Integrated analysis of transcriptome, methylome and copy number aberrations data of marginal zone lymphoma and follicular lymphoma in dog.
Diana GiannuzziLuca GiudiceLaura MarconatoSerena FerraressoRosalba GiugnoFrancesco BertoniLuca AresuPublished in: Veterinary and comparative oncology (2020)
Marginal zone lymphoma (MZL) and follicular lymphoma (FL) are classified as indolent B-cell lymphomas in dogs. Aside from the clinical and histopathological similarities with the human counterpart, the molecular pathogenesis remains unclear. We integrated transcriptome, genome-wide DNA methylation and copy number aberration analysis to provide insights on the pathogenesis of canine MZL (n = 5) and FL (n = 7), also comparing them with diffuse large B-cell lymphoma (DLBCL). Transcriptome profiling highlighted the presence of similar biological processes affecting both histotypes, including BCR and TLR signalling pathways. However, FLs showed an enrichment of E2F targets, whereas MZLs were characterized by MYC-driven transcriptional activation signatures. FLs showed a distinctive loss on chr1 containing CEACAM23 and 24, conversely MZLs presented multiple recurrent gains on chr13, where MYC is located. The distribution of methylation peaks was similar between the two histotypes. Integrating data from the three omics, FLs resulted clearly separated from MZLs and DLBCL dataset. MZLs showed the enrichment of FoxM1 network and TLR associated TICAM1-dependent IRFs activation pathway. However, no specific signatures differentiated MZLs from DLBCLs. In conclusion, our study presents the first comprehensive analysis of molecular and epigenetic pathogenesis of canine FL and MZL.
Keyphrases
- genome wide
- diffuse large b cell lymphoma
- copy number
- dna methylation
- mitochondrial dna
- gene expression
- epstein barr virus
- toll like receptor
- single cell
- transcription factor
- inflammatory response
- electronic health record
- immune response
- endothelial cells
- big data
- rna seq
- acute lymphoblastic leukemia
- data analysis
- tyrosine kinase
- oxidative stress
- nuclear factor
- heat shock
- hodgkin lymphoma
- artificial intelligence