Why the study?
Because cancer and normal tissues share genomes, the authors investigated whether the curative potential of ABVD chemotherapy is predicted by the metabolic response of normal tissues in patients with Hodgkin lymphoma.
Does myocardial metabolic response on FDG PET/CT predict progression-free survival in patients with advanced-stage Hodgkin lymphoma receiving ABVD chemotherapy?
Does myocardial metabolic response on FDG PET/CT predict progression-free survival in patients with advanced-stage Hodgkin lymphoma receiving ABVD chemotherapy?
Myocardial metabolic response (cardiac lighting on FDG PET/CT) independently predicts favorable progression-free survival in patients with advanced Hodgkin lymphoma undergoing ABVD chemotherapy.
Myocardial FDG PET/CT response may refine PFS prognostication in advanced Hodgkin lymphoma; hypothesis-generating and requires prospective validation before guiding therapy.
Genome sharing between cancer and normal tissues might imply a similar susceptibility to chemotherapy toxicity. The present study aimed to investigate whether curative potential of doxorubicin, bleomycin, vinblastine, and dacarbazine (ABVD) is predicted by the metabolic response of normal tissues in patients with Hodgkin lymphoma (HL). METHODS: According to current guidelines, 86 patients with advanced-stage (IIB-IVB) HL, prospectively enrolled in the HD0607 trial (NCT00795613), underwent 18 F-fluorodeoyglucose PET/CT imaging at diagnosis and, at interim, after two ABVD courses, to decide regimen maintenance or its escalation. In both scans, myocardial FDG uptake was binarized according to its median value. Death and disease relapse were recorded to estimate progression-free survival (PFS) during a follow-up with median duration of 43.8 months (range 6.97-60). RESULTS: Four patients (4.6%) died, while six experienced disease relapse (7%). Complete switch-off of cancer lesions and cardiac lighting predicted a favorable outcome at Kaplan-Mayer analyses. The independent nature and additive predictive value of their risk prediction were confirmed by the multivariate Cox regression analysis. CONCLUSION: Susceptibility of HL lesions to chemotherapy is at least partially determined by factors featuring the host who developed it.
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Marini et al. (2021) studied this question.
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