Extranodal natural killer/T-cell lymphoma nasal type in a western population: Molecular profiling identifies new therapeutic targets.
Eva González-BarcaLaura Tomás-RocaAnna EsteveMarta RodriguezLucía GatoRuth Alonso-AlonsoAlejandro Martin Garcia-SanchoRaul CordobaAnna Monter-RoviraMariana Bastos-OreiroJuan Miguel Bergua BurguesMaria Jose SayasMaría Cruz ViguriaJose Javier Sanchez-BlancoMonica Roig PellicerHugo Daniel Luzardo HenriquezRaquel de OñaMaria Elena CabezudoMaria Stefania InfanteJosé Antonio Queizán HernándezRebeca Sanz-PamplonaOscar BlancoAna MozosFina ClimentMiguel Angel PirisPublished in: American journal of hematology (2023)
(A) Correlation matrix of unsupervised co-regulated genes, based on the 208 genes included in the NanoString platform. Some of the clusters of co-regulated genes corresponded to the following: Inflammatory cells; Epstein-Barr virus; B-cells; Cytotoxic T-cells; T-cells; and Proliferation. (B) Analysis of genomic alterations by targeted sequencing. Distribution of mutations in the 62 analyzed genes. Rows correspond to sequenced genes, columns represent individual patients. Color coding: green, missense; blue, synonymous; pink, frameshift; violet, Indel; red, stop gained; yellow, UTR.
Keyphrases
- genome wide
- epstein barr virus
- bioinformatics analysis
- genome wide identification
- end stage renal disease
- newly diagnosed
- transcription factor
- dna methylation
- chronic kidney disease
- single cell
- signaling pathway
- diffuse large b cell lymphoma
- machine learning
- genome wide analysis
- induced apoptosis
- ejection fraction
- copy number
- gene expression
- high throughput
- prognostic factors
- cell cycle arrest
- south africa
- peritoneal dialysis
- cell proliferation
- patient reported outcomes
- drug delivery
- cell death
- single molecule