You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Integrating a prospective pilot trial and patient-derived xenografts to trace metabolic changes associated with acute myeloid leukemia
|
|---|---|
| Published in |
Journal of Hematology & Oncology, October 2016
|
| DOI | 10.1186/s13045-016-0346-2 |
| Pubmed ID | |
| Authors |
Matteo G. Carrabba, Laurette Tavel, Giacomo Oliveira, Alessandra Forcina, Giacomo Quilici, Francesca Nardelli, Cristina Tresoldi, Alessandro Ambrosi, Fabio Ciceri, Massimo Bernardi, Luca Vago, Giovanna Musco |
| Abstract |
Despite the considerable progress in understanding the molecular bases of acute myeloid leukemia (AML), new tools to link disease biology to the unpredictable patient clinical course are still needed. Herein, high-throughput metabolomics, combined with the other "-omics" disciplines, holds promise in identifying disease-specific and clinically relevant features.In this study, we took advantage of nuclear magnetic resonance (NMR) to trace AML-associated metabolic trajectory employing two complementary strategies. On the one hand, we performed a prospective observational clinical trial to identify metabolic changes associated with blast clearance during the first two cycles of intensive chemotherapy in nine adult patients. On the other hand, to reduce the intrinsic variability associated with human samples and AML genetic heterogeneity, we analyzed the metabolic changes in the plasma of immunocompromised mice upon engraftment of primary human AML blasts.Combining the two longitudinal approaches, we narrowed our screen to seven common metabolites, for which we observed a mirror-like trajectory in mice and humans, tracing AML progression and remission, respectively. We interpreted this set of metabolites as a dynamic fingerprint of AML evolution.Overall, these NMR-based metabolomic data, to be consolidated in larger cohorts and integrated in more comprehensive system biology approaches, hold promise for providing valuable and non-redundant information on the systemic effects of leukemia. |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 29% |
| Student > Ph. D. Student | 4 | 19% |
| Other | 2 | 10% |
| Student > Postgraduate | 2 | 10% |
| Student > Master | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 29% |
| Medicine and Dentistry | 4 | 19% |
| Environmental Science | 1 | 5% |
| Philosophy | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 5 | 24% |