| Autor: |
Magi A; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.; Department of Information Engineering, University of Florence, Florence, Italy., Masselli M; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy., Sala C; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy., Guerriero A; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.; Department of Information Engineering, University of Florence, Florence, Italy., Laise P; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.; Department of Systems Biology, Columbia University, New York, New York, USA., Puccini B; Hematology Department, Azienda Ospedaliero Universitaria Careggi AOUC, Florence, Italy., Rigacci L; Hematology Department, Azienda Ospedaliero Universitaria Careggi AOUC, Florence, Italy., Breschi C; Hemato-oncology unit, Ospedale San Jacopo, Pistoia, Italy., Crociani O; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy., Pillozzi S; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy., Arcangeli A; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy. annarosa.arcangeli@unifi.it. |
| Abstrakt: |
The definition of the gene expression profile of genes encoding Ion Channels and Transporters (ICT-GEP) represents a novel and attracting aspect in cancer. We determined the ICT-GEP of Follicular Lymphoma (FL), and compared it with that of the more aggressive Diffuse Large B Cell Lymphoma (DLBCL). cDNA microarray data were collected both from patients enrolled for this study, and from public datasets. In FL the ICT-GEP indicated the overexpression of both the K + channel encoding gene KCNN4, and SLC2A1, which encodes the Glut1 glucose transporter. SLC2A1 turned out to represent the hub of a functional network, connecting channels and transporters in FL. Relapsed FL patients were characterised by 38 differentially expressed ICT genes, among which ATP9A, SLC2A1 and KCNN4 were under-expressed, indicating a down-regulation of both excitability and glycolysis. A completely different profile of K + channel encoding genes emerged in DLBCL accompanied by the over-expression of the fatty acid transporter-encoding gene SLC27A1 as well as of the metabolism regulator NCoR1. This indicates a change in excitability and a shift towards an oxidative metabolism in DLBCL. Overall, the ICT-GEP may contribute to identifying novel lymphoma biomarkers related to excitability and metabolic pathways, with particular relevance for drug resistant, relapsed FL. |
