GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    In: Blood, American Society of Hematology, Vol. 138, No. Supplement 1 ( 2021-11-05), p. 2390-2390
    Abstract: Introduction Due to the considerable success of cancer immunotherapy for leukemia, the tumor immune environment (TIE) has become a focus of intense research; however, there are few reports on the dynamics of the TIE in leukemia, especially in bone marrow (BM), the primary site of leukemia. Mass cytometry, which allows high-dimensional analysis with single-cell resolution, is a powerful tool for the characterization of the TIE, and enables us to examine pediatric BM samples containing only a few numbers of immune cells. Methods Primary and recurrent BM samples were collected serially from pediatric patients with BCP-ALL at Kyoto University Hospital from 2006 to 2013. Mononuclear cells were isolated by density centrifugation and viably preserved until they were used. We examined the TIE of pediatric B cell precursor acute lymphoblastic leukemia (BCP-ALL) by analyzing serial BM samples from patients in primary and recurrent disease phases by mass cytometry, using 39 immunophenotype markers, and transcriptome analysis. Results and Discussion The proportion of BCP-ALL cells in the samples was 87.3-97.8% (mean: 94.0%) at onset, and 81.3-98.8% (mean: 92.2%) at relapse. High-dimensional single-cell analysis by mass cytometry elucidated a dynamic shift of T cells from naïve to effector subsets, and clarified that the TIE during relapse comprised a T helper 1 (Th1)-polarized immune profile, together with the increase of effector regulatory T cells (Tregs). Th1 cells are typically known as supporters of cytotoxic T lymphocytes which would eliminate leukemia cells and work against relapse, but recently, it is reported that Th1 cells directly support ALL proliferation in vitro (Traxel et al. Oncogene. 2019; 38:2420-2431), and that the concentrations of pro-inflammatory cytokines and Th1 cytokines (IFN-γ and IL-12) were elevated in patients with ALL, which could create favorable conditions for ALL (Perez-Figueroa et al. Oncol Rep. 2016; 35: 2699-2706, Vilchis-Ordonez et al. Biomed Res Int. 2015; 2015: 386165). Therefore, there is a possibility that the Th1-polarized immune profile would work in favor of leukemia survival for relapse. Furthermore, Gene set enrichment analysis based on RNA expression identified the enrichment of six immune-related pathways were enriched at the time of relapse; chemokine activity, chemokine production, complement activation, positive regulation of cytokine production involved in immune response, positive regulation of lymphocyte chemotaxis, and positive regulation of lymphocyte migration. These expression signatures suggest that BCP-ALL cells attract lymphocytes, and upregulate immune activities at relapse. Conclusion In summary, a TIE characterized by a Th1-polarized immune profile, with the increase of effector Tregs, may be involved in the pathophysiology of recurrent ALL, and BCP-ALL cells at relapse were enriched with gene expressions related to lymphocyte attraction and activities. This information could contribute to the development of effective immunotherapeutic approaches against BCP-ALL relapse. Disclosures Ogawa: Eisai Co., Ltd.: Research Funding; Kan Research Laboratory, Inc.: Consultancy, Research Funding; Ashahi Genomics: Current holder of individual stocks in a privately-held company; Dainippon-Sumitomo Pharmaceutical, Inc.: Research Funding; Otsuka Pharmaceutical Co., Ltd.: Research Funding; ChordiaTherapeutics, Inc.: Consultancy, Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2021
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    In: Cancer Science, Wiley, Vol. 113, No. 1 ( 2022-01), p. 41-52
    Abstract: Due to the considerable success of cancer immunotherapy for leukemia, the tumor immune environment has become a focus of intense research; however, there are few reports on the dynamics of the tumor immune environment in leukemia. Here, we analyzed the tumor immune environment in pediatric B cell precursor acute lymphoblastic leukemia by analyzing serial bone marrow samples from nine patients with primary and recurrent disease by mass cytometry using 39 immunophenotype markers, and transcriptome analysis. High‐dimensional single‐cell mass cytometry analysis elucidated a dynamic shift of T cells from naïve to effector subsets, and clarified that, during relapse, the tumor immune environment comprised a T helper 1‐polarized immune profile, together with an increased number of effector regulatory T cells. These results were confirmed in a validation cohort using conventional flow cytometry. Furthermore, RNA transcriptome analysis identified the upregulation of immune‐related pathways in B cell precursor acute lymphoblastic leukemia cells during relapse, suggesting interaction with the surrounding environment. In conclusion, a tumor immune environment characterized by a T helper 1‐polarized immune profile, with an increased number of effector regulatory T cells, could contribute to the pathophysiology of recurrent B cell precursor acute lymphoblastic leukemia. This information could contribute to the development of effective immunotherapeutic approaches against B cell precursor acute lymphoblastic leukemia relapse.
    Type of Medium: Online Resource
    ISSN: 1347-9032 , 1349-7006
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2115647-5
    detail.hit.zdb_id: 2111204-6
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    In: Blood Advances, American Society of Hematology, Vol. 8, No. 5 ( 2024-03-12), p. 1258-1271
    Abstract: Aberrant micro-RNA (miRNA) expression profiles have been associated with disease progression and clinical outcome in pediatric cancers. However, few studies have analyzed genome-wide dysregulation of miRNAs and messenger RNAs (mRNAs) in pediatric B-cell precursor acute lymphoblastic leukemia (BCP-ALL). To identify novel prognostic factors, we comprehensively investigated miRNA and mRNA sequencing (miRNA-seq and mRNA-seq) data in pediatric BCP-ALL samples with poor outcome. We analyzed 180 patients, including 43 matched pairs at diagnosis and relapse. Consensus clustering of miRNA expression data revealed a distinct profile characterized by mainly downregulation of miRNAs (referred to as an miR-low cluster [MLC]). The MLC profile was not associated with any known genetic subgroups. Intriguingly, patients classified as MLC had significantly shorter event-free survival (median 21 vs 33 months; log-rank P = 3 ×10−5). Furthermore, this poor prognosis was retained even in hyperdiploid ALL. This poor prognostic MLC profiling was confirmed in the validation cohort. Notably, non-MLC profiling at diagnosis (n = 9 of 23; Fisher exact test, P = .039) often changed into MLC profiling at relapse for the same patient. Integrated analysis of miRNA-seq and mRNA-seq data revealed that the transcriptional profile of MLC was characterized by enrichment of MYC target and oxidative phosphorylation genes, reduced intron retention, and low expression of DICER1. Thus, our miRNA-mRNA integration approach yielded a truly unbiased molecular stratification of pediatric BCP-ALL cases based on a novel prognostic miRNA signature, which may lead to better clinical outcome s.
    Type of Medium: Online Resource
    ISSN: 2473-9529 , 2473-9537
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2024
    detail.hit.zdb_id: 2876449-3
    detail.hit.zdb_id: 2915908-8
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...