Investigation of distinct gene expression profile patterns that can improve the classification of intermediate-risk prognosis in AML patients

Simple item page
dc.contributor.authorEshibona, Nasr
dc.contributor.authorLivesey, Michelle
dc.contributor.authorChristoffels, Alan
dc.date.accessioned2023-03-15T07:47:49Z
dc.date.available2023-03-15T07:47:49Z
dc.date.issued2023
dc.description.abstractAcute myeloid leukemia (AML) is a heterogeneous type of blood cancer that generally affects the elderly. AML patients are categorized with favorable-, intermediate-, and adverse-risks based on an individual’s genomic features and chromosomal abnormalities. Despite the risk stratification, the progression and outcome of the disease remain highly variable. To facilitate and improve the risk stratification of AML patients, the study focused on gene expression profiling of AML patients within various risk categories. Therefore, the study aims to establish gene signatures that can predict the prognosis of AML patients and find correlations in gene expression profile patterns that are associated with risk groups. Microarray data were obtained from Gene Expression Omnibus (GSE6891). The patients were stratified into four subgroups based on risk and overall survival. Limma was applied to screen for differentially expressed genes (DEGs) between short survival (SS) and long survival (LS). DEGs strongly related to general survival were discovered using Cox regression and LASSO analysis. To assess the model’s accuracy, Kaplan-Meier (K-M) and receiver operating characteristic (ROC) were used.en_US
dc.identifier.citationEshibona, N. et al. (2023). Investigation of distinct gene expression profile patterns that can improve the classification of intermediate-risk prognosis in AML patients. Frontiers in Genetics, 14, 1131159.en_US
dc.identifier.issn1664-8021
dc.identifier.urihttps://doi.org/10.3389/fgene.2023.1131159
dc.identifier.urihttp://hdl.handle.net/10566/8585
dc.language.isoenen_US
dc.publisherFrontiers Mediaen_US
dc.subjectBioinformaticsen_US
dc.subjectLeukemiaen_US
dc.subjectCanceren_US
dc.subjectPatienten_US
dc.subjectGeneticsen_US
dc.titleInvestigation of distinct gene expression profile patterns that can improve the classification of intermediate-risk prognosis in AML patientsen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
eshibona_investigation of distinct gene expression profile_2023.pdf
Size:
3.2 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Research Articles (SANBI)