| Title |
Association between gene and miRNA expression profiles and stereotyped subset #4 B-cell receptor in chronic lymphocytic leukemia
|
|---|---|
| Published in |
Leukemia & Lymphoma, May 2015
|
| DOI | 10.3109/10428194.2015.1028051 |
| Pubmed ID | |
| Authors |
Francesco Maura, Giovanna Cutrona, Laura Mosca, Serena Matis, Marta Lionetti, Sonia Fabris, Luca Agnelli, Monica Colombo, Carlotta Massucco, Manuela Ferracin, Barbara Zagatti, Daniele Reverberi, Massimo Gentile, Anna Grazia Recchia, Sabrina Bossio, Davide Rossi, Gianluca Gaidano, Stefano Molica, Agostino Cortelezzi, Francesco Di Raimondo, Massimo Negrini, Pierfrancesco Tassone, Fortunato Morabito, Manlio Ferrarini, Antonino Neri |
| Abstract |
In this study we investigated specific biological and clinical features associated with chronic lymphocytic leukemia (CLL) patients carrying stereotyped BCR subset #4 (IGHV4-34) among a prospective cohort of 462 CLL/MBL patients in early stage (Binet A). All subset #4 patients (n=16) were characterized by the IGHV mutated gene configuration, and absence of unfavorable cytogenetic lesions, NOTCH1 or SF3B1 mutations. Gene and miRNA expression profiling evidenced that the leukemic cells of subset #4 cases showed significant downregulation of WDFY4, MF2A and upregulation of PDGFA, FGFR1 and TFEC gene transcripts, as well as the upregulation of miR-497 and miR-29c. The transfection of miR-497 mimic in primary leukemic CLL cells induced a downregulation of BCL2, a known validated target of this miRNA. Our data identify biological characteristics associated with subset #4 patients, providing further evidence for the putative role of BCR in shaping the features of the tumor cells in CLL. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 41 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 24% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Master | 4 | 10% |
| Other | 3 | 7% |
| Student > Doctoral Student | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 10 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 29% |
| Medicine and Dentistry | 8 | 19% |
| Agricultural and Biological Sciences | 4 | 10% |
| Arts and Humanities | 1 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 12 | 29% |