Transcriptomic Analysis in Multiple Myeloma and Primary Plasma Cell Leukemia with t(11;14) Reveals Different Expression Patterns with Biological Implications in Venetoclax Sensitivity.
Katia TodoertiElisa TaianaNoemi PuccioVanessa FavasuliMarta LionettiIlaria SilvestrisMassimo GentilePellegrino MustoFortunato MorabitoUmberto GianelliNiccolo' BolliLuca BaldiniAntonino NeriDomenica RonchettiPublished in: Cancers (2021)
Mechanisms underlying the pathophysiology of primary Plasma Cell Leukemia (pPCL) and intramedullary multiple myeloma (MM) need to be further elucidated, being potentially relevant for improving therapeutic approaches. In such a context, the MM and pPCL subgroups characterized by t(11;14) deserve a focused investigation, as the presence of the translocation is mainly associated with sensitivity to venetoclax. Herein, we investigated a proprietary cohort of MM and pPCL patients, focusing on the transcriptional signature of samples carrying t(11;14), whose incidence increases in pPCL in association with an unfavorable outcome. In addition, we evaluated the expression levels of the BCL2-gene family members and of a panel of B-cell genes recently reported to be associated with sensitivity to venetoclax in MM. Moreover, transcriptional analysis of lncRNAs in the two clinical settings led to the identification of several differentially expressed transcripts, among which the SNGH6 deregulated lncRNA might be relevant in the pathogenesis and prognosis of pPCL with t(11;14). Overall, our data suggest that MMs and pPCLs with t(11;14) might be responsive to venetoclax based on different molecular programs, prompting further studies to elucidate better novel potential predictive biomarkers.
Keyphrases
- multiple myeloma
- chronic lymphocytic leukemia
- poor prognosis
- end stage renal disease
- single cell
- acute myeloid leukemia
- gene expression
- cell therapy
- genome wide identification
- ejection fraction
- bone marrow
- genome wide
- chronic kidney disease
- long non coding rna
- newly diagnosed
- public health
- bioinformatics analysis
- risk factors
- genome wide analysis
- prognostic factors
- stem cells
- cancer therapy
- heat shock
- mass spectrometry
- high resolution
- patient reported