Baseline circulating tumour DNA and total metabolic tumour volume as early outcome predictors in aggressive large B-cell lymphoma. A real-world 112-patient cohort.
Enora Le GoffPaul Blanc-DurandLouise RoulinCharlotte LafontRomain LoyauxDiana-Laure MBoumbaeIchrafe BenmaadAlexis ClaudelElsa PoullotCyrielle RobeGuillaume GricourtAbdelrazak AissatChristiane Copie-BergmanFrançois LemonnierPhilippe GaulardEmmanuel IttiCorinne HaiounMarie-Hélène Delfau-LaruePublished in: British journal of haematology (2023)
Approximately 20%-50% of patients with large B-cell lymphoma (LBCL) experience poor outcomes. We aimed to evaluate the combined prognostic value of circulating tumour DNA (ctDNA) and total metabolic tumour volume (TMTV) in LBCL. This observational single-centre study included 112 newly diagnosed LBCL patients, receiving R-CHOP/R-CHOP-like chemotherapies. CtDNA load was calculated following next-generation sequencing of cell-free DNA (cfDNA) using a targeted 40-gene lymphopanel. TMTV was measured using a fully automated artificial intelligence-based method for lymphoma lesion segmentation. CtDNA was detected in cfDNA samples from 95 patients with a median concentration of 3.15 log haploid genome equivalents per mL. TMTV measurements were available for 102 patients. The median TMTV was 501 mL. High ctDNA load (>3.57 log hGE/mL) or high TMTV (>200 mL) were associated with shorter 1-year PFS (44% vs. 83%, p < 0.001 and 64% vs. 97%, p = 0.002, respectively). When combined, three prognostic groups were identified. The shortest PFS was observed when both TMTV and ctDNA load were high (p < 0.001). Even with a short follow up, combining ctDNA load with TMTV improved the risk stratification of patients with aggressive LBCL. In the near future, very high-risk patients could benefit from CAR T-cell therapy or bispecific antibodies as first-line treatments.
Keyphrases
- circulating tumor
- newly diagnosed
- diffuse large b cell lymphoma
- artificial intelligence
- end stage renal disease
- cell therapy
- cell free
- ejection fraction
- machine learning
- circulating tumor cells
- deep learning
- peritoneal dialysis
- big data
- prognostic factors
- metabolic syndrome
- copy number
- single molecule
- mesenchymal stem cells
- chronic kidney disease
- case report
- bone marrow
- dna methylation
- convolutional neural network
- skeletal muscle
- patient reported
- cancer therapy
- high throughput
- cross sectional