Histological Subtypes Drive Distinct Prognostic Immune Signatures in Classical Hodgkin Lymphoma.
Claire LamaisonJuliette FerrantPauline GravelleAlexandra Traverse-GlehenHervé GhesquièresMarie TosoliniCédric RossiLoic YsebaertPierre BroussetCamille LaurentCharlotte SyrykhPublished in: Cancers (2022)
Despite the success of standard front-line chemotherapy, 20% of classical Hodgkin lymphoma (cHL) patients still relapse or have refractory disease (r/r), and a subset of them die due to disease progression. There is a critical lack of predictive factors for early identification of those r/r patients who may benefit from new therapeutic strategies. This study aimed to evaluate the dynamic expression of 586 immune-related genes in a cohort of 42 cHL patients including 30 r/r cHL after first-line chemotherapy. Gene expression profiling (GEP) using NanoString technology identified a 19-gene immune signature at diagnosis predictive of cHL relapse, but dependent on histological subtypes. Genes related to tumor survival were found upregulated while genes related to B-lineage were downregulated at diagnosis in r/r nodular sclerosis cHL. In contrast to the mixed-cellularity subtype, comparative GEP analyses between paired diagnosis/relapse biopsies of nodular sclerosis cHL showed 118 differentially expressed genes, supporting an immune contexture switch at relapse with upregulation of immunosuppressive cytokines, such as LGALS1 and TGFB1 , and downregulation of the T-cell co-stimulatory receptor ICOS . These results indicate that the predictive value of immune signature in cHL is strongly influenced by histological subtype which should be considered when assessing new immunotherapy target strategies.
Keyphrases
- hodgkin lymphoma
- genome wide
- genome wide identification
- end stage renal disease
- free survival
- ejection fraction
- newly diagnosed
- chronic kidney disease
- poor prognosis
- peritoneal dialysis
- gene expression
- prognostic factors
- cell proliferation
- magnetic resonance imaging
- squamous cell carcinoma
- magnetic resonance
- bioinformatics analysis
- signaling pathway
- radiation therapy
- dna methylation
- genome wide analysis
- long non coding rna
- temporal lobe epilepsy
- rectal cancer