ArticleOncoimmunology2016
Large-scale microarray profiling reveals four stages of immune escape in non-Hodgkin lymphomas.
Article in Oncoimmunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 47 citations in OpenAlex.
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- Patient-derived lymphoma spheroids integrating immune tumor microenvironment as preclinical follicular lymphoma models for personalized medicine.Journal for immunotherapy of cancer · 2023Article
- Identification of immune-related genes and development of a prognostic model in mantle cell lymphoma.Annals of translational medicine · 2022Article
- Integrative genome-wide chromatin accessibility and transcriptome profiling of diffuse large B-cell lymphoma.Clinical and translational medicine · 2022Article
- Molecular heterogeneity of CD30+ diffuse large B-cell lymphoma with prognostic significance and therapeutic implication.Blood cancer journal · 2022Article
- Baseline SUVmax is related to tumor cell proliferation and patient outcome in follicular lymphoma.Haematologica · 2022Article
- CCL8 as a promising prognostic factor in diffuse large B-cell lymphomaFrontiers in immunology · 2022Article
- Single-Cell RNAseq Profiling of Human γδ T Lymphocytes in Virus-Related Cancers and COVID-19 Disease.Viruses · 2021Article
- Immunotherapies in Non-Hodgkin's Lymphoma.Cancers · 2021Article
- Pancreatic cancer intrinsic PI3Kα activity accelerates metastasis and rewires macrophage component.EMBO molecular medicine · 2021Article
- Global DNA hypermethylation pattern and unique gene expression signature in liver cancer from patients with Indigenous American ancestry.Oncotarget · 2021Article
- Case Report: Clinical Responses to Tislelizumab as a First-Line Therapy for Primary Hepatocellular Carcinoma With B-Cell Indolent Lymphoma.Frontiers in immunology · 2021Review
- Phased differentiation of γδ T and T CD8 tumor-infiltrating lymphocytes revealed by single-cell transcriptomics of human cancers.Oncoimmunology · 2021Article
- Overcoming the Hurdles of Autologous T-Cell-Based Therapies in B-Cell Non-Hodgkin Lymphoma.Cancers · 2020Review
- Longitudinal CITE-Seq profiling of chronic lymphocytic leukemia during ibrutinib treatment: evolution of leukemic and immune cells at relapse.Biomarker research · 2020Article
- SRGN, a new identified shear-stress-responsive gene in endothelial cells.Molecular and cellular biochemistry · 2020Article
- Daratumumab displays in vitro and in vivo anti-tumor activity in models of B-cell non-Hodgkin lymphoma and improves responses to standard chemo-immunotherapy regimens.Haematologica · 2020Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non-Hodgkin B-cell lymphoma (B-NHL) are aggressive lymphoid malignancies that develop in patients due to oncogenic activation, chemo-resistance, and immune evasion. Tumor biopsies show that B-NHL frequently uses several immune escape strategies, which has hindered the development of checkpoint blockade immunotherapies in these diseases. To gain a better understanding of B-NHL immune editing, we hypothesized that the transcriptional hallmarks of immune escape associated with these diseases could be identified from the meta-analysis of large series of microarrays from B-NHL biopsies. Thus, 1446 transcriptome microarrays from seven types of B-NHL were downloaded and assembled from 33 public Gene Expression Omnibus (GEO) datasets, and a method for scoring the transcriptional hallmarks in single samples was developed. This approach was validated by matching scores to phenotypic hallmarks of B-NHL such as proliferation, signaling, metabolic activity, and leucocyte infiltration. Through this method, we observed a significant enrichment of 33 immune escape genes in most diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL) samples, with fewer in mantle cell lymphoma (MCL) and marginal zone lymphoma (MZL) samples. Comparing these gene expression patterns with overall survival data evidenced four stages of cancer immune editing in B-NHL: non-immunogenic tumors (stage 1), immunogenic tumors without immune escape (stage 2), immunogenic tumors with immune escape (stage 3), and fully immuno-edited tumors (stage 4). This model complements the standard international prognostic indices for B-NHL and proposes that immune escape stages 3 and 4 (76% of the FL and DLBCL samples in this data set) identify patients relevant for checkpoint blockade immunotherapies.
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