ArticleSeminars in oncology2017
Hodgkin lymphoma: A complex metabolic ecosystem with glycolytic reprogramming of the tumor microenvironment.
Article in Seminars in oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.
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Who cites it
32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.
- Prognostic Value of Monocarboxylate Transporter 1 Overexpression in Cancer: A Systematic Review.International journal of molecular sciences · 2023Pooled it
- Perspective: Do Fasting, Caloric Restriction, and Diets Increase Sensitivity to Radiotherapy? A Literature Review.Advances in nutrition (Bethesda, Md.) · 2020Pooled it
- Metabolic Interactions in the Tumor Microenvironment of Classical Hodgkin Lymphoma: Implications for Targeted Therapy.International journal of molecular sciences · 2025Review
- The role of MCT1 in tumor progression and targeted therapy: a comprehensive review.Frontiers in immunology · 2025Review
- Real-time cell metabolism assessed repeatedly on the same cellsChemical science · 2023Article
- Identification and Interpretation of eQTL and eGenes for Hodgkin Lymphoma Susceptibility.Genes · 2023Article
- Regulative Roles of Metabolic Plasticity Caused by Mitochondrial Oxidative Phosphorylation and Glycolysis on the Initiation and Progression of Tumorigenesis.International journal of molecular sciences · 2023Review
- Recent Advances and Applications of Ambient Mass Spectrometry Imaging in Cancer Research: An Overview.Mass spectrometry (Tokyo, Japan) · 2023Review
- Lipid Metabolism Heterogeneity and Crosstalk with Mitochondria Functions Drive Breast Cancer Progression and Drug Resistance.Cancers · 2022Review
- Current Status of Novel Agents for the Treatment of B Cell Malignancies: What's Coming Next?Cancers · 2022Review
- Targeting metabolic reprogramming in chronic lymphocytic leukemia.Experimental hematology & oncology · 2022Review
- Development and validation of a novel mitophagy-related gene prognostic signature for glioblastoma multiforme.BMC cancer · 2022Article
- The effects of cannabidiol via TRPV2 channel in chronic myeloid leukemia cells and its combination with imatinib.Cancer science · 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
- Managing the TME to improve the efficacy of cancer therapy.Frontiers in immunology · 2022Review
- Single-Cell Metabolomics in Hematopoiesis and Hematological Malignancies.Frontiers in oncology · 2022Review
- Comparing DESI-MSI and MALDI-MSI Mediated Spatial Metabolomics and Their Applications in Cancer Studies.Frontiers in oncology · 2022Review
- Bicalutamide Exhibits Potential to Damage Kidney via Destroying Complex I and Affecting Mitochondrial Dynamics.Journal of clinical medicine · 2021Article
- Metabolic Tumor Microenvironment Characterization of Contrast Enhancing Brain Tumors Using Physiologic MRI.Metabolites · 2021Article
- Metabolic Swifts Govern Normal and Malignant B Cell Lymphopoiesis.International journal of molecular sciences · 2021Review
Corrections and comments
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Authors and funding
16 authors at 8 institutions in 3 countries.
Funding
Abstract
backgroundTwenty percent of patients with classical Hodgkin Lymphoma (cHL) have aggressive disease defined as relapsed or refractory disease to initial therapy. At present we cannot identify these patients pre-treatment. The microenvironment is very important in cHL because non-cancer cells constitute the majority of the cells in these tumors. Non-cancer intra-tumoral cells, such as tumor-associated macrophages (TAMs) have been shown to promote tumor growth in cHL via crosstalk with the cancer cells. Metabolic heterogeneity is defined as high mitochondrial metabolism in some tumor cells and glycolysis in others. We hypothesized that there are metabolic differences between cancer cells and non-cancer tumor cells, such as TAMs and tumor-infiltrating lymphocytes in cHL and that greater metabolic differences between cancer cells and TAMs are associated with poor outcomes.
methodsA case-control study was conducted with 22 tissue samples of cHL at diagnosis from a single institution. The case samples were from 11 patients with aggressive cHL who had relapsed after standard treatment with adriamycin, bleomycin, vinblastine, and dacarbazine (ABVD) or were refractory to this treatment. The control samples were from 11 patients with cHL who achieved a remission and never relapsed after ABVD. Reactive non-cancerous lymph nodes from four subjects served as additional controls. Samples were stained by immunohistochemistry for three metabolic markers: translocase of the outer mitochondrial membrane 20 (TOMM20), monocarboxylate transporter 1 (MCT1), and monocarboxylate transporter 4 (MCT4). TOMM20 is a marker of mitochondrial oxidative phosphorylation (OXPHOS) metabolism. Monocarboxylate transporter 1 (MCT1) is the main importer of lactate into cells and is a marker of OXPHOS. Monocarboxylate transporter 4 (MCT4) is the main lactate exporter out of cells and is a marker of glycolysis. The immunoreactivity for TOMM20, MCT1, and MCT4 was scored based on staining intensity and percentage of positive cells, as follows: 0 for no detectable staining in > 50% of cells; 1+ for faint to moderate staining in > 50% of cells, and 2+ for high or strong staining in > 50% of cells.
resultsTOMM20, MCT1, and MCT4 expression was significantly different in Hodgkin and Reed Sternberg (HRS) cells, which are the cancerous cells in cHL compared with TAMs and tumor-associated lymphocytes. HRS have high expression of TOMM20 and MCT1, while TAMs have absent expression of TOMM20 and MCT1 in all but two cases. Tumor-infiltrating lymphocytes have low TOMM20 expression and absent MCT1 expression. Conversely, high MCT4 expression was found in TAMs, but absent in HRS cells in all but one case. Tumor-infiltrating lymphocytes had absent MCT4 expression. Reactive lymph nodes in contrast to cHL tumors had low TOMM20, MCT1, and MCT4 expression in lymphocytes and macrophages. High TOMM20 and MCT1 expression in cancer cells with high MCT4 expression in TAMs is a signature of high metabolic heterogeneity between cancer cells and the tumor microenvironment. A high metabolic heterogeneity signature was associated with relapsed or refractory cHL with a hazard ratio of 5.87 (1.16-29.71; two-sided P < .05) compared with the low metabolic heterogeneity signature.
conclusionAggressive cHL exhibits features of metabolic heterogeneity with high mitochondrial metabolism in cancer cells and high glycolysis in TAMs, which is not seen in reactive lymph nodes. Future studies will need to confirm the value of these markers as prognostic and predictive biomarkers in clinical practice. Treatment intensity may be tailored in the future to the metabolic profile of the tumor microenvironment and drugs that target metabolic heterogeneity may be valuable in this disease.
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