An Immune Checkpoint-Related Gene Signature for Predicting Survival of Pediatric Acute Myeloid Leukemia

Objective. The aim of this research was to create a new genetic signature of immune checkpoint-associated genes as a prognostic method for pediatric acute myeloid leukemia (AML). Methods. Transcriptome profiles and clinical follow-up details were obtained in Therapeutically Applicable Research to Ge...

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Published inJournal of oncology Vol. 2021; pp. 5550116 - 14
Main Authors Jiang, Feng, Wang, Xin-Yu, Wang, Ming-Yan, Mao, Yan, Miao, Xiao-Lin, Wu, Chu-Yan, Zhou, Guo-Ping
Format Journal Article
LanguageEnglish
Published Egypt Hindawi 2021
John Wiley & Sons, Inc
Hindawi Limited
Subjects
Cancer
Cancer therapies
Chemotherapy
Clinical trials
Gene expression
Genes
Genetic aspects
Immune system
Ipilimumab
Leukemia
Medical prognosis
Medical research
Medicine, Experimental
Patients
Pediatrics
RNA
Stem cells
Transplants & implants
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Summary:Objective. The aim of this research was to create a new genetic signature of immune checkpoint-associated genes as a prognostic method for pediatric acute myeloid leukemia (AML). Methods. Transcriptome profiles and clinical follow-up details were obtained in Therapeutically Applicable Research to Generate Effective Treatments (TARGET), a database of pediatric tumors. Secondary data was collected from the Gene Expression Omnibus (GEO) to test the observations. In univariate Cox regression and multivariate Cox regression studies, the expression of immune checkpoint-related genes was studied. A three-mRNA signature was developed for predicting pediatric AML patient survival. Furthermore, the GEO cohort was used to confirm the reliability. A bioinformatics method was utilized to identify the diagnostic and prognostic value. Results. A three-gene (STAT1, BATF, EML4) signature was developed to identify patients into two danger categories depending on their OS. A multivariate regression study showed that the immune checkpoint-related signature (STAT1, BATF, EML4) was an independent indicator of pediatric AML. By immune cell subtypes analyses, the signature was correlated with multiple subtypes of immune cells. Conclusion. In summary, our three-gene signature can be a useful tool to predict the OS in AML patients.
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Academic Editor: Riccardo Masetti
ISSN:1687-8450
1687-8450
1687-8469
DOI:10.1155/2021/5550116