TY - JOUR
T1 - Blood-circulating EV-miRNAs, serum TARC, and quantitative FDG-PET features in classical Hodgkin lymphoma
AU - Drees, Esther E E
AU - Driessen, Julia
AU - Zwezerijnen, Gerben J C
AU - Verkuijlen, Sandra A W M
AU - Eertink, Jakoba J
AU - van Eijndhoven, Monique A J
AU - Groenewegen, Nils J
AU - Vallés-Martí, Andrea
AU - de Jong, Daphne
AU - Boellaard, Ronald
AU - de Vet, Henrica C W
AU - Pegtel, Dirk M
AU - Zijlstra, Josée M
N1 - © 2022 The Authors. eJHaem published by British Society for Haematology and John Wiley & Sons Ltd.
PY - 2022/8
Y1 - 2022/8
N2 - 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.
AB - 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.
U2 - https://doi.org/10.1002/jha2.432
DO - https://doi.org/10.1002/jha2.432
M3 - Article
C2 - 36051072
SN - 2688-6146
VL - 3
SP - 908
EP - 912
JO - EJHaem
JF - EJHaem
IS - 3
ER -