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. 2022 Apr 28;3(3):908-912.
doi: 10.1002/jha2.432. eCollection 2022 Aug.

Blood-circulating EV-miRNAs, serum TARC, and quantitative FDG-PET features in classical Hodgkin lymphoma

Affiliations

Blood-circulating EV-miRNAs, serum TARC, and quantitative FDG-PET features in classical Hodgkin lymphoma

Esther E E Drees et al. EJHaem. .

Abstract

Blood-based biomarkers are gaining interest for response evaluation in classical Hodgkin lymphoma (cHL). However, it is unknown how blood-based biomarkers relate to quantitative 18F-FDG-PET features. We correlated extracellular vesicle-associated miRNAs (EV-miRNA), serum TARC, and complete blood count (CBC) with PET features (e.g., metabolic tumor volume [MTV], dissemination and intensity features) in 30 cHL patients at baseline. EV-miR127-3p, EV-miR24-3p, sTARC, and several CBC parameters showed weak to strong correlations with MTV and dissemination features, but not with intensity features. Two other EV-miRNAs only showed weak correlations with PET features. Therefore, blood-based biomarkers may be complementary to PET features, which warrants further exploration of combining these biomarkers in prognostic models.

Keywords: FDG‐PET; Hodgkin lymphoma; Radiomics; TARC; extracellular vesicles; miRNAs.

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Conflict of interest statement

Dirk Michiel Pegtel is co‐founder and CSO of Exbiome BV and has received travel compensation from Takeda.

Figures

FIGURE 1
FIGURE 1
Correlation of baseline positron emission tomography (PET) features with blood‐based biomarkers. (A) Example of a maximum intensity projections of a PET‐scan of a newly diagnosed cHL patient. (B) Correlation matrix of Spearman's rank correlation coefficients between PET features and blood‐based biomarkers. ESR, erythrocyte sediment rate; Hb, hemoglobin; MTV, metabolic tumor volume; SUV, standard uptake value; TLG, total lesion glycolysis
FIGURE 2
FIGURE 2
Correspondence of number of lesions and metabolic tumor volume (MTV) with levels of several blood‐based biomarkers. (A–F) Boxplots of several blood‐based biomarker levels, stratified for high (≥94 ml), or low (<94 ml) MTV measured by positron emission tomography (PET)/computed tomography (CT). (G–L) Boxplots of several blood‐based biomarker levels, stratified for a high (≥8) or low (<8) number of lesions on the PET/CT scan. Each individual dot represents a PET value of one patient, the boxplot represents the median and interquartile range, and the whiskers represent the minimum and maximum values

References

    1. Küppers R. The biology of Hodgkin's lymphoma. Nat Rev Cancer. 2009;9(1):15–27. - PubMed
    1. Driessen J, Visser O, Zijlstra JM, Lugtenburg PJ, Plattel WJ, Kersten MJ, et al. Primary therapy and relative survival in classical Hodgkin lymphoma: a nationwide population‐based study in the Netherlands, 1989–2017. Leukemia 2021;35(2):494–505. - PubMed
    1. Cheson BD, Fisher RI, Barrington SF, Cavalli F, Schwartz LH, Zucca E, et al. Recommendations for initial evaluation, staging, and response assessment of hodgkin and non‐hodgkin lymphoma: the lugano classification. J Clin Oncol. 2014;32(27):3059–68. - PMC - PubMed
    1. Cirillo M, Craig AFM, Borchmann S, Kurtz DM. Liquid biopsy in lymphoma: molecular methods and clinical applications. Cancer Treat Rev. 2020;91:102106. - PMC - PubMed
    1. Vardhana S, Younes A. The immune microenvironment in Hodgkin lymphoma: T cells, B cells, and immune checkpoints. Haematologica. 2016;101:(7):794–802. 10.3324/haematol.2015.132761 - DOI - PMC - PubMed