An inflammatory state defines a high-risk T-lineage acute lymphoblastic leukemia subgroup.
СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Gower Mark, Li Ximing, Aguilar-Navarro Alicia G, Lin Brian, Fernandez Minerva, Edun Gibran, Nader Mursal, Rondeau Vincent, Arruda Andrea, Tierens Anne, Eames Seffernick Anna, Pölönen Petri, Durocher Juliette, Wagenblast Elvin, Yang Lin, Lee Ho Seok, Mullighan Charles G, Teachey David, Rashkovan Marissa, Tremblay Cedric S, Herranz Daniel, Itkin Tomer, Loghavi Sanam, Dick John E, Schwartz Gregory, Perusini Maria Agustina, Sibai Hassan, Hitzler Johann, Gruber Tanja A, Minden Mark, Jones Courtney L, Dolgalev Igor, Jahangiri Soheil, Tikhonova Anastasia N
Аннотация
T-lineage acute lymphoblastic leukemia (ALL) is an aggressive cancer comprising diverse subtypes that are challenging to stratify using conventional immunophenotyping. To gain insights into subset-specific therapeutic vulnerabilities, we performed an integrative multiomics analysis of bone marrow samples from newly diagnosed T cell ALL, early T cell precursor ALL, and T/myeloid mixed phenotype acute leukemia. Leveraging cellular indexing of transcriptomes and epitopes in conjunction with T cell receptor sequencing, we identified a subset of patient samples characterized by activation of inflammatory and stem gene programs. These inflammatory T-lineage samples exhibited distinct biological features compared with other T-lineage ALL samples, including the production of proinflammatory cytokines, prevalence of mutations affecting cytokine signaling and chromatin remodeling, an altered immune microenvironment, and poor treatment responses. Moreover, we found that, although inflammatory T-lineage ALL samples were less sensitive to dexamethasone, they exhibited unique sensitivity to a BCL-2 inhibitor, venetoclax. To facilitate classification of patients with T-lineage ALL, we developed a computational inflammatory gene signature scoring system, which stratified patients and was associated with disease prognosis in three additional patient cohorts. By identifying a high-risk T-lineage ALL subtype on the basis of an inflammatory score, our study provides a framework for targeted therapeutic approaches for these challenging-to-treat cancers.