Peripheral T-cell lymphoma: Molecular profiling recognizes subclasses and identifies prognostic markers.
Marta RodríguezRuth Alonso-AlonsoLaura Tomás-RocaSocorro Maria Rodriguez PinillaRebeca MansoLaura CerecedaJennifer BorregónTeresa VillaescusaRaul CordobaMargarita Sánchez-BeatoIsmael Fernández-MirandaIsabel BetancorCarmen BarcenaJuan F GarcíaManuela MollejoMonica Garcia-CosioPaloma Martín-AcostaFina ClimentMaría Dolores CaballeroLorena de la FuentePablo MínguezLinda KesslerCatherine ScholzAntonio GualbertoRufino MondejarMiguel Angel PirisPublished in: Blood advances (2021)
Peripheral T-cell lymphoma (PTCL) is a clinically aggressive disease, with a poor response to therapy and a low overall survival rate of around 30% after 5 years. We have analyzed a series of 105 cases with a diagnosis of PTCL using a customized NanoString platform that includes 208 genes associated with T-cell differentiation, oncogenes and tumor suppressor genes, deregulated pathways and stromal cell subpopulations. A comparative analysis of the various histological types of PTCL (angioimmunoblastic T-cell lymphoma, AITL; PTCL-with T follicular helper phenotype, PTCL-TFH; PTCL-not otherwise signified, PTCL-NOS) showed that specific sets of genes were associated with each of the diagnoses. These included TFH markers, cytotoxic markers and genes whose expression was a surrogate for specific cellular subpopulations, including follicular dendritic cells, mast cells and genes belonging to precise survival (NF-κB) and other pathways. Furthermore, the mutational profile was analyzed using a custom panel that targeted 62 genes in 76 cases distributed in AITL, PTCL-TFH and PTCL-NOS. The main differences between the three nodal PTCL classes involved the RHOAG17V mutations (p<0.0001), which were approximately twice as frequent in AITL (34.09%) as in PTCL-TFH (16.66%) cases, but were not detected in PTCL-NOS. A multivariate analysis identified gene sets that allowed the series of cases to be stratified into different risk groups. This study supports and validates the current division of PTCL into these three categories, identifies sets of markers that can be used for a more precise diagnosis, and recognizes the expression of B-cell genes as an IPI-independent prognostic factor for AITL.
Keyphrases
- genome wide
- dendritic cells
- genome wide identification
- poor prognosis
- bioinformatics analysis
- dna methylation
- prognostic factors
- immune response
- oxidative stress
- genome wide analysis
- inflammatory response
- copy number
- squamous cell carcinoma
- stem cells
- mesenchymal stem cells
- gene expression
- drug delivery
- long non coding rna
- radiation therapy
- cancer therapy
- transcription factor
- neural network
- breast cancer risk