Your browser doesn't support javascript.
loading
Performance evaluation and clinical impact of the Oncomine Myeloid Research Assay for gene expression analysis in myeloid haematologic malignancies.
Jeon, Min Ji; Yu, Eun Sang; Kim, Dae Sik; Choi, Chul Won; Kim, Ha Nui; Ah Kwon, Jeong; Yoon, Soo-Young; Yoon, Jung.
Afiliação
  • Jeon MJ; Division of Hematology-Oncology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea (the Republic of).
  • Yu ES; Division of Hematology-Oncology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea (the Republic of).
  • Kim DS; Division of Hematology-Oncology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea (the Republic of).
  • Choi CW; Division of Hematology-Oncology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea (the Republic of).
  • Kim HN; Department of Laboratory Medicine, College of Medicine, Korea University, Seoul, Korea (the Republic of).
  • Ah Kwon J; Department of Laboratory Medicine, College of Medicine, Korea University, Seoul, Korea (the Republic of).
  • Yoon SY; Department of Laboratory Medicine, College of Medicine, Korea University, Seoul, Korea (the Republic of).
  • Yoon J; Department of Laboratory Medicine, College of Medicine, Korea University, Seoul, Korea (the Republic of) yoteamoati@naver.com.
J Clin Pathol ; 76(11): 778-783, 2023 Nov.
Article em En | MEDLINE | ID: mdl-35999034
ABSTRACT

AIM:

Gene expression analysis facilitates the detection of diagnostic and prognostic biomarkers for myeloid haematological malignancies. The Oncomine Myeloid Research Assay (OMA; Thermo Fisher Scientific, Massachusetts, USA) provides a comprehensive analysis of gene expression of five target genes, along with gene alteration and fusion. Here, we present the performance of the OMA for gene expression analysis.

METHODS:

In total, 53 RNA samples from patients diagnosed with acute myeloid leukaemia (AML) or myelodysplastic syndrome were included. Of these 53 samples, 3 were evaluated for reproducibility and 50 were evaluated for comparison with RNA-sequencing (RNA-seq). The prognostic impact of the gene expression profile produced by both OMA and RNA-seq in AML was investigated using follow-up data from 33 patients with AML.

RESULTS:

The OMA showed good intrarun and interrun reproducibility. Compared with the RNA-seq results, high correlations were found in BAALC, MECOM and WT1 (all r>0.9), with moderate correlations in MYC (r=0.75, p<0.001) and SMC1A (r=0.42, p=0.002). The agreement between OMA and RNA-seq in classifying the dysregulated expression group was almost perfect, except for SMC1A (κ=0.175). Among these five genes, only BAALC showed a significant clinical impact in patients with AML. Patients with high BAALC expression showed significantly shorter overall survival based on both OMA (p=0.037) and RNA-seq (p=0.003).

CONCLUSIONS:

OMA gene expression analysis offers reproducible and accurate gene expression data for most targeted genes and demonstrates the utility of BAALC expression as a prognostic marker in AML.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Assunto principal: Leucemia Mieloide Aguda / Neoplasias Hematológicas Limite: Humans Idioma: En Revista: J Clin Pathol Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Assunto principal: Leucemia Mieloide Aguda / Neoplasias Hematológicas Limite: Humans Idioma: En Revista: J Clin Pathol Ano de publicação: 2023 Tipo de documento: Article