Functional signatures identified in B-cell non-Hodgkin lymphoma profiles.
Gene-expression profiling in B-cell lymphomas has provided crucial data on specific lymphoma types, which can contribute to the identification of essential lymphoma survival genes and pathways. In this study, the gene-expression profiling data of all major B-cell lymphoma types were analyzed by unsupervised clustering. The transcriptome classification so obtained, was explored using gene set enrichment analysis generating a heatmap for B-cell lymphoma that identifies common lymphoma survival mechanisms and potential therapeutic targets, recognizing sets of coregulated genes and functional pathways expressed in different lymphoma types. Some of the most relevant signatures (stroma, cell cycle, B-cell receptor (BCR)) are shared by multiple lymphoma types or subclasses. A specific attention was paid to the analysis of BCR and coregulated pathways, defining molecular heterogeneity within multiple B-cell lymphoma types.
Aggarwal
Mohit
M
Lymphoma Group, Molecular Pathology Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
Sánchez-Beato
Margarita
M
Gómez-López
Gonzalo
G
Al-Shahrour
Fátima
F
Martínez
Nerea
N
Rodríguez
Antonia
A
Ruiz-Ballesteros
Elena
E
Camacho
Francisca I
FI
Pérez-Rosado
Alberto
A
de la Cueva
Paloma
P
Artiga
María J
MJ
Pisano
David G
DG
Kimby
Eva
E
Dopazo
Joaquín
J
Villuendas
Raquel
R
Piris
Miguel A
MA
D000328:Adult; D016000:Cluster Analysis; D020869:Gene Expression Profiling / Q000379:methods; D015973:Gene Expression Regulation, Leukemic; D018740:Genetic Heterogeneity; D006801:Humans; D016393:Lymphoma, B-Cell / Q000235:genetics* / Q000378:metabolism; D009363:Neoplasm Proteins / Q000096:biosynthesis / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis; D012333:RNA, Messenger / Q000096:biosynthesis / Q000235:genetics*; D012334:RNA, Neoplasm / Q000096:biosynthesis / Q000235:genetics*; D014158:Transcription, Genetic
D009363:Neoplasm Proteins; D012333:RNA, Messenger; D012334:RNA, Neoplasm