AUTHOR=Chen Panpan , Gao Guanfei , Xu Yuanlin , Jia Peijun , Li Yan , Li Yating , Cao Jiaming , Du Jiangfeng , Zhang Shijie , Zhang Jingxin 

TITLE=Novel gene signature reveals prognostic model in acute lymphoblastic leukemia

JOURNAL=Frontiers in Cell and Developmental Biology

VOLUME=Volume 10 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/cell-and-developmental-biology/articles/10.3389/fcell.2022.1036312

DOI=10.3389/fcell.2022.1036312

ISSN=2296-634X

ABSTRACT=Acute lymphoblastic leukemia (ALL) is a malignant disease of abnormal proliferation of lymphocytes in bone marrow and has a poor prognosis. In our study, we aimed to identify the significant genes closely related to ALL and construct a prognostic model  for predicting the prognosis of ALL. We obtained RNA-seq data of ALL samples from the GDC TARGET database. Differentially expressed genes (DEGs) were identified using the “DESeq” package of R software. Univariate and multivariate cox regression analyses were used to screen out the prognostic genes of ALL. Cox regression analyses results showed that the risk score was an independent prognostic factor [hazard ratio (HR) = 2.782, 95% CI = 1.903–4.068, P < 0.001]. The area under curve (AUC) for the risk score was 0.864 in receiver operating characteristic (ROC) analysis. Our study evaluated a potential prognostic signature with six genes and constructed a risk model significantly related to the prognosis of ALL patients. Findings from this study may help clinicians adjust treatment plans in a timely manner to differentiate patients with good and poor prognosis for targeted treatment.