ArticleOncogene2002
Gene expression profiling defines molecular subtypes of classical Hodgkin's disease.
Article in Oncogene, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Disordered differentiation and cellular senescence in pediatric Hodgkin Reed-Sternberg cells.Blood advances · 2026Article
- Adult Hodgkin lymphoma incidence trends in the United States from 2000 to 2020.Scientific reports · 2024Article
- Immune and stromal transcriptional patterns that influence the outcome of classic Hodgkin lymphoma.Scientific reports · 2024Article
- On the challenges of predicting treatment response in Hodgkin's Lymphoma using transcriptomic data.BMC medical genomics · 2023Article
- Distinctive patterns of marrow involvement by classic Hodgkin lymphoma are clues for diagnosis and subtyping.Virchows Archiv : an international journal of pathology · 2022Article
- Lysyl-Oxidase Dependent Extracellular Matrix Stiffness in Hodgkin Lymphomas: Mechanical and Topographical Evidence.Cancers · 2022Article
- Hodgkin Lymphoma: A Special Microenvironment.Journal of clinical medicine · 2021Review
- The landscape of copy number variations in classical Hodgkin lymphoma: a joint KU Leuven and LYSA study on cell-free DNA.Blood advances · 2021Article
- Cell-Free DNA for the Management of Classical Hodgkin Lymphoma.Pharmaceuticals (Basel, Switzerland) · 2021Review
- Overcoming the Immunosuppressive Tumor Microenvironment of Hodgkin Lymphoma Using Chimeric Antigen Receptor T Cells.Cancer discovery · 2017Article
- Transcriptome Analysis of Canine Cutaneous Melanoma and Melanocytoma Reveals a Modulation of Genes Regulating Extracellular Matrix Metabolism and Cell Cycle.Scientific reports · 2017Article
- Time Trends in Rates of Hodgkin Lymphoma Histologic Subtypes: True Incidence Changes or Evolving Diagnostic Practice?Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2015Article
- Identifying gene disruptions in novel balanced de novo constitutional translocations in childhood cancer patients by whole-genome sequencing.Genetics in medicine : official journal of the American College of Medical Genetics · 2015Article
- The promise of multi-omics and clinical data integration to identify and target personalized healthcare approaches in autism spectrum disorders.Omics : a journal of integrative biology · 2015Review
- CSF1R Protein Expression in Reactive Lymphoid Tissues and Lymphoma: Its Relevance in Classical Hodgkin Lymphoma.PloS one · 2015Article
- MicroRNA signatures and treatment response in patients with advanced classical Hodgkin lymphoma.British journal of haematology · 2013Article
- Gene expression-based model using formalin-fixed paraffin-embedded biopsies predicts overall survival in advanced-stage classical Hodgkin lymphoma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2013Article
- Three-dimensional Telomere Signatures of Hodgkin- and Reed-Sternberg Cells at Diagnosis Identify Patients with Poor Response to Conventional Chemotherapy.Translational oncology · 2012Article
- Immunohistochemical markers for tumor associated macrophages and survival in advanced classical Hodgkin's lymphoma.Haematologica · 2012Article
- CD163 versus CD68 in tumor associated macrophages of classical Hodgkin lymphoma.Diagnostic pathology · 2012Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although the prognosis of Hodgkin's disease is relatively good, around 20% of patients do not benefit from current therapies and succumb to their disease. A large-scale molecular characterization of disease might help improve HD management. Using cDNA arrays, we studied the mRNA expression levels of approximately 1000 selected genes in 34 benign and malignant lymphoid samples including 21 classical Hodgkin's disease (HD) tissue samples. Hierarchical clustering identified three main molecular groups of HD tumours relevant with respect to histology and clinical outcome (response to therapy and survival). Samples from all bad outcome HD (BOHD) patients clustered in one group whereas the two other groups contained most good outcome HD (GOHD) cases. The nodular sclerosis GOHD samples overexpressed genes involved in apoptotic induction and cell signalling, including cytokines, while the BOHD samples were characterized by the upregulation of genes involved in fibroblast activation, angiogenesis, extracellular matrix remodelling, cell proliferation, and the downregulation of tumour suppressor genes. Our results establish a molecular taxonomy of HD correlating with response to therapy and clinical outcome, thereby suggesting the possibility of improving the current prognostic classification.
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