200
Views
1
CrossRef citations to date
0
Altmetric
Articles

Identification of the Integrated Prognostic Signature Associated with Immuno-relevant Genes and Long Non-coding RNAs in Acute Myeloid Leukemia

, , ORCID Icon, , , , , , , , & show all
Pages 663-674 | Received 20 Jan 2022, Accepted 27 Jun 2022, Published online: 11 Jul 2022
 

Abstract

Background

Like other cancers, considerable effort has been made in acute myeloid leukemia (AML) to identify prognostic genes and long noncoding RNAs (lncRNAs) with their potential clinical applications. However, to date, no integrated prognostic model has been developed that combines both gene expression and lncRNAs as a singular approach in AML.

Method

Comprehensive bioinformatic approaches (Weighted gene co-expression network analysis, Univariate Cox regression analyses, Pearson correlation, LASSO-Cox regression, Wilcoxon test) were used to construct the signature and to define high- and low-risk groups in AML datasets. ESTIMATE and CIBERSORT algorithms were applied to investigate the potential impact of infiltrating immune cells based on the obtained signature in tumor microenvironment. In addition, gene ontology (GO) and KEGG enrichment were applied to explore the potential function of the signature.

Results

Herein, we focused on immune-related genes (IRGs) and immune-related long noncoding RNAs (IRlncRNAs) and constructed an integrated prognostic immunorelevant signature in AML. The obtained signature exhibit five IRGs (DAXX, PSMB8, CSRP1, RAC2 and PTPN6) and one IRlncRNA (AC080037.2) and is strictly associated with age and FAB (French–American–British classification). Importantly, the high-risk AML group (defined by the signature) correlated positively with three types of scores (immune score, stroma score, and ESTIMATE score). We also identified a few immune cells (resting mast cells and monocytes) potentially involved in the correlation between signature and survival of AML patients. The prognostic ability of the obtained signature was tested in the training cohort and then validated in both test and total cohorts. The pathway enrichment analysis confirmed the possible immune- related role of the signature.

Conclusion

We constructed an integrated prognostic signature comprising five immune-related protein-coding genes (IRPCG) (DAXX, PSMB8, CSRP1, RAC2, and PTPN6) and one immune-related lncRNA (AC080037.2) that may serve as potential biomarkers for predicting survival and further stratifying AML patients.

Author contributions

Conceptualization, C.Z., Y.W., and F.T.; statistical analysis, Y.W and C.Z; formal analysis, Y.W, C.Z and A.S; writing—original draft preparation, Y.W, A.S. and C.Z.; writing—review and editing, all co-authors; supervision, C.Z., Z.W., Y.W., Y.W., P.L., J.L., X.Z., I.G.H.S-W; project administration, F.T. All authors have read and agreed to the published version of the manuscript.

Declaration of Interest

The authors declare that there is no conflict of interest regarding the publication of this paper.

Data availability statement

The data set in this study can be found in the https://xenabrowser.net/datapages/. The TCGA-LAML dataset is GDC TCGA Acute Myeloid Leukemia (LAML) (15 datasets).

Additional information

Funding

This research received no external funding.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,193.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.