ArticleHaematologica2021
Whole-slide image analysis of the tumor microenvironment identifies low B-cell content as a predictor of adverse outcome in patients with advanced-stage classical Hodgkin lymphoma treated with BEACOPP.
Article in Haematologica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 27 citations in OpenAlex.
- [Diagnosis of classic Hodgkin lymphoma and its imitators].Pathologie (Heidelberg, Germany) · 2026Review
- Predictors of sensitivity to immune therapies in classic Hodgkin lymphoma.Blood neoplasia · 2026Review
- Prognostic Value of Spatial and Topological Features of Tumor Microenvironment in Classic Hodgkin Lymphoma.Oncology research · 2026Review
- Long non-coding RNA <I>LINC00926</i> is a biomarker for naïve B-cells with prognostic value in advanced stage classic Hodgkin lymphoma.Haematologica · 2026Article
- Clinical applications of artificial intelligence in the histopathology of lymphoma: diagnosis, treatment and prognosis.Discover oncology · 2025Review
- Whole Exome Sequencing for the Identification of Mutations in Bone Marrow CD34+Cells in Hodgkin Lymphoma.Current issues in molecular biology · 2025Article
- Tumor-associated macrophages: potential role in skeletal involvement in classic Hodgkin lymphoma.The journal of pathology. Clinical research · 2025Article
- T-cell diversity and exclusion of blood-derived T-cells in the tumor microenvironment of classical Hodgkin Lymphoma.Leukemia · 2025Article
- Review
- Article
- Epstein-Barr virus-based prognostic model in nodular sclerosis classic Hodgkin lymphoma.iScience · 2024Article
- Unraveling the Immune Microenvironment in Classic Hodgkin Lymphoma: Prognostic and Therapeutic Implications.Biology · 2023Review
- Current and Emerging Approaches to Study Microenvironmental Interactions and Drug Activity in Classical Hodgkin Lymphoma.Cancers · 2022Review
- Checkpoint protein expression in the tumor microenvironment defines the outcome of classical Hodgkin lymphoma patients.Blood advances · 2022Article
- Whole-slide image analysis identifies a high content of Hodgkin Reed-Sternberg cells and a low content of T lymphocytes in tumor microenvironment as predictors of adverse outcome in patients with classic Hodgkin lymphoma treated with ABVD.Frontiers in oncology · 2022Article
- The role of immunohistochemistry in the assessment of classical Hodgkin lymphoma microenvironment.International journal of clinical and experimental pathology · 2022Article
- Review
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20 authors at 11 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
A subset of patients with advanced-stage classical Hodgkin Lymphoma (cHL) relapse or progress following standard treatment. Given their dismal prognosis, identifying this group of patients upfront represents an important medical need. While prior research has identified characteristics of the tumor microenvironment, which are associated with cHL outcomes, biomarkers that are developed and validated in this high-risk group are still missing. Here, we applied whole-slide image analysis (WSI), a quantitative, large-scale assessment of tumor composition that utilizes conventional histopathology slides. We conducted WSI on a study cohort with pre-treatment biopsies of 340 advanced-stage cHL patients enrolled in the HD12 and HD15 trials of the German Hodgkin Study Group (GHSG), and tested our results in in a validation cohort of 147 advanced-stage cHL patients within the GHSG HD18 trial. All patients were treated with BEACOPP-based regimens. By quantifying T cells, B cells, Hodgkin-Reed-Sternberg-cells and macrophages with WSI, 80% of all cells in the tumor tissue were identified. Crucially, low B cell count was associated with significantly reduced progression-free survival (PFS) and overall survival (OS), while T cell-, macrophage- and Hodgkin-Reed-Sternberg-cell content was not associated with the risk of progression or relapse in the study cohort. We further validated low B cell content as a prognostic factor of PFS and OS in the validation cohort and demonstrate good inter-observer agreement of WSI. WSI may represent a key tool for risk stratification of advanced-stage cHL that can easily be added to the standard diagnostic histopathology work-up.
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