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Phosphorus Magnetic Resonance Spectroscopy Predicts Outcome to Chemotherapy In Patients with Diffuse Large B-Cell Lymphoma: A Prospective International Multicenter Analysis of a Pretreatment Metabolic Biomarker of Response
- Source :
- Blood; November 2010, Vol. 116 Issue: 21 p3104-3104, 1p
- Publication Year :
- 2010
-
Abstract
- Under ethical review board approval, 27 previously untreated DLBCL patients prior to receiving standard doxorubicin-based therapy were studied noninvasively using 3D localized, 1H-decoupled, nuclear Overhauser-enhanced phosphorus MR spectroscopy at 1.5 T.As only complete response (CR) is clinically meaningful in achieving durable remissions of DLBCL, we divided these patients by response at six months into CR and all the other responses (not complete response, NCR). In the 17 CR patients, the PMR was significantly lower than in the ten NCR patients (PMR mean ± 95% CI, 1.46 ± 0.21 vs. 2.47 ± 0.24, p < 3 × 10-6). The prediction of response using a Fisher test was significant for the PMR alone (p < 1 × 10-4; sensitivity of 1.00, specificity of 0.70) and improved further when combined with the IPI (p < 2 × 10-6; sensitivity of 1.0, specificity of 0.90). The progression-free survival (PFS) strongly correlated with the PMR alone (p < 4 × 10-8) and with the PMR and IPI as covariates (p < 1 × 10-7) by the Cox regression model. Using the Kaplan-Meier model, the PMR discriminated 64% of patients with PFS below 11 months (p < 1 × 10-7), while as covariate with the IPI it discriminated 82% of these patients (p < 2 × 10-7).Our results show that the PMR contains information that predicts outcome to standard therapy in DLBCL patients. This prediction improves when the PMR is combined with the IPI. While the PME alone identifies 64% of those patients who will go on to show an extremely poor response with a progression-free survival below 11 months, the combination of the PME and IPI identify 82% of these patients. In conclusion, we have successfully demonstrated that the PMR can be an important determinant in predicting response to treatment in patients with DLBCL, especially when integrated with the IPI.1) Cancer: principles and practice of oncology. 6th ed. Philadelphia, PA, Lippincott, Williams & Wilkins, 2001; 2) Smith MR, Non-Hodgkin's lymphoma. St. Louis, MO, Mosby, 1966; 3) Arias-Mendoza F, Brown TR, Dis. Markers, 2003;19:49-68; 4)Griffiths JR, et al, Lancet 1983;1:1435-6No relevant conflicts of interest to declare.
Details
- Language :
- English
- ISSN :
- 00064971 and 15280020
- Volume :
- 116
- Issue :
- 21
- Database :
- Supplemental Index
- Journal :
- Blood
- Publication Type :
- Periodical
- Accession number :
- ejs53047156
- Full Text :
- https://doi.org/10.1182/blood.V116.21.3104.3104