Gene expression profiling for the diagnosis and prognosis of acute myeloid leukaemia

10.2741/3026 ◽  
2008 ◽  
Vol Volume (13) ◽  
pp. 4605 ◽  
Author(s):  
Ken Mills
Keyword(s):  
Gene Expression ◽  
Acute Myeloid Leukaemia ◽  
Gene Expression Profiling ◽  
Myeloid Leukaemia ◽  
Expression Profiling ◽  
Diagnosis And Prognosis ◽  
Acute Myeloid

Gene expression profiling of Polycomb, Hox and Meis genes in patients with acute myeloid leukaemia

2008 ◽  
Vol 81 (2) ◽  
pp. 112-122 ◽  
Author(s):  
Lykke Grubach ◽  
Caroline Juhl-Christensen ◽  
Anita Rethmeier ◽  
Lene Hyldahl Olesen ◽  
Anni Aggerholm ◽  
...  
Keyword(s):  
Gene Expression ◽  
Acute Myeloid Leukaemia ◽  
Gene Expression Profiling ◽  
Myeloid Leukaemia ◽  
Expression Profiling ◽  
Acute Myeloid

Gene expression profiling in acute myeloid leukaemia (AML)

2009 ◽  
Vol 22 (2) ◽  
pp. 169-180 ◽  
Author(s):  
Ulrike Bacher ◽  
Alexander Kohlmann ◽  
Claudia Haferlach ◽  
Torsten Haferlach
Keyword(s):  
Gene Expression ◽  
Acute Myeloid Leukaemia ◽  
Gene Expression Profiling ◽  
Myeloid Leukaemia ◽  
Expression Profiling ◽  
Acute Myeloid

scholarly journals Gene expression profiling in normal cytogenetic acute myeloid leukaemia of Malay patient

2021 ◽  
Vol 20 (3) ◽  
pp. 556-562
Author(s):  
Najah Kamarudin ◽  
Imilia Ismail ◽  
Rosline Hassan ◽  
Muhammad Farid Johan ◽  
Marini Ramli
Keyword(s):  
Gene Expression ◽  
Acute Myeloid Leukaemia ◽  
Myeloid Leukaemia ◽  
Expression Profiling ◽  
Medical Science ◽  
Newly Diagnosed ◽  
Significant Difference ◽  
Age Range ◽  
Pan Cancer ◽  
Acute Myeloid

Background: Insight into recent molecular analyses of patients with acute myeloid leukaemia (AML) and a normal cytogenetic have revealed a striking heterogeneity with regard to the presence of acquired changes in gene expression. Nano String technology which is aimed to identify descriptive profiling of normal cytogenetic AML in differentially expressed genes involved in the different pathways in normal cytogenetic AML patients. Materials and method: Blood samples were obtained from eight at diagnosis patients with normal cytogenetics AML, two follow-up patients and two normal healthy controls prior to RNA extractions. RNA gene expression assay was performed using Nano Stringn Counter® Pan Cancer Pathway Panel (Nanostring Technologies, Seattle, Washington). Briefly, 100 ng of each total RNA sample was used as input into then Counter Pan Cancer Pathway Panel sample preparation. Data was extracted using then Counter RCC Collector and raw data output was imported into nSolver v2.6 analysis software for data analysis. Results: The age range was from 13-69 years, with a median age-range of 41 years. We found the most enriched up regulated genes in newly diagnosed normal cytogenetic AML enlisted MPO (7.25 log FC), FLT3 (5.02 log FC), MYCN (4.99 log FC), MYB (4.74 log FC), ITGA9 (4.48 log FC), KIT (4.41 log FC), MCM2 (3.47 log FC), RAD51 (3.40 log FC), CCNA2 (3.37 log FC) and PROM1 (3.24 log FC) which those commonly be found in AML cases. For highly expressed down regulated genes were GZMB (-5.80 log FC), IL8 (-5.79 log FC), TNFRSFSF10C (-5.03 log FC), LEF1 (-4.82 log FC), IL2RB (-4.70 log FC), IL7R (-4.44 log FC), BCL2A1 (-4.15 log FC), RASGRP1 (-4.13 log FC), IL1R2 (-4.00 log FC) and HSPA6 (-3.99 log FC). Discussion and conclusion: Nano String required smaller amounts of starting material, and can perform mRNA expression profiling with digital precision, therefore the results do not require further validation by another method. MPO expression was significantly associated with disease-free survival (DFS). Previous report demonstrated that the groups by the MPO expression in the intermediate cytogenetic risk group showed a significant difference in DFS (p<0.001). A study by Valk et al., (2004) showed FLT3, a hematopoietic growth factor receptor, is the most common molecular abnormality in AML. The presence of such mutations in FLT3 and elevated expression of the transcription factor EVI1 confer a poor prognosis. N-MYC expression levels in AML samples from patients with favorable, intermediate, or unfavorable prognosis were compared with that in CD34+ cells from four healthy bone marrow donors. The most highly down regulated gene in newly diagnosed AML goes to Granzyme B (GZMB) which involved in cytolytic activity that showed high correlation with other transcripts expressed in activated cytotoxic T lymphocytes (CTLs) and natural killer (NK) cells as well as lymphocyte activation-related gene validating it as a robust and specific metric of active cellular immunity. Increased expression of IL-8 and/or its receptors has been characterized in cancer cells, endothelial cells, infiltrating neutrophils, and tumor-associated macrophages, suggesting that IL-8 may function as a significant regulatory factor within the tumor microenvironment. Bangladesh Journal of Medical Science Vol.20(3) 2021 p.556-562

scholarly journals ENL links histone acetylation to oncogenic gene expression in acute myeloid leukaemia

Nature ◽  
2017 ◽  
Vol 543 (7644) ◽  
pp. 265-269 ◽  
Author(s):  
Liling Wan ◽  
Hong Wen ◽  
Yuanyuan Li ◽  
Jie Lyu ◽  
Yuanxin Xi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Acute Myeloid Leukaemia ◽  
Histone Acetylation ◽  
Myeloid Leukaemia ◽  
Oncogenic Gene ◽  
Acute Myeloid

Gene expression profiling in human cardiovascular disease

2005 ◽  
Vol 43 (7) ◽  
Author(s):  
Marja Steenman ◽  
Guillaume Lamirault ◽  
Nolwenn Le Meur ◽  
Jean J. Léger
Keyword(s):  
Gene Expression ◽  
Cardiovascular Disease ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Large Scale ◽  
Transcriptional Analysis ◽  
Diagnosis And Prognosis ◽  
Disease Markers ◽  
Clinical Tools ◽  
Further Development

AbstractGene expression profiling studies in human diseases have allowed better understanding of pathophysiological processes. In addition, they may lead to the development of new clinical tools to improve diagnosis and prognosis of patients. Most of these studies have been successfully performed for human cancers. Inspired by these results, researchers in the cardiovascular field have also started using large-scale transcriptional analysis to better understand and classify human cardiovascular disease. Here we provide an overview of the literature revealing new cardiac disease markers and encouraging results for further development of the expression profiling strategy for future clinical applications in cardiology.

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