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. 2025 Jan 2;16(1):109.
doi: 10.1038/s41467-024-55614-y.

Integrating genetic subtypes with PET scan monitoring to predict outcome in diffuse large B-cell lymphoma

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Integrating genetic subtypes with PET scan monitoring to predict outcome in diffuse large B-cell lymphoma

Matías S Mendeville et al. Nat Commun. .

Abstract

Next Generation Sequencing-based subtyping and interim- and end of treatment positron emission tomography (i/eot-PET) monitoring have high potential for upfront and on-treatment risk assessment of diffuse large B-cell lymphoma patients. We performed Dana Farber Cancer Institute (DFCI) and LymphGen genetic subtyping for the HOVON84 (n = 208, EudraCT-2006-005174-42) and PETAL (n = 204, EudraCT-2006-001641-33) trials retrospectively combined with DFCI genetic data (n = 304). For all R-CHOP treated patients (n = 592), C5/MCD- and C2/A53-subtypes show significantly worse outcome independent of the international prognostic index. For all subtypes, adverse prognostic value of i/eot-PET-positive status is confirmed. Consistent with frequent primary refractory disease, only 67% C2 patients become eot-PET-negative versus 81-88% for other subtypes. Indicative of high relapse rates, outcome of C5 i/eot-PET-negative patients remains significantly worse in HOVON-84, which trend validates in the PETAL and SAKK38-07 trials (NCT00544219). These results show the added value of integrated genetic subtyping and PET monitoring for prognostic stratification and subtype-specific trial design.

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Conflict of interest statement

Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Consort diagram for patient selection and data generation.
acases of follicular lymphoma grade 3B, primary testicular large B-cell lymphoma, primary CNS large B-cell lymphoma and primary mediastinal B-cell lymphoma were excluded. bcases for which FFPE blocks were not available, containing insufficient remaining tissue or not representative material were excluded. call cases failing NGS quality control, including tumor percentage <20% as measured by the algorithm ACE were excluded. dall cases with stage 1 disease and receiving any other treatments than R-CHOP-14, including Burkitt-like treatment were excluded. NGS=next generation sequencing, i/eot-PET=interim/end-of-treatment 18fluoro-deoxyglucose-postron emission tomography, IPI=International Prognostic Index.
Fig. 2
Fig. 2. Recapitulation of genetic DLBCL subtypes using 716 samples from 3 cohorts by clustering using Non-negative Matrix Factorization (NMF).
Coloured boxes in the heat map and “NMF cluster” bars in the header show the 5 clusters; C1, purple; C2, blue; C3, orange; C4, green; C5, red; and non-annotated samples C0, grey. The header furthermore shows the dendrogram; Top bar “Cohort” colour coded per sample; DFCI, dark red; HOVON-84, blue; PETAL, yellow; “COO” bar, cell-of-origin assignment with GCB, orange; non-GCB, green; unclassifiable, yellow; not assessed, white; “DFCI assignment” bar, DFCI samples with their originally published cluster assignment. “LymphGen” assignment bar, colour coded per sample with colour codes according to their DFCI counterparts with BN2, purple; A53, blue; EZB, orange; ST2, green; MCD, red; Other, grey; unclassified, white. “NMF cluster” bar colour coded accordingly. The right y-axis gives the genetic alterations that define the 5 clusters, per cluster ranked by significance, -log10q Fisher exact test values (Benjamini-Hochberg corrected p-values) grey horizontal bars. Type of genomic drivers are colour coded in the heat map: synonymous mutations, light green; non-synonymous mutations, dark green; copy number gains, red; copy number losses, blue; translocations, purple. Source data are provided in Supplementary Data 1 and 5.
Fig. 3
Fig. 3. Association of DLBCL genetic subtypes with PFS and OS.
Kaplan-Meier survival analyses for HOVON-84, PETAL and DFCI cohorts combined, N = 607; (A) PFS for Cell-of origin (COO) class. GCB: green; ABC/non-GCB orange. (B) for OS (C) PFS for DFCI clusters. C1, purple; C2, blue; C3, orange; C4, green; C5, red. (D) for OS (E) PFS for LymphGen classes. P-values were calculated using the log-rank test. BN2, purple; A53, blue; EZB, orange; ST2, green; MCD, red; other, grey. (F) for OS. PFS progression-free survival. OS overall survival. Source data are provided as a Source Data file.
Fig. 4
Fig. 4. Bar plots of DFCI subtypes C1-C5 for PET status after 2 cycles of R-CHOP (PETAL), after 4 cycles of R-CHOP (HOVON-84) and at end of treatment (HOVON-84).
C1 patients show early, maximal response after 2 cycles, while only 39%–46% of C3, C4 and C5 patients show early response, which further extends after 4 cycles and until conclusion of treatment. C2 patients show initial similar response, but limited further improvement. PET-negative status: green; PET-positive status red. Source data are provided as a Source Data file.
Fig. 5
Fig. 5. Association of DLBCL DFCI-subtype C5 vs. all other with PFS for i/eot-PET negative patients.
Kaplan Meier plots for (A) HOVON-84; (B) PETAL; (C) SAKK-38/07; left column “i-PET2”: i-PET after 2 cycles of R-CHOP, middle column “i-PET4”: i-PET after 4 cycles of R-CHOP, right column “eot-PET”: eot-PET after 6 to 8 cycles of R-CHOP treatment, C5 subtype (red), all other subtypes combined (black), PFS, progression-free survival. The risk table below each plot denotes the number of patients at risk in each group at different timepoints. D Forest plot, per cohort and number of R-CHOP treatment cycles. The groups compared correspond to the groups in (AC). Hazard ratios, confidence intervals and statistical significance (P-values) were determined using Cox regression. The sample size in each model corresponds to the number of patients at risk at timepoint 0 in the risk tables in (AC). HR: hazard ratio, black squares with size proportional to weight. (95% CI): confidence interval horizontal lines, and P, unadjusted P-values. Source data are provided as a Source Data file.

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