Advances in multiple omics of natural-killer/T cell lymphoma.
Jie XiongWei-Li ZhaoPublished in: Journal of hematology & oncology (2018)
Natural-killer/T cell lymphoma (NKTCL) represents the most common subtype of extranodal lymphoma with aggressive clinical behavior. Prevalent in Asians and South Americans, the pathogenesis of NKTCL remains to be fully elucidated. Using system biology techniques including genomics, transcriptomics, epigenomics, and metabolomics, novel biomarkers and therapeutic targets have been revealed in NKTCL. Whole-exome sequencing studies identify recurrent somatic gene mutations, involving RNA helicases, tumor suppressors, JAK-STAT pathway molecules, and epigenetic modifiers. Another genome-wide association study reports that single nucleotide polymorphisms mapping to the class II MHC region on chromosome 6 contribute to lymphomagenesis. Alterations of oncogenic signaling pathways janus kinase-signal transducer and activator of transcription (JAK-STAT), nuclear factor-κB (NF-κB), mitogen-activated protein kinase (MAPK), WNT, and NOTCH, as well as epigenetic dysregulation of microRNA and long non-coding RNAs, are also frequently observed in NKTCL. As for metabolomic profiling, abnormal amino acids metabolism plays an important role on disease progression of NKTCL. Of note, through targeting multiple omics aberrations, clinical outcome of NKTCL patients has been significantly improved by asparaginase-based regimens, immune checkpoints inhibitors, and histone deacetylation inhibitors. Future investigations will be emphasized on molecular classification of NKTCL using integrated analysis of system biology, so as to optimize targeted therapeutic strategies of NKTCL in the era of precision medicine.
Keyphrases
- nuclear factor
- single cell
- signaling pathway
- long non coding rna
- dna methylation
- toll like receptor
- genome wide association study
- gene expression
- pi k akt
- copy number
- cell proliferation
- end stage renal disease
- transcription factor
- machine learning
- amino acid
- poor prognosis
- chronic kidney disease
- cancer therapy
- stem cells
- oxidative stress
- high resolution
- emergency department
- tyrosine kinase
- newly diagnosed
- deep learning
- genome wide
- inflammatory response
- drug delivery
- protein kinase
- immune response
- single molecule
- case control