Dowling, Paul, Tierney, Ciara, Dunphy, Katie, Miettinen, Juho J., Heckman, Caroline A., Bazou, Despina and O’Gorman, Peter (2021) Identification of Protein Biomarker Signatures for Acute Myeloid Leukemia (AML) Using Both Nontargeted and Targeted Approaches. Proteomes, 9 (4). p. 42. ISSN 2227-7382
Preview
PaulDowlingProtein2021.pdf
Download (1MB) | Preview
Abstract
Acute myeloid leukemia (AML) is characterized by an increasing number of clonal myeloid
blast cells which are incapable of differentiating into mature leukocytes. AML risk stratification is
based on genetic background, which also serves as a means to identify the optimal treatment of individual patients. However, constant refinements are needed, and the inclusion of significant measurements, based on the various omics approaches that are currently available to researchers/clinicians,
have the potential to increase overall accuracy with respect to patient management. Using both
nontargeted (label-free mass spectrometry) and targeted (multiplex immunoassays) proteomics, a
range of proteins were found to be significantly changed in AML patients with different genetic
backgrounds. The inclusion of validated proteomic biomarker panels could be an important factor
in the prognostic classification of AML patients. The ability to measure both cellular and secreted
analytes, at diagnosis and during the course of treatment, has advantages in identifying transforming
biological mechanisms in patients, assisting important clinical management decisions
Item Type: | Article |
---|---|
Additional Information: | Dowling, P.; Tierney, C.; Dunphy, K.; Miettinen, J.J.; Heckman, C.A.; Bazou, D.; O’Gorman, P. Identification of Protein Biomarker Signatures for Acute Myeloid Leukemia (AML) Using Both Nontargeted and Targeted Approaches. Proteomes 2021, 9, 42. https://doi.org/10.3390/proteomes9040042 |
Keywords: | acute myeloid leukemia; biomarkers; immunoassay; mass spectrometry; proteomics |
Academic Unit: | Faculty of Science and Engineering > Biology Faculty of Science and Engineering > Research Institutes > Human Health Institute |
Item ID: | 17287 |
Identification Number: | 10.3390/proteomes9040042 |
Depositing User: | Paul Dowling |
Date Deposited: | 08 Jun 2023 07:04 |
Journal or Publication Title: | Proteomes |
Publisher: | MDPI |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/17287 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year