Key result
High baseline metabolic tumor volume (MTV) predicted poorer 5-year progression-free survival compared to low MTV (59% vs 83%; HR 3.4; 95% CI 1.6-7.0; P=0.0005) in patients with DLBCL.
Why the study?
Baseline 18F-FDG PET/CT functional parameters showed promise as biomarkers in DLBCL, but their ability to predict outcomes in patients receiving conventional immunochemotherapy needed testing.
Does a prognostic model integrating baseline metabolic tumor volume and metabolic heterogeneity predict outcomes in patients with DLBCL receiving R-CHOP?
Cohort (n=254)
Yes
Does a prognostic model integrating baseline metabolic tumor volume and metabolic heterogeneity predict outcomes in patients with DLBCL receiving R-CHOP?
Hazard Ratio: 3.4 (95% CI 1.6–7)
Absolute Event Rate: 59% vs 83%
p-value: p=0.0005
Integrating baseline metabolic tumor volume and metabolic heterogeneity from PET/CT allows early identification of high-risk DLBCL patients who may benefit from treatment intensification.
MTV may refine risk stratification on R-CHOP; leaves open whether it should guide treatment intensification.
Several functional parameters from baseline (18)F-fluorodeoxyglucose positron emission tomography (PET)/computed tomography have been proposed as promising biomarkers of treatment efficacy in diffuse large B-cell lymphoma (DLBCL). We tested their ability to predict outcome in 2 cohorts of DLBCL patients receiving conventional immunochemotherapy (rituximab, cyclophosphamide, doxorubicin hydrochloride, vincristine sulfate, and prednisone [R-CHOP] regimen), either every 14 (R-CHOP14) or 21 days (R-CHOP21). Baseline PET analysis was performed in 141 patients with DLBCL treated with R-CHOP14 in the prospective SAKK38/07 study (NCT00544219) of the Swiss Group for Clinical Cancer Research (testing set). Reproducibility was examined in a validation set of 113 patients treated with R-CHOP21. In the SAKK38/07 cohort, progression-free survival (PFS) at 5 years was 83% for patients with low metabolic tumor volume (MTV) and 59% for those with high MTV (hazard ratio [HR], 3.4; 95% confidence interval [CI], 1.6-7.0; P = .0005), whereas overall survival (OS) was 91% and 64%, respectively (HR, 4.4; 95% CI, 1.9-10; P = .0001). MTV was the most powerful predictor of outcome also in the validation set. Elevated metabolic heterogeneity (MH) significantly predicted poorer outcomes in the subgroups of patients with elevated MTV. A model integrating MTV and MH identified high-risk patients with shorter PFS (testing set: HR, 5.6; 95% CI, 1.8-17; P < .0001; validation set: HR, 5.6; 95% CI, 1.7-18; P = .0002) and shorter OS (testing set: HR, 9.5; 95% CI, 1.7-52; P < .0001; validation set: HR, 7.6; 95% CI, 2.0-28; P = .0003). This finding was confirmed by an unsupervised regression tree analysis indicating that prognostic models based on MTV and MH may allow early identification of refractory patients who might benefit from treatment intensification. This trial was registered at www.clinicaltrials.gov as #NCT00544219.
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Ceriani et al. (2020) conducted a cohort in Diffuse large B-cell lymphoma (DLBCL) (n=254). High metabolic tumor volume (MTV) vs. Low metabolic tumor volume (MTV) was evaluated on Progression-free survival (PFS) at 5 years (HR 3.4, 95% CI 1.6-7.0, p=0.0005). High baseline metabolic tumor volume (MTV) predicted poorer 5-year progression-free survival compared to low MTV (59% vs 83%; HR 3.4; 95% CI 1.6-7.0; P=0.0005) in patients with DLBCL.
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