Genomic profiling of Mycosis Fungoides identifies patients at high risk of disease progression.
Léa FléchonInès AribAndrew T HutchinsonLama Hasan Bou IssaRomanos Sklavenitis-PistofidisRemi TilmontChip StewartRomain DuboisStéphanie PoulainMarie-Christine CopinSahir JavedMorgane NudelDoriane CavalieriGuillaume EscureNicolas GowerPaul ChauvetNicolas GazeauCynthia SaadeMarietou Binta ThiamAïcha Ouelkite-OumouchalSilvia GaggeroÉmeline CailliauSarah FaizOlivier CarpentierNicolas DuployezThierry B IdziorekLaurent MortierMartin FigeacClaude PreudhommeBruno QuesnelSuman MitraJudith TrotmanGad GetzIrene M GhobrialSalomon ManierPublished in: Blood advances (2024)
Mycosis fungoides (MF) is the most prevalent primary cutaneous T-cell lymphoma, with an indolent or aggressive course and poor survival. The pathogenesis of MF remains unclear, and prognostic factors in the early stages are not well-established. Here, we characterized the most recurrent genomic alterations using whole-exome sequencing of 67 samples from 48 patients from Lille University Hospital (France), including 18 sequential samples drawn across stages of the malignancy. Genomic data were analyzed on the Broad Institute's Terra bioinformatics platform. We found that gain7q, gain10p15.1 (IL2RA and IL15RA), del10p11.22 (ZEB1), or mutations in JUNB and TET2 are associated with high-risk disease stages. Furthermore, gain7q, gain10p15.1 (IL2RA and IL15RA), del10p11.22 (ZEB1), and del6q16.3 (TNFAIP3) are coupled with shorter survival. Del6q16.3 (TNFAIP3) was a risk factor for progression in low-risk patients. By analyzing the clonal heterogeneity and the clonal evolution of the cohort, we defined different phylogenetic pathways of the disease with acquisition of JUNB, gain10p15.1 (IL2RA and IL15RA), or del12p13.1 (CDKN1B) at progression. These results establish the genomics and clonality of MF and identify potential patients at risk of progression, independent of their clinical stage.
Keyphrases
- prognostic factors
- rheumatoid arthritis
- end stage renal disease
- disease activity
- ejection fraction
- newly diagnosed
- chronic kidney disease
- ankylosing spondylitis
- epithelial mesenchymal transition
- single cell
- peritoneal dialysis
- gene expression
- interstitial lung disease
- patient reported outcomes
- signaling pathway
- free survival
- deep learning
- big data
- human health