejbt.2023.05.002